CN-121981741-A - Method, device, equipment and medium for tracing greenhouse gas emission source

Abstract

The application provides a tracing method, device, equipment and medium for greenhouse gas emission sources, which are characterized by acquiring position distribution information of candidate emission sources in a target industrial park, position distribution information of monitoring points on the periphery of the target industrial park and wind vector information of environments where the monitoring points are located, constructing a diffusion association graph according to the wind vector information and relative position relations between the candidate emission sources and the monitoring points, representing association relations between each monitoring point and the target candidate emission sources located in the upwind direction of the monitoring points, constructing a multi-source gas concentration model by utilizing the diffusion association graph and the wind vector information of each monitoring point, determining the emission rate of each candidate emission source based on the multi-source gas concentration model, and further determining the target emission source for discharging greenhouse gas. The embodiment of the application can improve the tracing efficiency.

Inventors

• LU XI
• CHENG KEN
• XU CHUN
• Chen Binling
• FANG JUNJUN
• GAO LAN
• DU LIFENG

Assignees

• 清华大学

Dates

Publication Date

20260505

Application Date

20260403

Claims (15)

1. 1. A method for tracing a greenhouse gas emission source, comprising: acquiring position distribution information of each candidate emission source in a target industrial park, position distribution information of each monitoring point on the periphery of the target industrial park and wind vector information of the environment where each monitoring point is located; According to the wind vector information and the relative position relation between each candidate emission source and each monitoring point, constructing a diffusion association graph, wherein the diffusion association graph is used for representing the association relation between each monitoring point and a target candidate emission source, and the target candidate emission source is a candidate emission source positioned in the upwind direction of the monitoring point; Constructing a multi-source gas concentration model by utilizing the diffusion association diagram and wind vector information of the environment where each monitoring point is located, wherein the multi-source gas concentration model is used for representing a mapping relation between greenhouse gas concentration at any monitoring point and emission rate of a corresponding target candidate emission source; And determining emission rates respectively corresponding to the candidate emission sources based on the multi-source gas concentration model, and determining a target emission source for emitting greenhouse gases from a plurality of candidate emission sources based on the emission rates respectively corresponding to the candidate emission sources.
2. 2. The method of claim 1, wherein the wind vector information includes wind direction, and wherein constructing a diffusion correlation map based on the wind vector information and a relative positional relationship between each candidate emission source and each monitoring point, respectively, comprises: pairing each candidate emission source with each monitoring point to generate a plurality of candidate pairs; For each candidate pair, determining an indicated value of a downwind direction indicating factor corresponding to the candidate according to the relative position relation between the candidate emission source and the monitoring point in the candidate pair and the wind direction at the monitoring point, wherein the indicated value of the downwind direction indicating factor is used for indicating whether the monitoring point in the candidate pair is positioned in the downwind direction of the candidate emission source or not; And constructing the diffusion association graph according to the indication values of the downwind direction indication factors of each candidate pair.
3. 3. The method of claim 2, wherein constructing the diffusion correlation map from the indication values of the downwind direction indication factors of each candidate pair comprises: For each candidate pair, if the value of the downwind direction indicating factor of the candidate pair indicates that a monitoring point in the candidate pair is located in the downwind direction of a corresponding candidate emission source, a connecting edge is created between the monitoring point and the candidate emission source; and obtaining the diffusion association graph based on the monitoring points and the candidate emission sources in each candidate pair and each created connecting edge.
4. 4. The method according to claim 2 or 3, wherein the wind vector information includes a horizontal wind speed, and the constructing a multi-source gas concentration model using the diffusion correlation map and the wind vector information of the environment in which each monitoring point is located includes: determining the horizontal wind speed at each candidate emission source based on the horizontal wind speed at each monitoring point by using the diffusion correlation diagram; Aiming at each monitoring point, a single-source gas concentration model is constructed based on the horizontal wind speed at the target candidate emission source by utilizing a Gaussian smoke plume diffusion theory and a diffusion parameter theory, wherein the single-source gas concentration model is used for representing the relationship between the greenhouse gas concentration and the gas emission rate of the single target candidate emission source at the monitoring point; and constructing the multi-source gas concentration model based on the single-source gas concentration models respectively corresponding to the target candidate emission sources.
5. 5. The method of claim 4, wherein the single source gas concentration model is determined based on an emissions source delivery term for reflecting a concentration dilution process of greenhouse gases during diffusion, a lateral diffusion term for reflecting a concentration distribution of greenhouse gases diffused in a lateral direction, a vertical diffusion term for reflecting a concentration distribution of greenhouse gases diffused in a vertical direction, and a ground reflection term for reflecting a total reflection effect of ground on greenhouse gases.
6. 6. The method of claim 1, wherein determining respective emission rates for each candidate emission source based on the multi-source gas concentration model comprises: constructing a loss function based on the multi-source gas concentration model, wherein the loss function is used for representing errors between measured gas concentrations and predicted concentrations at all monitoring points, and the predicted concentrations are determined based on the multi-source gas concentration model; and acquiring preset constraint conditions, and determining the emission rates corresponding to the candidate emission sources respectively based on the constraint conditions and the loss function.
7. 7. The method of claim 1, wherein the location distribution information for each of the candidate emission sources is determined by: Acquiring satellite images for the target industrial park; and identifying the satellite image to obtain the position distribution information of each candidate emission source.
8. 8. The method of claim 7, wherein the location distribution information for each monitoring point is determined by: Determining the path traffic state outside the target industrial park according to the satellite image; determining a target navigation mode corresponding to the path traffic state according to the path traffic state, and controlling navigation monitoring equipment to move along the periphery of the target industrial park by adopting the target navigation mode to obtain a monitoring path; and determining the position distribution information of each monitoring point based on the monitoring path.
9. 9. The method of claim 8, wherein the path traffic state comprises a surrounding traffic state, the target navigational mode comprises a surrounding navigational mode, wherein the controlling the navigational monitoring device to move along the periphery of the target industrial park to obtain the monitored path comprises: The navigation monitoring equipment is controlled to carry out surrounding movement along a closed path surrounding the target industrial park for a plurality of times within a preset total surrounding time to obtain a plurality of monitoring paths; the determining the position distribution information of each monitoring point based on the monitoring path comprises the following steps: and determining the position distribution information of each monitoring point based on the plurality of monitoring paths.
10. 10. The method of claim 9, wherein the path traffic state comprises a non-wrap-around traffic state and the target navigational pattern comprises a turn-back navigational pattern, wherein the controlling the navigational monitoring device to move along the periphery of the target industrial park to obtain the monitored path comprises: The method comprises the steps of controlling the navigation monitoring equipment to carry out turning-back movement along a target passable path for a plurality of times within a preset total turning-back time to obtain a plurality of monitoring paths, wherein the target passable path is the longest passable path at the periphery of the target industrial park, and the time of each turning-back movement is within the preset turning-back time; the determining the position distribution information of each monitoring point based on the monitoring path comprises the following steps: and determining the position distribution information of each monitoring point based on the plurality of monitoring paths.
11. 11. The method according to claim 9 or 10, wherein determining location distribution information of each monitoring point based on the plurality of monitoring paths comprises: for each monitoring path, carrying out road section division on the monitoring path according to a preset distance to obtain a plurality of road sections; for each road section, determining the central point positions of the road section in each monitoring path respectively, and determining the target central point positions of the road section based on each central point position; and determining the position of the target center point of each road section as position distribution information of one monitoring point.
12. 12. The method of claim 10, wherein the wind vector information for the environment in which each monitoring point is located is generated by: For each monitoring point, acquiring a plurality of initial wind vector information corresponding to the monitoring point in the preset total surrounding time or the preset total turning time, wherein each initial wind vector information comprises a weft wind speed, a warp wind speed and a corresponding initial wind direction; determining an initial horizontal wind speed based on the weft wind speed and the warp wind speed for each initial wind vector information; Determining a horizontal wind speed based on initial horizontal wind speeds respectively corresponding to the initial wind vector information, and determining a wind direction based on initial wind directions in the initial wind vector information; the wind vector information is determined based on the horizontal wind speed and the wind direction.
13. 13. A traceability device of a greenhouse gas emission source, comprising: The information acquisition module is used for acquiring the position distribution information of each candidate emission source in the target industrial park, the position distribution information of each monitoring point at the periphery of the target industrial park and the wind vector information of the environment where each monitoring point is located; The system comprises a wind vector information acquisition module, a correlation diagram construction module, a diffusion correlation diagram, a target candidate emission source and a monitoring point detection module, wherein the wind vector information acquisition module is used for acquiring wind vector information of each monitoring point, and the relative position relation between each candidate emission source and each monitoring point; The model construction module is used for constructing a multi-source gas concentration model by utilizing the diffusion association diagram and wind vector information of the environment where each monitoring point is located, wherein the multi-source gas concentration model is used for representing the mapping relation between the greenhouse gas concentration at any monitoring point and the emission rate of the corresponding target candidate emission source; an emission source determination module configured to determine emission rates respectively corresponding to the candidate emission sources based on the multi-source gas concentration model, and determine a target emission source for emitting greenhouse gas from among the plurality of candidate emission sources based on the emission rates respectively corresponding to the candidate emission sources.
14. 14. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for tracing a greenhouse gas emission source according to any one of claims 1-12 when the program is executed.
15. 15. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, carries out the steps of the method for tracing a greenhouse gas emission source according to any one of claims 1-12.

Description

Method, device, equipment and medium for tracing greenhouse gas emission source Technical Field The application relates to the technical field of greenhouse gas emission monitoring, in particular to a method, a device, equipment and a storage medium for tracing a greenhouse gas emission source. Background With the positive promotion of energy conservation, carbon reduction and atmospheric pollution control, a series of measures such as clean transformation of an energy structure, carbon reduction technology upgrading in the coal industry, gas extraction recycling and the like are also orderly implemented, but the problem of high emission of greenhouse gases mainly comprising carbon dioxide and methane still exists in a coal industry park, and leakage occurs at the moment. Therefore, depending on the monitoring data of the surrounding environment of the park, the accurate identification and quantification of the emission source are realized, and the method becomes an urgent need in the current environment monitoring field. The related technology has the following common defects in the traceability of greenhouse gas emission in a coal mine industrial park that the dependency on the position information and the historical monitoring data of the known emission source is strong, the strict conditions such as the monitoring authority in the park and the deduction of the gas concentration area by area are required to be obtained in the implementation process, the calculation complexity of the deduction method area by area is high, the calculation amount is large, and the accurate traceability of the facility level cannot be realized in the actual scene with unknown emission source and complex facility layout. In view of the above, there is a need to construct a facility-level emission traceability technology system that does not rely on monitoring data inside a campus, adapts to unknown emission source scenes, and has high computational efficiency. Disclosure of Invention In view of the above, the present application provides a method, apparatus, device and storage medium for tracing a greenhouse gas emission source, so as to at least solve the problems in the related art. Specifically, the application is realized by the following technical scheme: The application provides a tracing method of a greenhouse gas emission source, which comprises the following steps: acquiring position distribution information of each candidate emission source in a target industrial park, position distribution information of each monitoring point on the periphery of the target industrial park and wind vector information of the environment where each monitoring point is located; According to the wind vector information and the relative position relation between each candidate emission source and each monitoring point, constructing a diffusion association graph, wherein the diffusion association graph is used for representing the association relation between each monitoring point and a target candidate emission source, and the target candidate emission source is a candidate emission source positioned in the upwind direction of the monitoring point; Constructing a multi-source gas concentration model by utilizing the diffusion association diagram and wind vector information of the environment where each monitoring point is located, wherein the multi-source gas concentration model is used for representing a mapping relation between greenhouse gas concentration at any monitoring point and emission rate of a corresponding target candidate emission source; And determining emission rates respectively corresponding to the candidate emission sources based on the multi-source gas concentration model, and determining a target emission source for emitting greenhouse gases from a plurality of candidate emission sources based on the emission rates respectively corresponding to the candidate emission sources. The application also provides a tracing device of the greenhouse gas emission source, which comprises: The information acquisition module is used for acquiring the position distribution information of each candidate emission source in the target industrial park, the position distribution information of each monitoring point at the periphery of the target industrial park and the wind vector information of the environment where each monitoring point is located; The system comprises a wind vector information acquisition module, a correlation diagram construction module, a diffusion correlation diagram, a target candidate emission source and a monitoring point detection module, wherein the wind vector information acquisition module is used for acquiring wind vector information of each monitoring point, and the relative position relation between each candidate emission source and each monitoring point; The model construction module is used for constructing a multi-source gas concentration model by utilizing the diffusion association diagram and wind v