An analysis method and device of a work order

Abstract

The invention discloses an analysis method and device of a work order. The method includes: obtaining a plurality of target work orders to be analyzed; determining influencing factor data corresponding to each of the job links in each of the target work orders, calling a one-way covariance analysis algorithm and a multi-way variance analysis algorithm to analyze the influence factor data, and determining the time-consuming data of the obtained significant factor data in the operation links corresponding to the significant factor data in the plurality of target work orders; calling a multiple comparison check algorithm to analyze the plurality of the time-consuming data to obtain extreme data; determining a target job conforming to the extreme data as a target job in an abnormal state. Theanalysis result of the invention is based on the method of combining the one-factor covariance analysis algorithm and the variance analysis algorithm to analyze the influence of various factors on thetime-consuming data of the target work order operation link, so the method has objectivity and accuracy, and further provides a more effective basis for the monitoring work.

Description

technical field [0001] The invention relates to the technical field of electric power data, in particular to a work order analysis method and device. Background technique [0002] In recent years, the power business of the State Grid Corporation of China has expanded rapidly. Business expansion and distribution network operation and maintenance are important means to promote the development of power supply enterprises, consolidate high-quality services, improve business quality and corporate benefits. Therefore, business expansion and distribution network operation and maintenance efficiency The supervision work plays a pivotal role. [0003] One of the monitoring tasks is to analyze whether the state of the work order is normal or abnormal. Among them, the work order is a continuous or parallel work plan composed of one or more operation links, which is the basis for assigning tasks and accepting tasks. Each link of business expansion and distribution network operation and...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, human beings rely on experience to evaluate whether the time-consuming data is overtime. If it is determined to be abnormal, the work order is determined to be an abnormal work order. It can be seen that the existing method can only be obtained by artificially analyzing the work order. The objectivity of the results is poor, the subjective arbitrariness is large, and it is seriously affected by human factors, resulting in low accuracy of the work order analysis results, which in turn brings inconvenience to the monitoring work

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