An Industrial Case Study on the Monitoring and Maintenance Service System for a Robot-Driven Polishing Service System under Industry 4.0 Contexts

Author:

Yang Yuqian1,Yang Maolin1ORCID,Shangguan Siwei1,Cao Yifan1,Yue Wei1,Cheng Kaiqiang2,Jiang Pingyu1ORCID

Affiliation:

1. State Key Laboratory of Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710054, China

2. Shandong Cloud Imagination Technology Co., Ltd., Yantai 264000, China

Abstract

Remote monitoring and maintenance are important for improving the performance of production systems. However, existing studies on this topic usually focus on the monitoring and maintenance of the working conditions of the equipment and pay relatively less attention to the processing craft and processing quality. In addition, as far as we know, there are relatively few industrial case studies on the real applications of remote monitoring and maintenance systems that include both conventional and advanced maintenance techniques under the context of Industry 4.0. Addressing these issues, an industrial case study on the monitoring and maintenance service system for a robot-driven carbon block polishing service system is presented, including its application background and engineering problems, software/hardware architecture and running logic, the monitoring and maintenance-related enabling techniques, and the configuration and operation workflows of the system in the form of screenshots of the functional WebAPPs of the software system. The case study can provide real examples and references for the industrial application of remote monitoring and maintenance service systems on industrial product service systems under the context of Industry 4.0. Advanced techniques such as the Industrial Internet of Things, digital twins, deep learning, and edge/cloud/fog computing have been applied to the system.

Funder

Shandong Yantai Development Zone Innovation and Entrepreneurship Leading Team Project

Xi’an Jiaotong University

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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