Support system for rush-repair work order distributing of distribution network and optimization method

Abstract

The invention provides a support system for rush-repair work order distributing of a distribution network and an optimization method. The system comprises a database, a Hadoop system, a Mahout system, and a data acquisition system. The database stores data collected and processed by the system. The Hadoop system is used for data calculation and storage. The Mahout system is used for work order data mining and scoring. The data acquisition system is used for collecting real-time association data information of work order distributing. In addition, the method comprises: the data acquisition system obtains work order distributing association data information; the Mahout system carries out integration of data from the data acquisition system and the database and calculates an association score between each work order and each rush-repairing individual; the Hadoop system re checks the score and generates a recommendation list; and a rush-repairing individual is selected from the recommendation list and a work order is sent out. On the basis of calculation of optimal selection, a work order is assigned to a first worker or first vehicle arriving at a rush-repairing site, so that the overall rush-repairing efficiency can be improved.

Description

technical field [0001] The invention belongs to power grid operation and maintenance, in particular to a distribution network emergency repair work order distribution support system and an optimization method. Background technique [0002] At present, in the repair work of distribution network faults, repair stations are set up in advance according to fixed areas, and resources such as repair personnel and vehicles are allocated according to experience, and the allocation is relatively average. After the user reports for repair, the emergency repair work order will be distributed by the emergency repair command center to the emergency repair site according to the address, one-way fixedly, and then the emergency repair station will arrange personnel to go to the scene for emergency repair. Due to the limitations of technical means, when dispatching work orders, the impact of real-time road conditions, emergency repair resources, and the workload undertaken by emergency repair...

AI Technical Summary

Problems solved by technology

During the peak repair reporting period, some emergency repair teams are overloaded with workload. Although the vehicles and personnel are at full capacity, work orders are still incessant, which may easily cause a backlog of work orders and affect the efficiency of emergency repair; waste of repair resources

[0004] 2. Work orders cannot be dynamically dispatched according to traffic conditions

The real-time traffic conditions in each area have a great impact on the repair efficiency. In some cases, although the repair address is relatively close to the fixed repair point in the area, due to traffic congestion, it is actually not as good as the repair point assigned to the adjacent area. The site is faster, and the repair efficiency is greatly affected

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