An electric power marketing knowledge base system based on an intelligent retrieval technology

Abstract

The invention discloses an electric power marketing knowledge base system based on an intelligent retrieval technology. The electric power marketing knowledge base system is based on a B / S structure as a whole structure and comprises a storage layer, which realizes the classification and storage of knowledge according to standards, and simultaneously comprises a backup storage of the knowledge base; a service layer used to connect storage layer and application layer, including data and data exchange, data quality and other functions and services; an application layer, which is used for displaying the system operation interface and providing relevant application functions for users. The system uses the distributed search engine technology Elasticsearch to realize the real-time retrieval ofbig data. This system puts the application layer on the Web side and the storage layer on the server side; on the basis of convenient operation, effective knowledge wealth summary of massive documentscan be carried out, an orderly document classification system is formed and users can perform convenient document management operation by using the system. The system adopts Elasticsearch to realizereal-time retrieval, and realizes the functions of extremely fast file dynamics, multi-platform file interconnection, intelligent full-text retrieval, customization of personalized rules, class windowoperation and so on.

Description

technical field [0001] The invention relates to an electric power marketing knowledge base system based on intelligent retrieval technology. Background technique [0002] 95598 knowledge is mainly aimed at residential customers, the content is relatively simple, and most of them are distributed in the form of knowledge element structure. The use authority of the State Grid knowledge base management system is only open to the provincial company level. The collection, editing and transmission of 95598 knowledge in the province are all in vitro circulation, and knowledge management has not yet achieved online control. [0003] With the continuous expansion of the current marketing business field, the increase of new businesses, and the continuous improvement of customer requirements for power supply and service levels, the original knowledge collection and submission processes are all offline operations, and online control of knowledge management cannot be completed. The infor...

AI Technical Summary

Problems solved by technology

[0003] With the continuous expansion of the current marketing business field, the increase of new businesses, and the continuous improvement of customer requirements for power supply and service levels, the original knowledge collection and submission processes are all offline operations, and the online control of knowledge management cannot be completed. The information sharing and updating platform cannot cover the whole marketing business

The current knowledge management has problems such as difficult management, slow search, low efficiency, chaotic version management, and inability to effectively collaborate and share.

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