Marine pollution monitoring method and device, electronic equipment and storage medium

Abstract

The invention relates to a marine pollution monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a regional map corresponding to each sewage draining exit, determining a residential area and an industrial area based on the regional map, determining an aquaculture area based on a marine area, and determining the inspection sequence of each sewage draining exit based on the three areas. The unmanned aerial vehicle is controlled to fly to the position above each sewage draining exit according to the inspection sequence to collect a first image of each sewage draining exit, the emission grade of each sewage draining exit is determined based on the inspection sequence and the first image, and the unmanned aerial vehicle is controlled to fly to the position above the ocean area corresponding to each sewage draining exit to obtain a second image, and determining a floating object pollution level of each sea area based on the second image, and determining a sampling priority of each sea area based on the emission level and the floating object pollution level. The sampling sequence of the sea area where each sewage draining exit is located is determined according to the specific conditions of the sewage draining exits and the areas where the sewage draining exits are located, and the severely polluted areas are found in time.

Description

Technical Field

[0001] The present application relates to the field of remote sensing monitoring, and in particular to a method, device, electronic equipment and storage medium for monitoring marine pollution. Background Art

[0002] Coastal areas rely on transportation costs and traffic advantages to build industrial zones, but industrial zones generate sewage during daily production processes and discharge it into the ocean after treatment. In addition, human activities such as coastal residents pollute the ocean. If the seawater quality is not tested in a timely manner, it will lead to a decline in seawater quality, affecting the living environment of fisheries and marine life.

[0003] Due to the long coastline and scattered sewage outlets, the current monitoring of marine pollution is done by manual sampling and monitoring in the actual sea areas of each sewage outlet in turn. This is inefficient and cannot promptly identify severely polluted sea areas and give priority to sampling and monitoring of severely polluted sea areas. In other words, how to determine the sampling order of the sea area where each sewage outlet is located based on the specific conditions of the sewage outlet and the area where it is located, and how to promptly discover severely polluted areas has become a problem. Summary of the invention

[0004] In order to determine the sampling order of the sea area where each sewage outlet is located according to the specific conditions of the sewage outlet and the area where it is located, and to promptly discover areas with serious pollution, the present application provides a marine pollution monitoring method, device, electronic equipment and storage medium.

[0005] In the first aspect, the present application provides a method for monitoring marine pollution, which adopts the following technical solution: A method for monitoring marine pollution, comprising: Obtaining a regional map corresponding to each sewage outlet, wherein the regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and marine areas; Determine residential areas and industrial areas in the land area based on the regional map, and determine aquaculture areas in the marine area based on the marine area; Determine an inspection order for each sewage outlet based on the residential area, industrial area, and aquaculture area, and control the drone to fly above each sewage outlet in the inspection order to collect a first image of each sewage outlet; Determine the discharge level of each sewage outlet based on the inspection sequence and the first image; Controlling the drone to fly above the ocean area corresponding to each sewage outlet to acquire a second image; determining a floating debris pollution level in each ocean area based on the second image; The sampling priority for each sea area is determined based on the emission level and floating debris pollution level.

[0006] By adopting the above technical solution, the residential and industrial areas in the regional map can be determined by obtaining the regional map. Both residential and industrial areas are the sources of wastewater and sewage, and the aquaculture area can be determined. The aquaculture area is the area where losses are caused when the seawater is seriously polluted, that is, the area is affected by the pollution source, and its importance is relatively high. Therefore, according to the specific conditions of the residential, industrial and aquaculture areas, the inspection order of each sewage outlet can be determined, and then the drone is controlled to fly above each sewage outlet in the inspection order to collect the first image of each sewage outlet. The first image records the specific conditions of sewage discharged from the sewage outlet, which can be used as an important factor in determining the emission level of each sewage outlet. At the same time, the inspection order represents the importance of the area where each sewage outlet is located to a certain extent. Therefore, combined with the inspection order The first image can accurately determine the emission level of each sewage outlet, and the drone is controlled to fly above the ocean area corresponding to each sewage outlet to obtain the second image. The second aerial image can collect the specific situation of floating garbage on the sea surface. Floating garbage is also an important part of marine pollution. Therefore, the floating pollution level of each ocean area is determined according to the second image. The emission level and the floating pollution level are important factors affecting the severity of pollution in the marine area, which are also important factors for the priority of sampling in the sea area at each sewage outlet. Therefore, the sampling priority of each sea area determined comprehensively according to the emission level and the floating pollution level is more accurate. The staff can find the seriously polluted areas more quickly and more efficiently by sampling according to the determined sampling priority.

[0007] In another possible implementation, the inspection order of each sewage outlet is determined based on the residential area, industrial area and aquaculture area, including: Determine the residential area of ​​all residential areas and the industrial area of ​​all industrial areas; Determining a first ratio of the area of ​​the industrial zone to the area of ​​the land region in which the industrial zone is located; Determine the area of ​​each aquaculture area, the distance from each aquaculture area to the sewage outfall, and the total number of aquaculture areas; determining an average distance of all aquaculture areas based on the distances, and determining a second ratio of the number to the average distance; Determining a first sum of the areas of all aquaculture and a second sum of the areas of the industrial areas; determining a third ratio of the first area sum to the second area sum; Determine a first score for each sewage outlet based on the first ratio, the second ratio, the third ratio, and their respective corresponding coefficients; Obtain the number of historical pollution exceeding standards for each sewage outlet, and determine a second score based on the first score and the number of historical pollution exceeding standards; The second scores are sorted to obtain the inspection order.

[0008] In another possible implementation, determining the discharge level of each sewage outlet based on the inspection sequence and the first image includes: Performing feature recognition on the first image to obtain ripple features and foam features of the sea surface at each sewage outlet, wherein the ripple features represent ripples caused by the impact of sewage discharged from the sewage outlet and the ocean current, and the foam features represent foam formed by the impact of the discharged sewage and the ocean current; Determine the ripple coverage area of ​​the sea area covered by all ripple features; Determine the foam coverage area of ​​the sea area covered by all foam characteristics; A third score is obtained based on the ripple coverage area, the foam coverage area and the respective corresponding coefficients, wherein the third score represents the pollution degree of the sewage discharged from each sewage outlet; Determining a third area sum of the residential area area and the industrial area area, and determining a fourth ratio of the third score to the third area sum; Determining a color value of the sewage from the first image, and determining a difference between the color value and a reference color value; Determine a fourth score based on the third score, the fourth ratio, the difference, and respective corresponding coefficients; Each emission level is determined based on the fourth score and the inspection order.

[0009] In another possible implementation, the determining of the sampling priority of each sea area based on the emission level and floating debris pollution level includes: Determining a fifth score based on the emission level, floating debris pollution level, and respective corresponding coefficients; The fifth scores corresponding to all sewage outlets are sorted to obtain a sorting result, and the sorting result represents the sampling priority of each sea area.

[0010] In another possible implementation manner, determining the floating object pollution level of each ocean area based on the second image includes: Performing feature recognition on the second image to obtain features of floating objects in each ocean area; Determining the color of each floating object and determining a first number of color types of all floating objects in each ocean region; determining a second quantity of all floating objects in each ocean area; Determine a sixth score based on the first number, the second number, and respective corresponding coefficients; The floating object pollution level is determined based on the sixth score.

[0011] In another possible implementation, the method further includes: Determine the rivers that flow into and out of the sea from the regional map corresponding to each sewage outlet; Calculate the distance from each river estuary to the sewage outlet, and determine the target river whose distance is less than the preset distance threshold; Determine the width of each target river at its estuary, and determine the number of the target rivers; A width average is determined based on the width, and the fourth score is corrected based on the width average and the number of target rivers.

[0012] In another possible implementation, the modifying the fourth score based on the average width and the number of target rivers includes: Determining a correction score based on the width average, the number of target rivers, and respective corresponding coefficients; A revised fourth score is determined based on the revised score and the fourth score.

[0013] In a second aspect, the present application provides a marine pollution monitoring device, which adopts the following technical solution: A marine pollution monitoring device, comprising: A map acquisition module, used to acquire a regional map corresponding to each sewage outlet, wherein the regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and ocean areas; A region determination module, used for determining residential areas and industrial areas in a land area based on the region map, and determining an aquaculture area in a marine area based on the marine area; An inspection sequence determination module is used to determine the inspection sequence of each sewage outlet based on the residential area, industrial area and aquaculture area, and control the drone to fly above each sewage outlet according to the inspection sequence to collect a first image of each sewage outlet; An emission level determination module, configured to determine the emission level of each sewage outlet based on the inspection sequence and the first image; A control module, used for controlling the drone to fly above the ocean area corresponding to each sewage outlet to acquire a second image; a floating object pollution level determination module, configured to determine the floating object pollution level of each ocean area based on the second image; The sampling order determination module is used to determine the sampling priority of each sea area based on the emission level and the floating matter pollution level.

[0014] By adopting the above technical solution, the map acquisition module obtains the regional map, which enables the regional determination module to determine the residential areas and industrial areas in the regional map. Both residential areas and industrial areas are sources of wastewater and sewage, and the aquaculture area is determined. The aquaculture area is an area that suffers losses when the seawater is seriously polluted, that is, it is affected by the source of pollution and has a high degree of importance. Therefore, the inspection sequence determination module can determine the inspection sequence of each sewage outlet according to the specific conditions of the residential areas, industrial areas and aquaculture areas, and then control the drone to fly above each sewage outlet in the inspection sequence to collect the first image of each sewage outlet. The first image records the specific conditions of sewage discharged from the sewage outlet, which can be used as an important factor in determining the emission level of each sewage outlet. At the same time, the inspection sequence represents the importance of the area where each sewage outlet is located to a certain extent. Therefore, the emission level determination module combines the inspection sequence with the inspection sequence to determine the inspection order of each sewage outlet. The inspection sequence and the first image can accurately determine the emission level of each sewage outlet. The control module controls the UAV to fly above the ocean area corresponding to each sewage outlet to obtain the second image. The second aerial image can collect the specific situation of floating objects and garbage on the sea surface. Floating objects and garbage are also an important part of marine pollution. Therefore, the floating object pollution level determination module determines the floating object pollution level of each ocean area according to the second image. The emission level and the floating object pollution level are both important factors affecting the severity of pollution in the marine area, that is, important factors for the priority of sampling in the sea area at each sewage outlet. Therefore, the sampling priority of each sea area determined by the sampling sequence determination module based on the emission level and the floating object pollution level is more accurate. The staff can find the seriously polluted areas more quickly and more efficiently by sampling according to the determined sampling priority.

[0015] In another possible implementation, when the inspection order determination module determines the inspection order of each sewage outlet based on the residential area, the industrial area, and the aquaculture area, it is specifically used to: Determine the residential area of ​​all residential areas and the industrial area of ​​all industrial areas; Determining a first ratio of the area of ​​the industrial zone to the area of ​​the land region in which the industrial zone is located; Determine the area of ​​each aquaculture area, the distance from each aquaculture area to the sewage outfall, and the total number of aquaculture areas; determining an average distance of all aquaculture areas based on the distances, and determining a second ratio of the number to the average distance; Determining a first sum of the areas of all aquaculture and a second sum of the areas of the industrial areas; determining a third ratio of the first area sum to the second area sum; Determine a first score for each sewage outlet based on the first ratio, the second ratio, the third ratio, and their respective corresponding coefficients; Obtain the number of historical pollution exceeding standards for each sewage outlet, and determine a second score based on the first score and the number of historical pollution exceeding standards; The second scores are sorted to obtain the inspection order.

[0016] In another possible implementation, when the emission level determination module determines the emission level of each sewage outlet based on the inspection sequence and the first image, it is specifically used to: Performing feature recognition on the first image to obtain ripple features and foam features of the sea surface at each sewage outlet, wherein the ripple features represent ripples caused by the impact of sewage discharged from the sewage outlet and the ocean current, and the foam features represent foam formed by the impact of the discharged sewage and the ocean current; Determine the ripple coverage area of ​​the sea area covered by all ripple features; Determine the foam coverage area of ​​the sea area covered by all foam characteristics; A third score is obtained based on the ripple coverage area, the foam coverage area and the respective corresponding coefficients, wherein the third score represents the pollution degree of the sewage discharged from each sewage outlet; Determining a third area sum of the residential area area and the industrial area area, and determining a fourth ratio of the third score to the third area sum; Determining a color value of the sewage from the first image, and determining a difference between the color value and a reference color value; Determine a fourth score based on the third score, the fourth ratio, the difference, and respective corresponding coefficients; Each emission level is determined based on the fourth score and the inspection order.

[0017] In another possible implementation, when determining the sampling priority of each sea area based on the emission level and the floating matter pollution level, the sampling order determination module is specifically used to: Determining a fifth score based on the emission level, floating debris pollution level, and respective corresponding coefficients; The fifth scores corresponding to all sewage outlets are sorted to obtain a sorting result, and the sorting result represents the sampling priority of each sea area.

[0018] In another possible implementation, when determining the floating object pollution level of each ocean area based on the second image, the floating object pollution level determination module is specifically configured to: Performing feature recognition on the second image to obtain features of floating objects in each ocean area; Determining the color of each floating object and determining a first number of color types of all floating objects in each ocean region; determining a second quantity of all floating objects in each ocean area; Determine a sixth score based on the first number, the second number, and respective corresponding coefficients; The floating object pollution level is determined based on the sixth score.

[0019] In another possible implementation, the device further includes: A river determination module, used to determine the rivers that flow into and out of the sea from the regional map corresponding to each sewage outlet; The target river determination module is used to calculate the distance from each river estuary to the sewage outlet, and determine the target river whose distance is less than a preset distance threshold; A data determination module, used to determine the width of each target river at the estuary and the number of the target rivers; A correction module is used to determine an average width based on the width, and to correct the fourth score based on the average width and the number of target rivers.

[0020] In another possible implementation, when the correction module corrects the fourth score based on the average width and the number of target rivers, it is specifically configured to: Determining a correction score based on the width average, the number of target rivers, and respective corresponding coefficients; A revised fourth score is determined based on the revised score and the fourth score.

[0021] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one is configured to: execute a marine pollution monitoring method shown in any possible implementation of the first aspect.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, when the computer program is executed in a computer, causes the computer to execute a marine pollution monitoring method as described in any one of the first aspects.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: Acquiring a regional map can identify residential and industrial areas in the regional map. Both residential and industrial areas are sources of wastewater and sewage, and can identify aquaculture areas. Aquaculture areas are areas that suffer losses when seawater is severely polluted, that is, areas affected by pollution sources, and are of high importance. Therefore, according to the specific conditions of residential, industrial and aquaculture areas, the inspection order of each sewage outlet can be determined, and then the drone is controlled to fly above each sewage outlet in the inspection order to collect the first image of each sewage outlet. The first image records the specific conditions of sewage discharged from the sewage outlet, which can be used as an important factor in determining the emission level of each sewage outlet. At the same time, the inspection order represents the importance of the area where each sewage outlet is located to a certain extent. Therefore, the inspection order and the first image are combined. It can accurately determine the emission level of each sewage outlet, control the UAV to fly above the ocean area corresponding to each sewage outlet to obtain the second image. The second aerial image can collect the specific situation of floating garbage on the sea surface. Floating garbage is also an important part of marine pollution. Therefore, the floating pollution level of each ocean area is determined according to the second image. The emission level and the floating pollution level are important factors affecting the severity of pollution in the marine area, which are also important factors for the priority of sampling in the sea area at each sewage outlet. Therefore, the sampling priority of each sea area determined comprehensively according to the emission level and the floating pollution level is more accurate. The staff can find the seriously polluted areas more quickly and more efficiently by sampling according to the determined sampling priority. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a method for monitoring marine pollution according to an embodiment of the present application.

[0025] Figure 2 It is a structural schematic diagram of a marine pollution monitoring device according to an embodiment of the present application.

[0026] Figure 3 It is a structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings.

[0028] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0031] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0032] The embodiment of the present application provides a marine pollution monitoring method, which is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes step S101, step S102, step S103, step S104, step S105, step S106 and step S107, wherein: S101, obtaining a regional map corresponding to each sewage outlet.

[0033] Among them, the regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and marine areas.

[0034] For the embodiment of the present application, the staff can mark the location of each sewage outlet on the map of the specified range in advance through the visual operation interface. Then the electronic device uses the sewage outlet as the center and selects a circular area with a preset radius as the area map corresponding to each sewage outlet.

[0035] S102, determining residential areas and industrial areas in the land area based on the regional map, and determining aquaculture areas in the marine area based on the marine area.

[0036] For the embodiment of the present application, the electronic device can use the coastline as a dividing line and then determine the land area and the ocean area. The residential area, industrial area and aquaculture area can be marked on the map by the staff according to the data of actual exploration and measurement or the data obtained from remote sensing images, so as to obtain the range corresponding to each area, and then the electronic device can determine the residential area, industrial area and aquaculture area according to the marking. Both residential areas and industrial areas are the source of pollution to the ocean, and the aquaculture area is the area affected by pollution.

[0037] S103, determining the inspection order of each sewage outlet based on residential areas, industrial areas and aquaculture areas, and controlling the drone to fly above each sewage outlet in the inspection order to collect a first image of each sewage outlet.

[0038] For the embodiments of the present application, the garbage, wastewater and other pollutants generated in residential and industrial areas are discharged into the sea through sewage outlets after being processed, which may have an impact on aquaculture areas. Therefore, the electronic device determines the inspection order of each sewage outlet according to the specific conditions of the residential area, the specific conditions of the industrial area and the specific conditions of the aquaculture area. The inspection order represents the priority of each sewage outlet. After determining the inspection order, the electronic device controls the drone to fly in accordance with the inspection order, flies above each sewage outlet and collects the first image of each sewage outlet through the image acquisition device on the drone. After the electronic device determines the inspection order, it determines the flight route of the drone according to the geographical location of each sewage outlet, and controls the drone to fly according to the flight route.

[0039] S104: Determine the discharge level of each sewage outlet based on the inspection sequence and the first image.

[0040] For the embodiment of the present application, the inspection order characterizes the importance of each sewage outlet to a certain extent, and the first image records the specific discharge conditions of the sewage outlet. Therefore, the electronic device determines the emission level of each sewage outlet based on the inspection order and the first image.

[0041] S105, controlling the drone to fly above the ocean area corresponding to each sewage outlet to obtain a second image.

[0042] For the embodiment of the present application, the pollution situation in the ocean area also includes the impact of floating garbage on the ocean surface, so the electronic device controls the drone to fly above the ocean area corresponding to each sewage outlet to obtain a second image.

[0043] Specifically, the electronic device can control the drone to perform a scanning flight according to the outline of the ocean area corresponding to each sewage outlet, and synthesize a second image of the ocean area based on the real-time collected images during the flight.

[0044] S106, determining the floating object pollution level of each ocean area based on the second image.

[0045] In the embodiment of the present application, the second image records the specific situation of floating objects in the ocean area, so the electronic device determines the floating object pollution level of each ocean area based on the second image.

[0046] S107, determining the sampling priority of each sea area based on the emission level and floating debris pollution level.

[0047] For the embodiment of the present application, the emission level and the floating debris pollution level are both key factors in characterizing the severity of pollution in the marine area. Therefore, the electronic device comprehensively determines the sampling priority of each sea area based on the emission level and the floating debris pollution level, that is, it incidentally characterizes the seawater sampling priority of each sea area.

[0048] In a possible implementation of the embodiment of the present application, in step S103, the inspection order of each sewage outlet is determined based on residential areas, industrial areas, and aquaculture areas, specifically including step S1031 (not shown in the figure), step S1032 (not shown in the figure), step S1033 (not shown in the figure), step S1034 (not shown in the figure), step S1035 (not shown in the figure), step S1036 (not shown in the figure), step S1037 (not shown in the figure), step S1038 (not shown in the figure), and step S1039 (not shown in the figure), wherein: S1031, determine the residential area of ​​all residential areas and the industrial area of ​​all industrial areas.

[0049] For the embodiment of the present application, the electronic device can determine the area of ​​each residential area and the area of ​​the industrial area on the regional map, and then sum the areas of all residential areas through the summation formula to obtain the residential area area, and sum the areas of all industrial areas through the summation formula to obtain the industrial area area. The larger the residential area, the more residents there are, the higher the activity enthusiasm of the residents, and the more domestic wastewater is generated. The larger the industrial area, the higher the production enthusiasm, and the more industrial wastewater is generated.

[0050] S1032, determining a first ratio between the area of ​​the industrial zone and the area of ​​the land where the industrial zone is located.

[0051] For the embodiment of the present application, the electronic device calculates a first ratio of the area of ​​the industrial zone to the area of ​​the land area where it is located. The larger the first ratio is, the larger the proportion of the industrial zone area is, the larger the proportion of industrial wastewater generated is, and the corresponding possibility of excessive pollution such as heavy metals in the wastewater is higher, and the corresponding sea area is more important.

[0052] S1033, determining the area of ​​each aquaculture area, the distance from each aquaculture area to the sewage outlet, and the number of all aquaculture areas.

[0053] For the embodiment of the present application, the electronic device determines the area of ​​each aquaculture area on the regional map. The larger the area of ​​the aquaculture area, the greater the loss when it is polluted, and the more important the corresponding sea area is. The electronic device determines the center point of each aquaculture area, and uses the center point to represent the location of the aquaculture area. The electronic device determines the location coordinates of each sewage outlet on the regional map, and then uses the distance formula between two points to calculate the distance from the center point of each aquaculture area to the sewage outlet. The closer the distance, the greater the possibility of being affected by excessive sewage, the greater the loss when it is polluted, and the more important the corresponding sea area is. The electronic device counts the number of aquaculture areas to obtain the total number of aquaculture areas in the regional map of each sewage outlet. The larger the total number, the more important the sea area is.

[0054] S1034, determining an average distance of all aquaculture areas based on the distance, and determining a second ratio of the quantity to the average distance.

[0055] For the embodiment of the present application, after the electronic device determines the distance of each aquaculture area, it uses the average value calculation formula to determine the average distance, and uses the average distance to represent the distance from all aquaculture areas in the regional map to the sewage outlet as a whole. Then the electronic device calculates the second ratio of the number of all aquaculture areas to the average distance, and the larger the second ratio, the more important the sea area.

[0056] S1035, determining the first total area of ​​all aquaculture areas and the second total area of ​​industrial areas.

[0057] For the embodiment of the present application, the electronic device sums up the areas of all aquaculture areas to obtain a first area sum, and sums up the areas of all industrial areas to obtain a second area sum.

[0058] S1036: Determine a third ratio of the first area sum to the second area sum.

[0059] For the embodiment of the present application, the electronic device calculates the third ratio of the first area sum to the second area sum. The larger the third ratio is, the larger the proportion of aquaculture area is, and the more important the sea area is. The second area sum can also be replaced by the difference between the land area and the area of ​​all industrial areas. S1037: Determine a first score for each sewage outlet based on the first ratio, the second ratio, the third ratio, and their corresponding coefficients.

[0060] For the embodiment of the present application, in summary, the first ratio, the second ratio and the third ratio are all key factors regarding the importance of the sea area corresponding to the sewage outlet, and the influence degrees are different. Therefore, the staff can set different coefficients for the first ratio, the second ratio and the third ratio, and then the electronic device calls the corresponding coefficients of the first ratio, the second ratio and the third ratio for weighted calculation to obtain the first score for each sewage outlet.

[0061] S1038, obtaining the number of times each sewage outlet has exceeded the pollution standard in history, and determining a second score based on the first score and the number of times the pollution has exceeded the pollution standard in history.

[0062] For the embodiment of the present application, each time the staff detects that the sewage outlet exceeds the standard, they count and store it on the electronic device, so the electronic device can obtain the number of historical pollution exceeding standards for each sewage outlet in history. The more historical exceeding standards, the more frequent pollution exceeding standards are at the sewage outlet, so the electronic device determines the second score based on the first score of each sewage outlet and the number of historical pollution exceeding standards. For example, different coefficients are set for the first score and the number of historical pollution exceeding standards, and then the electronic device performs weighted calculation on the first score and the number of historical pollution exceeding standards according to their respective corresponding coefficients to determine the second score.

[0063] S1039, sort the second scores to obtain an inspection order.

[0064] For the embodiment of the present application, after the electronic device determines the second score of each sewage outlet, the second score is sorted from large to small to determine the inspection order. The inspection order is more accurately determined by combining the above-mentioned first ratio, second ratio and other important factors.

[0065] In a possible implementation of the embodiment of the present application, in step S104, the discharge level of each sewage outlet is determined based on the inspection sequence and the first image, specifically including step S1041 (not shown in the figure), step S1042 (not shown in the figure), step S1043 (not shown in the figure), step S1044 (not shown in the figure), step S1045 (not shown in the figure), step S1046 (not shown in the figure) and step S1047 (not shown in the figure), wherein: S1041, performing feature recognition on the first image to obtain ripple features and foam features of the sea surface at each sewage outlet.

[0066] Among them, the ripple feature represents the ripples caused by the impact of sewage discharged from the sewage outlet and the ocean water current, and the foam feature represents the foam formed by the impact of the discharged sewage and the ocean water current.

[0067] For the embodiment of the present application, the electronic device inputs the first image into the trained network model for feature recognition to identify the ripple characteristics and foam characteristics of the sea surface at each sewage outlet. Alternatively, edge detection is performed on the first image, and the first image is first denoised, and the denoised first image is gray-scale transformed to obtain a gray-scale image, and the ripple characteristics and foam characteristics are determined from the position where the gray-scale value in the gray-scale image has a step. The ripple characteristics characterize the ripples formed by the impact of sewage discharged into the ocean and seawater, and characterize the discharge flow rate. The foam characteristics characterize the foam produced when sewage and seawater are mixed, and characterize the degree of pollution of the sewage.

[0068] S1042, determining the ripple coverage area of ​​the sea area covered by all ripple features.

[0069] For the embodiment of the present application, the electronic device determines the outermost ripple feature, and the sea area wrapped by the outermost ripple feature is the ripple coverage area. The larger the ripple coverage area, the greater the impact of sewage discharge on seawater and the greater the sewage discharge flow.

[0070] S1042, determining the foam coverage area of ​​the sea area covered by all foam characteristics.

[0071] For the embodiment of the present application, the electronic device determines the area of ​​each bubble and each group of bubbles, and then sums the areas of all bubble features to obtain the bubble coverage area. The larger the bubble coverage area, the more serious the pollution in the sewage.

[0072] S1043, obtaining a third score based on the ripple coverage area, the foam coverage area and their respective corresponding coefficients, the third score representing the pollution degree of sewage discharged from each sewage outlet.

[0073] For the embodiments of the present application, in summary, the corrugation coverage area and the foam coverage area are both important factors affecting the severity of sewage discharge. Therefore, the staff sets different coefficients for the corrugation coverage area and the foam coverage area, and then the electronic equipment calls the corresponding coefficients for the corrugation coverage area and the foam coverage area for weighted calculation to determine the third score that characterizes the degree of pollution of the discharged sewage.

[0074] S1044, determining a third area sum of the residential area and the industrial area, and determining a fourth ratio of the third score to the third area sum.

[0075] For the embodiment of the present application, the electronic device adds the residential area and the industrial area of ​​each regional map to obtain the third area sum, and then the electronic device calculates a fourth ratio of the third score to the third area sum. The larger the fourth ratio, the higher the degree of sewage discharge. In other embodiments, the third area sum can also be replaced by the difference between the land area and the third area sum.

[0076] S1045, determining a color value of the sewage from the first image, and determining a difference between the color value and a reference color value.

[0077] For the embodiment of the present application, the electronic device determines the color value of the sewage discharged from the sewage outlet, and then determines the gray value of the color value. The reference color is the color of the sewage when it does not exceed the standard. The electronic device determines the gray value of the reference color, that is, the color value is represented by the gray value. The electronic device calculates the difference between the gray value of the sewage and the gray value of the reference color value. The difference represents the deviation between the sewage color and the reference color. The larger the difference, the more serious the sewage pollution.

[0078] S1046: Determine a fourth score based on the third score, the fourth ratio, the difference, and their respective corresponding coefficients.

[0079] For the embodiments of the present application, in summary, the third score, the fourth ratio and the difference are all important factors affecting the degree of sewage discharge, and the degree of influence is different. Therefore, the staff sets different coefficients for the third score and the fourth ratio, and the electronic equipment performs weighted calculation on the third score and the fourth ratio according to their respective corresponding coefficients to determine the fourth score.

[0080] S1047, determine each emission level based on the fourth score and the inspection order.

[0081] For the embodiment of the present application, the fourth score and the inspection order are both key factors affecting the emission level of each sewage outlet, so the staff sets different coefficients for the fourth score and the inspection order, and the electronic device determines a score for the fourth score and the inspection order corresponding to the sewage outlet according to the respective corresponding coefficients. A plurality of preset score intervals are pre-stored in the electronic device, each preset score interval corresponds to an emission level, and the electronic device determines the emission level by determining the interval where each score is located.

[0082] In a possible implementation of the embodiment of the present application, in step S107, the sampling priority of each sea area is determined based on the emission level and the floating matter pollution level, which specifically includes step S1071 (not shown in the figure) and step S1072 (not shown in the figure), wherein: S1071, determining a fifth score based on the emission level, floating debris pollution level, and their respective corresponding coefficients.

[0083] S1072, sorting the fifth scores corresponding to all sewage outlets to obtain a sorting result.

[0084] Among them, the sorting results represent the sampling priority of each sea area.

[0085] For the embodiment of the present application, the emission level and floating object pollution level corresponding to each sewage outlet are important factors affecting the importance of pollution in each sea area. Therefore, the staff sets the coefficients of the emission level and floating object pollution level in advance, and then the electronic device performs weighted calculation on the emission level and floating object pollution level according to their corresponding coefficients to obtain the fifth score. The larger the fifth score, the higher the degree of pollution in the corresponding sea area, and the more priority sampling is needed. Then the electronic device sorts the fifth score from large to small to obtain the sorting result of each sea area, that is, the priority order. It is more accurate to comprehensively determine the sampling priority order of each sea area by the emission level and the floating object pollution level.

[0086] In a possible implementation of the embodiment of the present application, in step S106, the floating object pollution level of each ocean area is determined based on the second image, specifically including step S1061 (not shown in the figure), step S1062 (not shown in the figure), step S1063 (not shown in the figure), step S1064 (not shown in the figure) and step S1065 (not shown in the figure), wherein: S1061, performing feature recognition on the second image to obtain features of floating objects in each ocean area.

[0087] For the embodiment of the present application, the electronic device inputs the second image into the trained network model for feature recognition to obtain the floating object features in each ocean area. The floating object features belong to garbage floating on the sea surface, which also pollutes the ocean. The network model can be a convolutional neural network model, a recurrent neural network model, or other types of network models.

[0088] S1062, determining the color of each floating object, and determining a first number of color types of all floating objects in each ocean area.

[0089] For the embodiment of the present application, the electronic device performs color recognition on each floating object feature to obtain the color of each floating object. Specifically, the electronic device can input the floating object feature into a convolutional neural network model capable of recognizing colors for color recognition. After determining the color, the electronic device determines the first number of all color types that have appeared in each ocean area. The more color types there are, the more types of floating objects there are, and the floating objects may be attached with pollutants, that is, the more color types there are, the more complex the floating objects are, and the more serious the floating object pollution is.

[0090] S1063, determining a second quantity of all floating objects in each ocean area.

[0091] In the embodiment of the present application, the electronic device counts all floating objects in each ocean area to obtain a second number. A larger second number indicates a more serious floating object pollution.

[0092] S1064: Determine a sixth score based on the first number, the second number, and their respective corresponding coefficients.

[0093] For the embodiment of the present application, the first quantity and the second quantity are both important factors affecting the severity of pollutants. Therefore, the staff sets different coefficients for the first quantity and the second quantity, and then the electronic device performs weighted calculation on the first quantity and the second quantity according to their respective corresponding coefficients to obtain the sixth score.

[0094] S1065, determining the floating object pollution level based on the sixth score.

[0095] In the embodiment of the present application, a plurality of preset score intervals are stored in the electronic device, each preset score interval corresponds to a preset floating object pollution level, the electronic device determines the preset score interval where the sixth score is located, and then determines the pollution level corresponding to the preset score interval as the floating object pollution level. It is more accurate to determine the floating object pollution level by comprehensively determining the sixth score through the first quantity and the second quantity.

[0096] In a possible implementation of the embodiment of the present application, step S104 further includes step S108 (not shown in the figure), step S109 (not shown in the figure), step S110 (not shown in the figure), and step S111 (not shown in the figure), wherein: S108, determining the rivers that flow into and out of the sea from the regional map corresponding to each sewage outlet.

[0097] For the embodiment of the present application, the river may be a naturally formed river, or an artificially excavated canal or waterway. The electronic device performs feature recognition on the regional map, thereby identifying the rivers that flow into the sea in each regional map. Specifically, the electronic device may input the regional map into a trained convolutional neural network model for feature recognition, thereby identifying the river. The flow of rivers into the sea will dilute the seawater, which may reduce the degree of seawater pollution in the sea area where the sewage outlet is located.

[0098] S109, calculating the distance from each river estuary to the sewage outlet, and determining the target river whose distance is less than a preset distance threshold.

[0099] For the embodiment of the present application, after the electronic device identifies the river entering the sea, it marks the estuary on the regional map and determines the coordinates of the estuary. The coordinates of the estuary and the sewage outlet are known, and then the distance between the river estuary and the sewage outlet is calculated using the distance formula between the two points. The preset distance threshold is used as the distance dividing point for whether the river can affect the concentration of seawater pollution at the sewage outlet. If it is less than the preset distance threshold, it means that the river entering the sea will affect the concentration of pollutants in the seawater at the sewage outlet and the accuracy of subsequent sampling. Therefore, the electronic device determines the target river whose distance is less than the preset distance threshold.

[0100] S110, determining the width of each target river at the estuary, and determining the number of target rivers.

[0101] For the embodiment of the present application, after the electronic device determines the target river, it determines the width of the target river at the estuary on the regional map. The larger the width, the more fresh water flows into the ocean, and the greater the impact on the accuracy of the pollution sampling detection of the sewage outlet. Similarly, the electronic device counts the target rivers to obtain the number of target rivers. The larger the number of target rivers, the greater the impact on the accuracy of the pollution sampling detection of the sewage outlet.

[0102] S111, determining an average width based on the width, and correcting the fourth score based on the average width and the number of target rivers.

[0103] For the embodiment of the present application, the electronic device uses the average value calculation formula to calculate the average width of all target rivers entering the sea, and uses the average width value to characterize the impact of width on the pollution concentration of the sewage outlet as a whole. In summary, the average width value and the number of target rivers are important factors affecting the accuracy of the discharge level of the sewage outlet, and the discharge level is determined based on the fourth score and the inspection order. Therefore, the electronic device corrects the fourth score based on the average width value and the number of target rivers. By analyzing the rivers entering the sea and correcting the fourth score, the discharge level is more accurate.

[0104] In a possible implementation of the embodiment of the present application, in step S111, the fourth score is corrected based on the average width and the number of target rivers, specifically including step Sa (not shown in the figure) and step Sb (not shown in the figure), wherein: Sa, the correction score is determined based on the average width, the number of target rivers and their corresponding coefficients.

[0105] Sb, determining a revised fourth score based on the revised score and the fourth score.

[0106] For the embodiments of the present application, in summary, the average width and the average number of target rivers are key factors affecting the fourth score. Therefore, the staff sets different coefficients for the average width and the number of target rivers. The electronic device uses the corresponding coefficients to perform weighted calculation on the average width and the number of target rivers to obtain a corrected score. Then, the electronic device adds the fourth score to the corrected score to obtain the corrected fourth score.

[0107] The above embodiment introduces a marine pollution monitoring method from the perspective of method flow, and the following embodiment introduces a marine pollution monitoring device from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0108] The present application embodiment provides a marine pollution monitoring device 20, such as Figure 2 As shown, the marine pollution monitoring device 20 may specifically include: A map acquisition module 201 is used to acquire a regional map corresponding to each sewage outlet. The regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and ocean areas; A region determination module 202, for determining residential areas and industrial areas in land areas based on the region map, and determining aquaculture areas in marine areas based on marine areas; The inspection sequence determination module 203 is used to determine the inspection sequence of each sewage outlet based on the residential area, industrial area and aquaculture area, and control the drone to fly above each sewage outlet according to the inspection sequence to collect the first image of each sewage outlet; An emission level determination module 204, configured to determine the emission level of each sewage outlet based on the inspection sequence and the first image; The control module 205 is used to control the drone to fly above the ocean area corresponding to each sewage outlet to obtain a second image; A floating object pollution level determination module 206, for determining the floating object pollution level of each ocean area based on the second image; The sampling order determination module 207 is used to determine the sampling priority of each sea area based on the emission level and the floating matter pollution level.

[0109] The embodiment of the present application discloses a marine pollution monitoring device 20, wherein the map acquisition module 201 acquires the regional map to enable the regional determination module 202 to determine the residential areas and industrial areas in the regional map. The residential areas and industrial areas are both sources of wastewater and sewage, and the aquaculture area is determined. The aquaculture area is an area that causes losses when the seawater is seriously polluted, that is, it is affected by the pollution source and has a high degree of importance. Therefore, the inspection sequence determination module 203 can determine the inspection sequence of each sewage outlet according to the specific conditions of the residential areas, industrial areas and aquaculture areas, and then control the drone to fly above each sewage outlet in the inspection sequence to collect the first image of each sewage outlet. The first image records the specific conditions of sewage discharged from the sewage outlet, which can be used as an important factor in determining the emission level of each sewage outlet. At the same time, the inspection sequence represents the importance of the area where each sewage outlet is located to a certain extent, so the emission level is determined. The determination module 204 can accurately determine the emission level of each sewage outlet in combination with the inspection sequence and the first image. The control module 205 controls the drone to fly above the ocean area corresponding to each sewage outlet to obtain the second image. The second aerial image can collect the specific situation of floating objects and garbage on the sea surface. Floating objects and garbage are also an important part of marine pollution. Therefore, the floating object pollution level determination module 206 determines the floating object pollution level of each marine area according to the second image. The emission level and the floating object pollution level are both important factors affecting the severity of pollution in the marine area, that is, important factors for the priority of sampling in the sea area at each sewage outlet. Therefore, the sampling priority of each sea area determined by the sampling order determination module 207 based on the emission level and the floating object pollution level is more accurate. The staff can find the seriously polluted areas more quickly and more efficiently by sampling according to the determined sampling priority.

[0110] In a possible implementation of the embodiment of the present application, the inspection sequence determination module 203 is specifically used to determine the inspection sequence of each sewage outlet based on the residential area, industrial area and aquaculture area: Determine the residential area of ​​all residential areas and the industrial area of ​​all industrial areas; Determine a first ratio of the area of ​​the industrial zone to the area of ​​the land area in which it is located; Determine the area of ​​each aquaculture area, the distance from each aquaculture area to the sewage outfall, and the total number of aquaculture areas; determining an average distance for all aquaculture areas based on the distances, and determining a second ratio of the number to the average distance; Determine the first sum of all aquaculture areas and the second sum of industrial areas; determining a third ratio of the first area sum to the second area sum; Determine a first score for each sewage outlet based on the first ratio, the second ratio, the third ratio, and the respective corresponding coefficients; Obtain the number of historical pollution exceeding standards for each sewage outlet, and determine a second score based on the first score and the number of historical pollution exceeding standards; The second scores are sorted to obtain an inspection order.

[0111] In a possible implementation of the embodiment of the present application, when the emission level determination module 204 determines the emission level of each sewage outlet based on the inspection sequence and the first image, it is specifically used to: Performing feature recognition on the first image to obtain ripple features and foam features of the sea surface at each sewage outlet, wherein the ripple features represent the ripples caused by the impact of sewage discharged from the sewage outlet and the ocean current, and the foam features represent the foam formed by the impact of the discharged sewage and the ocean current; Determine the ripple coverage area of ​​the sea area covered by all ripple features; Determine the foam coverage area of ​​the sea area covered by all foam characteristics; A third score is obtained based on the ripple coverage area, the foam coverage area and the respective corresponding coefficients, and the third score represents the pollution degree of the sewage discharged from each sewage outlet; Determine the third area sum of the residential area and the industrial area, and determine a fourth ratio of the third score to the third area sum; Determining a color value of the sewage from the first image, and determining a difference between the color value and a reference color value; determining a fourth score based on the third score, the fourth ratio, the difference, and respective corresponding coefficients; Each emission level is determined based on the fourth score and the inspection order.

[0112] In a possible implementation of the embodiment of the present application, the sampling order determination module 207 is specifically used to determine the sampling priority of each sea area based on the emission level and the floating matter pollution level: Determine the fifth score based on the emission level, floating debris pollution level and their respective corresponding coefficients; The fifth scores corresponding to all sewage outlets are sorted to obtain a sorting result, which represents the sampling priority of each sea area.

[0113] In a possible implementation of the embodiment of the present application, when the floating object pollution level determination module 206 determines the floating object pollution level of each ocean area based on the second image, it is specifically used to: Performing feature recognition on the second image to obtain features of floating objects in each ocean area; Determining the color of each floating object and determining a first number of color types of all floating objects in each ocean region; determining a second quantity of all floating objects in each ocean area; Determine a sixth score based on the first number, the second number, and the respective corresponding coefficients; The floating debris pollution level is determined based on the sixth score.

[0114] In a possible implementation of the embodiment of the present application, the device 20 further includes: A river determination module, used to determine the rivers that flow into and out of the sea from the regional map corresponding to each sewage outlet; The target river determination module is used to calculate the distance from each river estuary to the sewage outlet, and determine the target river whose distance is less than a preset distance threshold; A data determination module is used to determine the width of each target river at the estuary and the number of target rivers; The correction module is used to determine an average width based on the width, and to correct the fourth score based on the average width and the number of target rivers.

[0115] In a possible implementation manner of the embodiment of the present application, when the correction module corrects the fourth score based on the average width and the number of target rivers, it is specifically used to: The correction score is determined based on the average width, the number of target rivers and their respective corresponding coefficients; A revised fourth score is determined based on the revised score and the fourth score.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the marine pollution monitoring device 20 described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0117] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 30 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0118] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0119] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0120] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0121] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0122] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0123] The embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the related art, in the embodiment of the present application, obtaining a regional map can determine the residential areas and industrial areas in the regional map. Both residential areas and industrial areas are sources of wastewater and sewage, and determine the aquaculture area. The aquaculture area is an area that causes losses when the seawater is seriously polluted, that is, it is affected by the source of pollution. It is of high importance. Therefore, according to the specific conditions of the residential areas, industrial areas and aquaculture areas, the inspection order of each sewage outlet can be determined, and then the drone is controlled to fly above each sewage outlet in the inspection order to collect the first image of each sewage outlet. The first image records the specific conditions of sewage discharged from the sewage outlet, which can be used as an important factor in determining the discharge level of each sewage outlet. At the same time, the inspection order represents the importance of the area where each sewage outlet is located to a certain extent. Therefore, combined with the inspection The sequence and the first image can accurately determine the emission level of each sewage outlet, and control the drone to fly above the ocean area corresponding to each sewage outlet to obtain the second image. The second aerial image can collect the specific situation of floating garbage on the sea surface. Floating garbage is also an important part of marine pollution. Therefore, the floating pollution level of each ocean area is determined according to the second image. The emission level and the floating pollution level are important factors affecting the severity of pollution in the marine area, that is, the priority of sampling in the sea area at each sewage outlet. Therefore, the sampling priority of each sea area determined comprehensively according to the emission level and the floating pollution level is more accurate. The staff can find the seriously polluted areas faster and more efficiently by sampling according to the determined sampling priority.

[0124] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0125] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring marine pollution, characterized in that: include: Obtaining a regional map corresponding to each sewage outlet, wherein the regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and marine areas; Determine residential areas and industrial areas in the land area based on the regional map, and determine aquaculture areas in the marine area based on the marine area; Determine an inspection order for each sewage outlet based on the residential area, industrial area, and aquaculture area, and control the drone to fly above each sewage outlet in the inspection order to collect a first image of each sewage outlet; Determine the discharge level of each sewage outlet based on the inspection sequence and the first image; Controlling the drone to fly above the ocean area corresponding to each sewage outlet to acquire a second image; determining a floating debris pollution level in each ocean area based on the second image; The sampling priority for each sea area is determined based on the emission level and floating debris pollution level.

2. A method for monitoring marine pollution according to claim 1, characterized in that: The inspection sequence of each sewage outlet is determined based on the residential area, industrial area and aquaculture area, including: Determine the residential area of ​​all residential areas and the industrial area of ​​all industrial areas; Determining a first ratio of the area of ​​the industrial zone to the area of ​​the land region in which the industrial zone is located; Determine the area of ​​each aquaculture area, the distance from each aquaculture area to the sewage outfall, and the total number of aquaculture areas; determining an average distance of all aquaculture areas based on the distances, and determining a second ratio of the number to the average distance; Determining a first sum of the areas of all aquaculture and a second sum of the areas of the industrial areas; determining a third ratio of the first area sum to the second area sum; Determine a first score for each sewage outlet based on the first ratio, the second ratio, the third ratio, and their respective corresponding coefficients; Obtain the number of historical pollution exceeding standards for each sewage outlet, and determine a second score based on the first score and the number of historical pollution exceeding standards; The second scores are sorted to obtain the inspection order.

3. A method for monitoring marine pollution according to claim 1, characterized in that: The step of determining the discharge level of each sewage outlet based on the inspection sequence and the first image includes: Performing feature recognition on the first image to obtain ripple features and foam features of the sea surface at each sewage outlet, wherein the ripple features represent ripples caused by the impact of sewage discharged from the sewage outlet and the ocean current, and the foam features represent foam formed by the impact of the discharged sewage and the ocean current; Determine the ripple coverage area of ​​the sea area covered by all ripple features; Determine the foam coverage area of ​​the sea area covered by all foam characteristics; A third score is obtained based on the ripple coverage area, the foam coverage area and the respective corresponding coefficients, wherein the third score represents the pollution degree of the sewage discharged from each sewage outlet; Determining a third area sum of the residential area area and the industrial area area, and determining a fourth ratio of the third score to the third area sum; Determining a color value of the sewage from the first image, and determining a difference between the color value and a reference color value; Determine a fourth score based on the third score, the fourth ratio, the difference, and respective corresponding coefficients; Each emission level is determined based on the fourth score and the inspection order.

4. A method for monitoring marine pollution according to claim 1, characterized in that: The sampling priority of each sea area is determined based on the emission level and floating debris pollution level, including: Determining a fifth score based on the emission level, floating debris pollution level, and respective corresponding coefficients; The fifth scores corresponding to all sewage outlets are sorted to obtain a sorting result, and the sorting result represents the sampling priority of each sea area.

5. A method for monitoring marine pollution according to claim 1, characterized in that: The determining the floating object pollution level of each ocean area based on the second image comprises: Performing feature recognition on the second image to obtain features of floating objects in each ocean area; Determining the color of each floating object and determining a first number of color types of all floating objects in each ocean region; determining a second quantity of all floating objects in each ocean area; Determine a sixth score based on the first number, the second number, and respective corresponding coefficients; The floating object pollution level is determined based on the sixth score.

6. A method for monitoring marine pollution according to claim 3, characterized in that: The method further comprises: Determine the rivers that flow into and out of the sea from the regional map corresponding to each sewage outlet; Calculate the distance from each river estuary to the sewage outlet, and determine the target river whose distance is less than the preset distance threshold; Determine the width of each target river at its estuary, and determine the number of the target rivers; A width average is determined based on the width, and the fourth score is corrected based on the width average and the number of target rivers.

7. A method for monitoring marine pollution according to claim 6, characterized in that: The modifying of the fourth score based on the average width and the number of target rivers comprises: Determining a correction score based on the width average, the number of target rivers, and respective corresponding coefficients; A revised fourth score is determined based on the revised score and the fourth score.

8. A marine pollution monitoring device, characterized in that: include: A map acquisition module, used to acquire a regional map corresponding to each sewage outlet, wherein the regional map is delineated with the sewage outlet as the center, and the regional map includes land areas and ocean areas; A region determination module, used for determining residential areas and industrial areas in a land area based on the region map, and determining an aquaculture area in a marine area based on the marine area; An inspection sequence determination module is used to determine the inspection sequence of each sewage outlet based on the residential area, industrial area and aquaculture area, and control the drone to fly above each sewage outlet according to the inspection sequence to collect a first image of each sewage outlet; An emission level determination module, configured to determine the emission level of each sewage outlet based on the inspection sequence and the first image; A control module, used for controlling the drone to fly above the ocean area corresponding to each sewage outlet to acquire a second image; a floating object pollution level determination module, configured to determine the floating object pollution level of each ocean area based on the second image; The sampling order determination module is used to determine the sampling priority of each sea area based on the emission level and the floating matter pollution level.

9. An electronic device, characterized in that: It includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and is configured to be executed by the at least one processor, and the at least one application is used to execute a marine pollution monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute a marine pollution monitoring method as claimed in any one of claims 1 to 7.

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