首页|蛋鸡养殖智能巡检机器人设计概述与应用

蛋鸡养殖智能巡检机器人设计概述与应用

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为改善规模化蛋鸡养殖中人工巡检效率低、劳动强度大等问题,研究设计了一种适用于叠层笼养蛋鸡舍的智能巡检机器人.该巡检机器人配备电源动力系统、控制主机系统、无线通信系统、导航避障系统以及参数采集系统.同时,巡检机器人基于射频识别(RFID)和磁导航技术构建巡检地图并规划路径,实现自主移动和避障;利用EfficientNet-Lite0等深度学习算法识别死弱鸡和绝产鸡,以监测鸡只健康状态;通过SQL Server技术开发数据集成管理系统整合分析舍内采集数据,实现对鸡舍养殖环境、鸡只健康等信息的实时感知与预警.在福建光阳蛋业渔溪养殖基地示范应用结果表明,巡检机器人能根据指令自主巡检,提高养殖人员巡检效率75%.研究表明,智能巡检机器人可有效降低劳动强度,并保障蛋鸡健康和生产性能,具有较好的应用和推广价值.
Design Overview and Application of Intelligent Inspection Robots for Laying Hen Farming
To address the issues of low inspection efficiency and high labor intensity in large-scale laying hen farming,an intelligent inspection robot suitable for stacked cage laying hen houses was designed.The inspection robot is equipped with a power supply system,a control host system,a wireless communication system,a navigation and obstacle avoidance system,and a parameter acquisition system.At the same time,the inspection robot builds inspection maps and plans the path routes based on radio frequency identification(RFID)and magnetic navigation technology to achieve autonomous movement and obstacle avoidance.Deep learning algorithms such as EfficientNet-Lite0 were used to identify weak,dead and non-laying hens,monitoring the health status of the flock.Using SQL Server technology,a data integration and management system was developed to integrate and analyze the data collected from the poultry house,providing real-time monitoring and alerts on the farming environment and flock health.The demonstrative application results at the Yuxi Breeding Base of Fujian Guangyang Egg Industry showed that the inspection robot could carry out independent inspections according to instructions,increasing the inspection efficiency of breeding personnel by 75%.The results indicated that the designed intelligent inspection robot effectively reduced labor intensity and ensured the health and production performance of the laying hens,demonstrating significant potential for application and promotion.

caged layerhealth behavior monitoringbreeding robotimage recognitionInternet of Thingsfacilities feeding

蒋沅均、刘红光、余立扬、廖新炜、余劼、陈宇佳、刘畅、秦文祥、郑炜超

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中国农业大学水利与土木工程学院,北京 100083

农业农村部设施农业工程重点实验室,北京 100083

诸城市中裕机电设备有限公司,山东诸城 262202

福州木鸡郎智能科技有限公司,福建 福州 350014

福建光阳蛋业股份有限公司,福建 福州 350303

北京市畜禽健康养殖环境工程技术研究中心,北京 100083

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笼养蛋鸡 健康行为监测 养殖机器人 图像识别 物联网 设施养殖

2025

中国家禽
中国畜牧业协会 中国农科院家禽研究所 江苏省家禽科学研究所

中国家禽

北大核心
影响因子:0.482
ISSN:1004-6364
年,卷(期):2025.47(2)