Method and device for detecting and evaluating river and lake water pollution

Abstract

The invention discloses a river and lake water pollution detection and evaluation method and device, and relates to the technical field of water pollution detection. The method comprises the following steps: receiving a first image sent by target equipment; analyzing the first image to obtain a target analysis result; if the target analysis result is in an abnormal state, performing position identification on the first image to obtain first position information; sending the first position information to the target floating equipment so as to control the target floating equipment to move to the first position information; receiving first monitoring data sent by the target floating device; judging whether the first monitoring data is smaller than or equal to the second monitoring data; and when the first monitoring data is greater than the second monitoring data, determining that the target river and lake are in a water pollution state, determining a treatment measure according to the water pollution state, and outputting a target evaluation result. According to the technical scheme provided by the invention, the intelligent evaluation and processing mode not only improves the evaluation accuracy, but also reduces the burden of manual processing.

Description

Technical Field

[0001] The present application relates to the technical field of water pollution detection, and specifically to a method and device for detecting and evaluating river and lake water pollution. Background Art

[0002] As the core water resources of many regions, the water quality of rivers and lakes is directly related to the safety of drinking water for residents and the public health of society. Therefore, it is particularly important to implement a regular and accurate water quality monitoring mechanism to capture water quality change signals in real time, effectively warn of potential pollution risks, and ensure the safety and purity of the water supply system.

[0003] When monitoring water pollution in rivers and lakes, the scientific and reasonable layout of monitoring points is a prerequisite for obtaining comprehensive and accurate water quality data. This requires the specific geographical features, hydrological characteristics and monitoring objectives of rivers and lakes to ensure the representativeness of the monitoring results. Subsequently, professional monitoring personnel need to carry relevant equipment to each monitoring point and follow strict operating procedures to perform water sample collection tasks. The collected water samples are then sent to the laboratory for detailed analysis to obtain the corresponding water quality analysis report. However, faced with the need for multiple monitoring points in a vast water area, the traditional manual sampling and analysis mode is easily interfered by human factors, resulting in inaccurate evaluation results.

[0004] Therefore, there is an urgent need for a method and device for detecting and evaluating river and lake water pollution that can solve the above-mentioned technical problems. Summary of the invention

[0005] The present application provides a method and device for detecting and evaluating water pollution in rivers and lakes. The method can accurately identify abnormal conditions in the water area by performing a detailed analysis of a first image taken by a drone, identify the position of the abnormal image, obtain accurate first position information, control the target floating device to move to the first position information, and monitor the abnormal first position. Based on the intelligent analysis of the monitoring data, it can automatically determine whether the water area is in a water pollution state, and then determine the treatment measures according to the degree of pollution. The intelligent evaluation and treatment method not only improves the accuracy of the evaluation, but also reduces the burden of manual processing.

[0006] In the first aspect, the present application provides a method for detecting and evaluating water pollution in rivers and lakes, which is applied to a server, and the method includes: receiving a first image sent by a target device, the target device is a drone device, and the first image is an image obtained by photographing the surface of a target river or lake using the drone device; analyzing the first image to obtain a target analysis result; if the target analysis result is in an abnormal state, performing position identification on the first image to obtain first position information, the first position information being the position information corresponding to the first image on the surface of the target river or lake; sending the first position information to a target floating device to control the target floating device to move to the first position information; receiving first monitoring data sent by the target floating device; determining whether the first monitoring data is less than or equal to the second monitoring data, the second monitoring data being normal monitoring data corresponding to the first position information; when the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in a water pollution state, determining treatment measures according to the water pollution state, and outputting a target evaluation result, the target evaluation result including the water pollution state and treatment measures.

[0007] By adopting the above technical solution, the surface of the target river or lake is scanned based on the UAV equipment, and then the first image taken by the UAV equipment is obtained. The first image can be analyzed in detail to accurately identify abnormal conditions in the water area, and then the position of the abnormal image is identified to obtain precise position information, providing accurate positioning for subsequent processing, and then the target floating device is controlled to enable it to move rapidly to further monitor the abnormal position. The first monitoring data obtained is intelligently analyzed to automatically determine whether the water area is in a water pollution state, and determine the corresponding treatment measures according to the water pollution state. This intelligent evaluation and processing not only improves the accuracy of the evaluation, but also reduces the burden of manual processing, providing comprehensive data support for subsequent governance and supervision.

[0008] Optionally, before performing position identification on the first image to obtain the first position information, the method also includes: dividing the surface of the target river or lake according to preset rules to obtain multiple grid areas; obtaining coordinate information corresponding to each grid area in the target coordinate system, one grid area corresponds to one coordinate information; photographing each grid area according to the coordinate information to obtain multiple second images, one second image corresponds to one grid area, and one second image corresponds to one coordinate information.

[0009] By adopting the above technical solution, the surface of the target river or lake is divided into multiple grid areas, making the monitoring work more refined. By photographing the grid area through coordinate information, it can be ensured that each area is covered to avoid repeated shooting or omissions. Each second image corresponds to a grid area and coordinate information. Once an abnormality is found in a grid area, the coordinate information can be determined based on the second image.

[0010] Optionally, the position of the first image is identified to obtain first position information, which specifically includes: obtaining a third image from multiple second images; comparing the first image with the third image; if the first image is consistent with the third image, confirming that the second position information corresponding to the third image is obtained, and outputting the second position information as the first position information.

[0011] By adopting the above technical solution and comparing the first image with the third image, it can be verified whether the abnormal situation reflected by the first image actually exists in a specific grid area. When the first image is consistent with the third image, it means that the grid area is the location where the abnormality occurs. Obtaining the second position information corresponding to the grid area helps to reduce errors caused by misjudgment and reduce the amount of calculation and processing time.

[0012] Optionally, sending the first position information to the target floating device so as to control the target floating device to move to the first position information specifically includes: obtaining third position information corresponding to the target floating device; inputting the third position information and the first position information into a preset path database for matching to obtain a first planned path; and controlling the target floating device to move according to the first planned path.

[0013] By adopting the above technical solution, the current position of the target floating device, that is, the third position information, is first obtained, and the third position information and the first position information are input into the preset path database, so that the optimal path from the third position to the first position can be quickly calculated, thereby avoiding blindness and unnecessary detours of the target floating device during movement, improving movement efficiency, and helping the target floating device to accurately reach the first position based on the first planned path to perform monitoring tasks.

[0014] Optionally, after controlling the target floating device to move according to the first planned path, the method also includes: obtaining fourth position information corresponding to the target floating device at a preset time interval; determining whether the fourth position information is the same as the first position information; if the fourth position information is different from the first position information, confirming that the target floating device is in a mobile failure state, and the fourth position information and the first position information need to be input into a preset path database for matching to obtain a second planned path; and controlling the target floating device to move according to the second planned path.

[0015] By adopting the above technical solution, the fourth position information of the target floating device is obtained at preset intervals, and the moving state of the target floating device is monitored in real time. Once it is found that the target floating device fails to reach the first position as expected, the fault is confirmed and the path is replanned immediately to ensure that the target floating device can resume normal movement as soon as possible, thereby improving the reliability and flexibility of the movement of the target floating device.

[0016] Optionally, before determining whether the first monitoring data is less than or equal to the second monitoring data, the method also includes: obtaining target environmental facilities corresponding to the surface of the target river or lake; determining the pollution detection type based on the target environmental facilities and the target time, the target time being the time corresponding to when the first image is obtained, and the pollution detection types include industrial pollution type, agricultural pollution type and domestic pollution type; based on the pollution detection type, determining to use the target floating device to obtain the corresponding target monitoring data, and outputting the target monitoring data as the first monitoring data.

[0017] By adopting the above-mentioned technical solution, the environmental facilities on the surface of the target rivers and lakes can be identified, and the possible pollution types can be accurately determined in combination with the target time. This precise pollution detection helps to reduce blind monitoring and improve the pertinence and effectiveness of monitoring. By selecting appropriate monitoring equipment and methods according to the type of pollution detection, it can ensure the efficient use of resources, obtain different types of pollution monitoring data, and provide more comprehensive data support for environmental protection departments.

[0018] Optionally, the water pollution status includes the industrial pollution status, the agricultural pollution status and the domestic pollution status, and the treatment measures include the first treatment measure, the second treatment measure and the third treatment measure. When the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in a water pollution status, and the treatment measures are determined according to the water pollution status, and the target evaluation result is output. The target evaluation result includes the water pollution status and the treatment measures, specifically including: when the pollution detection type is the industrial pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in an industrial pollution status, and the first treatment measure is determined according to the industrial pollution status. The first treatment measure includes strengthening the supervision measures on industrial wastewater discharge and promoting industrial clean production measures. measures and rectification measures for enterprises with excessive emissions; when the pollution detection type is agricultural pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target rivers and lakes are in an agricultural pollution state, and the second treatment measures are determined according to the agricultural pollution state. The second treatment measures include measures to build farmland drainage purification facilities, strengthen the resource utilization of agricultural waste, and scientific fertilization measures; when the pollution detection type is domestic pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target rivers and lakes are in a domestic pollution state, and the third treatment measures are determined according to the domestic pollution state. The third treatment measures include measures to strengthen urban sewage collection, promote domestic waste classification, and strengthen the construction of rural sewage treatment facilities.

[0019] By adopting the above-mentioned technical solutions, it is possible to formulate treatment measures more accurately based on distinguishing different types of pollution sources. Different types of pollution have different impacts on the environment and are difficult to control, so different response strategies are needed. When monitoring data show that the target rivers and lakes are in a polluted state, the type of pollution can be quickly confirmed and corresponding treatment measures can be formulated. This timely response mechanism helps to reduce the spread and accumulation of pollutants and reduce the long-term impact on the environment.

[0020] In a second aspect of the present application, a device for detecting and evaluating water pollution in rivers and lakes is provided. The device is a server, and the server includes an acquisition unit, a processing unit, and a confirmation unit; the acquisition unit receives a first image sent by a target device, the target device is a drone device, and the first image is an image obtained by photographing the surface of a target river or lake using the drone device; receives first monitoring data sent by a target floating device; the processing unit analyzes the first image to obtain a target analysis result; if the target analysis result is in an abnormal state, the position of the first image is identified to obtain first position information, and the first position information is the position information corresponding to the first image on the surface of the target river or lake; the first position information is sent to the target floating device to control the target floating device to move to the first position information; it is determined whether the first monitoring data is less than or equal to the second monitoring data, and the second monitoring data is normal monitoring data corresponding to the first position information; the confirmation unit confirms that the target river or lake is in a water pollution state when the first monitoring data is greater than the second monitoring data, determines treatment measures according to the water pollution state, and outputs a target evaluation result, and the target evaluation result includes the water pollution state and treatment measures.

[0021] Optionally, the processing unit is used to divide the surface of the target river or lake according to preset rules to obtain multiple grid areas; the acquisition unit is used to obtain coordinate information corresponding to each grid area in the target coordinate system, one grid area corresponds to one coordinate information; the processing unit is used to photograph each grid area according to the coordinate information to obtain multiple second images, one second image corresponds to one grid area, and one second image corresponds to one coordinate information.

[0022] Optionally, the processing unit is used to obtain a third image from multiple second images; compare the first image with the third image; the confirmation unit is used to confirm that if the first image is consistent with the third image, obtain the second position information corresponding to the third image, and output the second position information as the first position information.

[0023] Optionally, the acquisition unit is used to acquire third position information corresponding to the target floating device; the processing unit is used to input the third position information and the first position information into a preset path database for matching to obtain a first planned path; and the target floating device is controlled to move according to the first planned path.

[0024] Optionally, the acquisition unit is used to obtain fourth position information corresponding to the target floating device at preset time intervals; the processing unit is used to determine whether the fourth position information is the same as the first position information; the confirmation unit is used to confirm that the target floating device is in a mobile failure state if the fourth position information is different from the first position information, and the fourth position information and the first position information need to be input into a preset path database for matching to obtain a second planned path; and the target floating device is controlled to move according to the second planned path.

[0025] Optionally, the acquisition unit is used to acquire target environmental facilities corresponding to the surface of the target river or lake; the processing unit is used to determine the pollution detection type based on the target environmental facilities and the target time, the target time is the time corresponding to when the first image is acquired, and the pollution detection types include industrial pollution type, agricultural pollution type and domestic pollution type; based on the pollution detection type, it is determined to use the target floating device to acquire the corresponding target monitoring data, and the target monitoring data is output as the first monitoring data.

[0026] Optionally, the confirmation unit is used to confirm that the target rivers and lakes are in an industrial pollution state when the pollution detection type is an industrial pollution type and the first monitoring data is greater than the second monitoring data, and determine the first treatment measure according to the industrial pollution state. The first treatment measure includes measures to strengthen industrial wastewater discharge supervision, promote industrial clean production measures, and take rectification measures for enterprises with excessive emissions; the confirmation unit is used to confirm that the target rivers and lakes are in an agricultural pollution state when the pollution detection type is an agricultural pollution type and the first monitoring data is greater than the second monitoring data, and determine the second treatment measure according to the agricultural pollution state. The second treatment measure includes measures to build farmland drainage purification facilities, strengthen agricultural waste resource utilization measures, and scientific fertilization measures; the confirmation unit is used to confirm that the target rivers and lakes are in a domestic pollution state when the pollution detection type is a domestic pollution type and the first monitoring data is greater than the second monitoring data, and determine the third treatment measure according to the domestic pollution state. The third treatment measure includes measures to strengthen urban sewage collection, promote domestic waste classification, and strengthen the construction of rural sewage treatment facilities.

[0027] In a third aspect of the present application, an electronic device is provided, which includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that an electronic device executes any one of the methods described above in the present application.

[0028] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any one of the above methods of the present application is executed.

[0029] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Scan the surface of the target river or lake based on the drone equipment, and then obtain the first image taken by the drone equipment. The first image can be analyzed in detail to accurately identify abnormal conditions in the water area, and then the position of the abnormal image is identified to obtain precise position information, providing accurate positioning for subsequent processing, and then the target floating device is controlled to enable it to move quickly to further monitor the abnormal position. The first monitoring data obtained is intelligently analyzed to automatically determine whether the water area is in a state of water pollution, and determine the corresponding treatment measures according to the water pollution state. This intelligent evaluation and processing not only improves the accuracy of the evaluation, but also reduces the burden of manual processing, providing comprehensive data support for subsequent governance and supervision.

[0030] 2. Divide the surface of the target river or lake into multiple grid areas to make the monitoring work more refined. By shooting the grid areas with coordinate information, it can be ensured that each area is covered to avoid repeated shooting or omissions. Each second image corresponds to a grid area and coordinate information. Once an abnormality is found in a grid area, the coordinate information can be determined based on the second image. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a method for detecting and evaluating river and lake water pollution provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a detection and evaluation device for river and lake water pollution provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0032] Explanation of the reference numerals: 201, acquisition unit; 202, processing unit; 203, confirmation unit; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0033] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0034] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0035] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0036] As the core water resources of many regions, the water quality of rivers and lakes is directly related to the safety of drinking water for residents and the public health of society. Therefore, it is particularly important to implement a regular and accurate water quality monitoring mechanism to capture water quality change signals in real time, effectively warn of potential pollution risks, and ensure the safety and purity of the water supply system.

[0037] When monitoring water pollution in rivers and lakes, the scientific and reasonable layout of monitoring points is a prerequisite for obtaining comprehensive and accurate water quality data. This requires the specific geographical features, hydrological characteristics and monitoring objectives of rivers and lakes to ensure the representativeness of the monitoring results. Subsequently, professional monitoring personnel need to carry relevant equipment to each monitoring point and follow strict operating procedures to perform water sample collection tasks. The collected water samples are then sent to the laboratory for detailed analysis to obtain the corresponding water quality analysis report. However, faced with the need for multiple monitoring points in a vast water area, the traditional manual sampling and analysis mode is easily interfered by human factors, resulting in inaccurate evaluation results.

[0038] Therefore, how to solve the problem of inaccurate evaluation results due to human interference during current manual sampling and analysis. A detection and evaluation method for river and lake water pollution provided in an embodiment of the present application is applied to a server. The server of the present application can be a platform for providing river and lake water pollution detection, Figure 1 This is a flow chart of a method for detecting and evaluating river and lake water pollution provided in an embodiment of the present application, with reference to Figure 1 The method includes the following steps S101-S107.

[0039] S101: Receive a first image sent by a target device.

[0040] In the above S101, the target device is a drone device, and the first image is an image obtained by photographing the surface of the target river or lake using the drone device. First, make sure that the drone device is equipped with a high-definition camera and connected to the data receiving system (server). The drone device photographs the surface of the target river or lake according to a preset flight route or real-time instructions. The target river or lake is any river or lake that is currently to be tested for water pollution. The captured image data is transmitted to the server in real time or at a fixed time via wireless transmission technology (such as 4G / 5G, Wi-Fi, satellite communication, etc.). After receiving the first image sent by the drone device, the server stores it on the local server for subsequent analysis. There is no need to set monitoring points for the target rivers and lakes. The water conditions on the surface of the target rivers and lakes can be photographed by drone equipment, and then the photographed images are sent to the server.

[0041] S102: Analyze the first image to obtain a target analysis result.

[0042] In the above S102, after receiving the first image, the server performs preprocessing operations such as denoising, contrast enhancement, and color correction on the received first image to improve the image quality. Then, the server uses image recognition technology (such as deep learning models, machine learning algorithms, etc.) to extract key features in the image, such as water color, floating objects, algae distribution, etc. The extracted feature information is summarized and output as the target analysis result.

[0043] S103: If the target analysis result is in an abnormal state, position recognition is performed on the first image to obtain first position information.

[0044] In the above S103, after analyzing the first image, the target analysis result is obtained, and the target analysis result is compared with the preset analysis result. At this time, the preset analysis result is information corresponding to the normal water body characteristics, and the algorithm can be used to determine whether the water body is in an abnormal state (such as abnormal color, increased turbidity, a large number of floating objects, etc.). If the water body is in an abnormal state, it is confirmed that the target analysis result is in an abnormal state, that is, the first image has an abnormal situation, and the river and lake water area corresponding to the first image needs to be inspected in detail to further ensure whether the river and lake water is currently in a water pollution state.

[0045] In addition, before the first image is identified and the first position information is obtained, the method further includes: dividing the surface of the target river and lake according to the preset rules to obtain multiple grid areas; obtaining the coordinate information corresponding to each grid area in the target coordinate system, one grid area corresponds to one coordinate information; photographing each grid area according to the coordinate information to obtain multiple second images, one second image corresponds to one grid area, and one second image corresponds to one coordinate information. Specifically, first, according to the specific characteristics of the target river and lake (such as area, shape, water complexity, etc.), determine the preset rules for grid division. The preset rules may include the size and shape of the grid (such as square, rectangle, hexagon, etc.), the overlap between grids, etc. These rules should be set based on the needs of effective monitoring and management. Collect relevant data of the target river and lake, such as maps, satellite images, water depth data, etc., which will serve as the basis for grid division. Then use geographic information system (GIS) software or a special grid division tool to grid the surface of the target river and lake according to the preset rules. The grid division should ensure that each grid area can be effectively monitored and managed, while avoiding excessive overlap or omission. After the division is completed, multiple grid areas can be obtained. Then select a suitable coordinate system (such as latitude and longitude coordinate system, UTM coordinate system, etc.) as the basis for the coordinate information of the grid area. Use GIS software or related tools to extract the coordinate information of each grid area from the grid division results. This usually includes the vertex coordinates or center point coordinates of the grid. Record the extracted coordinate information in a database or file for subsequent use. Each grid area should correspond to a unique coordinate information. According to the coordinate information of the grid area and the actual situation of the target river and lake, plan the shooting tasks of drone equipment or other shooting equipment. This includes determining the shooting route, shooting height, shooting angle, etc. Ensure that the shooting equipment (such as drones, high-definition cameras, etc.) is in good condition and install the necessary software and hardware. At the same time, train the shooting personnel to ensure that they are familiar with the shooting tasks and operating procedures. According to the planned tasks, use drones or other shooting equipment to shoot each grid area. During the shooting process, ensure that each grid area can be clearly and completely photographed. After the shooting is completed, the image data is transmitted to the server through wireless transmission technology (such as 4G / 5G, Wi-Fi, etc.), and decoded, verified and stored. Each second image should be associated with its corresponding grid area and coordinate information for subsequent analysis and processing. For example, the surface of the target river or lake is divided into 6 grid areas. For easy distinction, the 6 grid areas can be marked, and each grid area corresponds to a serial number. Then obtain the coordinate information of each grid area in the target coordinate system. At this time, the target coordinate system is a coordinate system constructed based on the surface of the target river or lake.One grid area corresponds to one coordinate information. Then use the drone equipment to shoot the grid area with serial number 1 to obtain image a, bind image a with serial number 1, and then obtain the position information (x, y) of serial number 1 in the target coordinate system, and establish the corresponding relationship between image a and position information (x, y), so that the position information corresponding to the serial number can be determined by subsequent image recognition.

[0046] Further, the first image is positionally identified to obtain the first position information, specifically including: obtaining a third image from a plurality of second images; comparing the first image with the third image; if the first image is consistent with the third image, confirming that the second position information corresponding to the third image is obtained, and outputting the second position information as the first position information. Specifically, since the surface of the target river or lake is divided to obtain a plurality of grid areas, one grid area corresponds to a second image, so there are a plurality of second images. Any one of the plurality of second images may be first obtained as the third image for output, and then the third image may be compared with the first image. Before the comparison, the first image and the third image may be preprocessed to ensure that they are consistent in size, resolution, color space, etc. The preprocessing steps may include image scaling, cropping, color correction, etc. The key features in the first image and the third image are extracted using image recognition technology. These features may include color distribution, texture, shape, edge, etc. The purpose of feature extraction is to convert the image into a comparable form for subsequent analysis. The key features in the first image and the third image are extracted using image recognition technology. These features may include color distribution, texture, shape, edge, etc. A comparison algorithm can be selected to compare the first image and the third image. Common comparison algorithms include pixel comparison, feature matching, similarity calculation, etc. Pixel comparison directly compares the pixel values ​​of the two images, while feature matching compares the similarity between the extracted features. Similarity calculation can use various metrics, such as Euclidean distance, cosine similarity, etc. According to the output result of the comparison algorithm, it is judged whether the first image is consistent with the third image. If the similarity threshold between the first image and the third image exceeds the preset similarity threshold, the first image is considered to be consistent with the third image. When the first image is consistent with the third image, it is necessary to obtain the second position information corresponding to the third image. This position information is usually associated with the position of the third image in the grid division and recorded in a database or file. Before the second position information is output as the first position information, necessary verification is performed to ensure its accuracy. The verification process may include checking whether the position information is consistent with the grid division result, whether it is located in the valid area of ​​the target river or lake, etc. After verification, the second position information is output as the first position information.

[0047] Furthermore, in addition to identifying the first image and obtaining the first position information, the positioning data of the drone device when taking the first image can also be obtained, and then combined with the viewing angle and scale in the first image, the specific position of the abnormal area in the first image on the surface of the target river or lake can be calculated and determined, that is, the first position information.

[0048] S104: Send the first position information to the target floating device, so as to control the target floating device to move to the first position information.

[0049] In the above S104, after the first image is positionally identified and the first position information is obtained, the first position information at this time indicates the position information of the area where the water area on the surface of the target river or lake is in an abnormal state. The first position information is sent to the target floating device (such as a water quality monitoring ship, an unmanned underwater vehicle, etc.) through wireless communication technology (such as Bluetooth, LoRa, NB-IoT, etc.). At this time, the target floating device is equipped with a water quality monitoring sensor, such as a dissolved oxygen sensor, a pH meter, a turbidity meter, etc., which can measure and record water quality parameters in real time. The target floating device includes a navigation function, a positioning function, and a control interaction function. After receiving the first position information, the server sends the first position information to the target floating device so as to control the target floating device to move to the first position information, specifically including: obtaining the third position information corresponding to the target floating device; inputting the third position information and the first position information into a preset path database for matching to obtain a first planned path; and controlling the target floating device to move according to the first planned path. Specifically, the current position information of the device is obtained in real time using a GPS receiver or other positioning technology (such as Beidou system, GLONASS, etc.) on the target floating device. Such position information generally includes longitude, latitude, altitude, etc. The third position information of the device is read and recorded through the data reading interface on the device or the remote monitoring system. This information should include the current exact position of the device and possible other relevant information (such as speed, direction, etc.). It is necessary to first establish a preset path database, which should contain detailed map information of the target river and lake area, known safe passages, obstacle locations, restricted areas, etc. These data can be obtained and integrated through various methods such as GIS system, drone aerial photography, manual measurement, etc. Select a suitable path matching algorithm, such as A* algorithm, Dijkstra algorithm, RRT (fast random tree) algorithm, etc. These algorithms can calculate an optimal or feasible path based on the starting point (third position information) and the target point (first position information) and map information. The third position information and the first position information are used as input parameters of the algorithm and input into the preset path database for processing. The algorithm calculates a first planned path from the third position to the first position based on the input position information and map data. This path should avoid obstacles, bypass restricted areas, and minimize driving distance and time. The first planned path is parsed into a series of specific navigation instructions or control signals, which should be able to guide the target floating device to move along the first planned path. The parsed navigation instructions or control signals are sent to the target floating device, and these instructions or signals are executed through the device's control system (such as the autopilot system, remote control system, etc.). During the movement of the floating device, its position, speed, direction and other status information are monitored in real time to ensure that the device follows the planned path. If deviations or abnormalities are found, adjustments or interventions are made in a timely manner.

[0050] In addition, the real-time monitoring and dynamic adjustment of the target floating equipment movement process are realized, including: At preset intervals, obtain the fourth position information corresponding to the target floating device; determine whether the fourth position information is the same as the first position information; if the fourth position information is not the same as the first position information, it is confirmed that the target floating device is in a moving fault state, and the fourth position information and the first position information need to be input into the preset path database for matching to obtain the second planned path; and control the target floating device to move according to the second planned path. Specifically, a preset time interval is set according to actual needs. This time interval can be fixed (such as every 5 minutes, every 10 minutes, etc.) or dynamic (adjusted in real time according to factors such as device status and environmental conditions). When the preset time arrives, the positioning device (such as a GPS receiver) on the target floating device is used to obtain its current position information, i.e., the fourth position information, in real time. This information usually includes longitude, latitude and (optional) altitude, etc. The fourth position information is compared with the first position information set previously. When comparing, a position deviation threshold can be set according to actual needs. If the deviation between the fourth position information and the first position information is within the threshold range, the two are considered to be the same; otherwise, they are considered to be different. According to the comparison result, it is determined whether the target floating device has reached the first position. If the positions are the same or the deviation is within the allowable range, it is considered that the target floating device has reached the target position. When the fourth position information is different from the first position information and the deviation exceeds the allowable range, it is confirmed that the target floating device has not reached the target position as expected and may be in a mobile fault state. Analyze the possible causes of the fault, such as equipment failure, navigation error, environmental factors (such as water flow, wind force, etc.). This step may require a comprehensive judgment based on the real-time status information of the device, historical data, environmental factors and other information. Then use the fourth position information and the first position information of the current device as input parameters to send a path planning request to the preset path database. The path planning algorithm in the preset path database recalculates an optimal or feasible path from the current position to the target position based on the input position information and map data, that is, the second planned path. The calculated second planned path is output to the control system of the target floating device. The second planned path is parsed into a series of specific navigation instructions or control signals, which should be able to guide the floating device to move along the new planned path. The parsed navigation instructions or control signals are sent to the target floating device, and these instructions or signals are executed by the control system of the device to control the device to move along the new planned path. During the movement of the equipment, continuously monitor its position, speed, direction and other status information to ensure that the equipment follows the new planned path. At the same time, pay close attention to the status changes of the equipment so as to promptly detect and handle possible abnormal situations.

[0051] S105: Receive first monitoring data sent by the target floating device.

[0052] In the above S105, after confirming that the target floating device has arrived at the first position, the water quality of the first position is monitored (such as dissolved oxygen, pH value, turbidity, heavy metal content, etc.), and the monitoring data is sent to the server by wireless. Due to the different environmental facilities and time around the target rivers and lakes, the types of water pollution caused to the water area are different, so different monitoring data needs to be taken for the water area according to the type of water pollution, and then the monitoring data is analyzed.

[0053] In addition, the target environmental facilities corresponding to the surface of the target river and lake are obtained; the pollution detection type is determined according to the target environmental facilities and the target time, the target time is the time corresponding to the acquisition of the first image, and the pollution detection type includes industrial pollution type, agricultural pollution type and domestic pollution type; based on the pollution detection type, the target floating device is used to obtain the corresponding target monitoring data, and the target monitoring data is output as the first monitoring data. Specifically, it is necessary to collect relevant data of the target river and lake area, including geographic information, distribution of environmental facilities, historical pollution records, etc. These data can be obtained through remote sensing satellite images, drone aerial photography, GIS system, data provided by government departments, etc. Using image recognition technology or GIS system, the collected data is processed and analyzed to identify the environmental facilities corresponding to the surface of the target river and lake. These environmental facilities may include factory discharge outlets, agricultural irrigation areas, domestic sewage discharge outlets, sewage treatment plants, water quality monitoring stations, etc. According to the identification results, combined with the actual situation and monitoring needs, the target environmental facilities that need to be focused on are determined. These facilities may be potential sources of pollution or key water quality monitoring points. Analyze the climate conditions, seasonal changes, human activities and other factors at the target time (i.e., the time corresponding to the acquisition of the first image), which may affect the type and degree of pollution. Combined with the type and characteristics of the target environmental facilities, analyze their potential pollution risks in different time periods. For example, factory outlets may discharge more industrial wastewater during peak production; agricultural irrigation areas may produce pesticide and fertilizer losses during the irrigation season; domestic sewage outlets may be affected by population mobility and living habits. Based on the above analysis, determine the type of pollution detection. Common pollution detection types include industrial pollution types (such as heavy metal pollution, organic pollution, etc.), agricultural pollution types (such as pesticide residues, fertilizer loss, etc.) and domestic pollution types (such as bacterial pollution, organic pollution, etc.). According to the determined pollution detection type, the target floating device can select the appropriate equipment to monitor the water area. These devices may have different monitoring functions and accuracy requirements, such as water quality analyzers, heavy metal detectors, microbial detectors, etc. At the same time, it is necessary to ensure that the equipment can operate stably and adapt to the hydrological conditions of the target rivers and lakes. Develop a detailed monitoring plan, including the selection of monitoring points, the setting of monitoring frequency, and the determination of monitoring indicators. The monitoring points should cover the target environmental facilities and their surrounding areas to ensure the comprehensiveness and representativeness of the monitoring data. According to the monitoring plan, the target floating equipment is used to monitor at the designated time and location. The equipment will automatically collect water quality samples and analyze and process them to generate target monitoring data. These data may include multiple indicators such as water temperature, pH value, dissolved oxygen, turbidity, heavy metal content, organic matter concentration, etc. The acquired target monitoring data is sorted and output as the first monitoring data.

[0054] S106: Determine whether the first monitoring data is less than or equal to the second monitoring data, where the second monitoring data is normal monitoring data corresponding to the first location information.

[0055] In the above S106, after obtaining the first monitoring data, the second monitoring data corresponding to the first monitoring data is determined according to the pollution monitoring type corresponding to the first monitoring data, and the second monitoring data is the normal monitoring data corresponding to the first location information. According to the comparison result, it is determined whether the current water quality exceeds the standard or is in an abnormal state.

[0056] S107: When the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in a water pollution state, treatment measures are determined according to the water pollution state, and a target evaluation result is output, which includes the water pollution state and treatment measures.

[0057] In the above S107, if the first monitoring data is greater than the second monitoring data, it is confirmed that the target river and lake are in a water pollution state at this location. The water pollution state includes industrial pollution state, agricultural pollution state and domestic pollution state. The treatment measures include first treatment measures, second treatment measures and third treatment measures. When the pollution detection type is industrial pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target river and lake are in an industrial pollution state. The first treatment measure is determined according to the industrial pollution state. The first treatment measure includes strengthening industrial wastewater discharge supervision measures, promoting industrial clean production measures, and rectifying measures for enterprises with excessive emissions. Specifically, when the pollution detection type is determined to be an industrial pollution type, and the first monitoring data (key indicators such as heavy metal content and organic matter concentration) is greater than the second monitoring data (which may be historical data, background values ​​or standard limits), it is preliminarily judged that the target river and lake are in an industrial pollution state. The first treatment measure is determined according to the state of industrial pollution. The first treatment measure includes strengthening the supervision of industrial wastewater discharge, promoting industrial clean production, and rectifying the enterprises that exceed the discharge standards. Strengthening the supervision of industrial wastewater discharge is to establish and improve the supervision system of industrial wastewater discharge and strengthen the daily inspection and regular inspection of the discharge enterprises. Implement online monitoring technology to monitor the wastewater discharge of enterprises in real time to ensure that the wastewater meets the discharge standards. Severe punishment is imposed on illegal discharge behaviors to increase the cost of violations. Promoting industrial clean production measures is to encourage and support enterprises to adopt clean production technology to reduce the generation and discharge of pollutants. Promote the circular economy model to achieve efficient and cyclic utilization of resources. Strengthen environmental protection training and guidance for enterprises to improve their environmental awareness and capabilities. Rectifying the enterprises that exceed the discharge standards is to criticize the enterprises that exceed the discharge standards and order them to rectify within a time limit. Provide technical guidance and support to help enterprises formulate practical rectification plans. For enterprises that fail to rectify or refuse to rectify, take severe measures such as closing down and revoking the pollution discharge permit in accordance with the law.

[0058] In addition, when the pollution detection type is agricultural pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target rivers and lakes are in an agricultural pollution state. The second treatment measures are determined according to the agricultural pollution state. The second treatment measures include measures to build farmland drainage purification facilities, measures to strengthen the resource utilization of agricultural waste, and measures for scientific fertilization. Specifically, when the pollution detection type is determined to be agricultural pollution type, and the first monitoring data (such as pesticide residues, fertilizer loss and other indicators) is greater than the second monitoring data, it is preliminarily judged that the target rivers and lakes are in an agricultural pollution state. Through field investigations to understand the farming methods of farmland, the use of pesticides and fertilizers, etc., the source and extent of agricultural pollution are further confirmed. The second treatment measures are determined according to the agricultural pollution state. The second treatment measures include measures to build farmland drainage purification facilities, measures to strengthen the resource utilization of agricultural waste, and measures for scientific fertilization. The measures to build farmland drainage purification facilities are to build drainage purification facilities around farmland, such as ecological ditches, artificial wetlands, etc., to purify farmland drainage. Promote rainwater collection and utilization technology to reduce the scouring and pollution of farmland by rainwater runoff. Measures to strengthen the resource utilization of agricultural wastes are to encourage farmers to utilize agricultural wastes (such as straw, livestock and poultry manure, etc.) as resources, such as making organic fertilizers and biomass fuels. Provide technical guidance and policy support to promote the comprehensive utilization of agricultural wastes. Scientific fertilization measures are to promote soil testing and formula fertilization technology, and apply fertilizers reasonably according to soil nutrient conditions and crop needs. Reduce the use of chemical fertilizers, increase the input of organic fertilizers, and improve soil structure and fertility.

[0059] Further, when the pollution detection type is a domestic pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target rivers and lakes are in a domestic pollution state, and the third treatment measures are determined according to the domestic pollution state. The third treatment measures include strengthening urban sewage collection measures, promoting domestic waste classification measures, and strengthening rural sewage treatment facility construction measures. Specifically, when the pollution detection type is determined to be a domestic pollution type, and the first monitoring data (such as total bacteria, chemical oxygen demand and other indicators) is greater than the second monitoring data, it is preliminarily judged that the target rivers and lakes are in a domestic pollution state. By checking the urban sewage pipe network and rural domestic sewage discharge, the source and scope of domestic pollution are determined. The third treatment measures are determined according to the domestic pollution state. The third treatment measures include strengthening urban sewage collection measures, promoting domestic waste classification measures, and strengthening rural sewage treatment facility construction measures. Strengthening urban sewage collection measures is to improve the urban sewage collection pipe network system and increase the sewage collection rate. Renovate and upgrade the old sewage pipe network to ensure that sewage is effectively collected and treated. Promoting domestic waste classification measures is to strengthen domestic waste classification publicity and education and improve residents' awareness of waste classification. Improve the garbage classification, collection, transportation and treatment system to achieve resource utilization, reduction and harmless treatment of garbage. Strengthen the construction of rural sewage treatment facilities by promoting the construction of small sewage treatment facilities or ecological treatment systems in rural areas, such as septic tanks, artificial wetlands, etc. Different treatment measures need to be taken to protect and improve the water quality environment of target rivers and lakes according to different types of pollution (industrial pollution, agricultural pollution, and domestic pollution).

[0060] The present application also provides a device for detecting and evaluating river and lake water pollution. Figure 2 This is a schematic diagram of a detection and evaluation device for river and lake water pollution provided in an embodiment of the present application, with reference to Figure 2 The device is a server, and the server includes an acquisition unit 201, a processing unit 202 and a confirmation unit 203.

[0061] The acquisition unit 201 receives a first image sent by a target device, where the target device is a drone device, and the first image is an image obtained by photographing the surface of a target river or lake using the drone device; and receives first monitoring data sent by a target floating device.

[0062] The processing unit 202 analyzes the first image to obtain a target analysis result; if the target analysis result is in an abnormal state, the position of the first image is identified to obtain first position information, where the first position information is the position information corresponding to the first image on the surface of the target river or lake; the first position information is sent to the target floating device to control the target floating device to move to the first position information; and it is determined whether the first monitoring data is less than or equal to the second monitoring data, where the second monitoring data is normal monitoring data corresponding to the first position information.

[0063] Confirmation unit 203, when the first monitoring data is greater than the second monitoring data, confirms that the target river or lake is in a water pollution state, determines treatment measures according to the water pollution state, and outputs a target evaluation result, which includes the water pollution state and treatment measures.

[0064] In a possible implementation, the processing unit 202 is used to divide the surface of the target river or lake according to preset rules to obtain a plurality of grid areas; the acquisition unit 201 is used to obtain coordinate information corresponding to each grid area in the target coordinate system, and one grid area corresponds to one coordinate information; the processing unit 202 is used to photograph each grid area according to the coordinate information to obtain a plurality of second images, and one second image corresponds to one grid area, and one second image corresponds to one coordinate information.

[0065] In a possible implementation, the processing unit 202 is used to obtain a third image from multiple second images; compare the first image with the third image; and the confirmation unit 203 is used to confirm that if the first image is consistent with the third image, obtain the second position information corresponding to the third image, and output the second position information as the first position information.

[0066] In a possible implementation, the acquisition unit 201 is used to acquire third position information corresponding to the target floating device; the processing unit 202 is used to input the third position information and the first position information into a preset path database for matching to obtain a first planned path; and the target floating device is controlled to move according to the first planned path.

[0067] In a possible implementation, the acquisition unit 201 is used to obtain the fourth position information corresponding to the target floating device at a preset time interval; the processing unit 202 is used to determine whether the fourth position information is the same as the first position information; the confirmation unit 203 is used to confirm that the target floating device is in a mobile failure state if the fourth position information is different from the first position information, and the fourth position information and the first position information need to be input into a preset path database for matching to obtain a second planned path; and the target floating device is controlled to move according to the second planned path.

[0068] In a possible implementation, the acquisition unit 201 is used to acquire the target environmental facilities corresponding to the surface of the target river or lake; the processing unit 202 is used to determine the pollution detection type according to the target environmental facilities and the target time, the target time is the time corresponding to when the first image is acquired, and the pollution detection types include industrial pollution type, agricultural pollution type and domestic pollution type; based on the pollution detection type, it is determined to use the target floating device to acquire the corresponding target monitoring data, and the target monitoring data is output as the first monitoring data.

[0069] In a possible implementation, the confirmation unit 203 is used to confirm that the target river or lake is in an industrial pollution state when the pollution detection type is an industrial pollution type and the first monitoring data is greater than the second monitoring data, and determine the first treatment measure according to the industrial pollution state. The first treatment measure includes strengthening industrial wastewater discharge supervision measures, promoting industrial clean production measures, and taking rectification measures for enterprises with excessive emissions; the confirmation unit 203 is used to confirm that the target river or lake is in an agricultural pollution state when the pollution detection type is an agricultural pollution type and the first monitoring data is greater than the second monitoring data, and determine the second treatment measure according to the agricultural pollution state. The second treatment measure includes measures to build farmland drainage purification facilities, strengthen agricultural waste resource utilization measures, and scientific fertilization measures; the confirmation unit 203 is used to confirm that the target river or lake is in a domestic pollution state when the pollution detection type is a domestic pollution type and the first monitoring data is greater than the second monitoring data, and determine the third treatment measure according to the domestic pollution state. The third treatment measure includes measures to strengthen urban sewage collection, promote domestic waste classification measures, and strengthen rural sewage treatment facility construction measures.

[0070] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0071] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0072] The communication bus 302 is used to realize the connection and communication between these components.

[0073] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0074] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0075] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application requests; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0076] Among them, the memory 305 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area. Instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. can be stored; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can also be optionally at least one storage device located away from the aforementioned processor 301.

[0077] like Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for detecting and evaluating river and lake water pollution.

[0078] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application for detection and evaluation of river and lake water pollution stored in the memory 305. When executed by one or more processors, the electronic device executes one or more of the methods described in the above embodiments.

[0079] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0080] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0082] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0084] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0085] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, it will be easy for those skilled in the art to think of other embodiments of the present disclosure. This application is intended to cover any variation, use or adaptive change of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure.

Claims

1. A method for detecting and evaluating river and lake water pollution, characterized in that: Applied in a server, the method comprises: Receiving a first image sent by a target device, where the target device is a drone device, and the first image is an image obtained by photographing the surface of a target river or lake using the drone device; Analyze the first image to obtain a target analysis result; If the target analysis result is in an abnormal state, position recognition is performed on the first image to obtain first position information, where the first position information is position information corresponding to the first image on the surface of the target river or lake; sending the first position information to a target floating device so as to control the target floating device to move to the first position information; receiving first monitoring data sent by the target floating device; Determine whether the first monitoring data is less than or equal to second monitoring data, where the second monitoring data is normal monitoring data corresponding to the first location information; When the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in a water pollution state, treatment measures are determined according to the water pollution state, and a target evaluation result is output, the target evaluation result including the water pollution state and the treatment measures.

2. The method according to claim 1, characterized in that Before performing position recognition on the first image to obtain first position information, the method further includes: Dividing the surface of the target river or lake according to preset rules to obtain multiple grid areas; Obtaining coordinate information corresponding to each of the grid areas in the target coordinate system, where one grid area corresponds to one piece of coordinate information; Each of the grid areas is photographed according to the coordinate information to obtain a plurality of second images, wherein one second image corresponds to one grid area, and one second image corresponds to one coordinate information.

3. The method according to claim 2, characterized in that The step of performing position recognition on the first image to obtain first position information specifically includes: acquiring a third image from a plurality of said second images; comparing the first image to the third image; If the first image is consistent with the third image, it is confirmed that second position information corresponding to the third image is obtained, and the second position information is output as the first position information.

4. The method according to claim 1, characterized in that: The step of sending the first position information to a target floating device so as to control the target floating device to move to the first position information specifically includes: Acquire third position information corresponding to the target floating device; Inputting the third location information and the first location information into a preset path database for matching to obtain a first planned path; The target floating device is controlled to move according to the first planned path.

5. The method according to claim 4, characterized in that After controlling the target floating device to move according to the first planned path, the method further includes: At preset time intervals, acquiring fourth position information corresponding to the target floating device; determining whether the fourth location information is the same as the first location information; If the fourth position information is different from the first position information, it is confirmed that the target floating device is in a moving failure state, and the fourth position information and the first position information need to be input into the preset path database for matching to obtain a second planned path; And control the target floating device to move according to the second planned path.

6. The method according to claim 1, characterized in that Before determining whether the first monitoring data is less than or equal to the second monitoring data, the method further includes: Obtain target environmental facilities corresponding to the surface of the target river or lake; Determine the pollution detection type according to the target environmental facilities and the target time, the target time is the time corresponding to when the first image is acquired, and the pollution detection type includes industrial pollution type, agricultural pollution type and domestic pollution type; Based on the pollution detection type, it is determined to use the target floating device to obtain corresponding target monitoring data, and the target monitoring data is output as the first monitoring data.

7. The method according to claim 6, characterized in that The water pollution state includes industrial pollution state, agricultural pollution state and domestic pollution state, the treatment measures include first treatment measures, second treatment measures and third treatment measures, when the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in a water pollution state, treatment measures are determined according to the water pollution state, and a target evaluation result is output, the target evaluation result includes the water pollution state and the treatment measures, specifically including: When the pollution detection type is the industrial pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in the industrial pollution state, and the first treatment measure is determined according to the industrial pollution state. The first treatment measure includes strengthening industrial wastewater discharge supervision measures, promoting industrial clean production measures, and taking rectification measures for enterprises that exceed emission standards; When the pollution detection type is the agricultural pollution type, and the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in the agricultural pollution state, and the second treatment measure is determined according to the agricultural pollution state. The second treatment measure includes measures to build farmland drainage purification facilities, measures to strengthen the resource utilization of agricultural waste, and scientific fertilization measures; When the pollution detection type is the domestic pollution type and the first monitoring data is greater than the second monitoring data, it is confirmed that the target river or lake is in the domestic pollution state, and the third treatment measures are determined according to the domestic pollution state. The third treatment measures include strengthening urban sewage collection measures, promoting domestic waste classification measures, and strengthening rural sewage treatment facility construction measures.

8. A device for detecting and evaluating river and lake water pollution, characterized in that: The device is a server, and the server comprises an acquisition unit (201), a processing unit (202) and a confirmation unit (203); The acquisition unit (201) receives a first image sent by a target device, the target device being an unmanned aerial vehicle device, the first image being an image obtained by photographing the surface of a target river or lake using the unmanned aerial vehicle device; and receives first monitoring data sent by the target floating device; The processing unit (202) analyzes the first image to obtain a target analysis result; if the target analysis result is in an abnormal state, performs position recognition on the first image to obtain first position information, the first position information being position information corresponding to the first image on the surface of the target river or lake; sends the first position information to the target floating device so as to control the target floating device to move to the first position information; determines whether the first monitoring data is less than or equal to second monitoring data, the second monitoring data being normal monitoring data corresponding to the first position information; The confirmation unit (203) confirms that the target river or lake is in a water pollution state when the first monitoring data is greater than the second monitoring data, determines treatment measures according to the water pollution state, and outputs a target evaluation result, wherein the target evaluation result includes the water pollution state and the treatment measures.

9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

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