农业工程2025，Vol.15Issue(11)：35-42,8.DOI:10.19998/j.cnki.2095-1795.202511305
痛苦反馈与群系中心点选举算法在智能牧群系统中的应用
Application of pain feedback and herding central point election algorithm in intelligent herding systems
CHEN Hanqiang 1YANG Deniu1
作者信息
- 1. School of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing 404100,China
- 折叠
摘要
Abstract
As traditional animal husbandry advances towards digitalization,an intelligent herding system was investigated using pain feedback and herding central point election algorithm to achieve fine-grained monitoring and control.Core server and IoT terminal devices were connected to the same MQTT channel,adopted a unified command format for communication,and enabled visualization through data exchange at web frontend.Each animal was equipped with an IoT terminal device to continuously monitor MQTT channel commands relevant to its status.When an animal deviated beyond permitted radius,pain feedback algorithm would calculate shock in-tervals and pause intervals based on command data,yaw angle,and location information.Stimulus modules on IoT device were posi-tioned in four directions,guiding animals to advance in predetermined directions by applying penalties at varying frequencies.Mean-while,location data uploaded from IoT terminals to core server's cluster center point election algorithm through convolution calculations to calculate optimal herding central point,then encapsulated commands were sent to MQTT channel.Results demonstrated that this net-work architecture reduced coupling,pain feedback mechanism enabled fine-grained animal control,and herding central point election al-gorithm improved herding central point positioning accuracy.关键词
痛苦反馈算法/群系中心点选举算法/智能牧群系统/物联网Key words
pain feedback algorithm/herding central point election algorithm/intelligent herding system/internet of things分类
农业科技引用本文复制引用
CHEN Hanqiang,YANG Deniu..痛苦反馈与群系中心点选举算法在智能牧群系统中的应用[J].农业工程,2025,15(11):35-42,8.
