Cloud Manufacturing-based Condition Monitoring Platform with 5G and Standard Information Model

Condition monitoring (CM) is the escort of smart manufacturing, which guarantees safety, precision, and efficiency of production process. However, traditional CM capacities with limited storage and computing resources cannot follow the explosive growth of manufacturing data. Empowered by the emerging Internet of Things, Cyber-Physical System, and Cloud Computing, Cloud Manufacturing (CMfg) characterizes a new service-oriented technology, which is reshaping the CM paradigm into an agile, scalable and interoperable mode. In this paper, a CMfg-based CM platform for smart manufacturing is proposed. A 5G wireless communication network based edge computing system is presented to achieve data acquisition, feature extraction and emergency response with ultra-reliability and low-latency communication. In order to deal with the issue of data management and analysis, a generic OPC UA information model oriented to the workshop is proposed in the fog layer. The cloud monitoring platform is constructed encompassing message delivery, data storage, status visualization, and training of artificial intelligence models. Finally, a CMfg-based CM system and a CMfg-based tool wear estimation system are outlined as two industrial cases. The experiments verify the feasibility and effectiveness of the proposed platform.