Industrial park atmospheric environment intelligent supervision system based on cloud platform technology

Abstract

The invention provides an industrial park atmospheric environment intelligent supervision system based on a cloud platform technology, and the system carries out the distributed detection of an industrial park, obtains the environment state feature information of the industrial park, identifies an industrial park map, generates an environment abnormal region distribution map, and carries out the mapping representation of an abnormal region of the park from a low-altitude level. On the basis of the environment anomaly region distribution map, determining a routing inspection path of aerial routing inspection so as to control an aircraft to perform routing inspection over the park to obtain global image data and global atmospheric monitoring data of the park, and performing comprehensive multi-dimensional real detection on the park from a high altitude level; and the global image data and the global atmospheric monitoring data are analyzed to obtain pollution dynamic characteristic information, so that pollution diffusion trend information is predicted, a key area dynamic map is generated, a notification alarm message is sent to a user terminal, and the pollution condition of the park is continuously and reliably supervised. And cloud platform centralized monitoring of different areas in the park is realized.

Description

Technical Field

[0001] The present invention relates to the field of cloud platform management and control, and in particular to an intelligent supervision system for the atmospheric environment of industrial parks based on cloud platform technology. Background Art

[0002] As a concentrated area of industrial production enterprises, industrial parks will inevitably generate pollutants during daily operations. These pollutants may include, but are not limited to, solid waste residues, sewage, waste gas, etc. The state has formulated strict standards and regulations for the treatment of pollutants by industrial production enterprises, and industrial production enterprises are required to treat pollutants in accordance with the corresponding standards and operating procedures to prevent pollutants from leaking into the external environment and causing environmental pollution. In the actual production process, due to equipment aging, improper operation by workers, and illegal emissions by enterprises, pollutants may be discharged into the external environment. In order to effectively monitor environmental protection supervision objects such as industrial parks, relevant departments will regularly inspect all industrial production enterprises within the industrial park. However, this inspection method not only consumes a large amount of manpower and material resources, but also cannot form continuous and comprehensive inspections of all industrial production enterprises, reducing the persistence of environmental protection supervision of industrial parks, unable to obtain real-time and true environmental data of industrial parks, and reducing the reliability of environmental protection supervision of industrial parks. Therefore, it is urgent to introduce advanced information technology and Internet of Things technology, systematically utilize technologies such as big data, cloud computing, sensors, and artificial intelligence, highly integrate and intelligentize each link, realize the intelligent management and operation of chemical industrial parks, and improve the environmental management efficiency, operation safety, and sustainability of the parks. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent supervision system for the atmospheric environment of industrial parks based on cloud platform technology, which conducts distributed detection on the industrial park to obtain the environmental state characteristic information of the industrial park, marks the industrial park map with this information, generates a map of the distribution of abnormal environmental areas, and visually represents the abnormal areas on the map from a low altitude level to provide accurate navigation guidance for subsequent aerial inspections; based on the map of the distribution of abnormal environmental areas, determine the inspection path of the aerial inspection, and control the aircraft to conduct inspections over the park to obtain the global image data and global atmospheric monitoring data of the park, and conduct comprehensive and multi-dimensional real detection of the park from a high altitude level to enrich the environmental monitoring data of the park; analyze the global image data and global atmospheric monitoring data to obtain the dynamic characteristic information of pollution, predict the pollution diffusion trend information with this information, and generate a dynamic map of the key areas of the pollution diffusion exceeding the standard range, so as to send a notification and alarm message to the user terminal, continuously and reliably supervise the pollution situation of the park, and realize cloud platform centralized monitoring of different areas within the park.

[0004] The present invention is realized through the following technical solutions:

[0005] An intelligent environmental supervision system for industrial parks based on cloud platform technology, comprising:

[0006] A distributed pollution detection module, configured to perform distributed detection on the industrial park to obtain environmental status characteristic information of different regions within the industrial park;

[0007] A park pollution identification module, configured to identify the industrial park map based on the environmental status characteristic information to generate a map of the distribution of environmental anomaly regions;

[0008] An inspection path determination module, configured to analyze the map of the distribution of environmental anomaly regions to generate an inspection path for aerial inspection of the industrial park;

[0009] An aerial inspection control module, configured to control at least one aircraft to perform inspection over the industrial park based on the inspection path to obtain global image data and global atmospheric monitoring data of the industrial park;

[0010] An inspection data analysis module, configured to analyze the global image data and the global atmospheric monitoring data to obtain pollution dynamic characteristic information of the industrial park;

[0011] A cloud platform module, configured to predict pollution diffusion change trend information within the industrial park based on the pollution dynamic characteristic information; and generate a dynamic map of key regions of the pollution diffusion exceeding standard range in the industrial park based on the pollution diffusion trend information;

[0012] A notification and alarm module, configured to send notification and alarm messages to sensitive target user terminals such as schools, hospitals, and residential areas in the affected regions covered by the pollution diffusion based on the dynamic map of key regions.

[0013] Optionally, the distributed pollution detection module is configured to perform distributed detection on the industrial park to obtain environmental status characteristic information of different regions inside the industrial park, including:

[0014] Performing distributed near-field vision detection and atmospheric environment detection on several ground location points inside the industrial park and their surrounding areas to obtain near-field images and atmospheric pollutant spectral detection data of each location point and its surrounding area;

[0015] Analyzing the near-field images to obtain the presence status characteristic information of pollution sources of each location point and its surrounding area; wherein, the presence status characteristic information of pollution sources includes the presence location and three-dimensional shape change information of pollution sources of each location point and its surrounding area;

[0016] Analyzing the atmospheric pollutant spectral detection data to obtain the atmospheric pollutant concentration and diffusion information of each location point and its surrounding area;

[0017] Take the location of the pollution source and the information on the change in three-dimensional shape, as well as the concentration and diffusion information of the air pollutants, as the environmental state characteristic information, and send it to the park pollution identification module.

[0018] Optionally, the park pollution identification module is used to identify the industrial park map based on the environmental state characteristic information, and generate an environmental anomaly area distribution map, including:

[0019] Based on the location of the pollution source and the information on the change in three-dimensional shape, determine whether the pollution sources at the corresponding location points and their surrounding areas have not shown a decreasing trend within a preset time interval; if so, based on the location of the pollution source and the information on the change in three-dimensional shape, determine the boundary information of the ground area occupied by the pollution source inside the industrial park;

[0020] Based on the concentration and diffusion information of the air pollutants, determine whether the air pollutants at the corresponding location points and their surrounding areas show a decreasing trend in concentration within a preset time interval; if not, based on the concentration and diffusion information of the air pollutants, determine the boundary information of the air area occupied by the air pollutants inside the industrial park;

[0021] Based on the boundary information of the occupied ground area and the boundary information of the occupied air area, identify the areas on the electronic map of the industrial park to generate an environmental anomaly area distribution map.

[0022] Optionally, the inspection path determination module is used to analyze the environmental anomaly area distribution map and determine the inspection path for aerial inspection of the industrial park, including:

[0023] Obtain the distribution positions and spatial ranges of all environmental anomaly areas inside the environmental anomaly area distribution map, and based on the distribution positions and the spatial ranges, classify and aggregate all environmental anomaly areas to obtain several environmental anomaly area sets;

[0024] Based on the boundary distribution positions and terrain states of all environmental anomaly areas under each environmental anomaly area set, determine the inspection paths for aerial inspection of all environmental anomaly areas under each environmental anomaly area set.

[0025] Optionally, the aerial inspection control module is used to control at least one aircraft to conduct inspections over the industrial park based on the inspection path, and obtain the global image data and global air monitoring data of the industrial park, including:

[0026] Based on the flight altitude and path trajectory shape of the inspection path, determine the aircraft that matches the inspection path, and based on the identity information of the matched aircraft, construct a communication channel with the matched aircraft;

[0027] Generate an inspection flight control instruction based on the path physical parameters of the inspection path; and send the inspection flight control instruction to the matched aircraft via the communication channel, so as to control the matched aircraft to conduct inspections over the industrial park along the inspection path;

[0028] Adjust the shooting action parameters and atmospheric monitoring operation parameters of the matched aircraft for the industrial park based on the inspection flight motion feature information of the matched aircraft, so as to obtain the global image data and global atmospheric monitoring data of the industrial park.

[0029] Optionally, the aerial inspection control module controls at least one aircraft to conduct inspections over the industrial park based on the inspection path, and further includes:

[0030] Step S1, use the following formula (1) to estimate the cost of completing the inspection path according to the inspection path,

[0031]

[0032] In the above formula (1), C represents the cost of completing the inspection path; d i represents the straight-line distance of the i-th section of the path; Δ i represents the height change of the i-th section of the path; represents the slope angle of the i-th section of the path; η i represents the environmental impact coefficient of the i-th section; α represents the influence coefficient of the path height change; ω i represents the weight of the i-th section of the path; n represents the total number of sections of the inspection path;

[0033] Step S2, use the following formula (2) to conduct data quality assessment according to the global image data and global atmospheric monitoring data of the industrial park,

[0034]

[0035] In the above formula (2), Q represents the data quality assessment index; I j represents the quality score of the j-th image data; A j represents the quality score of the j-th atmospheric monitoring data; R j represents the power consumption value required to generate the j-th image data and the j-th atmospheric monitoring data; λ j represents the preset attenuation coefficient; β represents the influence coefficient of power consumption; σ represents the processing time delay; T represents the total data acquisition time; m represents the total amount of data collected;

[0036] Step S3, use the following formula (3) to conduct inspection control according to the cost of completing the inspection path and the data quality assessment index,

[0037] D = k 1 ×Q + k 2 ×(C max - C) θ - k 3 ×Z(3)

[0038] In the above formula (3), D represents the inspection control decision-making index; C max represents the preset maximum acceptable cost; Z represents the total power consumption value; k 1 , k 2 , k 3 all represent weight coefficients; θ represents the preset cost amplification index;

[0039] When D exceeds the preset threshold, adjust the flight path of the aircraft during the inspection path completion; otherwise, keep the flight path of the aircraft during the inspection path completion unchanged.

[0040] Optionally, the inspection data analysis module is used to analyze the global image data and the global atmospheric monitoring data to obtain the pollution dynamic characteristic information of the industrial park, including:

[0041] Perform dynamic time evolution analysis on the global image data to obtain the pollutant diffusion characteristic information of the ground area of the industrial park; based on the pollutant diffusion characteristic information, track the movement of pollutants in the ground area of the industrial park to obtain the source location information and source emission dynamic information of pollutants in the ground area of the industrial park;

[0042] Perform dynamic time evolution analysis on the global atmospheric monitoring data to obtain the pollutant diffusion characteristic information of the atmospheric area of the industrial park; based on the pollutant diffusion characteristic information, track the movement of pollutants in the atmospheric area of the industrial park to obtain the pollutant emission source location information and pollutant emission source emission dynamic information of the atmospheric area of the industrial park;

[0043] Take the source location information, source emission dynamic information, pollutant emission source location information and pollutant emission source emission dynamic information together as the pollution dynamic characteristic information and send it to the cloud platform module.

[0044] Optionally, the cloud platform module is used to predict the pollution diffusion trend information inside the industrial park based on the pollution dynamic characteristic information; and generate a key area dynamic map of the pollution diffusion exceeding standard range of the industrial park based on the pollution diffusion trend information, including:

[0045] Predict the pollutant diffusion trend information of the ground area and the atmospheric area of the industrial park based on the pollution dynamic characteristic information, the geographical characteristic information and the weather characteristic information inside the industrial park;

[0046] Based on the pollutant diffusion trend information, determine the sub-areas affected by pollutants in the ground area and the atmospheric area; and then, based on the boundary characteristic information of the sub-areas affected by pollutants, process and transform the electronic map of the industrial park to generate a dynamic map of the key areas of the pollution diffusion exceeding the standard range in the industrial park.

[0047] Optionally, the notification and alarm module is used to send notification and alarm messages to user terminals based on the dynamic map of the key areas, including:

[0048] Determine all user terminals covered by the dynamic map of the key areas based on the dynamic map of the key areas and the positioning maps of sensitive target user terminals such as schools, hospitals, and residential areas in the industrial park and its surrounding areas;

[0049] Send notification and alarm messages to each user terminal based on the identity information of all user terminals that meet the preset conditions.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] An intelligent environmental supervision system for industrial parks based on cloud platform technology provided by this application conducts distributed detection on industrial parks to obtain the environmental status characteristic information of industrial parks, marks the industrial park maps with this information, generates a map of the distribution of environmental abnormal areas, and maps the abnormal areas from the low altitude level of the park, providing accurate navigation guidance for subsequent aerial inspections; based on the map of the distribution of environmental abnormal areas, determine the inspection path of the aerial inspection, and control the aircraft to conduct inspections over the park to obtain the global image data and global atmospheric monitoring data of the park, and conduct comprehensive multi-dimensional real detection of the park from the high altitude level to enrich the environmental monitoring data of the park; analyze the global image data and global atmospheric monitoring data to obtain pollution dynamic characteristic information, predict the pollution diffusion trend information with this information, and generate a dynamic map of the key areas of the pollution diffusion exceeding the standard range, so as to send notification and alarm messages to the user terminals of sensitive targets such as schools, hospitals, and residential areas in the affected areas covered by the pollution diffusion, continuously and reliably supervise the pollution situation of the park, and realize the cloud platform centralized monitoring of different areas inside the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings. Among them:

[0053] Figure 1 It is a schematic structural diagram of an intelligent supervision system for the atmospheric environment of an industrial park based on cloud platform technology provided by the present invention. Detailed implementation manners

[0054] To make the above objects, features, and advantages of the present application more obvious and understandable, the following will make a detailed description of the specific implementation manners of the present application in conjunction with the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, it should be noted that for the convenience of description, only the parts related to the present application rather than all the structures are shown in the accompanying drawings. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0055] The terms "including" and "having" and any variations thereof in the present application are intended to cover non-exclusive inclusion. For example, a process, system, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, systems, products, or devices.

[0056] Referring to "embodiment" herein means that the specific features, structures, or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0057] Please refer to Figure 1 As shown, an intelligent supervision system for the atmospheric environment of an industrial park based on cloud platform technology provided by an embodiment of the present application. The intelligent supervision system for the atmospheric environment of an industrial park based on cloud platform technology includes:

[0058] A distributed pollution detection module, used to perform distributed detection on the industrial park to obtain the environmental state characteristic information of different regions within the industrial park;

[0059] The park pollution identification module is used to identify the industrial park map based on the environmental status characteristic information and generate a map of the distribution of environmental abnormal areas;

[0060] The inspection path determination module is used to analyze the map of the distribution of environmental abnormal areas and generate an inspection path for aerial inspection of the industrial park;

[0061] The aerial inspection control module is used to control at least one aircraft to conduct inspections over the industrial park based on the inspection path, and obtain the global image data and global atmospheric monitoring data of the industrial park;

[0062] The inspection data analysis module is used to analyze the global image data and the global atmospheric monitoring data to obtain the pollution dynamic characteristic information of the industrial park;

[0063] The cloud platform module is used to predict the pollution diffusion trend information inside the industrial park based on the pollution dynamic characteristic information; and generate a dynamic map of key areas of the pollution diffusion exceeding the standard range in the industrial park based on the pollution diffusion trend information;

[0064] The notification and alarm module is used to send notification and alarm messages to sensitive target user terminals such as schools, hospitals, and residential areas in the affected areas covered by the pollution diffusion based on the dynamic map of key areas.

[0065] The beneficial effects of the above embodiments are as follows: The intelligent supervision system for the atmospheric environment of the industrial park based on the cloud platform technology conducts distributed detection on the industrial park to obtain the environmental status characteristic information of the industrial park, and uses this to identify the industrial park map and generate a map of the distribution of environmental abnormal areas, providing an accurate navigation guide for subsequent aerial inspections by map-based representation of abnormal areas at the low altitude level; based on the map of the distribution of environmental abnormal areas, determine the inspection path for aerial inspection, and use this to control the aircraft to conduct inspections over the park to obtain the global image data and global atmospheric monitoring data of the park, providing a comprehensive multi-dimensional real detection of the park from the high altitude level and enriching the park environmental monitoring data; analyze the global image data and the global atmospheric monitoring data to obtain the pollution dynamic characteristic information, and use this to predict the pollution diffusion trend information and generate a dynamic map of key areas of the pollution diffusion exceeding the standard range, so as to send notification and alarm messages to user terminals, continuously and reliably supervise the pollution situation of the park, and realize cloud platform-based centralized monitoring of different areas inside the park.

[0066] In another embodiment, the distributed pollution detection module is used to conduct distributed detection on the industrial park to obtain the environmental status characteristic information of different areas inside the industrial park, including:

[0067] Perform distributed near-field visual detection and atmospheric environment detection on several ground location points and their surrounding areas within the industrial park to obtain near-field images and atmospheric pollutant spectral detection data for each location point and its surrounding area;

[0068] Analyze the near-field images to obtain the source existence status characteristic information for each location point and its surrounding area; wherein, the source existence status characteristic information includes the source existence location and three-dimensional shape change information for each location point and its surrounding area;

[0069] Analyze the atmospheric pollutant spectral detection data to obtain the atmospheric pollutant concentration and diffusion information for each location point and its surrounding area;

[0070] Use the source existence location and three-dimensional shape change information and the atmospheric pollutant concentration and diffusion information together as environmental status characteristic information and send it to the park pollution identification module.

[0071] The beneficial effects of the above embodiments are as follows. Cameras and pollutant optical detection sensors are pre-set at different ground location points within the industrial park; among them, the cameras are used to visually capture the ground location points and their surrounding areas to obtain near-field images; the pollutant optical detection sensors are used to perform optical scanning detection on the ground location points and their surrounding areas to obtain the pollutant spectral data of the corresponding atmospheric region (i.e., atmospheric pollutant spectral detection data), so that visual images and atmospheric pollutant status detection can be performed on the ground location points and their surrounding areas, realizing multi-dimensional detection of the ground location points and their surrounding areas. Then, pixel contour recognition is performed on the near-field images to obtain the source existence status characteristic information for each location point and its surrounding area, thereby calibrating the physical existence status of the pollution sources for each location point and its surrounding area. And the concentration and diffusion state of pollutants in the atmospheric environment (such as movement speed and direction, etc.) will affect the scattering performance of the light irradiated into the atmospheric environment (such as scattered light intensity and scattering direction). By analyzing the pollutant scattering spectral data, the atmospheric pollutant concentration and diffusion information for each location point and its surrounding area are inversely determined. Also, use the source existence location and three-dimensional shape change information and the atmospheric pollutant concentration and diffusion information together as environmental status characteristic information and send it to the park pollution identification module, which is convenient for the park pollution identification module to map and represent the industrial park.

[0072] In another embodiment, the park pollution identification module is used to identify the industrial park map based on the environmental status characteristic information and generate an environmental anomaly area distribution map, including:

[0073] Based on the location where the pollution source exists and the information on the change of its three-dimensional shape, determine whether the pollution source at the corresponding location point and its surrounding area has not shown a decreasing trend within a preset time interval; if so, based on the location where the pollution source exists and the information on the change of its three-dimensional shape, determine the boundary information of the ground area occupied by the pollution source within the industrial park;

[0074] Based on the concentration and diffusion information of the air pollutants, determine whether the air pollutants at the corresponding location point and its surrounding area show a decreasing trend in concentration within a preset time interval; if not, based on the concentration and diffusion information of the air pollutants, determine the boundary information of the air area occupied by the air pollutants within the industrial park;

[0075] Based on the boundary information of the ground area occupied and the boundary information of the air area occupied, perform area marking on the electronic map of the industrial park to generate a distribution map of environmental anomaly areas.

[0076] The beneficial effects of the above embodiments are as follows: perform an evolution analysis on the location where the pollution source exists and the information on the change of its three-dimensional shape within a preset time interval, and determine whether the pollution source at the corresponding location point and its surrounding area has not shown a decreasing trend within a preset time interval. If so, it indicates that the anomalies at the corresponding location point and its surrounding area will accumulate and increase, thus forming an increasing occupied range within the industrial park, and then determine the boundary information of the ground area occupied by the pollution source within the industrial park. And perform an evolution analysis on the concentration and diffusion information of the air pollutants within a preset time interval, and determine whether the air pollutants at the corresponding location point and its surrounding area show a decreasing trend in concentration within a preset time interval, so as to accurately judge whether the air pollutants are aggregated, and then determine the boundary information of the air area occupied by the air pollutants within the industrial park. Additionally, based on the boundary information of the ground area occupied and the boundary information of the air area occupied, perform corresponding area boundary marking on the electronic map of the industrial park to generate a distribution map of environmental anomaly areas, so as to accurately map and represent all environmental anomaly areas within the industrial park.

[0077] In another embodiment, the inspection path determination module is used to analyze the distribution map of environmental anomaly areas to determine the inspection path for aerial inspection of the industrial park, including:

[0078] Obtain the distribution positions and spatial ranges of all environmental anomaly areas within the distribution map of environmental anomaly areas, and based on the distribution positions and the spatial ranges, classify and aggregate all environmental anomaly areas to obtain several environmental anomaly area sets;

[0079] Based on the boundary distribution positions and terrain states of all environmental anomaly areas under each environmental anomaly area set, determine the inspection paths for aerial inspection of all environmental anomaly areas under each environmental anomaly area set.

[0080] The beneficial effects of the above embodiments are as follows. The environmental anomaly areas corresponding to the environmental anomaly area distribution map can be, but are not limited to, areas where pollution sources gather in industrial parks. The spatial ranges (such as area ranges) of the distribution positions of different environmental anomaly areas within the industrial park are not the same. In order to accurately and comprehensively conduct aerial inspection and monitoring of all environmental anomaly areas in the industrial park in the follow-up, based on the distribution positions and spatial ranges of all environmental anomaly areas, all environmental anomaly areas are classified and aggregated to obtain several environmental anomaly area sets, such that the distances between all environmental anomaly areas under each environmental anomaly area set are within a preset distance range, that is, all environmental anomaly areas under each environmental anomaly area set are relatively concentrated, facilitating subsequent global and non-omissive monitoring of all environmental anomaly areas under the environmental anomaly area set during a single aerial inspection. Additionally, based on the boundary distribution positions and terrain states of all environmental anomaly areas under each environmental anomaly area set, the inspection paths for aerial inspection of all environmental anomaly areas under each environmental anomaly area set are determined, such that the inspection paths can be adaptively matched to all environmental anomaly areas.

[0081] In another embodiment, the aerial inspection control module is used to control at least one aircraft to conduct inspections over the industrial park based on the inspection path, and obtain the global image data and global atmospheric monitoring data of the industrial park, including:

[0082] Based on the flight altitude and path trajectory shape of the inspection path, determine the aircraft that matches the inspection path, and based on the identity information of the matched aircraft, construct a communication channel with the matched aircraft;

[0083] Generate inspection flight control instructions based on the path physical parameters of the inspection path; and send the inspection flight control instructions to the matched aircraft via the communication channel, thereby controlling the matched aircraft to conduct inspections over the industrial park along the inspection path;

[0084] Adjust the shooting action parameters and atmospheric monitoring operation parameters of the matched aircraft for the industrial park based on the inspection flight motion characteristic information of the matched aircraft, thereby obtaining the global image data and global atmospheric monitoring data of the industrial park.

[0085] The beneficial effects of the above embodiments are as follows: obtain the flight altitude of the inspection path and the path trajectory shape in three-dimensional space, and filter all aircraft based on this to determine the aircraft that matches the inspection path, so that the selected matching aircraft can have sufficient performance to complete the flight task along the inspection path. And based on the identity information of the matching aircraft, construct a communication channel with the matching aircraft; also generate corresponding inspection flight control instructions based on path physical parameters such as the path length and path curvature radius distribution of the inspection path, and send them to the matching aircraft, so as to control the matching aircraft to conduct inspections over the industrial park along the inspection path. Additionally, based on inspection flight motion characteristic information such as the flight speed and flight attitude angle of the matching aircraft, adjust the shooting action parameters (such as shooting direction, shooting focal length, and shooting field of view angle, etc.) and atmospheric monitoring operation parameters (such as atmospheric monitoring operation frequency and atmospheric monitoring operation coverage range, etc.) of the matching aircraft for the industrial park, so as to obtain the global image data and global atmospheric monitoring data of the industrial park, and conduct comprehensive multi-dimensional real detection of the park from the high altitude layer, enriching the park environmental monitoring data.

[0086] In another embodiment, the aerial inspection control module controls at least one aircraft to conduct inspections over the industrial park based on the inspection path, and further includes:

[0087] Step S1, use the following formula (1) to estimate the cost of completing the inspection path according to the inspection path,

[0088]

[0089] In the above formula (1), C represents the cost of completing the inspection path; d i represents the straight-line distance of the i-th section of the path; Δ i represents the height change of the i-th section of the path; represents the slope angle of the i-th section of the path; η i represents the environmental impact coefficient of the i-th section; α represents the influence coefficient of the path height change; ω i represents the weight of the i-th section of the path; n represents the total number of sections of the inspection path;

[0090] Step S2, use the following formula (2) to conduct data quality assessment according to the global image data and global atmospheric monitoring data of the industrial park,

[0091]

[0092] In the above formula (2), Q represents the data quality assessment index; I j represents the quality score of the j-th image data; A j represents the quality score of the j-th atmospheric monitoring data; R jrepresents the power consumption value required to generate the j-th image data and the j-th atmospheric monitoring data; λ j represents a preset attenuation coefficient; β represents the influence coefficient of power consumption; σ represents the processing time delay; T represents the total data acquisition time; m represents the total amount of data collected;

[0093] Step S3, using the following formula (3), perform patrol control according to the cost of completing the patrol path and the data quality evaluation index,

[0094] D = k 1 ×Q + k 2 ×(C max - C) θ - k 3 ×Z(3)

[0095] In the above formula (3), D represents the patrol control decision index; C max represents the preset maximum acceptable cost; Z represents the total power consumption value; k 1 , k 2 , k 3 all represent weight coefficients; θ represents the preset cost amplification index;

[0096] When D exceeds the preset threshold, adjust the flight path of the aircraft during the process of completing the patrol path; otherwise, keep the flight path of the aircraft during the process of completing the patrol path unchanged.

[0097] The beneficial effects of the above embodiments are as follows: Using the above formula (1), according to the patrol path, estimate the cost of completing the patrol path, considering the influence of the straight-line distance and height change, which can comprehensively reflect the contribution of different path segments to the overall patrol efficiency, and ensure that the aircraft can complete the task under the most economical conditions; then using the above formula (2), according to the global image data and global atmospheric monitoring data of the industrial park, conduct data quality evaluation, by scoring the collected image data and atmospheric monitoring data, calculate the data quality evaluation index per unit time, aiming to quantify the effectiveness of the data, and ensure that the patrol task can provide reliable information; then using the above formula (3), according to the cost of completing the patrol path and the data quality evaluation index, perform patrol control, comprehensively considering data quality, patrol path cost and resource consumption, generate a control decision index, aiming to maximize data quality and optimize cost while minimizing resource consumption, and by adjusting the weight coefficients, flexible control can be carried out according to the requirements of different tasks.

[0098] In another embodiment, the patrol data analysis module is used to analyze the global image data and the global atmospheric monitoring data to obtain the pollution dynamic characteristic information of the industrial park, including:

[0099] Perform dynamic time evolution analysis on the global image data to obtain the pollutant diffusion characteristic information of the ground area of the industrial park; based on the pollutant diffusion characteristic information, track the movement of pollutants in the ground area of the industrial park to obtain the source location information and source emission dynamic information of pollutants in the ground area of the industrial park;

[0100] Perform dynamic time evolution analysis on the global air monitoring data to obtain the pollutant diffusion characteristic information of the air area of the industrial park; based on the pollutant diffusion characteristic information, track the movement of pollutants in the air area of the industrial park to obtain the pollutant emission source location information and pollutant emission source emission dynamic information of the air area of the industrial park;

[0101] Use the source location information, source emission dynamic information, pollutant emission source location information and pollutant emission source emission dynamic information together as pollution dynamic characteristic information and send it to the cloud platform module.

[0102] The beneficial effects of the above embodiments are as follows: perform dynamic time evolution analysis on the global image data to obtain the pollutant diffusion characteristic information of the ground area of the industrial park. The pollutant diffusion characteristic information can be, but is not limited to, the movement speed and movement direction of pollutants. Based on this, track the movement of pollutants in the ground area of the industrial park to obtain the source location information and source emission dynamic information of pollutants in the ground area of the industrial park, and accurately determine the physical state of the pollution source in the ground area of the industrial park; also perform dynamic time evolution analysis on the global air monitoring data to obtain the pollutant diffusion characteristic information of the air area of the industrial park. The pollutant diffusion characteristic information can be, but is not limited to, the movement speed and movement direction of pollutants. Based on this, track the movement of pollutants in the air area of the industrial park to obtain the pollutant emission source location information and pollutant emission source emission dynamic information of the air area of the industrial park, and accurately determine the physical state of the pollutant emission source in the industrial park, providing a reliable data basis for the subsequent dynamic map representation of the change of the pollution situation inside the industrial park.

[0103] In another embodiment, the cloud platform module is used to predict the pollution diffusion trend information in the industrial park based on the pollution dynamic characteristic information; and based on the pollution diffusion trend information, generate a key area dynamic map of the pollution diffusion exceeding the standard range in the industrial park, including:

[0104] Predict the pollutant diffusion trend information of the ground area and air area of the industrial park based on the pollution dynamic characteristic information, the geographical characteristic information and weather characteristic information inside the industrial park;

[0105] Based on the pollutant diffusion trend information, determine the sub-regions of the ground area and the atmospheric area affected by the pollutant; then, based on the boundary feature information of the sub-regions affected by the pollutant, process and transform the electronic map of the industrial park to generate a dynamic map of the key areas within the scope of excessive pollutant diffusion in the industrial park.

[0106] The beneficial effects of the above embodiments are as follows: Geographical feature information such as the undulating terrain height within the industrial park and weather feature information such as wind speed / direction will affect the pollutant diffusion trend. Based on this pollution dynamic feature information, geographical feature information, and weather feature information within the industrial park, predict the pollutant diffusion trend information of the ground area and the atmospheric area in the industrial park, so as to accurately and comprehensively characterize the pollutant diffusion in the ground area and the atmospheric area of the industrial park. Additionally, based on the pollutant diffusion trend information, determine the boundary feature information of the sub-regions of the ground area and the atmospheric area affected by the pollutant, and use this to process and transform the electronic map of the industrial park to generate a dynamic map of the key areas within the scope of excessive pollutant diffusion in the industrial park, thereby dynamically mapping the changes in the pollution situation within the industrial park.

[0107] In another embodiment, the notification and alarm module is used to send notification and alarm messages to user terminals based on the dynamic map of the key areas, including:

[0108] Based on the dynamic map of the key areas and the user terminal location maps of sensitive targets such as schools, hospitals, and residential areas in and around the industrial park, determine all user terminals covered by the dynamic map of the key areas;

[0109] Send notification and alarm messages to each user terminal based on the identity information of all user terminals that meet the preset conditions.

[0110] The beneficial effects of the above embodiments are as follows: Scan and locate all user terminals within the industrial park to generate a user terminal location map of the industrial park, thereby globally locating and characterizing all user terminals. Then, compare the dynamic map of the key areas with the user terminal location map of the industrial park to identify all user terminals within the coverage of the dynamic map of the key areas and screen out the user terminals. Additionally, send notification and alarm messages to each user terminal based on the identity information of all user terminals that meet the preset conditions, which is convenient for on-site detection of corresponding sub-regions in the industrial park and improves the centralized monitoring level of the cloud platform for different regions within the industrial park.

[0111] Generally speaking, the intelligent supervision system for the atmospheric environment of industrial parks based on cloud platform technology conducts distributed detection on industrial parks, obtains the environmental status characteristic information of industrial parks, marks the industrial park map with this information, generates the distribution map of environmental abnormal areas, and conducts map-based characterization of abnormal areas at the low altitude level of the park, providing accurate navigation guidance for subsequent aerial inspections; based on the distribution map of environmental abnormal areas, determines the inspection path of aerial inspections, controls the aircraft to conduct inspections over the park with this, obtains the global image data and global atmospheric monitoring data of the park, conducts comprehensive multi-dimensional real detection on the park from the high altitude level, and enriches the environmental monitoring data of the park; analyzes the global image data and global atmospheric monitoring data, obtains the pollution dynamic characteristic information, predicts the pollution diffusion trend information with this, and generates the dynamic map of the key areas of the pollution diffusion exceeding the standard range, so as to send notification and alarm messages to the user terminal, continuously and reliably supervise the pollution situation of the park, and realize the cloud platform centralized monitoring of different areas inside the park.

[0112] The above is only a specific implementation manner of the present invention, and any improvement made on the premise of the present invention concept is regarded as the protection scope of the present invention.

Claims

1. An intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology, characterized in that: include: A distributed pollution detection module is used to perform distributed detection on the industrial park to obtain environmental status characteristic information of different areas of the industrial park; A park pollution identification module is used to identify the industrial park map based on the environmental quality status characteristic information and generate a distribution map of environmental abnormality areas; An inspection path determination module is used to analyze the distribution map of the environmental abnormality area and generate an inspection path for aerial inspection of the industrial park; An aerial inspection control module, used to control at least one aircraft to perform inspection over the industrial park based on the inspection path, and obtain global image data and global atmospheric monitoring data of the industrial park; An inspection data analysis module, used to analyze the global image data and the global atmospheric monitoring data to obtain dynamic characteristic information of pollution in the industrial park; A cloud platform module, used to predict the pollution diffusion trend information of the industrial park based on the pollution dynamic characteristic information; Based on the pollution diffusion trend information, a dynamic map of key areas where the pollution diffusion in the industrial park exceeds the standard is generated; The notification alarm module is used to send notification alarm messages to sensitive target user terminals such as schools, hospitals, residential areas, etc. in the affected areas covered by the pollution spread based on the dynamic map of the key areas.

2. The intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology according to claim 1, characterized in that: The distributed pollution detection module is used to perform distributed detection on the industrial park to obtain environmental status characteristic information of different areas in the industrial park, including: Conduct distributed near-field visual inspection and atmospheric environmental quality inspection on several ground locations in the industrial park and their surrounding areas, and obtain near-field images and atmospheric pollutant spectral detection data for each location and its surrounding areas; Analyze the near-field image to obtain the pollution source existence status characteristic information of each location point and its surrounding area; wherein the pollution source existence status characteristic information includes the pollution source existence position and three-dimensional shape change information of each location point and its surrounding area; analyze the atmospheric pollutant spectrum detection data to obtain the atmospheric pollutant concentration and diffusion information of each location point and its surrounding area; The location and three-dimensional shape change information of the pollution source and the concentration and diffusion information of the atmospheric pollutants are used together as environmental state characteristic information and sent to the park pollution identification module.

3. The intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology as claimed in claim 2 is characterized by: The industrial park pollution identification module is used to identify the industrial park map based on the environmental state characteristic information and generate an environmental abnormality area distribution map, including: Based on the location and three-dimensional shape change information of the pollution source, determine whether the pollution source at the corresponding location point and its surrounding area has not shown a decreasing trend within a preset time interval; if so, determine the boundary information of the ground area occupied by the pollution source within the industrial park based on the location and three-dimensional shape change information of the pollution source; Based on the concentration and diffusion information of the atmospheric pollutants, determine whether the atmospheric pollutants at the corresponding location and its surrounding area show a decreasing concentration trend within a preset time interval; if not, determine the boundary information of the atmospheric area occupied by the atmospheric pollutants within the industrial park based on the concentration and diffusion information of the atmospheric pollutants; Based on the boundary information of the occupied ground area and the boundary information of the occupied atmosphere area, the electronic map of the industrial park is marked with regions to generate a distribution map of environmental abnormality areas.

4. The industrial park smart environment monitoring system based on cloud platform technology as claimed in claim 1, characterized in that: The inspection path determination module is used to analyze the distribution map of the abnormal environment area and determine the inspection path for aerial inspection of the industrial park, including: Obtaining the distribution positions and spatial ranges of all environmental anomaly areas within the environmental anomaly area distribution map, and classifying and aggregating all environmental anomaly areas based on the distribution positions and the spatial ranges to obtain a plurality of environmental anomaly area sets; The relative position relationship of the regional boundaries of all the environmental abnormality areas under each environmental abnormality area set is identified, and the inspection path for aerial inspection of all the environmental abnormality areas under each environmental abnormality area set is determined.

5. The industrial park smart environment monitoring system based on cloud platform technology as claimed in claim 4, characterized in that: The aerial inspection control module is used to control at least one aircraft to perform inspection over the industrial park based on the inspection path, and obtain global image data and global atmospheric monitoring data of the industrial park, including: Based on the flight altitude and path trajectory shape of the inspection path, determining an aircraft matching the inspection path, and based on the identity information of the matching aircraft, establishing a communication channel with the matching aircraft; Based on the path physical parameters of the inspection path, an inspection flight control instruction is generated; and based on the communication channel, the inspection flight control instruction is sent to the matched aircraft, so as to control the matched aircraft to perform inspection over the industrial park along the inspection path; based on the inspection flight motion characteristic information of the matched aircraft, the shooting action parameters and atmospheric monitoring operation parameters of the matched aircraft for the industrial park are adjusted, so as to obtain global image data and global atmospheric monitoring data of the industrial park.

6. The industrial park smart environment monitoring system based on cloud platform technology as claimed in claim 4, characterized in that: The aerial inspection control module controls at least one aircraft to perform inspection over the industrial park based on the inspection path, and further includes: Step S1, using the following formula (1), based on the inspection path, estimate the cost of completing the inspection path: In the above formula (1), C represents the cost of completing the inspection path; d i represents the straight-line distance of the i-th path; Δ i represents the height change of the i-th path; represents the slope angle of the i-th path; η i represents the environmental impact coefficient of the i-th segment; α represents the impact coefficient of the path height change; ω i represents the weight of the i-th path; n represents the total number of inspection paths; Step S2, using the following formula (2), based on the global image data and global atmospheric monitoring data of the industrial park, perform data quality assessment: In the above formula (2), Q represents the data quality assessment index; I j A represents the quality score of the jth image data; j represents the quality score of the jth atmospheric monitoring data; R j represents the power consumption value required to generate the j-th image data and the j-th atmospheric monitoring data; j represents the preset attenuation coefficient; β represents the influence coefficient of power consumption; σ represents the processing time delay; T represents the total data collection time; m represents the total amount of data collected; Step S3, using the following formula (3), perform inspection control according to the cost of completing the inspection path and the data quality evaluation index, D=k1×Q+k2×(C max -C) θ -k3×Z(3) In the above formula (3), D represents the inspection control decision index; C max represents the preset maximum acceptable cost; Z represents the total power consumption value; k1, k2, k3 all represent weight coefficients; θ represents the preset cost magnification index; When D exceeds a preset threshold, the flight path of the aircraft is adjusted during the inspection process; Otherwise, the flight path of the aircraft during the inspection path is kept unchanged.

7. The intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology as claimed in claim 5, characterized in that: The inspection data analysis module is used to analyze the global image data and the global atmospheric monitoring data to obtain the pollution dynamic characteristic information of the industrial park, including: Performing dynamic time evolution analysis on the global image data to obtain pollutant diffusion characteristic information of the ground area of ​​the industrial park; based on the pollutant diffusion characteristic information, tracking the movement of pollutants in the ground area of ​​the industrial park to obtain the pollution source location information and pollution source emission dynamic information of the ground area of ​​the industrial park; Performing dynamic time evolution analysis on the global atmospheric monitoring data to obtain atmospheric pollutant diffusion characteristic information of the industrial park; based on the pollutant diffusion characteristic information, tracking the movement of atmospheric pollutants in the industrial park to obtain the location information of atmospheric pollutant emission sources and emission dynamic information of emission sources in the industrial park; The pollution source location information, pollution source emission dynamic information, pollutant emission source location information and emission source emission dynamic information are collectively used as pollution dynamic characteristic information and sent to the cloud platform module.

8. The intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology as claimed in claim 5, characterized in that: The cloud platform module is used to predict the pollution diffusion trend information within the industrial park based on the pollution dynamic characteristic information; Based on the pollution diffusion trend information, a dynamic map of key areas where pollution diffusion exceeds the standard in the industrial park is generated, including: Based on the pollution dynamic characteristic information and the geographical characteristic information and weather characteristic information inside the industrial park, predict the pollutant diffusion trend information of the ground area and the atmospheric area of ​​the industrial park; Based on the pollutant diffusion trend information, the sub-areas of the ground area and the atmospheric area affected by pollutants are determined; then based on the boundary feature information of the sub-areas affected by pollutants, the electronic map of the industrial park is processed and converted to generate a dynamic map of key areas where pollution diffusion exceeds the standard in the industrial park.

9. The intelligent monitoring system for atmospheric environment in industrial parks based on cloud platform technology as claimed in claim 5, characterized in that: The notification alarm module is used to send a notification alarm message to a user terminal based on the key area dynamic map, including: Based on the key area dynamic map and the sensitive target user terminal positioning map of schools, hospitals, residential areas, etc. in the industrial park and surrounding areas, determine all user terminals covered by the key area dynamic map; Based on the respective identity information of all user terminals that meet the preset conditions, a notification alarm message is sent to each user terminal.

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