Intelligent archive generation and management method and system for aquaculture industry

Abstract

The invention discloses an intelligent archive generation and management method and system for the aquaculture industry, and relates to the technical field of information processing, and the method comprises the steps: collecting water quality information, feeding information, microclimate information, environment security and protection information, disease prevention information, disease information and the like in real time through a breeding information collection subsystem; formatting, cleaning and storing the collected data so as to facilitate subsequent query and statistics; the collected information is analyzed and processed through a scheduling optimization data model, and data support, historical query, statistical analysis and scientific decision basis are provided for user operation decision making; the analyzed information is visually displayed through an information visualization subsystem; and a data integration and access interface of each subsystem is provided through the integrated application platform subsystem. According to the invention, centralized storage and management of different types of data are realized, and traceability and coherence of information are ensured; and a data analysis tool and a visualization system are introduced to deeply analyze the collected data.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and more specifically to a method and system for generating and managing intelligent archives in aquaculture. Background Art

[0002] With the rapid development of the economy and society, people's requirements and standards for the environment are getting higher and higher. Along with the development of the economy, the aquaculture industry has also developed rapidly in recent years. The file management of the aquaculture industry is becoming more and more important. Its significance is reflected in the promotion of aquaculture production, the rational use of aquaculture resources, and the effective allocation of aquaculture staff. However, as far as the current file management of the aquaculture industry is concerned, there are still many problems, such as insufficient funds, uneven distribution of personnel, and imperfect system establishment.

[0003] Current status of aquaculture records management:

[0004] 1. Data silos: Various information (such as aquaculture pond information, fish information, feeding information, disease prevention information, etc.) is stored in different systems or departments. The lack of data integration and effective data sharing mechanism between different systems or departments has caused information fragmentation. This makes staff face problems such as duplicate records and information omissions when processing information, reducing work efficiency.

[0005] 2. Insufficient decision support capabilities: Due to the lack of a comprehensive data perspective, management may lack a basis for decision making, resulting in incorrect or inaccurate decisions.

[0006] 3. Data is not updated in a timely manner: Since file management is not updated in real time, the information obtained may be outdated, affecting management efficiency and production results.

[0007] Therefore, how to provide a method and system for generating and managing intelligent archives in the aquaculture industry, establish an integrated aquaculture management information system, realize centralized storage, processing and analysis of data, and ensure the standardization of the format and content of all relevant data is an urgent problem that technical personnel in this field need to solve. Summary of the invention

[0008] In view of this, the present invention provides a method and system for generating and managing intelligent archives in the aquaculture industry, which realizes the centralized storage and management of different types of data and ensures the traceability and consistency of information; and introduces data analysis tools and visualization systems to conduct in-depth analysis of the collected data.

[0009] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a method for generating and managing intelligent archives of aquaculture, comprising:

[0010] Construct an intelligent archive management platform for aquaculture, which includes multiple subsystems and an archive center; each subsystem is relatively independent, and each subsystem is connected to the archive center through a local area network or the Internet; data transmission and exchange between subsystems are carried out through the archive center, and data integration and access interfaces for each subsystem are provided;

[0011] The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem;

[0012] The aquaculture information collection subsystem collects water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time;

[0013] Through the information sorting and archiving subsystem, the collected data is formatted, cleaned and saved for subsequent query and statistics;

[0014] The information utilization subsystem uses the scheduling optimization data model to analyze and process the collected information, providing data support, historical query, and statistical analysis for users' business decisions;

[0015] The analyzed information is visualized through the information visualization subsystem, which facilitates quick understanding and analysis;

[0016] The integrated application platform subsystem provides data integration and access interfaces for each subsystem.

[0017] Preferably, the collected information is analyzed and processed by the information utilization subsystem to determine the input time and input amount of the input, including:

[0018] Determine the current aquaculture pond data and its processing stage and cycle;

[0019] Load water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information, and tail water discharge information at each treatment stage in the aquaculture pond;

[0020] Determine the decision variables in the mathematical model of scheduling optimization;

[0021] Combined with the actual operating conditions of the aquaculture pond, determine the constraints in the scheduling optimization mathematical model;

[0022] Determine the objective function in the scheduling optimization mathematical model;

[0023] The constructed scheduling optimization mathematical model is first converted into programming language, and then the optimization solution is performed using software.

[0024] Preferably, the constructed scheduling optimization mathematical model is first converted into GAMS programming language, and then optimized using Cplex solver.

[0025] Preferably, the processing stages of the culture pond include: seedling raising stage, growth stage and harvesting stage.

[0026] Preferably, the objective function includes: maximizing the growth rate of fish and maximizing the overall benefit of the breeding pond.

[0027] Preferably, the objective function is established with the goal of maximizing the overall benefit of the aquaculture pond, which is expressed as:

[0028]

[0029] Among them, E is the annual income of the breeding pond; is the average income of the numbered breeding pond in the tth period; Δt is the calculation time; i is the number of each breeding pond; n i is the number of breeding ponds; t represents the length of the time period;

[0030] The objective function is established with the goal of maximizing the growth rate of fish, which is expressed as:

[0031]

[0032] Where, F is the total growth rate of the fish; is the average growth rate of the mth fish in the dth period; Δd is the calculation time; m is the fish species; s m is the number of the mth type of fish; d represents the length of the time period.

[0033] Preferably, the fish feeding amount is used as a decision variable, a plurality of sequences based on the objective function are generated, and the decision variables are solved using a multi-objective genetic algorithm based on non-dominated solutions;

[0034] When solving the decision variables, constraints are introduced, including feed feeding restrictions and growth requirements of different fish species;

[0035] Randomly generate x chromosomes, that is, generate x sequences of fish feeding amount W, forming the initial population X0, and the population size is x;

[0036] Taking a time period as the dividing standard, each chromosome has multiple genes of feed limiting elements and multiple genes of different fish growth requirement elements, and these genes form an array;

[0037] The optimal fish feeding amount is obtained through the above steps.

[0038] Preferably, an intelligent archive generation and management system for aquaculture industry comprises: a plurality of subsystems and an archive center;

[0039] Each subsystem is relatively independent and connected to the archive center through a local area network or the Internet; data transmission and exchange between subsystems are carried out through the archive center;

[0040] The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem;

[0041] The aquaculture information collection subsystem is used to collect water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time;

[0042] The information sorting and archiving subsystem is used to format, clean and save the collected data for subsequent query and statistics;

[0043] The information utilization subsystem is used to analyze and process the collected data, and provide data support, historical query, and statistical analysis for users' business decisions;

[0044] The information visualization subsystem is used to visualize the analyzed information, which facilitates quick understanding and analysis;

[0045] The integrated application platform subsystem is used to provide data integration and access interfaces for each subsystem.

[0046] Preferably, the breeding information collection subsystem uploads the collected information to the main controller, which automatically uploads the information to the archive center through the network after obtaining the information, and automatically generates a unique identification ID, and writes the identification ID into the RFID tag through the RFID reader; the RFID tag is finally affixed to the upper left corner of the archive file.

[0047] Through the above technical scheme, it can be known that compared with the prior art, the present invention discloses a method and system for generating and managing intelligent archives for aquaculture, including: constructing an intelligent archive management platform for aquaculture, the intelligent archive management platform includes multiple subsystems and an archive center; each subsystem is connected to the archive center; data transmission and exchange are carried out between the subsystems through the archive center, and data integration and access interfaces of each subsystem are provided; wherein the subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem; through the aquaculture information collection subsystem, the aquaculture information collection subsystem is collected, the aquaculture information is sorted and archived, the aquaculture information is used, the aquaculture information is visualized, and the aquaculture information is integrated and applied to the platform. The system collects water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time; the collected data is formatted, cleaned and saved through the information sorting and archiving subsystem for subsequent query and statistics; the collected information is analyzed and processed through the scheduling optimization data model through the information utilization subsystem to provide data support, historical query and statistical analysis for user business decisions; the analyzed information is visualized through the information visualization subsystem; and the data integration and access interface of each subsystem is provided through the integrated application platform subsystem. The present invention realizes the centralized storage and management of different types of data, ensures the traceability and consistency of information; introduces data analysis tools and visualization systems to conduct in-depth analysis of the collected data. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0049] Figure 1 A schematic diagram of the flow of a method for intelligent file generation and management of aquaculture provided by the present invention.

[0050] Figure 2 A schematic diagram of the structure of an intelligent archive generation and management system for aquaculture provided by the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] The embodiment of the present invention discloses a method and system for generating and managing intelligent archives for aquaculture, which realizes centralized storage and management of different types of data, ensures the traceability and consistency of information; introduces data analysis tools and visualization systems, conducts in-depth analysis of collected data, establishes a real-time data monitoring system, ensures timely updating and feedback of data; forms dynamic management, and improves the efficiency of information-based and intelligent aquaculture archive management.

[0053] In a specific embodiment of the present invention, a method for generating and managing intelligent archives for aquaculture is provided. Figure 1 As shown, including:

[0054] Construct an intelligent archive management platform for aquaculture, which includes multiple subsystems and an archive center; each subsystem is relatively independent, and each subsystem is connected to the archive center through a local area network or the Internet; data transmission and exchange between subsystems are carried out through the archive center, and data integration and access interfaces for each subsystem are provided;

[0055] The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem;

[0056] The aquaculture information collection subsystem collects water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time;

[0057] Through the information sorting and archiving subsystem, the collected data is formatted, cleaned and saved for subsequent query and statistics;

[0058] The information utilization subsystem uses the scheduling optimization data model to analyze and process the collected information, providing data support, historical query, and statistical analysis for users' business decisions;

[0059] The analyzed information is visualized through the information visualization subsystem, which facilitates quick understanding and analysis;

[0060] The integrated application platform subsystem provides data integration and access interfaces for each subsystem.

[0061] The embodiments of the present invention can provide data support, historical query, statistical analysis, and scientific decision-making basis for the business decisions of breeding enterprises (individual households), group companies, input service companies, fishery insurance companies, and governments (Agriculture and Rural Bureau, Big Data Bureau, Environmental Protection Bureau).

[0062] A local area network is established in each subsystem, which is connected to the archive center through the subsystem's master controller or subsystem server. This design ensures that each subsystem can operate independently and can also achieve linkage between subsystems according to the set logic and specific requirements.

[0063] Each subsystem is connected to the archive center via a local area network or the Internet to ensure timely updating and remote access of data.

[0064] The data of each subsystem is stored in the archive center, and information exchange is also completed through the archive center; each subsystem is integrated into a unified integrated application platform; providing unified management of breeding information. Each subsystem transmits the generated data through the archive center, and the framework can support asynchronous or real-time data exchange to ensure the consistency of information.

[0065] Aquaculture information includes aquaculture pond information, fish information, water quality information and feeding information;

[0066] The above subsystems are managed in an integrated and unified manner, and the data is transmitted to a unified archive center for exchange through a unified data interface. Through unified network management of data collection, processing, sorting, utilization and storage in the aquaculture process, panoramic monitoring of each stage of the aquaculture process is achieved.

[0067] Specifically, the aquaculture information collection subsystem collects water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time, including:

[0068] Use multi-parameter water quality monitoring instruments (such as turbidity sensors, pH sensors, dissolved oxygen sensors, ammonia nitrogen sensors, etc.) to monitor water quality information in real time;

[0069] An automatic feeder is used to feed the feed according to the set program and demand. The automatic feeder is equipped with a timer and a weighing sensor; the weighing sensor is used to monitor the weight of the feed fed each time.

[0070] After each feeding, the supply amount, feeding time and feed type are automatically recorded and uploaded to the archive center to monitor the fish behavior after feeding and timely evaluate the feed conversion rate and intake.

[0071] Using IoT technology, the collected data can be integrated into the local network to ensure real-time data transmission.

[0072] Feeding information includes feeding time, feeding quantity and feeding type;

[0073] Micro-meteorological information includes real-time monitoring of temperature, humidity, wind speed, and sunshine duration;

[0074] Environmental security information includes equipment operating status, surrounding environment monitoring, etc.

[0075] Disease prevention information includes vaccinations for different types of fish and regular checks of water quality and fish survival;

[0076] Disease information includes whether diseases are found (bacterial infection or parasites) and corresponding treatment measures (adding antibiotics or strengthening water quality monitoring);

[0077] Death information records the death of aquatic products, including: type of death, time of death and cause of death;

[0078] Sampling information records regular sampling, including testing of water quality and aquatic product quality;

[0079] Aquatic product quality information includes the quality status of aquatic products;

[0080] Sales information is used to record sales-related data, including sales date, quantity and price;

[0081] Tailwater discharge information is used to record the water quality of the discharged water body to ensure compliance with discharge standards, including the discharge date, discharge water quality, and whether the discharge standards are met.

[0082] Specifically, the collected data is formatted, cleaned and saved through the information sorting and archiving subsystem to facilitate subsequent query and statistics, including:

[0083] (1) Determine the data structure and set the corresponding fields according to the data type and structure and different data requirements.

[0084] Create a data table containing the following fields:

[0085] Time of launch: launch date;

[0086] Input type: fish name or type;

[0087] Inputs: Number of fish;

[0088] Health status (optional): The health status of the fish;

[0089] Remarks: treatment measures or other important information;

[0090] (2) Classify different records according to data type, for example:

[0091] Input data;

[0092] Health monitoring data

[0093] Disease records;

[0094] (3) Data formatting

[0095] a. Standardized data format

[0096] Ensure that the date format is consistent (such as YYYY-MM-DD) and the quantity unit is consistent (items).

[0097] Use uniform naming conventions, for example, fish species need to use a standard name list to avoid different names for the same fish.

[0098] b. Data encoding

[0099] Encode some qualitative descriptive information, such as:

[0100] Health status: healthy (1), mild illness (2), severe illness (3);

[0101] Simplified codes can be used for fish species, such as grass carp (C), carp (L), etc.

[0102] (4) Data cleaning

[0103] a. Deduplication

[0104] Check whether there are duplicate records in the data and remove unnecessary duplicate data.

[0105] b. Handling missing values

[0106] To handle missing data, choose to fill, delete or retain null values ​​according to the specific situation.

[0107] c. Bug Fixes

[0108] Check for spelling errors, format errors, and other issues that may occur when entering data, and make corresponding corrections.

[0109] (5) Data preservation

[0110] a. Data storage method

[0111] Choose a suitable storage method, such as a database management system (such as MySQL, PostgreSQL): suitable for large-scale data, supporting complex queries and data management.

[0112] b. Regular backup

[0113] Back up data regularly to ensure that data is not lost, and achieve this through script automation.

[0114] (6) Data documentation

[0115] a. Write a data sheet

[0116] The collected data shall be explained, including the definition of data fields, data format, data source and other information, so as to facilitate the subsequent understanding and use of breeding personnel.

[0117] b. Data update records

[0118] Maintain a data change log to record the content and time of each data update for traceability and management.

[0119] (7) Subsequent inquiries and statistics

[0120] a. Establish a query mechanism

[0121] Design corresponding query interfaces or tools so that breeders can easily query the required information.

[0122] b. Data statistics and analysis

[0123] Use data analysis software (such as Excel, R, Python, etc.) to perform statistical analysis on data, generate reports and charts, and assist in management decision-making.

[0124] Specifically, the information utilization subsystem analyzes and processes the collected information to determine the input time and input amount of the input, including:

[0125] Determine the current breeding pond data and its processing stage and processing cycle; obtain the current breeding pond data: such as water area, depth, fish species, breeding density, current fish weight, etc.; determine the processing stage of each breeding pond (such as seedling stage, growth stage, harvest stage) and the processing cycle of each stage (such as January, February);

[0126] Load water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information, and tail water discharge information at each treatment stage in the aquaculture pond;

[0127] Determine the decision variables in the scheduling optimization mathematical model; the decision variables include: fish feeding amount: the amount of feed fed each time.

[0128] Combined with the actual operating conditions of the breeding pond, the constraints in the scheduling optimization mathematical model are determined; the constraints include: feed feeding restrictions: the feed amount cannot exceed a certain upper limit; water quality requirements: water quality indicators such as ammonia nitrogen and dissolved oxygen must be within a safe range; fish growth requirements: the growth needs of different fish.

[0129] Determine the objective function in the scheduling optimization mathematical model;

[0130] The constructed scheduling optimization mathematical model is first converted into programming language, and then the optimization solution is performed using software.

[0131] By establishing a scheduling optimization mathematical model, we can analyze and optimize the use of inputs in the aquaculture pond. This model will be continuously optimized and adjusted according to the operation results to ensure the maximum aquaculture efficiency and economic benefits. By further collecting data and adjusting parameters, we can improve the accuracy and practicality of the model.

[0132] Specifically, the constructed scheduling optimization mathematical model is first converted into GAMS programming language, and then the Cplex solver is used for optimization solution.

[0133] Specifically, the processing stages of the culture pond include: seedling stage, growth stage and harvest stage.

[0134] Specifically, the objective function includes: maximizing the growth rate of fish and maximizing the overall benefit of the breeding pond.

[0135] Specifically, the objective function is established with the goal of maximizing the overall benefit of the aquaculture pond, which is expressed as:

[0136]

[0137] Among them, E is the annual income of the breeding pond; is the average income of the numbered breeding pond in the tth period; Δt is the calculation time; i is the number of each breeding pond; n i is the number of breeding ponds; t represents the length of the time period;

[0138] The objective function is established with the goal of maximizing the growth rate of fish, which is expressed as:

[0139]

[0140] Where, F is the total growth rate of the fish; is the average growth rate of the mth fish in the dth period; Δd is the calculation time; m is the fish species; s m is the number of the mth type of fish; d represents the length of the time period.

[0141] Specifically, the fish feeding amount is used as a decision variable, multiple objective function-based sequences are generated, and the decision variables are solved using a multi-objective genetic algorithm based on non-dominated solutions;

[0142] When solving the decision variables, constraints are introduced, including feed feeding restrictions and growth requirements of different fish species;

[0143] Randomly generate x chromosomes, that is, generate x sequences of fish feeding amount W, forming the initial population X0, and the population size is x;

[0144] Taking a time period as the dividing standard, each chromosome has multiple genes of feed limiting elements and multiple genes of different fish growth requirement elements, and these genes form an array;

[0145] The optimal fish feeding amount is obtained through the above steps.

[0146] Select m values ​​of better chromosomes from x chromosomes to perform crossover mutation calculations to generate a new population X1;

[0147] Calculate the objective function value corresponding to the chromosome in the new population and enter the next iteration.

[0148] Traverse any two pairs of chromosomes in the population, compare the fitness function values ​​of the two chromosomes, and select the better chromosome;

[0149] Enter the m values ​​of the current chromosome into crossover mutation;

[0150] If m=0, regenerate the initial population; if m>0, enter crossover mutation;

[0151] According to the set crossover probability, if crossover occurs, two chromosomes are randomly selected from the m values, and a non-zero integer within the gene number interval is randomly generated, and the gene positions greater than this number are exchanged;

[0152] According to the set mutation probability, if a mutation occurs, a non-zero integer within the gene number interval is randomly generated for the above chromosome, and the gene at this position mutates to any value between the maximum and minimum values ​​at this position in the m chromosomes;

[0153] The x newly generated chromosomes after crossover mutation, together with the better chromosomes obtained in the previous iteration, constitute a new population X1 with a population size of m+x;

[0154] Calculate the corresponding objective function value in the new population X1 and enter the next iteration.

[0155] The embodiment of the present invention achieves a multi-objective expression of maximizing the comprehensive benefits of the long-term operation of the aquaculture pond by comprehensively considering the two objective functions of maximizing the growth rate of fish and maximizing the overall benefits of the aquaculture pond.

[0156] In a specific embodiment of the present invention, an intelligent file generation and management system for aquaculture, such as Figure 2 As shown, it includes: multiple subsystems and an archive center;

[0157] Each subsystem is relatively independent and connected to the archive center through a local area network or the Internet; data transmission and exchange between subsystems are carried out through the archive center;

[0158] The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem;

[0159] The aquaculture information collection subsystem is used to collect water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time;

[0160] The information sorting and archiving subsystem is used to format, clean and save the collected data for subsequent query and statistics;

[0161] The information utilization subsystem is used to analyze and process the collected data, and provide data support, historical query, and statistical analysis for users' business decisions;

[0162] The information visualization subsystem is used to visualize the analyzed information, which facilitates quick understanding and analysis;

[0163] The integrated application platform subsystem is used to provide data integration and access interfaces for each subsystem.

[0164] Specifically, the breeding information collection subsystem uploads the collected information to the main controller, which automatically uploads the information to the archive center through the network after obtaining the information, and automatically generates a unique identification ID, and writes the identification ID into the RFID tag through the RFID reader; the RFID tag is finally affixed to the upper left corner of the archive file.

[0165] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0166] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for generating and managing intelligent archives for aquaculture, characterized in that: include: Constructing an intelligent archive management platform for aquaculture, the intelligent archive management platform comprising a plurality of subsystems and an archive center; each subsystem is connected to the archive center; Data transmission and exchange between subsystems are carried out through the archive center; The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem; The aquaculture information collection subsystem collects water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time; Through the information sorting and archiving subsystem, the collected data is formatted, cleaned and saved for subsequent query and statistics; The information utilization subsystem uses the scheduling optimization data model to analyze and process the collected information, providing data support, historical query, and statistical analysis for users' business decisions; Visualize the analyzed information through the information visualization subsystem; The integrated application platform subsystem provides data integration and access interfaces for each subsystem.

2. The method for generating and managing intelligent archives for aquaculture according to claim 1, characterized in that: The collected information is analyzed and processed through the information utilization subsystem, including: Determine the current aquaculture pond data and its processing stage and cycle; Load water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information, and tail water discharge information at each treatment stage in the aquaculture pond; Determine the decision variables in the mathematical model of scheduling optimization; Combined with the actual operating conditions of the aquaculture pond, determine the constraints in the scheduling optimization mathematical model; Determine the objective function in the scheduling optimization mathematical model; The constructed scheduling optimization mathematical model is first converted into programming language, and then the optimization solution is performed using software.

3. The method for generating and managing intelligent archives for aquaculture according to claim 2, characterized in that: The constructed scheduling optimization mathematical model is first converted into GAMS programming language, and then the Cplex solver is used for optimization solution.

4. The method for generating and managing intelligent aquaculture archives according to claim 2, characterized in that: The processing stages of the culture pond include: seedling stage, growth stage and harvest stage.

5. The method for generating and managing intelligent archives for aquaculture according to claim 2, characterized in that: The objective function includes: maximizing the growth rate of fish and maximizing the overall benefit of the breeding pond.

6. The method for generating and managing intelligent archives for aquaculture according to claim 5, characterized in that: The objective function is established with the goal of maximizing the overall benefit of the aquaculture pond, which is expressed as: Among them, E is the annual income of the breeding pond; is the average income of the numbered breeding pond in the tth period; Δt is the calculation time; i is the number of each breeding pond; n i is the number of breeding ponds; t represents the length of the time period; The objective function is established with the goal of maximizing the growth rate of fish, which is expressed as: Where, F is the total growth rate of the fish; is the average growth rate of the mth fish in the dth period; Δd is the calculation time; m is the fish species; s m is the number of the mth type of fish; d represents the length of the time period.

7. The method for generating and managing intelligent aquaculture archives according to claim 5, characterized in that: The fish feeding amount is used as a decision variable, multiple sequences based on the objective function are generated, and the decision variables are solved using a multi-objective genetic algorithm based on non-dominated solutions; When solving the decision variables, constraints are introduced, including feed feeding restrictions and growth requirements of different fish species; Randomly generate x chromosomes, that is, generate x sequences of fish feeding amount W, forming the initial population X0, and the population size is x; Taking a time period as the dividing standard, each chromosome has multiple genes of feed limiting elements and multiple genes of different fish growth requirement elements, and these genes form an array; The optimal fish feeding amount is obtained through the above steps.

8. An intelligent file generation and management system for aquaculture, characterized in that: include: Multiple subsystems and an archive center; Each subsystem is relatively independent and connected to the archive center; Data transmission and exchange between subsystems are carried out through the archive center; The subsystems include: aquaculture information collection subsystem, aquaculture information sorting and archiving subsystem, aquaculture information utilization subsystem, aquaculture information visualization subsystem and aquaculture information integrated application platform subsystem; The aquaculture information collection subsystem is used to collect water quality information, feeding information, micro-meteorological information, environmental security information, disease prevention information, disease information, death information, proofing information, aquatic product quality information, sales information and tail water discharge information in real time; The information sorting and archiving subsystem is used to format, clean and save the collected data; The information utilization subsystem is used to analyze and process the collected data, and provide data support, historical query, and statistical analysis for users' business decisions; The information visualization subsystem is used to visualize the analyzed information; The integrated application platform subsystem is used to provide data integration and access interfaces for each subsystem.

9. The intelligent file generation and management system for aquaculture according to claim 8, characterized in that: The breeding information collection subsystem uploads the collected information to the main controller, which automatically uploads the information to the archive center through the network after obtaining the information, and automatically generates a unique identification ID, and writes the identification ID into the RFID tag through the RFID reader; the RFID tag is finally affixed to the upper left corner of the archive file.

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