Intelligent pollution source dynamic management method and system

Abstract

The present invention is applicable to the field of pollution source management technology, and in particular relates to a method and system for intelligent dynamic management of pollution sources, the method comprising: obtaining a building distribution map of an industrial park, locating pollution emission sources, using the pollution emission sources as source points, finding the public service facilities closest to the pollution emission sources, wherein the public service facilities include at least street lights, traffic lights, and building exterior walls, and marking the public service facilities as deployment locations for sensing equipment; obtaining meteorological data within the industrial park, wherein the meteorological data includes at least wind speed and wind direction, selecting available points from the public service facilities based on the meteorological data, and collecting air quality data via sensing equipment at the available points. By displaying environmental disclosure information, the present invention can utilize social supervision to force enterprises to make rectifications, greatly improve enterprises' self-discipline awareness, avoid the occurrence of illegal exhaust emissions, and reduce air pollution.

Description

Technical Field

[0001] The present invention relates to the technical field of pollution source management, and in particular to an intelligent pollution source dynamic management method and system. Background Art

[0002] Industrial parks collect and treat waste gas from the production processes of polluting enterprises through centrally organized waste gas treatment equipment; however, due to weak supervision in some industrial parks, some enterprises may choose to secretly discharge waste gas in order to reduce production costs.

[0003] In the existing technology, the illegal emission of waste gas by enterprises is supervised through manual inspections or the deployment of online monitoring equipment; however, both have great limitations in the monitoring range and monitoring period; therefore, "how to improve the pollution monitoring period and range" is the technical problem that the present invention needs to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent pollution source dynamic management method and system to solve the problem of "how to improve the pollution monitoring period and scope" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent pollution source dynamic management method, the method comprising:

[0007] Obtain a building distribution map of the industrial park, locate the pollution emission source, and use the pollution emission source as the source point to find the public service facilities closest to the pollution emission source, where the public service facilities include at least street lights, traffic lights, and building exterior walls, and mark the public service facilities as the deployment locations of the sensor equipment;

[0008] Acquire meteorological data within the industrial park, where the meteorological data includes at least wind speed and direction; based on the meteorological data, select available points from public service facilities; collect air quality data via sensing equipment at the available points to determine whether air quality exceeds standards; if so, trigger and activate all sensing equipment, identify several suspected pollution sources, define the suspected pollution sources as waypoints for drones, generate inspection routes, and send takeoff commands to the drones;

[0009] Environmental data at the suspected pollution source is collected via drones, and the target pollution source is identified. The sensor equipment at the target pollution source is defined as the target equipment. The target equipment and environmental data are integrated to generate environmental disclosure information, which is then displayed using projection equipment pre-integrated in public service facilities.

[0010] Furthermore, the steps of obtaining a building distribution map of the industrial park and locating pollution emission sources with the pollution emission sources as the source points include:

[0011] Establishing a correspondence between the pollution emission source and the sensor equipment, and reading the number of the sensor equipment;

[0012] An emission load of each of the pollution emission sources is configured, and the quantity is adjusted based on the emission load.

[0013] Furthermore, the step of marking the public service facility as a deployment location of the sensor device includes:

[0014] Based on the discharge load, selecting inspection points from the deployment positions and modifying the inspection route;

[0015] A monitoring frequency corresponding to the emission load is set, a corresponding relationship between the deployment location and the monitoring frequency is established, and the monitoring frequency is sent to the corresponding sensor device.

[0016] Furthermore, the method further comprises:

[0017] Determine a boundary range of the building distribution map, find sensor devices within the boundary range, obtain boundary devices, and define deployment locations of the boundary devices as available points;

[0018] Abnormal features are extracted from the air quality data, suspicious targets are traversed, and confirmation information is sent to the terminal device corresponding to the suspicious target.

[0019] Furthermore, the step of determining whether the pollution exceeds the standard and, if so, triggering all sensing devices to traverse a number of suspected pollution sources includes:

[0020] Utilize the public service facilities to build an emergency response plan;

[0021] A multi-level threshold is created, and a mapping between the threshold and the emergency treatment plan is established. When the air quality data exceeds the threshold, the emergency treatment plan is activated through the mapping.

[0022] Furthermore, the step of collecting environmental data at the suspected pollution source by using a drone, identifying a target pollution source, and defining the sensor device at the target pollution source as a target device includes:

[0023] Based on the target pollution source and meteorological data, dangerous areas are marked in the building distribution map, a search mission is generated, and the search mission is sent to the drone;

[0024] The execution result of the search task is obtained, and the pre-built evacuation rules are activated.

[0025] Furthermore, the step of integrating the target device and environmental data to generate environmental publicity information, and displaying the environmental publicity information using a projection device pre-integrated in a public service facility includes:

[0026] Establishing a synchronous update mechanism for the environmental data and environmental public information, and integrating the meteorological data and hazard zones into the environmental public information;

[0027] A pre-built feedback QR code is embedded into the environmental publicity information, and a feedback channel is created.

[0028] Furthermore, the system includes:

[0029] A marking module is configured to obtain a building distribution map of the industrial park, locate pollution emission sources, and use the pollution emission sources as source points to find the public service facilities closest to the pollution emission sources, where the public service facilities include at least street lights, traffic lights, and building exterior walls, and mark the public service facilities as deployment locations for the sensing equipment.

[0030] A judgment module is configured to obtain meteorological data within the industrial park, wherein the meteorological data includes at least wind speed and direction. Based on the meteorological data, available points are selected from public service facilities. Sensor equipment at the available points collects air quality data to determine whether air quality exceeds standards. If so, all sensing devices are triggered to activate, and several suspected pollution sources are traversed. The suspected pollution sources are defined as waypoints for the drone, an inspection route is generated, and a takeoff command is sent to the drone.

[0031] The display module is used to collect environmental data at the suspected pollution source via a drone, identify the target pollution source, define the sensor equipment at the target pollution source as the target equipment, integrate the target equipment and environmental data, generate environmental publicity information, and use the projection equipment pre-integrated in the public service facilities to display the environmental publicity information.

[0032] Furthermore, the marking module includes:

[0033] A reading unit, used to establish a correspondence between the pollution emission source and the sensor equipment, and read the number of the sensor equipment;

[0034] an adjusting unit, configured to configure an emission load of each of the pollution emission sources and adjust the quantity based on the emission load;

[0035] a correction unit, configured to select an inspection point from the deployment positions according to the discharge load and correct the inspection route;

[0036] The setting unit is used to set a monitoring frequency corresponding to the emission load, establish a corresponding relationship between the deployment position and the monitoring frequency, and send the monitoring frequency to the corresponding sensor device.

[0037] Furthermore, the judgment module includes:

[0038] A construction unit, configured to construct an emergency response plan using the public service facilities;

[0039] The creation unit is used to create multi-level thresholds, establish a mapping between the thresholds and emergency treatment plans, and when the air quality data exceeds the thresholds, activate the emergency treatment plan through the mapping.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] By identifying the pollution sources, supervision efficiency can be improved, blind inspections can be reduced, pollution sources can be controlled in a timely manner, and environmental risks can be reduced. By finding public service facilities, a data basis can be provided for determining the deployment location, reducing the installation and maintenance costs of sensor equipment, and making full use of existing electricity and network resources. By collecting meteorological data and available points, the possible locations of pollution sources can be reversely deduced, the amount of data processing can be reduced, and the accuracy of pollution source monitoring can be improved. By launching drones, the possible locations of pollution sources can be quickly reviewed, and the spread of pollutants can be monitored from multiple angles, improving the accuracy of pollution data, and thus accurately locating the pollution sources. By displaying environmental disclosure information, social supervision can be used to force enterprises to make rectifications, greatly improving the self-discipline awareness of enterprises, avoiding the occurrence of illegal exhaust emissions, and reducing air pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flowchart of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0043] Figure 2 A block diagram of the first sub-process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0044] Figure 3 A second sub-flow chart of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0045] Figure 4 A block diagram of the third sub-process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0046] Figure 5 A block diagram of the composition of the intelligent pollution source dynamic management system provided by an embodiment of the present invention;

[0047] Figure 6A block diagram of the marking module in the intelligent pollution source dynamic management system provided by an embodiment of the present invention;

[0048] Figure 7 A block diagram of the composition of the judgment module in the intelligent pollution source dynamic management system provided by an embodiment of the present invention;

[0049] Figure 8 This is a block diagram of the composition of the display module in the intelligent pollution source dynamic management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0051] In Example 1, Figure 1 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown and described in detail below:

[0052] S100: Obtain a building distribution map of the industrial park, locate the pollution emission source, and use the pollution emission source as the source point to find the public service facilities closest to the pollution emission source, where the public service facilities include at least: street lights, traffic lights and building exterior walls, and mark the public service facilities as the deployment location of the sensor equipment.

[0053] Obtain a building distribution map from the management of the industrial park, where the building distribution map includes: company name, building purpose, road and transportation network and infrastructure, etc.; combine the company's pollution discharge permit, online monitoring data and pollution emission records, etc. to locate the pollution emission source and mark it on the building distribution map; the pollution referred to in this application is waste gas pollution, and the pollution emission sources should include, in addition to conventional tail gas emission outlets, raw material and waste storage areas and waste gas generating equipment, etc.; mark the location of public service facilities on the building distribution map, where public service facilities include: street lights, traffic lights and building exterior walls, etc., find the public service facilities closest to the pollution emission source, and determine the deployment location of the sensor equipment; among them, if the economic strength of the industrial park is strong, multiple deployment locations can also be selected, and sensor equipment can be deployed separately to improve the waste gas monitoring range and monitoring accuracy; in addition to gas sensors (sulfur dioxide sensors, nitrogen oxide sensors and carbon monoxide sensors, etc.), the sensor equipment should also include: gas quality monitors and infrared gas analyzers, etc.

[0054] For example, the thermal power section generally generates steam by burning fossil fuels to provide heat source for the production system. During the combustion process, CO2 and NO xand SO2 and other tail gases; in this process, the pollution emission source is the boiler equipment. Sensor equipment is installed on the outer wall of the building of the boiler equipment or on the nearest street lamp to monitor the tail gas that may be generated in the production process.

[0055] S200: Acquire meteorological data within the industrial park, wherein the meteorological data includes at least wind speed and wind direction. Based on the meteorological data, select available points from public service facilities, collect air quality data through the sensing equipment at the available points, and determine whether it exceeds the standard. If so, trigger and start all sensing equipment, traverse several suspicious pollution sources, define the suspicious pollution sources as the waypoints of the drone, generate an inspection route, and send a take-off command to the drone.

[0056] Obtain meteorological data within the industrial park from public data or meteorological data providers. Meteorological data can also be obtained through monitoring equipment. Meteorological data include: wind speed and direction, etc.; define public service facilities located downwind of pollution emission sources as available points. Available points can monitor exhaust emission data from pollution emission sources in a timely and accurate manner. Use sensing equipment deployed at available points to collect air quality data, where air quality data mainly includes pollutant concentration data, such as PM2.5, sulfur dioxide concentration, and nitrogen oxide concentration. If the concentration of certain pollutants in the air (such as PM2.5 and sulfur dioxide) exceeds the safety threshold, it is defined as exceeding the standard. The safety threshold is set by professionals according to industry standards.

[0057] If the standard is exceeded, it means that there is illegal discharge of waste gas in the industrial park. All sensor equipment in the industrial park will be activated to find the sensor equipment with abnormal waste gas content, and the corresponding pollution emission source will be defined as a suspicious pollution source. The location of the suspicious pollution source will be defined as the passing point of the UAV. The take-off point, passing point and landing point of the UAV will be integrated to generate an inspection route, and the inspection route and take-off instructions will be sent to the UAV; the UAV will conduct aerial inspections of all suspicious pollution sources according to the inspection route, obtain real-time data such as pollutant concentration, video images, etc. on the site, and find out the specific emission location by analyzing the pollutant concentration. The specific emission locations include: exhaust ports, leakage points of production facilities and leakage points of storage tanks, etc.

[0058] S300: Collect environmental data at the suspected pollution source via a drone, identify the target pollution source, define the sensor equipment at the target pollution source as a target device, integrate the target device and environmental data, generate environmental publicity information, and display the environmental publicity information using projection equipment pre-integrated in public service facilities.

[0059] In actual operation, after the approximate type of pollutants is determined through sensing equipment, the corresponding higher-precision sensing equipment is manually mounted on the drone; further, when the drone flies to a location in the industrial park that has been calibrated as a suspected pollution source, the sensing equipment installed on it is used to collect real-time pollutant concentration data, find the area with the most serious exceeding of the standard, and define it as the target pollution source, and the sensing equipment at the target pollution source is defined as the target equipment.

[0060] For example, to elaborate on the example in S100, when a boiler in a certain section secretly discharges exhaust gas, after using drones to compare the environmental data of multiple suspected pollution sources, the CO2, NO x The area with the highest concentration of exhaust gases such as SO2 is the target pollution source, and the sensing equipment deployed in the public service facilities closest to the target pollution source is defined as the target equipment.

[0061] The target device and the corresponding environmental data are integrated, and the integrated data is cleaned, analyzed and visualized to obtain environmental publicity information; the environmental publicity information is displayed using the projection equipment installed in the public service facilities. The specific location of the display is not limited, and the projection equipment can be a laser projector or an inexpensive small projection box, etc.; it should be noted that: when the public service facilities are street lights and building exterior walls, the environmental publicity information can be projected onto street light poles, the ground or other auxiliary devices; when the public service facilities are traffic lights, other public service facilities that are closer to them can be used to display the environmental publicity information.

[0062] In Example 2, Figure 2 The implementation process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention is shown. The following details the steps of obtaining a building distribution map of an industrial park, locating pollution emission sources, and taking the pollution emission sources as the source points.

[0063] S101: Establishing a correspondence between the pollution emission source and the sensor equipment, and reading the number of the sensor equipment.

[0064] Different sensor devices are deployed according to the types of pollutants that may be emitted by each pollution emission source, and the relationship between the two is recorded after the deployment is completed. In addition, different numbers of sensor devices can be determined according to the type of pollutant. For example, if the harm of the pollutant is greater, a larger number of sensor devices can also be deployed.

[0065] S102: Calculate the emission load of each of the pollution emission sources, and adjust the quantity based on the emission load.

[0066] When the emission load of a pollution emission source is large, more sensing equipment needs to be deployed; a large emission load means that the amount or concentration of pollutants emitted by the pollution source is high.

[0067] In Example 3, Figure 2 The implementation process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention is shown. The steps of marking the public service facilities as the deployment locations of the sensor equipment are described in detail as follows:

[0068] S103: Based on the emission load, select inspection points from the deployment positions and modify the inspection route.

[0069] Find out the pollution emission sources with heavy emission loads, identify them as inspection points, adjust the inspection routes, and use drones to conduct daily inspections of the inspection points.

[0070] S104: Setting a monitoring frequency corresponding to the emission load, establishing a corresponding relationship between the deployment location and the monitoring frequency, and sending the monitoring frequency to the corresponding sensor device.

[0071] Determine the quantitative data of emission load, where the quantitative data can be obtained from the enterprise corresponding to the pollution emission source. Each quantitative data corresponds to a monitoring frequency, and the sensing equipment is adjusted according to this monitoring frequency.

[0072] For example, the emission load of a steel plant is: 50 tons of sulfur dioxide per day, 30 tons of nitrogen oxides per day, and 10 tons of particulate matter per day. The monitoring frequency corresponding to 50 tons of sulfur dioxide per day is once per minute. In this case, the air quality data is collected using sensor equipment with a step size of one minute.

[0073] In Example 4, Figure 3 The following is a detailed description of the implementation process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention. The following details the steps of determining whether the pollution exceeds the standard, and if so, triggering and activating all sensor devices to traverse several suspicious pollution sources.

[0074] S201: Utilize the public service facilities to build an emergency response plan.

[0075] Construct an emergency response plan, which can include: adjusting traffic lights to prevent unauthorized personnel from entering the industrial park, or using projection equipment to display evacuation information, etc.

[0076] S202: Create a multi-level threshold, establish a mapping between the threshold and the emergency treatment plan, and when the air quality data exceeds the threshold, activate the emergency treatment plan through the mapping.

[0077] The multi-level threshold is a set of several thresholds. When the air quality data exceeds the corresponding threshold, the corresponding emergency response plan is activated. The advantage of this is that it can minimize people's exposure to harmful substances and reduce health risks.

[0078] In Example 5, Figure 4 The implementation process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention is shown. The following details the steps of collecting environmental data at the suspected pollution source via a drone, identifying the target pollution source, and defining the sensor device at the target pollution source as the target device.

[0079] S301: Based on the target pollution source and meteorological data, mark the dangerous areas in the building distribution map, generate a search mission, and send the search mission to the drone;

[0080] According to the target pollution sources, combined with meteorological data, the diffusion trend of pollutants is analyzed. On this basis, the analysis results are mapped to the building distribution map to determine the areas that may be affected by pollutants, namely the danger zones.

[0081] Search missions are formulated based on the location, area, and degree of pollution in the hazardous area. These missions are mainly used to locate personnel in the hazardous area. The search missions are sent to drones, which are then used to search the hazardous area.

[0082] S302: Obtain the execution result of the search task and activate the pre-built evacuation rules.

[0083] If a worker is found in a dangerous area, an evacuation rule is activated, where the evacuation rule may include using a drone to shout and remind the worker to evacuate.

[0084] In Example 6, Figure 4 The implementation process of the intelligent pollution source dynamic management method provided by an embodiment of the present invention is shown. The following details the steps of integrating the target device and environmental data, generating environmental public information, and displaying the environmental public information using projection equipment pre-integrated in public service facilities.

[0085] S303: Establishing a synchronous update mechanism for the environmental data and environmental public information, and integrating the meteorological data and hazard zones into the environmental public information.

[0086] When the drone inspection is completed and new environmental data is collected, the synchronous update mechanism is activated. The synchronous update mechanism is as follows: when the environmental data is updated, the environmental public information is updated synchronously; meteorological data and danger zones are integrated into the environmental public information to ensure the timely release of evacuation information.

[0087] S304: Embed a pre-built feedback QR code into the environmental publicity information and create a feedback channel.

[0088] A pre-built feedback QR code is embedded in the environmental disclosure information. This QR code can be linked to the feedback platform, where staff can scan the code to access and submit environmental-related opinions or reporting information. Using this QR code to build a feedback channel can increase staff participation and the transparency of environmental governance.

[0089] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0090] Determine a boundary range of the building distribution map, find sensor devices within the boundary range, obtain boundary devices, and define deployment locations of the boundary devices as available points;

[0091] Abnormal features are extracted from the air quality data, suspicious targets are traversed, and confirmation information is sent to the terminal device corresponding to the suspicious target.

[0092] Determine the boundary range of the building distribution map, and by analyzing the structural layout and boundary lines of the buildings, determine the sensing devices within the boundary range and define them as boundary devices. The location of the boundary devices is the available point.

[0093] For example, after determining the boundary of an industrial park, the boundary range is divided into fifty meters inside and outside the boundary line. The sensing equipment within the boundary range is the boundary equipment, and the deployment location of the boundary equipment is the available point.

[0094] Abnormal features are extracted from the collected air quality data. Abnormal features may include but are not limited to excessive pollutant concentrations, abnormal fluctuation trends and sudden changes. The pollution emission sources corresponding to the abnormal features are identified as suspicious targets, and confirmation information is sent to the terminal devices corresponding to the suspicious targets to verify the suspicious targets and determine whether they are engaged in illegal discharge. The terminal devices corresponding to the suspicious targets can be the mobile terminals of the corresponding enterprise managers.

[0095] Figure 5 The following is a structural block diagram of the intelligent pollution source dynamic management system provided by an embodiment of the present invention. The intelligent pollution source dynamic management system 1 includes:

[0096] The marking module 11 is configured to obtain a building distribution map of the industrial park, locate the pollution emission source, and use the pollution emission source as the source point to find the public service facilities closest to the pollution emission source, where the public service facilities include at least street lights, traffic lights, and building exterior walls, and mark the public service facilities as the deployment locations of the sensor equipment;

[0097] The judgment module 12 is configured to collect meteorological data within the industrial park, wherein the meteorological data includes at least wind speed and direction. Based on the meteorological data, available points are selected from public service facilities. Air quality data is collected via sensing equipment at the available points to determine whether air quality exceeds standards. If so, all sensing equipment is triggered to detect a number of suspected pollution sources, which are defined as waypoints for the drone. An inspection route is generated, and a takeoff command is sent to the drone.

[0098] The display module 13 is used to collect environmental data at the suspected pollution source via a drone, identify the target pollution source, define the sensor equipment at the target pollution source as the target equipment, integrate the target equipment and environmental data, generate environmental publicity information, and use the projection equipment pre-integrated in the public service facilities to display the environmental publicity information.

[0099] Figure 6 The following is a structural block diagram of the intelligent pollution source dynamic management system provided by an embodiment of the present invention. The marking module 11 includes:

[0100] The reading unit 111 is used to establish a correspondence between the pollution emission source and the sensor equipment and read the number of the sensor equipment;

[0101] An adjusting unit 112, configured to configure an emission load of each of the pollution emission sources, and adjust the quantity based on the emission load;

[0102] A correction unit 113 is configured to select an inspection point from the deployment positions according to the discharge load and correct the inspection route;

[0103] The setting unit 114 is configured to set a monitoring frequency corresponding to the emission load, establish a corresponding relationship between the deployment location and the monitoring frequency, and send the monitoring frequency to a corresponding sensor device.

[0104] Figure 7 The following is a structural block diagram of the intelligent pollution source dynamic management system provided by an embodiment of the present invention. The judgment module 12 includes:

[0105] A construction unit 121 is used to construct an emergency response plan using the public service facilities;

[0106] The creation unit 122 is configured to create a multi-level threshold value, establish a mapping between the threshold value and the emergency treatment plan, and activate the emergency treatment plan via the mapping when the air quality data exceeds the threshold value.

[0107] Figure 8The following is a structural block diagram of the intelligent pollution source dynamic management system provided by an embodiment of the present invention. The display module 13 includes:

[0108] The sending unit 131 is configured to mark dangerous areas in the building distribution map based on the target pollution source and meteorological data, generate a search mission, and send the search mission to the drone;

[0109] An activation unit 132 is configured to obtain the execution result of the search task and activate a pre-built evacuation rule;

[0110] An integration unit 133 is configured to establish a synchronous update mechanism for the environmental data and environmental public information, and integrate the meteorological data and hazard zones into the environmental public information;

[0111] The embedding unit 134 is used to embed a pre-built feedback QR code into the environmental publicity information and create a feedback channel.

[0112] The marking module 11 is mainly used to complete step S100, the judging module 12 is mainly used to complete step S200, and the display module 13 is mainly used to complete step S300;

[0113] The reading unit 111 is mainly used to complete step S101, the adjusting unit 112 is mainly used to complete step S102, the correcting unit 113 is mainly used to complete step S103, and the setting unit 114 is mainly used to complete step S104;

[0114] The construction unit 121 is mainly used to complete step S201, and the creation unit 122 is mainly used to complete step S202;

[0115] The sending unit 131 is mainly used to complete step S301, the activating unit 132 is mainly used to complete step S302, the integrating unit 133 is mainly used to complete step S303, and the embedding unit 134 is mainly used to complete step S304.

[0116] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0118] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent pollution source dynamic management method, characterized in that: The method comprises: Obtain a building distribution map of the industrial park, locate the pollution emission source, and use the pollution emission source as the source point to find the public service facilities closest to the pollution emission source, where the public service facilities include at least street lights, traffic lights, and building exterior walls, and mark the public service facilities as the deployment locations of the sensor equipment; Acquire meteorological data within the industrial park, where the meteorological data includes at least wind speed and direction; based on the meteorological data, select available points from public service facilities; collect air quality data via sensing equipment at the available points; and determine whether air quality exceeds standards. If so, trigger all sensing equipment to activate, traverse several suspected pollution sources, define the suspected pollution sources as waypoints for drones, generate inspection routes, and send takeoff commands to the drones; Using drones, environmental data from the suspected pollution source is collected, and the target pollution source is identified. The sensor equipment at the target pollution source is defined as a target device. The target device and environmental data are integrated to generate environmental public information, and the environmental public information is displayed using projection equipment pre-integrated in public service facilities. The step of obtaining a building distribution map of the industrial park and locating a pollution emission source, with the pollution emission source as the source point, includes: Establishing a correspondence between the pollution emission source and the sensor equipment, and reading the number of the sensor equipment; configuring an emission load of each of the pollution emission sources, and adjusting the quantity based on the emission load; The step of marking the public service facility as a deployment location of the sensor device comprises: Based on the discharge load, selecting inspection points from the deployment positions and modifying the inspection route; Setting a monitoring frequency corresponding to the emission load, establishing a corresponding relationship between the deployment location and the monitoring frequency, and sending the monitoring frequency to the corresponding sensor device; The steps of determining whether the pollution exceeds the standard and, if so, triggering and activating all sensing devices to traverse a number of suspected pollution sources include: Utilize the public service facilities to build an emergency response plan; Creating a multi-level threshold, establishing a mapping between the threshold and the emergency treatment plan, and when the air quality data exceeds the threshold, activating the emergency treatment plan through the mapping; The steps of collecting environmental data at the suspected pollution source by using a drone, identifying a target pollution source, and defining the sensor device at the target pollution source as a target device include: Based on the target pollution source and meteorological data, dangerous areas are marked in the building distribution map, a search mission is generated, and the search mission is sent to the drone; Obtaining the execution result of the search task and activating the pre-built evacuation rules; The steps of integrating the target device and environmental data to generate environmental publicity information, and displaying the environmental publicity information using a projection device pre-integrated in a public service facility include: Establishing a synchronous update mechanism for the environmental data and environmental public information, and integrating the meteorological data and hazard zones into the environmental public information; A pre-built feedback QR code is embedded in the environmental publicity information, and a feedback channel is created.

2. The intelligent pollution source dynamic management method according to claim 1, characterized in that: The method further comprises: Determine a boundary range of the building distribution map, find sensor devices within the boundary range, obtain boundary devices, and define deployment locations of the boundary devices as available points; Abnormal features are extracted from the air quality data, suspicious targets are traversed, and confirmation information is sent to the terminal device corresponding to the suspicious target.

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