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  • 标题:An Industrial Internet Platform for Massive Pig Farming (IIP4MPF)
  • 本地全文:下载
  • 作者:Mu Gu ; Baocun Hou ; Jiehan Zhou
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2020
  • 卷号:08
  • 期号:12
  • 页码:181-196
  • DOI:10.4236/jcc.2020.812017
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Pig farming is becoming a key industry of China’s rural economy in recent years. The current pig farming is still relatively manual, lack of latest Information and Communication Technology (ICT) and scientific management methods. This paper proposes an industrial internet platform for massive pig farming, namely, IIP4MPF, which aims to leverage intelligent pig breeding, production rate and labor productivity with the use of artificial intelligence, the Internet of Things, and big data intelligence. We conducted requirement analysis for IIP4MPF using software engineering methods, designed the IIP4MPF system for an integrated solution to digital, interconnected, intelligent pig farming. The practice demonstrates that the IIP4MPF platform significantly improves pig farming industry in pig breeding and productivity.
  • 关键词:Massive Pig Farming;Industrial Internet Platform
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