Optical Cable Fault Diagnosis and Auxiliary Decision-making Based on Knowledge Graph

Abstract

The operational status of power communication optical cables is directly related to the safety of power transmission lines and communication systems. Traditional cable maintenance modes face challenges in fault localization. This article proposes a platform for optical cable fault diagnosis and decision support, which is constructed at three levels: the data layer, ontology layer, and application layer. The key aspect of this platform is the utilization of a knowledge graph to map the status of the cable system. The method proposed in this article effectively addresses the pain points of traditional maintenance modes.