农业机械学报2017，Vol.48Issue(10)：292-299,8.DOI:10.6041/j.issn.1000-1298.2017.10.037
基于分布式对象的蛋鸡舍设施养殖数字化智能监测系统
Intelligent Monitoring System Based on Distributed Object for Layer House
摘要
Abstract
In view of the present situation that the development of the layer breeding industry from scattered to intensivc and large-scale,the traditional breeding methods cannot meet the requirements of the development.In order to real-time monitor and early warn the egg production environment and the production process of laying hens under the conditions of non-human interference,as well as the protection of animal welfare,3Tiers,the networking software architecture based on distributed objects that can be called remotely,combining the sensor technology and cloud technology,was used to develop layer house real-time monitoring system.3Tiers networking software architecture took integration of large amounts of heterogeneous data,the demand of monitoring sensors and remote interactive performance with sensors into consideration,which totally met the requirements of scaling farming.The system realized scaling layer house real-time production environment parameters acquisition and real-time video monitoring,production management,production process management,basic information management,statistical management,early warning management,system management and push management functions.Considering the thermal environment had an important impact on the health and welfare of laying hens and production performance.A large number of environmental data in the system was used to evaluate the microclimate environmental comfort in China Agricultural University Shangzhuang Station.Then egg production rate,death rate and feed consumption of a henhouse in Huangshan were used to verify the evaluation of the environmental comfort.The results showed that during the 24 h cycle and the whole period from November 2016 to April 2017,the value of the microclimate environment in the layer house of Shangzhuang Station was less than 70,which meant that the group of laying hens was always in the comfort zone.With the environmental data and production data analysis of a henhouse from July to October of 2016,it verified that when laying hens were in comfort zone,laying rate was increased,the death rate was decreased,and the feed consumption was more close to the standard.关键词
蛋鸡/分布式对象/物联网/环境舒适度/实时监测Key words
laying hens/distributed objects/Internet of things/environmental comfort/real-time monitoring分类
农业科技引用本文复制引用
孟超英,王佳,陈红茜,李辉,张雪彬..基于分布式对象的蛋鸡舍设施养殖数字化智能监测系统[J].农业机械学报,2017,48(10):292-299,8.基金项目
国家重点研发计划项目(2016YFD0700204) （2016YFD0700204）
