| With the arrival of big data era,the demand of building smart grid challenges the way how grid text organized and utilized:massive grid text data,especially device error report,need efficient method for mining study value.On the one hand,beside device error report,documents,news and standards of power grid also have reference value.But present data collecting speed cannot satisfy the need.On the other hand,unstructured text data are hard to be accurately searched by content.Thus the text searching efficiency doesn’t match with the scale.It’s hard to make a fast glance in application scenario.Based on the grid device error report management system,this paper introduces the text analysis technology to structurize error reports.Then aiming at the data collecting inefficiency,a multi-node data collecting management mechanism is designed to simplify operations that users deploy distributed data collecting task and to elevate text data collecting speed.In terms of searching inefficiency of structured data,this paper introduces knowledge graph and full-text search engine to achieve highly efficient text searching.Additionally,in discussion of the service organization form how independent deployed modules cooperate,this paper completes the architecture design based on microservices and containerization to realize the service of system function modules and components,solves the problems of service deployment and governance after microservices,and provides users with perfect grid text management services. |