An evaluation system and method for analyzing the degree of marine pollution based on buoys

Abstract

The present invention discloses an evaluation system and method for analyzing the degree of marine pollution based on buoys, and relates to the technical field of marine pollution analysis. The evaluation system comprises functional modules that run in sequence, including: a buoy deployment module, a determination and collection module, an early warning and reporting module, a pollution analysis module, a pollution evaluation module, and an analysis and governance module. The scenario targeted by the system is a bay. Considering the existence of high tide and low tide in the bay, the system can complete the evaluation and analysis of the degree of seawater pollution in the target bay within a cycle of high tide and low tide, and a corresponding number of buoys need to be arranged in response to the actual area of ​​the target bay. The technical key points are: the system can realize real-time monitoring, intelligent early warning, accurate evaluation and dynamic governance of the water quality of the target bay; by giving priority to dispatching personnel to the marked position, dynamically adjusting the estimated value of the governance dispatch, and other measures, the pertinence and efficiency of the governance work are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of marine pollution analysis, and in particular to an evaluation system and method for marine pollution degree analysis based on buoys. Background Art

[0002] Marine pollution generally refers to human beings changing the original state of the ocean, resulting in the destruction of the marine ecosystem. This pollution may be caused by various substances, including waste, pollutants and harmful substances discharged from land or sea. Chemical pollution includes oil and oil products, heavy metals, pesticides, fertilizers and other industrial chemicals. These substances may enter the ocean through discharge, leakage or improper treatment, causing direct harm to marine life and disrupting the ecological balance of the ocean. Marine pollution poses a serious threat to both marine biodiversity and human health. It may cause the death of marine life, the collapse of the ecosystem, and even affect the human food chain and coastal tourism.

[0003] When analyzing the degree of marine pollution, the types and concentrations of pollutants are analyzed: qualitative and quantitative analysis of pollutants in the marine environment is carried out to determine the types of pollutants (such as heavy metals, organic pollutants, nutrients, petroleum, etc.) and concentration levels, which helps to assess the toxicity, bioaccumulation and environmental persistence of pollutants, as well as their potential impacts on marine organisms and ecosystems;

[0004] However, when traditionally analyzing or evaluating the degree of pollution in marine areas such as bays, people usually only consider collecting water quality indicators in the bay, such as pH value, heavy metal content, etc., and conduct comprehensive evaluation based on various water quality indicators. This method has a wide range of applicability, but when dealing with bay areas, the effectiveness and accuracy of its evaluation are insufficient. For example, there are high tides and low tides in the bay. If water quality indicator data is only collected along the coast, real-time data collection operations cannot be performed at low tide. When pollution is found in the corresponding sea area, real-time alarms are usually issued and staff are dispatched to handle or investigate. However, due to the large area of ​​the sea area, manual dispatch is usually insufficient, and human resources for governance cannot be effectively allocated, which will affect the effectiveness and timeliness of governance of polluted areas in the bay to a certain extent, and is not conducive to the sustainable development of the marine ecosystem. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides an assessment system and method for analyzing the degree of marine pollution based on buoys. The buoys are reasonably arranged to ensure the comprehensiveness and accuracy of the detection data. Real-time and comprehensive water quality monitoring and intelligent early warning can promptly detect and deal with water quality problems, effectively prevent and control bay pollution, generate governance dispatch estimates based on corresponding water quality indicators, provide a scientific basis for dispatching governance personnel, and dynamically adjust the number of dispatched personnel according to the pollution situation, thereby achieving optimal allocation of governance resources and solving the problems raised in the background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] An evaluation system for analyzing the degree of marine pollution based on buoys, the system comprising:

[0010] The buoy deployment module deploys a buoy assembly in the selected target bay. The buoy assembly includes several buoys. Class A buoys are used to detect seawater at high tide; Class B buoys are used to detect seawater at high tide and low tide; Class C buoys are used to determine whether the pollution source enters the target bay due to high tide;

[0011] The sensor group configured on the buoy component collects water quality indicators, including dissolved oxygen, pH value, heavy metal content, pesticide residue content, and microbial flora content, compares each indicator with the corresponding standard value, and outputs the comparison result;

[0012] The early warning reporting module receives the comparison results. When any indicator exceeds the standard within a high tide and low tide period T in the target bay, the corresponding buoy sends out an early warning signal and outputs the early warning information.

[0013] The pollution analysis module receives and analyzes the warning information and obtains the pollution analysis results;

[0014] The pollution assessment module receives warning information and triggers the type focus determination mechanism. Based on the determination results, it simultaneously collects the number of buoys that send out warning signals, establishes a comprehensive assessment formula, and calculates the pollution level assessment value of the target bay within the period T.

[0015] The analysis and governance module retrieves the number of buoys that send out warning signals according to the size of the pollution level assessment value, builds an estimated calculation formula, generates an estimated governance dispatch value, and dispatches a corresponding number of governance-related staff to the current target bay based on the estimated governance dispatch value; retrieves the pollution level assessment value corresponding to each period T in the historical time period S, and uses the trend analysis method to determine the overall trend of the pollution level assessment value; under the condition that the overall trend is a downward trend, uses the anomaly detection algorithm to identify fluctuation anomalies, and counts the number of fluctuation anomalies, and implements the strategy of increasing personnel.

[0016] Furthermore, Class A and Class B buoys are evenly distributed, the detection range of several Class A buoys completely covers the nearshore area, the detection range of several Class B buoys completely covers the deep water area, and Class C buoys are arranged at the intersection of water currents in the target bay.

[0017] Furthermore, the warning information includes the corresponding exceeding index, the exceeding degree, the exceeding duration and the established detection area of ​​the corresponding buoy; wherein the exceeding degree indicates the value of the corresponding exceeding index exceeding the corresponding standard value.

[0018] Further, the process of analyzing the warning information is as follows:

[0019] At the first high tide, if the Class C buoy sends out a warning signal, mark the position of the Class C buoy;

[0020] In a high tide and low tide cycle T, the corresponding buoys that send out warning signals are obtained in chronological order, and the corresponding buoys are connected to obtain the diffusion path and distribution of the pollution source, and displayed synchronously on the remote interface;

[0021] At the first high tide, if any Class A buoy sends out a warning signal, the position of the corresponding Class A buoy will be marked.

[0022] Furthermore, the trigger type focuses on the determination mechanism:

[0023] A rule engine is pre-built. When the target bay is found to be a marine fishery area, the water quality indicators that are focused on are dissolved oxygen, pH value and heavy metal content; when the target bay is found to be a human living area, the water quality indicators that are focused on are pesticide residue content and microbial colony content; when the target bay is found to be neither a marine fishery area nor a human living area, there is no water quality indicator that is focused on.

[0024] Furthermore, if the judgment result is: the water quality indicators that are focused on are dissolved oxygen, pH value and heavy metal content;

[0025] The comprehensive evaluation formula established is as follows:

[0026]

[0027] Where Pav represents the pollution level assessment value, Respectively represent the excess of dissolved oxygen, pH value, and heavy metal content. Respectively represent the duration of excessive levels of dissolved oxygen, pH value, and heavy metal content. They represent the standard values ​​of dissolved oxygen, pH value, and heavy metal content respectively. B represents the number of buoys that issue warning signals. They represent the excess of pesticide residues and microbial flora, respectively. Respectively represent the duration of pesticide residues and microbial flora exceeding the standard. They represent the standard values ​​corresponding to the pesticide residue content and microbial flora content respectively;

[0028] If the judgment result is: the water quality indicators that are of particular concern are the pesticide residue content and the microbial colony content;

[0029] The comprehensive evaluation formula established is as follows:

[0030]

[0031] If the judgment result is: there is no water quality indicator that is of particular concern;

[0032] The comprehensive evaluation formula established is as follows:

[0033] .

[0034] Furthermore, after dispatching a corresponding number of governance-related staff to the current target bay based on the estimated value of the governance dispatch, the pollution analysis results are retrieved simultaneously. When it is determined that there is a marked location, personnel are dispatched to the marked location first.

[0035] Furthermore, the estimated calculation formula is as follows:

[0036]

[0037] In the formula, E represents the estimated value of governance dispatch, It represents the preset maximum number of buoys, ln represents the natural logarithm, sin represents the sine function, which is used to introduce periodic changes, C represents the correction coefficient, and the initial correction coefficient C is 1.

[0038] Furthermore, the anomaly detection algorithm includes any one of Isolation Forest and LOF;

[0039] The strategic process of implementing additional personnel is as follows:

[0040] According to the number of abnormal fluctuation points in the historical time period S, a correction calculation formula is constructed to generate a corrected second correction factor, which is applied to the estimated calculation formula. The difference between the generated governance dispatch estimate and the initial governance dispatch estimate is used as the number of additional personnel.

[0041] Among them, the constructed correction calculation formula is:

[0042]

[0043] In the formula, represents the second correction factor, which is obtained after the correction factor C is corrected. Indicates the number of abnormal fluctuation points that appear in the historical time period S.

[0044] A method for evaluating the degree of marine pollution based on buoys comprises the following steps:

[0045] S1. Deploy a buoy assembly in the selected target bay, which includes several buoys; Class A buoys are used to detect seawater at high tide; Class B buoys are used to detect seawater at high tide and low tide; Class C buoys are used to determine whether the pollution source enters the target bay due to high tide;

[0046] S2. The sensor group configured on the buoy assembly collects water quality indicators, including dissolved oxygen, pH value, heavy metal content, pesticide residue content, and microbial flora content, compares each indicator with the corresponding standard value, and outputs the comparison result;

[0047] S3, receiving the comparison result, when any indicator exceeds the standard within a high tide and low tide period T in the target bay, the corresponding buoy sends out a warning signal and outputs warning information;

[0048] S4. Receive and analyze early warning information and obtain pollution analysis results;

[0049] S5. Receive warning information and trigger the type focus determination mechanism. According to the determination result, the number of buoys that send out warning signals is collected synchronously, and a comprehensive evaluation formula is established to calculate the pollution level assessment value of the target bay within the period T.

[0050] S6. According to the size of the pollution level assessment value, retrieve the number of buoys that send out warning signals, build an estimated calculation formula, generate an estimated value for governance dispatch, and dispatch a corresponding number of governance-related staff to the current target bay based on the estimated value for governance dispatch; retrieve the pollution level assessment value corresponding to each period T in the historical time period S, and use the trend analysis method to determine the overall trend of the pollution level assessment value; under the condition that the overall trend is a downward trend, use the anomaly detection algorithm to identify fluctuation anomalies, and count the number of fluctuation anomalies, and implement the strategy of increasing personnel.

[0051] (III) Beneficial effects

[0052] The present invention provides an evaluation system and method for analyzing the degree of marine pollution based on buoys, which has the following beneficial effects:

[0053] (1) This scheme achieves comprehensive coverage and accurate detection of the target bay through the scientific layout of three types of buoys, A, B, and C. Type A buoys focus on nearshore areas, Type B buoys cover deep water areas, and Type C buoys monitor water confluences. This layout ensures that changes in seawater quality can be effectively captured regardless of high or low tides. The uniform distribution of buoys and the design of just enough coverage avoid waste of resources while ensuring the comprehensiveness and accuracy of detection data.

[0054] (2) Through real-time, comprehensive water quality monitoring and intelligent early warning, this plan can timely detect and deal with water quality problems, effectively prevent and control bay pollution; at the same time, this plan also provides important technical support and data support for marine environmental protection, fishery resource management and human health protection, and provides a strong guarantee for the protection and sustainable development of the bay environment;

[0055] (3) This scheme triggers the type focus judgment mechanism according to the attributes of the target bay (such as marine fishery area, human living area, etc.), and focuses on different water quality indicators; by constructing a targeted comprehensive assessment formula, combined with multiple dimensions such as the amount of excess and the duration of excess, the pollution degree assessment value is calculated. Different from the traditional single comprehensive assessment method, it realizes targeted quantitative assessment of the pollution degree according to the attributes of different bays, thereby improving the accuracy of the assessment results;

[0056] (4) This solution builds an estimated calculation formula based on the pollution level assessment value to generate a governance dispatch estimate value, which provides a scientific basis for dispatching governance personnel. Through trend analysis and anomaly detection algorithms, it can identify the changing trend and fluctuation anomaly points of the pollution level, providing data support for the dynamic adjustment of governance strategies. When fluctuation anomalies are detected, the correction factor is adjusted by correcting the calculation formula, and then the governance dispatch estimate value is adjusted, thereby achieving the optimal allocation of governance resources.

[0057] In summary, with the help of this technical solution, real-time monitoring, intelligent early warning, accurate assessment and dynamic management of the target bay water quality can be achieved; by giving priority to dispatching personnel to marked locations, dynamically adjusting the estimated value of management dispatch and other measures, the targetedness and efficiency of management work are improved; at the same time, this technical solution also helps to timely detect and deal with water quality problems, effectively prevent and control bay pollution, protect the marine ecosystem, and promote sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A real-life picture of the arrangement of buoy assemblies in a target bay in the present invention;

[0059] Figure 2 It is a schematic diagram of modular operation of the evaluation system in the present invention;

[0060] Figure 3Schematic diagram of the overall process of the evaluation method in the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Example 1

[0063] See also Figure 1 to Figure 2 This embodiment provides an evaluation system for analyzing the degree of marine pollution based on buoys. The system is targeted at the bay. Considering the high tide and low tide in the bay, the system can complete the evaluation and analysis of the degree of seawater pollution in the target bay within a cycle of high tide and low tide. The corresponding number of buoys needs to be arranged according to the actual area of ​​the target bay to ensure the comprehensive detection of the target bay, which is convenient for the subsequent analysis and evaluation work, and can also provide guidance for the final formulation of response strategies or measures.

[0064] The assessment system includes functional modules that run in sequence, including: buoy deployment module, determination and collection module, early warning and reporting module, pollution analysis module, pollution assessment module and analysis and governance module;

[0065] Among them, buoy deployment module:

[0066] deploying a buoy assembly in a selected target bay, the buoy assembly comprising a plurality of buoys;

[0067] Class A buoys are deployed in the nearshore area of ​​the target bay to detect seawater at high tide;

[0068] Class B buoys are deployed in deep water areas of target bays to detect seawater at high and low tides;

[0069] Class C buoys are placed at the confluence of water currents in the target bay to determine whether pollution sources enter the target bay due to high tide;

[0070] from Figure 1 It can be seen that the A and B buoys are evenly distributed. The detection range of several A buoys completely covers the nearshore area, and the detection range of several B buoys completely covers the deep water area. They are just enough to avoid the deployment of redundant buoys. Therefore, the detection range of A, B and C buoys completely covers the target bay. And the sensor groups equipped by A, B and C buoys are the same.

[0071] Specifically, through the scientific layout of three types of buoys, A, B, and C, comprehensive coverage and precise detection of the target bay are achieved. Class A buoys focus on nearshore areas, Class B buoys cover deep water areas, and Class C buoys monitor the confluence of water flows. This layout ensures that changes in seawater quality can be effectively captured regardless of high tide or low tide. The uniform distribution of buoys and the design of just enough coverage avoid waste of resources while ensuring the comprehensiveness and accuracy of detection data.

[0072] Determination acquisition module:

[0073] The sensor group configured on the buoy component is used to collect water quality indicators in real time, including dissolved oxygen, pH value, heavy metal content, pesticide residue content and microbial flora content, and compare each indicator with the corresponding standard value and output the comparison result;

[0074] The configured sensor group includes but is not limited to high-precision water quality sensors and electrochemical biosensors;

[0075] Heavy metal content includes lead, mercury and cadmium in the corresponding water bodies;

[0076] Pesticide residue content indicates the residual content of organochlorine pesticides or organophosphorus pesticides in the corresponding water body;

[0077] The content of microbial flora indicates the corresponding content of Escherichia coli in the corresponding water body;

[0078] It should be noted that the standard value corresponding to dissolved oxygen is usually set within a range that can support the survival of marine life, such as 5-8 mg / L or higher, depending on the depth, temperature, salinity and other factors of the bay. For a typical bay, the standard value of dissolved oxygen is set at 6-8 mg / L to ensure sufficient oxygen supply to marine life; the standard value corresponding to the pH value is usually set within a neutral or slightly alkaline range, such as 7.0-8.5, to maintain the physiological balance of marine life. For the bay water quality in this embodiment, the standard value corresponding to the pH value is set at 7.5-8.2, which is suitable for the survival of most marine life; the standard value corresponding to the heavy metal content is usually set according to toxicological research and environmental protection needs to ensure that the heavy metal concentration will not cause harm to marine life and human health, corresponding to the bay For marine areas, the standard value is set at a few micrograms per liter (μg / L) to tens of micrograms per liter, specifically 0-20μg / L, to cover the toxicity of various heavy metals. For other types of sea areas, it may depend on the specific situation. The standard value corresponding to the pesticide residue content is usually set based on the toxicity, environmental persistence and ecological risk of the pesticide to ensure that the pesticide residue does not cause direct or indirect harm to marine life. For commonly used pesticides such as DDT in this bay, the standard value is set at a few nanograms per liter (ng / L) to tens of nanograms per liter, specifically 0-30ng / L. The standard value corresponding to the microbial flora content is usually set according to the type, quantity and ecological impact of the microorganisms to ensure that the microbial flora does not damage the bay ecosystem or pose a threat to human health. For the common Escherichia coli (Escherichia coli) and other indicator microorganisms, the standard value may be set as a certain number of colony forming units (CFU) per 100 ml of water sample, such as 100 CFU / 100 mL, to indicate whether the water quality is suitable for swimming or fishing activities, so the corresponding standard value is 0-100 CFU / 100 mL;

[0079] The comparison result is: whether each water quality index exceeds the corresponding standard value;

[0080] Specifically, high-precision water quality sensors and electrochemical biosensors are used to collect key water quality indicators such as dissolved oxygen, pH value, heavy metal content, pesticide residue content and microbial flora content in real time; by comparing with the preset standard values, the module can quickly determine whether the water quality exceeds the standard and output the comparison results, providing timely and accurate data support for subsequent early warning and governance.

[0081] Early warning report module:

[0082] Receive the comparison results. When any indicator exceeds the standard within a high tide and low tide cycle T in the target bay, the corresponding buoy sends out a warning signal and outputs warning information, including the corresponding exceeded indicator (type), exceeded degree, exceeded duration and the established detection area of ​​the corresponding buoy; when no indicator exceeds the standard, the corresponding buoy does not respond;

[0083] Among them, any index exceeding the standard means that any water quality index exceeds the corresponding standard value;

[0084] The situation where the corresponding buoy issues a warning signal is explained by taking an example. For example, if three adjacent Class A buoys detect that any water quality index exceeds the corresponding standard value, a warning signal is issued, and the corresponding exceeded index, exceeded degree, exceeded duration, and the established detection area of ​​the corresponding buoy are wirelessly transmitted to the pollution analysis module to facilitate subsequent analysis operations;

[0085] The following are some examples to help explain:

[0086] Corresponding excessive indicators: dissolved oxygen, pH value;

[0087] Exceeding the standard: dissolved oxygen exceeds the corresponding standard value by 3 mg / L, and pH value exceeds the corresponding standard value by 2.2;

[0088] Exceeding duration: After any buoy detects that the dissolved oxygen exceeds the standard, the longest duration is selected as the exceeding duration;

[0089] The established detection area of ​​the corresponding buoy: With the corresponding buoy as the center, the detection range, for example: a circular area with a diameter of 30 meters is the established detection area.

[0090] After receiving the output of the judgment and acquisition module, it can intelligently analyze the data and immediately issue a warning signal when any indicator exceeds the standard; the warning information includes the exceeded indicator, the degree of exceeding the standard, the duration of exceeding the standard and the established detection area of ​​the corresponding buoy. Such a detailed report helps to quickly locate the source of pollution and provides strong support for subsequent governance work. When transmitting the warning information, it can also be quickly conveyed to relevant departments and personnel through wireless transmission technology, realizing rapid response and effective governance;

[0091] In summary, the application of this technical solution has significantly improved the intelligence and refinement of the bay's water quality management. Through real-time, comprehensive water quality monitoring and intelligent early warning, it can promptly detect and deal with water quality problems, and effectively prevent and control bay pollution. At the same time, the solution also provides important technical support and data support for marine environmental protection, fishery resource management and human health protection, providing strong guarantees for the protection and sustainable development of the bay environment.

[0092] Pollution analysis module:

[0093] Receive and analyze early warning information and obtain pollution analysis results;

[0094] The process of analyzing early warning information is as follows:

[0095] At the first high tide, if the Class C buoy sends out an early warning signal, it means that the pollution source has entered the target bay from the open sea, and the position of the Class C buoy is marked; within the period T of high tide and low tide, the corresponding buoys that send out early warning signals are obtained in chronological order, and the corresponding buoys are connected to obtain the diffusion path and distribution of the pollution source, and displayed synchronously on the remote interface;

[0096] At the first high tide, if the Class C buoy does not send out a warning signal, it means that the pollution source is not entering the target bay from the open sea. If any Class A buoy sends out a warning signal, it means that the pollution source enters from the coast, and the position of the corresponding Class A buoy is marked to facilitate the subsequent priority dispatch work. Since the entry path of the pollution source is only the intersection or the coast, whether the Class B buoy sends out a warning signal is not considered;

[0097] Specifically, by receiving and analyzing warning information, the warning signal of Class C buoy determines whether the pollution source enters from the open sea, and the warning signal of Class A buoy determines whether the pollution source enters from the coast, and marks the corresponding buoy position; combined with the time sequence and buoy position, the diffusion path and distribution of the pollution source can be accurately mapped, providing precise spatial information for rapid response and governance.

[0098] Pollution Assessment Module:

[0099] Receive warning information and trigger the type-focused judgment mechanism. Based on the judgment results, synchronously collect the number of buoys that send warning signals and establish a comprehensive evaluation formula to calculate the pollution level assessment value of the target bay within a high tide and low tide cycle T;

[0100] Among them, the trigger type focuses on the determination mechanism:

[0101] A rule engine is pre-built. When the target bay is found to be a marine fishery area, the water quality indicators that are focused on are dissolved oxygen, pH value, and heavy metal content; when the target bay is found to be a human living area, the water quality indicators that are focused on are pesticide residue content and microbial colony content; when the target bay is found to be neither a marine fishery area nor a human living area, there is no water quality indicator that is focused on;

[0102] The water quality indicators that are of particular concern are the determination results;

[0103] If the judgment result is:

[0104] The water quality indicators that are of particular concern are dissolved oxygen, pH value, and heavy metal content. The comprehensive evaluation formula established is as follows:

[0105]

[0106] Where Pav represents the pollution level assessment value, Respectively represent the excess of dissolved oxygen, pH value, and heavy metal content. Respectively represent the duration of excessive levels of dissolved oxygen, pH value, and heavy metal content. They represent the standard values ​​of dissolved oxygen, pH value, and heavy metal content respectively. B represents the number of buoys that issue warning signals. They represent the excess of pesticide residues and microbial flora, respectively. Respectively represent the duration of pesticide residues and microbial flora exceeding the standard. They represent the standard values ​​corresponding to the pesticide residue content and microbial flora content respectively;

[0107] If the judgment result is:

[0108] The water quality indicators that focus on are pesticide residue content and microbial colony content, and the comprehensive evaluation formula established is as follows:

[0109]

[0110] In the formula, the meaning of the parameters is the same as in the previous formula, and 0.1 indicates a smaller weight for other parameters;

[0111] If the judgment result is:

[0112] If there is no water quality indicator to focus on, the comprehensive evaluation formula is as follows:

[0113]

[0114] In the formula, the meaning of the parameters is the same as in the previous formula;

[0115] The logic and reasons for the formula design are as follows:

[0116] When designing a comprehensive water quality assessment formula, we need to consider the degree of each water quality indicator exceeding the standard (i.e., the amount of the corresponding indicator exceeding the standard), the duration of the exceeding standard, and the number of buoys that issued warning signals. We can use a multi-indicator comprehensive assessment method to combine the impact of each indicator through mathematical operations;

[0117] Focus on dissolved oxygen, pH value and heavy metal content:

[0118] These indicators are crucial to the protection of fishery resources. For example, dissolved oxygen refers to the amount of oxygen dissolved in water, which is an important indicator for assessing the survival of organisms. pH is an important indicator for measuring the acidity and alkalinity of water, which has an important impact on the survival and reproduction of marine organisms. In the formula, we can add up the product of the excess of these three indicators and the duration of the excess, and consider the impact of the number of buoys. At the same time, in order to reflect the impact of other parameters, the product of the excess of pesticide residues and microbial colony content and the duration of the excess can be added to the formula with a smaller weight.

[0119] Focus on pesticide residues and microbial colony content:

[0120] Pesticide residues and microbial colony content are important indicators of organic and biological pollution in water quality, which are closely related to human health and quality of life. For example, if the residues of organochlorine pesticides or organophosphorus pesticides detected in seawater exceed the standard, it may indicate that the water body is affected by human domestic agricultural sewage discharge or improper use of pesticides. In the formula, the product of the excess of these two indicators and the duration of the excess is accumulated, and the influence of the number of buoys is considered. At the same time, in order to reflect the influence of other parameters, the product of the excess of dissolved oxygen, pH value and heavy metal content and the duration of the excess can be added to the formula with a smaller weight.

[0121] Water quality indicators that are not focused on:

[0122] In this case, we need to consider all given water quality indicators comprehensively; in the formula, the product of the excess amount of all indicators and the duration of excess is accumulated, and the influence of the number of buoys is considered to comprehensively evaluate the water quality status;

[0123] Specifically, according to the attributes of the target bay (such as marine fishery areas, human living areas, etc.), the type focus judgment mechanism is triggered to focus on different water quality indicators; by constructing a targeted comprehensive assessment formula, combined with multiple dimensions such as the amount of exceeding the standard and the duration of exceeding the standard, the pollution degree assessment value is calculated. Different from the traditional single comprehensive assessment method, this solution realizes targeted quantitative assessment of the pollution degree in response to the attributes of different bays, thereby improving the accuracy of the assessment results.

[0124] Analysis and governance module:

[0125] According to the pollution assessment value, the number of buoys that issued warning signals is retrieved, and an estimated calculation formula is built to generate an estimated value for governance dispatch. According to the estimated value for governance dispatch, a corresponding number of governance-related staff are dispatched to the current target bay to complete the investigation or governance work in a timely manner. The pollution analysis results are retrieved simultaneously. When it is determined that there is a marked location, personnel are dispatched to the marked location first;

[0126] Then, the pollution level assessment values ​​corresponding to each period T in the historical time period S are retrieved, and the overall trend of the pollution level assessment values ​​is determined using the trend analysis method;

[0127] Under the condition that the overall trend is downward, anomaly detection algorithm is used to identify fluctuation anomalies and count the number of fluctuation anomalies. The more the number, the more pollution sources have not been identified or handled more completely when the corresponding number of governance-related staff were dispatched to the target bay. It is necessary to implement a strategy of sending more staff and revise the previously generated governance dispatch estimate to meet the demand.

[0128] If the overall trend is not decreasing, an alarm will be issued and a team of experts will be organized to investigate;

[0129] It should be noted that the early warning signal and the alarm have different forms of expression. For example, the early warning signal is in the form of sound and light, while the alarm is in the form of SMS notification. It only needs to be in a different form.

[0130] Among them, the calculation formula for building the estimate is as follows:

[0131]

[0132] In the formula, E represents the estimated value of governance dispatch, B represents the number of buoys that issue warning signals, Indicates the preset maximum number of buoys, that is, the total number of buoy components (used to standardize the impact of the number of buoys), ln represents the natural logarithm, sin represents the sine function, which is used to introduce periodic changes, C represents the correction coefficient, and the initial correction coefficient C is 1;

[0133] The design logic of the above formula is as follows:

[0134] Impact of pollution assessment value: Pav reflects the square effect of pollution level, which means that the more serious the pollution, the faster the demand for treatment increases; Used to smooth the impact of the number of buoys to avoid large fluctuations in the estimated value due to a small increase in the number of buoys; Impact of the number of buoys: Sine function The introduction of periodic changes in the number of buoys reflects the different impacts of the number of buoys on governance demand at different levels. When the number of buoys increases, the sine function will fluctuate within a cycle, thus affecting the governance dispatch estimate. The +1 is needed in front, and the 1 here is used as a baseline value to ensure that even if there is no pollution (Pav= 0) and no buoy issues an early warning (B= 0), the adjustment factor will not be zero, which means that even in the mildest case, certain governance actions are required; Pav is divided by 10 to adjust the pollution level to a suitable range so that it can be multiplied by the result of the sine function. The purpose of this is to make the impact of the pollution level smoother and avoid large fluctuations in the value due to slight changes in the pollution level; Comprehensive impact: The two parts in the formula are multiplied together, comprehensively considering the impact of the pollution level and the number of buoys on the governance needs; By adjusting the parameters and functions in the formula, it is possible to achieve fine adjustment of the governance dispatch estimate;

[0135] Suppose we have the following data:

[0136] Pollution assessment value = 7, number of buoys issuing warning signals = 15, maximum number of buoys preset = 30;

[0137] Substituting these values ​​into the formula, we can calculate the governance dispatch estimate:

[0138] ;

[0139] ;

[0140] ;

[0141] Therefore, based on the current pollution assessment and the number of buoys that have issued warning signals, we estimate that approximately 22 governance workers will need to be dispatched to deal with the pollution in the target bay. This formula can generate an estimated governance dispatch value by comprehensively considering the impact of pollution level and the number of buoys to more reasonably reflect governance needs;

[0142] Using trend analysis methods:

[0143] Use trend analysis methods to observe the changing trend of pollution assessment values ​​over time. This is achieved by drawing a time series graph, where the horizontal axis represents the time period T, S={T, 2T, ..., nT}, n is a positive integer, and the vertical axis represents the pollution assessment value. By observing the graph, it can be determined whether the pollution level is generally on a downward trend. In actual governance, the pollution assessment value will inevitably decrease with each governance, so the overall trend is usually a downward trend.

[0144] The anomaly detection algorithm identifies fluctuation anomalies:

[0145] Use anomaly detection algorithms in machine learning, including Isolation Forest and Local Outlier Factor (LOF), to identify sudden high fluctuations (i.e., outliers). These algorithms can automatically learn the distribution of data and identify outliers that are significantly different from most data points;

[0146] After detecting sudden high fluctuations by the above method, the number of these fluctuations can be counted;

[0147] The strategic process of implementing additional personnel is as follows:

[0148] According to the number of abnormal fluctuation points in the historical time period S, a correction calculation formula is constructed to generate a corrected second correction factor, which is applied to the estimated calculation formula. The difference between the generated governance dispatch estimate and the initial governance dispatch estimate is used as the number of additional personnel.

[0149] Among them, the constructed correction calculation formula is:

[0150]

[0151] In the formula, represents the second correction factor, which is obtained after the correction factor C is corrected. It indicates the number of abnormal fluctuation points in the historical time period S. It should be noted that * and Both mean multiplication;

[0152] The above design logic is as follows:

[0153] Use the Isolation Forest or LOF algorithm to detect anomalies in time series data and identify outliers that are significantly different from most data points. These outliers represent sudden high fluctuations. Within a given time window (e.g., a historical time period S), count the number of times the outliers are identified, recorded as ; According to the number of outliers and the length of the historical time period S, calculate the second correction factor , this second correction factor along with increases with the increase of represents a limiting factor to ensure that the second correction factor is not too large; in summary, when the number of outliers increases, the corrected The value will also increase accordingly, but the speed of increase will be limited by the length of the historical time period;

[0154] Suppose we have a time series dataset and use the Isolation Forest algorithm for anomaly detection and detect anomalies in a historical time period S=30 (e.g., the past 30 days). =5 outliers;

[0155] Substituting these values ​​into the formula:

[0156] ;

[0157] ;

[0158] ;

[0159] Therefore, the corrected The value is about 1.16. Replace the original correction coefficient C=1 with 1.16 to calculate another estimated value of governance dispatch. Calculate the difference between the other estimated value of governance dispatch and the initial estimated value of governance dispatch. The difference is the number of additional personnel required.

[0160] Specifically, according to the pollution level assessment value, an estimated calculation formula is built to generate a governance dispatch estimate value, which provides a scientific basis for dispatching governance personnel. Through trend analysis and anomaly detection algorithms, the changing trend and fluctuation anomaly points of pollution levels can be identified, providing data support for the dynamic adjustment of governance strategies. When fluctuation anomalies are detected, the correction factor is adjusted by correcting the calculation formula, and then the governance dispatch estimate value is adjusted, realizing the optimal allocation of governance resources.

[0161] In summary, with the help of this technical solution, it is possible to achieve real-time monitoring, intelligent early warning, accurate assessment and dynamic management of the water quality of the target bay; by giving priority to dispatching personnel to the marked locations and dynamically adjusting the estimated value of the management dispatch, the pertinence and efficiency of the management work are improved; at the same time, this technical solution also helps to timely discover and deal with water quality problems, effectively prevent and control bay pollution, protect the marine ecosystem, and promote sustainable development;

[0162] This technical solution provides comprehensive, accurate and timely water quality monitoring and pollution assessment data, which helps to make more scientific and reasonable governance decisions. It enhances the visualization and intuitiveness of decision-making by visually displaying information such as the diffusion path, distribution and pollution level assessment values ​​of pollution sources.

[0163] Example 2

[0164] See also Figure 3 Based on Example 1, this embodiment also provides an evaluation method for analyzing the degree of marine pollution based on buoys, comprising the following steps:

[0165] S1. Deploy a buoy assembly in the selected target bay, which includes several buoys; Class A buoys are used to detect seawater at high tide; Class B buoys are used to detect seawater at high tide and low tide; Class C buoys are used to determine whether the pollution source enters the target bay due to high tide;

[0166] S2. The sensor group configured on the buoy assembly collects water quality indicators, including dissolved oxygen, pH value, heavy metal content, pesticide residue content, and microbial flora content, compares each indicator with the corresponding standard value, and outputs the comparison result;

[0167] S3, receiving the comparison result, when any indicator exceeds the standard within a high tide and low tide period T in the target bay, the corresponding buoy sends out a warning signal and outputs warning information;

[0168] S4. Receive and analyze early warning information and obtain pollution analysis results;

[0169] S5. Receive warning information and trigger the type focus determination mechanism. According to the determination result, the number of buoys that send out warning signals is collected synchronously, and a comprehensive evaluation formula is established to calculate the pollution level assessment value of the target bay within the period T.

[0170] S6. According to the size of the pollution level assessment value, retrieve the number of buoys that send out warning signals, build an estimated calculation formula, generate an estimated value for governance dispatch, and dispatch a corresponding number of governance-related staff to the current target bay based on the estimated value for governance dispatch; retrieve the pollution level assessment value corresponding to each period T in the historical time period S, and use the trend analysis method to determine the overall trend of the pollution level assessment value; under the condition that the overall trend is a downward trend, use the anomaly detection algorithm to identify fluctuation anomalies, and count the number of fluctuation anomalies, and implement the strategy of increasing personnel.

[0171] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0172] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0173] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0174] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A buoy-based marine pollution degree analysis assessment system, characterized in that: The system includes: The buoy deployment module deploys a buoy assembly in the selected target bay. The buoy assembly includes several buoys. Class A buoys are used to detect seawater at high tide; Class B buoys are used to detect seawater at high tide and low tide; Class C buoys are used to determine whether the pollution source enters the target bay due to high tide; The sensor group configured on the buoy component collects water quality indicators, including dissolved oxygen, pH value, heavy metal content, pesticide residue content, and microbial flora content, compares each indicator with the corresponding standard value, and outputs the comparison result; The early warning reporting module receives the comparison results. When any indicator exceeds the standard within a high tide and low tide period T in the target bay, the corresponding buoy sends out an early warning signal and outputs the early warning information. The pollution analysis module receives and analyzes the warning information and obtains the pollution analysis results; The pollution assessment module receives warning information and triggers the type focus determination mechanism. Based on the determination results, it simultaneously collects the number of buoys that send out warning signals, establishes a comprehensive assessment formula, and calculates the pollution level assessment value of the target bay within the period T. The analysis and governance module retrieves the number of buoys that send out warning signals according to the size of the pollution level assessment value, builds an estimated calculation formula, generates an estimated governance dispatch value, and dispatches a corresponding number of governance-related staff to the current target bay based on the estimated governance dispatch value; retrieves the pollution level assessment value corresponding to each period T in the historical time period S, and uses the trend analysis method to determine the overall trend of the pollution level assessment value; under the condition that the overall trend is a downward trend, uses the anomaly detection algorithm to identify fluctuation anomalies, and counts the number of fluctuation anomalies, and implements the strategy of increasing personnel.

2. The buoy-based marine pollution degree analysis evaluation system according to claim 1 is characterized by: Class A and Class B buoys are evenly distributed. The detection range of several Class A buoys completely covers the nearshore area, the detection range of several Class B buoys completely covers the deep water area, and Class C buoys are arranged at the intersection of water currents in the target bay.

3. The buoy-based marine pollution degree analysis evaluation system according to claim 1 is characterized by: The early warning information includes the corresponding exceeding standard index, the exceeding standard degree, the exceeding standard duration and the established detection area of ​​the corresponding buoy; among which, the exceeding standard degree indicates the value of the corresponding exceeding standard index exceeding the corresponding standard value.

4. The buoy-based marine pollution degree analysis assessment system according to claim 2 is characterized by: The process of analyzing early warning information is as follows: At the first high tide, if the Class C buoy sends out a warning signal, mark the position of the Class C buoy; In a high tide and low tide cycle T, the corresponding buoys that send out warning signals are obtained in chronological order, and the corresponding buoys are connected to obtain the diffusion path and distribution of the pollution source, and displayed synchronously on the remote interface; At the first high tide, if any Class A buoy sends out a warning signal, the position of the corresponding Class A buoy will be marked.

5. The buoy-based marine pollution degree analysis evaluation system according to claim 1 is characterized by: The trigger type focuses on the determination mechanism: A rule engine is pre-built. When the target bay is found to be a marine fishery area, the water quality indicators that are focused on are dissolved oxygen, pH value and heavy metal content; when the target bay is found to be a human living area, the water quality indicators that are focused on are pesticide residue content and microbial colony content; when the target bay is found to be neither a marine fishery area nor a human living area, there is no water quality indicator that is focused on.

6. The buoy-based marine pollution degree analysis assessment system according to claim 5 is characterized by: If the judgment result is: the water quality indicators that are of particular concern are dissolved oxygen, pH value and heavy metal content; The comprehensive evaluation formula established is as follows: ； Where Pav represents the pollution level assessment value, Respectively represent the excess of dissolved oxygen, pH value, and heavy metal content. Respectively represent the duration of excessive levels of dissolved oxygen, pH value, and heavy metal content. They represent the standard values ​​of dissolved oxygen, pH value, and heavy metal content respectively. B represents the number of buoys that issue warning signals. They represent the excess of pesticide residues and microbial flora, respectively. Respectively represent the duration of pesticide residues and microbial flora exceeding the standard. They represent the standard values ​​corresponding to the pesticide residue content and microbial flora content respectively; If the judgment result is: the water quality indicators that are of particular concern are the pesticide residue content and the microbial colony content; The comprehensive evaluation formula established is as follows: ； If the judgment result is: there is no water quality indicator that is of particular concern; The comprehensive evaluation formula established is as follows: 。 7. The buoy-based marine pollution degree analysis assessment system according to claim 4 is characterized by: After dispatching a corresponding number of governance-related staff to the current target bay based on the estimated value of the governance dispatch, the pollution analysis results are retrieved simultaneously. When it is determined that there is a marked location, personnel are dispatched to the marked location first.

8. The buoy-based marine pollution degree analysis evaluation system according to claim 6 is characterized by: The calculation formula for building the estimate is as follows: ； In the formula, E represents the estimated value of governance dispatch, It represents the preset maximum number of buoys, ln represents the natural logarithm, sin represents the sine function, which is used to introduce periodic changes, C represents the correction coefficient, and the initial correction coefficient C is 1.

9. The buoy-based marine pollution degree analysis assessment system according to claim 8, characterized in that: Anomaly detection algorithms include either Isolation Forest or LOF; The strategic process of implementing additional personnel is as follows: According to the number of abnormal fluctuation points in the historical time period S, a correction calculation formula is constructed to generate a corrected second correction factor, which is applied to the estimated calculation formula. The difference between the generated governance dispatch estimate and the initial governance dispatch estimate is used as the number of additional personnel. Among them, the constructed correction calculation formula is: ； In the formula, represents the second correction factor, which is obtained after the correction factor C is corrected. Indicates the number of abnormal fluctuation points that appear in the historical time period S.

10. A method for evaluating the degree of marine pollution based on buoys, using any system described in claims 1 to 9, characterized in that: The steps include: S1. Deploy a buoy assembly in the selected target bay, which includes several buoys; Class A buoys are used to detect seawater at high tide; Class B buoys are used to detect seawater at high tide and low tide; Class C buoys are used to determine whether the pollution source enters the target bay due to high tide; S2. The sensor group configured on the buoy assembly collects water quality indicators, including dissolved oxygen, pH value, heavy metal content, pesticide residue content, and microbial flora content, compares each indicator with the corresponding standard value, and outputs the comparison result; S3, receiving the comparison result, when any indicator exceeds the standard within a high tide and low tide period T in the target bay, the corresponding buoy sends out a warning signal and outputs warning information; S4, receiving and analyzing early warning information to obtain pollution analysis results; S5. Receive warning information and trigger the type focus determination mechanism. According to the determination result, the number of buoys that send out warning signals is collected synchronously, and a comprehensive evaluation formula is established to calculate the pollution level assessment value of the target bay within the period T. S6. According to the size of the pollution level assessment value, retrieve the number of buoys that send out warning signals, build an estimated calculation formula, generate an estimated value for governance dispatch, and dispatch a corresponding number of governance-related staff to the current target bay based on the estimated value for governance dispatch; retrieve the pollution level assessment value corresponding to each period T in the historical time period S, and use the trend analysis method to determine the overall trend of the pollution level assessment value; under the condition that the overall trend is a downward trend, use the anomaly detection algorithm to identify fluctuation anomalies, and count the number of fluctuation anomalies, and implement the strategy of increasing personnel.

Images