基于母猪饲喂专家系统的群养母猪智能饲喂物联网系统设计  

Study on internet of things system design for intelligent feeding of group sows based on sow feeding expert system

作　　者：潘秦 刘星桥[1] PAN Qin;LIU Xingqiao(College of Electrical&Information Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏大学电气信息工程学院,江苏镇江212013

出　　处：《黑龙江畜牧兽医》2021年第10期41-49,共9页Heilongjiang Animal Science And veterinary Medicine

基　　金：江苏省农业科技自主创新项目(CX(16)1006);江苏省农业科技支撑项目(BE2013402)。

摘　　要：为了实现群养母猪饲喂量最优化及饲喂状况远程监控,从而达到控制能繁母猪体况、提高繁殖能力的目的,缓解近年来生猪存栏量骤降的问题,试验基于物联网和母猪饲喂专家系统设计了群养母猪智能饲喂物联网系统。终端采集设备实时获取耳标号与猪舍温湿度等信息,通过LoRa星型网络将各子节点的数据包集合于汇聚节点,然后由GPRS模块上传至云服务器。云端部署的上位机监控程序可查看母猪身份信息、饲喂采食信息和环境温湿度,且可通过数据库查询相关历史数据。母猪饲喂专家系统基于Doorls规则引擎开发,利用Rete算法自动匹配规则,推理出适宜该母猪的当日最佳饲喂量。上位机将决策结果反馈给控制模块,由饲喂器进行精准投喂。经检验,下料量平均相对误差为1.10%,满足高精度投料需求。对比限位栏和群饲小圈舍母猪,该系统饲喂的妊娠母猪平均采食量更贴近合理值,体重和背膘厚控制在理想范围内的比例明显更高,每胎平均产健仔数约提升0.3头。说明该系统传输准确性高、实时性好,符合规模化猪场的实际应用需求。In order to achieve the optimization of the feeding amount of group sows and the remote monitoring of feeding condition,so as to control the body condition of the capable sows,improve the reproductive capacity,and alleviate the problem of the sharp decline in the number of live pigs in the past year,an intelligent feeding Internet of things system for group sows based on Internet of things and sow feeding expert system was designed.The terminal device obtained the ear tag number and the temperature and humidity of the pig house in real time.The data packets of each child node were collected at the aggregation node through the LoRa star network,and then uploaded to the cloud server by the GPRS module.The monitoring program of the upper computer deployed in the cloud can view the identity information of the sow,feeding information and environmental temperature and humidity,and can query relevant historical data through the database.The expert system was developed based on the Doorls rule engine and inferred the optimal daily feed amount for the sow by automatic matching rules of Rete algorithm.The upper computer feeds back the decision results to the control module,and the feeder feeds accurately.The average relative error of feed volume is 1.10%through the inspection,which meets the demand of high-precision feeding.Compared with the sows in the limited rail and in small pigpen,the average feed intake of pregnant sows fed by this system was closer to the reasonable value,the proportion of sows whose weight and backfat thickness controlled within the reasonable range was significantly higher,and the average number of healthy piglets per birth is increased by about 0.3.The results indicated that the system had high transmission accuracy and good real-time performance,which met the practical application requirements of large-scale pig farms.

关 键 词：物联网平台 专家系统 Doorls规则引擎 群养母猪 精确饲喂 远程监控 

分 类 号：S818.9[农业科学—畜牧学]