Abstract
Monitoring and maintaining equipment and production lines ensure stable production by detecting and resolving abnormalities immediately. In the Industrial Internet, operational technology and advanced information technology are fused to improve the digitalization and intelligence of monitoring and maintenance. This paper provides a comprehensive survey of monitoring and maintenance of equipment and production lines on the Industrial Internet. Firstly, a brief review of its architecture is given, and a reference architecture is summarized accordingly, clarifying the key enabling technologies involved. These key technologies are data collection technologies, edge computing, advanced communication technologies, fog computing, big data, artificial intelligence, and digital twins. For each of the key technologies, we provide a detailed literature review of their state-of-the-art advances. Finally, we discuss the challenges that it currently faces and give some suggestions for future research directions.
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Reference154 articles.
1. Intelligent manufacturing production line data monitoring system for industrial internet of things;Chen;Comput. Commun.,2020
2. Predictive maintenance in the Industry 4.0: A systematic literature review;Zonta;Comput. Ind. Eng.,2020
3. Pech, M., Vrchota, J., and Bednář, J. (2021). Predictive Maintenance and Intelligent Sensors in Smart Factory: Review. Sensors, 21.
4. Optimal replacement policy and inspection interval for condition-based maintenance;Golmakani;Int. J. Prod. Res.,2011
5. A corrective maintenance scheme for engineering equipment;Wang;Eng. Fail. Anal.,2014
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献