Embodiments relate generally to gas detection, and more particularly to methane gas detection.
Methane (CH4) is an odorless and colorless naturally occurring organic molecule, which is present in the atmosphere at average ambient levels of approximately 1.85 ppm as of 2018 and is projected to continually climb. Methane is a powerful greenhouse gas, a source of energy (i.e., methane is flammable), and an explosion hazard, and so detection of methane is of utility to scientists as well as engineers. While methane is found globally in the atmosphere, a significant amount is collected or “produced” through anthropogenic processes including exploration, extraction, and distribution of petroleum resources as a component in natural gas. Natural gas, an odorless and colorless gas, is a primary fuel used to produce electricity and heat. The main component of natural gas is typically methane, and the concentration of methane in a stream of natural gas can range from about 70% to 90%. The balance of the gas mixture in natural gas consists of longer chain hydrocarbons, including ethane, propane, and butane, typically found in diminishing mole fractions that depend on the geology of the earth from which the gas is extracted. Once extracted from the ground, natural gas is processed into a product that must comply with specifications for both transport, taxation, and end-use in burners; specification of processed ‘downstream’ natural gas product control for the composition of the gas, so as to protect transport lines from corrosion and ensure proper operation of burners and turbines. While extraction of natural gas is one of the main sources of methane in the atmosphere, major contributors of methane also include livestock farming (i.e., enteric fermentation) and solid waste and wastewater treatment (i.e., anaerobic digestion). Anaerobic digestion and enteric fermentation gas products consist primarily of methane and lack additional hydrocarbon species.
A system embodiment may include: a handheld sensing device comprising: a sensor configured to measure ambient gas concentrations of at least one of the following gasses: methane, ethane, propane, butane, and/or natural gas; and a handle, where the sensor may be disposed on a first end of the handle; an control electronics comprising: a processor having addressable memory, the processor in communication with the sensor, where the processor may be configured to: receive the measured ambient gas concentrations; and detect elevated ambient gas concentrations based on the measured ambient gas concentrations.
In additional system embodiments, the control electronics may be housed in an attachment device. In additional system embodiments, the control electronics may be housed inside the handle. In additional system embodiments, the sensor and control electronics may be housed in a single enclosure. In additional system embodiments, the sensor may measure a methane gas concentration. In additional system embodiments, the sensor measures at least one of the following gases: methane, ethane, propane, butane, and pentane. In additional system embodiments, the sensor measures at least two of the following gases: methane, ethane, propane, butane, and pentane. In additional system embodiments, the sensor measures a combination of gases that are representative of natural gas.
In additional system embodiments, the handheld sensing device further comprises: a grip disposed on a second end of the handle, where the first end of the handle may be distal from the second end of the handle. In additional system embodiments, the control electronics may be housed inside the grip. In additional system embodiments, the handheld sensing device further comprises: a first transceiver, where the processor may be in communication with the sensor via the first transceiver, and where the first transceiver may be configured to send measured ambient gas concentrations. In additional system embodiments, the attachment device further comprises: a second transceiver, where the processor may be in communication with the sensor via the first transceiver and the second transceiver, and where the second transceiver may be configured to receive measured ambient gas concentrations.
In additional system embodiments, the handheld sensing device may include: an single enclosure that contains both a sensor configured to measure gas concentration as well as the first transceiver. In this embodiment, the enclosure may be one of or a combination of the following devices to be used for fixing the sensor on a surface or body: holes to allow for a bolted joint connection to another surface; a magnet to fix the sensor to another surface; a surface on the enclosure itself which hook-and-loop/dual lock can be applied; a surface on the enclosure itself which an adhesive can be applied; a suction cup device; or a clip or other fastening device that can be used to clasp clothing worn by a person.
In additional system embodiments, the enclosure may be open to the ambient atmosphere, or it may be closed to the ambient atmosphere and a pump may be used to draw ambient gas sample into the chamber. In additional system embodiments, the system components may be located inside of the handle.
In additional system embodiments, the handheld sensing device may be connected to the attachment device via a wired connection. In additional system embodiments, the wired connection may be a shielded coiled cable. In additional system embodiments, the attachment device and/or control electronics may further comprise: a global positioning system (GPS). In additional system embodiments, the second transceiver may further comprise a GPS.
In additional system embodiments, the processor may be configured to: receive a location data from the GPS corresponding to the received measured ambient gas concentrations. In additional system embodiments, the processor may be configured to: receive a meteorological data corresponding to the received measured ambient gas concentrations. In additional system embodiments, the processor may be configured to: determine a location of a gas source based on the detected elevated ambient gas concentration, the received location data, and the received meteorological data.
Additional system embodiments may include: a connected device, where the connected device may be in communication with at least one of: the handheld sensing device, the attachment device, and the control electronics. In additional system embodiments, the connected device may acquire the location data from the GPS and relay it to at least one of: a first transceiver and a second transceiver. In additional system embodiments, the connected device may be configured to display a map showing the determined location of the gas source. In additional system embodiments, the connected device may include at least one of: a smartphone, a tablet, an augmented reality (AR) device, and a virtual reality (VR) device. In additional system embodiments, the connected device may be a cloud server having at least one database. In additional system embodiments, the attachment device further comprises: a power supply, where the power supply provides power to the handheld sensing device.
In additional system embodiments, a power supply may be located inside the grip, where the power supply may provide power to the handheld sensing device. In additional embodiments, a power supply may be located inside the handle, where the power supply may provide power to the handheld sensing device. In additional system embodiments, the sensor may be connected to a pump.
A method embodiment may include: measuring, by a sensor, ambient methane concentrations; receiving, by a processor having addressable memory, the measured ambient methane concentrations; and detecting, by the processor, elevated methane concentrations based on the measured ambient methane concentrations.
A method embodiment may include: measuring, by a sensor, ambient methane and ethane concentrations; receiving, by a processor having addressable memory, the measured ambient methane and ethane gas concentrations; and detecting, by the processor, elevated methane and ethane concentrations based on the measured ambient methane and ethane concentrations.
A method embodiment may include: measuring by a sensor, ambient gas concentrations; receiving, by a processor having addressable memory, the measured ambient gas concentrations; and detecting, by the processor, elevated gas concentrations based on the measured ambient gas concentrations
A method embodiment may include: measuring by a sensor, ambient hydrocarbon gas concentrations, including any of the following gases: methane, ethane, propane, butane, or pentane; receiving, by a processor having addressable memory, the measured ambient hydrocarbon gas concentrations; and detecting, by the processor, elevated hydrocarbon gas concentrations based on the measured ambient hydrocarbon gas concentrations.
Additional method embodiments may include: receiving, by the processor, a location data from a global positioning system (GPS) corresponding to the received measured ambient gas concentrations; and receiving, by the processor, a meteorological data corresponding to the received measured ambient gas concentrations. Additional method embodiments may include: determining, by the processor, a location of a gas source based on the detected elevated ambient gas concentration, the received location data, and the received meteorological data. Additional method embodiments may include: displaying, by a connected device in communication with the processor, a map showing the determined location of the gas source.
Another system embodiment may include: a handheld sensing device comprising: a sensor configured to measure ambient gas concentrations; a handle, where the sensor may be disposed on a first end of the handle; a grip disposed on a second end of the handle, where the first end of the handle may be distal from the second end of the handle; and a first transceiver; an attachment device comprising: a second transceiver; a global positioning system (GPS); and a processor having addressable memory, the processor in communication with the sensor, where the processor may be configured to: receive the measured ambient gas concentrations; receive a location data from the GPS corresponding to the received measured ambient gas concentrations; receive a meteorological data corresponding to the received measured ambient gas concentrations; detect elevated ambient gas concentrations based on the measured ambient gas concentrations; determine a location of a gas source based on the detected elevated ambient gas concentration, the received location data, and the received meteorological data; where the processor may be in communication with the sensor via the first transceiver and the second transceiver, where the first transceiver may be configured to send measured ambient gas concentrations, and where the second transceiver may be configured to receive measured ambient gas concentrations a connected device, where the connected device may be in communication with at least one of: the handheld sensing device and the attachment device, where the connected device comprises at least one of: a smartphone, a tablet, an augmented reality (AR) device, and a virtual reality (VR) device, and where the connected device may be configured to display a map showing the determined location of the gas source.
The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principals of the invention. Like reference numerals designate corresponding parts throughout the different views. Embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which:
The following description is made for the purpose of illustrating the general principles of the embodiments disclosed herein and is not meant to limit the concepts disclosed herein. Further, particular features described herein can be used in combination with other described features in each of the various possible combinations and permutations. Unless otherwise specifically defined herein, all terms are to be given their broadest possible interpretation including meanings implied from the description as well as meanings understood by those skilled in the art and/or as defined in dictionaries, treatises, etc.
The present system allows for a handheld sensor to collect methane concentration readings. The handheld sensor may include a sensor disposed on an end of a handle for detecting methane, or other gas, concentrations. The data from the sensor and location data may be combined to measure ambient gas concentrations of at least one of the following gasses: methane, ethane, propane, butane, and/or natural as a function of spatial coordinates, and to determine the location of an emission source of gas. This gas location may be displayed on a map and viewed on a connected device, such as a smartphone, tablet, augmented reality (AR), and/or virtual reality (VR) device. Because of the high fraction of methane in natural gas, a gas sensor capable of detecting methane can be used as a tool to identify and locate leaks of natural gas (using methane as a proxy), emanating from infrastructure associated with exploration, extraction, and distribution of natural gas. Furthermore, a trace gas sensor capable of measuring multiple hydrocarbon species typically found in natural gas can be used to determine whether a gas leak consists of natural gas (i.e., methane and ethane are detected simultaneously) or only methane, thereby attributing whether the source of the leak is natural gas infrastructure, or anaerobic digestion or enteric fermentation.
The goal of the natural gas production and supply chain is to extract gas from source production areas and deliver it to endpoint users without undue loss. Product loss amounts to the venting of natural gas to the atmosphere. Undue product loss results in uncaptured revenue, increased environmental footprint, and possible safety hazards for vented emissions. There are many opportunities throughout the natural gas production and supply chain for gas to be released from containment and lost, e.g., pneumatic component venting, maintenance blowdowns, component failures, accidental release, etc. Because natural gas production and distribution infrastructure are spatially distributed, efficient survey methods are needed to identify, localize, and quantify natural gas releases throughout the system.
The sensor optical cell 102 may be an ultra-lightweight, low power, Part per Billion (ppb) sensitivity, mid-Infrared (wavelength λ=3−8 μm), open or closed path gas concentration sensor. The sampling rate of the cell 102 may be >0.1 Hz. The weight of the gas sensor optical cell 102 may be less than 500 g in some embodiments. In some embodiments, the optical cell 102 may be tuned for methane, ethane, propane, butane, pentane, carbon dioxide, carbon monoxide, hydrogen sulfide, ammonia, sulfur oxides, and/or nitrogen oxides.
The system 100 may also include a microcontroller and power supply 104. In some embodiments, the power supply may be a device, which may be integrated into a handle or mounted remotely from the sensor 102 and connected by cables to the sensor 102. The microcontroller may be a microcomputer that contains sensor firmware and low-level data processing functions, which may be mounted remotely from the sensor 102 and connected wirelessly or by cables to the sensor 102. In some embodiments, the power supply and/or microcontroller 104 may be connected to a utility belt, backpack, or other attachment, which may be worn by the user, or the power supply and/or microcontroller may be housed within the handle or enclosure. In some embodiments, the microcontroller 104 may be in communication with addressable memory to store data received from the sensor 102.
The system may include a GPS 106, which determines the location of the sensor 102 to combine the sensor readings with the geographic location for further processing. In some embodiments, a location sensor may be in place of, or in combination with, the GPS 106 to determine a geographic location of each sensor 102 reading. GPS information may also be collected from a connected device, such as a smartphone, tablet, wearable, and/or smartwatch; this GPS data may be fused with measurements made and processed by the sensor 102 and microcontroller 104. The data and/or readings from the sensor 102 and location from the GPS 106 may be processed by the microcontroller 104 and sent to a data visualization display 108 and/or a cloud server/processor 110 having at least one database 112. The data visualization display 108 may include a smartphone, a tablet, a portable computer, an augmented reality (AR) device, a smartwatch, and/or a virtual reality (VR) device. The AR/VR device may include goggles, a headset, wearables, or the like.
The sensor 102 may be disposed on an end of the handle 116 distal from a grip 118. The sensor 102 may be disposed proximate a first end of the handle 116. The grip 118 may be disposed proximate a second end of the handle 116, where the first end of the handle is distal from the second end of the handle 116. The handle 116 may have a length in the range of 3 to 90 inches in some embodiments. In some embodiments, the handle 116 may be curved. In some embodiments, the handle 116 may be extendible, and the extension may employ telescoping action. In some embodiments, at least a portion of the carry handle extension may be flexible to allow access in confined areas. In some embodiments, the handle 116 may include a weight or counterweight so as to provide a weight balance to the system 100, such as when being held by a user or operator of the system 100.
In some embodiments, the attachment device 124 may be attached to a belt, hip pack, backpack, or the like. The attachment device 124 may be worn by a user and connected to the handheld sensing device 114 via a wired connection 122 and/or wireless connection 140 for the unidirectional and/or bidirectional transfer of data. The attachment device 124 may include a power supply 126, a processor 128 with addressable memory, a transceiver 130 or another communication device, and a GPS 106 or another location device in some embodiments.
The processor 128 may perform processing on data from the sensor 102 and/or GPS 106. The disclosed handheld gas sensing device 114 is carried by a person, e.g., oil & gas equipment technician, field engineer, leak investigator, etc., during Leak Detection and Repair (LDAR) operations. The handheld sensing device 114 measures gas concentration within a gas sensor 102 to detect elevated ambient gas concentration associated with controlled or fugitive gas releases.
A connected device 132 may include a smartphone 134, tablet 136, portable computer, augmented reality (AR) or virtual reality (VR) device 138, and/or a cloud server 110. The data collected by the sensor 102 may be reconciled with measurements from a GPS 106 by the processor 128 and/or cloud server 110 to display information about methane concentration on a map via the connected device 132. The system 100 may display the source concentration data on a map, satellite image, aerial image, two-dimensional color map, two-dimensional contour map, and/or three-dimensional topographical surface/mesh. As the total methane concentration is inversely proportional to the distance from a source, this collected and processed data may be used to identify and locate gas sources within an inspection area. Search route guidance may direct the system operator toward the location of a gas leak, which may be automatically determined based on spatial concentration variability, atmospheric conditions, and weather data and/or meteorological data. The meteorological data may include current weather conditions and/or predicted future weather conditions. In some embodiments, search route guidance may be displayed visually to the system operator in real-time on a screen of the connected device 132 via the map or via AR/VR goggles 138.
The handheld sensing device 114, attachment device 124, and/or connected device 132 may communicate via wired 122 and/or wireless 140, 142, 144 connections.
Bidirectional data transfer 140, 142, 144 may occur between the handheld sensing device 114, the attachment device 124, and/or the connected device 132.
The single enclosure 119 may be fixed and/or detachably attached to a surface 176 and/or a person 178 by an enclosure connector 166. The enclosure connector 166 may include one or more mounting holes 168 that may be used to form a screwed or bolted joint connection. The enclosure connector 166 may also include a magnet 170, an attachment surface 172 for attaching hook and loop fasteners, dual lock, adhesive, or the like. In some embodiments, the single enclosure 119 may be detachably attached to a person 178 and/or surface 176, such as via a clip 174.
The single enclosure 125 may be in communication 144 with the connected device 132. The connected device 132 may include a smartphone 134, tablet 136, portable computer, augmented reality (AR) or virtual reality (VR) device 138, and/or a cloud server 110. The data collected by the sensor 102 may be reconciled with measurements from a GPS 106 to display information about gas concentration and/or gas source location on a map via the connected device 132. The system 100 may display the source concentration data on a map, satellite image, aerial image, two-dimensional color map, two-dimensional contour map, and/or three-dimensional topographical surface/mesh. As the total gas concentration is inversely proportional to the distance from a source, this collected and processed data may be used to identify and locate gas sources within an inspection area. Search route guidance may direct the system operator toward the location of a gas leak, which may be automatically determined based on spatial concentration variability, atmospheric conditions and weather data and/or meteorological data. The meteorological data may include current weather conditions and/or predicted future weather conditions. In some embodiments search route guidance may be displayed visually to the system operator in real-time on a screen of the connected device 132 via the map or via AR/VR goggles 138. In some embodiments, the connected device 132 may provide spatial and/or GPS location, such as via a GPS of the smartphone 134 that can be combined with the gas data from the sensor 102.
The method 146 may then include receiving, by a processor, the measured ambient gas concentrations, the location data, and the meteorological data (step 154). The processor may have addressable memory and be located in an attachment device, as shown in
The method 146 may then include determining, by the processor, a location of a gas source based on the detected elevated ambient gas concentration, the received location data, and the received meteorological data (step 158). The processor may aggregate the location data, elevated gas readings, and meteorological data to determine a likely source location of the gas, such as a location of a gas leak in a gas equipment. The location of the gas may be a natural gas source. The method 146 may then include displaying, by a connected device in communication with the processor, a map showing the determined location of the gas source (step 160). The connected device may be a smartphone, laptop, tablet, augmented reality (AR) device, virtual reality (VR) device, and/or a cloud server having a database. In some embodiments, an operator may use AR or VR to view the location of the gas source. For example, by using AR goggles, the operator may identify the gas source as originating from a leak in gas equipment, such as natural gas equipment. The operator may then use the location of the gas leak to take corrective action such as to minimize or eliminate the source of the leak.
Information transferred via communications interface 814 may be in the form of signals such as electronic, electromagnetic, optical, or other signals capable of being received by communications interface 814, via a communication link 816 that carries signals and may be implemented using wire or cable, fiber optics, a phone line, a cellular/mobile phone link, a radio frequency (RF) link, and/or other communication channels. Computer program instructions representing the block diagram and/or flowcharts herein may be loaded onto a computer, programmable data processing apparatus, or processing devices to cause a series of operations performed thereon to produce a computer implemented process.
Embodiments have been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments. Each block of such illustrations/diagrams, or combinations thereof, can be implemented by computer program instructions. The computer program instructions when provided to a processor produce a machine, such that the instructions, which execute via the processor, create means for implementing the functions/operations specified in the flowchart and/or block diagram. Each block in the flowchart/block diagrams may represent a hardware and/or software module or logic, implementing embodiments. In alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures, concurrently, etc.
Computer programs (i.e., computer control logic) are stored in main memory and/or secondary memory. Computer programs may also be received via a communications interface 812. Such computer programs, when executed, enable the computer system to perform the features of the embodiments as discussed herein. In particular, the computer programs, when executed, enable the processor and/or multi-core processor to perform the features of the computer system. Such computer programs represent controllers of the computer system.
The server 930 may be coupled via the bus 902 to a display 912 for displaying information to a computer user. An input device 914, including alphanumeric and other keys, is coupled to the bus 902 for communicating information and command selections to the processor 904. Another type or user input device comprises cursor control 916, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to the processor 904 and for controlling cursor movement on the display 912.
According to one embodiment, the functions are performed by the processor 904 executing one or more sequences of one or more instructions contained in the main memory 906. Such instructions may be read into the main memory 906 from another computer-readable medium, such as the storage device 910. Execution of the sequences of instructions contained in the main memory 906 causes the processor 904 to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the sequences of instructions contained in the main memory 906. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the embodiments. Thus, embodiments are not limited to any specific combination of hardware circuitry and software.
The terms “computer program medium,” “computer usable medium,” “computer readable medium”, and “computer program product,” are used to generally refer to media such as main memory, secondary memory, removable storage drive, a hard disk installed in hard disk drive, and signals. These computer program products are means for providing software to the computer system. The computer readable medium allows the computer system to read data, instructions, messages or message packets, and other computer readable information from the computer readable medium. The computer readable medium, for example, may include non-volatile memory, such as a floppy disk, ROM, flash memory, disk drive memory, a CD-ROM, and other permanent storage. It is useful, for example, for transporting information, such as data and computer instructions, between computer systems. Furthermore, the computer readable medium may comprise computer readable information in a transitory state medium such as a network link and/or a network interface, including a wired network or a wireless network that allow a computer to read such computer readable information. Computer programs (also called computer control logic) are stored in main memory and/or secondary memory. Computer programs may also be received via a communications interface. Such computer programs, when executed, enable the computer system to perform the features of the embodiments as discussed herein. In particular, the computer programs, when executed, enable the processor multi-core processor to perform the features of the computer system. Accordingly, such computer programs represent controllers of the computer system.
Generally, the term “computer-readable medium” as used herein refers to any medium that participated in providing instructions to the processor 904 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media includes, for example, optical or magnetic disks, such as the storage device 910. Volatile media includes dynamic memory, such as the main memory 906. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise the bus 902. Transmission media can also take the form of acoustic or light waves, such as those generated during radio wave and infrared data communications.
Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, a CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a
RAM, a PROM, an EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.
Various forms of computer readable media may be involved in carrying one or more sequences of one or more instructions to the processor 904 for execution. For example, the instructions may initially be carried on a magnetic disk of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to the server 930 can receive the data on the telephone line and use an infrared transmitter to convert the data to an infrared signal. An infrared detector coupled to the bus 902 can receive the data carried in the infrared signal and place the data on the bus 902. The bus 902 carries the data to the main memory 906, from which the processor 904 retrieves and executes the instructions. The instructions received from the main memory 906 may optionally be stored on the storage device 910 either before or after execution by the processor 904.
The server 930 also includes a communication interface 918 coupled to the bus 902. The communication interface 918 provides a two-way data communication coupling to a network link 920 that is connected to the world wide packet data communication network now commonly referred to as the Internet 928. The Internet 928 uses electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on the network link 920 and through the communication interface 918, which carry the digital data to and from the server 930, are exemplary forms or carrier waves transporting the information.
In another embodiment of the server 930, interface 918 is connected to a network 922 via a communication link 920. For example, the communication interface 918 may be an integrated services digital network (ISDN) card or a modem to provide a data communication connection to a corresponding type of telephone line, which can comprise part of the network link 920. As another example, the communication interface 918 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, the communication interface 918 sends and receives electrical electromagnetic or optical signals that carry digital data streams representing various types of information.
The network link 920 typically provides data communication through one or more networks to other data devices. For example, the network link 920 may provide a connection through the local network 922 to a host computer 924 or to data equipment operated by an Internet Service Provider (ISP). The ISP in turn provides data communication services through the Internet 928. The local network 922 and the Internet 928 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on the network link 920 and through the communication interface 918, which carry the digital data to and from the server 930, are exemplary forms or carrier waves transporting the information.
The server 930 can send/receive messages and data, including e-mail, program code, through the network, the network link 920 and the communication interface 918. Further, the communication interface 918 can comprise a USB/Tuner and the network link 920 may be an antenna or cable for connecting the server 930 to a cable provider, satellite provider or other terrestrial transmission system for receiving messages, data and program code from another source.
The example versions of the embodiments described herein may be implemented as logical operations in a distributed processing system such as the system 900 including the servers 930. The logical operations of the embodiments may be implemented as a sequence of steps executing in the server 930, and as interconnected machine modules within the system 900. The implementation is a matter of choice and can depend on performance of the system 900 implementing the embodiments. As such, the logical operations constituting said example versions of the embodiments are referred to for e.g., as operations, steps or modules.
Similar to a server 930 described above, a client device 901 can include a processor, memory, storage device, display, input device and communication interface (e.g., e-mail interface) for connecting the client device to the Internet 928, the ISP, or LAN 922, for communication with the servers 930.
The system 900 can further include computers (e.g., personal computers, computing nodes) 905 operating in the same manner as client devices 901, wherein a user can utilize one or more computers 905 to manage data in the server 930.
Referring now to
It is contemplated that various combinations and/or sub-combinations of the specific features and aspects of the above embodiments may be made and still fall within the scope of the invention. Accordingly, it should be understood that various features and aspects of the disclosed embodiments may be combined with or substituted for one another in order to form varying modes of the disclosed invention. Further, it is intended that the scope of the present invention herein disclosed by way of examples should not be limited by the particular disclosed embodiments described above.
This application is a 35 U.S.C § 371 National State Entry of International Application No. PCT/US2019/044119, filed Jul. 30, 2019, which claims the priority benefit of U.S. Provisional Patent Application Ser. No. 62/712,096, filed Jul. 30, 2018, all of which are incorporated herein by reference in their entirety for all purposes.
Filing Document | Filing Date | Country | Kind |
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PCT/US2019/044119 | 7/30/2019 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2020/028353 | 2/6/2020 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
3780566 | Smith et al. | Dec 1973 | A |
4135092 | Milly | Jan 1979 | A |
4233564 | Kerbel | Nov 1980 | A |
4507558 | Bonne | Mar 1985 | A |
4988833 | Lai | Jan 1991 | A |
5047639 | Wong | Sep 1991 | A |
5075619 | Said | Dec 1991 | A |
5173749 | Tell et al. | Dec 1992 | A |
5291265 | Kebabian | Mar 1994 | A |
5317156 | Cooper et al. | May 1994 | A |
5822058 | Adler-Golden et al. | Oct 1998 | A |
6064488 | Brand et al. | May 2000 | A |
6295859 | Hayden et al. | Oct 2001 | B1 |
6509566 | Wamsley et al. | Jan 2003 | B1 |
6549630 | Bobisuthi | Apr 2003 | B1 |
7800751 | Silver et al. | Sep 2010 | B1 |
7833480 | Blazewicz et al. | Nov 2010 | B2 |
8060270 | Vian et al. | Nov 2011 | B2 |
8294899 | Wong | Oct 2012 | B2 |
8451120 | Johnson, Jr. | May 2013 | B2 |
8730461 | Andreussi | May 2014 | B2 |
9183371 | Narendra et al. | Nov 2015 | B2 |
9183731 | Bokhary | Nov 2015 | B1 |
9235974 | Johnson, Jr. et al. | Jan 2016 | B2 |
9250175 | McManus | Feb 2016 | B1 |
9494511 | Wilkins | Nov 2016 | B2 |
9599529 | Steele et al. | Mar 2017 | B1 |
9599597 | Steele et al. | Mar 2017 | B1 |
10023311 | Lai et al. | Jul 2018 | B2 |
10023323 | Roberts et al. | Jul 2018 | B1 |
10031040 | Smith et al. | Jul 2018 | B1 |
10126200 | Steele et al. | Nov 2018 | B1 |
10268198 | Mantripragada et al. | Apr 2019 | B2 |
10325485 | Schuster | Jun 2019 | B1 |
10365646 | Farnsworth et al. | Jul 2019 | B1 |
10429546 | Ulmer | Oct 2019 | B1 |
10677771 | Dittberner et al. | Jun 2020 | B2 |
10753864 | Kasten et al. | Aug 2020 | B2 |
10816458 | Kasten et al. | Oct 2020 | B2 |
10830034 | Cooley et al. | Nov 2020 | B2 |
10962437 | Nottrott et al. | Mar 2021 | B1 |
11105784 | Kukreja et al. | Aug 2021 | B2 |
11112308 | Kreitinger et al. | Sep 2021 | B2 |
11275068 | Willett | Mar 2022 | B2 |
11299268 | Christensen et al. | Apr 2022 | B2 |
11519855 | Black et al. | Dec 2022 | B2 |
11557212 | Hong | Jan 2023 | B2 |
11614430 | Buckingham et al. | Mar 2023 | B2 |
11619562 | Leen et al. | Apr 2023 | B2 |
11710411 | Van Meeteren et al. | Jul 2023 | B2 |
11748866 | Vargas | Sep 2023 | B2 |
20020005955 | Kramer et al. | Jan 2002 | A1 |
20030160174 | Grant et al. | Aug 2003 | A1 |
20030189711 | Orr et al. | Oct 2003 | A1 |
20030230716 | Russell et al. | Dec 2003 | A1 |
20040012787 | Galle et al. | Jan 2004 | A1 |
20040017762 | Sogawa et al. | Jan 2004 | A1 |
20040212804 | Neff et al. | Oct 2004 | A1 |
20060015290 | Warburton et al. | Jan 2006 | A1 |
20060044562 | Hagene et al. | Mar 2006 | A1 |
20060232772 | Silver | Oct 2006 | A1 |
20060234621 | Desrochers et al. | Oct 2006 | A1 |
20070137318 | Desrochers et al. | Jun 2007 | A1 |
20080169934 | Lang | Jul 2008 | A1 |
20080243372 | Bodin et al. | Oct 2008 | A1 |
20090201507 | Kluczynski et al. | Aug 2009 | A1 |
20090263286 | Isomura et al. | Oct 2009 | A1 |
20090326792 | McGrath | Dec 2009 | A1 |
20100004798 | Bodin et al. | Jan 2010 | A1 |
20100131207 | Lippert et al. | May 2010 | A1 |
20100140478 | Wilson et al. | Jun 2010 | A1 |
20100147081 | Thomas | Jun 2010 | A1 |
20110035149 | McAndrew et al. | Feb 2011 | A1 |
20110074476 | Heer et al. | Mar 2011 | A1 |
20110150035 | Hanson et al. | Jun 2011 | A1 |
20110164251 | Richter | Jul 2011 | A1 |
20110213554 | Archibald et al. | Sep 2011 | A1 |
20110242659 | Eckles et al. | Oct 2011 | A1 |
20110257944 | Du et al. | Oct 2011 | A1 |
20120120397 | Furtaw et al. | May 2012 | A1 |
20130044314 | Koulikov et al. | Feb 2013 | A1 |
20130076900 | Mrozek et al. | Mar 2013 | A1 |
20130208262 | Andreussi | Aug 2013 | A1 |
20140172323 | Marino | Jun 2014 | A1 |
20140204382 | Christensen | Jul 2014 | A1 |
20140236390 | Mohamadi | Nov 2014 | A1 |
20140336957 | Hanson et al. | Nov 2014 | A1 |
20150072633 | Massarella et al. | Mar 2015 | A1 |
20150145954 | Pulleti et al. | May 2015 | A1 |
20150275114 | Tumiatti et al. | Oct 2015 | A1 |
20150295543 | Brown et al. | Oct 2015 | A1 |
20150316473 | Kester et al. | Nov 2015 | A1 |
20150323449 | Jones et al. | Nov 2015 | A1 |
20150336667 | Srivastava et al. | Nov 2015 | A1 |
20160018373 | Page et al. | Jan 2016 | A1 |
20160070265 | Liu et al. | Mar 2016 | A1 |
20160104250 | Allen et al. | Apr 2016 | A1 |
20160146696 | Steele et al. | May 2016 | A1 |
20160161456 | Risk et al. | Jun 2016 | A1 |
20160202225 | Feng et al. | Jul 2016 | A1 |
20160214715 | Meffert | Jul 2016 | A1 |
20160307447 | Johnson et al. | Oct 2016 | A1 |
20160357192 | McGrew et al. | Dec 2016 | A1 |
20170003684 | Knudsen et al. | Jan 2017 | A1 |
20170057081 | Krohne et al. | Mar 2017 | A1 |
20170089829 | Bartholomew et al. | Mar 2017 | A1 |
20170093122 | Bean et al. | Mar 2017 | A1 |
20170097274 | Thorpe et al. | Apr 2017 | A1 |
20170115218 | Huang et al. | Apr 2017 | A1 |
20170134497 | Harter et al. | May 2017 | A1 |
20170158353 | Schmick | Jun 2017 | A1 |
20170199647 | Richman et al. | Jul 2017 | A1 |
20170206648 | Marra et al. | Jul 2017 | A1 |
20170235018 | Foster et al. | Aug 2017 | A1 |
20170259920 | Lai et al. | Sep 2017 | A1 |
20170307519 | Black et al. | Oct 2017 | A1 |
20170336281 | Waxman et al. | Nov 2017 | A1 |
20170339820 | Foster et al. | Nov 2017 | A1 |
20180023974 | Otani et al. | Jan 2018 | A1 |
20180045561 | Leen et al. | Feb 2018 | A1 |
20180045596 | Prasad et al. | Feb 2018 | A1 |
20180050798 | Kapuria | Feb 2018 | A1 |
20180059003 | Jourdainne et al. | Mar 2018 | A1 |
20180067066 | Giedd et al. | Mar 2018 | A1 |
20180109767 | Li et al. | Apr 2018 | A1 |
20180122246 | Clark | May 2018 | A1 |
20180127093 | Christensen et al. | May 2018 | A1 |
20180188129 | Choudhury et al. | Jul 2018 | A1 |
20180259955 | Noto | Sep 2018 | A1 |
20180266241 | Ferguson et al. | Sep 2018 | A1 |
20180266946 | Kotidis et al. | Sep 2018 | A1 |
20180209902 | Myshak et al. | Oct 2018 | A1 |
20180284088 | Verbeck, IV | Oct 2018 | A1 |
20180292374 | Dittberner et al. | Oct 2018 | A1 |
20180321692 | Castillo-Effen et al. | Nov 2018 | A1 |
20180322699 | Gray et al. | Nov 2018 | A1 |
20190011920 | Heinonen et al. | Jan 2019 | A1 |
20190011935 | Ham et al. | Jan 2019 | A1 |
20190025199 | Koulikov | Jan 2019 | A1 |
20190033194 | DeFreez et al. | Jan 2019 | A1 |
20190049364 | Rubin | Feb 2019 | A1 |
20190077506 | Shaw et al. | Mar 2019 | A1 |
20190086202 | Guan et al. | Mar 2019 | A1 |
20190095687 | Shaw et al. | Mar 2019 | A1 |
20190154874 | Shams et al. | May 2019 | A1 |
20190178743 | McNeil | Jun 2019 | A1 |
20190195789 | Pan et al. | Jun 2019 | A1 |
20190204189 | Mohr, Jr. et al. | Jul 2019 | A1 |
20190212419 | Jeong et al. | Jul 2019 | A1 |
20190220019 | Tan et al. | Jul 2019 | A1 |
20190228573 | Sen et al. | Jul 2019 | A1 |
20190234868 | Tanomura et al. | Aug 2019 | A1 |
20190331652 | Ba et al. | Oct 2019 | A1 |
20200050189 | Gu et al. | Feb 2020 | A1 |
20200109976 | Ajay et al. | Apr 2020 | A1 |
20200135036 | Campbell | Apr 2020 | A1 |
20200249092 | Podmore et al. | Aug 2020 | A1 |
20200400635 | Potyrailo et al. | Dec 2020 | A1 |
20210017926 | Alkadi et al. | Jan 2021 | A1 |
20210037197 | Kester et al. | Feb 2021 | A1 |
20210055180 | Thorpe et al. | Feb 2021 | A1 |
20210109074 | Smith | Apr 2021 | A1 |
20210140934 | Smith et al. | May 2021 | A1 |
20210190745 | Buckingham | Jun 2021 | A1 |
20210190918 | Li et al. | Jun 2021 | A1 |
20210199565 | John et al. | Jul 2021 | A1 |
20210247369 | Nottrott et al. | Aug 2021 | A1 |
20210255158 | Smith et al. | Aug 2021 | A1 |
20210300591 | Tian | Sep 2021 | A1 |
20210321174 | Sun | Oct 2021 | A1 |
20210364427 | Smith | Nov 2021 | A1 |
20210382475 | Smith | Dec 2021 | A1 |
20220082495 | Kreitinger et al. | Mar 2022 | A1 |
20220113290 | Smith | Apr 2022 | A1 |
20220268952 | Liang et al. | Aug 2022 | A1 |
20220341806 | Miller, II | Oct 2022 | A1 |
20220357231 | Nahata et al. | Nov 2022 | A1 |
20230146441 | Donnat et al. | May 2023 | A1 |
20230160789 | Donnat et al. | May 2023 | A1 |
20230194487 | Buckingham | Jun 2023 | A1 |
20230207070 | Donnat et al. | Jun 2023 | A1 |
20230213413 | Mohr, Jr. et al. | Jul 2023 | A1 |
20230274651 | McGuire et al. | Aug 2023 | A1 |
20230392498 | Srivastav et al. | Dec 2023 | A1 |
Number | Date | Country |
---|---|---|
3401499 | Nov 1999 | AU |
104458588 | Mar 2015 | CN |
205749271 | Nov 2016 | CN |
205749271 | Nov 2016 | CN |
106769977 | May 2017 | CN |
106769977 | May 2017 | CN |
107703075 | Feb 2018 | CN |
109780452 | May 2019 | CN |
211508182 | Sep 2020 | CN |
112213443 | Jan 2021 | CN |
29601472 | May 1996 | DE |
69333010 | Apr 2004 | DE |
102014013822 | Mar 2016 | DE |
1371962 | Jul 2011 | EP |
3047073 | Aug 2019 | FR |
2538563 | Nov 2016 | GB |
200975823 | Apr 2009 | JP |
2009075823 | Apr 2009 | JP |
2009075823 | Apr 2009 | JP |
101770254 | Jun 2017 | KR |
20170062813 | Jun 2017 | KR |
20170062813 | Jun 2017 | KR |
101770254 | Aug 2017 | KR |
522226 | May 2016 | TW |
1999054700 | Oct 1999 | WO |
WO-1999054700 | Oct 1999 | WO |
WO-02066950 | Aug 2002 | WO |
2008021311 | Feb 2008 | WO |
WO-2008021311 | Feb 2008 | WO |
2015073687 | May 2015 | WO |
2016045791 | Mar 2016 | WO |
2016045791 | Mar 2016 | WO |
WO-2016045791 | Mar 2016 | WO |
2016162673 | Oct 2016 | WO |
2017069979 | Apr 2017 | WO |
2018121478 | Jul 2018 | WO |
2018227153 | Dec 2018 | WO |
2019246280 | Dec 2019 | WO |
2020007684 | Jan 2020 | WO |
WO-2020028353 | Feb 2020 | WO |
WO-2020086499 | Apr 2020 | WO |
2020206020 | Oct 2020 | WO |
WO-2020206006 | Oct 2020 | WO |
WO-2021055902 | Mar 2021 | WO |
WO-2021158916 | Aug 2021 | WO |
WO-2022093864 | May 2022 | WO |
WO-2022211837 | Oct 2022 | WO |
Entry |
---|
Manuel Queißer et al., Large-area quantification of subaerial CO2 anomalies with portable laser remote sensing and 2D tomography, The Leading Edge Mar. 2018, pp. 306-313 (Year: 2018). |
Manuel Queißer et al., A new frontier in CO2 flux measurements using a highly portable DIAL laser system, Scientific Reports, DOI:10.1038/srep33834 1, Sep. 22, 2016, pp. 1-13 (Year: 2016). |
Siwen Liu et al., Development of a UAV-Based System to Monitor Air Quality over an Oil Field, Montana Technological University, Montana Tech Library Digital Commons @ Montana Tech Graduate Theses & Non-Theses, Fall 2018, pp. 1-85 (Year: 2018). |
Toru Miyama et al., Estimating allowable carbon emission for CO2 concentration stabilization using a GCM-based Earth system model, Geophysical Research Letters, vol. 36, L19709, doi:10.1029/2009GL039678, 2009, pp. 0094-8276 (Year: 2009). |
Nicholas C. Parazoo et al., Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT, Geophysical Research Letters, vol. 40, 2829-2833, doi:10.1002/grl.50452, 2013, pp. 2829-2833 (Year: 2013). |
Christoph Kern et al., Spatial Distribution of Halogen Oxides in the Plume of Mount Pagan Volcano, Mariana Islands, Geophysical Research Letters 10.1029/2018GL079245, Sep. 27, 2018, pp. 9588-9596 (Year: 2018). |
J. Liao et al., Observations of inorganic bromine (HOBr, BrO, and Br2) speciation at Barrow, Alaska, in spring 2009, Journal of Geophysical Research, vol. 117, D00R16, doi:10.1029/2011JD016641, 2012, pp. 1-11 (Year: 2012). |
Mark A. Clilverd et al., Energetic particle injection, acceleration, and loss during the geomagnetic disturbances which upset Galaxy 15, Journal of Geophysical Research, vol. 117, A12213, doi:10.1029/2012JA018175, 2012, pp. 1-16 (Year: 2012). |
Clive Oppenheimer et al., Ultraviolet Sensing of Volcanic Sulfur Emissions, Elements (An International Magazine of Mineralogy, Geochemistry, and Petrology), Apr. 2010, vol. 6, pp. 87-92 (Year: 2010). |
International Search Report and Written Opinion for PCT/US2019/044119 mailed Oct. 17, 2019. |
International Search Report and Written Opinion for PCT/US23/13893, mailed Jun. 30, 2023. |
International Search Report and Written Opinion for PCT/US22/38951, mailed Nov. 28, 2022. |
Kelly J F et al. “A capillary absorption spectrometer for stable carbon isotope ratio (C/C) analysis in very small samples”, Review of Scientific Instruments, American Institute of Physics, 2 Huntington Quadrangle, Melville, NY 11747, vol. 83, No. 2, Feb. 1, 2012 (Feb. 1, 2012), pp. 23101-23101, XP012161835, ISSN: 0034-6748, DOI: 10.1063/1.3680593. |
Krings et al., Atmos. Meas. Tech., 11, 721-739, Feb. 7, 2018. |
Lilian Joly, The evolution of AMULSE (Atmospheric Measurements by Ultra-Light Spectrometer) and its interest in atmospheric applications. Results of the Atmospheric Profiles of GreenhousE gasEs (APOGEE) weather balloon release campaign for satellite retrieval validation, p. 1-28, Sep. 25, 2019, Atmospheric Measurement Techniques Discussion (Joly). |
U.S. Appl. No. 62/687,147, filed Jun. 19, 2018, Brendan James Smith. |
“Safesite Multi-Threat Detection System”, Jul. 11, 2012 (Jul. 11, 2012), pp. 1-6, XP055245980. |
International Search Report and Written Opinion for PCT/US19/38011 mailed Sep. 9, 2019. |
International Search Report and Written Opinion for PCT/US19/38015, mailed Oct. 18, 2019. |
International Search Report and Written Opinion for PCT/US19/44119, mailed Oct. 17, 2019. |
International Search Report and Written Opinion for PCT/US20/26228 mailed Jul. 1, 2020. |
International Search Report and Written Opinion for PCT/US20/26232 mailed Jun. 26, 2020. |
International Search Report and Written Opinion for PCT/US20/26246 mailed Jun. 29, 2020. |
International Search Report and Written Opinion for PCT/US20/51696, mailed Feb. 3, 2021. |
International Search Report and Written Opinion for PCT/US2020/044978, mailed Oct. 26, 2020. |
International Search Report and Written Opinion for PCT/US2021/016821 mailed Apr. 26, 2021. |
International Search Report and Written Opinion for PCT/US2021/024177, mailed Jun. 23, 2021. |
International Search Report and Written Opinion for PCT/US2021/056708, mailed Jan. 27, 2022. |
International Search Report and Written Opinion for PCT/US21/42061, mailed Nov. 26, 2021. |
International Search Report and Written Opinion for PCT/US21/44532, mailed Jan. 11, 2022. |
International Search Report and Written Opinion for PCT/US21/56710, mailed Feb. 23, 2022. |
International Search Report and Written Opinion of PCT/US19/57305, mailed Jan. 2, 2020. |
International Search Report and Written Opinion of PCT/US20/54117, mailed Dec. 22, 2020. |
Joly, “Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) Dedicated to Vertical Profile In Situ Measurements of Carbon Dioxide (CO2) Under Weather Balloons: Instrumental Development and Field Application,” Sensors 2016, 16, 1609. |
Khan, “Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles”, Remote Snse. 2012, 4, 1355-1368. |
Villa. “An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives”. Sensors. Web . Jul. 12, 2016. |
White, “Development of an Unmanned Aerial Vehicle for the Measurement of Turbulence in the Atmospheric Boundary Layer”, Atmosphere, v.8, issue 10, 195, pp. 1-25. |
International Search Report and Written Opinion for PCT/US2023/023933 mailed Sep. 26, 2023. |
IEEE Conference Paper, “Research of the high pressure jet performance of small size nozzle,” ISBN : 978-1-5090-1087-5, Publication Date : Oct. 1, 2016, Conference dates Oct. 10, 2016 thru Oct. 12, 2016.[retrieved from the Internet] on Sep. 1, 2023 at 4:14pm. |
International Search Report and Written Opinion for PCT/US23/23905 mailed Oct. 5, 2023. |
Development of a mobile tracer correlation method for assessment of air emissions from landfills and other area sources, Atmospheric Environment 102 (2015) 323-330. T.A. Foster-Wittig et al. 2015. |
Measurements of Methane Emissions from Landfills Using a Time Correlation Tracer Method Based on FTIR Absorption Spectroscopy, Environ. Sci. Technol. 2001, 35, 21-25, B. Galle et. al. 2001. |
Feng, Lingbing, Nowak, Gen, O'Neill, T.J., Welsh, A.H.“Cutoff; A spatio-temporal imputation method.” Journal of Hydrology 519 (2014) : 3591-3605 (Year:2014). |
Cabreira et al. “Survey on Coverage Path Planning with Unmanned Aerial Vehicles”, published: Drones, published: Jan. 2019, pp. 1-38, year 2019. |
Number | Date | Country | |
---|---|---|---|
20220113290 A1 | Apr 2022 | US |
Number | Date | Country | |
---|---|---|---|
62712096 | Jul 2018 | US |