摘要
针对当前市面上的方舱猪舍猪只缺乏综合管理和对个体的精准饲养,设计基于多传感器的方舱猪舍猪只采食行为分析系统。首先通过RFID技术建立猪只档案,识别猪只的身份信息;然后采用基于改进的自适应的高斯混合模型的猪只运动判别算法,判断猪只是否进入采食区域;最后通过称重传感器获取猪只的采食数据。通过上述方法系统能够准确锁定采食猪只的身份以及采食时间、采食频率、采食量。为验证系统的可行性,设计四因素三水平试验,探究读写器功率、标签靠近速度、射频频率、标签靠近方向对RFID识别效果的影响。试验结果表明:读写器功率为27 dBm、标签靠近速度慢、射频频率为920.75 MHz、标签靠近方向为横向会使得电子标签在距离天线0.5 m的范围内识别效果最好。同时进行猪只个体的饲喂测定试验,发现系统的误差为0.08%~0.1%,能够满足猪场的使用要求。
In view of the lack of comprehensive management and precise feeding of individual pigs in the shelter pig house on the current market,a multi-sensor based pig feeding behavior system for the shelter pig house is designed.First of all,The pig files are established based on RFID technology to identify the identity information of the pigs,then the pig movement discrimination algorithm based on the improved adaptive Gaussian mixture model is used to judge whether the pigs enter the feeding areas,finally,the feeding data of pigs are obtained by weighing sensors Through the above-mentioned system,the identity,feeding time,feed intake and feed intake amount of the feeding pigs can be accurately locked.In order to verify the feasibility of the system,a four-factor and three-level experiment is designed to explore the effects of reader power,tag approach speed,radio frequency,and tag approach direction on the RFID recognition effect.The test results show that the reader power is 27 dBm,the tag approach speed is slow,the radio frequency is 920.75 MHz,and the tag approach direction is horizontal,which will make the electronic tag identify the best within the range of 0.5 m from the antenna.At the same time,a pig individual feeding test is carried out,and the test shows that the error of the system is 0.08%-0.1%,which meets the requirements of the pig farm.
作者
刘广同
曹淑楠
杨万林
刘橙
何金成
Liu Guangtong;Cao Shunan;Yang Wanlin;Liu Cheng;He Jincheng(College of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou,350002,China)
出处
《中国农机化学报》
北大核心
2023年第9期176-182,213,共8页
Journal of Chinese Agricultural Mechanization
基金
福建省星火项目(2020S0002)。
