Design and Application of Condition Monitoring System for Distribution Substation Based on Integrated Sensing Technology

Recently, the intelligent construction of distribution station is still in its infancy. Information is not fused between different monitoring systems. The current investment in distribution network detection means is large, which does not match the low-cost characteristics of distribution network equipment. So information isolation and high cost are the two main restrains of condition monitoring. Aiming at solving these problems, this paper proposes a new monitoring system for power distribution station in the context of the ubiquitous power Internet of things. Firstly, the overall design of the system is studied. A highly integrated comprehensive monitoring terminal is developed, based on the idea of integrated perception. It can reduce monitoring and communication costs through the flexible access and efficient processing of key state parameters such as sound, light, electricity, and heat. Secondly, algorithms are developed for evaluation and diagnosis of power distribution equipment. Artificial intelligence and big data analysis methods were used for condition evaluation and anomaly detection. It improves the efficiency of fault handling. Finally, the monitoring systems are applied in some power distribution stations. After a period of application, the system cross-professional data are fully integrated and multiple state parameters are obtained in real time for comprehensive application. In conclusion, this work can provide new solutions for the construction of intelligent power distribution stations.