Intelligent estimation method for estimated command issuing time of electric power engineering dispatching service

Abstract

The invention, which belongs to the technical field of electric power engineering, discloses an intelligent estimation method for estimated command issuing time of an electric power engineering dispatching service, comprising the following steps: acquiring a target dispatching service type and command environment characteristics; constructing a busy coefficient data mining library; mining busy coefficients based on a weighted naive Bayesian algorithm; calculating predicted order issuing time of the scheduling service based on the historical service time consumption data, and performing visual display; the sample data is supplemented to the service historical information database after the service order is issued; according to the method, meaningless waiting of plant station personnel is reduced, the plant station personnel can flexibly arrange in-station work, the working efficiency of the plant station personnel is improved. Meanwhile, the telephone number of inquiry service process items is greatly reduced, the problems of dispatching and on-site power grid dispatching operation coordination and communication are solved, and the dispatching operation efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of electric power engineering, in particular to an intelligent estimation method for the expected order time of electric power engineering dispatching business. Background technique [0002] The scale of power grid equipment has doubled, the amount of maintenance operations has increased significantly, and the situation of waiting for operations on site frequently occurs. Due to the lack of understanding of the scheduling operation preparation process, the plant personnel often continue to wait for unknown reasons. The site cannot effectively use the waiting time to arrange other work in the station, which affects work efficiency. At the same time, the site will repeatedly inquire about the progress of the scheduling operation, which affects the operational efficiency of the scheduling and further delays the task. In addition, with the continuous deepening of the power market in the southern region, the spo...

AI Technical Summary

Problems solved by technology

The above modules mainly focus on solving the problem of dispatching and displaying dispatching and command information to the scene, but not much attention is paid to the estimation function of business time, or the estimation algorithm is simple and the accuracy is low, which is difficult to meet the forecast of equipment power outage recovery time in the spot market Therefore, more manual corrections are required, which will slow down the dispatching operation efficiency when the business is busy. Therefore, we propose an intelligent prediction method for the estimated order time of power engineering dispatching business

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