Power distribution network project large-scale review method and system based on big data

Abstract

The invention belongs to the technical field of power distribution networks, and relates to a power distribution network project large-scale review method and system based on big data, and the method comprises the following steps: collecting power distribution network basic data and operation data from a business system and a data middle platform through a data connection module; constructing a problem library in the problem library module, wherein the problem library gathers problems according to two types of equipment of a distribution line and a distribution transformer; generating a demand library through a demand library module; preprocessing the data; establishing a big data review model based on the historical data, inputting the to-be-reviewed project demand list into the big data review model, and automatically calculating a review result through the big data review model; a complaint process; and manually reviewing by experts. According to the method, a whole set of process of problem library-demand library-big data review-expert review is established, expert review is recommended based on a big data review result, large-scale review of a power distribution network project can be realized, the review efficiency and coverage rate are greatly improved, and accurate project approval of the power distribution network is efficiently assisted.

Description

technical field [0001] The invention relates to the technical field of distribution networks, and more particularly, to a method and system for evaluating distribution network projects based on big data. Background technique [0002] As the "last mile" of the power system, the distribution network extends to thousands of households, and its line length, number of equipment, and location are much higher than those of the main network. Therefore, the number of new construction and renovation projects for the distribution network every year is far more than that of the main network. Other project areas face more difficulties in the early stage of project establishment and review of distribution network. [0003] The power distribution network project approval process is highly dependent on offline data. Usually, manual offline collection and sorting of line and equipment data in the planning area are required to investigate the project approval needs of each power supply statio...

AI Technical Summary

Problems solved by technology

However, in the review of provincial-level medium and low-voltage distribution network projects, due to the large number of projects, it is impossible to review one by one, so we can only adopt the method of random inspection in different areas, and the proportion of random inspection is often less than 10%.

The low review coverage rate leads to an increase in the proportion of problems in the later construction process, which affects the effectiveness of project implementation and causes waste of investment

[0005] Improving the quality of project approval data and early review coverage of distribution network projects has a significant positive effect on improving its construction effectiveness. There are two main difficulties. One is that project approval data is submitted offline manually. If you want to check one by one, you need It consumes a lot of human resources; secondly, at the current stage, the establishment of distribution network projects is completely dependent on manual review, and manpower alone is not enough to analyze a large amount of project information. There is an urgent need for a data verification and review method that can cover all projects. Through automatic processing of data information in the process of project approval, batch screening of non-compliance issues, assisting manual large-scale project review

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