The invention provides an intelligent
fault analysis and
management system and method based on
big data, and the method comprises the steps: carrying out the architecture development through employing a Spring Cloud
technology stack, generating a multi-dimensional
fault management platform corresponding to each service
station, carrying out the editing and creation of a manual
library of the service
station through employing the multi-dimensional
fault management platform, and carrying out the analysis and management of the manual
library. Generating a fault identification
list corresponding to each service
station, determining fault features of the corresponding service station according to the real-
time data corresponding to each service station, identifying the corresponding fault features in the fault identification
list, determining fault information corresponding to each service station, and performing
deep mining on the fault information in the multi-dimensional
fault management platform. And determining and displaying the compensation mode corresponding to each service station, thereby effectively solving the problems in the aspects of fault
processing, drawing management,
data analysis, operation and maintenance efficiency and the like in the prior art, and providing powerful support for intelligent operation and maintenance transformation.