陈红茜,滕光辉,邱小彬,孟超英,曹晏飞,汪成.基于分布式流式计算的蛋鸡养殖实时监测与预警系统[J].农业机械学报,2016,47(1):252-259.
Chen Hongqian,Teng Guanghui,Qiu Xiaobin,Meng Chaoying,Cao Yanfei,Wang Cheng.Real-time Monitoring and Early Warning System Based on Stream Computing for Laying Hens Raise[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(1):252-259.
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基于分布式流式计算的蛋鸡养殖实时监测与预警系统   [下载全文]
Real-time Monitoring and Early Warning System Based on Stream Computing for Laying Hens Raise   [Download Pdf][in English]
投稿时间:2015-07-13  
DOI:10.6041/j.issn.1000-1298.2016.01.034
中文关键词:  蛋鸡  流式计算  分布式  实时监测  预警系统
基金项目:“十二五”国家科技支撑计划项目(2014BAD08B05)
作者单位
陈红茜 中国农业大学 
滕光辉 中国农业大学 
邱小彬 中国农业大学 
孟超英 中国农业大学 
曹晏飞 西北农林科技大学 
汪成 中国农业大学 
中文摘要:为实现蛋鸡养殖生产过程参数实时监测与预警,研发了基于分布式流式计算框架Data Canal的蛋鸡养殖实时监测与预警系统。Data Canal是面向数据流的分布式计算框架,使用控制流集中、数据流分散的模型,以分布式文件系统为中间结果的存储,支持异地多数据源的实时采集和处理。系统以Data Canal为基础设施,在具有一定扩展性的情况下,保证实时性。系统采用Brower/Server模式,用户通过浏览器即可访问,提升了信息共享的便捷性。系统实现了规模化蛋鸡生产过程实时数据采集与展示、生产信息管理、实时预警、决策分析和系统管理功能,对蛋鸡养殖全生命周期进行了全方位的管理。运行效果表明,该系统可以解决规模化蛋鸡生产过程中产生海量数据信息化和实时处理问题,在部署8台机器的情况下,Data Canal集群的处理能力峰值达到160MB/s,延迟在分钟级别,在线上实验环境中,Data Canal集群每天处理约25GB的数据,而且系统后期维护和升级都极为便利。
Chen Hongqian  Teng Guanghui  Qiu Xiaobin  Meng Chaoying  Cao Yanfei  Wang Cheng
China Agricultural University,China Agricultural University,China Agricultural University,China Agricultural University,Northwest A&F University and China Agricultural University
Key Words:laying hens  stream computing  distributed  real-time monitoring  early warning system
Abstract:With the rapid development of computer technology, its possible to process multi type and mass data real timely. In order to achieve real time monitoring and early warning in laying hen raise, a system based on a distributed streaming computing framework “Data Canal” was developed. Data Canal is a data flow oriented distributed computing framework with the control flow and data flow dispersion model, which using the distributed file system as the storage of intermediate result, supporting real time acquisition and processing multiple remote data sources. Data Canal is the basic facility of the system, which ensures the extend and real time processing of system. The system was developed in Browser/Server mode. The users can access the system through the browser, which improves the convenience of informatization sharing. The system realizes real time data acquisition and display, production information management, early warning, decision analysis, and system management functions. The result shows that the system solves the problem of information and real time processing of mass data in laying hens raise. In the case of eight machines, the highest throughput of Data Canal cluster reaches 160MB/s, and the delay is at the minute level. In the online experiment, the Data Canal cluster processeed about 25GB of data every day. The maintenance and upgrade of system are convenient. Further research will be done on the mobile client.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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