Power Engineering Construction Management Information System Based on Data Mining Algorithm

At present, my country's electric power enterprises are moving towards the stage of informatization and intelligent development, but there are still many problems in the process of electric power engineering construction management, such as the large amount of engineering construction business information, untimely processing, and lack of system in the process of electric power engineering construction. Management, etc. are common problems. How to effectively deal with the information of all aspects of the engineering construction project and make each department complete its own project management work is a key problem to be solved urgently for the managers of electric power enterprises. In this regard, this paper designs a power engineering construction management information system, introduces the decision tree algorithm of data mining technology to design the functional modules of the system, and builds a data warehouse on the basis of data mining technology. This paper uses the LoadRunner test tool to test the performance of the system to form a system evaluation and analysis report, and then realize the information management of the power engineering project by the system administrator through the login module.

I. Introduction

Due to the huge scale of power engineering construction projects, and the fact that power data and information cannot be shared among various departments of the power enterprise, the difficulty of project information management is increased. Therefore, it is necessary to establish a power engineering construction management information system to meet the needs of managers to efficiently manage construction project information.