Intelligent pollution source dynamic management method and system

Abstract

The invention is suitable for the technical field of pollution source management, and particularly relates to an intelligent pollution source dynamic management method and system, and the method comprises the steps: obtaining a building distribution diagram of an industrial park, positioning a pollution emission source, taking the pollution emission source as a source point, finding out a public service facility closest to the pollution emission source, and carrying out the management of the public service facility. Wherein the public service facility at least comprises a street lamp, a traffic signal lamp and a building outer wall, and marking the public service facility as a deployment position of sensing equipment; the method comprises the steps of obtaining meteorological data in an industrial park, selecting available point locations from public service facilities based on the meteorological data, and collecting air quality data through sensing equipment at the available point locations. According to the invention, by displaying the environment publicity information, the enterprise rectification can be forced by using social supervision, thereby greatly improving the self-discipline consciousness of the enterprise, avoiding the occurrence of the phenomenon of stealing exhaust gas emission, and reducing the atmospheric pollution.

Description

Technical Field

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

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

[0003] In the prior art, the behavior of enterprises secretly discharging waste gas is supervised by means of manual inspections or deploying on-line monitoring equipment; however, there are great limitations in the monitoring scope and monitoring time period for both; therefore, "how to improve the pollution monitoring time period and scope" is the technical problem to be solved by the present invention. 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 time period and scope" proposed in the above background art.

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

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

[0007] Obtain the building distribution map of the industrial park, locate the pollution emission sources, take the pollution emission sources as the source points, find out the public service facilities closest to the pollution emission sources, wherein the public service facilities at least include: street lamps, traffic lights and building facades, and mark the public service facilities as the deployment positions of the sensing devices;

[0008] Obtain the meteorological data in the industrial park, wherein the meteorological data at least includes: wind speed and wind direction, based on the meteorological data, select available points from the public service facilities, collect air quality data via the sensing devices at the available points, judge whether it exceeds the standard, if so, trigger the start of all the sensing devices, traverse several suspicious pollution sources, define the suspicious pollution sources as the passing points of the unmanned aerial vehicle, generate an inspection route, and send a take-off instruction to the unmanned aerial vehicle;

[0009] Collect the environmental data at the suspicious pollution sources via the unmanned aerial vehicle, compare and identify the target pollution source, define the sensing device at the target pollution source as the target device, integrate the target device and the environmental data, generate environmental publicity information, and use the projection device pre-integrated in the public service facilities to display the environmental publicity information.

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

[0011] Establish the corresponding relationship between the pollution emission sources and the sensing devices, and read out the number of sensing devices;

[0012] Configure the emission load of each pollution emission source, and adjust the quantity based on the emission load.

[0013] Further, the steps of marking the public service facilities as the deployment locations of the sensing devices include:

[0014] Based on the emission load, select the inspection points from the deployment locations, and correct the inspection route;

[0015] Set the monitoring frequency corresponding one-to-one to the emission load, establish the corresponding relationship between the deployment location and the monitoring frequency, and send the monitoring frequency to the corresponding sensing devices.

[0016] Further, the method further includes:

[0017] Divide the boundary range of the building distribution map, find the sensing devices within the boundary range to obtain the boundary devices, and define the deployment locations of the boundary devices as available points;

[0018] Extract the abnormal features from the air quality data, traverse the suspicious targets, and send confirmation messages to the terminal devices corresponding to the suspicious targets.

[0019] Further, the steps of determining whether it exceeds the standard, and if so, triggering the activation of all sensing devices and traversing several suspicious pollution sources include:

[0020] Utilize the public service facilities to construct an emergency treatment plan;

[0021] Create multi-level thresholds, establish the mapping between the thresholds and the emergency treatment plan, and when the air quality data exceeds the threshold, activate the emergency treatment plan via the mapping.

[0022] Further, the steps of collecting the environmental data at the suspicious pollution sources via the unmanned aerial vehicle, comparing to identify the target pollution source, and defining the sensing devices at the target pollution source as target devices include:

[0023] Based on the target pollution source and the meteorological data, mark the dangerous areas in the building distribution map, generate a search task, and send the search task to the unmanned aerial vehicle;

[0024] Obtain the execution result of the search task, and activate the pre-constructed evacuation rules.

[0025] Further, the steps of integrating the target device and environmental data to generate environmental publicity information and using a projection device pre-integrated in a public service facility to display the environmental publicity information include:

[0026] Establish a synchronous update mechanism for the environmental data and the environmental publicity information, and integrate the meteorological data and the hazard zoning into the environmental publicity information;

[0027] Embed a pre-constructed feedback QR code into the environmental publicity information and create an opinion feedback channel.

[0028] Further, the system includes:

[0029] A marking module, configured to obtain a building distribution map of an industrial park, locate pollution emission sources, use the pollution emission sources as source points, find the public service facilities closest to the pollution emission sources, where the public service facilities at least include: street lights, traffic lights, and building facades, and mark the public service facilities as the deployment locations of the sensing devices;

[0030] A judgment module, configured to obtain meteorological data in the industrial park, where the meteorological data at least includes: wind speed and wind direction, based on the meteorological data, select available points from the public service facilities, collect air quality data via the sensing devices at the available points, judge whether it exceeds the standard, if so, trigger the activation of all the sensing devices, traverse several suspicious pollution sources, define the suspicious pollution sources as the passing points of the unmanned aerial vehicle, generate an inspection route, and send a take-off instruction to the unmanned aerial vehicle;

[0031] A display module, configured to collect environmental data at the suspicious pollution sources via the unmanned aerial vehicle, compare and identify the target pollution source, define the sensing device at the target pollution source as the target device, integrate the target device and the environmental data to generate environmental publicity information, and use a projection device pre-integrated in the public service facility to display the environmental publicity information.

[0032] Further, the marking module includes:

[0033] A reading unit, configured to establish the correspondence between the pollution emission sources and the sensing devices and read out the number of the sensing devices;

[0034] An adjustment unit, configured to configure the emission load of each pollution emission source and adjust the number based on the emission load;

[0035] A correction unit, configured to select inspection points from the deployment locations according to the emission load and correct the inspection route;

[0036] A setting unit is configured to set a monitoring frequency corresponding one-to-one to the emission load, establish a correspondence between the deployment location and the monitoring frequency, and send the monitoring frequency to the corresponding sensing device.

[0037] Further, the judgment module includes:

[0038] A construction unit is configured to construct an emergency treatment plan by using the public service facilities;

[0039] A creation unit is configured to create multi-level thresholds, establish a mapping between the thresholds and the emergency treatment plan, and when the air quality data exceeds the thresholds, start the emergency treatment plan via the mapping.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] By determining the pollution sources, the supervision efficiency can be improved, blind inspections can be reduced, and at the same time, the pollution sources can be controlled in a timely manner to reduce environmental risks. By searching for public service facilities, a data basis can be provided for determining the deployment location, the installation and maintenance costs of sensing devices can be reduced, and the existing power and network resources can be fully utilized. By collecting meteorological data and available points, the possible pollution source locations can be deduced reversely, the data processing volume can be reduced, and the accuracy of pollution source monitoring can be improved. By starting the unmanned aerial vehicle, the possible pollution source locations can be quickly rechecked, and the diffusion of pollutants can be monitored from multiple angles to improve the accuracy of pollution data, so as to accurately locate the pollution sources. By displaying environmental publicity information, social supervision can be utilized to force enterprises to rectify, greatly improving the self-discipline awareness of enterprises and avoiding the occurrence of illegal exhaust emissions, thereby reducing air pollution. Description of the Drawings

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

[0043] Figure 2 It is a first sub-flowchart of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0044] Figure 3 It is a second sub-flowchart of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

[0045] Figure 4 It is a third sub-flowchart of the intelligent pollution source dynamic management method provided by an embodiment of the present invention;

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

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

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

[0049] Figure 8 It is the block diagram of the display module in the intelligent pollution source dynamic management system provided by the embodiment of the present invention. Specific embodiments

[0050] In order to make the objectives, technical solutions and advantages of the present invention clearer, 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 used to limit the present invention.

[0051] In Embodiment 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 will be described in detail below as follows:

[0052] S100: Obtain the building distribution map of the industrial park, locate the pollution emission sources, take the pollution emission sources as the source points, find out the public service facilities closest to the pollution emission sources, where the public service facilities at least include: street lights, traffic lights and building facades, and mark the deployment positions of the sensing devices with the public service facilities.

[0053] Obtain the building distribution map from the management party of the industrial park, where the building distribution map includes: enterprise names, building uses, road and traffic networks, infrastructure, etc.; combine enterprise pollution discharge permits, online monitoring data, pollution emission records, etc. to locate the pollution emission sources and mark them on the building distribution map; the pollution referred to in this application is waste gas pollution, and in addition to the conventional tail gas emission ports, the pollution emission sources should also include: raw material and waste storage areas, waste gas generation equipment, etc.; mark the positions of public service facilities on the building distribution map, where the public service facilities include: street lights, traffic lights, building facades, etc., find the public service facilities closest to the pollution emission sources, and determine the deployment positions of the sensing devices; among them, if the economic strength of the industrial park is strong, multiple deployment positions can also be selected and sensing devices can be deployed separately to improve the waste gas monitoring range and monitoring accuracy; the sensing devices should include, in addition to: gas sensors (such as sulfur dioxide sensors, nitrogen oxide sensors and carbon monoxide sensors), also: gas quality monitors, infrared gas analyzers, etc.

[0054] For example, the thermal power section generally generates steam by burning fossil fuels to provide heat for the production system. During the combustion process, CO 2 、NOx and SO 2 and other tail gases; during this process, the pollution emission source is the boiler equipment. Sensing devices are installed on the outer wall of the building where the boiler equipment is located or on the nearest street lamp to monitor the tail gases that may be generated during the production process.

[0055] S200: Obtain the meteorological data in the industrial park, where the meteorological data at least includes wind speed and wind direction. Based on the meteorological data, select available points from the public service facilities, collect air quality data through the sensing devices at the available points, determine whether it exceeds the standard. If so, trigger the activation of all sensing devices, traverse a number of suspected pollution sources, define the suspected pollution sources as the passing points of the drone, generate an inspection route, and send a take-off instruction to the drone.

[0056] Obtain the meteorological data in the industrial park from public data or meteorological data providers. The meteorological data can also be obtained through monitoring devices. The meteorological data includes wind speed, wind direction, etc.; define the public service facilities located downwind of the pollution emission source as available points. The available points can timely and accurately monitor the tail gas emission data in the pollution emission source. Use the sensing devices deployed at the available points to collect air quality data, where the air quality data is mainly pollutant concentration data, such as PM2.5, sulfur dioxide concentration, and nitrogen oxide concentration, etc.; if the concentration of certain pollutants in the air (such as PM2.5 and sulfur dioxide, etc.) exceeds the safety threshold, it is defined as exceeding the standard, where the safety threshold is formulated by professionals according to industry standards.

[0057] If it exceeds the standard, it indicates that there is a situation of illegal exhaust gas emissions in the industrial park. Activate all sensing devices in the industrial park, find out the sensing devices with abnormal exhaust gas content, and define the corresponding pollution emission source as a suspected pollution source. Define the location of the suspected pollution source as the passing point of the drone, integrate the take-off point, passing point, and landing point of the drone to generate an inspection route, and send the inspection route and take-off instruction to the drone; the drone conducts aerial inspections on all suspected pollution sources according to the inspection route, and obtains data such as on-site pollutant concentration and video images in real time, and finds out the specific emission locations by analyzing the pollutant concentration, where the specific emission locations include exhaust ports, production facility leakage points, and storage tank leakage points, etc.

[0058] S300: Collect the environmental data at the suspected pollution source through the drone, compare to find the target pollution source, define the sensing device at the target pollution source as the target device, integrate the target device and the environmental data to generate environmental publicity information, and use the projection device pre-integrated in the public service facilities to display the environmental publicity information.

[0059] In actual operation, after determining the approximate type of pollutants through a sensing device, a more accurate sensing device corresponding to it is manually mounted on the drone. Further, when the drone flies to the location in the industrial park that has been marked as a suspected pollution source, the sensing device installed on it is used to collect real-time pollutant concentration data, find the area with the most serious over-standard, and define it as the target pollution source, and define the sensing device at the target pollution source as the target device.

[0060] For example, continue to elaborate on the example in S100. When the boiler equipment in a certain section secretly discharges exhaust gas, after using the drone to compare the environmental data at multiple suspected pollution sources, find the area with the highest concentration of CO 2 , NO x and SO 2 in the exhaust gas, etc., that is, the target pollution source, and define the sensing device deployed in the nearest public service facility at the target pollution source as the target device.

[0061] Integrate the target device and the corresponding environmental data, and after cleaning, analyzing and visualizing the integrated data, obtain environmental publicity information; use the projection device installed in the public service facility to display the environmental publicity information, and the specific display location is not limited. Among them, the projection device can be a laser projector or a cheap small projection box, etc.; it should be noted that when the public service facility is a street lamp and the building exterior wall, the environmental publicity information can be projected on the street lamp pole, the ground or other auxiliary devices; when the public service facility is a traffic light, other public service facilities closer to it can be used to display the environmental publicity information.

[0062] In Embodiment 2, Figure 2 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown. The following details the steps of obtaining the building distribution map of the industrial park, locating the pollution emission source, and using the pollution emission source as the source point, as follows:

[0063] S101: Establish the corresponding relationship between the pollution emission source and the sensing device, and read out the number of sensing devices.

[0064] According to the type of pollutants that each pollution emission source may emit, different sensing devices are arranged, and after the arrangement is completed, the relationship between the two is recorded; in addition, different numbers of sensing devices can also be determined according to the type of pollutants; for example, if the pollutants are more harmful, more sensing devices can also be arranged.

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

[0066] When the emission load of the pollution emission source is large, more sensing devices also need to be arranged; where a large emission load means that the quantity or concentration of the pollutants emitted by the pollution source is high.

[0067] In Embodiment 3, Figure 2 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown. The following details the step of marking the public service facilities as the deployment locations of the sensing devices, as follows:

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

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

[0070] S104: Set a monitoring frequency corresponding one-to-one to the emission load, establish the correspondence between the deployment location and the monitoring frequency, and send the monitoring frequency to the corresponding sensing device.

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

[0072] For example, the emission load of a certain 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. Among them, the monitoring frequency corresponding to 50 tons of sulfur dioxide per day is once per minute. Then, use the sensing device to collect air quality data at one-minute intervals.

[0073] In Embodiment 4, Figure 3 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown. The following details the step of determining whether it exceeds the standard. If so, trigger the activation of all sensing devices and traverse several suspicious pollution sources, as follows:

[0074] S201: Use the public service facilities to construct an emergency treatment plan.

[0075] Construct an emergency treatment plan. The emergency treatment plan can be, for example, adjusting the traffic lights to prevent idle personnel from entering the industrial park, or using projection equipment to display evacuation information, etc.

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

[0077] The multi-level threshold is a set composed of several thresholds. When the air quality data exceeds the corresponding threshold, the corresponding emergency treatment plan is activated. The advantage of doing so is that it can maximize the avoidance of people being exposed to harmful substances and reduce health risks.

[0078] In Embodiment 5, Figure 4 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown. The following details the steps of collecting environmental data at the suspected pollution source via a drone, comparing to identify the target pollution source, and defining the sensing device at the target pollution source as the target device, as follows:

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

[0080] According to the target pollution source, combined with meteorological data, analyze the diffusion trend of pollutants, and on this basis, map the analysis results to the building distribution map to determine the areas that may be affected by pollutants, that is, the dangerous zones.

[0081] According to the location, area, and pollution degree of the dangerous zones, formulate a search task, where the search task is mainly used to find the staff in the dangerous zones; send the search task to the drone and use the drone to search the dangerous areas.

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

[0083] If staff are found in the dangerous area, activate the evacuation rules, where the evacuation rules can be using the drone to shout and remind the staff to evacuate, etc.

[0084] In Embodiment 6, Figure 4 The implementation process of the intelligent pollution source dynamic management method provided by the embodiment of the present invention is shown. The following details the steps of integrating the target device and environmental data to generate environmental publicity information and using the projection device pre-integrated in public service facilities to display the environmental publicity information, as follows:

[0085] S303: Establish a synchronous update mechanism for the environmental data and the environmental publicity information, and integrate the meteorological data and the dangerous zones into the environmental publicity information.

[0086] When the drone inspection is completed and new environmental data is collected, start the synchronous update mechanism, where the synchronous update mechanism is: when the environmental data is updated, the environmental publicity information is updated synchronously; integrate the meteorological data and the dangerous zones into the environmental publicity information to ensure the timely release of the evacuation information.

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

[0088] Embed a pre-constructed feedback QR code into the environmental publicity information. This QR code can be linked to an opinion feedback platform, and staff can access it by scanning the code to submit opinions or reporting information related to the environment. Using this QR code to construct an opinion feedback channel can improve the participation of staff and the transparency of environmental governance.

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

[0090] Divide the boundary range of the building distribution map, find the sensing devices within the boundary range to obtain boundary devices, and define the deployment locations of the boundary devices as available points.

[0091] Extract abnormal features from the air quality data, traverse the suspicious targets, and send confirmation information to the terminal devices corresponding to the suspicious targets.

[0092] Determine the boundary range of the building distribution map, and through 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 locations where the boundary devices are located are the available points.

[0093] For example, after determining the boundary of a certain industrial park, taking the area within fifty meters inside and outside the boundary line as the boundary range, the sensing devices within the boundary range are the boundary devices, and the deployment locations of the boundary devices are the available points.

[0094] Extract abnormal features from the collected air quality data. The abnormal features may include, but are not limited to, excessive pollutant concentrations, abnormal fluctuation trends, and sudden changes, etc. Determine the pollution emission sources corresponding to the abnormal features as suspicious targets, and send confirmation information to the terminal devices corresponding to the suspicious targets to verify the suspicious targets and judge whether they are discharging secretly; the terminal devices corresponding to the suspicious targets can be the mobile terminals of the corresponding enterprise managers.

[0095] Figure 5 The block diagram showing the composition structure of the intelligent pollution source dynamic management system provided by the embodiment of the present invention. The intelligent pollution source dynamic management system 1 includes:

[0096] A marking module 11, configured to obtain the building distribution map of the industrial park, locate the pollution emission sources, take the pollution emission sources as the source points, find the public service facilities closest to the pollution emission sources, where the public service facilities at least include: street lights, traffic lights, and building facades, and mark the deployment locations of the public service facilities as the deployment locations of the sensing devices.

[0097] The judgment module 12 is used to collect meteorological data in the industrial park, where the meteorological data at least includes: wind speed and wind direction. Based on the meteorological data, available points are selected from the public service facilities, and air quality data is collected through the sensing devices at the available points. It is judged whether it exceeds the standard. If so, all the sensing devices are triggered to start, several suspected pollution sources are traversed, the suspected pollution sources are defined as the passing points of the drone, a patrol route is generated, and a take-off instruction is sent to the drone;

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

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

[0100] The reading unit 111 is used to establish the corresponding relationship between the pollution emission source and the sensing device, and read out the number of sensing devices;

[0101] The adjustment unit 112 is used to configure the emission load of each pollution emission source, and adjust the number based on the emission load;

[0102] The correction unit 113 is used to select inspection points from the deployment positions according to the emission load, and correct the inspection route;

[0103] The setting unit 114 is used to set the monitoring frequency corresponding to the emission load one by one, establish the corresponding relationship between the deployment position and the monitoring frequency, and send the monitoring frequency to the corresponding sensing device.

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

[0105] The construction unit 121 is used to construct an emergency treatment plan by using the public service facilities;

[0106] The creation unit 122 is used to create multi-level thresholds, establish the mapping between the thresholds and the emergency treatment plan, and when the air quality data exceeds the threshold, start the emergency treatment plan through the mapping.

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

[0108] A sending unit 131, configured to mark a dangerous area in the building distribution map based on the target pollution source and meteorological data, generate a search task, and send the search task to the unmanned aerial vehicle;

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

[0110] An integration unit 133, configured to establish a synchronous update mechanism for the environmental data and environmental publicity information, and integrate the meteorological data and the dangerous area into the environmental publicity information;

[0111] An embedding unit 134, configured to embed a pre-constructed feedback two-dimensional code into the environmental publicity information and create an opinion feedback channel.

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

[0113] A reading unit 111 is mainly used to complete step S101, an adjustment unit 112 is mainly used to complete step S102, a correction unit 113 is mainly used to complete step S103, and a setting unit 114 is mainly used to complete step S104;

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

[0115] The sending unit 131 is mainly used to complete step S301, the activation unit 132 is mainly used to complete step S302, the integration 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 embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0117] The above embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

[0118] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope 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, take the pollution emission source as the source point, find the public service facility closest to the pollution emission source, wherein the public service facility at least includes: street lights, traffic lights and building exterior walls, and mark the public service facility as the deployment location of the sensor equipment; Acquire meteorological data in the industrial park, wherein the meteorological data at least includes: wind speed and wind direction; based on the meteorological data, select available points from public service facilities, collect air quality data through the sensor equipment at the available points, and determine whether it exceeds the standard; if so, trigger and start all sensor equipment, traverse a number of suspected pollution sources, define the suspected pollution sources as the passing points of the drone, generate an inspection route, and send a take-off command to the drone; Environmental data at the suspected pollution source is collected by 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.

2. The intelligent pollution source dynamic management method according to claim 1 is characterized in that: The step of obtaining a building distribution map of the industrial park and locating a pollution emission source, and taking the pollution emission source as a source point comprises: Establishing a corresponding relationship between the pollution emission source and the sensor equipment, and reading the number of the sensor equipment; The emission load of each of the pollution emission sources is configured, and the quantity is adjusted based on the emission load.

3. The intelligent pollution source dynamic management method according to claim 2 is characterized in that: The step of marking the public service facility as a deployment location of the sensor device comprises: Based on the emission load, selecting inspection points from the deployment positions and correcting the inspection route; A monitoring frequency corresponding to the emission load is set, a corresponding relationship between the deployment position and the monitoring frequency is established, and the monitoring frequency is sent to the corresponding sensor device.

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

5. The intelligent pollution source dynamic management method according to claim 1 is characterized in that: The steps of judging whether the pollution exceeds the standard and, if yes, triggering and starting all the sensing devices to traverse a number of suspected pollution sources include: Utilize the public service facilities to build emergency response plans; 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.

6. The intelligent pollution source dynamic management method according to claim 1 is characterized in that: The step of collecting environmental data at the suspected pollution source by using a drone, comparing the target pollution source, and defining the sensor device at the target pollution source as the target device includes: Based on the target pollution source and meteorological data, dangerous areas are marked in the building distribution map, a search task is generated, and the search task is sent to the drone; The execution result of the search task is obtained, and the pre-built evacuation rules are activated.

7. The intelligent pollution source dynamic management method according to claim 1 is characterized in that: The step of integrating the target device and the environmental data to generate environmental publicity information, and displaying the environmental publicity information using a projection device pre-integrated in a public service facility comprises: Establishing a synchronous updating mechanism for the environmental data and environmental publicity information, and integrating the meteorological data and hazard zones into the environmental publicity information; A pre-built feedback QR code is embedded in the environmental publicity information, and a feedback channel is created.

8. An intelligent pollution source dynamic management system, characterized in that: The system comprises: A marking module is used 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, wherein the public service facilities at least include: street lights, traffic lights and building exterior walls, and mark the public service facilities as the deployment location of the sensor equipment; A judgment module is used to obtain meteorological data in the industrial park, wherein the meteorological data at least includes: wind speed and wind direction. Based on the meteorological data, available points are selected from public service facilities, and air quality data is collected through the sensor equipment at the available points to determine whether it exceeds the standard. If so, all sensor equipment is triggered to start, and several suspicious pollution sources are traversed. The suspicious pollution sources are defined as the passing points of the drone, an inspection route is generated, and a take-off command is sent to the drone; The display module is used to collect environmental data at the suspected pollution source through a drone, compare 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.

9. The intelligent pollution source dynamic management system according to claim 8 is characterized in that: The marking module comprises: A reading unit, used to establish a corresponding relationship between the pollution emission source and the sensor equipment, and read the number of the sensor equipment; An adjustment unit, configured to configure an emission load of each of the pollution emission sources, and adjust the quantity based on the emission load; A correction unit, configured to select a patrol point from the deployment positions and correct the patrol route according to the discharge load; 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.

10. The intelligent pollution source dynamic management system according to claim 8, characterized in that: The judging module comprises: A construction unit, used to construct an emergency response plan using the public service facilities; The creation unit is used to create a multi-level threshold value, establish a mapping between the threshold value and the emergency treatment plan, and when the air quality data exceeds the threshold value, start the emergency treatment plan through the mapping.

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