Network planning evaluation method for power wireless private network

Abstract

The invention discloses a network planning evaluation method for a power wireless private network. The method comprises the following steps: acquiring historical DT test data and processing the historical DT test data; extracting wireless network features, and constructing a data model suitable for a planned area for the area needing power wireless private network planning; selecting a plurality of machine learning algorithms to train the data model and obtaining a training model with the best training result; constructing a prediction data set covering the wireless network features; and inputting the prediction data set into a training model for prediction, calculating a quantitative evaluation index of the wireless network planning scheme according to a prediction result, and performingevaluation. According to the method, wireless model reconstruction is carried out according to local DT data, the method is more suitable for a local wireless use environment, and on the basis of an open-source code library, under the condition that wireless characteristics are as accurate as possible, the accuracy of network planning scheme rationality prediction and evaluation can be further improved, therefore, the method can meet the requirements of a power system, and is high in reliability, scientific and reasonable.

Description

technical field [0001] The invention belongs to the field of electrical automation, and in particular relates to a network planning and evaluation method for a power wireless private network. Background technique [0002] With the development of economy and technology and the improvement of people's living standards, electric energy has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. [0003] At present, the development of safe, reliable and efficient smart grid has become an inevitable trend. The smart grid power distribution business has the characteristics of multiple terminal points, wide distribution, large system capacity, and high requirements for real-time performance and reliability. Although the optical fiber communication method has the advantage of strong business transmission capabilities, it is difficult to deploy and construction, and the cost is high, which cannot ...

AI Technical Summary

Problems solved by technology

[0006] At present, the existing signal coverage evaluation system adopts the simulation software based on the wireless propagation model. This kind of software belongs to professional software, which is expensive and is rarely used in district and county branches.

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