A shallow sea environment intelligent monitoring system and method using multiple buoys

Abstract

The present invention discloses a shallow sea environment intelligent monitoring system and method using multiple buoys, and relates to the technical field of marine environment monitoring. The monitoring system comprises: an equipment combination module, a response area division module, a regional change tracking module, a regional correction module, and a regional detection module. The technical key points are: dividing the buoy into a number of gradient intervals based on the distance between the buoy and its nearest coast, and then analyzing the movement direction and movement speed of the detection object according to the change of the concentration of the detection object within the same gradient interval or in different gradient intervals over time, so as to predict the diffusion position of the detection object in advance, provide a basis for the capture of aquatic products or the management of the environment, and adapt to the variability of the marine environment; and then based on the historical diffusion trend of the detection object with the same or similar concentration retrieved from the database, the diffusion trend of the detection object is corrected, thereby ensuring the accuracy of the diffusion trend analysis of the detection object.

Description

Technical Field

[0001] The present invention relates to the technical field of marine environment monitoring, and in particular to a shallow sea environment intelligent monitoring system and method using multiple buoys. Background Art

[0002] The intensity of marine environmental monitoring directly affects the degree and effectiveness of marine resource development and marine environmental protection. Therefore, in marine environmental monitoring, in order to accurately and reliably obtain various parameters of the marine environment, it is necessary to use monitoring buoys to conduct continuous fixed-point monitoring of the marine environment around the clock.

[0003] At present, the Chinese patent with the existing patent application number "CN202111604524.8" discloses a data acquisition system for marine monitoring equipment, including a sensor monitoring system, a remote sensing monitoring system and a data sharing monitoring system. The data collected by the system include ocean station observation data, cross-sectional survey data, pollution monitoring data, buoy data, marine ship data, and support ship observation data, and are transmitted to the terminal server through a wireless communication module; the terminal server has a central database stored inside. Although the marine environment is monitored by the sensor monitoring system, the remote sensing monitoring system and the data sharing monitoring system respectively, the monitoring capability of the marine environment is enhanced to a certain extent, it is impossible to effectively use the acquired data to feedback other information required by the user, so there are very large limitations.

[0004] In addition, a Chinese patent with an existing patent application number of "CN202110021763.4" discloses a buoy water quality online monitoring system, which relates to the field of water ecological monitoring. The method includes a buoy monitoring base station mounted on a buoy body. The buoy monitoring base station includes a control unit and a base station management server connected to the control unit, a power supply unit, a water quality analyzer unit and a data acquisition instrument. The water quality analyzer unit is connected to the power supply unit and the data acquisition instrument respectively, and the power switch of the water quality analyzer unit is independently controlled by the control unit to save system energy consumption; the water quality analyzer unit is used to collect and analyze the pH, dissolved oxygen, redox potential, chlorophyll a and turbidity of the water sample; the base station management server is used as the management core of the buoy monitoring base station to set parameters of the instrument. The online monitoring system can obtain the water ecological environment status index in real time and achieve stable and reliable operation through the power supply unit. Its detection of marine seawater is already very accurate, but in addition to being able to feedback water quality problems, it cannot obtain other effective information, such as the flow of various nutrients or pollutants in seawater, resulting in the information cannot be effectively utilized.

[0005] However, during the implementation of the above technical solution, it was found that there were at least the following technical problems:

[0006] The detected marine environmental parameter information cannot be effectively utilized; when the existing marine environmental monitoring systems or methods are used, they are mainly aimed at how to improve the accuracy of the monitoring results and the stability of the marine ecological environment, but they ignore the fundamental purpose of monitoring, which is to assist people in living a better life. The reason for detecting the marine environment is to avoid the pollution of seawater, which makes the ocean unusable or affects people's living environment. The most obvious one is the fishing industry and aquaculture industry that live by the sea. Due to the existence of tides, undercurrents and other phenomena in the ocean, and the different ecological environment near the coast, it is not as stable as inland lakes, and the distribution of various substances inside it is uneven. Therefore, the organisms that feed on or nourish these substances will also be unevenly distributed. For example, areas with more fishery resources in the ocean usually have abundant fish bait, that is, a large number of plankton, including phytoplankton and zooplankton, and zooplankton feeds on phytoplankton. In other words, where there are more phytoplankton in the ocean, fishery resources are usually richer; and the existing marine environmental monitoring methods and systems can only understand the material content of seawater in a certain period of time, and cannot adapt to the dynamic changes of materials. Summary of the invention

[0007] 1. Technical issues to be resolved

[0008] In view of the deficiencies in the prior art, the present invention provides a shallow sea environment intelligent monitoring system and method using multiple buoys, which solves the problems raised in the background technology.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0011] An intelligent monitoring system for shallow sea environment using multiple buoys, the monitoring system comprising:

[0012] The equipment joint module sends a call instruction to the buoy in the shallow sea area and obtains the detection information sent by the buoy. The environmental stability index of the area where the buoy is located is analyzed based on the obtained detection information and the water quality assessment value of the area where the buoy is located, and the acquisition frequency of the buoy data is generated by the environmental stability index of the area where the buoy is located. The detection information includes coordinates, product model, concentration of each detection object and environmental parameters of the area;

[0013] The response area division module establishes a horizontal plane coordinate system, compares the density of the detected object with the seawater concentration in the called area, and when the density of the detected object is ≤ the seawater density, a surface detection instruction is issued to execute the surface detection object area division strategy; otherwise, an underwater detection instruction is issued to execute the underwater detection object area division strategy;

[0014] The regional change tracking module divides the buoy into several gradient intervals based on the distance between the buoy and the nearest coast after the detection area is divided. The distribution curve of the detection object concentration in the same gradient interval and the concentration change curve per unit time are generated in the horizontal plane coordinate system to analyze the diffusion trend of the detection object.

[0015] The regional correction module uses the historical diffusion trend of the detected object with the same or similar concentration as the historical diffusion trend from the database to correct the diffusion trend of the detected object;

[0016] The regional detection module issues a risk warning when the water quality assessment value of the area where the buoy is located is not within the preset risk assessment threshold range, divides the data call area, obtains the environmental stability index of all buoy detections in the data call area and the density of the detection objects, and generates the impact value of a single detection object on the environment of the data call area. When the impact value exceeds the preset environmental tolerance upper limit, an environmental restoration warning is issued, the corresponding environmental restoration strategy is retrieved from the database, and the environmental restoration points are analyzed.

[0017] Furthermore, the specific analysis process of the environmental stability index of the area where the buoy is located is as follows:

[0018] G1. Obtain the concentration of each test object in the area where the buoy is located, recorded as , and retrieve the preset suitable concentration range of each test object from the database, where the suitable concentration range includes the suitable upper limit and the suitable lower limit, which are respectively recorded as , ;

[0019] G2. Compare the concentration of the test substance with its corresponding suitable concentration range. > Detection substance concentration >Suitable lower limit of concentration When When the concentration of the test substance ≥ Suitable upper limit of concentration When the concentration of the detected substance is ; When the concentration is suitable for the lower limit ≥Detection substance concentration When the concentration of the detected substance is ;

[0020] G3. By analyzing the formula Get the water quality assessment value of the area where the buoy is located , where represents the xth standard concentration, , Respectively represent standard concentration The corresponding upper and lower limits of concentration are suitable, and L represents the standard concentration. The total number of represents the y-th upper offset concentration, Indicates the upper offset concentration The corresponding concentration is suitable for the upper limit, and D represents the upper offset concentration. The total number of represents the zth down-shift concentration, Indicates the lower offset concentration The corresponding concentration is suitable for the lower limit, and E represents the lower offset concentration. The total number of , Respectively express the weights of the preset standard concentration deviation ratio and the offset concentration deviation ratio;

[0021] G4. Similarly, according to the analysis method of the water quality assessment value of the area where the buoy is located, the assessment value of the meteorological parameters in the area where the buoy is located is obtained, which is recorded as , where environmental parameters include temperature, humidity, air pressure, wind force, and sea surface amplitude;

[0022] G5. Obtain the buoy data collection time interval and record it as ;

[0023] By analyzing the formula Get the environmental stability index of the area where the buoy is located , where Represents the correction factor of the preset environmental stability index, , They represent the weights of the preset water quality assessment value and meteorological parameter assessment value, respectively. ,and , , Indicates the error impact factor corresponding to the preset unit detection time. = buoy rated detection interval, The value is 1, and e represents a natural constant.

[0024] Furthermore, the adjustment process of the data acquisition frequency is as follows:

[0025] Set the number of buoy detection information to be retrieved and the adjustment ratio, which are denoted as n, ;

[0026] The environmental stability index of the previous n buoy detections is retrieved from the database, and the maximum value, minimum value and the environmental stability index of the two most recent acquisitions are obtained, which are recorded as , , , ;

[0027] when and When , the analytical formula Get the adjusted buoy detection time interval , where Indicates the current buoy detection time interval. ≤ buoy rated detection interval; when or When the buoy detection information is obtained, the buoy rated detection interval time is used.

[0028] Furthermore, the specific process of executing the water surface detection object area division strategy is as follows:

[0029] The standard response concentration and the minimum response concentration corresponding to the type of the test object are retrieved, and the standard response concentration is greater than the minimum response concentration. When the concentration of the test object collected by the buoy exceeds the standard response concentration, a concentration warning of the test object is issued; otherwise, no response is given.

[0030] When receiving a warning of the concentration of the detected object, the buoy that issued the warning will be marked as a first-level response buoy, and the buoys adjacent to the first-level response buoy will be immediately started to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoys and compare it with the minimum response concentration. When the concentration of the detected object is ≥ the minimum response concentration, the buoy will be marked as a second-level response buoy, and the buoys adjacent to the second-level response buoy will be started to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoys of the second-level response buoy, and the buoys that have responded will not be counted in the adjacent buoy acquisition range, and so on, until the concentration of the detected object is less than the minimum response concentration or there is no unresponsive buoy near the responded buoy;

[0031] The area enclosed by all the responded buoys is used as the surface detection object division area.

[0032] Furthermore, the specific process of executing the underwater detection object area division strategy is as follows:

[0033] Retrieve the minimum response concentration corresponding to the type of detection object; when the concentration of the detection object collected by the buoy exceeds the minimum response concentration, a detection object concentration warning is issued, and all buoys are triggered to detect at the same time, and the buoys whose detected concentration exceeds the minimum response concentration are marked as responding buoys; otherwise, they are recorded as unresponsive buoys;

[0034] The area enclosed by all the responded buoys is used as the underwater detection object division area.

[0035] Furthermore, the diffusion trend of the detected object is divided into diffusion speed and diffusion direction. The specific analysis process of the diffusion trend of the detected object is as follows:

[0036] The buoy screening gradient interval is set as [0, D), [D, 2D), [2D, 3D), ..., [kD-D, kD);

[0037] The concentration of the detected object of each buoy in the same gradient is obtained, and the buoys are numbered. The number of each buoy is used as the X-axis, and the concentration of the detected object detected by each buoy is used as the Y-axis. The distribution diagram of the detected object in the same gradient interval is generated, and the average concentration of the detected object in the same gradient interval is calculated, which is recorded as ;

[0038] Obtain the concentration value of a buoy detection in the same gradient interval, and record the unit time interval of data acquisition, with the detection unit time interval as the X-axis and the concentration of the detected object detected by the same buoy in unit time as the Y-axis, and generate a curve chart of the change of the detected object in unit time, where the concentration change value of the detected object in unit time is recorded as , and the concentration change values ​​of the detected objects obtained by all the responded buoy detections Compare and obtain the buoy coordinates corresponding to the maximum change value of the detected substance concentration, recorded as ;

[0039] By analyzing the formula Get the diffusion rate of the test object The moving angle of the detected object relative to the previous position , where represents the average concentration of the detected substance in the nth gradient interval, represents the average concentration of the detected substance in the n-1th gradient interval, represents the standard diffusion rate of the test substance, Indicates the buoy detection time interval, , They represent the buoy coordinates corresponding to the maximum concentration change of the monitored substance between two adjacent detection time intervals. Indicates wind speed, represents the angle between the wind and the sea level, , They respectively represent the influence coefficients of the preset diffusion speed of the detection object and the wind speed.

[0040] Furthermore, the formula for correcting the diffusion trend of the detected object is as follows:

[0041] ;

[0042] In the formula, represents the corrected diffusion rate, It represents the diffusion rate of the same or similar concentration detected in the database for the i-th time. Indicates the total number of test objects with the same or similar concentration extracted from the database. Indicates the correction ratio of the preset detection object diffusion concentration, represents the corrected moving deflection angle, It represents the moving deflection angle of the i-th detection object with the same or similar concentration in the database, Indicates the correction ratio of the preset detection object movement angle;

[0043] The corrected diffusion trend is compared with the actual diffusion trend of the detected object. When the deviation between the corrected diffusion trend and the actual diffusion trend of the detected object exceeds the preset deviation threshold, a correction ratio increase instruction is issued, and the diffusion trend of the detected object is increased according to the preset adjustment ratio; otherwise, a correction ratio decrease instruction is issued, and the diffusion trend of the detected object is decreased according to the preset correction ratio.

[0044] Furthermore, the risk assessment threshold interval includes the risk threshold upper limit and the lower risk threshold When the water quality assessment value is greater than the upper limit of the risk threshold or the water quality assessment value is less than the lower limit of the risk threshold, a risk warning is issued and the data call area is divided; otherwise, no response is made; the specific process of dividing the data call area is as follows:

[0045] By analyzing Get data call distance , where Indicates the preset initial buoy acquisition distance. Indicates the current water quality assessment value of the area where the buoy is located. represents the correction factor of the preset data call radius, and e represents a natural constant;

[0046] The buoy that issues the risk warning is the center of the circle, and the data call distance The area with a radius of is the data call area, and the environmental stability index and density of the detected objects detected by all buoys in the data call area are obtained, and the impact values ​​of different detected objects on the environment of the data call area are calculated respectively. , the formula is as follows:

[0047]

[0048] In the formula, represents the environmental stability index of the jth buoy in the data call area, Indicates the total number of buoys in the data call area. It indicates the average environmental stability index in the data call area before the risk warning is triggered. Indicates the concentration of the current test substance. Represents the concentration of the pre-detection substance The corresponding upper and lower limits of concentration are: They respectively represent the weights of the preset environmental stability index and concentration deviation ratio.

[0049] Furthermore, the specific process of the environmental restoration point analysis is as follows:

[0050] Retrieve the buoy at the edge of the detection area and obtain the concentration change value of the detection object per unit time and the average change in the concentration of the test substance , where Indicates the change value of the concentration of the detected object in the zth unit time. The average change in the concentration of the test substance For comparison, when , then it will be The corresponding buoy is marked as the base buoy, and the coordinates of the base buoy are obtained, recorded as ( , Otherwise, no response;

[0051] By analyzing the formula Get the coordinates of the environmental repair point ( , ), where Indicates the preset repair time.

[0052] Furthermore, a method for intelligent monitoring of shallow sea environment using multiple buoys comprises the following steps:

[0053] Send a call command to the buoy in the shallow sea area, and obtain the detection information sent by the buoy, analyze the environmental stability index of the area where the buoy is located based on the obtained detection information and the water quality assessment value of the area where the buoy is located, and generate the acquisition frequency of the buoy data from the environmental stability index of the area where the buoy is located, where the detection information includes coordinates, product model, concentration of each detection object and environmental parameters of the area;

[0054] Establish a horizontal plane coordinate system, compare the density of the detected object with the seawater concentration in the called area, and when the density of the detected object is ≤ the seawater density, issue a surface detection command and execute the surface detection object area division strategy; otherwise, issue an underwater detection command and execute the underwater detection object area division strategy;

[0055] After the detection area is divided, the buoy is divided into several gradient intervals based on the distance between the buoy and its nearest coast. The distribution curve of the detection object concentration in the same gradient interval and the concentration change curve per unit time are generated in the established horizontal plane coordinate system to analyze the diffusion trend of the detection object;

[0056] The diffusion trend of the detected object is corrected based on the historical diffusion trend of the detected object with the same or similar concentration retrieved from the database;

[0057] When the water quality assessment value of the area where the buoy is located is not within the preset risk assessment threshold range, a risk warning is issued, and the data call area is divided to obtain the environmental stability index and density of the detection objects of all buoy detections in the data call area, and generate the impact value of a single detection object on the environment of the data call area. When the impact value exceeds the preset environmental tolerance upper limit, an environmental restoration warning is issued, the corresponding environmental restoration strategy is retrieved from the database, and the environmental restoration points are analyzed.

[0058] (III) Beneficial effects

[0059] The present invention provides a shallow sea environment intelligent monitoring system and method using multiple buoys, which has the following beneficial effects:

[0060] The buoy is used as a sampling device to obtain the concentration of various test objects in the water quality, so as to analyze the influence of the concentration of each test object on the overall water quality, thereby generating a water quality assessment value that can feedback the water quality environment in the area where the buoy is located, so as to understand the water quality in the shallow sea, and also provide a reference basis for subsequent detection. In addition, the present invention determines the influence of the test object on the water quality by obtaining the relationship between the concentration of the test object and the preset suitable concentration range. Therefore, it is only necessary to set the corresponding parameters as needed to incorporate the test object to be detected into the water quality analysis method, so it has very good compatibility; secondly, the meteorological parameter assessment value of the area where the buoy is located is obtained through the analysis method of the water quality assessment value, and then the two are combined with the data collection time interval, so that the environmental stability of the area where the buoy is located during the time interval can be obtained, so as to facilitate daily environmental monitoring of the shallow sea, and the present invention can also adjust the detection frequency of the buoy according to the changes in the environmental stability index to meet the detection needs while reducing unnecessary losses.

[0061] By comparing the density of the detected object with that of seawater, the corresponding regional division strategy is selected to facilitate detection according to the characteristics of the detected object, thereby making up for the limitation that the buoy can only detect the surface of seawater and improving the accuracy of regional division. Moreover, when dividing the water surface area, an interlocking response method is adopted to quickly obtain the distribution area of ​​the detected object without fully opening it, thereby improving the detection accuracy and reducing unnecessary equipment loss. In addition, through regional division, the distribution of each detected object can be intuitively understood, so that the best capture area can be selected according to the life characteristics of the organisms, providing a reference basis for the fishing industry. For example, when catching fish, since the growth of fish depends on plankton, and plankton requires trace elements such as nitrogen, phosphorus, and silicon, it is only necessary to obtain the superposition of the distribution areas of these detected objects to obtain areas suitable for fish survival. At the same time, pollutants can be analyzed and divided into regions as detected objects to understand the distribution of pollutants, providing a basis for subsequent governance and adjustment.

[0062] The buoy is divided into several gradient intervals based on the distance between the buoy and the nearest coast. Then, the movement direction and speed of the test object are analyzed according to the change of the test object concentration over time within the same gradient interval or in different gradient intervals, so as to predict the diffusion position of the test object in advance, provide a basis for the capture of aquatic products or environmental management, and thus adapt to the variability of the marine environment; then, based on the historical diffusion trend of the test object with the same or similar concentration retrieved from the database, the diffusion trend of the test object is corrected, thereby ensuring the accuracy of the diffusion trend analysis of the test object.

[0063] Utilizing the relationship between the water quality assessment value and the risk assessment threshold range, a part of the area is divided out as the data call area. By obtaining the environmental stability index and the density of the detected object detected by the buoy in the area, the impact of the detected object on the environment after complete diffusion is estimated, so that the corresponding environmental restoration strategy can be retrieved from the database in time to avoid irreversible risks. In addition, the optimal restoration point is determined based on the corrected diffusion trend of the detected object and the current movement position of the detected object, so as to provide a reference for subsequent environmental restoration. At the same time, it can also improve the accuracy of environmental restoration and avoid environmental pollution or waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is the overall flow chart of the present invention;

[0065] Figure 2 is a distribution diagram of the detected object in the present invention;

[0066] Figure 3 This is a graph showing changes in the concentration of the test substance in the present invention. DETAILED DESCRIPTION

[0067] 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.

[0068] An analysis of the existing marine environment monitoring methods shows that they are mainly aimed at improving the accuracy of the detection results and the stability of the marine ecological environment, but they ignore the fundamental purpose of monitoring, which is to help people live a better life. The reason for monitoring the marine environment is to prevent the seawater from being polluted, resulting in the ocean being unusable or affecting people's living environment. The most obvious of these is the fishing industry and aquaculture industry that rely on the sea. Due to the existence of tides, undercurrents and other phenomena in the ocean, and the different ecological environment near the coast, it is not as stable as inland lakes, and the distribution of various substances inside it is uneven. Therefore, organisms that feed on or nourish these substances will also be unevenly distributed.

[0069] For example, areas with more fishery resources in the ocean usually have abundant fish bait, that is, a large amount of plankton, including phytoplankton and zooplankton, and zooplankton feeds on phytoplankton. In other words, where there are more phytoplankton in the ocean, fishery resources are usually more abundant. However, the existing marine environment monitoring methods and systems can only understand the material content of seawater in a certain period of time, and cannot adapt to the dynamic changes of materials, so the detected data cannot be effectively used. In order to make full use of these data, we use the existing buoy detection data to study the information it can bring.

[0070] 1. Water quality analysis

[0071] In order to obtain water quality information, it is necessary to collect water quality data, and the most common detection equipment on the sea surface is the buoy, so we use the buoy as the basis. Use the communication base station to communicate with all available buoys in the shallow sea area, retrieve the coordinates of the buoy, product model, which substances can be detected, and the concentration of each test object (common parameters include monitoring seawater temperature, pH value, dissolved oxygen, turbidity, salinity, ammonia nitrogen content, etc.).

[0072] Since the relationships between the acquired substances are complex and difficult to use, it is impossible to evaluate the water quality through the relationship between the substances. Therefore, it can only be analyzed in a separate setting. After testing, it is found that it is only necessary to set the appropriate concentration range for the concentration of various test objects, and use the appropriate concentration range to judge the role of each test object in the environment. There is no need to consider the relationship between the various parameters, and it can be freely expanded as needed. For example, the original water quality calculation formula is obtained by analyzing nitrogen, phosphorus, and potassium. The detection equipment is subsequently upgraded to enable it to detect oxygen content. The original calculation formula is no longer applicable. With this method, you only need to enter the additional test object and the corresponding concentration range of the test object into the system. The specific calculation process is as follows:

[0073] 11. Water quality assessment value

[0074] First, obtain the concentration of each detected object in the area where the buoy is located, recorded as ( represents the concentration of the i-th test object), and retrieves the preset suitable concentration range of the corresponding test object from the database, where the suitable concentration range includes the suitable upper limit and the suitable lower limit, which are respectively recorded as , , thus providing a basis for judging the concentration change of the detected object;

[0075] By comparing the concentration of the test substance with its corresponding suitable concentration range, when the suitable upper limit of the concentration > Detection substance concentration >Suitable lower limit of concentration When ;

[0076] When the concentration of the test substance ≥ Suitable upper limit of concentration When the concentration of the detected substance is ;

[0077] When the lower limit of concentration ≥ Detection substance concentration When the concentration of the detected substance is , so that the concentration of each detected substance , divided into standard concentration , upper offset concentration and the lower offset concentration Calculate the water quality assessment value of the area where the buoy is located based on the comparison results. , where water quality assessment value The calculation formula is as follows:

[0078]

[0079] In the formula, represents the xth standard concentration, , Respectively represent standard concentration The corresponding upper and lower limits of concentration are suitable, and L represents the standard concentration. The total number of represents the y-th upper offset concentration, Indicates the upper offset concentration The corresponding concentration is suitable for the upper limit, and D represents the upper offset concentration. The total number of represents the zth down-shift concentration, Indicates the lower offset concentration The corresponding concentration is suitable for the lower limit, and E represents the lower offset concentration. The total number of , The weights of the preset standard concentration deviation ratio and the offset concentration deviation ratio are respectively expressed.

[0080] Taking the salinity of seawater as an example, the suitable upper limit of seawater salinity is 37 grams of salt per kilogram of ocean water, and the suitable lower limit of salinity is 34 grams of salt per kilogram of ocean water. When the standard salinity detected is 35 grams of salt per kilogram of ocean water, the concentration is the standard concentration; when the standard salinity detected is 38 grams of salt per kilogram of ocean water, the concentration is greater than the suitable upper limit of salinity, and the concentration is the upper offset concentration; when the standard salinity detected is 33 grams of salt per kilogram of ocean water, the concentration is less than the suitable lower limit of salinity, and the concentration is the lower offset concentration.

[0081] 12. Meteorological assessment value

[0082] Similarly, according to the analysis method of the water quality assessment value of the area where the buoy is located, the assessment value of the meteorological parameters in the area where the buoy is located is obtained, which is recorded as , where environmental parameters include temperature, humidity, air pressure, wind force and sea surface amplitude. Temperature, humidity, air pressure, wind force and sea surface amplitude are all taken as an environmental factor, and then divided into upper offset factor, standard factor and lower offset factor. Then they are substituted into the water quality evaluation value analysis formula to obtain the evaluation value of the meteorological parameters in the area where the buoy is located. .

[0083] 13. Environmental stability index

[0084] The above method can make full use of all environmental data detected by the buoy. Since the marine environment is constantly changing, the environmental data obtained is also time-sensitive. Therefore, when analyzing environmental stability, it is necessary to consider the time interval for obtaining environmental data and collecting buoy data. Environmental stability index of the area where the buoy is located The formula used is as follows:

[0085]

[0086] In the formula, Represents the correction factor of the preset environmental stability index, , They represent the weights of the preset water quality assessment value and meteorological parameter assessment value, respectively. ,and , , represents the error influence factor corresponding to the preset unit detection time, e represents the natural constant, when = buoy rated detection interval, The value is 1, because the buoy data collection time interval The upper limit has been reached and cannot be shortened any further, so the time interval obtained at this time Environmental stability index The impact is constant and need not be considered.

[0087] 14. Adjust the detection frequency

[0088] In order to meet the needs of detection and respond in a timely manner, the buoy data acquisition frequency needs to be adjusted as follows:

[0089] S101, set the number of buoy detection information to be retrieved and the adjustment ratio, which are denoted as n, ;

[0090] S102, retrieve the environmental stability index of the previous n buoy detections from the database, obtain the maximum value, the minimum value and the environmental stability index of the two most recent acquisitions, and record them as , , , ;

[0091] S103, when and When , the analytical formula Get the adjusted buoy detection time interval , where Indicates the current buoy detection time interval. ≤ buoy rated detection interval; when or When the buoy detection information is obtained, the buoy rated detection interval time is used.

[0092] 2. Divide the distribution area of ​​the test objects

[0093] Due to the different densities of substances in seawater, their distribution areas will also be different, and they are affected differently by the external environment. Therefore, when dividing the area, it is necessary to consider the concentration of the detected object. First, a horizontal plane coordinate system is established, with the location of the communication base station as the coordinate origin, the north direction of the communication base station as the Y axis, and the east direction as the X axis. Then, the density of the detected object is compared with the seawater concentration in the called area.

[0094] When the density of the detected object is less than or equal to the density of seawater, a surface detection command is issued to execute the surface detection object area division strategy. Since the density of the detected object is less than the density of seawater, the detected object will float on the sea surface under the action of buoyancy, so the coordinates detected by the buoy can directly image the actual position of the detected object. Therefore, the adjacent buoys can be started by transmission. When the detected buoy does not respond, it will not continue to be transmitted downward, thereby avoiding the activation of unnecessary buoys and improving resource utilization and data acquisition accuracy.

[0095] 21. Water surface detection area division strategy

[0096] The standard response concentration and the minimum response concentration corresponding to the type of the test object are retrieved, and the standard response concentration is greater than the minimum response concentration. When the concentration of the test object collected by the buoy exceeds the standard response concentration, a concentration warning of the test object is issued; otherwise, no response is given.

[0097] When a warning of the concentration of the detected object is received, the buoy that issued the warning will be marked as a first-level response buoy, and the buoys adjacent to the first-level response buoy will be started immediately to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoy and compare it with the minimum response concentration. When the concentration of the detected object is ≥ the minimum response concentration, the buoy will be marked as a second-level response buoy, and the buoys adjacent to the second-level response buoy will be started to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoy. The buoys that have responded are not counted in the adjacent buoy acquisition range, and so on, until the concentration of the detected object is < the minimum response concentration or there are no unresponsive buoys near the responded buoy; therefore, the area surrounded by all responded buoys is the water surface detection object division area.

[0098] When the density of the detected object is greater than the density of seawater, an underwater detection instruction is issued, an underwater area division strategy is issued, and the underwater detected object area division strategy is executed. Since the density of the detected object is greater than that of seawater, it will be deposited on the seabed under the action of gravity, and the buoy floats on the surface of the seawater. Therefore, the substance cannot be detected under normal conditions. It can only be detected when undercurrents or shaking occur underwater, so an alarm will be issued once detected.

[0099] 22. Underwater detection area division strategy

[0100] Retrieve the minimum response concentration corresponding to the type of detection object; when the concentration of the detection object collected by the buoy exceeds the minimum response concentration, a detection object concentration warning is issued, and all buoys are triggered to conduct detection at the same time, and the buoys whose detected concentration exceeds the minimum response concentration are marked as responding buoys; otherwise, they are recorded as unresponsive buoys; the area surrounded by all responded buoys is used as the underwater detection object division area.

[0101] 3. Regional change tracking

[0102] After dividing the area where the detection object is located on the water surface, the buoy is divided into several gradient intervals based on the distance between the buoy and its nearest coast. The buoy screening gradient intervals are recorded as [0, D), [D, 2D), [2D, 3D), ..., [kD-D, kD).

[0103] 31. Detection object distribution map

[0104] The concentration of the detected object of each buoy in the same gradient is retrieved, and the buoys are numbered, buoy one, buoy two, ... Then, the number of each buoy is used as the X-axis, and the concentration of the detected object detected by each buoy is used as the Y-axis to generate a distribution diagram of the detected object in the same gradient interval, and the average concentration of the detected object in the same gradient interval is calculated, which is recorded as .

[0105] 32. Concentration change diagram

[0106] Obtain the concentration value of a buoy detection in the same gradient interval, and record the unit time interval of data acquisition, with the detection unit time interval as the X-axis and the concentration of the detected object detected by the same buoy in unit time as the Y-axis, and generate a curve chart of the change of the detected object in unit time, where the concentration change value of the detected object in unit time is recorded as , and the concentration change values ​​of the detected objects obtained by all the responded buoy detections Compare and obtain the buoy coordinates corresponding to the maximum change value of the detected substance concentration, recorded as .

[0107] 33. Diffusion trend of detected objects

[0108] The diffusion trend of the detected object is calculated by using the obtained distribution curve of the detected object concentration in the same gradient interval and the concentration change curve per unit time. The diffusion trend of the detected object is divided into diffusion speed and diffusion direction. The specific analysis process of the diffusion trend of the detected object is as follows:

[0109]

[0110] In the formula, represents the diffusion rate of the detected substance, Indicates the moving angle of the detected object relative to the previous position. represents the average concentration of the detected substance in the nth gradient interval, represents the average concentration of the detected substance in the n-1th gradient interval, represents the standard diffusion rate of the test substance, Indicates the buoy detection time interval, , They represent the buoy coordinates corresponding to the maximum concentration change of the monitored substance between two adjacent detection time intervals. Indicates wind speed, represents the angle between the wind and the sea level, , They respectively represent the influence coefficients of the preset diffusion speed of the detection object and the wind speed.

[0111] 4. Parameter correction

[0112] In order to ensure the accuracy of the diffusion trend of the detected object, the historical diffusion trend of the detected object with the same or similar concentration is retrieved from the database as a basis, and the diffusion trend of the detected object is corrected. The formula based on the correction is as follows:

[0113]

[0114] In the formula, represents the corrected diffusion rate, It represents the diffusion rate of the same or similar concentration detected in the database for the i-th time. Indicates the total number of test objects with the same or similar concentration extracted from the database. Indicates the correction ratio of the preset detection object diffusion concentration, represents the corrected moving deflection angle, It represents the moving deflection angle of the i-th detection object with the same or similar concentration in the database, Indicates the correction ratio of the preset detection object movement angle;

[0115] The corrected diffusion trend is compared with the actual diffusion trend of the detected object. When the deviation between the corrected diffusion trend and the actual diffusion trend of the detected object exceeds the preset deviation threshold, a correction ratio increase instruction is issued, and the diffusion trend of the detected object is increased according to the preset adjustment ratio; otherwise, a correction ratio decrease instruction is issued, and the diffusion trend of the detected object is decreased according to the preset correction ratio.

[0116] 5. Area Detection

[0117] 51. Risk Monitoring

[0118] During daily monitoring, the water quality assessment value in the area where the buoy is located is obtained at regular intervals, and then the comparison between the water quality assessment value and the preset risk assessment threshold interval is used to determine whether there is a risk in the current marine environment. The risk assessment threshold interval includes the upper limit of the risk threshold. and the lower risk threshold When the water quality assessment value is greater than the upper limit of the risk threshold or the water quality assessment value is less than the lower limit of the risk threshold, a risk warning is issued and the data call area is divided; otherwise, no response is made.

[0119] 52. Environmental impact value

[0120] When a risk warning is received, the data call area division strategy is activated, with the buoy that issued the risk warning as the center and the data call distance as the center. The area with a radius of is the data call area, and the environmental stability index and density of the detected objects detected by all buoys in the data call area are obtained. Among them, the data call distance The formula used is as follows:

[0121]

[0122] In the formula, Indicates the preset initial buoy acquisition distance. Indicates the current water quality assessment value of the area where the buoy is located. It represents the correction factor of the preset data call radius, and e represents a natural constant.

[0123] Calculate the impact of different test objects on the environment of the data call area , the formula is as follows:

[0124]

[0125] In the formula, represents the environmental stability index of the jth buoy in the data call area, Indicates the total number of buoys in the data call area. It indicates the average environmental stability index in the data call area before the risk warning is triggered. Indicates the concentration of the current test substance. , Represents the concentration of the pre-detection substance The corresponding upper and lower limits of concentration are: , They respectively represent the weights of the preset environmental stability index and concentration deviation ratio.

[0126] By comparing whether the impact value exceeds the preset upper limit of environmental tolerance, we can understand whether the detected object will have a very large impact on the environment. When the impact value does not exceed the preset upper limit of environmental tolerance, no human intervention is required, and the marine environment can adjust itself. Otherwise, an environmental restoration warning is issued, and the corresponding environmental restoration strategy is retrieved from the database for human intervention.

[0127] 53. Repair points

[0128] Since both seawater and test objects are constantly moving, and the reagents, microorganisms, and water changes used to repair the ocean will have a certain impact on the ocean, if the marine environment needs to be repaired in a timely manner, it is necessary to predict the repair points in advance to avoid further deterioration of the marine environment due to improper placement, so the best repair points need to be selected. The specific process of environmental repair point analysis is as follows:

[0129] Retrieve the buoy at the edge of the detection area and obtain the concentration change value of the detection object per unit time and the average change in the concentration of the test substance , where B represents the total number of buoys that detect the object. Indicates the concentration change value of the detected object per unit time of the zth buoy. The average change in the concentration of the test substance For comparison, when , then it will be The corresponding buoy is marked as the base buoy, and the coordinates of the base buoy are obtained, recorded as ( , Otherwise, no response;

[0130]

[0131] In the formula, ( , ) represents the coordinates of the environmental restoration point, Indicates the preset repair time.

[0132] The weight coefficient is determined by the coefficient of variation method, which is a method of weighting each indicator according to the degree of variation between the current value of each evaluation indicator and the target value. If the numerical difference of an indicator is large, it can clearly distinguish the evaluated objects, indicating that the indicator has rich discrimination information, and thus the indicator should be given a larger weight. On the contrary, if the numerical difference of each evaluated object on a certain indicator is small, then the ability of this indicator to distinguish the evaluation objects is weak, and thus the indicator should be given a smaller weight. This method directly uses the information contained in each indicator to obtain the weight of the indicator through calculation, so it is objective.

[0133] Embodiment 2:

[0134] Based on Example 1, this embodiment also provides a method for intelligent monitoring of shallow sea environment using multiple floats, including the following specific steps:

[0135] Send a call command to the buoy in the shallow sea area, and obtain the detection information sent by the buoy, analyze the environmental stability index of the area where the buoy is located based on the obtained detection information and the water quality assessment value of the area where the buoy is located, and generate the acquisition frequency of the buoy data from the environmental stability index of the area where the buoy is located, where the detection information includes coordinates, product model, concentration of each detection object and environmental parameters of the area;

[0136] Establish a horizontal plane coordinate system, compare the density of the detected object with the seawater concentration in the called area, and when the density of the detected object is ≤ the seawater density, issue a surface detection command and execute the surface detection object area division strategy; otherwise, issue an underwater detection command and execute the underwater detection object area division strategy;

[0137] After the detection area is divided, the buoy is divided into several gradient intervals based on the distance between the buoy and its nearest coast. The distribution curve of the detection object concentration in the same gradient interval and the concentration change curve per unit time are generated in the established horizontal plane coordinate system to analyze the diffusion trend of the detection object;

[0138] The diffusion trend of the detected object is corrected based on the historical diffusion trend of the detected object with the same or similar concentration retrieved from the database;

[0139] When the water quality assessment value of the area where the buoy is located is not within the preset risk assessment threshold range, a risk warning is issued, and the data call area is divided to obtain the environmental stability index and density of the detection objects of all buoy detections in the data call area, and generate the impact value of a single detection object on the environment of the data call area. When the impact value exceeds the preset environmental tolerance upper limit, an environmental restoration warning is issued, the corresponding environmental restoration strategy is retrieved from the database, and the environmental restoration points are analyzed.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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. An intelligent monitoring system for shallow sea environment using multiple buoys, characterized in that: The monitoring system includes: The equipment joint module sends a call instruction to the buoy in the shallow sea area and obtains the detection information sent by the buoy. The environmental stability index of the area where the buoy is located is analyzed based on the obtained detection information and the water quality assessment value of the area where the buoy is located, and the acquisition frequency of the buoy data is generated by the environmental stability index of the area where the buoy is located. The detection information includes coordinates, product model, concentration of each detection object and environmental parameters of the area; The response area division module establishes a horizontal plane coordinate system, compares the density of the detected object with the seawater concentration in the called area, and when the density of the detected object is ≤ the seawater density, a surface detection instruction is issued to execute the surface detection object area division strategy; otherwise, an underwater detection instruction is issued to execute the underwater detection object area division strategy; The regional change tracking module divides the buoy into several gradient intervals based on the distance between the buoy and the nearest coast after the detection area is divided. The distribution curve of the detection object concentration in the same gradient interval and the concentration change curve per unit time are generated in the horizontal plane coordinate system to analyze the diffusion trend of the detection object. The regional correction module uses the historical diffusion trend of the detected object with the same or similar concentration as the historical diffusion trend from the database to correct the diffusion trend of the detected object; The regional detection module issues a risk warning when the water quality assessment value of the area where the buoy is located is not within the preset risk assessment threshold range, divides the data call area, obtains the environmental stability index of all buoy detections in the data call area and the density of the detection object, and generates the impact value of a single detection object on the environment of the data call area. When the impact value exceeds the preset environmental tolerance upper limit, an environmental restoration warning is issued, the corresponding environmental restoration strategy is retrieved from the database, and the environmental restoration points are analyzed; The specific analysis process of the environmental stability index of the area where the buoy is located is as follows: G1. Obtain the concentration of each test object in the area where the buoy is located, recorded as , and retrieve the preset suitable concentration range of each test object from the database, where the suitable concentration range includes the suitable upper limit and the suitable lower limit, which are respectively recorded as , ; G2. Compare the concentration of the test substance with its corresponding suitable concentration range. > Detection substance concentration >Suitable lower limit of concentration When When the concentration of the test substance ≥ Suitable upper limit of concentration When the concentration of the detected substance is ; When the concentration is suitable for the lower limit ≥Detection substance concentration When ; G3. By analyzing the formula Get the water quality assessment value of the area where the buoy is located , where represents the xth standard concentration, , Respectively represent standard concentration The corresponding upper and lower limits of concentration are suitable, and L represents the standard concentration. The total number of represents the y-th upper offset concentration, Indicates the upper offset concentration The corresponding concentration is suitable for the upper limit, and D represents the upper offset concentration. The total number of represents the zth down-shift concentration, Indicates the lower offset concentration The corresponding concentration is suitable for the lower limit, and E represents the lower offset concentration. The total number of , Respectively express the weights of the preset standard concentration deviation ratio and the offset concentration deviation ratio; G4. Similarly, according to the analysis method of the water quality assessment value of the area where the buoy is located, the assessment value of the meteorological parameters in the area where the buoy is located is obtained, which is recorded as , where environmental parameters include temperature, humidity, air pressure, wind force, and sea surface amplitude; G5. Obtain the buoy data collection time interval and record it as ; By analyzing the formula Get the environmental stability index of the area where the buoy is located , where Represents the correction factor of the preset environmental stability index, , They represent the weights of the preset water quality assessment value and meteorological parameter assessment value, respectively. ,and , , Indicates the error impact factor corresponding to the preset unit detection time. = buoy rated detection interval, The value is 1, and e represents a natural constant.

2. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 1 is characterized in that: The adjustment process of the data acquisition frequency is as follows: Set the number of buoy detection information to be retrieved and the adjustment ratio, which are denoted as n, ; The environmental stability index of the previous n buoy detections is retrieved from the database, and the maximum value, minimum value and the environmental stability index of the two most recent acquisitions are obtained, which are recorded as , , , ; when and When , the analytical formula Get the adjusted buoy detection time interval , where Indicates the current buoy detection time interval. ≤ buoy rated detection interval; when or When the buoy detection information is obtained, the buoy rated detection interval time is used.

3. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 1 is characterized in that: The specific process of executing the water surface detection object area division strategy is as follows: The standard response concentration and the minimum response concentration corresponding to the type of the test object are retrieved, and the standard response concentration is greater than the minimum response concentration; when the concentration of the test object collected by the buoy exceeds the standard response concentration, an early warning of the test object concentration is issued; Otherwise, no response will be made; When receiving a warning of the concentration of the detected object, the buoy that issued the warning will be marked as a first-level response buoy, and the buoys adjacent to the first-level response buoy will be immediately started to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoys and compare it with the minimum response concentration. When the concentration of the detected object is ≥ the minimum response concentration, the buoy will be marked as a second-level response buoy, and the buoys adjacent to the second-level response buoy will be started to obtain the concentration of the corresponding detected object in the detection information of the adjacent buoys of the second-level response buoy, and the buoys that have responded will not be counted in the adjacent buoy acquisition range, and so on, until the concentration of the detected object is less than the minimum response concentration or there is no unresponsive buoy near the responded buoy; The area enclosed by all the responded buoys is used as the surface detection object division area.

4. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 1 is characterized in that: The specific process of executing the underwater detection object area division strategy is as follows: Retrieve the minimum response concentration corresponding to the type of detection object; when the concentration of the detection object collected by the buoy exceeds the minimum response concentration, a detection object concentration warning is issued, and all buoys are triggered to perform detection at the same time, and the buoys whose detected concentration exceeds the minimum response concentration are marked as response buoys; Otherwise, it is recorded as a non-responding buoy; The area enclosed by all the responded buoys is used as the underwater detection object division area.

5. The shallow sea environment intelligent monitoring system using multiple buoys as claimed in claim 2 is characterized by: The diffusion trend of the detected object is divided into diffusion speed and diffusion direction. The specific analysis process of the diffusion trend of the detected object is as follows: Set the buoy screening gradient interval, recorded as [0, D), [D, 2D), [2D, 3D), ..., [kD-D, kD); The concentration of the detected object of each buoy in the same gradient is obtained, and the buoys are numbered. The number of each buoy is used as the X-axis, and the concentration of the detected object detected by each buoy is used as the Y-axis. The distribution diagram of the detected object in the same gradient interval is generated, and the average concentration of the detected object in the same gradient interval is calculated, which is recorded as ; Obtain the concentration value of a buoy detection in the same gradient interval, and record the unit time interval of data acquisition, with the detection unit time interval as the X-axis and the concentration of the detected object detected by the same buoy in unit time as the Y-axis, and generate a curve chart of the change of the detected object in unit time, where the concentration change value of the detected object in unit time is recorded as , and the concentration change values ​​of the detected objects obtained by all the responded buoy detections Compare and obtain the buoy coordinates corresponding to the maximum change value of the detected substance concentration, recorded as ; By analyzing the formula Get the diffusion rate of the test object The moving angle of the detected object relative to the previous position , where represents the average concentration of the detected substance in the nth gradient interval, represents the average concentration of the detected substance in the n-1th gradient interval, represents the standard diffusion rate of the test substance, Indicates the buoy detection time interval, , They represent the buoy coordinates corresponding to the maximum change in concentration of the detected object between two adjacent detection intervals. Indicates wind speed, represents the angle between the wind and the sea level, , They respectively represent the influence coefficients of the preset diffusion speed of the detection object and the wind speed.

6. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 5 is characterized by: The correction of the diffusion trend of the detected object is based on the following formula: ； In the formula, represents the corrected diffusion rate, It represents the diffusion rate of the same or similar concentration detected in the database for the i-th time. Indicates the total number of test objects with the same or similar concentration extracted from the database. Indicates the correction ratio of the preset detection object diffusion concentration, represents the corrected moving deflection angle, It represents the moving deflection angle of the i-th detection object with the same or similar concentration in the database, Indicates the correction ratio of the preset detection object movement angle; The corrected diffusion trend is compared with the actual diffusion trend of the detected object. When the deviation between the corrected diffusion trend and the actual diffusion trend of the detected object exceeds a preset deviation threshold, a correction ratio increase instruction is issued, and the diffusion trend of the detected object is increased according to the preset adjustment ratio; Otherwise, a correction ratio downward adjustment instruction is issued, and the diffusion trend of the detected object is adjusted downward according to the preset correction ratio.

7. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 6 is characterized by: The risk assessment threshold interval includes the risk threshold upper limit and the lower risk threshold When the water quality assessment value is greater than the upper limit of the risk threshold or the water quality assessment value is less than the lower limit of the risk threshold, a risk warning is issued and the data call area is divided; otherwise, no response is made; the specific process of dividing the data call area is as follows: By analyzing Get data call distance , where Indicates the preset initial buoy acquisition distance. Indicates the current water quality assessment value of the area where the buoy is located. represents the correction factor of the preset data call radius, and e represents a natural constant; The buoy that issues the risk warning is the center of the circle, and the data call distance The area with a radius of is the data call area, and the environmental stability index and density of the detected objects detected by all buoys in the data call area are obtained, and the impact values ​​of different detected objects on the environment of the data call area are calculated respectively. , the formula is as follows: ； In the formula, represents the environmental stability index of the jth buoy in the data call area, Indicates the total number of buoys in the data call area. It indicates the average environmental stability index in the data call area before the risk warning is triggered. Indicates the concentration of the current test substance. , Represents the concentration of the pre-detection substance The corresponding upper and lower limits of concentration are: , They respectively represent the weights of the preset environmental stability index and concentration deviation ratio.

8. The shallow sea environment intelligent monitoring system using multiple buoys according to claim 7 is characterized by: The specific process of the environmental restoration point analysis is as follows: Retrieve the buoy at the edge of the detection area and obtain the concentration change value of the detection object per unit time and the average change in the concentration of the test substance , where Indicates the change value of the concentration of the detected object in the zth unit time. The average change in the concentration of the test substance For comparison, when , then it will be The corresponding buoy is marked as the base buoy, and the coordinates of the base buoy are obtained, recorded as ( , Otherwise, no response; By analyzing the formula Get the coordinates of the environmental repair point ( , ), where Indicates the preset repair time.

9. A method for intelligent monitoring of shallow sea environment using multiple buoys, using any system described in claims 1 to 8, characterized in that: The steps include: Send a call command to the buoy in the shallow sea area, and obtain the detection information sent by the buoy, analyze the environmental stability index of the area where the buoy is located based on the obtained detection information and the water quality assessment value of the area where the buoy is located, and generate the acquisition frequency of the buoy data from the environmental stability index of the area where the buoy is located, where the detection information includes coordinates, product model, concentration of each detection object and environmental parameters of the area; Establish a horizontal plane coordinate system, compare the density of the detected object with the seawater concentration in the called area, and when the density of the detected object is ≤ the seawater density, issue a surface detection command and execute the surface detection object area division strategy; otherwise, issue an underwater detection command and execute the underwater detection object area division strategy; After the detection area is divided, the buoy is divided into several gradient intervals based on the distance between the buoy and its nearest coast. The distribution curve of the detection object concentration in the same gradient interval and the concentration change curve per unit time are generated in the established horizontal plane coordinate system to analyze the diffusion trend of the detection object; The diffusion trend of the detected object is corrected based on the historical diffusion trend of the detected object with the same or similar concentration retrieved from the database; When the water quality assessment value of the area where the buoy is located is not within the preset risk assessment threshold range, a risk warning is issued, and the data call area is divided to obtain the environmental stability index and density of the detection objects of all buoy detections in the data call area, and generate the impact value of a single detection object on the environment of the data call area. When the impact value exceeds the preset environmental tolerance upper limit, an environmental restoration warning is issued, the corresponding environmental restoration strategy is retrieved from the database, and the environmental restoration points are analyzed.

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