Design and Implementation of the Front End for the Multi-physical Field Mechanism and Deep Learning Fusion Modeling of Substation Equipment Fault Diagnosis Prototype System by Ant Design Vue

The multi-physical field mechanism and deep learning fusion modeling of substation equipment fault diagnosis system is an intelligent tool to analyze the operation faults of the equipment, thus can improve the operation stability of the whole systems. Aimed at the above design problems, this paper provides a design and implementation of the front end for the above fault diagnosis prototype system by the Ant Design Vue. In this paper, the business demand of the whole system is introduced particularly. And then, the design schemes and corresponding implementations are presented minutely. From the results, three prototype pages can be obtained successfully, such as the transformer fault diagnosis service, the breaker fault diagnosis service, and the reactor fault diagnosis service. This paper provides a technical support for the design of the corresponding fault diagnosis systems.