Patent Application
20200230632
In a fluid spraying system, different fluids (e.g., different types of paints, etc.) have different physical properties that affect atomization rates, and spray patterns. Additionally, different spray tips used by the spraying system have different properties that affect atomization rates, and atomization patterns.
The discussion above is merely provided for general background information and is not intended to be used as an aid in determining the scope of the claimed subject matter. The claimed subject matter is not limited to implementations that solve any or all disadvantages noted in the background.
A fluid spraying system includes a fluid applicator having a tip that atomizes a fluid. The fluid spraying system also includes a pump configure to pump the fluid from a fluid source to the tip and a control system. The control system identifies at least one characteristic of the tip or the fluid and communicatively couples to the pump. The control system also controls an operating characteristic of the fluid spraying system based on a characteristic of the tip or the fluid.
These and various other features and advantages will be apparent from a reading of the following Detailed Description. This Summary and Abstract are not intended to identify key features or essential features of the claimed subject matter, nor are they intended to be used as an aid in determining the scope of the claimed subject matter. The claimed subject matter is not limited to implementations that solve any or all disadvantages noted in the background.
While the above-identified figures set forth one or more examples of the disclosed subject matter, other examples are also contemplated, as noted in the disclosure. In all cases, this disclosure presents the disclosed subject matter by way of representation and not limitation. It should be understood that numerous other modifications and examples can be devised by those skilled in the art which fall within the scope and spirit of the principles of this disclosure.
Different fluids have different physical properties that affect atomization rates, and atomization patterns. Additionally, different spray tips have different properties that affect atomization rates, and atomization patterns. For the average consumer using a spraying system, determining which conditions are necessary for achieving an even spray pattern (e.g., a spray pattern free of tailing effects) can be difficult. Accordingly, one example spraying system includes features that detect (automatically or with some user input) the current tip and/or the current fluid being sprayed. For instance, the fluid can be identified fully automatically by using a sensor in the fluid and the tip can be identified by automatically reading an RFID tag (or other type of tag) in the tip when the tip is inserted into the applicator or by placing the tip near a sensor associated with the pump. Alternatively or in addition, the tip can be identified semi-automatically by having the user scan a machine readable (MR) code (such as a barcode, Quick Response (QR) code, image recognition, etc.) on the tip, tip package, etc. and the fluid can be identified semi-automatically by scanning a bar code on a fluid source (e.g., the fluid bucket, etc.). In some examples, the user can use a separate device, such as a mobile device to scan these codes.
Using tip and fluid identification information, the spraying system can be improved to produce desired spraying characteristics. For instance, changing pump settings based on tip size/geometry and fluid characteristics to get desired atomization rates/spray patterns. In some examples, the improvement occurs automatically through automatic adjustment of pump settings. In other examples, the improvement is recommended to the operator, such that they can manually accept or reject the recommended changes.
As a tip wears, or otherwise ages, the characteristics of the tip (e.g., the spray pattern shape/size, flowrate, internal turbulation, etc.) can change. For example, a new tip may dispense twenty ounces per minute (oz/min), while that same tip, after some usage, may dispense twenty-two oz/min. For consistent or otherwise improved spray coverage, examples of the present system accounts for wear affects, for example by adjusting a characteristic of the pump operation. In some examples, the diameter of the tip orifice can be calculated based on the sensed pressure, pump RPM, pump displacement, etc. Additionally, a “life” of the tip can be determined by comparing a current tip's orifice size to the tip's initial orifice size (e.g., 100% tip life) and an unacceptably worn tip orifice size (e.g., 0% tip life).
In some examples, an electronic device (e.g., smart phone, tablet, PC, etc.) can interface with the pump through a wired or wireless connection. The electronic device can also provide a user interface for a user to control and/or monitor operations of the spraying system 100. For example, setting fluid pressure, entering cleaning mode, tracking fluid throughput, etc. In some examples, water being pumped through spraying system 100 to clean the system is detected and not counted as fluid throughput.
An internet or other network connection of the electronic device can be used to update the software/firmware of the spraying system 100. In other examples, spraying system 100 can directly connect to the internet or another network.
In some cases, tip 116 can include an identifier 122 that is read by a tip sensor 123 coupled to applicator 110. Of course, a different tip sensor 123 could also read identifier 122 as well. Identifier 122 can be a form of RFID tag or similar electronic devices. Tip sensor 123 can be an RFID or other electronic reader that reads the identifier 122 of tip 116 when the objects are within close proximity to each other (e.g., when tip 116 is inserted into applicator 110).
Identifier 122 could be a different type of device, such as a mechanical device. For example, identifier 122 could be a specific profile of tip 116 that contacts a different part of tip sensor 123 based on the type of tip 116 (e.g., each tip would have a unique profile that could be detected by tip sensor 123). Identifier 122 could be a different device as well, such as electronic leads that contact leads (tip sensor 123) on applicator 110. Identifier 122 could include other items as well to transmit identifying information of the tip to tip sensor 123 as well.
As shown, tip sensor 123 wirelessly transmits the tip data to a pump controller. In another example, tip sensor 123 is coupled to a pump controller via a wired connection (e.g., a wire that runs along the length of delivery line 106).
In some examples, an optical sensor can be disposed on fluid applicator 110 (or elsewhere that can sense the fluid being expelled from fluid applicator 110) to sense changes in the spray pattern. For instance, as a tip wears, the pattern it generates can narrow or being to spit. The narrowing or spitting in the pattern can be detected by the optical sensor.
Interface 200, as shown, includes pressure indicator 202 that displays a current pressure of the fluid being pumped by the given pump. Fluid indicator 204 is a display mechanism that shows the current fluid being pumped by given pump. Tip indicator 206 is a display mechanism that displays the current tip installed in applicator 110. Pressure increase mechanism 208 is actuatable to increase the current pressure generated by pump 102. Pressure decreased mechanism 210 can be actuated to decrease the current pressure generated by pump 102. In other examples, there may be other actuatable mechanisms that change other settings of pump 102.
Manual tip selection mechanism 212 is actuatable to select a given tip. For example, manual tip selection mechanism 212 is actuated to generate an interface that allows a user to manually select the tip currently installed in applicator 110. Manual fluid selection mechanism 214 is actuatable to select a fluid that is to be applied by applicator 110. For example, manual fluid selection mechanism 214 can be actuated to generate an interface that allows a user to select the current fluid being pumped by pump 102. When the user selects the tip manually, the algorithm (tip life indicator) in the app can also figure out the life of the tip (like wear, flow rate, etc.) based on the pre-defined data set hard coded for each tip. Tip can also mean a nozzle.
Auto tip selection mechanism 216 is actuated to automatically sense the current tip within applicator 110. For example, the tip can be automatically selected by reading the RFID tag within the tip or some other electrical connection between the tip and a device. In another example, the tip can be automatically selected by scanning the barcode on the tip or packaging of the tip, etc.
Automatic fluid selection 218 can be actuated to automatically select the type of fluid being pumped by pump 102. For example, a sensor located in the fluid can sense a type of fluid. In another example, a barcode on the fluid storage device can be scanned to identify the type of fluid. In another example, an RFID or similar electronic mechanism can be read to identify the fluid. In another example, an application uses camera functionality on a mobile device, and the user takes a picture of the name of fluid storage device, and through image recognition the app can figure out the type of fluid.
Tip life indicator 220 displays a current remaining life of the inserted tip. This life can be calculated or estimated by the pump controller. For example, previous data gathered on the wear of certain tips that are spraying certain fluids can be used to estimate wear on the current tip. In some cases, tips can have unique identifiers that identify themselves from other tips (of the same type), this way a tip can be tracked over a given time frame even when being switched with other tips. In one example, a tip used across multiple spraying systems can have its life tracked by saving usage/spray times in combination with the unique tip identifier to a database accessible to multiple spraying systems. In one example, for each tip, the information generated on the wear, shall be saved on to the cloud and is used by the manufacturer to better estimate/understand the tip wear. The manufacturer, who has access to the tip wear data with different coatings, can use the information to better design future tips.
Environment 99 includes spraying system 100, tip 116, fluid source 124 and mobile device 650, but can include other items as well. Spraying system 100 includes pump 102 that pumps a fluid from fluid source 124 to applicator 110 and tip 116. System 100 includes a controller 111. In one example, controller 111 comprises a computing device, such as a microprocessor that communicatively couples to pump 102 and sends signals to pump 102 to control various aspects of operation of pump 102. For example, controller 111 monitors pump operation and controls the pump to maintain a fluid pressure in a fluid as it is pumped to applicator 110. In one example, controller 111 includes integrated software or logic components to perform a variety of different functions. For example, integrated software may be used to change the state of a solenoid in a reciprocating piston pump. Controller 111 couples to communication component 636 that allows communication with interface 200, when interface 200 is on another device, such as a smart phone or other mobile device (e.g., interface 656).
As mentioned, controller 111 can include computer processors with associated memory and timing circuitry, not separately shown. They are functional parts of the systems or devices to which they belong and are activated by, and facilitate the functionality of the other components or items in those systems.
Spraying system 100 also includes a data store 622. Data store 622 can store information associated with the pump, tip, spray gun/applicator, users, jobs, etc. For example, as a tip is used, the wear on the tip (e.g., calculated based on throughput of fluid, calculating a tip orifice diameter, etc.) can be stored with the tip identifier in data store 101 as tip data 624. As another example, the pump hours can be stored in data store 622. Data store 622 can reside on spraying system 100 or in another environment, such as a remote server.
Fluid intake 108 facilitates fluid flow from fluid source 124 to pump 102. Delivery line 106 facilitates fluid flow from pump 102 to applicator 110/tip 116. Delivery line 106 can include other items as well, such as, a communication line that facilitates data transfers from any device located on applicator 110 to pump 102. For example, data from applicator 110 can be used to set the pressure generated by pump 102 (e.g., the type of tip in applicator 110).
Interface 200 allows control of pump 102 and ultimately control of the spray pattern generated by the spraying operation. Interface 200 can be located on a housing of pump 102 or can be located remotely as well. For example, interface 200 could be on a mobile device (such as a mobile device 630) that sends control signals to pump 102 wirelessly, or through wired connection. Interface 200 could include different devices and/or mechanisms as well. Spraying system 100 can have one or more tip sensors 123 that identify the type of tip 116 and/or one or more fluid sensors 120 the type of fluid in fluid source 124. Sensors 120 and 123 can include RFID readers, barcode scanners, QR code scanners, fluid sensors, electronic leads/pins and switches, etc. Spraying system 100 can include other items as well, as indicated by block 119. Sensors 120 and 123 can be disposed in a variety of different places, for example, in or on the applicator, a mobile device, a pump, etc.
Spraying system 100 includes spray system monitoring and control system 600. Spray system monitoring and control system 600 includes various software or hardware logic components 602-621. In some examples, these components are implemented by controller 111. In other examples, these components are implemented by a different controller or processor (e.g., processor 654 or another processor located at a remote server).
Spray system monitoring and control system 600 includes tip identifying logic 602 which identifies the tip. For example, tip identifying logic 602 receives sensor signals that indicate the tip model and serial number. In one instance, tip identifying logic 602 receives sensor signals from a camera and identifies the tip based on the image (e.g., by reading a machine-readable code in the image, using optical character recognition to read a serial/model number, etc.). In another instance, tip identifying logic 602 receives sensor signals from a wireless communications sensor and identifies tip 116 based on the wireless signal (e.g., a RFID signal, a Bluetooth signal, an NFC signal, etc.). In another instance, tip identity logic 602 generates interactive components on an interface (e.g., interface 200) that enables a user to manually select a tip. In other examples, tip identifying logic 602 can identify tip 116 in other ways as well.
Fluid identifying logic 604 identifies the fluid. For example, fluid identifying logic 604 receives sensor signals that indicate the type and/or amount of paint. In one instance, fluid identifying logic 604 receives sensor signals from a camera and identifies the fluid by the image (e.g., by reading a machine-readable code in the image such as a barcode, using optical character recognition to read a part number, etc.). In another instance, fluid identifying logic 604 receives sensor signals from a wireless communications sensor and identifies fluid source 124 based on the wireless signal (e.g., a RFID signal, a Bluetooth signal, an NFC signal, etc.). In other examples, fluid identifying logic 604 can identify fluid source 124 in other ways as well.
Fluid flow logic 606 calculates or monitors fluid flow through pump 102. For instance, fluid flow logic 606 can receive sensor signals indicative of displacement of a piston within pump 102 and frequency of the piston reciprocation to calculate fluid flow. In another example, fluid flow logic 606 receives a signal from a fluid flow meter. Fluid flow logic 606 can calculate or monitor fluid flow in other ways as well.
Fluid coverage logic 610 calculates an area and thickness of fluid coverage on a surface being covered by a spraying operation. For example, fluid coverage logic 610 receives sensor signals from motion/location sensors (e.g., inertial measurement unit, gyroscope, accelerometer, proximity sensor, etc.) on an applicator and, a fluid flow rate and a spray pattern area to calculate fluid coverage. For instance, if an applicator 110 moves slower during application the coverage area will be less but the coverage thickness will be greater. Fluid coverage logic 610 can calculate an area and thickness of fluid coverage in other ways as well. Fluid coverage logic 610, in one example, can use visual aids to spatially map the covered paint area, including the ability to calculate the area of curved surfaces. Fluid coverage logic 610, in one example, can use edge detection algorithms, smoothing algorithms, and determines where fluid has or has not been applied, through color detection/light emission schemes.
Job management logic 612 generates user interface displays that a user can interact with to manage jobs. For example, a job can track information about a specific fluid operation at a worksite. Some characteristics of the job include the customer, the users completing the job, the location of the job, the fluid used on the job, the equipment (e.g., pump tip, applicator, etc.) used on the job, the time allocated to complete the job, calculating costs of job, environmental considerations etc. In one example, job management logic 612, can use pre-defined data set for over spray with a tip, to calculate the amount of over spray at the end of day. In one example, the over spray calculation, can help the occupants in deciding the safe duration to return to their space.
Tip wear logic 614 calculates the wear of tips 116 during a spraying operation. For example, tip wear logic 614 can receive information from tip identifying logic 602 as to the characteristics of the current tip 116 (e.g., the tip material, tip diameter tip orifice diameter, tip internal tip geometry, tip pressure ranges, etc.). Tip wear logic 614 can compare the standard characteristics of tip 116 (e.g., the characteristics the tip should have at manufacture) with the current detected characteristics of the tip to calculate a “tip life”. For example, one relevant tip characteristic related to the tip life is the tip orifice size which can be calculated based on the flow rate, pressure, pump characteristics, etc. Comparing the tip at manufacture orifice size to the current tip orifice size and the largest acceptable orifice size can indicate a life of the tip, that is, the length of time a tip has to work effectively. In other examples, tip wear logic 614 calculates tip wear based on the amount of fluid flow that has been through tip 116 and/or the time that tip 116 has been used.
Timing logic 616 calculates and stores the time that the various components of spraying system 100 have been used. For example, pumps need to be serviced after a given amount of time and timing logic 616 keeps track of the time since the pump was last serviced. Similarly, tips need to be replaced often need to be replaced after given amount time and timing logic 616 can automatically keep track of this time.
Recommendation logic 618 generates recommendations for user 670. For example, recommendation logic 618 can receive information from tip identifying logic 602 tip wear logic 614 and fluid identifying logic 604 that indicative of the current tip and fluid being used. With this knowledge, recommendation logic 618 can give a recommendation (e.g., shown to the user on a display of a mobile device or pump) on a pressure to set for effective spraying with the current tip and fluid combination. In another example, recommendation logic 618 receives data from tip wear logic 614 and gives a recommendation to change a setting of pump 102 based on the wear of tip 116 identified by tip wear logic 614. In another example, recommendation logic 618 will give a recommendation to service pump 102 after a time of use has been received from timing logic 616. In one example, the service notifications are also stored in the cloud and the technical service personnel can have access to this information for every pump, before servicing the device. The technical service personnel can look for this information through the pump's serial number in the remote server/cloud and obtain contextual information on the pump which can aide in diagnosing and repairing procedures.
Motor logic 613 interfaces with motor 103 that controls pump 102. For example, motor logic 613 can monitor the motor temperature and send a high temperature alert. As another example, motor logic 613 can monitor the motor RPM, which normally correlates with the fluid flow and/or pressure of the fluid.
Non-smart pump logic 615 includes components to interface with a non-smart pump. For example, non-smart pump logic 615 can connect to a dongle or other device that couples to a non-smart pump to provide some smart pump features. For instance, the run-time, temperature, and RPM's of the pump could be monitored by the device and sent to the non-smart pump logic 615. In some cases, non-smart pump logic 615 can receive manual user input on pump usage from a user for the pump.
Control logic 620 generates control signals to control pump 102, motor 103 and other components of spraying system 100. For instance, control logic 620 generates a series of electrical impulses to control motor 103 to operate at a given RPM.
Datastore 622 includes tip data 624, fluid data 626, pump data 628, user data 630, job data 632 and can include other items as well, as indicated by block 634. Tip data 624 can include data on tips, for example, the tip model number, the tip serial number or other identifier, the tip life, the tip usage time, the fluids used with the tip, the tip initial dimensions, the tip current dimensions, etc. Fluid data 626 can include data on fluids, for example, the shear viscosity, extensional viscosity, rheological profile (shear rate graph), density, surface tension, preferred tip for the fluid, etc. Pump data 628 can include data on pumps, for example, the pump horsepower, the pump displacement length, the pump chamber volume, maximum and minimum effective pressure, pump operating history, etc. User data 630 can include data on users, for example, the username, the user run time, fluids used by the user, tips used by the user, pumps used by the user, etc. Job data 632 includes data on jobs, for example, the job location, the job coverage area, the job fluid thickness, the fluid type, the time on the job, the customer associated with the job, etc.
Tip 116 includes identifier 122 that is scanned or otherwise interacts with tip sensor 123 to identify the type of tip 116. Some examples of identifies 122 include serial/mode numbers, electronic ID tags, physical keying features, etc. Tip 116 can include other items as well, as indicated by block 127.
Fluid source 124 includes identifier 126 that can interact with fluid sensor 120 to identify the type of fluid in fluid source 124. Fluid source 124 can include other items as well, as indicated by block 128.
Operation 300 proceeds at block 310, where the fluid to be applied is identified (e.g., fluid source 124 is identified by fluid identifying logic 604). Fluid can be identified a number of different ways, as indicated by blocks 312-318. Fluid can be identified by scanning a machine-readable code (e.g., a bar or QR code) as indicated by block 312. The machine-readable code can be located on the fluid storage area, the fluid packaging, etc. The reader can be located on a mobile device, the fluid applicator (e.g., applicator 110) or some other device as well.
The fluid to be applied can be identified by an RFID or other electronic method, as indicated by block 314. For example, an RFID tag can be disposed on a bucket in which the fluid is sold in and an RFID reader is located on a fluid intake of the pump to read the RFID tag. The liquid can be identified manually, as indicated by block 316. For example, a user selects the type of fluid from a list on an interface 200. The liquid can be identified in other ways as well, as indicated by block 318. For examples, an image of the fluid source can be taken and is analyzed by fluid identifying logic 604 to identify the fluid source.
Operation 300 proceeds at block 320, where the pressure is set or a recommendation is made, based on the identified fluid and tip (e.g., by recommendation logic 618). The pressure can be retrieved from a lookup table or database of fluids and tips, as indicated by block 322. The pressure can be set based on an algorithm, as indicated by block 324. The pressure can be set based on other items as well, as indicated by block 326. In some examples, a different setting other than pressure is modified.
In addition, or in the alternate, a recommendation may be given to the user. In some examples, the user may be informed of an incompatibility between the fluid and the tip. In some examples, a recommendation may be made to the user to use a different tip/fluid combination for a better spray pattern. In one example, the user selects a desired type of atomization rate or pattern and the system recommends a specific tip/fluid/pump setting combination to achieve the desired outcome.
Operation 300 proceeds at block 330 where the fluid is pumped from the pump 102 to the applicator, where it is sprayed at the pressure determined in block 320. In one example, the pressure or setting is changed automatically (e.g., by control logic 620). In another example, the pressure or setting change is recommended to the user (e.g., by recommendation logic 618 and displayed on a display of the pump, mobile device, etc.). In another example, the pressure or setting change is made automatically, unless the user vetoes the change.
During operation the system 600 can provide other functions as well. For example, the tip life is displayed intermittently during the spray operation to the operator. In another example, as the tip life degrades the pump is adjusted to maintain a consistent spray pattern. Additionally, the flow rate and/or current application thickness are displayed (e.g., in oz/min).
At block 340 it is determined if the job is complete. If so, then operation 300 ends. If not, then operation 300 proceeds to block 301.
The interface of
At the bottom of the pump information window are prepare job and start job mechanisms which can be actuated to fulfill different functions. For example, actuating the prepare job mechanism can inform a user what they need to do to prepare for the next job (e.g., service the pump, change a filter or other component. etc.). Actuating the start job mechanism can bring a user to an interface such as the one shown in
The interface of
The interface of
At least some examples are described herein in the context of applying a coating material, such as paint, to a surface. As used herein, paint includes substances composed of coloring matter or pigment suspending in a liquid medium as well as substances that are free of coloring matter or pigment. Paint can also include preparatory coatings, such as primers. Paint can be applied to coat a surface as a liquid or a gaseous suspension, for example, and the coating provided can be opaque, transparent, or semi-transparent. Some particular examples include, but are not limited to, latex paint, oil-based paint, stain, lacquers, varnish, inks, and the like. At least some examples can be applied in plural components systems. For example, multiple identification devices identify the plurality of components used in the plural component system.
It should also be noted that the different examples described herein can be combined in different ways. That is, parts of one or more examples can be combined with parts of one or more other examples. All of this is contemplated herein.
It will be noted that the above discussion has described a variety of different systems, components and/or logic. It will be appreciated that such systems, components and/or logic can be comprised of hardware items (such as processors and associated memory, or other processing components, some of which are described below) that perform the functions associated with those systems, components and/or logic. In addition, the systems, components and/or logic can be comprised of software that is loaded into a memory and is subsequently executed by a processor or server, or other computing component, as described below. The systems, components and/or logic can also be comprised of different combinations of hardware, software, firmware, etc., some examples of which are described below. These are only some examples of different structures that can be used to form the systems, components and/or logic described above. Other structures can be used as well.
The present discussion has mentioned processors and servers. In one embodiment, the processors and servers include computer processors with associated memory and timing circuitry, not separately shown. They are functional parts of the systems or devices to which they belong and are activated by and facilitate the functionality of the other components or items in those systems.
Also, a number of user interface displays have been discussed. They can take a wide variety of different forms and can have a wide variety of different user actuatable input mechanisms disposed thereon. For instance, the user actuatable input mechanisms can be text boxes, check boxes, icons, links, drop-down menus, search boxes, etc. They can also be actuated in a wide variety of different ways. For instance, they can be actuated using a point and click device (such as a track ball or mouse). They can be actuated using hardware buttons, switches, a joystick or keyboard, thumb switches or thumb pads, etc. They can also be actuated using a virtual keyboard or other virtual actuators. In addition, where the screen on which they are displayed is a touch sensitive screen, they can be actuated using touch gestures. Also, where the device that displays them has speech recognition components, they can be actuated using speech commands.
A number of data stores have also been discussed. It will be noted they can each be broken into multiple data stores. All can be local to the systems accessing them, all can be remote, or some can be local while others are remote. All of these configurations are contemplated herein.
Also, the figures show a number of blocks with functionality ascribed to each block. It will be noted that fewer blocks can be used so the functionality is performed by fewer components. Also, more blocks can be used with the functionality distributed among more components.
In the example shown in
It will also be noted that the elements of
In other examples, applications can be received on a removable Secure Digital (SD) card that is connected to an interface 15. Interface 15 and communications link 13 communicate with a processor 17 (which can also embody processors or servers from previous FIGS.) along a bus 19 that is also connected to memory 21 and input/output (I/O) components 23, as well as clock 25 and location system 27.
I/O components 23, in one example, are provided to facilitate input and output operations. I/O components 23 for various embodiments of the device 16 can include input components such as buttons, touch sensors, optical sensors, microphones, touch screens, proximity sensors, accelerometers, orientation sensors and output components such as a display device, a speaker, and or a printer port. Other types of I/O components 23 can be used as well.
Clock 25 illustratively comprises a real time clock component that outputs a time and date. It can also, illustratively, provide timing functions for processor 17.
Location system 27 illustratively includes a component that outputs a current geographical location of device 16. This can include, for instance, a global positioning system (GPS) receiver, a LORAN system, a dead reckoning system, a cellular triangulation system, or other positioning system. It can also include, for example, mapping software or navigation software that generates desired maps, navigation routes and other geographic functions.
Memory 21 stores operating system 29, network settings 31, applications 33, application configuration settings 35, data store 37, communication drivers 39, and communication configuration settings 41. Memory 21 can include all types of tangible volatile and non-volatile computer-readable memory devices. It can also include computer storage media (described below). Memory 21 stores computer readable instructions that, when executed by processor 17, cause the processor to perform computer-implemented steps or functions according to the instructions. Processor 17 can be activated by other components to facilitate their functionality as well.
Computer 810 typically includes a variety of computer readable media. Computer readable media can be any available media that can be accessed by computer 810 and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer storage media is different from, and does not include, a modulated data signal or carrier wave. It includes hardware storage media including both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by computer 810. Communication media may embody computer readable instructions, data structures, program modules or other data in a transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
The system memory 830 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 831 and random-access memory (RAM) 832. A basic input/output system 833 (BIOS), containing the basic routines that help to transfer information between elements within computer 810, such as during start-up, is typically stored in ROM 831. RAM 832 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 820. By way of example, and not limitation,
The computer 810 may also include other removable/non-removable volatile/nonvolatile computer storage media. By way of example only,
Alternatively, or in addition, the functionality described herein can be performed, at least in part, by one or more hardware logic components. For example, and without limitation, illustrative types of hardware logic components that can be used include Field-programmable Gate Arrays (FPGAs), Application-specific Integrated Circuits (e.g., ASICs), Application-specific Standard Products (e.g., ASSPs), System-on-a-chip systems (SOCs), Complex Programmable Logic Devices (CPLDs), etc.
The drives and their associated computer storage media discussed above and illustrated in
A user may enter commands and information into the computer 810 through input devices such as a keyboard 862, a microphone 863, and a pointing device 861, such as a mouse, trackball or touch pad. Other input devices (not shown) may include a joystick, game pad, satellite dish, scanner, or the like. These and other input devices are often connected to the processing unit 820 through a user input interface 860 that is coupled to the system bus but may be connected by other interface and bus structures. A visual display 891 or other type of display device is also connected to the system bus 821 via an interface, such as a video interface 890. In addition to the monitor, computers may also include other peripheral output devices such as speakers 897 and printer 896, which may be connected through an output peripheral interface 895.
The computer 810 is operated in a networked environment using logical connections (such as a local area network—LAN, or wide area network—WAN or a controller area network—CAN) to one or more remote computers, such as a remote computer 880.
When used in a LAN networking environment, the computer 810 is connected to the LAN 871 through a network interface or adapter 870. When used in a WAN networking environment, the computer 810 typically includes a modem 872 or other means for establishing communications over the WAN 873, such as the Internet. In a networked environment, program modules may be stored in a remote memory storage device.
It should also be noted that the different examples described herein can be combined in different ways. That is, parts of one or more examples can be combined with parts of one or more other examples. All of this is contemplated herein.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts mentioned above are disclosed as example forms of implementing the claims.
The present application is based on and claims the benefit of U.S. provisional patent application Ser. No. 62/874,262, filed on Jul. 15, 2019, and U.S. provisional patent application Ser. No. 62/794,255, filed on Jan. 18, 2019 the contents of which are hereby incorporated by reference in their entirety.
| Number | Date | Country | |
|---|---|---|---|
| 62874262 | Jul 2019 | US | |
| 62794255 | Jan 2019 | US |
