Temperature regulation and control system and method based on temperature prediction of earthworm breeding environment

By collecting and processing soil temperature and environmental parameters of the earthworm breeding environment, building a feature matrix and training an environmental impact model, the problem of low temperature prediction accuracy in the existing technology is solved, and more accurate temperature prediction and regulation is achieved.

CN119668347AActive Publication Date: 2025-03-21AGRI MACHINERY INST CHINESE TROPICAL ACAD OF SCI +1
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Patent Information

Application Number
CN202510189384.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-20
Publication Date
2025-03-21
Estimated Expiration
2045-02-20

AI Technical Summary

Technical Problem

The prior art fails to fully consider relevant environmental parameters that affect temperature, resulting in a decrease in the prediction accuracy of environmental temperature in earthworm breeding.

Method used

The data acquisition module continuously collects soil temperature and environmental parameters, builds a feature matrix and trains an environmental impact model, generates soil predicted temperature and comprehensive evaluation coefficients, and then performs temperature regulation.

Benefits of technology

The soil temperature prediction accuracy is improved, and the impact of environmental and soil characteristics changes on temperature is truly reflected, achieving more accurate temperature regulation.

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Abstract

The invention provides a temperature regulation and control system and method based on earthworm breeding environment temperature prediction, and relates to the technical field of temperature prediction, and the system comprises a data collection module which is used for continuously collecting soil temperatures at T historical moments at equal time intervals and environment parameters which affect the earthworm breeding soil temperature; the characteristic matrix construction module is used for constructing a characteristic matrix at the same moment, and the environment influence model construction module is used for obtaining a soil prediction temperature; the data analysis module is used for processing the soil characteristic parameters, generating a soil influence coefficient and calculating a suitable coefficient of the soil temperature; and the comprehensive evaluation module is used for integrating the suitability coefficient of the soil temperature and the soil influence coefficient to generate a comprehensive evaluation coefficient so as to evaluate the suitability degree of the soil temperature, and executing a corresponding temperature regulation and control mode according to the coefficient. The method can truly reflect the influence of the environment and soil characteristic change on the temperature, and significantly improves the temperature prediction precision of the earthworm breeding environment.
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