Gas diffusion cloud picture generation method and device, equipment and storage medium

Abstract

The invention provides a gas diffusion cloud picture generation method and device, equipment and a storage medium, relates to the technical field of computers, and is used for improving the accuracy of a gas diffusion cloud picture. The method comprises the following steps: acquiring the concentration of target gas at a plurality of measurement points in a target area and environmental parameters of the target area; the target area comprises a plurality of sub-areas; for a target sub-region in the plurality of sub-regions, determining the concentration of the target gas in the target sub-region according to the concentration of the target gas in an adjacent sub-region adjacent to the target sub-region and the environmental parameters; the target sub-region is a region which does not comprise a measurement point location in the plurality of sub-regions; according to the concentration of the target gas in each sub-region in the plurality of sub-regions, generating a gas diffusion cloud picture of the target region; the gas diffusion cloud picture is used for reflecting the diffusion condition of the target gas in the target area.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular, to a method, device, equipment and storage medium for generating a gas diffusion cloud map. Background Art

[0002] During the transmission of gas, there may be a risk of gas leakage. In order to detect the gas leakage situation in a timely manner, gas detectors can be installed to detect the concentration of gas in the atmospheric environment, and a cloud map of combustible gas can be generated based on the concentration of gas in the atmospheric environment.

[0003] However, the number of gas detectors is limited. In this way, only the concentration of gas at the positions corresponding to the gas detectors can be obtained, and the limited concentration of gas will result in a low accuracy of the generated gas cloud map. Summary of the Invention

[0004] This application provides a method, device, equipment and storage medium for generating a gas diffusion cloud map to improve the accuracy of the gas diffusion cloud map.

[0005] To achieve the above object, this application adopts the following technical solutions:

[0006] In a first aspect, this application provides a method for generating a gas diffusion cloud map, the method includes: obtaining the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; for the target sub-area among the multiple sub-areas, determining the concentration of the target gas in the target sub-area according to the concentration of the target gas in the adjacent sub-area adjacent to the target sub-area and the environmental parameters; the target sub-area is the area that does not include measurement points among the multiple sub-areas; generating a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area of the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion situation of the target gas in the target area.

[0007] Optionally, determining the concentration of the target gas in the target sub-area according to the concentration of the target gas in the adjacent sub-area adjacent to the target sub-area and the environmental parameters includes: determining the diffusion coefficient of the target gas in the target direction according to the environmental parameters; the target direction is the direction from the adjacent sub-area to the target sub-area; determining the concentration of the target gas in the target sub-area based on the concentration of the target gas in the adjacent sub-area and the diffusion coefficient of the target gas in the target direction in the adjacent sub-area.

[0008] Optionally, the environmental parameters include temperature, wind speed, and wind direction. Determining the diffusion coefficient of the target gas in the target direction in adjacent sub-regions based on the environmental parameters includes: determining a basic diffusion coefficient corresponding to the temperature and wind speed in the adjacent sub-region; and correcting the basic diffusion coefficient based on the wind direction and the target direction to obtain the diffusion coefficient of the target gas in the target direction in the adjacent sub-region.

[0009] Optionally, correcting the basic diffusion coefficient based on the wind direction and the target direction includes: determining a correction coefficient corresponding to the angle between the wind direction and the target direction; and correcting the basic diffusion coefficient based on the correction coefficient.

[0010] Optionally, determining the concentration of the target gas in the target sub-region based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the target direction in the adjacent sub-region includes: determining the concentration of the target gas in the target sub-region based on the diffusion formula, the concentration of the target gas in the adjacent sub-region, and the diffusion coefficient of the target gas in the target direction in the adjacent sub-region; the diffusion formula satisfies the following relationship: C = C 0 / (1 + kd); where C represents the concentration of the target gas in the target sub-region, C 0 represents the concentration of the target gas in the adjacent sub-region, k represents the diffusion coefficient of the target gas in the target direction in the adjacent sub-region, and d represents the distance between the adjacent sub-region and the target sub-region.

[0011] Optionally, generating a gas diffusion cloud map of the target region based on the concentration of the target gas in each of multiple sub-regions includes: performing color filling on different sub-regions according to the concentration of the target gas in each of the multiple sub-regions to obtain a diffusion cloud map of the target gas, and the color depth after color filling of different sub-regions is proportional to the concentration of the target gas in the sub-region.

[0012] Based on the technical solution provided by the embodiments of the present application, the gas diffusion cloud map generation device can obtain the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; for the target sub-area among the multiple sub-areas, determine the concentration of the target gas in the target sub-area according to the concentration of the target gas and the environmental parameters in the adjacent sub-area adjacent to the target sub-area; the target sub-area is the area among the multiple sub-areas that does not include measurement points; generate a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area among the multiple sub-areas. In this way, the gas diffusion cloud map generation device can divide the target area by sub-areas, determine the concentration of the target gas in each sub-area, and generate the corresponding cloud map. Since the concentration of the target gas in the target sub-area is determined according to the concentration of the target gas and the environmental parameters in the adjacent sub-areas, in this way, without detecting each sub-area, it is also possible to obtain the concentration of the target gas in a relatively large number of sub-areas, thereby improving the accuracy of the cloud map of the target gas.

[0013] In a second aspect, the present application provides a gas diffusion cloud map generation device, and the generation device includes: an acquisition unit and a processing unit; the acquisition unit is used to acquire the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; the processing unit is used to, for the target sub-area among the multiple sub-areas, determine the concentration of the target gas in the target sub-area according to the concentration of the target gas and the environmental parameters in the adjacent sub-area adjacent to the target sub-area; the target sub-area is the area among the multiple sub-areas that does not include measurement points; the processing unit is further used to generate a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area among the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion situation of the target gas in the target area.

[0014] Optionally, the processing unit is specifically used to: determine the diffusion coefficient of the target gas in the target direction according to the environmental parameters; the target direction is the direction from the adjacent sub-area to the target sub-area; based on the concentration of the target gas in the adjacent sub-area and the diffusion coefficient of the target gas in the adjacent sub-area in the target direction, determine the concentration of the target gas in the target sub-area.

[0015] Optionally, the environmental parameters include temperature, wind speed, and wind speed direction; according to the environmental parameters, the processing unit is specifically further used to: determine the basic diffusion coefficient corresponding to the temperature and wind speed of the adjacent sub-area; based on the wind speed direction and the target direction, correct the basic diffusion coefficient to obtain the diffusion coefficient of the target gas in the adjacent sub-area in the target direction.

[0016] Optionally, the processing unit is specifically further used to: determine the correction coefficient corresponding to the angle between the wind speed direction and the target direction; correct the basic diffusion coefficient based on the correction coefficient.

[0017] Optionally, the processing unit is further specifically configured to: determine the concentration of the target gas in the target sub-region based on the diffusion formula, the concentration of the target gas in the adjacent sub-region, and the diffusion coefficient of the target gas in the target direction in the adjacent sub-region; the diffusion formula satisfies the following relationship: C = C 0 / (1 + kd); where C represents the concentration of the target gas in the target sub-region, C 0 represents the concentration of the target gas in the adjacent sub-region, k represents the diffusion coefficient of the target gas in the target direction in the adjacent sub-region, and d represents the distance between the adjacent sub-region and the target sub-region.

[0018] Optionally, the processing unit is further specifically configured to: perform color filling on different sub-regions according to the concentration of the target gas in each sub-region among multiple sub-regions, to obtain a diffusion cloud map of the target gas, and the color depth after color filling of different sub-regions is proportional to the concentration of the target gas in the sub-region.

[0019] In a third aspect, a gas diffusion cloud map generation device is provided. The gas diffusion cloud map generation device can implement the functions performed by the gas diffusion cloud map generation device in the above aspects or each possible design. The functions can be implemented by hardware. For example, in a possible design, the gas diffusion cloud map generation device may include: a processor and a communication interface. The processor can be used to support the gas diffusion cloud map generation device to implement the functions involved in the above first aspect or any possible design of the first aspect.

[0020] In another possible design, the gas diffusion cloud map generation device may further include a memory, and the memory is used to store the necessary computer execution instructions and data of the gas diffusion cloud map generation device. When the gas diffusion cloud map generation device runs, the processor executes the computer execution instructions stored in the memory, so that the gas diffusion cloud map generation device executes the above first aspect or any possible gas diffusion cloud map generation method of the first aspect.

[0021] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium can be a readable non-volatile storage medium. The computer-readable storage medium stores computer instructions or programs. When it runs on a computer, it enables the computer to execute the above first aspect or any possible gas diffusion cloud map generation method of the above aspect.

[0022] In a fifth aspect, a computer program product containing instructions is provided. When it runs on a computer, it enables the computer to execute the above first aspect or any possible design of the above aspect of the gas diffusion cloud map generation method.

[0023] In a sixth aspect, an electronic device is provided, which includes one or more processors and one or more memories. The one or more memories are coupled to the one or more processors, and the one or more memories are used to store computer program code. The computer program code includes computer instructions. When the one or more processors execute the computer instructions, the electronic device is caused to execute the gas diffusion cloud map generation method as described in the first aspect or any possible design of the first aspect.

[0024] In a seventh aspect, a chip system is provided, which includes a processor and a communication interface. The chip system can be used to implement the functions performed by the gas diffusion cloud map generation device in the first aspect or any possible design of the first aspect. In a possible design, the chip system further includes a memory for storing program instructions and / or data. The chip system can be composed of chips or can include chips and other discrete devices, without limitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 Schematic diagram of a gas diffusion cloud map generation system provided by an embodiment of the present application;

[0026] Figure 2 Schematic diagram of the structure of a data acquisition device provided by an embodiment of the present application;

[0027] Figure 3 Schematic diagram of the structure of another data acquisition device provided by an embodiment of the present application;

[0028] Figure 4 Schematic diagram of the structure of a gas diffusion cloud map generation device provided by an embodiment of the present application;

[0029] Figure 5 Schematic flow chart of a gas diffusion cloud map generation method provided by an embodiment of the present application;

[0030] Figure 6 Schematic diagram of a diffusion cloud map of a target gas provided by an embodiment of the present application;

[0031] Figure 7 Schematic flow chart of another gas diffusion cloud map generation method provided by an embodiment of the present application;

[0032] Figure 8 Schematic flow chart of another gas diffusion cloud map generation method provided by an embodiment of the present application;

[0033] Figure 9 Schematic diagram of a preset walking path provided by an embodiment of the present application;

[0034] Figure 10A structural schematic diagram of a gas diffusion cloud map provided by an embodiment of the present application. Detailed implementation manners

[0035] Next, a gas diffusion cloud map generation method, device, equipment and storage medium provided by an embodiment of the present application will be described in detail with reference to the accompanying drawings.

[0036] The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone.

[0037] The terms "first" and "second" in the specification and drawings of the present application are used to distinguish different objects or different processes for the same object, rather than to describe the specific order of the objects.

[0038] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes other steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or equipment.

[0039] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0040] In the description of the present application, unless otherwise specified, the meaning of "a plurality" refers to two or more.

[0041] During the transmission of gas, there may be a risk of gas leakage. In order to detect the gas leakage situation in a timely manner, gas detectors can be installed to detect the gas concentration in the atmospheric environment and generate a cloud map of the gas according to the gas concentration in the atmospheric environment.

[0042] However, the number of gas detectors is limited. In this way, only the gas concentration at the positions corresponding to the gas detectors can be obtained, and the limited number of gas concentrations will result in a low accuracy of the generated gas cloud map.

[0043] For example, BP30-85 uses the method of sensor array to measure the gas diffusion morphology. A large number of point sensors are required for joint measurement. The installation and testing process is complex and the cost is relatively high. It can only meet the needs of scientific experiments and cannot be applied at the leakage site. At the same time, limited by the number of sensors, the spatial resolution of the existing measurement data can generally only reach the meter level. The intermediate data is generated by interpolation, and the accuracy of the generated combustible gas cloud map is relatively low.

[0044] In view of this, the embodiments of the present application provide a method for generating a gas diffusion cloud map, including: obtaining the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; for the target sub-area among the multiple sub-areas, determining the concentration of the target gas in the target sub-area according to the concentration of the target gas and the environmental parameters in the adjacent sub-areas adjacent to the target sub-area; the target sub-area is the area that does not include measurement points among the multiple sub-areas; generating a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area of the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion situation of the target gas in the target area.

[0045] The following describes a method for generating a gas diffusion cloud map provided by the embodiments of the present application (hereinafter referred to as the generation method) with reference to the accompanying drawings of the specification.

[0046] The generation method provided by the embodiments of the present application can be applied to Figure 1 the gas diffusion cloud map generation system 10 shown in Figure 1 As shown, the gas diffusion cloud map generation system 10 may include a data acquisition device 11 and a gas diffusion cloud map generation device 12. The data acquisition device 11 and the gas diffusion cloud map generation device 12 are communicatively connected. For example, it can be a wireless communication connection.

[0047] Among them, the data acquisition device 11 can be used to collect the concentration and environmental parameters of the target gas in the atmospheric environment at different positions, and send the concentration and environmental parameters of the target gas at different positions to the gas diffusion cloud map generation device 12. For example, the data acquisition device can be a sensor.

[0048] The gas diffusion cloud map generation device 12 can generate a gas diffusion cloud map of the target gas based on the concentration and environmental parameters of the target gas. For example, the gas diffusion cloud map generation device 12 can be an electronic device with processing functions such as a computer or a server. For example, the gas diffusion cloud map generation device 12 can be a computer, a server, etc. Among them, the server can be a single server, or it can also be a server cluster composed of multiple servers. In some embodiments, the server cluster can also be a distributed cluster. The embodiments of the present application do not limit the specific technology, specific quantity, and specific device form of the gas diffusion cloud map generation device 12.

[0049] It should be noted that Figure 1 it is only an exemplary architecture diagram. Except for Figure 1 the functional units shown therein, this communication system may further include other functional units, which are not limited in the embodiments of the present application.

[0050] Figure 2 The structural schematic diagram of a data acquisition device 11 is shown. As Figure 2 shown, the data acquisition device 11 may include a positioning unit, a gas detection unit, and an environmental parameter detection unit.

[0051] Among them, the positioning unit is used to determine the position of the data acquisition device. For example, it may be a positioning antenna (such as a Beidou antenna).

[0052] Among them, the gas detection unit is used to detect the concentration of the gas to be measured. For example, it may be a gas detection sensor.

[0053] Among them, the environmental parameter detection unit is used to detect environmental parameters. For example, it may be a temperature sensor, a wind speed sensor, etc.

[0054] Figure 3 The structural schematic diagram of another data acquisition device is shown. As Figure 3 shown, the data acquisition device may include a positioning unit 1, a wind speed detection unit 2, a telescopic rod 3, a gas detection unit 4, a temperature detection unit 5, and a mobile platform.

[0055] Among them, the length and adjustment step of the telescopic rod 3 can be set as needed. For example, the length of the telescopic rod 3 may be 0.1 meter (m) - 20 m. The adjustment step may be 1 millimeter (mm) - 50 cm.

[0056] Among them, the positioning unit 1 is located at the top of the data acquisition device, and the gas detection unit 4 is located below the positioning unit 1. The wind speed detection unit 2 and the temperature detection unit 5 may be set at the same height as the gas detection unit 4, or may be set below the gas detection unit 4.

[0057] It should be noted that the type of the gas detection unit 4 can be replaced according to the type of the gas to be detected. For example, for methane gas, a fixed chamber TDLAS detection sensor is generally used to achieve high-precision measurement and large-range measurement, and can achieve point-type high-precision gas concentration measurement at the parts per million (ppm) level, and the measurement range can achieve measurement from 0 - 100% of the Lower Explosive Limit (LEL). For non-infrared absorption gases such as hydrogen, other types of high-precision sensors such as optical fibers and catalytic combustion can be used.

[0058] In specific implementation, Figures 1-3 each device in Figure 4 can adopt the composition structure shown in Figure 4 or include the components shown in Figure 4 FIG. 150 is a schematic structural diagram of a gas diffusion cloud map generation device provided by an embodiment of the present application. The generation device 20 includes a processor 201, a communication interface 202, a communication line 203, and a memory 204.

[0059] Among them, the processor 201 may be a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 201 may also be other devices with processing functions, such as circuits, devices, or software modules, without limitation. In one example, the processor 201 may include one or more CPUs. For example, Figure 4 the CPU0 and CPU1 in

[0060] The communication interface 202 is used to perform data processing with other devices or other data processing networks. The other data processing networks may be an Ethernet, a radio access network (RAN device), a wireless local area network (WLAN), etc. The data processing interface may be a module, a circuit, a data processing interface, or any device capable of implementing data processing.

[0061] The communication line 203 is used to transmit messages between the components included in the communication system.

[0062] The memory 204 is used to store instructions. Among them, the instructions may be computer programs.

[0063] Among them, the memory 204 can be a read-only memory (ROM) or other types of static storage devices that can store static messages and / or instructions, or a random access memory (RAM) device or other types of dynamic storage devices that can store messages and / or instructions. It can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, without limitation.

[0064] It should be noted that the memory 204 can exist independently of the processor 201 or be integrated with the processor 201. The memory 204 can be used to store instructions, program codes, or some network data, etc. The memory 204 can be located inside the generating device or outside the generating device, without limitation. The processor 201 is used to execute the instructions stored in the memory 204 to implement the generating method provided in the following embodiments of the present application.

[0065] As an alternative implementation, the generating device includes multiple processors. For example, in addition to Figure 4 the processor 201, it can also include a processor 207.

[0066] As an alternative implementation, the generating device further includes an output device 205 and an input device 206. Exemplarily, the input device 206 is a device such as a keyboard, a mouse, a microphone, or a joystick, and the output device 205 is a device such as a display screen or a speaker.

[0067] In the embodiments of the present application, the chip system can be composed of chips or can include chips and other discrete devices.

[0068] In addition, actions, terms, etc. involved between the embodiments of the present application can be referred to each other without limitation. The message names or parameter names in the messages exchanged between the devices in the embodiments of the present application are only examples, and other names can also be used in specific implementations without limitation.

[0069] The generating method provided in the embodiments of the present application can be applied to the generating device shown in the foregoing Figure 3 or Figure 4 as shown.

[0070] It should be noted that the execution subject of the generation method provided in this application is a server, or it can also be a chip or a system-on-chip in the server, etc., without limitation.

[0071] Figure 5 FIG. is a schematic flowchart of a method for generating a gas diffusion cloud map provided in an embodiment of the present application. As Figure 5 shown, the method includes the following S301-S303:

[0072] S301. Obtain the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area.

[0073] Among them, the target area includes multiple sub-areas. The target gas can be set as needed. For example, it can be methane gas, hydrogen gas, natural gas, etc.

[0074] In one example, one sub-area can represent a sub-area. The sub-area can be expressed as an arbitrary cubic area within the target area.

[0075] Among them, the target area can be set in advance. For example, it can be an area where the distance from the leakage source of the target gas is less than the first threshold. The first threshold can be 1000 meters, 2000 meters, etc.

[0076] As a possible implementation manner, the gas diffusion cloud map generation device is connected to the data acquisition device. The gas diffusion cloud map generation device can receive the acquisition information from the data acquisition device and obtain the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area based on the acquisition information.

[0077] In one example, the acquisition information includes the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area.

[0078] In some embodiments, the acquisition information can also include the concentration of the target gas in each sub-area of the target area.

[0079] In practical applications, the structural schematic diagram of the data acquisition device can be as Figure 3 shown. The data acquisition device is configured with a gas detection unit, and the data acquisition device can detect the concentration of the target gas based on the gas detection unit. The data acquisition device is also configured with a positioning unit to detect the position of each target sub-area.

[0080] The data acquisition device can send the position of each target sub-area and the concentration of the target gas in each target sub-area to the gas diffusion cloud map generation device; correspondingly, the gas diffusion cloud map generation device receives the position of each target sub-area and the concentration of the target gas in each target sub-area.

[0081] It should be noted that the concentration of the target gas in the target sub-region can be the concentration of the three-dimensional target gas. In the case where the structural schematic diagram of the data acquisition device is as Figure 3 shown, the data acquisition device can collect the concentration of the target gas in the target sub-regions at different heights at the same position through the telescopic rod. By achieving the collection at different heights at the same position in one move, three-dimensional full coverage of the space to be measured can be realized.

[0082] S302. For the target sub-region among multiple sub-regions, determine the concentration of the target gas in the target sub-region according to the concentration of the target gas in the adjacent sub-region adjacent to the target sub-region and the environmental parameters.

[0083] Among them, the target sub-region is the region among multiple sub-regions that does not include the measurement points.

[0084] As a possible implementation manner, the gas diffusion cloud map generation device can determine the diffusion coefficient of the target gas in the target direction according to the environmental parameters, and determine the concentration of the target gas in the target sub-region based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction.

[0085] Among them, the target direction is the direction from the adjacent sub-region to the target sub-region.

[0086] It should be noted that the process of determining the diffusion coefficient of the target gas in the target direction and determining the concentration of the target gas in the target sub-region based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction can refer to the description in the subsequent part and will not be elaborated here.

[0087] S303. Generate a gas diffusion cloud map of the target region according to the concentration of the target gas in each sub-region among multiple sub-regions.

[0088] Among them, the gas diffusion cloud map is used to reflect the diffusion situation of the target gas in the target region.

[0089] As a possible implementation manner, the gas diffusion cloud map generation device can perform color filling on different sub-regions according to the concentration of the target gas in each sub-region among multiple sub-regions to obtain the diffusion cloud map of the target gas.

[0090] Among them, the color depth after color filling of different sub-regions is proportional to the concentration of the target gas in the sub-region.

[0091] In some embodiments, different sub-regions with different concentrations of the target gas correspond to different colors.

[0092] In one example, the gas diffusion cloud map generation device is provided with multiple preset concentration intervals and the corresponding colors for each preset concentration interval. The gas diffusion cloud map generation device can determine the colors corresponding to different sub-regions based on the preset concentration intervals in which the concentrations of the target gas in different sub-regions are located, and perform color filling on different sub-regions to obtain the diffusion cloud map of the target gas.

[0093] For example, the preset concentration intervals can include a first concentration interval, a second concentration interval, and a third concentration interval. The color corresponding to the first concentration interval can be color a, the color corresponding to the second concentration interval can be color b, and the color corresponding to the third concentration interval can be color c.

[0094] Exemplarily, the schematic diagram of the diffusion cloud map of the target gas can be as Figure 6 shown.

[0095] Among them, the diffusion cloud map of the target gas can also include the marked leakage source and the wind speed direction. The leakage source is determined based on the reverse direction of the diffusion direction of the target gas.

[0096] Among them, the determination process of the diffusion direction of the target gas includes: the gas diffusion cloud map generation device determines the direction from high to low of the concentration of the target gas based on the quadtree encoding method, and determines the direction from high to low of the concentration of the target gas as the diffusion direction of the target gas.

[0097] In some embodiments, in order to improve the richness of the diffusion cloud map of the target gas, the gas diffusion cloud map generation device can draw contour boundaries for the preset characteristic concentration or the concentration that needs to be alarmed to form a concentration diffusion plume.

[0098] Among them, the preset characteristic concentration can be set according to needs. For example, it can be 10%, 20%, 50%, 60%, etc.

[0099] Based on the technical solution provided by the embodiments of the present application, the gas diffusion cloud map generation device can obtain the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; for the target sub-area among the multiple sub-areas, according to the concentration of the target gas and the environmental parameters in the adjacent sub-areas adjacent to the target sub-area, determine the concentration of the target gas in the target sub-area; the target sub-area is the area that does not include measurement points among the multiple sub-areas; according to the concentration of the target gas in each sub-area among the multiple sub-areas, generate the gas diffusion cloud map of the target area. In this way, the gas diffusion cloud map generation device can divide the target area by sub-areas, determine the concentration of the target gas in each sub-area, and generate the corresponding cloud map. Since the concentration of the target gas in the target sub-area is determined according to the concentration of the target gas and the environmental parameters in the adjacent sub-areas, in this way, without detecting each sub-area, the concentration of the target gas in a relatively large number of sub-areas can also be obtained, thereby improving the accuracy of the cloud map of the target gas.

[0100] In a possible embodiment, Figure 7 is a schematic flowchart of another gas diffusion cloud map generation method provided by the embodiments of the present application. As shown in Figure 7 shown, in order to obtain the concentration of the target gas in multiple target sub-areas, the method further includes the following S401-S402:

[0101] S401. Determine the adjacent sub-areas adjacent to the target sub-area.

[0102] Among them, the adjacent sub-area is a sub-area whose distance from the target sub-area is less than the distance threshold. The distance threshold can be set as needed. For example, it can be 1 meter, 0.5 meter, etc.

[0103] As a possible implementation manner, the gas diffusion cloud map generation device can obtain the position information of each sub-area, and determine the sub-areas whose distance from the target sub-area is less than the distance threshold as the adjacent sub-areas adjacent to the target sub-area.

[0104] In practical applications, the number of target sub-areas of the adjacent sub-areas can be 1 or multiple, without limitation.

[0105] As another possible implementation manner, the gas diffusion cloud map generation device can obtain the position information of each sub-area, and determine the sub-area with the smallest distance from the target sub-area as the adjacent sub-area adjacent to the target sub-area.

[0106] As another possible implementation manner, the gas diffusion cloud map generation device can obtain the position information of each sub-area, and determine the sub-areas whose distance from the target sub-area is less than the distance threshold from multiple sub-areas with the same abscissa as the target sub-area as the adjacent sub-areas of the target sub-area.

[0107] In one example, when the sub-region coordinates are two-dimensional coordinates, the sub-region coordinates of the target sub-region are (5, 5). Multiple sub-regions with the same abscissa as the target sub-region and their corresponding sub-region coordinates may include: sub-region a1(5, 1), sub-region a2(5, 3), sub-region a3(5, 7), sub-region a4(5, 9), sub-region a4(5, 11). If the distance threshold is 5, the adjacent sub-regions of the target sub-region may be sub-region a1(5, 1), sub-region a2(5, 3), sub-region a3(5, 7), sub-region a5(5, 9).

[0108] As another possible implementation, the gas diffusion cloud map generation device may obtain the position information of each sub-region, and determine, from multiple sub-regions with the same ordinate as the target sub-region, the sub-regions whose distance from the target sub-region is less than the distance threshold as the adjacent sub-regions of the target sub-region.

[0109] In one example, the sub-region coordinates of the target sub-region are (5, 5). Multiple sub-regions with the same ordinate as the target sub-region and their corresponding sub-region coordinates may include: sub-region b1(1, 5), sub-region b2(3, 5), sub-region b3(7, 5), sub-region b4(9, 5), sub-region b5(11, 5). If the distance threshold is 5, the adjacent sub-regions of the target sub-region may be sub-region b1(5, 1), sub-region b2(5, 3), sub-region b3(5, 7), sub-region b4(5, 9).

[0110] In some embodiments, when the sub-region coordinates are three-dimensional coordinates, the sub-region coordinates of the target sub-region are (5, 5, 1). Multiple target sub-regions with the same abscissa as the target sub-region and their corresponding sub-region coordinates may include: sub-region b1(5, 1, 1), sub-region b2(5, 3, 1), sub-region b3(5, 7, 1), sub-region b4(5, 9, 1), sub-region b4(5, 11, 1). If the distance threshold is 5, the adjacent sub-regions of the target sub-region may be sub-region b1(5, 1, 1), sub-region b2(5, 3, 1), sub-region b3(5, 7, 1), sub-region b5(5, 9, 1).

[0111] S402. Determine the concentration of the target gas in the target sub-region based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction.

[0112] Among them, the diffusion coefficient is used to characterize the diffusion degree of the target gas. The target direction is the direction from the target sub-region to the adjacent sub-region.

[0113] As a possible implementation, the gas diffusion cloud map generation device may determine the concentration of the target gas in the target sub-region based on the diffusion formula, the concentration of the target gas in the adjacent sub-region, and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction.

[0114] It should be noted that the diffusion formula may be the following formula (1):

[0115] C = C 0 / (1 + kd) Formula (1)

[0116] Wherein, C represents the concentration of the target gas in the target sub-region, C 0 represents the concentration of the target gas in the adjacent sub-region, k represents the diffusion coefficient of the target gas in the adjacent sub-region in the target direction, and d represents the distance between the target sub-region and the adjacent sub-region.

[0117] In some embodiments, when the number of adjacent sub-regions is multiple, k may represent the average value of the diffusion coefficients of the target gas in the adjacent sub-regions in the target direction.

[0118] In some embodiments, when the number of adjacent sub-regions is multiple, the gas diffusion cloud map generation device may substitute the meteorological parameters and the concentration of the target gas of each adjacent sub-region into Formula (1) to obtain the concentrations of multiple target gases, and determine the average value of the concentrations of multiple target gases as the concentration of the target gas in the target sub-region.

[0119] In some embodiments, the gas diffusion cloud map generation device may determine the concentrations of the target gases in the two upper adjacent sub-regions and the concentrations of the target gases in the two lower adjacent sub-regions among the multiple sub-regions with the same abscissa as the target sub-region, and perform smoothing processing on the concentrations of the target gases in the two upper adjacent sub-regions and the concentrations of the target gases in the two lower adjacent sub-regions to obtain the concentration of the target gas in the target sub-region.

[0120] Wherein, the two upper adjacent sub-regions refer to the two sub-regions with the smallest ordinate among the sub-regions whose ordinate is greater than the ordinate of the target sub-region. The two lower adjacent sub-regions refer to the two sub-regions with the largest ordinate among the multiple sub-regions whose ordinate is less than the ordinate of the target sub-region.

[0121] In a possible embodiment, the generation method provided by the embodiments of the present application, as Figure 8 shown, in order to determine the diffusion coefficient of the target gas in the adjacent sub-region in the target direction, the present application may further include the following S501-S502:

[0122] S501. Determine the basic diffusion coefficient corresponding to the temperature and wind speed of the adjacent sub-region.

[0123] Among them, the environmental parameters may include temperature, wind speed, and wind direction.

[0124] As a possible implementation, the gas diffusion cloud map generation device may obtain the environmental parameters of adjacent sub-regions through a data acquisition device, and determine, from the first mapping relationship, the basic diffusion coefficient that has a mapping relationship with the temperature and wind speed of the adjacent sub-regions, and determine the basic diffusion coefficient with the mapping relationship as the basic diffusion coefficient of the adjacent sub-regions.

[0125] In one example, the structural schematic diagram of the data acquisition device may be as Figure 3 shown. The data acquisition device is configured with a wind speed detection unit, and the configuration of the data acquisition device may detect the wind speed magnitude and wind direction based on the wind speed detection unit. The data acquisition device is also configured with a positioning unit to detect the position of each adjacent sub-region.

[0126] The data acquisition device may send the position of each adjacent sub-region and the environmental parameters of each adjacent sub-region to the gas diffusion cloud map generation device; correspondingly, the gas diffusion cloud map generation device receives the position of each adjacent sub-region and the environmental parameters of each adjacent sub-region, and determines the environmental parameters of the adjacent sub-regions with the same position as the adjacent sub-region position as the environmental parameters of the adjacent sub-regions.

[0127] It should be noted that the environmental parameters of the sub-region may be three-dimensional environmental parameters. In the case where the structural schematic diagram of the data acquisition device is as Figure 3 shown, the data acquisition device may collect the environmental parameters at different heights at the same position through a telescopic rod. Realize the acquisition of different heights at the same position in one move, and achieve three-dimensional full coverage of the space to be measured.

[0128] In practical applications, in the case where the structural schematic diagram of the data acquisition device is as Figure 3 shown, the data acquisition device may collect the concentration of the target gas and environmental parameters at multiple measurement points in the target area according to a preset walking path.

[0129] In one example, the preset walking path may be as Figure 9 shown. The preset walking path may include multiple marks. One mark may correspond to one measurement point. The data acquisition device may start mapping from the edge of the mark "1" in the target area and move sequentially in ascending order of the marks to collect the concentration of the target gas and environmental parameters at multiple measurement points in the target area.

[0130] In practical applications, the data acquisition device can start mapping from the northeast corner edge within the target area, move in the directions from north to south and from east to west, with a moving interval of 10 cm according to the acquisition accuracy requirements. The telescopic rod changes at an interval of 1 cm, and the maximum measurement height is 10 m. The sampling interval is set to 5 s according to the frequency time of the gas sensor.

[0131] In some embodiments, in places where there is no ground-based augmentation network, a multi-station method can be used to establish a stable reference station to provide differential reference for the moving operation target to achieve real-time centimeter (cm)-level to millimeter (mm)-level position acquisition accuracy.

[0132] It should be noted that the method of collecting the concentration and environmental parameters of the target gas at multiple measurement points in the target area can also be other collection methods, such as starting mapping from the northwest corner edge within the target area and moving in the directions from north to south and from west to east, etc., which are not limited herein.

[0133] In some embodiments, the environmental parameters can also include air pressure, and the first mapping relationship can include the mapping relationship between different temperatures, different wind speeds, different air pressures and the basic diffusion coefficient. The gas diffusion cloud map generation device can determine, from the first mapping relationship, the basic diffusion coefficient that has a mapping relationship with the temperature, wind speed, and air pressure of the adjacent sub-region, and determine the basic diffusion coefficient of the adjacent sub-region as the basic diffusion coefficient having the mapping relationship.

[0134] S502. Based on the wind speed direction and the target direction, correct the basic diffusion coefficient to obtain the diffusion coefficient of the target gas in the target direction of the adjacent sub-region.

[0135] In one example, the process of correcting the basic diffusion coefficient can include the following S1 - S3:

[0136] S1. Determine the included angle between the wind speed direction and the target direction.

[0137] In one example, when the wind speed direction is due east and the target direction is 45 degrees north of due east, the included angle between the wind speed direction and the target direction can be 45 degrees.

[0138] When the wind speed direction is due east and the target direction is 45 degrees west of due north, the included angle between the wind speed direction and the target direction can be 135 degrees.

[0139] When the wind speed direction is due east and the target direction is 45 degrees south of due east, the included angle between the wind speed direction and the target direction can be 45 degrees.

[0140] S2. Determine the correction coefficient corresponding to the included angle between the wind speed direction and the target direction.

[0141] In one example, the gas diffusion cloud map generation device may determine a correction coefficient corresponding to the included angle between the wind speed direction and the target direction based on the included angle and the second mapping relationship.

[0142] Among them, the second mapping relationship includes the mapping relationship between different included angles and different diffusion correction coefficients.

[0143] In one example, the gas diffusion cloud map generation device may determine a diffusion correction coefficient having a mapping relationship with the included angle from the second mapping relationship, and determine the diffusion correction coefficient having a mapping relationship with the included angle as the diffusion correction coefficient of the target gas in the target direction of the adjacent sub-region.

[0144] S3. Correct the basic diffusion coefficient based on the diffusion correction coefficient of the target gas in the target direction of the adjacent sub-region to obtain the diffusion coefficient of the target gas in the target direction of the adjacent sub-region.

[0145] In one example, the gas diffusion cloud map generation device may determine the product of the diffusion correction coefficient and the basic diffusion coefficient, and determine the product of the diffusion correction coefficient and the basic diffusion coefficient as the diffusion coefficient of the target gas in the target direction of the adjacent sub-region.

[0146] In yet another example, the gas diffusion cloud map generation device may determine the difference between the diffusion correction coefficient and the basic diffusion coefficient, and determine the difference between the diffusion correction coefficient and the basic diffusion coefficient as the diffusion coefficient of the target gas in the target direction of the adjacent sub-region.

[0147] The embodiments of the present application may divide the server into functional modules or functional units according to the above method examples. For example, each functional module or functional unit may be corresponding to each function, or two or more functions may be integrated into two modules. The above integrated modules may be implemented in the form of hardware, or in the form of software functional modules or functional units. Among them, the division of modules or units in the embodiments of the present application is illustrative, and is only a logical function division. There may be other division methods in actual implementation.

[0148] In the case of dividing each functional module corresponding to each function, Figure 10 FIG. shows a schematic structural diagram of a gas diffusion cloud map generation device 600. The gas diffusion cloud map generation device 600 may be the gas diffusion cloud map generation device in the toughness ratio determination system, or may be a chip, a processor, etc. applied to the gas diffusion cloud map generation device. The gas diffusion cloud map generation device 600 may be used to execute the functions of the gas diffusion cloud map generation device involved in the above embodiments. As Figure 10As shown, the gas diffusion cloud map generation device 600 includes: an acquisition unit 601 and a processing unit 602; the acquisition unit 601 is used to acquire the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; the processing unit 602 is used to determine the concentration of the target gas in the target sub-area according to the concentration of the target gas and the environmental parameters in the adjacent sub-areas adjacent to the target sub-area for the target sub-area among the multiple sub-areas; the target sub-area is the area that does not include measurement points among the multiple sub-areas; the processing unit 602 is further used to generate a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area among the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion situation of the target gas in the target area.

[0149] Optionally, the processing unit 602 is specifically used to: determine the diffusion coefficient of the target gas in the target direction according to the environmental parameters; the target direction is the direction from the adjacent sub-area to the target sub-area; based on the concentration of the target gas in the adjacent sub-area and the diffusion coefficient of the target gas in the target direction of the adjacent sub-area, determine the concentration of the target gas in the target sub-area.

[0150] Optionally, the environmental parameters include temperature, wind speed, and wind speed direction; according to the environmental parameters, the processing unit 602 is specifically further used to: determine the basic diffusion coefficient corresponding to the temperature and wind speed of the adjacent sub-area; based on the wind speed direction and the target direction, correct the basic diffusion coefficient to obtain the diffusion coefficient of the target gas in the target direction of the adjacent sub-area.

[0151] Optionally, the processing unit 602 is specifically further used to: determine the correction coefficient corresponding to the angle between the wind speed direction and the target direction; correct the basic diffusion coefficient based on the correction coefficient.

[0152] Optionally, the processing unit 602 is specifically further used to: determine the concentration of the target gas in the target sub-area based on the diffusion formula, the concentration of the target gas in the adjacent sub-area, and the diffusion coefficient of the target gas in the target direction of the adjacent sub-area; the diffusion formula satisfies the following relationship: C = C 0 / (1 + kd); where, C represents the concentration of the target gas in the target sub-area, C 0 represents the concentration of the target gas in the adjacent sub-area, k represents the diffusion coefficient of the target gas in the target direction of the adjacent sub-area, and d represents the distance between the adjacent sub-area and the target sub-area.

[0153] Optionally, the processing unit 602 is specifically further used to: perform color filling on different sub-areas according to the concentration of the target gas in each sub-area among the multiple sub-areas to obtain the gas diffusion cloud map of the target gas, and the color depth after color filling of different sub-areas is proportional to the concentration of the target gas in the sub-area.

[0154] From the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the system, device, and unit described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be elaborated here.

[0155] The embodiments of the present application provide a computer program product containing instructions. When the computer program product runs on a computer, it causes the computer to execute the gas diffusion cloud map generation method in the foregoing method embodiments.

[0156] The embodiments of the present application further provide a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the gas diffusion cloud map generation device executes the instructions, the gas diffusion cloud map generation device executes each step executed in the method flow shown in the foregoing method embodiments.

[0157] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium well known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). In the embodiments of the present application, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or combined with an instruction execution system, device, or component.

[0158] As described above, it is only the specific implementation manner of this application. However, the protection scope of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A method for generating a gas diffusion cloud map, characterized in that: The method comprises: Acquiring the concentration of the target gas at multiple measurement points in a target area and the environmental parameters of the target area; the target area includes multiple sub-areas; For a target sub-region among the multiple sub-regions, the concentration of the target gas in the target sub-region is determined according to the concentration of the target gas in an adjacent sub-region adjacent to the target sub-region and the environmental parameter; the target sub-region is a region among the multiple sub-regions that does not include a measurement point; A gas diffusion cloud map of the target area is generated according to the concentration of the target gas in each of the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion of the target gas in the target area.

2. The method according to claim 1, characterized in that The step of determining the concentration of the target gas in the target sub-region according to the concentration of the target gas in an adjacent sub-region adjacent to the target sub-region and the environmental parameter comprises: Determining, according to the environmental parameters, a diffusion coefficient of the target gas in a target direction; the target direction is a direction from the adjacent sub-region to the target sub-region; The concentration of the target gas in the target sub-region is determined based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction.

3. The method according to claim 2, characterized in that The environmental parameters include temperature, wind speed, and wind speed direction; and determining the diffusion coefficient of the target gas in the adjacent sub-area in the target direction according to the environmental parameters includes: determining a basic diffusion coefficient corresponding to the temperature of the adjacent sub-region and the wind speed; The basic diffusion coefficient is corrected based on the wind speed direction and the target direction to obtain the diffusion coefficient of the target gas in the adjacent sub-area in the target direction.

4. The method according to claim 3, characterized in that The correcting the basic diffusion coefficient based on the wind speed direction and the target direction includes: determining a correction coefficient corresponding to an angle between the wind speed direction and the target direction; The basic diffusion coefficient is corrected based on the correction factor.

5. The method according to any one of claims 2 to 4, characterized in that: The determining the concentration of the target gas in the target sub-region based on the concentration of the target gas in the adjacent sub-region and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction includes: Determine the concentration of the target gas in the target sub-region based on a diffusion formula, the concentration of the target gas in the adjacent sub-region, and the diffusion coefficient of the target gas in the adjacent sub-region in the target direction; The diffusion formula satisfies the following relationship: C = C0 / (1+kd); Wherein, C represents the concentration of the target gas in the target sub-region, C0 represents the concentration of the target gas in the adjacent sub-region, k represents the diffusion coefficient of the target gas in the adjacent sub-region in the target direction, and d represents the distance between the adjacent sub-region and the target sub-region.

6. The method according to claim 1, characterized in that The step of generating a gas diffusion cloud map of the target area according to the concentration of the target gas in each of the multiple sub-areas comprises: According to the concentration of the target gas in each of the multiple sub-regions, the different sub-regions are color-filled to obtain a diffusion cloud map of the target gas, and the color depth of the different sub-regions after color filling is proportional to the concentration of the target gas in the sub-region.

7. A gas diffusion cloud map generating device, characterized in that: The generating device comprises: an acquiring unit and a processing unit; The acquisition unit is used to acquire the concentration of the target gas at multiple measurement points in the target area and the environmental parameters of the target area; the target area includes multiple sub-areas; The processing unit is used to determine the concentration of the target gas in the target sub-region according to the concentration of the target gas in an adjacent sub-region adjacent to the target sub-region and the environmental parameter for the target sub-region among the multiple sub-regions; the target sub-region is a region among the multiple sub-regions that does not include the measurement point; The processing unit is further used to generate a gas diffusion cloud map of the target area according to the concentration of the target gas in each sub-area of ​​the multiple sub-areas; the gas diffusion cloud map is used to reflect the diffusion of the target gas in the target area.

8. A computer-readable storage medium, characterized in that: The readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device, characterized in that: include: A processor, a memory and a communication interface; wherein the communication interface is used for the electronic device to communicate with other devices or networks; The memory is used to store one or more programs, which include computer-executable instructions. When the electronic device is running, the processor executes the computer-executable instructions stored in the memory to enable the electronic device to perform any one of claims 1-6.

10. A computer program product, comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

Images