Patent Application
20230221165
In the field of stationary asset monitoring, networks of wireless sensors are often used to monitor the status of sets of stationary assets co-located at one or more sites. For example, sensors that are part of an industrial site sensing network can monitor one or more conditions associated with equipment deployed in an industrial complex. For example, the data originates from a collection of wireless/wired sensors that may be monitoring stationary assets, e.g., tanks, piping systems, processing systems, fluid and gas systems, and electrical systems.
Furthermore, for a site such as an oilfield, various sensors may be deployed in order to monitor any number of oilfield-related assets. For example, known sensor types include fluid level detectors that are often deployed for monitoring the amount of oil or condensate within holding tanks. In many situations, determination of fluid level inside of a vessel is accomplished by installing a sensor device inside the vessel with wiring connected to a collection point outside of the vessel from which the data are often forwarded to a local or remote monitoring system. The sensors can be based on many phenomena, such as position of floats on top of the fluid level interface(s), measurement of fluid pressure which can be converted to level height, ultrasonic travel time measurement to the fluid level, microwave, optical travel time sensors or time delay reflectometry techniques. In addition, flow meters are commonly deployed on pipelines and compressor monitors are deployed to monitor the status and health of compressors. In addition, various sensors can be deployed at the wellhead for monitoring tubing, casing, or surface flowline pressure or to monitor and control valves.
Typically, for field health and data notifications, daily updates are generally acceptable. Oilfield custom is to provide a 6:00 AM, report to engineers and supervisors when they arrive in the office. For a non-automated location, a simple 24-hour summary of production and current system status (pressure, tank levels) is normally sufficient. Even for typical automated onshore locations it is unusual to expect a morning report of provide more than hourly data.
Likewise, for site monitoring in the agriculture industry, stationary assets, such as water or fuel tanks may be remotely monitored and configured to alert service personnel when refill becomes necessary. Furthermore, geofences, or the like, may be continuously monitored to alert supervisors of the presence of trespassers, and/or field personnel.
Fields that include a large number and diversity of stationary assets may be distributed over vast tracts of land and are often distributed in extremely dangerous or inhospitable environments. Thus, modern asset monitoring networks deploy complex and costly wireless sensors and/or SCADA control elements that may be integrated into a wide area networks (WANs) or even the internet/worldwide web. Often, due to the complexity of these systems highly-trained service personnel are needed for installation, diagnosis and repair of the on-site sensors and power systems. Furthermore, present systems require bulky and cumbersome mounting systems in addition to large area solar panels in order to provide a suitable source of power.
This summary is provided to introduce a selection of concepts that are further described below in the detailed description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in limiting the scope of the claimed subject matter.
In general, in one aspect, one or more embodiments of the invention are directed to a wireless module for determining a fill level of a container. The wireless module includes an enclosure; a processor disposed within the enclosure; a wireless transceiver disposed within the enclosure; and a cable mounted to the enclosure, wherein a first pressure sensor is attached to an end of the cable distal from the enclosure and a second pressure sensor is attached to an opposite end of the cable such that the first pressure sensor is disposed within the enclosure, wherein the processor is configured to cross-correlate readings from the first pressure sensor and the second pressure sensor to determine a net pressure.
In general, in one aspect, one or more embodiments of the invention are directed to a system for monitoring a fill level of a container. The system includes a wireless module disposed on the container, wherein the wireless module comprises: an enclosure, a processor disposed within the enclosure, a wireless transceiver disposed within the enclosure, and a cable mounted to the enclosure, wherein a first pressure sensor is attached to an end of the cable distal from the enclosure and a second pressure sensor is attached to an opposite end of the cable such that the second pressure sensor is disposed within the enclosure, wherein the enclosure is mounted to an outside of the container, wherein the cable is inserted into the container such that the first pressure sensor is disposed near a bottom of the container, wherein the first pressure sensor measures a pressure at the bottom of the container, wherein the second pressure sensor measures a pressure outside of the container, wherein the processor is configured to cross-correlate readings from the first pressure sensor and the second pressure sensor to determine a net pressure for use in calculating the fill level of the container, and wherein the wireless transceiver is configured to wireless relay data from the processor.
In general, in one aspect, one or more embodiments of the invention are directed to a method for determining a fill level of a container. The method includes measuring a tank pressure near a bottom of the container; measuring an atmospheric pressure at the outside surface of the container; subtracting the atmospheric pressure from the tank pressure to determine a net pressure; calculating the fill level of the container using the net pressure.
Other aspects and advantages of the invention will be apparent from the following description and the appended claims.
Specific embodiments of a system and method for field monitoring of stationary assets is described in detail with reference to the accompanying figures. Like elements in the various figures (also referred to as Figs.) are denoted by like reference numerals for consistency.
In the following detailed description of embodiments, numerous specific details are set forth in order to provide a more thorough understanding of the system and method for field monitoring of stationary assets. However, it will be apparent to one of ordinary skill in the art that these embodiments may be practiced without these specific details. In other instances, well-known features have not been described in detail to avoid unnecessarily complicating the description.
Certain embodiments of the methods disclosed herein in accordance with one or more embodiments of the invention may be implemented on virtually any type of computer or mobile device regardless of the platform being used. For example, a computer system or mobile device includes one or more processor(s), associated memory (e.g., random access memory (RAM), cache memory, flash memory, etc.), a storage device (e.g., a hard disk, an optical drive such as a compact disk drive or digital video disk (DVD) drive, a flash memory, etc.), and numerous other elements and functionalities typical of today's computers and mobile devices. As used herein, a computer system further includes those systems that employ system of a chip (SoC) architectures, application specific integrated circuits (ASIC), field programmable gate arrays (FPGA), microcontrollers, or the like. The computer system or mobile device may also include input means, such as a keyboard, a mouse, microphone, proximity sensor, or touch sensor/screen. Further, the computer may include output means, such as a monitor (e.g., a liquid crystal display (LCD), a plasma display, or cathode ray tube (CRT) monitor). The computer system may be connected to a network (e.g., a local area network (LAN), a wide area network (WAN) such as the Internet, or any other similar type of network) via a network interface connection. Those skilled in the art will appreciate that many different types of computer and mobile device systems exist, and the aforementioned input and output means may take other forms generally known in the art. Generally speaking, the computer system includes at least the minimal processing, input, and/or output means necessary to practice embodiments of the invention.
Further, software instructions to perform methods discloses herein in accordance with one or more embodiments of the invention may be stored on any non-transitory computer readable medium such as a compact disc (CD), a diskette, a tape, hard drive, or any type of read only memory such as EPROM, flash ROM, or any other computer readable storage device.
In general, embodiments of the invention relate to a system and method for field monitoring of stationary assets. More specifically, embodiments of the invention relate to a wireless sensor network of extremely small, lightweight, low maintenance and low cost modules for monitoring, for example, oilfield assets and/or agricultural assets. As used herein, a stationary asset refers to an asset having a fixed geographical location. Furthermore, as referred to herein, a field may be any outdoor region, site, or area including at least one stationary fixed asset to be monitored. The modules may include, for example, wireless sensor modules that are attached to the stationary assets, wireless gateway units, and wireless repeater units, at least one of which is located on-site and/or attached to one or more stationary assets. The wireless sensor modules and gateways are configured to automatically associate with one another and to automatically log on, register, and/or report data to, a remote server with minimal or no user input. The modules may be location aware, e.g., may include GPS receivers/chipsets, and may be further configured for straightforward field serviceability, maintenance, and initial configuration, as described in more detail below.
Each sub-network includes a site that is being monitored; and each site being monitored may include a number of stationary assets, e.g., cites 135, 137 and 139 shown in
In accordance with one or more embodiments, a wireless gateway and/or sensor module may be equipped with a global positioning system (GPS) module including a GPS receiver and chipset configured to geolocate the wireless gateway/sensor module, e.g., by computing the latitude and longitude coordinates of the wireless gateway/sensor module. As used herein, wireless gateway and/or sensor modules that are configured to acquire their own location information is termed “location awareness.”
In accordance with one or more embodiments, a wireless sensor module is configured to acquire and/or store sensor data in local memory located within the wireless sensor module, as described in more detail below. Once acquired, the sensor data is transmitted to one or more wireless gateways. The wireless gateways may encode and transmit this data in an appropriate form and under the appropriate set of protocols for transmission over a cellular network. For example, any known wireless communication method may be used by the wireless gateway, e.g., GSM, CDMA, OFDMA, etc. One of ordinary skill will appreciate that cellular networks are generally known in the art and, thus, for the sake of clarity and compactness, the details of the numerous known communication schemes will not be discussed in detail here. However, one of ordinary skill will appreciate that the wireless gateway may communicate by way of the cellular network under protocols defined within the various telecommunication standards, including but not limited to 3G, WiMAX, 4G-LTE, or the like.
One of ordinary skill will also appreciate that access to the cellular network infrastructure also integrates each sensor sub-network with the larger Internet 119. Accordingly, each wireless gateway may communicate through the cellular network-internet infrastructure in order to exchange data with the remote server network 107. In accordance with one or more embodiments, the remote server network 107 includes one or more remote data storage facilities 118, remote data server 121 that may itself include a local data storage facility 121a. In addition, the remote data storage facility 118 and remote data server 121 may be accessed by way of terminal 123, personal computer 125, or mobile computing device 127, e.g., a cellular phone, smart phone, tablet PC, or the like. As used herein, a data storage facility includes a cloud based remote data center, or any other system that includes network accessible memory locations. Accordingly, the data acquired by the wireless sensor modules may be easily accessible anywhere where internet access or cellular service is available. One of ordinary skill will appreciate that the system may also be deployed within smaller scale local area networks (LANs) or wide area networks (WANs) without departing from the scope of the present disclosure.
Furthermore, as shown in
In accordance with one or more embodiments, the battery 217 may be of the any suitable type, including, e.g., nickel metal hydride (NiMH) type, nickel cadmium, lithium ion, lithium ion phosphate type (lipo), and lithium thionyl type. The battery may be either a primary or secondary version that is, e.g., capable of continuous trickle charging via solar cell. For the sake of clarity, the power connections required to provide power from the power module 213 to the individual components of the gateway module 215 are not shown. However, one or ordinary skill will appreciate that each element of gateway module 215 is powered by power module 213 or from a suitable regulated power supply (not shown) within the gateway module 215 that itself is powered from power module 213.
In accordance with one or more embodiments, the output of the power module 213 is enabled or disabled by way of a proximity switch 219. In accordance with one or more embodiments, the proximity switch 219 is a magnetic reed switch that is configured in a normally open configuration. When placed in close proximity to a magnetic material, the proximity switch 219 forms a closed contact and activates the power output to the gateway module 215. Herein, the term magnetic material is used generally and refers to a material that produces a magnetic field in response to an applied magnetic field, e.g., various ferromagnetic materials. Accordingly, the wireless gateway 201 may power up automatically (i.e., without user input) when placed in the field, e.g., when mounted to an asset in the field made of a magnetic material. In one example, the gateway 201 may be affixed to a tank or vessel in the field, whose walls are formed of a magnetic material. Accordingly, the gateway 201 powers up immediately after the enclosure is affixed to the wall of the tank or vessel. Once power is established to the unit, a boot-up sequence begins and a connection procedure is initiated to automatically install the gateway into the network, as described in more detail below. No external power switch or user input is necessary to install the gateway 201 in the field and, thus, installation and replacement are greatly simplified as compared to existing devices.
In accordance with one or more embodiments, on an occasion when the gateway 201 is to be mounted to an asset formed from a non-magnetic material, e.g., a fiberglass tank, or the like, a magnetic token or plug may be affixed near the magnetic reed switch to induce the switching of the magnetic reed switch. Alternative, a capacitive, or other non-magnetic, proximity switch may be used to trigger the power up/boot sequence.
In accordance with one or more embodiments, a proximity sensor may be used to trigger an interrupt pin of the module's internal microcontroller (MCU), described in more detail below. In this embodiment, the gateway may be shipped to the end user in a deep power hibernation mode. If the proximity sensor is a magnetic reed switch, it may be configured to toggle the MCU into and out of full operation mode as the unit is placed in proximity of a ferromagnetic material such as a steel tank or structure. The unit will remain operating until the power is toggled again by touching it on a ferromagnetic object. This simplifies the installation on a non-magnetic material such as a fiberglass tank because it eliminates the requirement of attaching a magnetic token to the unit. It also allows the creation of a specialized computer algorithm to prevent accidental toggling on-or-off by requiring a certain timed interval to place the module in contact with the magnetic object to toggle the power. In accordance with one or more embodiments, the proximity sensor may be magnetic, capacitive, accelerometer, acoustic or any other type of sensor.
In order to simplify the installation of the gateway 201 even further, the enclosure may be affixed to the asset by way of a suitable high-bond double-sided tape, e.g., any tape having a durable, specialized multi-purpose adhesive. Due to the lightweight design of the modules themselves, such a tape may advantageously provide a durable and long-lasting attachment to the asset, even in the presence of foul weather, heat, and age. The size and weight of the gateway in accordance with one or more embodiments is dramatically lower than existing modules known in the art, which require complicated mounting stands and/or brackets for support and thus are not amenable to long-term or permanent mounting by this method. Of course, one of ordinary skill will appreciate that many different types of methods may be employed for mounting the enclosure and, accordingly, the present invention is not limited to any particular method disclosed herein.
The cellular modem module 225 may be of any type known in the art, and, in accordance with one or more embodiments may be a module optimized for use in machine-to-machine wireless networks (m2m). As used herein, the term cellular is not limited to modern modules that transfer data over the cellular band of 869 MHz-894 MHz. Rather, the term “cellular” also includes modules that may operate in any known band or set of bands, including, e.g., the 800 band, PCS band, 700 MHz band, 1.4 GHz band, AWS band, ISM bands or the BRS/EBS band. Accordingly, the cellular module 225 is equipped with antenna/antennas 225a operably connected to transceiver 227 for operation in the appropriate frequency band and for communication with the wider cellular network, using methods and protocols that are generally known in the art. Furthermore, while not explicitly shown in the drawing, the cellular modem module 225 further includes all the internal components of the typical cellular modem module. For details of one example, the reader is directed to the CC864-DUAL Hardware User guide 1vv0300791 Rev. 6-201202-13. One of ordinary skill in the art will appreciate that the above examples of cellular modem modules known in that art are provided merely by way of example and, thus, the present invention is not limited to only the cellular modem modules listed above, but rather, may employ any known or to be developed cellular modem module without departing from the scope of the present disclosure. Other wireless protocols may also be employed, such as Wireless Modbus, Fieldbus, PROFIBUS, WirelessHART, or ISA SP 100.11a protocols.
Returning to the description of the gateway module 215, the microcontroller 229 serves as the master controller for the gateway module 215. The microcontroller may be any microcontroller known, or to be developed in the art, e.g., the ATMEGA328P, which is an 8-bit AVR RISC-based microcontroller that includes 32 KB ISP flash memory with read-while-write capabilities, 1024 B EEPROM, 2 KB SRAM, 23 general purpose I/O lines, 32 general purpose working registers, three flexible timer/counters with compare modes, internal and external interrupts, serial programmable USART, a byte-oriented 2-wire serial interface, SPI serial port, a 6-channel 10-bit A/D converter (8-channels in TQFP and QFN/MLF packages), programmable watchdog timer with internal oscillator, and five software selectable power saving modes. Other examples microcontrollers include the TI MSP430 series of MCU mixed signal processors. The microcontroller 229 is configured to receive sensor output from sensors 223a, 223b, . . . , 223n. In addition, microcontroller 229 is configured to interface with transceiver 227 in order to receive asset sensor data from remote wireless sensors (not shown).
In accordance with one or more embodiments, the remote wireless sensor modules and wireless gateways communicate by way of an RF protocol, preferably operating in one of the ISM bands. However, one of ordinary skill will appreciate that other frequency bands and protocols may be used including standard Zigbee, Wi-Fi, Bluetooth, or the like. The transceiver 227 may be any transceiver known or to be developed in the art, for example, the RFM12B or RFM22B, which are low cost ISM band frequency shift keying (FSK), Gaussian frequency shift keying (GFSK), and on-off keying (OOK) transceiver modules implemented with high resolution phase locked loops (PLL) working at signal ranges from the 433/868/915 MHZ bands. The transceiver 227 complies with FCC and ETSI regulation and, further may include the ability to transmit/receive over various carrier bands, e.g., in the case of the RFM12B, the device may be programed to operate in one of 255 separate bands, thus allowing the module to communicate with separate co-located sensor networks over 255 unique carrier frequency bands using antenna 227a. One of ordinary skill will appreciate that the number of sensors and bands is only limited by the choice of hardware and, thus, the particular hardware discussed herein and shown in
In accordance with one or more embodiments, the sensors 223a, 223b, . . . , 223n may provide information relating to the environment surrounding the gateway module. While three sensors are shown in the example, one of ordinary skill will appreciate that any number of sensors may be used without departing from the scope of the present invention. For example, the sensors 223a, 223b, . . . , 223n may be temperature, pressure, and/or humidity sensors. In accordance with one or more embodiments, a precision linear active thermistor IC may be employed to take periodic temperature measurements. To improve accuracy and reduce cost of the wireless sensor modules in the field, the reading of the linear active thermistor IC in the gateway module may be used to calibrate the on-board CPU temperature readings of the wireless sensor modules, as described in more detail below.
The gateway 201 is further equipped with a proximity sensor 220 and an indicator unit 221 which are both configured to electrically communicate with the microcontroller 229. The indicator unit may be an acoustic exciter and/or a visual indicator, such as one or more light emitting diodes (LED's). In accordance with one or more embodiments, the proximity sensor 220 may operate in a proximity mode or in a physical touch mode. In proximity mode, the sensing element may be embedded within the enclosure, whereas in touch mode, a touch plate may be attached to the outside of the enclosure. Gateway 201 may be further configured to produce an audible signal from an audio exciter 221 regarding the health or configuration status of the module in response to user proximity and/or touch. For example, two long tones output from an audio exciter 221 may indicate a fully operational status, while a number of short bursts of sound may indicate a failure to communicate with one or more remote sensors or with the remote server. In another embodiment, the frequency of the tone may indicate the received signal strength from a wireless sensor module that is within range of the gateway. For example, a higher frequency audible tone may indicate high signal strength (good reception) and a lower frequency tone may indicate low signal strength (poor reception). Alternatively, indicator unit 221 includes of one or more high output LED indicator lights. In accordance with one or more embodiments, the indicators may be LED's of different colors that produce very high light intensities that are clearly visible even in direct bright sunlight. The light blinking, duration and color sequences can be programmed to provide diagnostic and informative information for the user.
Further, the proximity/touch sensor may be used to program the module itself. For example, touches by a user of different durations may initiate different diagnostic sequences or initiate a reprogramming of certain parameters of the system if desired. In accordance with another embodiment, indicator unit 221 employing an exciter may output a prerecorded audio track that is stored within the memory of microcontroller 329, or that is stored in separate external memory (not shown) that is operably connected to the microcontroller 329. In this example, the audio track may use spoken language to indicate the health of the module or the value of certain system parameters.
In accordance with one or more embodiments, the indicator unit 221 may use an exciter of the contact type. Generally speaking, a contact type exciter is a small form factor electrodynamic transducer, more or less a speaker without the cone. Accordingly, in one or more embodiments of the invention, the exciter 221 may be mounted directly to the solar panel 211, and, thus, the solar panel itself serves as the vibrating sound source, resonator, or effective speaker cone. Deploying the solar panel as the effective resonator results in suitable sound quality and also reduces the number of required system components and, thus, the overall cost and weight of the system.
In accordance with one or more embodiments, the battery 317 may be of the nickel metal hydride (NiMH) type, lithium ion phosphate type (lipo), and lithium thionyl type. In particular, lithium thionyl batteries have proven to provide an extremely high power density and a suitable single cell operating voltage of 3.6V. Accordingly, a single lithium thionyl battery is capable of reaching internal processor and RF operating voltages. For the sake of clarity, the power connections required to provide power from the power module 313 to the individual components of the wireless sensor electronics module 315 are not shown. However, one or ordinary skill will appreciate that each element of wireless sensor electronics module 315 is powered by power module 313.
In accordance with one or more embodiments, the output of the power module 313 is enabled or disabled by way of the proximity switch 319. In accordance with one or more embodiments, the proximity switch 319 is a magnetic reed switch that is normally open. However, when placed in close proximity to a magnetic material, the proximity switch 319 forms a closed contact and activates the power output to the wireless sensor electronics module 315. Herein, the term magnetic material is used generally and refers to a material that produces a magnetic field in response to an applied magnetic field, e.g., various ferromagnetic materials. Accordingly, the remote wireless sensor module 301 may power up automatically (i.e., without user input) when placed in the field, i.e., when mounted to an asset made of a magnetic material. In one example, the wireless sensor module 310 may be affixed to a tank in the field, having walls made from a magnetic material. Accordingly, the remote wireless sensor module 301 powers on immediately after the enclosure is affixed to the wall of the tank and begins a boot up and connection procedure to automatically configure itself to communicate with the wireless gateway module, as described in more detail below. No external power switch or user input is necessary to install the remote wireless sensor module 301 in the field and, thus, installation and replacement become greatly simplified.
In accordance with one or more embodiments, on an occasion when the remote wireless sensor module 301 is proximate to an asset formed from a non-magnetic material, e.g., a fiberglass tank, or the like, a magnetic token or plug, may be affixed near the magnetic reed switch to induce the switching of the magnetic reed switch. Alternative, a capacitive, or other non-magnetic, proximity switch may be used to trigger the power up/boot sequence. Furthermore, to simplify the installation of the remote wireless sensor module 301 even further, the enclosure may be affixed to the asset by way of a suitable double sided tape, e.g., as described above in reference to
In accordance with one or more embodiments, the magnetic proximity switch may be used to trigger an interrupt pin of the remote wireless sensor's internal microcontroller (MCU), rather than being used as a primary power switch. In this embodiment, the remote wireless sensor module may be shipped to the end user in a deep power hibernation mode. The magnetic proximity switch can be configured to toggle the MCU into and out of full operation mode as the unit is placed in proximity of a ferromagnetic material such as a steel tank or structure. The unit will remain operating until the power is toggled again by touching it on a ferromagnetic object. This simplifies the installation on a non-magnetic material such as a fiberglass tank because it eliminates the requirement of attaching a magnetic token to the unit. It also allows the creation of a specialized computer algorithm to prevent accidental toggling on-or-off by requiring a certain timed interval to place the module in contact with the magnetic object to toggle the power.
Returning to the description of the wireless sensor electronics module 315, the microcontroller 329 serves as the master controller for the wireless sensor electronics module 315. Accordingly, the transceiver 327 includes interface 327b for communication with and for programing by way of the microcontroller 329. The microcontroller may be any microcontroller known in the art, e.g., as described above in reference to
In accordance with one or more embodiments, wireless sensor electronics module 315 communicates with the wireless gateway module by way of an RF protocol, preferably operating in one of the ISM bands. However, one of ordinary skill will appreciate that other frequency bands may be used including standard Zigbee, Wi-Fi, and Bluetooth. The transceiver 327 used for the communication may be any transceiver known in the art, as described above in reference to
One of ordinary skill will appreciate that the number of sensors and bands is only limited by the choice of hardware and, thus, the particular hardware discussed herein and shown in
In accordance with one or more embodiments, the sensors 323a-323c may provide information relating to the asset being monitored by the remote wireless sensor module, as described in more detail below. For example, the remote wireless sensor module may be a fluid level detector mounted to a fluid tank, an accelerometer/orientation detector, mounted to a beam pump or level control system. Other sensor types include, e.g., microphones and magnetometers. While three sensors are shown in the example, one or ordinary skill will appreciate that any number of sensors may be used without departing from the scope of the present invention. For example, the sensors 323a, 323b, . . . 323n may be sensors designed to measure temperature, pressure, acceleration, magnetic field, electric field, humidity, or any other known sensor. In accordance with one or more embodiments, the temperature of the remote wireless sensor electronics module 315 may be monitored by way of the on-board CPU temperature readings. To improve accuracy, the value of these temperature sensors may be correlated with a high-precision thermistor IC deployed within the wireless gateway module as described above in reference to
The remote wireless sensor module 301 is further optionally equipped with a proximity sensor 320 and an indicator unit 321 both of which are configured communicate with the microcontroller 329. The indicator unit may be an acoustic exciter and/or a visual indicator, such as one or more light emitting diodes (LED's). In accordance with one or more embodiments, the proximity sensor 320 may operate in proximity mode or physical touch mode. In proximity mode, the sensing element may be embedded within the enclosure, whereas in touch mode, a touch plate may be attached to the outside of the enclosure. Sensor module 301 may be further configured to produce an audible signal from an audio exciter 321 regarding the health or configuration status of the module in response to user proximity and/or touch. For example, two long tones output from an audio exciter 321 may indicate a fully operational status, while a number of short bursts of sound may indicate a failure to communicate with one or more remote sensors or with the remote server. In another embodiment, the frequency of the tone may indicate the received signal strength from a wireless sensor module that is within range of the gateway. For example, a higher frequency audible tone may indicate high signal strength (good reception) and a lower frequency tone may indicate low signal strength (poor reception). Alternatively, indicator unit 321 includes of one or more high output LED indicator lights. In accordance with one or more embodiments, the indicators may be LED's of different colors that produce very high light intensities that are clearly visible even in direct bright sunlight. The light blinking, duration and color sequences can be programmed to provide diagnostic and informative information for the user.
Further, the proximity/touch sensor may be used to program the module itself. For example, touches by a user of different durations may initiate different diagnostic sequences or initiate a reprogramming of certain parameters of the system, if desired. In accordance with another embodiment, the indicator unit 321 employing an exciter may output a prerecorded audio track that is stored within the memory of microcontroller 329. In this example, the audio track may use spoken language to indicate the health of the module or the value of certain system parameters.
In accordance with one or more embodiments, the indicator unit 321 may employ an exciter of the contact type, also known as an exciter. Generally speaking, an exciter is a small form factor electrodynamic transducer, more or less, a speaker without the cone. Accordingly, in one or more embodiments of the invention, the exciter 321 may be mounted directly to the lid 305 of the enclosure 303, and, thus, the lid itself serves as the vibrating sound source. More specifically, a portion of an inner surface 323 the lid 305 may be milled to form a notched portion 325 for housing the exciter 321. Accordingly, a thin portion of the lid 305 directly above the notch portion 325 serves as an effective resonator for generating sound by way of the exciter 321. Deploying the thin portion of the thin 305 as the effective speaker cone results in suitable sound quality and also reduces the number of required system components and, thus, the overall cost and weight of the system.
Returning to the method of
D
M1=√{square root over ((Lat_M−Lat_1)2+(Long_M−Long_1)2)}
Accordingly, the server may compute the distance between the newly installed gateway M and every field, F1-FN, and select the field nearest to the newly installed gateway as the field to associate the gateway with. As used herein, the term association refers to the linking by the server of the predetermined field data structure with the geostamped MEID and thus, the newly installed gateway. Accordingly, every measurement made by a wireless sensor module associated with the gateway's ED, may be automatically associated with a predetermined stationary asset in the field.
Returning to
While the description above is focused on an example of gateway modules associating with particular fields, alternate embodiments may generally associate any module (WM) with any predetermined set of coordinates stored on the remote server. For example, as shown in
Advantageously, the above described GPS based auto-linking of the wireless gateway allows for nearly automated installation or replacement of a wireless gateway in a field. For example, a new wireless gateway may be simply affixed to a stationary asset by a service person. Once affixed, the wireless gateway will automatically power on, initiate a boot sequence, acquire its GPS coordinates and transmit the GPS coordinates to the remote server. The server then will automatically associate the gateway with an existing field and field location based on the location of the gateway. Accordingly, a user of the remote server need not provide any server side installation or user input. Rather, the sensor values are automatically made available to the user of the GUI by way of the auto-linking GPS procedure. Of course, if necessary, and if the location of a newly installed gateway is known, the user may alternately manually link a field to the newly installed wireless gateway by manually entering the field identification information, MEID, and location of the gateway into the server.
In accordance with one or more embodiments, the procedure of auto-linking the wireless gateway may be extended to the sensor modules as well. In one embodiment, a sensor module may have onboard GPS units themselves, and can link and associate the same way as described above for the gateways. In another embodiment, the system can assign approximate GPS locations for a sensor by using the GPS location data of the gateway or gateways it transmits to. In yet another embodiment, a field user can register or assign data to a sensor, repeater or gateway using a smart cellphone, tablet or portable computer. The phone can scan a bar code or quick response (QR) code on the device label, which uploads the unit ID and any additional data to the phone. Another option is for a near field communication (NFC) such as radio frequency ID (RFID) between the device and phone. Accordingly, the user can manually add additional data on the spot. In addition, a phone's own GPS position, if available in the cellphone hardware, may be automatically added to the device data so that its unique GPS position may be uploaded wirelessly into the device database.
Further to the previous example of uploading device information, a smart cellphone, tablet or portable computer may be used to display the current or near real-time data transmitted by a wireless sensor, repeater or gateway. For instance, by touching the sensor, repeater or gateway device in a programmed manner, the device can be instructed to immediately transmit its most recently acquired data to the online database, which can then immediately transmit the information directly to the user's cellphone or computer for display. In this manner the user's cellphone or computer may be used as a virtual sensor display device. This eliminates the need for incorporating complex or costly display elements on the modules. In addition, along with the internal antenna and proximity sensor features, the enclosures will enjoy maximum durability and weatherability by minimizing penetrations, attachments and breaches of the enclosure surfaces.
In accordance with one or more embodiments, once the fill levels, sensor values, and measurement times are known, the service person may input these values in a mobile device such as a mobile telephone, smart phone, tablet or computer, or the like. The values are then transmitted via the cellular network to the remote server where they are stored in memory and used by the remote server to compute a calibration curve 805. In one example, where internet access is available to the mobile device, the fill levels and sensor values may be transmitted by way of IP data packets to the remote server. Alternatively, the fill levels and sensor values may be transmitted by SMS, or the like. More generally, the fill levels and sensor values may be transmitted from the mobile device to the remote server by any communication method or protocol known in the art.
One of ordinary skill will appreciate that many different numerical fitting routines can be employed in the above fitting procedure and, accordingly, the calibration curve may be obtained any number of ways without departing from the scope of the present disclosure. Furthermore, depending on the nature of the sensor response, nonlinear fit routines, e.g., nonlinear least squares, and nonlinear calibration curves may be employed, e.g., polynomial fits, or the like.
In accordance with one or more embodiments, both the calibration points and the sensor data may be stored in memory at a data storage facility that is accessible by, or co-located with, the remote server. Thus, calibration points that are taken by a service person may be accumulated over time and one or more of the points may be used by the server to refit new, or previously existing and stored sensor data to further increase the accuracy of the calibration in real time. In accordance with one or more embodiments, the calibration points taken by the service person may also be time stamped. Accordingly, the particular calibration points used by the server to generate the calibration curve may be chosen by the server or manually by a user based upon a certain time criteria or range of time criteria. For example, when a service person replaces a defective sensor with a new sensor, the set of calibration points may be chosen as all points having a time stamp starting shortly after the installation of the new sensor. Alternatively, the server may be programmed to choose a set of most recent calibration points based on time and date in order to improve the accuracy of the remote calibration in a situation where the calibration of the sensor is known to drift slowly over time such that old calibration points are no longer accurate. In other embodiments, all, or a subset of, the calibration points may be weighted according to their age and processed by the server using a numerical fitting routine that employs weighted fitting, e.g., a numerical weighted least squares fit.
In step 911, the server selects a set of calibration items stored in memory. This set of calibration items may be chosen by hand by a user or determined automatically by the server based upon preprogrammed conditions, e.g., by time, as described above. In step 913, the server computes, using the selected set of calibration items, a calibration model. For example, the calibration model may be a linear or nonlinear fit to the calibration points as described above in reference to
In accordance with one or more embodiments, the acoustic impulse generator 1003 generates an acoustic impulse 1009 which travels along the wall of the vessel 1007. A short time after generation of the acoustic impulse 1009, the acoustic impulse 1009 reaches the acoustic impulse receiver 1005 where the pulse is detected by acoustic detection circuitry, e.g., a microphone, or any other detector adapted to detect acoustic signals. Generally speaking, the level of fluid in the vessel may be determined by the travel time of the acoustic impulse between the impulse generator 1003 and the acoustic impulse receiver 1005. Alternatively, the level of fluid in the vessel may be determined by properties of the acoustic impulse received at the acoustic impulse receiver 1005, as described in more detail below, e.g., using a characteristic of acoustic impulse spreading (dispersion) measured at the receiver.
As can be seen in
In step 1205, the first impulse arrival time t0 is computed. As described in more detail below, the first impulse arrival time t0 may be computed from the first impulse data in a number of ways. In addition, the first impulse arrival time t0 may be computed using the processor of the acoustic impulse generator, by the processor of the acoustic impulse receiver, or by a remote server after the first impulse data has been transferred over the wireless network to the remote server. In accordance with one or more embodiments, t0 may be computed by determining the time of acquisition of the maximum value of the first impulse data. Alternatively, t0 may be determined by determining the time of a zero-crossing in the first impulse data described in more detail below in reference to
As illustrated in
In step 1209, the second impulse arrival time t1 is computed. As described in more detail below, the second impulse arrival time t1 may be computed from the first impulse data in a number of ways. In addition, the second impulse arrival time t1 may be computed using by the processor of the acoustic impulse receiver 1003, by the processor of the acoustic impulse generator, or by a remote server after the second impulse data has been transferred over the wireless network to the remote server. In accordance with one or more embodiments, t1 may be computed by determining the time of acquisition of the maximum value of acoustic impulse waveform data. Alternatively, t1 may be determined using a zero-crossing method and/or dispersion method described in more detail below in reference to
In step 1211, the total travel time of the acoustic impulse between the impulse generator 1003 and the impulse receiver 1005 is calculated based upon t1 and t0. For example, in accordance with one or more embodiments, the total travel time Δt=t1−t0. Then in step 1213, the fluid level is computed based upon Δt and a previously determined time-to-level calibration factor as is known in the art. While the precise form for converting Δt to fluid level will vary depending on many factors, including tank shape, material of fabrication, temperature (both tank and fluid), field tests done by the inventor on tanks commonly employed in the oilfield and agricultural fields produce acoustic waves whose velocity changes within a range of 10-40 microseconds per inch of fluid.
In accordance with one or more embodiments, system for measuring fluid level in a container may employ additional receiver(s) in the system. Two such embodiments are shown in
In another embodiment shown in
In practice, the acoustic signals measured in the field always include substantial noise and, due to limited on-board processing speed and memory, the signals themselves may eventually be down sampled or compressed, as described in more detail below. These two factors taken in combination often severely impair the ability of the microcontroller to make accurate measurements of t1 and t0 without some amount of preprocessing of the raw data. Typical field conditions include various noise sources such as wind, vehicle engine noise, or the like.
Furthermore, in a manner similar to that described above for the acquisition of acoustic impulse data 1601, the acoustic impulse 1603 may be acquired by an acoustic impulse receiver, similar to that shown in
The precise location in time of time windows 1605 and 1607 depends on many factors including the Young's modulus G of the vessel wall, the density and thickness of the vessel wall material, the density and compressional modulus of the fluid, and the temperature of the tank and/or fluid. Thus, prior knowledge of the vessel being monitored is preferable for setting up the time gates within the impulse generator and impulse receiver to ensure that the desired data is acquired. In absence of any knowledge of the physical characteristics of the vessel, the time windows may be set up by service personnel at the time of installation in the field. However, such a process is time consuming and fraught with difficulty associate with the “trial and error” approach required to determine the precise location of the time windows. In accordance with one or more embodiments, the impulse generator and impulse receiver may be configured to compute the location of the time windows based upon a physical model and various parameters associated with the properties of the tank being measured. These physical parameters may be previously stored in memory of the modules themselves or may be stored at a remote location accessible on the network and retrieved by the modules when needed. Alternatively, a service person may input the parameters directly into a mobile device and the mobile device may upload these parameters to a remote server or the parameters may be transmitted to the devices in accordance with methods known in the art.
Of particular importance for the computation of the time windows 1605 and 1607 is the velocity of propagation cp of the flexural waves along the wall of the tank Lamb's equation, with modifications, may be used to approximate the velocity of flexural wave in a cylindrical vessel when the thickness of the vessel wall is small compared to the diameter of the vessel, a condition that is met by most vessels in the field. This velocity cp is given by
where cr is the rotational (shear) velocity of sound in the vessel wall, cd is the dilational (longitudinal) velocity of sound in the vessel, f is ½ the thickness of the vessel wall, is the wavenumber, ρs is the density of the tank wall, and ρw is the density of fluid in the vessel.
Through the use of the above equation, the velocity of the flexural wave may be estimated and, given the known distance between the impulse generator and impulse receiver, the propagation time of the flexural wave between the impulse generator and impulse receiver may be computed. Accordingly, the positions of acquisition windows 1605 and 1607 may be computed without the requirement of a time-consuming trial and error calibration procedure employed by field personnel. In some situations, small corrections to the computed acquisition windows 1605 and 1607 may be made to compensate for effects not taken into account in the model. In accordance with one or more embodiments, the use of the physical model embodied by the above modified Lamb's equation enables the prediction and calibration of the technique for different fluid and vessel properties and environmental variations. In addition, software onboard the field modules can initiate an auto-calibration procedure upon power-up during field installation. For instance, the receiver can be programmed to search for the time of arrival of the maximum amplitude wave crossing in a series of programmed test measurements. This information can be used to establish the approximate boundaries of the expected acquisition time interval.
In step 1705, the first impulse arrival time t0 is computed by selecting a reference data point in the first pulse signal data. In one example, the first impulse arrival time t0 is computed as the first zero crossing in a rising slope (i.e., slope >0) of the first impulse data. Advantageously, selecting t0 to be the first rising slope zero crossing enables a precise determination of to even when the amount of acquired data is low and/or the when the absolute peak of the acoustic impulse is not measurable, either due to the acquired signal being noisy, amplifier saturation, or due to the fact that the acquisition window was not long enough to capture the entire acoustic impulse waveform. Advantageously, because the first zero crossing (or, equivalently any early occurring zero crossing) is chosen, only a small portion of the total waveform need by collected, greatly lowering the data storage and processing requirements. For example, in
In accordance with one or more embodiments, because the location of the zero crossing is used rather than the overall peak of the waveform, the computation is less sensitive to systematic effects that may result from the application of a low pass filter to a noisy signal. Applying a strong low pass filter to remove noise sources such as wind noise, vehicle noise, compressor noise, or the like, becomes readily available. In addition, field tests by the inventor have shown that the position of the zero crossing is generally much less sensitive to noise than the overall peak value of the dataset. Accordingly, the use of the zero crossing technique as disclosed herein allows for highly repeatable measurements of t0.
In embodiments where the data is sampled across the zero crossing without logging a point sufficiently close to the zero crossing, a linear interpolation technique may be employed to find the zero crossing. For example, the data point just above and below zero may be used to linearly interpolate the position of the zero crossing. In accordance with one or more embodiments, the data processing necessary to locate the zero crossing may be done using the processor of the acoustic impulse generator, by using the processor of the acoustic impulse receiver, or by a remote server after the first impulse data has been acquired by the acoustic impulse generator and transferred over the wireless network to the remote server.
Furthermore, one of ordinary skill in the art will recognize that while the first zero crossing is illustrated in the example above for obtaining to, any zero crossing may be used without departing from the scope of the present disclosure. Furthermore, as discussed above, the time when the impulse data reaches a maximum may be used. Alternatively, combinations of all the above may also be used. For example, the times of several zero crossings and/or the peak time may be averaged together and used as the to reference. Furthermore, while the examples of zero crossings and peak amplitudes are used in the example laid out above, any reference point may be used without departing form the scope of the present disclosure. For example, to may be determined by choosing any point in the first impulse data that occurs between a zero crossing and a peak without departing from the scope of the present disclosure. For example, such an arbitrary point may be determined by selecting a point in the first impulse that whose amplitude value falls within a predefined range of values. Once of ordinary skill, having the benefit of this disclosure, will appreciate that the interpolation procedure described above in the context of zero crossing interpolation may also be applied for any point without departing from the scope of the present disclosure.
As illustrated in
In step 1709, the second impulse arrival time t1 is computed. In accordance with one or more embodiments, t1 may be computed by selecting a zero crossing in the flexural wave data in a manner that is identical to that described above in reference to step 1705. In step 1711, the total travel time of the acoustic impulse between the impulse generator and the impulse receiver is calculated based upon t1 and t0. For example, in accordance with one or more embodiments, the total travel time Δt=t1−t0. Then in step 1713, the fluid level is computed based upon Δt and a previously determined time-to-level calibration factor, as is known in the art. Alternatively, using the known distance between the impulse generator and the impulse receiver in conjunction with the measured and Δt, the speed of the flexural wave cp may be computed.
Furthermore, while the examples of zero crossings and peak amplitudes are used in the example laid out above for obtaining t1, any reference point may be used without departing form the scope of the present disclosure. For example, t0 may be determined by choosing any point in the first impulse data that occurs between a zero crossing and a peak without departing from the scope of the present disclosure. For example, such an arbitrary point may be determined by selecting a point in the first impulse that whose amplitude value falls within a predefined range of values. Once of ordinary skill having the benefit of this disclosure will appreciate that the interpolation procedure described above in the context of zero crossing interpolation may also be applied for any point without departing from the scope of the present disclosure.
In step 1805, the dispersion of the flexural impulse data is computed. For example, as shown in
In step 1807, the fluid level is computed based on the dispersion of the flexural impulse data. As shown in
In step 2005, the arrival time t0 of the preflexural impulse is computed. For example, as shown in
Advantageously, the above method allows for the reduction of timing uncertainties because the preflexural wave provides an accurate and repeatable to reference. Additionally, the above method provides a way to apply environmental compensation to the readings, specifically temperature effects. Higher temperature causes both the preflexural and flexural waves to slow down. Accordingly, a temperature-corrected flexural wave travel time may be obtained by scaling this measured time based on the % change of the preflexural arrival time. Accordingly, temperature effects on travel time in large tanks, which can be appreciable, are compensated for.
As described above, in accordance with one or more embodiments of the invention, reference point detection is used, both to compute the first impulse arrival time t0 and to compute the second impulse arrival time t1. Thus, in order to compute accurate total travel time Δt=t1−t0 in accordance with one or more embodiments of the invention, a method for detecting reference points, e.g., zero crossings is used that leads to a repeatable and consistent tracking of a reference point, e.g., a zero crossing on a waveform as subsequent measurement are made, as described in more detail below in reference to
Furthermore, while the examples of zero crossings are used in the example laid out above for determining t0 and t1, any reference point may be used without departing form the scope of the present disclosure. For example, t0 and t1 may be chosen to be times at which peaks occur in the dataset. In addition, for example, t0 may be determined by choosing any point in the first impulse data that occurs between a zero crossing and a peak without departing from the scope of the present disclosure. For example, such an arbitrary point may be determined by selecting a point in the first impulse that whose amplitude value falls within a predefined range of values. Once of ordinary skill having the benefit of this disclosure will appreciate that the interpolation procedure described above in the context of zero crossing interpolation may also be applied for any point without departing from the scope of the present disclosure.
For simplicity, in what follows, an example limited to the zero crossing as the point chosen. However, one of ordinary skill having the benefit of this disclosure will appreciate that any point may be used without departing from the scope of the present disclosure. For example, while zero crossings may be located by selecting only those points within a predetermined data window centered at zero, any other point may be chosen by using any other window.
Returning to
In step 2201, reference impulse data and second impulse data is acquired. In accordance with one or more embodiments, the reference impulse data may be acoustic impulse data that was previously acquired and stored in memory as a reference. In this example, the reference impulse data is a propagated initial acoustic impulse that is chosen as a reference for a subsequent zero crossing computation using subsequently acquired second impulse data. For example, the reference impulse data may be a series of samples of waveform 2101 and the second impulse data may be waveform 2103, as described above. In addition, examples of the reference impulse data and the second impulse data are shown in
In one example, the method for computing the reference data points in impulse data is accomplished by choosing a zero crossing in the second impulse data by referencing a zero crossing in the reference impulse data as described in more detail below. However, one of ordinary skill in the art having the benefit of this disclosure will appreciate that any point may be used and accordingly, the present disclosure is not limited only to embodiments that select zero-crossing points as the reference data points. In accordance with one or more embodiments, once the reference data point, e.g., a zero crossing, in the second impulse data is chosen, the fill level may be determined by computing the time delay between the arrival of a previously acquired first acoustic impulse and the second acoustic impulse, as described above in reference to
In step 2203 the reference dataset is further processed by reformatting the data into a reference subset of the reference impulse data. In accordance with one or more embodiments, reformatting accomplished by first parsing the reference impulse data to generate a subset of the reference impulse data that includes, e.g., peak data points and adjacent data points that are adjacent to the reference data point, e.g., zero crossing points, as shown by the data points joined by the set of solid lines 2303 of
After all zero crossings and associated peak amplitude values are computed, these values are stored in memory as the reference subset of the acquired reference impulse data. In this way, the acquired reference impulse data is reformatted and compressed to allow for more efficient processing and use of on-board memory. An example of a reference subset is shown as data 2317 in
In step 2205 the same reformatting process from step 2203 is applied to the second impulse data to generate a second subset of the second impulse data.
In step 2207 an offset value A between the reference subset and second subset by computing the peak of a cross-correlation measurement between the second subset and the reference subset. In accordance with one or more embodiments, the ith element of the cross-correlation Ci of the two datasets is defined by the equation:
where xi is the i-th element of the reference subset x of having length N: x=[x1, x2, . . . xN] and yi is the i-th element of the second subset y having length M: y=[y1, y2, . . . , yM].
In step 2209 one of the plurality of second zero crossings is selected based on the shift computed in step 2207. To continue with the example above, if the i-th zero crossing of the reference subset is chosen as the reference zero crossing, the i+1 element is chosen as the second zero crossing. More generally, the i+Δ element of the second subset is chosen as the zero crossing used to determine t1 for the subsequent fill level measurement.
In step 2213 the fill level is computed based on Δt, where Δt=t1−t0 as described above in reference to
In general, the peak of the cross-correlation measurement is used to compute the shift Δ between the reference subset and the second subset. Advantageously, this method provides for an accurate way to track the zero crossing from which t1 is derived from measurement to measurement, even if the fill level in the vessel changes abruptly in between measurements. In addition, reformatting the waveform data into a subset of data as described above results in a compression of the data of a factor of anywhere from 10-30. Advantageously, the data compression that results from reformatting the data before cross-correlation results in both low memory requirements and lower processing power requirements of both the acoustic impulse generator and receiver hardware and, thus, low cost and low power consumption for these devices.
While the example method described above uses a cross-correlation technique to accurately determine the reference point, e.g., zero crossing, chosen in a second acoustic impulse to determine the arrival time (t1) of the second acoustic impulse, the same technique may be used to accurately locate the reference point, e.g., zero crossing, chosen in a first acoustic impulse to determine the arrival time (t0) of the first acoustic impulse. This alternative method may be used both for first acoustic impulses that are measured at the acoustic impulse generator and for acoustic impulses comprising preflexural waves that are measured at the acoustic impulse detector. It should be noted that in each case, the cross-correlation measurement is between a reference first acoustic impulse and a subsequently measured first acoustic impulse or, as described above, a reference second acoustic impulse and a subsequently measured second acoustic impulse. Accordingly, the cross correlation measurement allows for accurate and consistent picking of reference points used for either or both of t1 or t0. The impulse travel time is then determined from Δt=t1−t0, as described above.
One of ordinary skill will also appreciate that a different method may be deployed that relies on a cross-correlation measurement of the first acoustic impulse and the second acoustic impulse to determine the propagation time in the vessel wall. In such a method, the time shift determined from the cross-correlation measurement is Δt. In accordance with one or more embodiments, the time shift Δt may be determined from first locating the time at which the peak values of the first acoustic impulse and the second acoustic impulse are acquired. Then, the propagation time is determined by subtracting these two times. Both of the alternative embodiments of determining Δt may be used with the level sensor of the present invention, but are most effective in low acoustic noise environments.
In accordance with one or more embodiments, the system may employ only a single receiver, located at an end of the tank opposite to the generator. In this system to may be set as the time the servo or solenoid in the in the generator is triggered. In accordance with one or more embodiments, the use of the wavefront arrival dispersion method with cross-correlation allows for an accurate level detection using only a single receiver. In this example, the timing of the generator does not need to be known other than for use in a dead-reckoning timing scheme to sync the gating and cross-correlation window of the receiver. In this example, the fluid level is entirely determined by the dispersion of the impulse measured at the receiver and the timing between the generator and the receiver is not used to compute the fill level. Likewise, only a single receiver is necessary of using the preflexural wave as the to reference. Advantageously all of these single receiver embodiments, reduce the complexity and cost of circuitry, parts and makes for a very simple and robust system.
More specifically, the acoustic impulse generator 2501 includes a striking mechanism 2507 that is mounted to a rotary 2511. In accordance with one or more embodiments, the entirety of the striking mechanism 2507 is mounted within the enclosure of the acoustic impulse generating module. The striking mechanism is formed from an elongated member 2509 that is attached at one end 2509a to a rotor 2511 of a rotary actuator (not shown) in the acoustic impulse receiver 2505. Accordingly, a second end 2509b of the elongated member 2509 is free to move in response to the rotation of the rotor 2511. In accordance with one or more embodiments, the rotor 2511 rotates about axis 2505a. Fixed at end 2509b of elongated member 2509 is a striker 2513 that is configured to strike an inner surface 2515 of the enclosure of the acoustic impulse generator. In accordance with one or more embodiments, the enclosure is identical to the enclosure described above in reference to
In accordance with one or more embodiments, other forms of acoustic impulse generation may be used. For example, a small solenoid actuator may be used, in which the solenoid throw rod assembly may be placed such that it strikes the inside wall of the enclosure that is placed against the wall of the vessel when the solenoid device is actuated. Other devices include but are not limited to linear actuators, eccentric motors, haptic actuators, electromagnetic actuators, bimetallic strips, shape memory wire, such as NITINOL and FLEXINOL, piezoelectrics, speakers or exciters, shape memory allow actuators, and Miga nanomuscle motors.
In accordance with one or more embodiments, acoustic impulse generator is equipped with several sensors 323a, 323b, . . . , 323c as described above in reference to
As described and shown above, an acoustic wave may be created by banging a servo arm or solenoid throwbar directly at the tank in a direction normal to the tank wall. However, alternate methods of acoustic wave generation may be employed without departing from the scope of the present disclosure. For example, the side of the module that is perpendicular to the tank surface may be hit so that most of the energy will be transferred by shear to concentrate on the axial direction of the tank. In this manner, the compressional energy will be maximized with a corresponding reduction of flexural energy.
In accordance with one or more embodiments, the acoustic impulse receiver 2505 and the acoustic impulse generator 2501 are configured to communicate with each other wirelessly by way of transceivers 327. Furthermore, the acoustic impulse receiver 2505 and the acoustic impulse generator 2501 may communicate with a wireless gateway module or a wireless repeater module as described above in reference to
In step 2605, a command is sent from the microcontroller to the rotary actuator (e.g., a digitally controlled servo motor) to initiate the upswing of the striking mechanism. In step 2607, the system waits a predetermined period of time for the striking mechanism to reach full arc. In step 2609b and 2609a, a microsecond timer in the CPU module is started and a beacon signal is sent to the acoustic impulse receiver to initiate the receiver acquisition sequence.
In step 2611, a command is sent from the microcontroller to the rotary actuator to initiate the downswing of the striking mechanism. In step 2615, the microprocessor sends a signal to the microphone circuit to turn on the microphone circuit (e.g., the circuit may include buffers, amplifiers, receivers, or the like, as is known in the art). In step 2617, the acoustic impulse is recorded by the microphone of the acoustic impulse generator. In accordance with one or more embodiments, the microcontroller is configured to acquire at least one acoustic impulse data point by sampling the signal from the microphone at a set time interval.
In step 2619, each time a sample is acquired, the background noise offset is subtracted to obtain a corrected data sample. In step 2621, the corrected data sample is stored using a line or ring buffer acquisition loop. In step 2623, the most recently stored sample is compared to a predetermined threshold value to determine whether or not to stop the acquisition. This threshold value is pre-programed to ensure that a significant fraction of the acoustic impulse is acquired (i.e. to ensure that the data acquired is actually representative of the microphone acquisition after the striker hits the enclosure wall). In step 2625, the microsecond timer is stopped and in step 2627 the elapsed time is stored in memory. In step 2629, the microcontroller sends a command to turn off the rotary actuator and the microphone circuit.
In step 2631, a subset of the acquired data is optionally computed by reformatting the data in the form of amplitude and reference point, e.g., zero crossing, data, as described above in
In step 2707, the microcontroller of the acoustic impulse receiver turns on its microphone circuit. In step 2709, the microcontroller acquires a set of M samples of the signal output from the microphone circuit. In step 2701, at test is applied to the acquired samples to test if an acoustic impulse was actually acquired in step 2709. For example, the data may be tested to see if the amplitude of any of the acquired samples falls above a predetermined threshold value. If, in step 2711, it is determined that a suitable acoustic impulse has not been acquired, e.g., the acoustic impulse is not discernible from the noise level, the system returns to step 2703 and waits for another beacon from the generator to start another acquisition. The generator sends an ‘All ok” or else a ‘get ready for another sample’ command when it assesses the data quality. In accordance with one or more embodiments, the acoustic impulse receiver may be preprogramed to retry data acquisition a set number of times, e.g., three times before returning to a low power sleep mode.
If an acoustic impulse is detected in step 2711, the microphone circuit is turned off in step 2713. In step 2715, the acquired data is processed. For example, the data may be parsed into a series of samples that include amplitude values and crossing data values as described above in reference to
In the above description, some amount of pre-processing of the acquired data is accomplished by both the acoustic impulse generator and the acoustic impulse receiver. However, in other embodiments the raw data may be collected and transmitted to the gateway without any preprocessing. Likewise, additional processing, other than that described above may be accomplished in accordance with one or more embodiments. For example, the full fluid level computation may be done by the generator and/or receiver before the data is transmitted to the gateway. Alternatively, the raw acoustic data, or interpolated zero crossing subset may be transmitted to the gateway for further processing at the gateway or at the remote server. One of ordinary skill will appreciate that many different ways of manipulating the data before or after transmission may be employed without departing from the scope of the present disclosure.
A vessel 1 includes the fluid of interest (for instance, oil, water, or other liquid) that is filled to a certain fluid level 2 inside the vessel. The vessel can be of any size and can be either fully enclosed or open or accessible at the top. A sensor module 3 is placed inside the vessel, ideally installed by simply dropping it into the vessel via a hatch or opening 4. One of ordinary skill will appreciate that typical storage vessels employ various types of hatches or openings. Thus, the particular shape of the opening 4 depicted in
Furthermore, in accordance with one or more embodiments, the sensor module 3 is sealed and environmentally protected from the fluid in the vessel 1. The sensor module 3 includes one or more sensors 7a and 7b. In accordance with one or more embodiments, the sensor module 3 may employ a microelectromechanical (MEMS) pressure sensor. MEMS sensors include various beneficial characteristics for wireless tank level monitoring, including their extremely small size, environmentally ruggedness, low power requirements (typically 5V at 6 mA, or 30 mW), and high resolution (on the order of 10 mV per inch of water).
In accordance with one or more embodiments, the sensor module 3 wirelessly communicates with a collection module 5 that is located on the outside of the vessel. The collection module 5 may include similar processing and transmission electronics as the sensor module itself and also may additionally employ a cellular modem (e.g., a Telit CC864-Dual, or the like) for incorporating the collection module and thereby the wireless sensor module into a cellular network. Advantageously, no external wiring is necessary to install the system and the sensor data may be made available to a remote server. Advantageously, this wireless aspect makes the system portable in addition to being simple and easy to maintain.
The collection module 5 may be a wireless transceiver configured to communicate with the sensor module 3. One of ordinary skill will appreciate that many protocols for wireless communication are presently known in the art and that the sensor module 3 and collection module 5 may employ any known method without departing from the scope of the present invention. In accordance with one or more embodiments, the sensor module 3 and collection module 5 may include any commercially available wireless transceiver chipsets. One of ordinary skill will appreciate that in accordance with one or more embodiments of the invention, any transceiver, receiver, and/or transmitter chipsets may be used without departing from the scope of the present invention. In accordance with one or more embodiments, the collection module is a wireless gateway as described above in reference to
In accordance with one or more embodiments, rather than deploying wireless communication, the cord 18 may allow for wired communication between the sensor module 3 and a receiver (not shown). Such an arrangement allows for convenient deployment and retrieval of the sensor module in addition to simpler internal circuitry of the sensor module itself due to the fact that wireless transceivers and their associated control circuitry are not necessary. Returning to
In accordance with one or more embodiments, the data is transmitted by wireless transceiver 12 wirelessly from the interior of the tank to the external collection module (not shown), e.g. through the use of RF signals 17. Field tests performed by the inventor indicate that mid-range RF signals will be able to travel outside typical steel field tanks via the small gap between the hatch cover and the top wall of the tank. The two elements are normally separated by about ½ to 1 inch by a low pressure sealing gasket, thorough which a small amount of RF signal may escape (much like the ability to get cellphone coverage inside most elevators due to the slight gaps in the exit doors). In accordance with one or more embodiments, the electronics located within the module 7 may be powered by power source 14, which may include a battery, or the like. As used herein, the term transceiver in meant broadly to encompass units known in the art to have wireless transmission capabilities only, wireless reception capabilities only, or both transmission and reception capabilities within a single unit.
In accordance with one or more embodiments, the sensor module 7 functions by taking periodic pressure measurements of the surrounding fluid. A preferred sensor type is a small MEMS device. Recent advancements in sensor technology driven by automobile real-time tire pressure measurement and medical products have driven cost and power requirements of these devices to extremely low levels. A key enabling factor has been the associated lowering of the operating pressure range of these sensors. Common and inexpensive sensors now operate in the range of 0-20 psi, providing an excellent fit for fluid pressure measurement in most vessel heights which normally do not exceed heights of ten to twenty feet.
One of ordinary skill will appreciate that the fluid height can be estimated based on the sensor module's pressure reading and knowledge of the specific gravity of the fluid in the vessel. For example, in accordance with one or more embodiments, for tanks with fluids having a density that does not vary in time, calibration may be performed in an initial two-point calibration. Subsequent measurements may then be calibrated based on a linear formula relating pressure to height using the initial two-point calibration.
According to other embodiments, a more robust solution can include onboard capability to determine the fluid density. Methods of determining the fluid density include, for example, salinity based measurements. For example, in the case of water, an accurate estimate of water density can be made if the resistivity and temperature of the water are known. Thus, a sensor module including two or more electrical pads (not shown) in contact with the fluid can be used to measure the electrical resistance of the fluid in order to calculate the salinity-to-density transform. One of ordinary skill will appreciate that the conversion between salinity and density may be employed using any known method in the art without departing from the scope of the present disclosure.
In accordance with one or more embodiments, the system may be configured to undertake a differential pressure measurement. In a differential measurement method, two or more pressure sensors, or a sensitive differential pressure sensor, may be installed in a vertical array on the tank sensor module. A pressure gradient between the sensors may then be determined and used in a calculation to derive fluid height.
One of ordinary skill will appreciate that many other methods may be employed to measure fluid level in addition to the two types of methods disclosed herein. Furthermore, one of ordinary skill will appreciate that the sensors used in the sensor module disclosed herein may be of any type known in the art to measure fluid characteristics that may be used to determine a fluid level.
In accordance with one or more embodiments, several methods of wireless communication are possible. One example of a wireless communication method employs acoustic transmission, wherein sensor readings are encoded in an acoustic impulse signal. The acoustic impulse signal is transmitted by the sensor module and received by the collection module. However, because the information transfer rate in acoustic methods is normally extremely low (on the order of 1 to 5 bytes per transmission). In accordance with one or more embodiments, low frequency RF (VLF) can also be used; higher frequency RF may also be used if the transmission distance is small.
In accordance with one or more embodiments, the communication is normally one-way from sensor module to collection module. In other embodiments, the system may be configured to employ bi-directional communication.
In accordance with one or more embodiments, the sensor module is normally ‘sleeping’ in very low power draw mode. For many applications, level measurements are often needed only hourly or perhaps daily. Thus, the sensor module can be operated on a small battery for a long period of time, thereby minimizing the frequency of sensor module replacement.
In accordance with one or more embodiments, the sensor module is constructed from common electronics parts and can be manufactured cheaply—at a fraction of the cost of systems that are common today. Advantageously, one or more embodiments of the invention employ a sensor module that can be easily replaced by simply lowering (or dropping) a replacement into the vessel. This greatly reduces the maintenance time, cost, and skill required to use this system. Furthermore, the sensor module is designed to maintain function in harsh environmental conditions, such as wide temperature variations and corrosive fluid environments.
In one or more embodiments, the estimated fluid levels are based on data derived from pressure measurements taken by a standalone wireless sensor module located at or near the bottom of the vessel. The fluid level is calculated based on the measured fluid pressure at the bottom and density of the fluid. Additionally, to compute accurate fluid level data, the fluid pressure readings must be compensated for atmospheric pressure. There is a considerable error if compensating for atmospheric pressure is not done. Typically, the fluid level data may be off by several inches without compensating for atmospheric pressure, and for most oilfield situations, said variances in the fluid level data is intolerable since operators commonly require at least ¼″ accuracy.
In some conventional methods, compensating for atmospheric pressure is achieved by a bleed tube embedded in a cable leading down to the sensor at the bottom of the tank. The bleed tube allows air pressure to equalize across the pressure diaphragm element. As shown in
One skilled in the art will appreciate how the second pressure sensor (i.e., surface pressure sensor) reading can be subtracted from the first pressure sensor 4008 (i.e., bottom tank pressure sensor) reading via software, and the net pressure can be used to calculate the tank level. It is further envisioned that with optimized components and software, the standalone wireless sensor module 4006 may produce accurate high resolution tank level measurements. In addition, the standalone wireless sensor module 4006 allows the cable 4010 to be a very small diameter electronics cable enabling the first pressure sensor 4008 to be installed simply by dropping it into a tank opening 4013 and closing a hatch cover 4014 over the tank opening 4013 and the cable 4010. The standalone wireless sensor module 4006 is further advantageous in oilfield tanks because safety regulations require loose fitting spring-loaded hatches with wide and soft sealing gaskets, thus ensuring that the cable 4010 will not become damaged or sheared. This allows simple installation and replacement of the standalone wireless sensor module 4006. In some embodiments, the cable 4010 may be a flexible, small diameter outer jacket with a braided Kevlar® inner layer to provide high shear and tensile strength.
By providing a detailed vector of elapsed time vs. rod position for multiple points in each pumping cycle, the wireless sensor module 3201 can observe and log changes within a particular pumping cycle in addition to the total cycle time change data.
In accordance with one or more embodiments, a collection of pump signatures, i.e., relative rod position (or sensor angle as measured by the orientation of the sensor) versus time are obtained from the wireless sensor module. In accordance with one or more embodiments, the zero-crossing points on the upstroke portion of each pumping cycle are first determined. Advantageously there are normally no changes in the up-stroke portion of the cycle and zero crossings can be accurately determined by linear interpolation due to the fact the near sine wave behavior of the system approaches a linear function near the zero crossing. For noisy conditions data from several cycles can be averaged to provide a statistically improved analysis. In addition, as the pump off condition begins to occur, the cycle time of the pump also changes and this change in cycle time is logged by a change in the period of the data obtained by the sensor. In accordance with one or more embodiments, to compensate for this effect in the acquired data, the time axis may be rescaled by the measured pump period for each period that is analyzed. Thus, the shape of datasets having differing cycle times may be consistently compared.
For example,
A lever 3603 is pivotally mounted to the side wall 3605 of housing 3607 at first end 3609, and in a plane generally parallel to that of the torque bar 3611. A suitable connector is provided for interconnecting the torque bar 3611 and the lever 3603 for transmitting forces exerted on torque shaft 3613 to the lever 3603. In the embodiment illustrated in
A biasing element 3639 is located within the main housing interior and contacts the torque bar 3611 to thereby balance force exerted on the torque bar 3611 by the liquid displacement member 3637 acting on the torque shaft 3613. In the embodiment of
Attached to the torque bar 3611 is a wireless sensor module 3641. In accordance with one or more embodiments of the invention, the wireless sensor module is constructed and designed in a manned that is identical to that described above in reference to
Embodiments of the methods disclosed herein may be implemented on virtually any type of computer regardless of the platform being used. For example, as shown in
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this disclosure, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as disclosed herein. Accordingly, the scope of the invention should be limited only by the attached claims.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17229279 | Apr 2021 | US |
| Child | 18188148 | US | |
| Parent | 15842513 | Dec 2017 | US |
| Child | 17229279 | US |
