Online monitoring system and method for baby chick feeding

By designing an online monitoring system integrating data collection, data analysis, intelligent decision-making and execution control modules, the problem of lack of intelligent decision-making and dynamic adjustment capabilities in the existing technology is solved, and the intelligence and automation of chicken feeding management is realized, and the scientificity and effectiveness of management are improved.

CN119631930APending Publication Date: 2025-03-18SICHUAN ANIMAL SCI ACAD
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Patent Information

Application Number
CN202411718618.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The existing monitoring system for feeding chickens lacks intelligent decision-making capabilities based on data analysis, and cannot automatically generate feeding management plans based on environmental changes and chickens' growth needs. The generation and execution of control instructions rely on manual judgment or simple preset rules, and lacks dynamic adjustment capabilities.

Method used

An online monitoring system including data acquisition, data analysis, intelligent decision-making and execution control modules is designed. Through multiple groups of sensing devices, the data is analyzed using deep learning and intelligent prediction models. The intelligent decision-making module intelligently recommends feeding management solutions and generates control instructions based on the analysis results, and the execution control module executes these instructions to adjust the device status.

Benefits of technology

The intelligence and automation of feeding management have been realized, and the feeding management plan can be intelligently recommended based on the growth stage and environmental conditions of the chick seedlings, which has improved the scientificity and effectiveness of feeding management.

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Abstract

The invention relates to the field of baby chick feeding monitoring, in particular to an online monitoring system and method for baby chick feeding. The technical problems are that a baby chick feeding monitoring system in the prior art lacks intelligent decision-making ability based on data analysis, cannot generate a management scheme according to environmental changes and baby chick growth requirements, and lacks ability of dynamic adjustment according to real-time data; according to the technical scheme, the online monitoring system for baby chick feeding comprises a data analysis module, an intelligent decision module and an execution control module; according to the baby chick growth stage, the current environment condition and the analysis result of the intelligent algorithm, the feeding management scheme is intelligently recommended, the corresponding control instruction is generated, feeding management intelligence and automation are achieved, a large amount of data are processed and analyzed through deep learning and an intelligent prediction model, and the feeding management efficiency is improved. The trend and rule of environmental parameter change can be found, a scientific decision basis is provided for feeding management, and the scientificity and effectiveness of feeding management are improved.
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