Workload matching and utility optimization-based intelligent work order dispatching method

Abstract

The invention discloses a workload matching and utility optimization-based intelligent work order dispatching method, and relates to a dispatching method. The operation and maintenance of electricity acquisition systems are insufficient in operation and maintenance ability on one hand and extensive in dispatching on the other hand, so that the problems of long-term operation and maintenance resource shortage and the like are caused. The method comprises the following steps of: obtaining all the abnormal work orders in a dispatching area of a selected dispatching unit according to the selected dispatching unit, and calculating distances from a station to all the abnormal work order points and each abnormal work order point by using a shortest path algorithm; generating a repeated path matrix through a repeated path matrix algorithm; generating a preliminary path chain list through scanning the repeated path matrix, and carrying out descending-order sorting according to total emergency degrees of the paths, wherein the paths with high total emergency degrees are dispatched preferentially; and finally carrying out refined dispatching on the basis of preliminary paths. According to the method, the workload of each dispatching path is saturated and does not exceed a specified workload, the space positions of abnormal points on the dispatched paths are ensured to be compact, the total path length is as short as possible, and the total emergency degrees of the paths are as high as possible.

Description

technical field [0001] The invention relates to a method for dispatching workers, in particular to an intelligent dispatching method for work orders based on workload matching and utility optimization. Background technique [0002] In the current nationwide, due to the lack of quantifiable standards and algorithms for the urgency of various types of faults in the operation and maintenance of power collection systems, there is a lack of accurate dispatching methods that can adjust the workload and eliminate urgency, resulting in the operation and maintenance of power collection systems. There are following deficiencies: [0003] 1) The failure points generated in the system every day cannot establish effective filtering conditions due to the lack of precise dispatching algorithms, and the number of displayed failures far exceeds the operation and maintenance capabilities of various regions; [0004] 2) At present, dispatching workers is based on the subjective work experienc...

AI Technical Summary

Problems solved by technology

[0003] 1) The failure points generated in the system every day cannot establish effective filtering conditions due to the lack of precise dispatching algorithms, and the number of displayed failures far exceeds the operation and maintenance capabilities of various regions;

[0004] 2) At present, the assignment of workers is based on the subjective work experience of the dispatchers. There is a lack of rigorous data support for both the on-site maintenance time and the time spent on the road, which makes the benefits of extensive operation and maintenance of dispatched workers low;

[0005] 3) Due to the extensive dispatch of workers, it is impossible to carry out detailed assessments on operation and maintenance personnel and operation and maintenance units. Now only the successful collection rate can be used as the assessment standard;

[0006] 4) On the one hand, the existing operation and maintenance capabilities are insufficient, and on the other hand, the dispatch of workers is extensive, resulting in long-term shortage of operation and maintenance resources, and the long-term high pressure of operation and maintenance personnel is not conducive to the stability of the operation and maintenance team

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