Abstract
The traditional discriminating of overheat faults of substation equipment by manual calculation is cumbersome, and it fails to deepen the application of the temperature measurement data. Based on the theoretical system of ubiquitous power Internet of things, the paper designed a discrimination and prediction system for overheat faults of substation equipment which were composed of four modules as intelligent data acquisition and analysis terminal, mobile phone client APP, substation equipment inspection management system and the analysis of big data platform by combining cloud, pipe, edge, field and terminal architecture systems. The discrimination and prediction system for overheat faults of substation equipment integrated multi-technology such as IoT communication and identification, cloud computing and storage, big data processing and analysis etc. The analysis results of the system can provide decision support for the intelligent management of substation equipment.
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