Multi-dimensional optimized electric power work order intelligent distribution method

Abstract

The invention discloses a multi-dimensional optimized electric power work order intelligent distribution method, and solves the technical problem of how to consider optimization of service cost, service quality and service efficiency. The method comprises steps of acquiring a maintenance order, and dividing the maintenance order into an emergency order and a retention order according to an order classification rule; if the order is an emergency order, immediately sending the order to a work order arrangement module; if the order is a detention order, sending the detention order to a work order distribution module within a specified time T; enabling a work order distribution module to carry out order distribution on the maintenance order; screening an optimal path on a work order map, so that a worker receives the order at each fault position, and a total path traversing the fault positions is shortest; and then, generating an electric power work order matched with a corresponding worker for each maintenance order according to the optimal path, and sending the electric power work order to the corresponding worker. Multi-dimensional optimization assignment of the electric power work order is rapidly realized, and the existing electric power work order assignment pattern is expected to be changed.

Description

technical field [0001] The invention relates to the technical field of electric power service and management, in particular to a method for dispatching electric work orders. Background technique [0002] With the development of society, people are more and more dependent on electricity consumption. When the power system fails, it becomes more urgent to submit a power work order for maintenance staff to inspect and repair in time. However, the power work orders of power grid companies are generally processed manually. In the process of dispatching and processing, it depends on the overall planning ability of the arranger, which has the characteristics of great uncertain factors, and it is necessary to deal with sudden work orders. The effect of emergency treatment is not good. [0003] Due to the large number of power work orders, and the distribution of power work orders is mostly manual operation, it is difficult to reasonably assign each work order under the premise of co...

AI Technical Summary

Problems solved by technology

However, the power work orders of power grid companies are generally processed manually. In the process of dispatching and processing, it depends on the overall planning ability of the arranger, which has the characteristics of great uncertain factors, and it is necessary to deal with sudden work orders. The effect of emergency treatment is not good

[0003] Due to the large number of power work orders, and the distribution of power work orders is mostly manual operation, it is difficult to reasonably assign each work order under the premise of comprehensively considering the type of work order appeal, geography, traffic, urgency, cost and other information within a limited time. For an electrical work order, although some computer-based order distribution methods have gradually appeared in the existing technology, there are still four problems in the process of dispatching the order: one is that manual participation is required, and it cannot be fully automated; It is impossible to identify the attribution of work orders for fault repairs at the intersections of supply areas, and work orders are transferred between supply areas, which affects the efficiency of order dispatching and emergency repairs; third, the current order dispatch algorithm does not pay attention to customer demands, and does not combine work order content with multiple The information evaluates the urgency of customer demands, the risk of public opinion, and the difficulty of troubleshooting; the fourth is that it cannot dynamically monitor the total amount of repairs, initiate early warnings and assist various units in the allocation of emergency repair service resources

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