Amoeba management mode-based breeding management system

Abstract

The invention discloses a breeding management system based on an amoeba management mode, which significantly improves the refinement and intelligence level of breeding management by fusing three modules of dictionary management, amoeba pricing management and hog house cost profit analysis, the dictionary management module accurately records pig transfer reasons, provides powerful data support for breeding decision making, and improves the breeding management efficiency. The ameeba pricing management module sets reasonable prices according to pig transfer conditions to ensure accurate evaluation of transfer values, and the hog house cost and profit analysis module comprehensively calculates hog house revenue, cost and profit based on pricing management to provide a scientific basis for breeding decision-making. Data transformation of breeding management is achieved, each hog house is promoted to become an independent accounting unit, resource allocation is optimized, the profit level is improved, meanwhile, the enthusiasm of breeding personnel is stimulated, enterprise competitiveness is enhanced, and new vitality is injected to sustainable development of the breeding industry.

Description

Technical Field

[0001] The present invention relates to the technical field of aquaculture management, and in particular to an aquaculture management system based on an amoeba management mode. Background Art

[0002] In traditional farming management, the transfer of pigs between pig houses often lacks effective management and records. The reasons for the transfer of pigs are unclear, resulting in chaotic management and difficulty in tracking the flow and status of pigs. In addition, the transfer prices of pigs between different pig houses are often not clearly set and calculated, resulting in inaccurate revenue and cost calculations, making it difficult to provide strong support for the farm's business decisions.

[0003] In order to solve the above problems, existing breeding management systems have begun to introduce dictionary management modules to record and manage the specific reasons for the transfer of pigs between pig houses. However, these systems often stop here and do not further solve the problem of setting and calculating the pig transfer price. Therefore, in actual operation, manual price setting and calculation are still required, which is not only inefficient but also prone to errors. Summary of the invention

[0004] In view of this, the present invention proposes a breeding management system based on the amoeba management model, which can solve the defects of the prior art that manual price setting and calculation are required.

[0005] The technical solution of the present invention is achieved in this way:

[0006] A breeding management system based on the amoeba management mode, comprising:

[0007] Dictionary management module, used to manage the specific reasons for the transfer of pigs between different pig houses;

[0008] Ameba Pricing Management Module, used to set the price for transferring various types of pigs between different pig houses;

[0009] The pig house cost and profit analysis module is used to calculate the total revenue, total cost and profit of the pig house, as well as the number of pigs transferred in and out of each type according to the price set by the Amoeba Pricing Management Module.

[0010] As a further optional solution of the aquaculture management system based on the amoeba management mode, the dictionary management module includes:

[0011] Dynamic reason library, used to automatically generate and update reasons for transfer based on farm operation, pig health and disease prevention and control needs;

[0012] Cause correlation analysis unit, used to analyze and correlate the relationships between different transfer reasons;

[0013] Recommendation unit, used to recommend reasons for transfer based on historical data and machine learning algorithms;

[0014] The reason review and feedback unit is used for users to review the recommended transfer reasons and provide a feedback mechanism;

[0015] A visual interface for users to view, edit and manage transfer reasons.

[0016] As a further optional solution of the aquaculture management system based on the amoeba management mode, the amoeba pricing management module includes:

[0017] The price setting unit is used to set the price for transferring various types of pigs between different pig houses;

[0018] Data recording unit, used to record price information every time pigs are transferred;

[0019] Intelligent adjustment unit, used to intelligently analyze and adjust transfer prices based on market dynamics;

[0020] A permission management unit, used to manage the permissions of user operations;

[0021] The accounting interface unit is used to communicate with the Amoeba accounting system to calculate the total revenue, total cost and profit of the pig house.

[0022] As a further optional solution of the aquaculture management system based on the amoeba management mode, the amoeba pricing management module also includes:

[0023] User feedback unit, used to collect user feedback on price setting;

[0024] The data analysis unit is used to analyze price setting, transfer records and user feedback data to explore potential market opportunities and improvement points.

[0025] As a further optional solution of the aquaculture management system based on the amoeba management mode, the intelligent adjustment unit includes:

[0026] The market monitoring subunit is used to monitor market dynamics in real time;

[0027] The trend forecasting subunit is used to predict future market trends based on historical data and machine learning algorithms;

[0028] The strategy optimization subunit is used to automatically adjust the transfer price based on the market dynamic monitoring results and trend forecast results.

[0029] As a further optional solution of the breeding management system based on the amoeba management mode, the pig house cost-profit analysis module includes:

[0030] Total revenue calculation unit, used to calculate total revenue based on the number of pigs transferred and amoeba pricing;

[0031] Total cost calculation unit, used to calculate the total cost based on the number of pigs transferred in, amoeba pricing and pig house operating costs;

[0032] Profit calculation unit, used to calculate the profit of the pig house based on total revenue and total costs.

[0033] As a further optional solution of the breeding management system based on the amoeba management model, the breeding management system also includes a data display module for displaying the cost, revenue and profit data of the pig house in the form of graphics or tables.

[0034] A breeding management method based on the amoeba management model specifically includes:

[0035] Dictionary management step: manage the specific reasons for the transfer of pigs between pig houses according to the dictionary management module;

[0036] Amoeba Pricing Management Steps: Set the price for transferring various types of pigs between different pig houses according to the Amoeba Pricing Management Module;

[0037] Piggery cost-profit analysis steps: Calculate the total revenue, total cost and profit of the piggery according to the price set by the Amoeba Pricing Management Module;

[0038] Data analysis and optimization steps: Analyze the data on price setting, transfer records, and user feedback to explore potential market opportunities and improvement points.

[0039] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned aquaculture management method based on the amoeba management mode are implemented.

[0040] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned aquaculture management method based on the amoeba management model are implemented.

[0041] The beneficial effects of the present invention are as follows: through the dictionary management module, the system can accurately record and manage the specific reasons for the transfer of pigs between various pig houses, which not only helps the breeders to timely understand the dynamics and health status of the pigs, but also provides data support for subsequent breeding decisions, thereby improving the level of refinement of breeding management. The Amoeba pricing management module allows breeding companies to set reasonable prices based on the transfer of pigs between different pig houses. This pricing mechanism can ensure that the value of pigs in the transfer process is accurately assessed, thereby providing a reliable data basis for Amoeba accounting. Through precise cost control and profit analysis, companies can more effectively optimize resource allocation and improve overall profitability. The pig house cost-profit analysis module can be based on Amoeba pricing. The prices set by the management module comprehensively calculate the total revenue, total cost and profit of the pig house, as well as the number of pigs of each type transferred in and out. These data provide rich information support for breeding companies, helping them to make more scientific and reasonable breeding decisions. For example, companies can adjust breeding strategies based on data analysis results, optimize pig breed structure, and improve breeding efficiency. This technical solution combines the Amoeba management model with the breeding management system to achieve refined, data-based and intelligent breeding management. Through the application of the system, companies can implement the Amoeba management model more conveniently and promote each pig house to become an independent input-output accounting unit, thereby stimulating the enthusiasm and creativity of breeders and enhancing the overall competitiveness of the company. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 The present invention is a schematic diagram of the composition of a breeding management system based on the amoeba management mode;

[0044] Figure 2 The present invention is a flow chart of a breeding management method based on the amoeba management model. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention are described clearly and completely below. 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.

[0046] refer to Figure 1 to Figure 2, a breeding management system based on the amoeba management model, comprising:

[0047] Dictionary management module, used to manage the specific reasons for the transfer of pigs between different pig houses;

[0048] Ameba Pricing Management Module, used to set the price for transferring various types of pigs between different pig houses;

[0049] The pig house cost and profit analysis module is used to calculate the total revenue, total cost and profit of the pig house, as well as the number of pigs transferred in and out of each type according to the price set by the Amoeba Pricing Management Module.

[0050] In this embodiment, through the dictionary management module, the system can accurately record and manage the specific reasons for the transfer of pigs between various pig houses, which not only helps the breeders to understand the dynamics and health status of the pigs in a timely manner, but also provides data support for subsequent breeding decisions, thereby improving the level of refinement of breeding management. The Amoeba pricing management module allows breeding companies to set reasonable prices based on the transfer of pigs between different pig houses. This pricing mechanism can ensure that the value of pigs in the transfer process is accurately evaluated, thereby providing a reliable data basis for Amoeba accounting. Through precise cost control and profit analysis, companies can more effectively optimize resource allocation and improve overall profitability. The pig house cost-profit analysis module can be based on the Amoeba pricing management The price set by the management module can be used to comprehensively calculate the total revenue, total cost and profit of the pig house, as well as the number of pigs transferred in and out of each type. These data provide rich information support for breeding companies, which helps companies make more scientific and reasonable breeding decisions. For example, companies can adjust breeding strategies based on data analysis results, optimize pig breed structure, and improve breeding efficiency. This technical solution combines the amoeba management model with the breeding management system to achieve refined, data-based and intelligent breeding management. Through the application of the system, companies can implement the amoeba management model more conveniently and promote each pig house to become an independent input-output accounting unit, thereby stimulating the enthusiasm and creativity of breeders and enhancing the overall competitiveness of the company.

[0051] Preferably, the dictionary management module includes:

[0052] Dynamic reason library, which is used to automatically generate and update the reasons for transfer according to the operation of the pig farm, the health of the pigs and the demand for disease prevention and control. For example, when a certain disease outbreak occurs in the pig farm, the module can automatically add the transfer reasons related to the outbreak;

[0053] Cause association analysis unit, used to analyze and associate the relationship between different transfer reasons. For example, a certain disease may cause pigs to need to be transferred from ordinary pig houses to isolated pig houses. The module can identify this association and provide suggestions or warnings when necessary;

[0054] The recommendation unit is used to intelligently recommend the most suitable transfer reason for the current situation based on historical data and machine learning algorithms, reducing errors and uncertainties in human judgment;

[0055] The reason review and feedback unit is used for users to review the recommended transfer reasons and provide a feedback mechanism;

[0056] A visual interface for users to view, edit and manage transfer reasons.

[0057] In this embodiment, the dynamic cause library can automatically generate and update the reasons for transfer according to various factors such as the operation of the pig farm, the health status of the pigs and the needs of disease prevention and control. This intelligent management method reduces the workload of manual input and improves the timeliness and accuracy of data updates; the cause association analysis unit can analyze and associate the relationship between different transfer reasons, revealing the potential laws and trends of transfer behavior, which provides more in-depth data support for farmers and helps them to formulate more scientific breeding strategies; the recommendation unit recommends transfer reasons based on historical data and machine learning algorithms, and can provide farmers with more accurate transfer suggestions based on the actual situation and past experience of the pigs, which reduces the subjectivity of human judgment and improves the accuracy and rationality of the transfer reasons; the cause review and feedback unit allows users to review the recommended transfer reasons and provides a feedback mechanism. This two-way communication method helps the system to continuously optimize and improve the recommendation algorithm, improve the accuracy of the recommendation and user experience; the visualization interface provides users with an intuitive and easy-to-use operation interface, allowing them to easily view, edit and manage the transfer reasons. This friendly user interface reduces the difficulty of system operation and improves the work efficiency of users.

[0058] Preferably, the Ameba pricing management module includes:

[0059] The price setting unit is used to set the price for transferring various types of pigs between different pig houses;

[0060] Data recording unit, used to record price information every time pigs are transferred;

[0061] Intelligent adjustment unit, used to intelligently analyze and adjust transfer prices based on market dynamics;

[0062] A permission management unit, used to manage the permissions of user operations;

[0063] The accounting interface unit is used to communicate with the Amoeba accounting system to calculate the total revenue, total cost and profit of the pig house.

[0064] In this embodiment, the price setting unit allows setting specific prices for the transfer of various types of pigs between different pig houses, which helps the pig farm to differentiate pricing according to factors such as pig type, health status, market demand, etc., and improves the accuracy and rationality of pricing; the data recording unit can record the price information of each pig transfer in detail, which helps the pig farm to trace and analyze price data, understand price change trends, and provide reference for future pricing strategies; the intelligent adjustment unit performs intelligent analysis based on market dynamics and can automatically adjust the transfer price to adapt to market changes, which helps the pig farm to respond to market fluctuations in a timely manner, maintain price competitiveness, and improve profitability; the authority management unit performs authority management on user operations to ensure that only authorized users can set and adjust prices, which helps to maintain the security and stability of price data and prevent misoperation or malicious tampering; the accounting interface unit is seamlessly connected with the Ameba accounting system, and can accurately calculate the total revenue, total cost and profit of the pig house, which helps the pig farm to perform cost accounting and profit analysis, and provide strong support for management decisions. At the same time, by updating accounting data in real time, the pig farm can timely understand the operating conditions, adjust operating strategies, and improve management efficiency.

[0065] Preferably, the Ameba pricing management module further includes:

[0066] User feedback unit, used to collect user feedback on price setting;

[0067] The data analysis unit is used to analyze price setting, transfer records and user feedback data to explore potential market opportunities and improvement points.

[0068] In this embodiment, the user feedback unit can collect user feedback on price settings, which helps the company to understand user needs and market reactions in a timely manner, thereby adjusting pricing strategies to meet user expectations and improve user satisfaction and loyalty; the data analysis unit analyzes price settings, transfer records and user feedback data, and can explore potential market opportunities and improvement points, which provides data support for the company and helps the company make more scientific and reasonable decisions, optimize pricing strategies, and enhance market competitiveness; through data analysis, the company can identify which transfer prices between pig houses are unreasonable and then make adjustments. At the same time, the intelligent adjustment unit can intelligently analyze and adjust transfer prices according to market dynamics to ensure that pricing strategies keep pace with market changes and achieve optimal pricing.

[0069] It should be noted that the data analysis unit is an important component. It is responsible for analyzing data such as price setting, transfer records, and user feedback, exploring potential market opportunities and improvement points, and providing decision support for the continuous optimization of the pig farm. Specifically, it includes the following points:

[0070] Price setting analysis: Analyze whether the price setting when transferring various types of pigs between different pig houses is reasonable and whether it reflects the market supply and demand relationship and the actual value of the pigs; identify abnormalities or unreasonableness in price setting and put forward adjustment suggestions to optimize the price system of the Amoeba Pricing Management Module.

[0071] Transfer record analysis: Statistics and analysis of pig transfer records between different pig houses, including transfer quantity, transfer frequency, transfer time, etc., in order to understand the patterns and trends of pig flow; through transfer record analysis, problems in pig farm operations can be discovered, such as poor pig transfer and low pig house utilization, to provide a basis for optimizing pig farm layout and operation processes.

[0072] User feedback analysis: Collect and analyze user feedback on the Amoeba Pricing Management Module and the Farming Management System to understand user satisfaction and needs; identify system problems and improvement points based on user feedback, and propose improvement measures to enhance user experience and satisfaction.

[0073] Market opportunity mining: Through data analysis, potential market opportunities can be discovered, such as the trend of pig price fluctuations, changes in market demand, etc., to provide a basis for pig farms to formulate marketing strategies and expand the market.

[0074] Optimization decision support: Comprehensive price setting, transfer records, user feedback and other data provide decision support for the continuous optimization of the pig farm, such as adjusting the pig house layout, optimizing the breeding process, and improving the quality of pigs.

[0075] Application of data mining technology: Use data mining techniques, such as cluster analysis and association analysis, to deeply explore the hidden information and patterns in the data, and provide technical support for the refined management of pig farms.

[0076] Preferably, the intelligent adjustment unit includes:

[0077] The market monitoring subunit is used to monitor market dynamics in real time;

[0078] The trend forecasting subunit is used to predict future market trends based on historical data and machine learning algorithms;

[0079] The strategy optimization subunit is used to automatically adjust the transfer price based on the market dynamic monitoring results and trend forecast results.

[0080] In this embodiment, the intelligent adjustment unit can monitor market dynamics in real time and predict future market trends based on historical data and machine learning algorithms, so as to achieve rapid adjustment of transfer prices. This flexibility helps enterprises better adapt to market changes and reduce risks caused by price fluctuations. By accurately predicting market trends, enterprises can adjust production plans in advance and optimize the transfer strategy of pigs between different pig houses, so as to make more effective use of resources and improve overall operational efficiency. Intelligent pricing management helps enterprises maintain their advantages in the fierce market competition. By quickly responding to market changes, enterprises can adjust pricing strategies in time to attract more customers and increase market share. By intelligently adjusting prices, enterprises can avoid inventory backlogs or shortages caused by unreasonable prices, thereby reducing storage costs and production losses. At the same time, the data analysis unit can also tap potential market opportunities, help enterprises formulate more efficient marketing strategies, and further reduce costs. The real-time market dynamics and trend forecast data provided by the intelligent adjustment unit provide strong support for the decision-making of enterprises. Enterprises can formulate more scientific and reasonable pricing strategies and production plans based on these data, thereby improving the accuracy and effectiveness of decision-making.

[0081] Preferably, the pig house cost-profit analysis module includes:

[0082] Total revenue calculation unit, used to calculate total revenue based on the number of pigs transferred and amoeba pricing;

[0083] Total cost calculation unit, used to calculate the total cost based on the number of pigs transferred in, amoeba pricing and pig house operating costs;

[0084] Profit calculation unit, used to calculate the profit of the pig house based on total revenue and total costs.

[0085] In this embodiment, the total revenue calculation unit is directly calculated based on the number of transferred pigs and the amoeba pricing, ensuring the accuracy of the revenue data. The total cost calculation unit comprehensively considers the number of transferred pigs, the amoeba pricing and the operating costs of the pig house, and can fully reflect the operating costs of the pig house. The profit calculation unit directly obtains the profit based on the total revenue and total cost. The calculation process is concise and clear, which improves the data processing efficiency. By splitting the pig house cost and profit analysis module into multiple units, each unit focuses on a specific calculation task, so that managers can have a clearer understanding of the pig house's operating conditions. This refined management helps managers to promptly discover problems in operations and take effective measures to improve them. The pig house cost and profit analysis module is one of the specific applications of the amoeba management model in breeding management. Through this module, each pig house can be used as an independent input-output accounting unit for accounting, thereby realizing the "division and exchange" cycle in the amoeba management model, which helps to stimulate the enthusiasm and creativity of employees and promote the improvement of the overall benefits of the pig farm.

[0086] Preferably, the breeding management system also includes a data display module for displaying the cost, revenue and profit data of the pig house in the form of graphics or tables.

[0087] In this embodiment, the data display module enables managers to quickly obtain the operating data of the pig house. Through intuitive graphics or tables, managers can quickly understand the profitability of the pig house, and thus make timely and effective decisions based on accurate data; through a clear display of the pig house costs, revenues and profits, managers can identify which pig houses or breeding links perform well and which need improvement, which helps to optimize resource allocation, invest more resources and energy in high-efficiency pig houses or links, and improve overall breeding efficiency; the data display module makes the pig house's operating data more transparent, which helps to enhance the trust between managers and employees. Employees can clearly see the contribution of their work results to the overall benefits of the pig house, thereby stimulating work enthusiasm and sense of responsibility; the data display module can also set monitoring and early warning functions. When the cost, revenue or profit of the pig house fluctuates abnormally, the system can issue an early warning in time to remind managers to take corresponding measures to avoid potential risks and losses.

[0088] A breeding management method based on the amoeba management model specifically includes:

[0089] Dictionary management step: manage the specific reasons for the transfer of pigs between pig houses according to the dictionary management module;

[0090] Amoeba Pricing Management Steps: Set the price for transferring various types of pigs between different pig houses according to the Amoeba Pricing Management Module;

[0091] Piggery cost-profit analysis steps: Calculate the total revenue, total cost and profit of the piggery according to the price set by the Amoeba Pricing Management Module;

[0092] Data analysis and optimization steps: Analyze the data on price setting, transfer records, and user feedback to explore potential market opportunities and improvement points.

[0093] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned aquaculture management method based on the amoeba management mode are implemented.

[0094] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned aquaculture management method based on the amoeba management model are implemented.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A breeding management system based on the amoeba management model, characterized in that: include: Dictionary management module, used to manage the specific reasons for the transfer of pigs between different pig houses; Ameba Pricing Management Module, used to set the price for transferring various types of pigs between different pig houses; The pig house cost and profit analysis module is used to calculate the total revenue, total cost and profit of the pig house, as well as the number of pigs transferred in and out of each type according to the price set by the Amoeba Pricing Management Module.

2. The aquaculture management system based on the amoeba management mode according to claim 1, characterized in that: The dictionary management module includes: Dynamic reason library, used to automatically generate and update reasons for transfer based on farm operation, pig health and disease prevention and control needs; Cause correlation analysis unit, used to analyze and correlate the relationships between different transfer reasons; Recommendation unit, used to recommend reasons for transfer based on historical data and machine learning algorithms; The reason review and feedback unit is used for users to review the recommended transfer reasons and provide a feedback mechanism; A visual interface for users to view, edit and manage transfer reasons.

3. The aquaculture management system based on the amoeba management mode according to claim 2, characterized in that: The Ameba pricing management module includes: The price setting unit is used to set the price for transferring various types of pigs between different pig houses; Data recording unit, used to record price information every time pigs are transferred; Intelligent adjustment unit, used to intelligently analyze and adjust transfer prices based on market dynamics; A permission management unit, used to manage the permissions of user operations; The accounting interface unit is used to communicate with the Amoeba accounting system to calculate the total revenue, total cost and profit of the pig house.

4. The aquaculture management system based on the amoeba management mode according to claim 3 is characterized in that: The Ameba pricing management module also includes: User feedback unit, used to collect user feedback on price setting; The data analysis unit is used to analyze price setting, transfer records and user feedback data to explore potential market opportunities and improvement points.

5. The aquaculture management system based on the amoeba management mode according to claim 4, characterized in that: The intelligent adjustment unit comprises: The market monitoring subunit is used to monitor market dynamics in real time; The trend forecasting subunit is used to predict future market trends based on historical data and machine learning algorithms; The strategy optimization subunit is used to automatically adjust the transfer price based on the market dynamic monitoring results and trend forecast results.

6. The aquaculture management system based on the amoeba management mode according to claim 5, characterized in that: The pig house cost-profit analysis module includes: Total revenue calculation unit, used to calculate total revenue based on the number of pigs transferred and amoeba pricing; Total cost calculation unit, used to calculate the total cost based on the number of pigs transferred in, amoeba pricing and pig house operating costs; Profit calculation unit, used to calculate the profit of the pig house based on total revenue and total costs.

7. The aquaculture management system based on the amoeba management mode according to claim 6, characterized in that: The breeding management system also includes a data display module for displaying the cost, revenue and profit data of the pig house in the form of graphics or tables.

8. A breeding management method based on the amoeba management model, characterized in that: Specifically include: Dictionary management step: manage the specific reasons for the transfer of pigs between pig houses according to the dictionary management module; Amoeba Pricing Management Steps: Set the price for transferring various types of pigs between different pig houses according to the Amoeba Pricing Management Module; Piggery cost-profit analysis steps: Calculate the total revenue, total cost and profit of the piggery according to the price set by the Amoeba Pricing Management Module; Data analysis and optimization steps: Analyze the data on price setting, transfer records, and user feedback to explore potential market opportunities and improvement points.

9. A computing device, characterized in that It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the aquaculture management method based on the amoeba management model as described in claim 8 are implemented.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the steps of the aquaculture management method based on the amoeba management model as described in claim 8.

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