Along with the proposal of “Industry 4.0” and “China’s intelligent manufacturing 2025”, the manufacturing industry is now facing an urgent to have an industrial transformation and experience an unavoidable upgrading process, which means that the manufacturing industry is now moving towards the era of intelligent manufacturing. As one of the important part of the mechanical industry, the requirement of the quality control in the precision manufacturing fields is now becoming increasingly much high. It is known that high precision, good quality and high yield are the first choice especially in the mass batching processing production of the same product. Therefore some methods should be taken to realize the high precision,good quality and high yield of mass production of the same product. Then in this paper, a new “Internet of machines” model of intelligent manufacturing system is proposed to monitor each manufacturing unit’s processing state and make a decision to control the manufacturing quality. The “internet of machines” is constructed based on the characteristics of quantitative precision manufacturing and the architecture of smart manufacturing, big data and Internet of things. To construct the “internet of machines”, the relationship among big data, internet of things and precision manufacturing is discussed firstly. Then the technology and system of manufacturing unit processing state and process monitoring are introduced. Thirdly, the acquisition and processing of big data of processing state and the quality control method of intelligent manufacturing unit are introduced in detail.Finally, to satisfy the quality control demand of precision manufacturing in the local manufacturing area, the architecture of the networking machine system of intelligent control and decision making are discussed.
彭云峰,汤期林,童雅芳,王振忠,毕果. 基于单元状态监控的机联网智能制造系统架构设计探析*[J]. 航空制造技术, 2018, 61(12): 16-24.
PENG Yunfeng, TANG Qilin, TONG Yafang, WANG Zhenzhong, BI Guo. Study on Intelligent Internet of Machine Based on Manufacturing Unit Status Monitoring. Aeronautical Manufacturing Technology, 2018, 61(12): 16-24.