An intelligent and precise feeding method and system based on a pig farm pen and a matching device

By installing aisle scales and RFID identification systems in pig farm pens, and combining environmental control data and intelligent diagnostic models, the feed ratio can be dynamically adjusted, solving the problem of precise nutritional regulation in existing automated feeding systems for pig farms, and improving the health management of pig herds and the precision of equipment.

CN122250416APending Publication Date: 2026-06-23NINGBO PRESON NUTRITION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610196764.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-11
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing automated feeding systems in pig farms cannot achieve precise nutritional regulation, lack intelligent early warning and closed-loop feedback based on multi-source data fusion, resulting in lagging pig health monitoring, insufficient response to nutritional needs, low equipment feeding accuracy, and serious accumulation of errors.

Method used

The system uses aisle scales combined with RFID to identify the weight and identity of pigs, and combines this with data from the environmental control system to establish a multi-dimensional nutritional requirement model. It also uses LSTM and CNN to build a health diagnosis system, dynamically adjusts the feed ratio, and uses motor pulse calibration to achieve precise feeding.

Benefits of technology

It enables continuous and accurate weighing and identification of pigs, dynamically adjusts nutritional needs, improves the health management of pig herds, reduces feed waste, and ensures long-term stable and reliable operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an intelligent precise feeding method and system based on pig farm pens and matching equipment, and relates to the technical field of livestock feeding. The weight of pigs in each pen of a pig farm, the environmental indexes of pig houses, and health indexes obtained by evaluating health abnormal events according to the weight and feeding conditions of the pigs, the remaining material conditions, and the inspection robot are brought into an existing nutrition model, so that the precise nutrition requirement of each pen per day is obtained. In addition, the unified calibration of the feeding motors of each pig house unit is completed according to a strategy, and after the precise calibration value of the number of steps of the feeding motor per step is obtained, the intelligent feeding equipment of each pen can dynamically generate a discharging strategy according to three parameters of the feed ratio, the feeding calibration value and the amount of discharging each time, and execute the differentiated, precise and fine discharging of pigs in each pen. The intelligent dynamic modeling of nutrition requirements and the health closed-loop regulation are realized, and the whole process precise control from formula generation to feeding execution is completed.
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