Intelligent aquatic product production process management method and platform

Abstract

The invention proposes an intelligent aquatic product production process management method and platform, and relates to the technical field of aquatic product production process management, and the method comprises the steps: dividing a monitoring region, carrying out the state monitoring of water quality and aquatic products in the monitoring region, and carrying out the classification and integration of the obtained monitoring data of water quality and aquatic products. Calculating a water quality coefficient and an aquatic product coefficient of the monitored area, comparing the water quality coefficient and the aquatic product coefficient with a preset water quality threshold value and a preset aquatic product threshold value respectively, and judging a regional water quality state and a regional aquatic product state; acquiring a comprehensive aquatic product coefficient and a comprehensive water quality coefficient, comparing the comprehensive aquatic product coefficient and the comprehensive water quality coefficient with a preset water quality threshold value and a preset aquatic product threshold value respectively, judging a comprehensive water quality state and a comprehensive aquatic product state, further calculating a comprehensive production coefficient, and judging the state of comprehensive production; and setting a process monitoring node, generating an aquatic product production monitoring process, judging coefficient change data of the process monitoring node, and performing node abnormity early warning.

Description

TECHNICAL FIELD

[0001] The application provides an intelligent aquaculture production process management method and platform, and relates to the technical field of aquaculture production process management. BACKGROUND

[0002] In the field of aquaculture, water quality and aquatic conditions are key factors affecting the efficiency of cultivation and the quality of products. Traditionally, breeders mainly rely on periodic manual detection and experience judgment to assess water quality and aquatic conditions, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and early warning of the cultivation environment. Existing monitoring technologies still have some deficiencies. For example, some monitoring systems only focus on a single water quality or aquatic index, lacking a comprehensive and progressive evaluation system; some systems can monitor multiple indicators, but have limited data processing and analysis capabilities, and cannot accurately identify potential risks in a timely manner. Existing technologies are difficult to monitor and warn multiple ranges of water quality and aquatic conditions in a progressive manner. SUMMARY

[0003] The application provides an intelligent aquaculture production process management method and platform to solve the above problems:

[0004] The application provides an intelligent aquaculture production process management method and platform, and the management method comprises:

[0005] S1, dividing the monitoring area of the preset stream or river, monitoring the state of water quality and aquatic conditions in the monitoring area, classifying and integrating the obtained monitoring data of water quality and aquatic conditions, and obtaining integrated monitoring data of water quality and aquatic conditions;

[0006] S2, calculating the water quality coefficient and the aquatic coefficient of the monitoring area, comparing them with the preset water quality threshold and the preset aquatic threshold respectively, determining the regional water quality state and the regional aquatic state according to the comparison results, and obtaining determination information;

[0007] S3, obtaining the comprehensive aquatic coefficient and the comprehensive water quality coefficient, comparing them with the preset water quality threshold and the preset aquatic threshold respectively, determining the comprehensive water quality state and the comprehensive aquatic state, and then calculating the comprehensive production coefficient to determine the state of the comprehensive production;

[0008] S4, setting a process monitoring node, generating an aquaculture production monitoring process, judging the coefficient change data of the process monitoring node, and performing node abnormal warning.

[0009] Further, the S1 comprises:

[0010] Obtain the preset stream or river information, divide the monitoring area of the preset stream and the preset river according to the preset partition type, and obtain multiple monitoring areas of the preset stream or river.

[0011] monitoring water quality data of each monitoring area of the preset stream or river to obtain regional water quality monitoring data;

[0012] monitoring aquatic product data of each monitoring area of the preset stream or river to obtain regional aquatic product monitoring data;

[0013] integrating all regional water quality monitoring data of the preset stream or river to obtain water quality integrated monitoring data;

[0014] integrating all regional aquatic product monitoring data of the preset stream or river to obtain aquatic product integrated monitoring data.

[0015] Further, the S2 comprises:

[0016] calculating a water quality coefficient of each monitoring area according to the regional water quality monitoring data;

[0017] comparing the water quality coefficient of the monitoring area with a preset water quality threshold to obtain a regional water quality comparison result;

[0018] judging the state of the regional water quality according to the regional water quality comparison result to obtain regional water quality judgment information;

[0019] calculating an aquatic product coefficient of each monitoring area according to the regional aquatic product monitoring data;

[0020] comparing the aquatic product coefficient of the monitoring area with a preset aquatic product threshold to obtain a regional aquatic product comparison result;

[0021] judging the state of the regional aquatic product according to the regional aquatic product comparison result to obtain regional aquatic product judgment information.

[0022] Further, the S3 comprises:

[0023] calculating an average value of the water quality coefficients of all monitoring areas to obtain a comprehensive water quality coefficient;

[0024] comparing the comprehensive water quality coefficient with a preset water quality threshold to obtain a comprehensive water quality comparison result;

[0025] judging the state of the comprehensive water quality according to the comprehensive water quality comparison result to obtain water quality comprehensive judgment information;

[0026] calculating an average value of the aquatic product coefficients of all monitoring areas to obtain a comprehensive aquatic product coefficient;

[0027] comparing the comprehensive aquatic product coefficient with a preset aquatic product threshold to obtain a comprehensive aquatic product comparison result;

[0028] judging the state of the comprehensive aquatic product according to the comprehensive aquatic product comparison result to obtain aquatic product comprehensive judgment information;

[0029] The comprehensive production coefficient is calculated by integrating the comprehensive water quality coefficient and the comprehensive water product coefficient.

[0030] The comprehensive production coefficient is compared with a preset comprehensive production threshold to obtain a comprehensive production comparison result.

[0031] The state of the comprehensive production is determined according to the comprehensive production comparison result to obtain production comprehensive determination information.

[0032] Further, the S4 comprises:

[0033] The flow monitoring node is set by monitoring the water quality coefficient of the monitoring area, the water product coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive water product coefficient, and the comprehensive production coefficient.

[0034] The water product production monitoring flow is generated through the flow monitoring node.

[0035] The coefficient change data of each flow monitoring node of the water product production monitoring flow is obtained, and the coefficient change data is compared with a preset coefficient change threshold to obtain a change comparison result.

[0036] Each flow monitoring node of the water product production monitoring flow is abnormally warned according to the change comparison result.

[0037] Further, the management platform comprises:

[0038] The area data integration module is used for dividing the monitoring area of the preset stream or river, monitoring the state of water quality and water product of the monitoring area, classifying and integrating the obtained monitoring data of water quality and water product, and obtaining integrated monitoring data of water quality and water product.

[0039] The regional water quality and water product monitoring module is used for calculating the water quality coefficient and the water product coefficient of the monitoring area, comparing them with the preset water quality threshold and the preset water product threshold respectively, determining the regional water quality state and the regional water product state according to the comparison results respectively, and obtaining determination information.

[0040] The comprehensive water quality and water product monitoring module is used for obtaining the comprehensive water product coefficient and the comprehensive water quality coefficient, comparing them with the preset water quality threshold and the preset water product threshold respectively, determining the comprehensive water quality state and the comprehensive water product state, and further calculating the comprehensive production coefficient to determine the state of the comprehensive production.

[0041] The production flow abnormal warning module is used for setting the flow monitoring node, generating the water product production monitoring flow, judging the coefficient change data of the flow monitoring node, and performing node abnormal warning.

[0042] Further, the area data integration module comprises:

[0043] The monitoring area division module is configured to obtain preset stream or river information, divide monitoring areas of the preset stream or river according to preset division categories, and obtain a plurality of monitoring areas of the preset stream or river.

[0044] The water quality and aquatic product data monitoring module is configured to monitor water quality data of each monitoring area of the preset stream or river, and obtain regional water quality monitoring data.

[0045] The water quality and aquatic product data monitoring module is configured to monitor water quality data of each monitoring area of the preset stream or river, and obtain regional water quality monitoring data.

[0046] The water quality and aquatic product data monitoring module is configured to monitor water quality data of each monitoring area of the preset stream or river, and obtain regional water quality monitoring data.

[0047] The water quality and aquatic product data monitoring module is configured to monitor water quality data of each monitoring area of the preset stream or river, and obtain regional water quality monitoring data.

[0048] Further, the regional water quality and aquatic product monitoring module comprises:

[0049] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0050] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0051] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0052] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0053] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0054] The water quality regional calculation and analysis module is configured to calculate a water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0055] Further, the comprehensive water quality and aquatic product monitoring module comprises:

[0056] The water quality comprehensive analysis module is configured to calculate an average value of water quality coefficients of all monitoring areas, and obtain a comprehensive water quality coefficient.

[0057] The water quality comprehensive analysis module is configured to calculate an average value of water quality coefficients of all monitoring areas, and obtain a comprehensive water quality coefficient.

[0058] The water quality comprehensive analysis module is configured to calculate an average value of water quality coefficients of all monitoring areas, and obtain a comprehensive water quality coefficient.

[0059] The aquatic comprehensive analysis module is used for calculating the average value of the aquatic coefficients of all monitoring areas, obtaining a comprehensive aquatic coefficient;

[0060] The comprehensive aquatic coefficient is compared with a preset aquatic threshold value, and a comprehensive aquatic comparison result is obtained;

[0061] According to the comprehensive aquatic comparison result, the state of the comprehensive aquatic is determined, and comprehensive aquatic determination information is obtained;

[0062] The production comprehensive analysis module is used for calculating a comprehensive production coefficient by combining the comprehensive water quality coefficient with the comprehensive aquatic coefficient;

[0063] The comprehensive production coefficient is compared with a preset comprehensive production threshold value, and a comprehensive production comparison result is obtained;

[0064] According to the comprehensive production comparison result, the state of the comprehensive production is determined, and production comprehensive determination information is obtained.

[0065] Further, the production process abnormality early warning module comprises:

[0066] The monitoring process generation module is used for setting a process monitoring node by the water quality coefficient of the monitoring area, the aquatic coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive aquatic coefficient and the comprehensive production coefficient;

[0067] The aquatic production monitoring process is generated through the process monitoring node;

[0068] The change comparison early warning module is used for obtaining the coefficient change data of each process monitoring node of the aquatic production monitoring process, comparing the coefficient change data with a preset coefficient change threshold value, and obtaining a change comparison result;

[0069] According to the change comparison result, node abnormality early warning is performed on each process monitoring node of the aquatic production monitoring process.

[0070] The present application has the following advantages: through real-time monitoring and data analysis, problems in the production process can be found and solved in time, and production losses can be reduced. Resource allocation can be optimized, and the overall efficiency and sustainability of aquatic production can be improved. Real-time monitoring of water quality parameters can discover water quality changes in time, and the safety of the aquatic production environment can be ensured. Scientific basis can be provided for water quality management, and production risks caused by water quality problems can be reduced. By monitoring the aquatic state, the growth and health status of aquatic products can be understood in time, and product quality can be ensured. Data support can be provided for product traceability, and consumer confidence can be enhanced. Intelligent and automated management of aquatic production can be realized, and labor costs can be reduced. Data analysis and decision support functions can be provided, and managers can make more scientific and reasonable decisions. Through real-time monitoring, data analysis and intelligent management, the efficiency, safety and product quality of aquatic production can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 This is a schematic diagram of an intelligent aquatic production process management method. DETAILED DESCRIPTION

[0072] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0073] One embodiment of the present invention provides an intelligent aquatic production process management method and platform, the management method comprising:

[0074] S1. Divide the preset stream or river into monitoring areas, monitor the water quality and aquatic status of the monitoring areas, classify and integrate the acquired water quality and aquatic monitoring data, and obtain integrated water quality and aquatic monitoring data;

[0075] S2. Calculate the water quality coefficient and the aquatic production coefficient of the monitored area, compare them with the preset water quality threshold and the preset aquatic production threshold, respectively, and determine the regional water quality status and the regional aquatic production status based on the comparison results to obtain determination information;

[0076] S3. Obtain a comprehensive aquatic production coefficient and a comprehensive water quality coefficient, compare them with a preset water quality threshold and a preset aquatic production threshold, determine the comprehensive water quality status and the comprehensive aquatic production status, and then calculate the comprehensive production coefficient to determine the status of the comprehensive production;

[0077] S4. Set up process monitoring nodes, generate aquatic production monitoring processes, determine coefficient change data of process monitoring nodes, and issue node abnormality warnings.

[0078] The working principle of the above technical solution is as follows: the preset stream or river is divided into a plurality of monitoring areas, and each area is divided according to its geographical, ecological and production characteristics. In each monitoring area, water quality monitoring equipment (such as pH meter, dissolved oxygen sensor, temperature sensor, etc.) and aquatic state monitoring equipment (such as camera, biomass sensor, etc.) are installed to collect water quality parameters (such as pH value, dissolved oxygen content, temperature, etc.) and aquatic state parameters (such as biomass, activity state, health status, etc.) in real time. The collected data is classified and integrated to form integrated monitoring data of water quality and aquatic products. According to the integrated monitoring data, the water quality coefficient and the aquatic coefficient of each monitoring area are calculated. The calculated water quality coefficient and aquatic coefficient are compared with the preset water quality threshold and aquatic threshold respectively to determine whether the regional water quality state and regional aquatic state are in normal, warning or dangerous levels. On the basis of regional state determination, the comprehensive aquatic coefficient and the comprehensive water quality coefficient are further calculated, which reflect the comprehensive state of water quality and aquatic products of the entire stream or river. The comprehensive coefficients are compared with the preset threshold to determine the comprehensive water quality state and the comprehensive aquatic state. According to the determination result, the comprehensive production coefficient is calculated, which comprehensively reflects the overall efficiency and sustainability of aquatic production. A plurality of monitoring nodes are set in the aquatic production process, which can be key production links or potential risk points. An aquatic production monitoring process is generated, and the coefficient change data of each node is tracked in real time. When the coefficient change of a node exceeds the preset range, an abnormal warning mechanism is triggered to timely notify the management personnel to take corresponding measures.

[0079] The technical effects of the above technical solution are: through real-time monitoring and data analysis, problems in the production process are found and solved in time, and production losses are reduced. Optimize resource allocation to improve the overall efficiency and sustainability of aquatic production. Real-time monitoring of water quality parameters can detect water quality changes in time and ensure the safety of the aquatic production environment. Provide scientific basis for water quality management to reduce production risks caused by water quality problems. By monitoring the aquatic state, the growth and health status of aquatic products are understood in time to ensure product quality. Provide data support for product traceability to enhance consumer confidence. Realize the intelligent and automated management of aquatic production to reduce labor costs. Provide data analysis and decision support functions to help management personnel make more scientific and reasonable decisions. Through real-time monitoring, data analysis and intelligent management, the efficiency, safety and product quality of aquatic production are effectively improved.

[0080] In one embodiment of the present application, the S1 comprises:

[0081] Obtain preset stream or river information, divide the monitoring areas of the preset stream and the preset river according to the preset partition type, and obtain a plurality of monitoring areas of the preset stream or river;

[0082] The water quality data of each monitoring area of the preset stream or river is monitored to obtain regional water quality monitoring data.

[0083] The water quality data of each monitoring area of the preset stream or river is monitored to obtain regional water quality monitoring data.

[0084] The water quality data of each monitoring area of the preset stream or river is monitored to obtain regional water quality monitoring data.

[0085] The water quality data of each monitoring area of the preset stream or river is monitored to obtain regional water quality monitoring data.

[0086] The working principle of the above technical solution is as follows: Through geographic information system (GIS), historical data or field investigation, etc., the detailed information of the preset stream or river is obtained, including geographic location, flow direction, flow rate, width, depth, bottom material, vegetation coverage, etc. According to the preset partition type (such as geographic feature, ecological type, breeding demand, etc.), the preset stream or river is divided into multiple monitoring areas. These monitoring areas should be representative and can fully reflect the water quality and aquatic conditions of the entire stream or river. In each monitoring area, water quality monitoring equipment (such as pH meter, dissolved oxygen sensor, temperature sensor, turbidity meter, conductivity meter, etc.) is installed to monitor water quality parameters in real time. Collect and record the water quality data of each monitoring area, including pH value, dissolved oxygen content, temperature, turbidity, conductivity, etc. In each monitoring area, aquatic monitoring equipment (such as camera, biomass sensor, underwater drone, etc.) is used to monitor aquatic products. Collect and record the aquatic data of each monitoring area, including biomass, species, activity state, health status, etc. The water quality monitoring data of all monitoring areas is integrated to form water quality integrated monitoring data. This includes calculating the mean, standard deviation, maximum, minimum, etc. statistical indicators of each area, as well as drawing the spatial distribution map and time variation curve of water quality parameters. The aquatic monitoring data of all monitoring areas is integrated to form aquatic integrated monitoring data. This includes statistical indicators of biomass, species distribution, health status, etc. in each area, as well as drawing the spatial distribution map and time variation curve of aquatic state.

[0087] The technical effects of the above technical solutions are: by installing monitoring devices in multiple monitoring areas, comprehensive monitoring of the preset stream or river is achieved, ensuring the accuracy and representativeness of the data. Real-time monitoring of water quality and aquatic data can timely discover water quality changes and aquatic abnormalities. Integrating water quality and aquatic data forms comprehensive monitoring data. Through data analysis and mining, the correlation between water quality and aquatic products can be found. Based on the monitoring data and analysis results, targeted water quality management solutions and aquatic breeding strategies can be developed to improve breeding efficiency and product quality. When the monitoring data exceeds the preset threshold, a warning mechanism can be triggered to timely notify the management personnel to take measures to prevent water quality deterioration and aquatic loss. Through comprehensive and real-time monitoring of water quality and aquatic data, data integration and analysis are performed.

[0088] In one embodiment of the present application, the S2 comprises:

[0089] According to the regional water quality monitoring data, the water quality coefficient of each monitoring area is calculated;

[0090] The calculation formula of the water quality coefficient of the monitoring area is:

[0091]

[0092] wherein, SZ qy is the water quality coefficient of the monitoring area, c is the number of water quality index types of the monitoring area, ZP di is the actual collected data of the i-th type of index of the water quality of the monitoring area, ZP yi is the preset data of the i-th type of index of the water quality of the monitoring area, ZQ i is the preset weight of the i-th type of index of the water quality, ZQ j is the preset weight of the current season of the water quality, ZQ w is the preset weight of the current pollution index of the water quality;

[0093] The water quality index types include physical parameters, chemical parameters, other parameters, etc., such as temperature, turbidity, pH value, and active microorganisms, etc.

[0094] The water quality coefficient of the monitoring area is compared with the preset water quality threshold to obtain the regional water quality comparison result;

[0095] When the water quality coefficient is greater than the preset water quality threshold, it is determined that the regional water quality is abnormal, otherwise it is normal;

[0096] According to the regional water quality comparison result, the state of the regional water quality is determined to obtain the regional water quality determination information;

[0097] According to the regional aquatic monitoring data, the aquatic coefficient of each monitoring area is calculated;

[0098] The calculation formula of the water production coefficient of the monitoring area is:

[0099]

[0100] SC qy is the water production coefficient of the monitoring area, K is the number of water production index types of the monitoring area, CP dO is the actual collection data of the i-th type of index of the water production of the monitoring area, CP yO is the preset data of the i-th type of index of the water production of the monitoring area, CQ O is the preset weight of the i-th type of index of the water production, CQ j is the preset weight of the current season of the water production, CQ m is the preset weight of the current area index of the water production.

[0101] The water production index types include weight, quantity, volume, etc.

[0102] The water production coefficient of the monitoring area is compared with the preset water production threshold to obtain the area water production comparison result.

[0103] According to the area water production comparison result, the state of the area water production is determined to obtain the area water production determination information.

[0104] When the water production coefficient is greater than the preset water production threshold, it is determined that the area water production is abnormal, otherwise it is normal.

[0105] The working principle of the above technical solution is: collect water quality index data from each monitoring area, including physical parameters (such as temperature, turbidity), chemical parameters (such as pH value), and other parameters (such as active microorganisms, etc.). Calculate the water quality coefficient of each monitoring area. This formula considers the difference between the actual collection data and the preset data of each water quality index, and adjusts according to the preset weight. Compare the calculated water quality coefficient with the preset water quality threshold to determine the state of the area water quality. Collect water production index data of each monitoring area, including weight, quantity, volume, etc. Calculate the water production coefficient of each monitoring area. This formula considers the difference between the actual collection data and the preset data of each water production index, and adjusts according to the preset weight. Compare the calculated water production coefficient with the preset water production threshold to determine the state of the area water production (such as rich, general, scarce, etc.).

[0106] The technical benefits of the above-mentioned technical solution are: by collecting water quality and aquatic product data in real time, abnormal changes in water quality or aquatic products can be promptly detected, providing timely early warning information to relevant departments. The calculation of water quality coefficients and aquatic product coefficients can comprehensively consider multiple factors (such as indicator type, season, pollution index, etc.). Based on the determination of regional water quality and aquatic product information, refined management and optimized resource allocation can be achieved. Through continuous monitoring and assessment of water quality and aquatic products, regional problems can be promptly identified and the protection of water quality and aquatic products can be promoted.

[0107] In one embodiment of the present invention, S3 includes:

[0108] Calculate the average water quality coefficient of all monitoring areas to obtain the comprehensive water quality coefficient;

[0109] Comparing the comprehensive water quality coefficient with a preset water quality threshold to obtain a comprehensive water quality comparison result;

[0110] Determine the comprehensive water quality status based on the comprehensive water quality comparison results to obtain comprehensive water quality determination information;

[0111] When the comprehensive water quality coefficient is greater than the preset water quality threshold, the comprehensive water quality is judged to be abnormal, otherwise it is normal;

[0112] Calculate the average aquatic production coefficient of all monitoring areas to obtain the comprehensive aquatic production coefficient;

[0113] Comparing the comprehensive aquatic production coefficient with a preset aquatic production threshold to obtain a comprehensive aquatic production comparison result;

[0114] Determine the status of comprehensive aquatic products based on the comprehensive aquatic product comparison results to obtain comprehensive aquatic product determination information;

[0115] When the comprehensive aquatic production coefficient is greater than the preset aquatic production threshold, the comprehensive aquatic production is judged to be abnormal, otherwise it is normal;

[0116] The comprehensive production coefficient is calculated by combining the comprehensive water quality coefficient with the comprehensive water production coefficient;

[0117] The calculation formula of the comprehensive production coefficient is:

[0118]

[0119] Among them, ZH sc is the comprehensive aquaculture coefficient, e is the total number of water quality monitoring areas, SZ qyl is the water quality coefficient of the lth monitoring area, t is the total number of aquatic monitoring areas, SC qyb is the fishery coefficient of the bth monitoring area;

[0120] Comparing the comprehensive production coefficient with a preset comprehensive production threshold to obtain a comprehensive production comparison result;

[0121] According to the state judgment of the comprehensive production according to the comprehensive production comparison result, the production comprehensive judgment information is obtained.

[0122] When the comprehensive production coefficient is greater than the preset comprehensive production threshold value, it is judged that the comprehensive production is abnormal, otherwise it is normal;

[0123] The working principle of the above technical solution is: calculate the average value of the water quality coefficient of all monitoring areas, that is, the comprehensive water quality coefficient. Compare the calculated comprehensive water quality coefficient with the preset water quality threshold to determine the state of the overall water quality. The comparison result will generate a comprehensive water quality comparison result, and then the state of the comprehensive water quality is judged according to the result, and the water quality comprehensive judgment information is obtained. Calculate the average value of the water production coefficient of all monitoring areas, that is, the comprehensive water production coefficient. Compare the calculated comprehensive water production coefficient with the preset water production threshold to determine the state of the overall water production. The comparison result will generate a comprehensive water production comparison result, and then the state of the comprehensive water production is judged according to the result, and the water production comprehensive judgment information is obtained. Calculate the comprehensive production coefficient, which combines the comprehensive water quality coefficient and the comprehensive water production coefficient. In the formula, the total number of water quality and water production monitoring areas and the coefficients of each area are considered. Compare the calculated comprehensive production coefficient with the preset comprehensive production threshold to determine the comprehensive state of the overall production. The comparison result will generate a comprehensive production comparison result, and then the state of the comprehensive production is judged according to the result, and the production comprehensive judgment information is obtained.

[0124] The technical effect of the above technical solution is: by calculating the comprehensive water quality coefficient and the comprehensive water production coefficient, the overall condition of water quality and water production can be comprehensively evaluated. Based on the calculation and comparison of the comprehensive production coefficient, the comprehensive state of production activities can be scientifically judged. Through continuous monitoring and evaluation of the comprehensive water quality, water production and production coefficient, potential problems can be found in time to provide a time window for early warning and response. According to the comprehensive judgment information, resource allocation can be optimized, such as adjusting the layout and intensity of water quality protection, aquaculture and production activities, to achieve sustainable development. Through comprehensive evaluation of water quality, water production and production state, the relationship between environmental protection and economic development can be balanced to realize the coordinated promotion of the two.

[0125] In one embodiment of the present application, the S4 comprises:

[0126] Set a process monitoring node by monitoring the water quality coefficient of the monitoring area, the water production coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive water production coefficient and the comprehensive production coefficient;

[0127] Generate a water production monitoring process through the process monitoring node;

[0128] Obtain coefficient change data of each process monitoring node of the aquatic product production monitoring process, compare the coefficient change data with a preset coefficient change threshold, and obtain a change comparison result;

[0129] According to the change comparison result, node abnormality early warning is performed on each process monitoring node of the aquatic product production monitoring process.

[0130] The working principle of the above technical solution is as follows: According to the water quality coefficient, the aquatic product coefficient, the comprehensive water quality coefficient, the comprehensive aquatic product coefficient, and the comprehensive production coefficient of the monitoring area, a series of process monitoring nodes are set. These nodes aim to capture and record the changes of various coefficients at different stages to comprehensively monitor the whole process of aquatic product production. Based on the set process monitoring nodes, an aquatic product production monitoring process is generated. This process describes in detail the whole process from water quality monitoring to aquatic product production, to comprehensive evaluation, as well as the correlation and dependency between nodes. At each process monitoring node of the aquatic product production monitoring process, the change data of various coefficients are obtained and recorded in real time. These data reflect the dynamic changes of water quality, aquatic products, and comprehensive production. The obtained coefficient change data are compared with preset coefficient change thresholds. These thresholds are set according to historical data, industry standards, or expert opinions, aiming to identify abnormal changes or potential risks. According to the comparison result of the coefficient change data and the preset threshold, it is judged whether each process monitoring node is abnormal. If the coefficient change of a certain node exceeds the preset threshold, it is considered abnormal. Once an abnormal node is found, a node abnormality early warning is generated. The early warning information includes the location of the abnormal node, the type of abnormality, the degree of abnormality, and the possible impact, so that relevant personnel can take timely measures to respond.

[0131] The technical effects of the above technical solution are as follows: By setting process monitoring nodes and generating an aquatic product production monitoring process, real-time monitoring of water quality, aquatic products, and comprehensive production is achieved. Once abnormal changes are found, early warning information is generated immediately, improving response speed and response ability. The early warning information can accurately locate the abnormal node, providing strong support for rapid troubleshooting and problem solving. This helps to reduce troubleshooting time and reduce losses. By analyzing the early warning information, potential problems can be found in time and decision-making and resource allocation can be adjusted. For example, water quality protection measures can be strengthened for water quality deterioration, or breeding strategies can be adjusted for aquatic product yield decline. By integrating water quality, aquatic products, and comprehensive production into a unified management system, through real-time monitoring and early warning mechanisms, the overall management level is improved. This helps to ensure the stability and sustainability of aquatic product production. By setting process monitoring nodes and generating an aquatic product production monitoring process, comprehensive monitoring and early warning of water quality, aquatic products, and comprehensive production are achieved.

[0132] In an embodiment of the present application, the management platform comprises:

[0133] The regional data integration module is used for dividing the monitoring area of the preset stream or river, monitoring the water quality and the state of the aquatic products in the monitoring area, classifying and integrating the obtained monitoring data of the water quality and the aquatic products, and obtaining integrated monitoring data of the water quality and the aquatic products.

[0134] The regional water quality and aquatic product monitoring module is used for calculating the water quality coefficient and the aquatic product coefficient of the monitoring area, comparing them with the preset water quality threshold and the preset aquatic product threshold respectively, determining the regional water quality state and the regional aquatic product state according to the comparison results, and obtaining determination information.

[0135] The comprehensive water quality and aquatic product monitoring module is used for obtaining the comprehensive aquatic product coefficient and the comprehensive water quality coefficient, comparing them with the preset water quality threshold and the preset aquatic product threshold respectively, determining the comprehensive water quality state and the comprehensive aquatic product state, and then calculating the comprehensive production coefficient to determine the state of the comprehensive production.

[0136] The production process abnormality early warning module is used for setting the process monitoring nodes, generating the aquatic product production monitoring process, judging the coefficient change data of the process monitoring nodes, and performing node abnormality early warning.

[0137] The working principle of the above technical solution is as follows: The preset stream or river is divided into a plurality of monitoring areas, and each area is divided according to its geographical, ecological and production characteristics. In each monitoring area, water quality monitoring equipment (such as a pH meter, a dissolved oxygen sensor, a temperature sensor, etc.) and aquatic product state monitoring equipment (such as a camera, a biomass sensor, etc.) are installed to collect water quality parameters (such as pH value, dissolved oxygen content, temperature, etc.) and aquatic product state parameters (such as biomass, activity state, health condition, etc.) in real time. The collected data is classified and integrated to form integrated monitoring data of the water quality and the aquatic products. According to the integrated monitoring data, the water quality coefficient and the aquatic product coefficient of each monitoring area are calculated. The calculated water quality coefficient and aquatic product coefficient are compared with the preset water quality threshold and aquatic product threshold respectively to determine whether the regional water quality state and the regional aquatic product state are at a normal, warning or dangerous level. On the basis of the regional state determination, the comprehensive aquatic product coefficient and the comprehensive water quality coefficient are further calculated, which reflect the comprehensive state of the water quality and the aquatic products of the entire stream or river. The comprehensive coefficients are compared with the preset threshold to determine the comprehensive water quality state and the comprehensive aquatic product state. According to the determination result, the comprehensive production coefficient is calculated, which comprehensively reflects the overall efficiency and sustainability of the aquatic product production. A plurality of monitoring nodes are set in the aquatic product production process, which can be key production links or potential risk points. The aquatic product production monitoring process is generated, and the coefficient change data of each node is tracked in real time. When the coefficient change of a certain node exceeds the preset range, the abnormality early warning mechanism is triggered, and the management personnel are timely notified to take corresponding measures.

[0138] The technical effects of the above technical solutions are: through real-time monitoring and data analysis, problems in the production process are found and solved in a timely manner, reducing production losses. Optimizing resource allocation, improving the overall efficiency and sustainability of aquatic production. Real-time monitoring of water quality parameters, timely detection of water quality changes, ensuring the safety of the aquatic production environment. Provide scientific basis for water quality management, reduce production risks caused by water quality problems. Through monitoring the state of aquatic products, the growth and health status of aquatic products are understood in a timely manner, ensuring product quality. Provide data support for product traceability, enhance consumer confidence. Realize the intelligent and automated management of aquatic production, reduce labor costs. Provide data analysis and decision support functions to help managers make more scientific and reasonable decisions. Through real-time monitoring, data analysis and intelligent management, the efficiency, safety and product quality of aquatic production are effectively improved.

[0139] In one embodiment of the present application, the regional data integration module comprises:

[0140] A monitoring area division module is configured to obtain preset stream or river information, divide the monitoring areas of the preset streams and the preset rivers according to the preset division categories, and obtain a plurality of monitoring areas of the preset streams or rivers.

[0141] A water quality and aquatic data monitoring module is configured to monitor the water quality data of each monitoring area of the preset streams or rivers, and obtain regional water quality monitoring data.

[0142] An aquatic data monitoring module is configured to monitor the aquatic data of each monitoring area of the preset streams or rivers, and obtain regional aquatic monitoring data.

[0143] A water quality and aquatic data integration module is configured to integrate all the regional water quality monitoring data of the preset streams or rivers, and obtain water quality integrated monitoring data.

[0144] An aquatic data integration module is configured to integrate all the regional aquatic monitoring data of the preset streams or rivers, and obtain aquatic integrated monitoring data.

[0145] The working principle of the above technical solution is as follows: through geographic information system (GIS), historical data or field investigation, etc., the detailed information of the preset stream or river is obtained, including geographic location, flow direction, flow rate, width, depth, bottom material, vegetation coverage, etc. According to the preset partition type (such as geographic feature, ecological type, breeding demand, etc.), the preset stream or river is divided into multiple monitoring areas. These monitoring areas should be representative and can fully reflect the water quality and aquatic product conditions of the entire stream or river. In each monitoring area, water quality monitoring equipment (such as pH meter, dissolved oxygen sensor, temperature sensor, turbidity meter, conductivity meter, etc.) is installed to monitor water quality parameters in real time. Collect and record the water quality data of each monitoring area, including pH value, dissolved oxygen content, temperature, turbidity, conductivity, etc. In each monitoring area, aquatic product monitoring equipment (such as camera, biomass sensor, underwater drone, etc.) is used to monitor aquatic products. Collect and record the aquatic product data of each monitoring area, including biomass, species, activity state, health status, etc. Integrate the water quality monitoring data of all monitoring areas to form water quality integrated monitoring data. This includes calculating the average value, standard deviation, maximum value, minimum value, etc. of each area, as well as drawing the spatial distribution map and time variation curve of water quality parameters. Integrate the aquatic product monitoring data of all monitoring areas to form aquatic product integrated monitoring data. This includes statistical indicators such as biomass, species distribution, health status, etc. of each area, as well as drawing the spatial distribution map and time variation curve of aquatic product status.

[0146] The technical effect of the above technical solution is as follows: by installing monitoring equipment in multiple monitoring areas, comprehensive monitoring of the preset stream or river is achieved, ensuring the accuracy and representativeness of the data. Real-time monitoring of water quality and aquatic product data can timely detect water quality changes and aquatic product abnormalities. Integrating water quality and aquatic product data forms comprehensive monitoring data. Through data analysis and mining, the correlation between water quality and aquatic products can be found. Based on the monitoring data and analysis results, targeted water quality management schemes and aquatic breeding strategies can be developed to improve breeding efficiency and product quality. When the monitoring data exceeds the preset threshold, the early warning mechanism can be triggered to timely notify the management personnel to take measures to prevent water quality deterioration and aquatic product loss. Through comprehensive, real-time monitoring of water quality and aquatic product data, and data integration and analysis.

[0147] In one embodiment of the present application, the regional water quality and aquatic product monitoring module comprises:

[0148] The water quality area calculation and analysis module is used to calculate the water quality coefficient of each monitoring area according to the regional water quality monitoring data.

[0149] The calculation formula of the water quality coefficient of the monitoring area is:

[0150]

[0151] wherein, SZ qy is the water quality coefficient of the monitoring area, c is the number of water quality index types of the monitoring area, ZP di is the actual collected data of the i-th type of index of the water quality of the monitoring area, ZP yi is the preset data of the i-th type of index of the water quality of the monitoring area, ZQ i is the preset weight of the i-th type of index of the water quality, ZQ j is the preset weight of the current season of the water quality, ZQ w is the preset weight of the current pollution index of the water quality;

[0152] The water quality index types include physical parameters, chemical parameters, other parameters, etc., such as temperature, turbidity, pH value, and active microorganisms.

[0153] The water quality coefficient of the monitoring area is compared with a preset water quality threshold to obtain a regional water quality comparison result.

[0154] According to the regional water quality comparison result, the state of the regional water quality is determined to obtain regional water quality determination information.

[0155] The water product area calculation and analysis module is used to calculate the water product coefficient of each monitoring area according to the regional water product monitoring data.

[0156] The calculation formula of the water product coefficient of the monitoring area is:

[0157]

[0158] wherein, SC qy is the water product coefficient of the monitoring area, K is the number of water product index types of the monitoring area, CP dO is the actual collected data of the i-th type of index of the water product of the monitoring area, CP yO is the preset data of the i-th type of index of the water product of the monitoring area, CQ O is the preset weight of the i-th type of index of the water product, CQ j is the preset weight of the current season of the water product, CQ m is the preset weight of the current area index of the water product;

[0159] The water product index types include weight, quantity, volume, etc.

[0160] The water product coefficient of the monitoring area is compared with a preset water product threshold to obtain a regional water product comparison result.

[0161] According to the regional water product comparison result, the state of the regional water product is determined to obtain regional water product determination information.

[0162] The working principle of the above technical solution is: collecting water quality index data from each monitoring area, including physical parameters (such as temperature, turbidity), chemical parameters (such as pH value), and other parameters (such as active microorganisms, etc.). Calculate the water quality coefficient of each monitoring area. This formula considers the difference between the actual collected data and the preset data of each water quality index, and adjusts according to the preset weight. Compare the calculated water quality coefficient with the preset water quality threshold to determine the state of the regional water quality. Collect water production index data of each monitoring area, including weight, quantity, volume, etc. Calculate the water production coefficient of each monitoring area. This formula considers the difference between the actual collected data and the preset data of each water production index, and adjusts according to the preset weight. Compare the calculated water production coefficient with the preset water production threshold to determine the state of the regional water production (such as abundant, general, scarce, etc.).

[0163] The technical effect of the above technical solution is: by collecting water quality and water production data in real time, abnormal changes in water quality or water production can be discovered in time, providing timely warning information for relevant departments. Calculate the water quality coefficient and the water production coefficient, which can consider multiple factors (such as index type, season, pollution index, etc.). According to the determination information of regional water quality and water production, realize fine management and resource optimization allocation. Through continuous monitoring and evaluation of water quality and water production, it is helpful to discover regional problems in time and promote the protection of water quality and water production.

[0164] One embodiment of the present application, the comprehensive water quality and water production monitoring module comprises:

[0165] The water quality comprehensive analysis module is used to calculate the average value of the water quality coefficient of all monitoring areas, and obtain the comprehensive water quality coefficient;

[0166] Compare the comprehensive water quality coefficient with the preset water quality threshold to obtain the comprehensive water quality comparison result;

[0167] According to the comprehensive water quality comparison result, the state of the comprehensive water quality is determined to obtain the water quality comprehensive determination information;

[0168] The water production comprehensive analysis module is used to calculate the average value of the water production coefficient of all monitoring areas, and obtain the comprehensive water production coefficient;

[0169] Compare the comprehensive water production coefficient with the preset water production threshold to obtain the comprehensive water production comparison result;

[0170] According to the comprehensive water production comparison result, the state of the comprehensive water production is determined to obtain the water production comprehensive determination information;

[0171] The production comprehensive analysis module is used to calculate the comprehensive production coefficient by combining the comprehensive water quality coefficient and the comprehensive water production coefficient;

[0172] The calculation formula of the comprehensive production coefficient is:

[0173]

[0174] wherein, ZH sc is the comprehensive water quality coefficient, e is the total number of monitoring areas for water quality, SZ qyl is the water quality coefficient of the lth monitoring area, t is the total number of monitoring areas for water production, SC qyb is the water production coefficient of the bth monitoring area.

[0175] comparing the comprehensive production coefficient with a preset comprehensive production threshold to obtain a comprehensive production comparison result;

[0176] conducting state determination on the comprehensive production according to the comprehensive production comparison result to obtain production comprehensive determination information.

[0177] The working principle of the above technical solution is as follows: the average value of the water quality coefficients of all monitoring areas, i.e., the comprehensive water quality coefficient, is calculated. The calculated comprehensive water quality coefficient is compared with a preset water quality threshold to determine the state of the overall water quality. The comparison result will generate a comprehensive water quality comparison result, and then the state of the comprehensive water quality is determined according to the result to obtain water quality comprehensive determination information. The average value of the water production coefficients of all monitoring areas, i.e., the comprehensive water production coefficient, is calculated. The calculated comprehensive water production coefficient is compared with a preset water production threshold to determine the state of the overall water production. The comparison result will generate a comprehensive water production comparison result, and then the state of the comprehensive water production is determined according to the result to obtain water production comprehensive determination information. The comprehensive production coefficient is calculated, and the formula combines the comprehensive water quality coefficient and the comprehensive water production coefficient. The formula considers the total number of water quality and water production monitoring areas and the coefficients of the respective areas. The calculated comprehensive production coefficient is compared with a preset comprehensive production threshold to determine the comprehensive state of the overall production. The comparison result will generate a comprehensive production comparison result, and then the state of the comprehensive production is determined according to the result to obtain production comprehensive determination information.

[0178] The technical effect of the above technical solution is as follows: by calculating the comprehensive water quality coefficient and the comprehensive water production coefficient, the overall condition of water quality and water production can be comprehensively evaluated. Based on the calculation and comparison of the comprehensive production coefficient, the comprehensive state of production activities can be scientifically judged. Through continuous monitoring and evaluation of the comprehensive water quality, water production and production coefficients, potential problems can be found in time to provide a time window for early warning and response. According to the comprehensive determination information, resource allocation can be optimized, such as adjusting the layout and intensity of water quality protection, aquaculture and production activities, to achieve sustainable development. Through comprehensive evaluation of the water quality, water production and production state, the relationship between environmental protection and economic development can be balanced to realize the coordinated promotion of the two.

[0179] In an embodiment of the present application, the production process abnormality early warning module comprises:

[0180] The monitoring process generation module is configured to set process monitoring nodes by monitoring the water quality coefficient of the monitoring area, the water production coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive water production coefficient, and the comprehensive production coefficient.

[0181] The water production monitoring process is generated through the process monitoring nodes.

[0182] The change comparison early warning module is configured to obtain coefficient change data of each process monitoring node of the water production monitoring process, compare the coefficient change data with a preset coefficient change threshold, and obtain a change comparison result.

[0183] According to the change comparison result, node anomaly early warning is performed on each process monitoring node of the water production monitoring process.

[0184] The working principle of the above technical solution is as follows: According to the water quality coefficient, the water production coefficient, the comprehensive water quality coefficient, the comprehensive water production coefficient, and the comprehensive production coefficient of the monitoring area, a series of process monitoring nodes are set. These nodes aim to capture and record the changes of various coefficients at different stages to comprehensively monitor the whole process of water production. Based on the set process monitoring nodes, a water production monitoring process is generated. This process describes the whole process from water quality monitoring to water production, and then to comprehensive evaluation, as well as the association and dependency relationship between nodes. At each process monitoring node of the water production monitoring process, the change data of various coefficients is obtained and recorded in real time. These data reflect the dynamic changes of water quality, water production, and comprehensive production. The obtained coefficient change data is compared with the preset coefficient change threshold. These thresholds are set according to historical data, industry standards, or expert opinions, aiming to identify abnormal changes or potential risks. According to the comparison result of the coefficient change data and the preset threshold, it is judged whether each process monitoring node is abnormal. If the coefficient change of a certain node exceeds the preset threshold, it is considered abnormal. Once an abnormal node is found, a node anomaly early warning is generated. The early warning information includes the location of the abnormal node, the type of abnormality, the degree of abnormality, and the possible impact, so that relevant personnel can take timely measures to respond.

[0185] The technical effects of the above technical solutions are: by setting the process monitoring node and generating the aquatic product production monitoring process, real-time monitoring of water quality, aquatic products and comprehensive production is realized. Once abnormal changes are found, early warning information is immediately generated, improving response speed and response capability. The early warning information can accurately locate the node where the abnormality occurs, providing strong support for rapid troubleshooting and problem solving. This helps to reduce troubleshooting time and reduce losses. By analyzing the early warning information, potential problems can be identified in a timely manner and decisions and resource allocation can be adjusted. For example, water quality protection measures can be strengthened in the case of water quality deterioration, or breeding strategies can be adjusted in the case of decreased aquatic product yield. By integrating water quality, aquatic products and comprehensive production into a unified management system, through real-time monitoring and early warning mechanisms, the overall management level is improved. This helps to ensure the stability and sustainability of aquatic product production. By setting the process monitoring node and generating the aquatic product production monitoring process, comprehensive monitoring and early warning of water quality, aquatic products and comprehensive production are realized.

[0186] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. An intelligent aquatic production process management method, characterized in that: The management method includes: S1. Divide the preset stream or river into monitoring areas, monitor the water quality and aquatic status of the monitoring areas, classify and integrate the acquired water quality and aquatic monitoring data, and obtain integrated water quality and aquatic monitoring data; S2. Calculate the water quality coefficient and the aquatic production coefficient of the monitoring area, compare them with the preset water quality threshold and the preset aquatic production threshold, and determine the regional water quality status and the regional aquatic production status based on the comparison results to obtain determination information; S3. Obtain a comprehensive aquatic production coefficient and a comprehensive water quality coefficient, compare them with a preset water quality threshold and a preset aquatic production threshold, respectively, determine the comprehensive water quality status and the comprehensive aquatic production status, and then calculate the comprehensive production coefficient to determine the status of the comprehensive production; S4. Set up process monitoring nodes, generate aquatic production monitoring processes, determine coefficient change data of process monitoring nodes, and issue node abnormality warnings.

2. The intelligent aquatic production process management method according to claim 1, characterized in that: Said S1 comprises: Acquiring information about a preset stream or river, dividing the preset stream or river information into monitoring areas of the preset stream or river according to preset partition types, and obtaining a plurality of monitoring areas of the preset stream or river; Monitor water quality data in each monitoring area of ​​a preset stream or river to obtain regional water quality monitoring data; Conduct aquatic data monitoring in each monitoring area of ​​a preset stream or river to obtain regional aquatic monitoring data; Integrate all regional water quality monitoring data of a preset stream or river to obtain integrated water quality monitoring data; The aquatic monitoring data of all areas of the preset stream or river are integrated to obtain the integrated aquatic monitoring data.

3. The intelligent aquatic production process management method according to claim 1, characterized in that: The S2 includes: Calculate the water quality coefficient of each monitoring area based on regional water quality monitoring data; Compare the water quality coefficient of the monitored area with the preset water quality threshold to obtain the regional water quality comparison result; Determine the regional water quality status based on the regional water quality comparison results and obtain regional water quality determination information; Calculate the aquatic coefficient of each monitoring area based on regional aquatic monitoring data; Compare the fishery coefficient of the monitored area with the preset fishery threshold to obtain the regional fishery comparison result; The status of regional aquatic products is determined based on the regional aquatic product comparison results to obtain regional aquatic product determination information.

4. The intelligent aquatic product production process management method according to claim 1, characterized in that: The S3 includes: Calculate the average water quality coefficient of all monitoring areas to obtain the comprehensive water quality coefficient; Comparing the comprehensive water quality coefficient with a preset water quality threshold to obtain a comprehensive water quality comparison result; Determine the comprehensive water quality status based on the comprehensive water quality comparison results to obtain comprehensive water quality determination information; Calculate the average aquatic production coefficient of all monitoring areas to obtain the comprehensive aquatic production coefficient; Comparing the comprehensive aquatic production coefficient with a preset aquatic production threshold to obtain a comprehensive aquatic production comparison result; Determine the status of comprehensive aquatic products based on the comprehensive aquatic product comparison results to obtain comprehensive aquatic product determination information; The comprehensive production coefficient is calculated by combining the comprehensive water quality coefficient with the comprehensive water production coefficient; Comparing the comprehensive production coefficient with a preset comprehensive production threshold to obtain a comprehensive production comparison result; The comprehensive production status is judged based on the comprehensive production comparison result to obtain comprehensive production judgment information.

5. The intelligent aquatic production process management method according to claim 1, characterized in that: The S4 includes: Set process monitoring nodes through the water quality coefficient of the monitoring area, the aquatic production coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive aquatic production coefficient and the comprehensive production coefficient; Generate an aquatic production monitoring process through the process monitoring node; Obtain coefficient change data of each process monitoring node of the aquatic production monitoring process, compare the coefficient change data with a preset coefficient change threshold, and obtain a change comparison result; According to the change comparison result, a node abnormality warning is issued for each process monitoring node in the aquatic production monitoring process.

6. An intelligent aquatic production process management platform, characterized by: The management platform includes: The regional data integration module is used to divide the monitoring area of ​​the preset streams or rivers, monitor the water quality and aquatic status of the monitoring area, classify and integrate the acquired water quality and aquatic monitoring data, and obtain integrated water quality and aquatic monitoring data; The regional water quality and aquatic product monitoring module is used to calculate the water quality coefficient and aquatic product coefficient of the monitoring area, compare them with the preset water quality threshold and the preset aquatic product threshold respectively, and judge the regional water quality status and regional aquatic product status according to the comparison results to obtain judgment information; The comprehensive water quality and aquatic product monitoring module is used to obtain the comprehensive aquatic product coefficient and the comprehensive water quality coefficient, compare them with the preset water quality threshold and the preset aquatic product threshold respectively, determine the comprehensive water quality status and the comprehensive aquatic product status, and then calculate the comprehensive production coefficient to determine the status of the comprehensive production; The production process abnormality warning module is used to set process monitoring nodes, generate aquatic production monitoring processes, determine the coefficient change data of process monitoring nodes, and issue node abnormality warnings.

7. The intelligent aquatic production process management platform according to claim 6, characterized in that: The regional data integration module includes: A monitoring area division module is used to obtain information about a preset stream or river, divide the preset stream or river information into monitoring areas for the preset stream or river according to preset partition types, and obtain multiple monitoring areas for the preset stream or river; The water quality and aquatic product data monitoring module is used to monitor water quality data in each monitoring area of ​​a preset stream or river and obtain regional water quality monitoring data; Conduct aquatic data monitoring in each monitoring area of ​​a preset stream or river to obtain regional aquatic monitoring data; The water quality and aquatic product data integration module is used to integrate the water quality monitoring data of all areas of the preset stream or river to obtain integrated water quality monitoring data; The aquatic monitoring data of all areas of the preset stream or river are integrated to obtain the integrated aquatic monitoring data.

8. The intelligent aquatic production process management platform according to claim 6, characterized in that: The regional water quality and aquatic product monitoring module includes: Water quality regional calculation and analysis module, used to calculate the water quality coefficient of each monitoring area based on regional water quality monitoring data; Compare the water quality coefficient of the monitored area with the preset water quality threshold to obtain the regional water quality comparison result; Determine the regional water quality status based on the regional water quality comparison results and obtain regional water quality determination information; Aquatic product area calculation and analysis module, used to calculate the aquatic product coefficient of each monitoring area based on regional aquatic product monitoring data; Compare the fishery coefficient of the monitored area with the preset fishery threshold to obtain the regional fishery comparison result; The status of regional aquatic products is determined based on the regional aquatic product comparison results to obtain regional aquatic product determination information.

9. The intelligent aquatic production process management platform according to claim 6, characterized in that: The comprehensive water quality and aquatic product monitoring module includes: The water quality comprehensive analysis module is used to calculate the average water quality coefficient of all monitoring areas and obtain the comprehensive water quality coefficient; Comparing the comprehensive water quality coefficient with a preset water quality threshold to obtain a comprehensive water quality comparison result; Determine the comprehensive water quality status based on the comprehensive water quality comparison results to obtain comprehensive water quality determination information; Aquatic comprehensive analysis module, used to calculate the average aquatic coefficient of all monitoring areas and obtain the comprehensive aquatic coefficient; Comparing the comprehensive aquatic production coefficient with a preset aquatic production threshold to obtain a comprehensive aquatic production comparison result; Determine the status of comprehensive aquatic products based on the comprehensive aquatic product comparison results to obtain comprehensive aquatic product determination information; The comprehensive production analysis module is used to calculate the comprehensive production coefficient by combining the comprehensive water quality coefficient with the comprehensive water production coefficient; Comparing the comprehensive production coefficient with a preset comprehensive production threshold to obtain a comprehensive production comparison result; The comprehensive production status is judged based on the comprehensive production comparison result to obtain comprehensive production judgment information.

10. The intelligent aquatic production process management platform according to claim 6, characterized in that: The production process abnormality warning module includes: The monitoring process generation module is used to set the process monitoring nodes through the water quality coefficient of the monitoring area, the water production coefficient of the monitoring area, the comprehensive water quality coefficient, the comprehensive water production coefficient and the comprehensive production coefficient; Generate an aquatic production monitoring process through the process monitoring node; A change comparison and early warning module is used to obtain coefficient change data of each process monitoring node of the aquatic production monitoring process, compare the coefficient change data with a preset coefficient change threshold, and obtain a change comparison result; According to the change comparison result, a node abnormality warning is issued for each process monitoring node in the aquatic production monitoring process.

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