基于分布式对象的蛋鸡舍设施养殖数字化智能监测系统

发布时间：2018-06-24 23:38

本文选题：蛋鸡 + 分布式对象　；参考：《农业机械学报》2017年10期

【摘要】：为了在非人为干扰条件下,可实时监测预警蛋鸡生产环境和生产过程,保障动物福利,本文基于可被远程调用的分布式对象的3Tiers物联网软件体系结构,将传感器技术和云技术结合在一起,设计了蛋鸡舍设施养殖数字化智能监测系统。3Tiers物联网软件架构考虑了大量的异构数据集成和对传感器设备的监测、远程交互性能的需求,满足了本研究中对规模化蛋鸡生产过程的研究要求。系统实现了规模化蛋鸡舍的实时生产环境参数采集和视频监控、生产资料管理、生产过程管理、基础信息管理、统计管理、预警设置管理、系统管理和推送管理功能。考虑到温热环境对蛋鸡健康福利和生产性能有着重要的影响,利用系统中的大量环境数据,对中国农业大学上庄实验站大鸡舍内的小气候环境舒适度进行评价,并结合产蛋率、死淘率和耗料,在黄山养殖场对环境舒适度评价进行了验证。通过对上庄鸡舍24 h周期内和2016年11月—2017年4月的环境情况进行分析,结果表明实验蛋鸡舍内的小气候环境温湿指数始终小于70,蛋鸡群始终处于舒适区;而通过对养殖场鸡舍2016年7—10月份的环境数据和生产数据进行分析,验证了当蛋鸡处于舒适区时,产蛋率提升,死淘率下降,耗料更接近标准。
[Abstract]:In order to monitor the production environment and production process of laying hens in real time and protect animal welfare under the condition of non-human interference, the software architecture of 3Tiers Internet of things, which can be called remotely, is used in this paper. Based on the combination of sensor technology and cloud technology, a digital intelligent monitoring system, .3Tiers, is designed, which takes into account a large number of heterogeneous data integration, monitoring of sensor equipment, and remote interactive performance. Meet the research requirements of the production process of laying hens in this study. The system realized the functions of real-time production environment parameter collection and video monitoring, production material management, production process management, basic information management, statistical management, early warning setting management, system management and push management. Considering that the warm and hot environment has an important impact on the health, welfare and production performance of laying hens, using a large amount of environmental data in the system, the comfort of the microclimate environment in the large henhouse at Shangzhuang Experimental Station, China Agricultural University, is evaluated and the laying rate is combined, The environmental comfort assessment of Huangshan breeding farm was verified by the dead scouring rate and material consumption. By analyzing the environment of Shangzhuang henhouse during the period of 24 h and from November 2016 to April 2017, the results showed that the temperature and humidity index of microclimate in the henhouse was always less than 70, and the layer group was always in comfortable zone. By analyzing the environmental data and production data of chicken coop in July and October 2016, it was proved that when the laying hens were in comfortable zone, the laying rate increased, the death rate decreased, and the consumption of food was closer to the standard.
【作者单位】：中国农业大学信息与电气工程学院;中国农业大学网络中心;中国农业大学水利与土木工程学院;
【基金】：国家重点研发计划项目(2016YFD0700204)
【分类号】：S831.45;TP274

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