Automatic identification, tracking and analysis system and method for environmental pollution source

Abstract

The invention discloses an automatic identification tracking analysis system and method for an environmental pollution source, and the method comprises the steps: obtaining and analyzing the biological related information of a sea, and judging whether to carry out the pollution related behavior analysis of the sea in a target monitoring region; acquiring and analyzing land activity behavior information, ship related information and ocean engineering related information of the ocean in the target monitoring area to obtain land pollution probability parameters, ship pollution probability parameters and ocean engineering pollution probability parameters; comprehensively analyzing the pollution probability parameters to obtain marine pollution probability parameters; meanwhile, the pollution probability parameters are sorted and analyzed, the marine pollution source tracking result of the target monitoring area is determined according to the pollution probability sorting result, and therefore pollution sources are managed. The method achieves the tracking and targeted management of pollution sources of the ocean, improves the efficiency and effect of pollution prevention and control, and is of great significance for maintaining the ecological balance of the ocean and promoting the sustainable development.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental pollution tracking and analysis, and in particular to a system and method for automatically identifying, tracking and analyzing environmental pollution sources. Background Art

[0002] The ocean is one of the most important resources on Earth. When the marine environment is polluted, it will not only affect marine life, but may also affect human health through the food chain. Therefore, protecting the marine environment is crucial to achieving sustainable development. Tracking and analyzing marine pollution sources helps to rationally utilize and protect marine resources and provide sustainable support for economic and social development.

[0003] In the existing technology, the identification and tracking of marine environmental pollution sources are mainly carried out through remote sensing technology, biological monitoring technology and data mining technology, but these technologies have their own limitations. For example, remote sensing technology may be affected by weather and marine environmental conditions, resulting in a decrease in the quality of images and data, and biological monitoring technology may be limited by biological species and distribution, and cannot fully reflect the pollution situation. Therefore, there is an urgent need for an automatic identification, tracking and analysis method for marine environmental pollution sources. Summary of the invention

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present application provides a system and method for automatically identifying, tracking and analyzing environmental pollution sources.

[0005] In a first aspect, the present application provides a method for automatically identifying, tracking and analyzing environmental pollution sources, the method comprising:

[0006] Obtaining biological related information of the ocean in the target monitoring area, analyzing and processing the biological related information, and obtaining probability parameters of pollution in the ocean in the target monitoring area;

[0007] According to the pollution existence probability parameter, determine whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area to obtain a behavior analysis confirmation result;

[0008] Based on the behavior analysis confirmation result, obtaining the land activity behavior information of the area surrounding the ocean in the target monitoring area, analyzing the land activity behavior information, obtaining the probability of the existence of land pollution sources in the ocean in the target monitoring area, and generating land pollution probability parameters;

[0009] Obtaining ship-related information in the target monitoring area, analyzing and processing the ship-related information, obtaining the probability of the existence of a ship pollution source in the target monitoring area, and generating a ship pollution probability parameter;

[0010] Obtaining relevant information about marine engineering in the target monitoring area, analyzing and processing the relevant information about the marine engineering, obtaining the probability of engineering construction pollution in the target monitoring area, and generating marine engineering pollution probability parameters;

[0011] Comprehensively analyzing the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters, obtaining the probability of marine pollution in the target monitoring area, and generating marine pollution probability parameters;

[0012] Based on the ocean pollution probability parameters, the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters are sorted and analyzed to obtain pollution probability sorting results, and the ocean pollution source tracking results in the target monitoring area are determined according to the pollution probability sorting results, and the pollution sources are managed based on the pollution source tracking results.

[0013] Preferably, biological related information of the ocean in the target monitoring area is obtained, wherein the biological related information includes biological physiological behavior information and biological population related information;

[0014] The biological physiological behavior information includes swimming behavior information, body color information and social behavior information. Based on the swimming behavior information, body color information and social behavior information, it is determined whether the biological has abnormal physiological behavior, and the probability of abnormal biological behavior is obtained;

[0015] The biological population related information includes biological species information and biological quantity information, and based on the biological species information and biological quantity information, it is determined whether there is biological population anomaly, and the probability of biological population anomaly is obtained;

[0016] Combining the abnormal probability of biological behavior and the abnormal probability of biological population, the abnormal biological health parameters of the ocean in the target monitoring area are obtained;

[0017] Based on the biological health anomaly parameters, the probability of environmental pollution in the ocean of the target monitoring area is obtained, and a pollution existence probability parameter is generated.

[0018] Preferably, based on the pollution existence probability parameter, the pollution existence probability parameter is compared with a pollution existence standard probability threshold;

[0019] When the pollution existence probability parameter does not reach the pollution existence standard probability threshold, there is no environmental pollution in the ocean of the target monitoring area, and there is no need to conduct pollution-related behavior analysis on the ocean of the target monitoring area;

[0020] When the pollution existence probability parameter reaches the pollution existence standard probability threshold, there is environmental pollution in the ocean of the target monitoring area, and a pollution-related behavior analysis is performed on the ocean of the target monitoring area to obtain a behavior analysis confirmation result.

[0021] Preferably, the land activity behavior information includes industrial production behavior information and residents' life behavior information;

[0022] Analyze the industrial production behavior information to determine whether there is industrial production emission behavior and obtain the industrial production pollution probability, wherein the industrial production emission behavior refers to the emission of industrial wastewater, industrial waste gas and industrial solid waste;

[0023] Analyze the residents' living behavior information to determine whether there are residents' living emission behaviors and obtain the residents' living pollution probability, wherein the residents' living emission behaviors refer to the emission behaviors of domestic sewage and domestic garbage;

[0024] By combining the industrial production pollution probability and the residents' living pollution probability, the probability of the existence of land pollution sources in the ocean of the target monitoring area is obtained, and the land pollution probability parameters are generated.

[0025] Preferably, ship-related information in the ocean of the target monitoring area is obtained, wherein the ship-related information includes ship navigation information and ship accident information, and the ship accident information refers to grounding accident and reef accident information;

[0026] Based on the ship navigation information, the content of exhaust gas substances generated during the ship navigation is obtained, and the probability of ship navigation pollution is obtained according to the exhaust gas substance content;

[0027] Based on the ship accident information, determine whether there is fuel leakage and release of harmful substances, and obtain the probability of pollution caused by the ship accident;

[0028] The probability of ship pollution in the target monitoring area is obtained by combining the probability of ship pollution and the probability of ship accident pollution, and the ship pollution probability parameter is generated. The marine engineering related information of the target monitoring area is obtained, and the marine engineering related information includes marine oil extraction engineering information, marine oil transportation engineering information and marine military engineering information;

[0029] Based on the offshore oil production engineering information, determine whether there is an oil blowout phenomenon and obtain an oil production pollution probability parameter;

[0030] Based on the offshore oil transportation engineering information, determine whether there is an oil pipeline leakage phenomenon and obtain an oil transportation pollution probability parameter;

[0031] Based on the marine military engineering information, the content of harmful substances generated during the military engineering exercise is obtained, and the probability of military engineering pollution is obtained according to the content of harmful substances;

[0032] By combining the oil extraction pollution probability parameters, oil transportation pollution probability parameters and military engineering pollution probability, the probability of engineering construction pollution in the target monitoring area is obtained, and the marine engineering pollution probability parameters are generated.

[0033] Preferably, the land pollution probability parameter is marked as LWG, the ship pollution probability parameter is marked as CWG, and the marine engineering pollution probability parameter is marked as HWG;

[0034] The probability of ocean pollution in the target monitoring area is calculated by the formula HYW=w1×LWG+w2×CWG+w3×HWG to generate the ocean pollution probability parameter HYW, where w1, w2 and w3 are proportional factors and are greater than zero.

[0035] Preferably, based on the ocean pollution probability parameter, the ocean pollution probability parameter is compared with a standard ocean pollution probability threshold;

[0036] When the ocean pollution probability parameter does not reach the standard ocean pollution probability threshold, there is no need to manage the ocean pollution in the target monitoring area;

[0037] When the ocean pollution probability parameter reaches the standard ocean pollution probability threshold, it is necessary to manage the ocean pollution existing in the target monitoring area;

[0038] Extracting the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter, and sorting the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter in descending order to obtain a pollution probability sorting result;

[0039] Based on the pollution probability ranking results, determine the pollution source of the ocean in the target monitoring area and obtain the pollution source tracking results;

[0040] Based on the pollution source tracking results, obtain pollution source location information, pollution intensity information and pollution diffusion path information;

[0041] Based on the pollution source location information, pollution intensity information and pollution diffusion path information, pollution control guidance information is obtained to manage the pollution source.

[0042] In a second aspect, an automatic identification, tracking and analysis system for environmental pollution sources includes:

[0043] A pollution presence analysis module is used to obtain biological related information of the ocean in the target monitoring area, analyze and process the biological related information, and obtain pollution presence probability parameters of the ocean in the target monitoring area;

[0044] A behavior analysis confirmation module is used to determine whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area according to the pollution existence probability parameter, and obtain a behavior analysis confirmation result;

[0045] A land pollution analysis module is used to obtain land activity behavior information in the area around the ocean in the target monitoring area based on the behavior analysis confirmation result, analyze the land activity behavior information, obtain the probability of the existence of land pollution sources in the ocean in the target monitoring area, and generate land pollution probability parameters;

[0046] The ship pollution analysis module is used to obtain ship-related information in the target monitoring area, analyze and process the ship-related information, obtain the probability of the existence of ship pollution sources in the target monitoring area, and generate ship pollution probability parameters;

[0047] The engineering pollution analysis module is used to obtain the marine engineering related information of the target monitoring area, analyze and process the marine engineering related information, obtain the probability of engineering construction pollution in the target monitoring area, and generate the marine engineering pollution probability parameter;

[0048] A pollution probability analysis module is used to comprehensively analyze the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters, obtain the probability of pollution in the ocean of the target monitoring area, and generate marine pollution probability parameters;

[0049] The pollution management module is used to sort and analyze the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters based on the marine pollution probability parameters, obtain pollution probability sorting results, determine the marine pollution source tracking results in the target monitoring area according to the pollution probability sorting results, and manage the pollution sources based on the pollution source tracking results.

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

[0051] 1. By collecting and analyzing relevant information of marine organisms in the target monitoring area, based on the analysis results of biological information, it is determined whether there is pollution in the target area, and further confirmed whether a more in-depth analysis of pollution-related behavior is needed in the area, which helps to allocate resources efficiently and conduct in-depth analysis only on areas where pollution may exist. Collect and analyze information on land activities around the target monitoring area, including industrial emissions and residential sewage discharge, to assess the possible impact of land pollution sources on the ocean and identify potential pollution sources. Collect and analyze information on ships sailing on the ocean in the target monitoring area to assess the pollution risks that may be caused by ship activities; at the same time, obtain and analyze information on marine engineering activities carried out in the target marine area to assess the impact of these projects on the environment. Comprehensively analyze the pollution probability parameters of land, ships and marine engineering to obtain the overall probability of pollution in the target marine area, thereby providing a comprehensive pollution risk assessment and helping to understand the overall pollution status of the target area. Based on the marine pollution probability parameters, different types of pollution sources are ranked and analyzed to determine which pollution sources have the greatest impact on the target area, so as to conduct targeted pollution source tracking and management, and improve the efficiency and effectiveness of pollution prevention and control.

[0052] 2. By setting a standard threshold for pollution, the possibility of pollution in different regions and at different time points can be uniformly and objectively evaluated. If the probability of pollution is lower than the threshold, it means that the environmental conditions in the ocean of the target monitoring area are relatively good, and there is no need to invest further resources in pollution-related behavior analysis, thereby saving manpower, material resources and time costs. At the same time, it avoids unnecessary intervention when the environmental conditions are good, which helps to protect the natural balance of the ecosystem. Once the probability of pollution reaches or exceeds the standard threshold, it means that there may be environmental pollution problems in the ocean of the target monitoring area. At this time, it is necessary to conduct pollution-related behavior analysis. By conducting in-depth pollution-related behavior analysis of the ocean in the target monitoring area, it can ensure timely detection and response to potential environmental pollution, provide data support for subsequent pollution source tracking and pollution control, help prevent further deterioration of pollution incidents, and may reduce long-term damage to the marine ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flowchart of a method for automatically identifying, tracking and analyzing environmental pollution sources, which is mainly embodied in this embodiment;

[0054] Figure 2 This is a structural block diagram of an automatic identification, tracking and analysis system for environmental pollution sources mainly embodied in this embodiment.

[0055] Explanation of the accompanying drawings: 1. Pollution existence analysis module; 2. Behavior analysis confirmation module; 3. Land pollution analysis module; 4. Ship pollution analysis module; 5. Engineering pollution analysis module; 6. Pollution probability analysis module; 7. Pollution management module. DETAILED DESCRIPTION

[0056] The following combination Figure 1-Figure 2 The present application is further described in detail, but the embodiments of the present invention are not limited thereto.

[0057] A method and system for automatically identifying, tracking and analyzing environmental pollution sources, the method comprising the following steps:

[0058] S1. Obtaining biological related information of the target monitoring area, analyzing and processing the biological related information, and obtaining the probability parameter of pollution in the target monitoring area;

[0059] S2. judging whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area according to the pollution existence probability parameter, and obtaining a behavior analysis confirmation result;

[0060] S3. Based on the behavior analysis confirmation result, obtain the land activity behavior information of the target monitoring area and the surrounding area of ​​the ocean, analyze the land activity behavior information, obtain the probability of the existence of land pollution sources in the target monitoring area, and generate land pollution probability parameters;

[0061] S4. Obtain ship-related information in the target monitoring area, analyze and process the ship-related information, obtain the probability of the presence of ship pollution sources in the target monitoring area, and generate ship pollution probability parameters;

[0062] S5. Obtaining relevant information about marine engineering in the target monitoring area, analyzing and processing the relevant information about the marine engineering, obtaining the probability of engineering pollution in the target monitoring area, and generating a marine engineering pollution probability parameter;

[0063] S6. Comprehensively analyze the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters to obtain the probability of marine pollution in the target monitoring area and generate marine pollution probability parameters;

[0064] S7. Based on the marine pollution probability parameters, the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters are sorted and analyzed to obtain pollution probability sorting results, and the marine pollution source tracking results in the target monitoring area are determined according to the pollution probability sorting results, and the pollution sources are managed based on the pollution source tracking results.

[0065] In actual application, by collecting and analyzing relevant information of marine organisms in the target monitoring area, based on the analysis results of biological information, it is judged whether there is pollution in the target area, and further confirmed whether it is necessary to conduct a more in-depth analysis of pollution-related behavior in the area, which helps to allocate resources efficiently and only conduct in-depth analysis on areas where pollution may exist. Land activities are one of the important factors leading to marine pollution. Collect and analyze land activity information around the target monitoring area, including industrial emissions and residents' sewage discharge, to obtain land pollution probability parameters to assess the possible impact of land pollution sources on the ocean, which helps to identify potential pollution sources. Ships are one of the important sources of marine pollution, especially when ships run aground, run aground, etc., resulting in ship fuel leakage or other harmful substances released, which will cause pollution to the marine environment. Collect and analyze information on ships sailing on the ocean in the target monitoring area to assess the pollution risks that may be caused by ship activities and obtain ship pollution probability parameters. At the same time, marine engineering activities are often accompanied by the discharge of various pollutants, posing a potential threat to the marine environment. Obtain and analyze information on marine engineering activities carried out in the target marine area to obtain marine engineering pollution probability parameters to assess the impact of these projects on the environment. A comprehensive analysis of the pollution probability parameters of land, ships and marine engineering is conducted to obtain the overall probability of pollution in the target marine area, thus providing a comprehensive pollution risk assessment, which helps to understand the overall pollution status of the target area, and not only helps to timely discover and respond to marine pollution problems, but also provides strong data support for marine environmental protection measures. Based on the marine pollution probability parameters, different types of pollution sources are ranked and analyzed to determine which pollution sources have the greatest impact on the target area, so as to conduct targeted pollution source tracking and management, and improve the efficiency and effectiveness of pollution prevention and control.

[0066] The specific step S1 includes the following sub-steps:

[0067] S11. Obtaining biological related information in the target monitoring area, wherein the biological related information includes biological physiological behavior information and biological population related information;

[0068] S12. The biological physiological behavior information includes swimming behavior information, body color information and social behavior information. Based on the swimming behavior information, body color information and social behavior information, it is determined whether the organism has abnormal physiological behavior and the probability of abnormal behavior of the organism is obtained;

[0069] S13. The biological population related information includes biological species information and biological quantity information. Based on the biological species information and biological quantity information, it is determined whether there is a biological population abnormality, and the probability of biological population abnormality is obtained;

[0070] S14. Combining the abnormal probability of biological behavior and the abnormal probability of biological population, obtaining abnormal biological health parameters of the ocean in the target monitoring area;

[0071] S15. Based on the biological health anomaly parameters, the probability of environmental pollution in the ocean of the target monitoring area is obtained, and pollution existence probability parameters are generated.

[0072] In actual application, we obtain physiological and behavioral information such as swimming behavior, body color and social behavior of organisms. The abnormality of these physiological and behavioral information is often a direct reflection of the organisms to adverse environmental conditions. By comparing the normal behavior pattern, we can identify abnormal behavior and obtain the abnormal probability of biological behavior. Changes in the species and number of organisms are important indicators of environmental health. For example, the reduction or decrease of certain sensitive species may be a signal of environmental deterioration. By monitoring the information of biological populations, abnormal changes in biological populations often reflect the overall condition of the environment and are an important basis for assessing environmental health. The abnormal probability of biological populations is calculated to provide data support for the subsequent assessment of environmental pollution probability. Comprehensively considering the abnormal probabilities of both behavior and population, we can obtain a more comprehensive and accurate environmental health assessment result, namely, the biological health abnormality parameter. The probability of environmental pollution can be inferred by the biological health abnormality parameter. This is an indirect and effective environmental monitoring method. It can determine whether there is pollution in the target area and further confirm whether a more in-depth pollution-related behavior analysis is needed in the area, which helps to allocate resources efficiently.

[0073] The specific step S2 includes the following sub-steps:

[0074] S21. Based on the pollution existence probability parameter, the pollution existence probability parameter is compared with the pollution existence standard probability threshold;

[0075] S22. When the pollution existence probability parameter does not reach the pollution existence standard probability threshold, there is no environmental pollution in the target monitoring area ocean, and there is no need to conduct pollution-related behavior analysis on the target monitoring area ocean;

[0076] S23. When the pollution existence probability parameter reaches the pollution existence standard probability threshold, there is environmental pollution in the ocean of the target monitoring area, and a pollution-related behavior analysis is performed on the ocean of the target monitoring area to obtain a behavior analysis confirmation result.

[0077] In actual application, by setting a standard threshold for pollution, the possibility of pollution in different regions and at different time points can be uniformly and objectively evaluated. If the probability of pollution is lower than the threshold, it means that the environmental conditions in the ocean of the target monitoring area are relatively good, and there is no need to invest further resources in pollution-related behavior analysis, thereby saving manpower, material resources and time costs. At the same time, it avoids unnecessary intervention when the environmental conditions are good, which helps to protect the natural balance of the ecosystem. Once the probability of pollution reaches or exceeds the standard threshold, it means that there may be environmental pollution problems in the ocean of the target monitoring area. At this time, it is necessary to conduct pollution-related behavior analysis. By conducting in-depth pollution-related behavior analysis of the ocean in the target monitoring area, it can ensure timely detection and response to potential environmental pollution, provide data support for subsequent pollution source tracking and pollution control, help prevent further deterioration of pollution incidents, and may reduce long-term damage to the marine ecosystem.

[0078] The specific step S3 includes the following sub-steps:

[0079] S31. The land activity behavior information includes industrial production behavior information and residents' life behavior information;

[0080] S32. Analyze the industrial production behavior information to determine whether there is industrial production emission behavior and obtain the industrial production pollution probability, wherein the industrial production emission behavior refers to the emission of industrial wastewater, industrial waste gas and industrial solid waste;

[0081] S33. Analyze the residents' living behavior information to determine whether there are residents' living discharge behaviors and obtain the residents' living pollution probability, wherein the residents' living discharge behaviors refer to the discharge behaviors of domestic sewage and domestic garbage;

[0082] S34. Combining the industrial production pollution probability and the resident life pollution probability, the probability of the existence of land pollution sources in the target monitoring area is obtained, and the land pollution probability parameter is generated.

[0083] In actual application, industrial production is one of the main sources of environmental pollution. Through in-depth analysis of industrial production behavior information, potential industrial production emission behaviors can be effectively identified, including the emission of industrial wastewater, waste gas and solid waste. These emissions contain a variety of harmful substances, which can be transmitted through rivers, groundwater and air and eventually enter the ocean, causing harm to the marine ecosystem. The probability of industrial production pollution can be calculated based on the total amount of emissions. Residential emission behaviors, such as domestic sewage and domestic garbage, although the emission volume of a single household may not be large, will have a significant impact on the environment overall. Analyzing the information of residents' living behaviors helps to understand the source of pollution more comprehensively. By analyzing the total amount of residents' emissions, the probability of residents' living pollution can be calculated. Combining the pollution probabilities of industrial production and residents' lives, the overall probability of the existence of land pollution sources in the ocean of the target monitoring area is obtained, thereby more comprehensively assessing the pollution status of the area, helping to determine the priority of pollution control and reasonably allocate resources to maximize environmental benefits.

[0084] The specific step S4 includes the following sub-steps:

[0085] S41. Obtaining ship-related information in the target monitoring area, wherein the ship-related information includes ship navigation information and ship accident information, wherein the ship accident information refers to grounding accident and reef accident information;

[0086] S42. Based on the ship navigation information, the content of exhaust gas substances generated during the ship navigation is obtained, and the probability of ship navigation pollution is obtained according to the content of the exhaust gas substances;

[0087] S43. Based on the ship accident information, determine whether there is fuel leakage and release of harmful substances, and obtain the probability of pollution caused by the ship accident;

[0088] S44. Combining the pollution probability of ship navigation and the pollution probability of ship accidents, the probability of ship pollution in the ocean of the target monitoring area is obtained, and a ship pollution probability parameter is generated.

[0089] In actual application, ships will produce exhaust gas during navigation. Monitoring the content of these exhaust gas substances is the key to assessing the degree of pollution to the marine environment. By obtaining the content of exhaust gas substances, the degree of pollution caused by ship navigation to the marine environment can be quantified, and then the probability of pollution caused by ship navigation can be obtained. Ship accidents such as grounding and reefing can cause fuel leakage and release of harmful substances, causing serious pollution to the environment. By analyzing the information of ship accidents, it is possible to accurately determine whether there is fuel leakage and release of harmful substances, obtain the probability of pollution caused by ship accidents, and thus assess the pollution risk to the marine environment. For example, the fuel consumption rate and exhaust gas emission factor of a certain ship are obtained, and the content of waste substances such as sulfur oxides and nitrogen oxides generated by the ship during navigation is estimated. According to the content of exhaust gas substances and relevant environmental standards, the probability of pollution caused by ship navigation is calculated. Taking into account the pollution probability of both ship navigation and accidents, the overall probability of ship pollution in the target monitoring area can be more comprehensively assessed. The generated ship pollution probability parameters are helpful to prevent potential pollution risks in advance and formulate more effective marine environmental protection measures to take rapid response measures when pollution incidents occur. For example, information related to ship grounding and reef accidents can be obtained, and based on the severity of the accident and the cargo load of the ship, it can be determined whether there is a risk of fuel leakage and release of harmful substances, and the probability of pollution from ship accidents can be calculated based on the results of accident analysis and pollution assessment.

[0090] The specific step S5 includes the following sub-steps:

[0091] S51. Obtaining marine engineering related information of the target monitoring area, wherein the marine engineering related information includes marine oil exploitation engineering information, marine oil transportation engineering information and marine military engineering information;

[0092] S52. Based on the offshore oil production engineering information, determine whether there is an oil blowout phenomenon and obtain an oil production pollution probability parameter;

[0093] S53. Based on the offshore oil transportation engineering information, determine whether there is an oil pipeline leakage phenomenon and obtain an oil transportation pollution probability parameter;

[0094] S54. Based on the marine military engineering information, the content of harmful substances generated during the military engineering exercise is obtained, and the probability of military engineering pollution is obtained according to the content of harmful substances;

[0095] S55. Combining the oil extraction pollution probability parameters, oil transportation pollution probability parameters and military engineering pollution probability, the probability of engineering construction pollution in the target monitoring area is obtained, and the marine engineering pollution probability parameters are generated.

[0096] In actual application, oil blowout is a serious pollution event, which will cause a large amount of oil to leak into the ocean and cause great damage to the marine ecology. By analyzing the relevant data in the oil extraction process, the risk of blowout can be identified in advance, which helps to take preventive measures and reduce the occurrence of pollution events. Oil pipeline leakage is also one of the main causes of marine pollution. By monitoring and analyzing the status and data of oil transportation pipelines, assessing whether there is a risk of leakage, and timely discovering and dealing with leakage risks, it is of great significance to protect the marine environment and maintain ecological balance. Marine military activities may produce various harmful substances, which are potentially harmful to the marine environment. Collecting and analyzing the data of harmful substances generated during military engineering exercises, understanding the types and contents of these substances, will help assess their impact on the marine ecology and take corresponding protective measures. The pollution probability parameters of oil extraction, oil transportation and military engineering are comprehensively considered and analyzed to obtain the marine engineering pollution probability parameter. This parameter provides a comprehensive perspective to assess the overall pollution risk of marine engineering construction in the target monitoring area to the environment, which helps decision makers to formulate more scientific and reasonable environmental protection and management strategies to deal with potential pollution threats. It is of great significance to maintain the balance of marine ecology, protect human health and promote sustainable development.

[0097] The specific step S6 includes the following sub-steps:

[0098] S61. Mark the land pollution probability parameter as LWG, the ship pollution probability parameter as CWG, and the marine engineering pollution probability parameter as HWG;

[0099] S62. The probability of ocean pollution in the target monitoring area is calculated through a formula to generate an ocean pollution probability parameter HYW, where w1, w2 and w3 are proportional factors and are greater than zero.

[0100] The specific step S7 includes the following sub-steps:

[0101] S71. Based on the ocean pollution probability parameter, comparing the ocean pollution probability parameter with a standard ocean pollution probability threshold;

[0102] S72. When the ocean pollution probability parameter does not reach the standard ocean pollution probability threshold, there is no need to manage the ocean pollution existing in the target monitoring area;

[0103] S73. When the ocean pollution probability parameter reaches the standard ocean pollution probability threshold, it is necessary to manage the ocean pollution existing in the target monitoring area;

[0104] S74. Extract the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter, and sort the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter in descending order to obtain a pollution probability sorting result;

[0105] S75. Based on the pollution probability ranking results, determine the pollution source of the ocean in the target monitoring area and obtain the pollution source tracking results;

[0106] S76. Based on the pollution source tracking results, obtain pollution source location information, pollution intensity information and pollution diffusion path information;

[0107] S77. Based on the pollution source location information, pollution intensity information and pollution diffusion path information, obtain pollution control guidance information to manage the pollution source.

[0108] In actual application, by comparing the marine pollution probability parameters with the preset standard marine pollution probability threshold, it is possible to determine whether the pollution risk in the target monitoring area has reached the level where management measures need to be taken, thus avoiding waste of resources. When the pollution risk is low, no action can be taken temporarily, thus saving manpower and material resources. When the pollution risk reaches or exceeds the preset threshold, the probability parameters of land pollution, ship pollution and marine engineering pollution are extracted and sorted. Based on the sorting results of the pollution probability, the most important pollution sources in the target monitoring area are determined, which helps to focus on dealing with the most important pollution problems, thereby improving management efficiency. By tracking the pollution sources, information such as the location of the pollution source, the pollution intensity and the diffusion path of the pollution is obtained, providing a data basis for formulating precise pollution control strategies, thereby obtaining professional pollution control guidance information, and minimizing the negative impact on the marine environment. Assuming that the ocean pollution probability parameter of the target monitoring area is 0.6 (ranging from 0 to 1, where 1 indicates complete pollution and 0 indicates no pollution), the probability parameter is compared with the preset standard ocean pollution probability threshold. Assuming the standard threshold is 0.5, since 0.6>0.5, the pollution probability parameter reaches the standard ocean pollution probability threshold, and the ocean pollution in the target monitoring area needs to be managed. If the land pollution probability parameter obtained is 0.4, the ship pollution probability parameter is 0.3, and the marine engineering pollution probability parameter is 0.6, then marine engineering pollution> land pollution> ship pollution. Based on the sorting results, it is determined that marine engineering is the main source of pollution. The specific location of the pollution source is obtained, such as a specific marine engineering project site. The pollution intensity information shows that the pollutant concentration in the area exceeds the safety standard. The pollution diffusion path information shows that the pollutants mainly spread to the northwest through the flow of seawater. Based on the above information, targeted pollution control guidance information is obtained to strengthen the supervision of pollution sources, improve engineering operation procedures, and use more environmentally friendly materials to manage and reduce pollution, thereby protecting the health and safety of the marine environment.

[0109] Reference Figure 2, an automatic identification, tracking and analysis system for environmental pollution sources, including a pollution existence analysis module, a behavior analysis confirmation module, a land pollution analysis module, a ship pollution analysis module, an engineering pollution analysis module, a pollution probability analysis module and a pollution management module. First, the pollution existence analysis module obtains biological related information of the ocean in the target monitoring area, analyzes and processes the biological related information, and obtains the pollution existence probability parameters of the ocean in the target monitoring area; then, the behavior analysis confirmation module is used to determine whether to perform pollution-related behavior analysis on the ocean in the target monitoring area according to the pollution existence probability parameters, and obtains the behavior analysis confirmation result; then, through the land pollution analysis module, based on the behavior analysis confirmation result, the land activity behavior information of the area around the ocean in the target monitoring area is obtained, the land activity behavior information is analyzed, the probability of the existence of land pollution sources in the ocean in the target monitoring area is obtained, and the land pollution probability parameters are generated; then, the ship pollution analysis module obtains ship-related information of the ocean in the target monitoring area The relevant information is obtained by analyzing and processing the ship-related information, and the probability of the existence of ship pollution sources in the ocean of the target monitoring area is obtained, and the ship pollution probability parameters are generated; the engineering pollution analysis module is then used to obtain the marine engineering-related information of the ocean in the target monitoring area, and the marine engineering-related information is analyzed and processed to obtain the probability of the existence of engineering construction pollution in the ocean of the target monitoring area, and the marine engineering pollution probability parameters are generated; then, through the pollution probability analysis module, the land pollution probability parameters, the ship pollution probability parameters and the marine engineering pollution probability parameters are comprehensively analyzed to obtain the probability of the existence of pollution in the ocean of the target monitoring area, and the marine pollution probability parameters are generated; finally, the pollution management module, based on the marine pollution probability parameters, sorts and analyzes the land pollution probability parameters, the ship pollution probability parameters and the marine engineering pollution probability parameters to obtain the pollution probability sorting results, determines the marine pollution source tracking results in the target monitoring area according to the pollution probability sorting results, and manages the pollution sources based on the pollution source tracking results.

[0110] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for automatically identifying, tracking and analyzing environmental pollution sources, characterized in that: The following steps are involved: Obtaining biological related information of the ocean in the target monitoring area, analyzing and processing the biological related information, and obtaining probability parameters of pollution in the ocean in the target monitoring area; According to the pollution existence probability parameter, determine whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area, and obtain a behavior analysis confirmation result; Based on the behavior analysis confirmation result, obtaining the land activity behavior information of the area surrounding the ocean in the target monitoring area, analyzing the land activity behavior information, obtaining the probability of the existence of land pollution sources in the ocean in the target monitoring area, and generating land pollution probability parameters; Obtaining ship-related information in the target monitoring area, analyzing and processing the ship-related information, obtaining the probability of the existence of a ship pollution source in the target monitoring area, and generating a ship pollution probability parameter; Obtaining relevant information about marine engineering in the target monitoring area, analyzing and processing the relevant information about the marine engineering, obtaining the probability of engineering construction pollution in the target monitoring area, and generating a marine engineering pollution probability parameter; Comprehensively analyzing the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters, obtaining the probability of marine pollution in the target monitoring area, and generating marine pollution probability parameters; Based on the ocean pollution probability parameters, the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters are sorted and analyzed to obtain pollution probability sorting results, and the ocean pollution source tracking results in the target monitoring area are determined according to the pollution probability sorting results, and the pollution sources are managed based on the pollution source tracking results.

2. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 1, characterized in that: The steps of obtaining biological related information of the ocean in the target monitoring area, analyzing and processing the biological related information, and obtaining the pollution existence probability parameter of the ocean in the target monitoring area are specifically as follows: Obtaining biological information of the ocean in the target monitoring area, wherein the biological information includes biological physiological behavior information and biological population information; The biological physiological behavior information includes swimming behavior information, body color information and social behavior information. Based on the swimming behavior information, body color information and social behavior information, it is determined whether the biological has abnormal physiological behavior, and the probability of abnormal biological behavior is obtained; The biological population related information includes biological species information and biological quantity information, and based on the biological species information and biological quantity information, it is determined whether there is biological population anomaly, and the probability of biological population anomaly is obtained; Combining the abnormal probability of biological behavior and the abnormal probability of biological population, the abnormal biological health parameters of the ocean in the target monitoring area are obtained; Based on the biological health anomaly parameters, the probability of environmental pollution in the ocean of the target monitoring area is obtained, and a pollution existence probability parameter is generated.

3. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 2, characterized in that: The steps of determining whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area according to the pollution existence probability parameter and obtaining the behavior analysis confirmation result are specifically as follows: Based on the pollution existence probability parameter, comparing the pollution existence probability parameter with a pollution existence standard probability threshold; When the pollution existence probability parameter does not reach the pollution existence standard probability threshold, there is no environmental pollution in the ocean of the target monitoring area, and there is no need to conduct pollution-related behavior analysis on the ocean of the target monitoring area; When the pollution existence probability parameter reaches the pollution existence standard probability threshold, there is environmental pollution in the ocean of the target monitoring area, and a pollution-related behavior analysis is performed on the ocean of the target monitoring area to obtain a behavior analysis confirmation result.

4. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 1, characterized in that: Based on the behavior analysis confirmation result, the steps of obtaining the land activity behavior information of the area surrounding the ocean in the target monitoring area, analyzing the land activity behavior information, obtaining the probability of the existence of land pollution sources in the ocean in the target monitoring area, and generating the land pollution probability parameter are specifically as follows: The land activity behavior information includes industrial production behavior information and residents' life behavior information; Analyze the industrial production behavior information to determine whether there is industrial production emission behavior and obtain the industrial production pollution probability, wherein the industrial production emission behavior refers to the emission of industrial wastewater, industrial waste gas and industrial solid waste; Analyze the residents' living behavior information to determine whether there are residents' living emission behaviors and obtain the residents' living pollution probability, wherein the residents' living emission behaviors refer to the emission behaviors of domestic sewage and domestic garbage; By combining the industrial production pollution probability and the residents' living pollution probability, the probability of the existence of land pollution sources in the ocean of the target monitoring area is obtained, and the land pollution probability parameters are generated.

5. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 4, characterized in that: The steps of obtaining ship-related information in the target monitoring area ocean, analyzing and processing the ship-related information, obtaining the probability of the existence of a ship pollution source in the target monitoring area ocean, and generating a ship pollution probability parameter are specifically as follows: Obtaining ship-related information in the ocean of the target monitoring area, wherein the ship-related information includes ship navigation information and ship accident information, wherein the ship accident information refers to grounding accident and reef-running accident information; Based on the ship navigation information, the content of exhaust gas substances generated during the ship navigation is obtained, and the probability of ship navigation pollution is obtained according to the exhaust gas substance content; Based on the ship accident information, determine whether there is fuel leakage and release of harmful substances, and obtain the probability of pollution caused by the ship accident; By combining the pollution probability of ship navigation and the pollution probability of ship accidents, the probability of ship pollution in the ocean of the target monitoring area is obtained, and the ship pollution probability parameter is generated.

6. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 5, characterized in that: The steps of obtaining relevant information about marine engineering in the ocean of the target monitoring area, analyzing and processing the relevant information about the marine engineering, obtaining the probability of engineering construction pollution in the ocean of the target monitoring area, and generating the probability parameter of marine engineering pollution are specifically as follows: Obtaining relevant information about marine engineering in the target monitoring area, wherein the relevant information about marine engineering includes marine oil exploitation engineering information, marine oil transportation engineering information and marine military engineering information; Based on the offshore oil production engineering information, determine whether there is an oil blowout phenomenon and obtain an oil production pollution probability parameter; Based on the offshore oil transportation engineering information, determine whether there is an oil pipeline leakage phenomenon and obtain an oil transportation pollution probability parameter; Based on the marine military engineering information, the content of harmful substances generated during the military engineering exercise is obtained, and the probability of military engineering pollution is obtained according to the content of harmful substances; The probability of engineering pollution in the target monitoring area is obtained by combining the oil production pollution probability parameter, oil transportation pollution probability parameter and military engineering pollution probability, and the marine engineering pollution probability parameter is generated. The marine engineering related information of the target monitoring area is obtained, and the marine engineering related information includes marine oil production engineering information, marine oil transportation engineering information and marine military engineering information; Based on the offshore oil production engineering information, determine whether there is an oil blowout phenomenon and obtain an oil production pollution probability parameter; Based on the offshore oil transportation engineering information, determine whether there is an oil pipeline leakage phenomenon and obtain an oil transportation pollution probability parameter; Based on the marine military engineering information, the content of harmful substances generated during the military engineering exercise is obtained, and the probability of military engineering pollution is obtained according to the content of harmful substances; By combining the oil extraction pollution probability parameters, oil transportation pollution probability parameters and military engineering pollution probability, the probability of engineering construction pollution in the target monitoring area is obtained, and the marine engineering pollution probability parameters are generated.

7. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 6, characterized in that: Comprehensively analyzing the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters to obtain the probability of marine pollution in the target monitoring area, and generating the marine pollution probability parameters, specifically, the steps are as follows: The land pollution probability parameter is marked as LWG, the ship pollution probability parameter is marked as CWG, and the marine engineering pollution probability parameter is marked as HWG; The probability of ocean pollution in the target monitoring area is calculated by the formula HYW=w1×LWG+w2×CWG+w3×HWG to generate the ocean pollution probability parameter HYW, where w1, w2 and w3 are proportional factors and are greater than zero.

8. The method for automatically identifying, tracking and analyzing environmental pollution sources according to claim 7, characterized in that: Based on the marine pollution probability parameter, the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter are sorted and analyzed to obtain a pollution probability sorting result, and the marine pollution source in the target monitoring area is determined according to the pollution probability sorting result, and the pollution source tracking result is obtained, and the steps of managing the pollution source based on the pollution source tracking result are specifically as follows: Based on the ocean pollution probability parameter, comparing the ocean pollution probability parameter with a standard ocean pollution probability threshold; When the ocean pollution probability parameter does not reach the standard ocean pollution probability threshold, there is no need to manage the ocean pollution in the target monitoring area; When the ocean pollution probability parameter reaches the standard ocean pollution probability threshold, it is necessary to manage the ocean pollution existing in the target monitoring area; Extracting the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter, and sorting the land pollution probability parameter, the ship pollution probability parameter and the marine engineering pollution probability parameter in descending order to obtain a pollution probability sorting result; Based on the pollution probability ranking results, determine the pollution source of the ocean in the target monitoring area and obtain the pollution source tracking results; Based on the pollution source tracking results, obtain pollution source location information, pollution intensity information and pollution diffusion path information; Based on the pollution source location information, pollution intensity information and pollution diffusion path information, pollution control guidance information is obtained to manage the pollution source.

9. An automatic identification, tracking and analysis system for environmental pollution sources, characterized in that: A method for automatically identifying, tracking and analyzing environmental pollution sources according to any one of claims 1 to 8, comprising: A pollution presence analysis module is used to obtain biological related information of the ocean in the target monitoring area, analyze and process the biological related information, and obtain pollution presence probability parameters of the ocean in the target monitoring area; A behavior analysis confirmation module is used to determine whether to conduct pollution-related behavior analysis on the ocean in the target monitoring area according to the pollution existence probability parameter, and obtain a behavior analysis confirmation result; A land pollution analysis module is used to obtain land activity behavior information in the area around the ocean in the target monitoring area based on the behavior analysis confirmation result, analyze the land activity behavior information, obtain the probability of the existence of land pollution sources in the ocean in the target monitoring area, and generate land pollution probability parameters; The ship pollution analysis module is used to obtain ship-related information in the target monitoring area, analyze and process the ship-related information, obtain the probability of the existence of ship pollution sources in the target monitoring area, and generate ship pollution probability parameters; The engineering pollution analysis module is used to obtain the marine engineering related information of the target monitoring area, analyze and process the marine engineering related information, obtain the probability of engineering construction pollution in the target monitoring area, and generate the marine engineering pollution probability parameter; A pollution probability analysis module is used to comprehensively analyze the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters, obtain the probability of pollution in the ocean of the target monitoring area, and generate marine pollution probability parameters; The pollution management module is used to sort and analyze the land pollution probability parameters, ship pollution probability parameters and marine engineering pollution probability parameters based on the marine pollution probability parameters, obtain pollution probability sorting results, determine the marine pollution source tracking results in the target monitoring area according to the pollution probability sorting results, and manage the pollution sources based on the pollution source tracking results.

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