Intelligent Diagnosis of Acquisition Equipment Failure Promote "Multi-integration" Application

• Published in: Journal of physics. Conference series 2020-04, Vol.1486 (7), p.72044
• Main Authors: Wu, Qiutong, Kang, Liyan, Cao, Bing, Shang, Ying, Zhang, Muxin, Liu, Xinran, Zhou, Haishan, Liu, Wenyu
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Data analysis; Failure analysis; Fault detection; Fault diagnosis; Maintenance; Physics; Qualitative analysis; Troubleshooting; Water meters; Workflow
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1486/7/072044

The information collection system of State Grid Corporation has accessed a large number of smart energy meter, water meter, gas meter and heat meter data, implemented the "multi-integration" collection and construction to improve the public service level of the society, and actively respond to the call for government smart city construction. However, many operating equipment and complex operating environments often generate various equipment failure problems. It is difficult to identify faults and has low efficiency in troubleshooting. The intelligent diagnosis of the collection equipment fault is based on various information such as operation and maintenance, environment, fault analysis and acquisition. It uses big data analysis and artificial intelligence technology to conduct Intelligent Diagnosis Model of Acquisition Fault research, so as to solve the accurate judgment of the failure of the collection device, qualitative analysis of equipment fault and on-site, workflow troubleshooting guidance issues. Using the intelligent diagnosis of faults to solve the problem of "multi-integration" collection and maintenance, it can effectively improve the efficiency of fault handling, better promote the application of "multi-integration" and promote the construction of smart cities.