Site operation intelligent scheduling method

Abstract

The present invention discloses a site operation intelligent scheduling method. The method comprises the steps of: respectively establishing corresponding mathematic models for a plurality of site operation targets, wherein the site operation targets comprise the shortest task completion time, the highest task completion quality, the highest resource utilization rate, the shortest queuing time andthe most balance load; collecting tasks, personnel and resources in the site operation; randomly generating a plurality of populations according to the tasks, personnel and resources in the site operation; performing numbering of the tasks, personnel and resources in the populations, and generating a plurality of initial chromosome codes; and performing solution of the mathematic models corresponding to the targets according to a preset improved genetic algorithm and the initial chromosome codes, and obtaining an optimal solution as a site operation scheduling scheme. The method can achieve multi-target optimization of site maintenance, the algorithm process of target optimization is simple, and the efficiency of the site maintenance is improved.

Description

technical field [0001] The invention relates to the field of intelligent scheduling, in particular to an intelligent scheduling method for on-site operation and maintenance. Background technique [0002] The rapid development of power communication network requires continuous improvement of its operation and maintenance management level and efficiency, and puts forward more stringent requirements for power communication operation and maintenance management. On-site operation and maintenance is an important part of power communication operation and maintenance work, and the safety, quality and efficiency of its work are directly related to the effectiveness of power communication operation and maintenance work. At present, on-site operation and maintenance generally operate equipment through personnel technology, accumulated experience or long-term accumulated habits, which often lead to habitual violations or violations of safety operation regulations; at the same time, ther...

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Problems solved by technology

[0003] However, in the prior art, usually only one of the on-site operation and maintenance influencing target factors is optimized. For example, a PDA-based on-site operation and maintenance daily work planning method (CN106934484A) records the first, obtaining abnormal point aggregation Generate abnormal work orders and filter abnormal work orders according to the dispatch area; second, calculate the shortest path from the maintenance point to the stagnation point and the mutual shortest path of the abnormal work order, and generate a repeated path matrix; third, generate a preliminary route by scanning the repeated path matrix Linked list to obtain preliminary dispatching routes, and sort them in de

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