Network planning evaluation method for electric power wireless private network

Abstract

The invention discloses a network planning evaluation method of a wireless private network for electric power, which includes acquiring and processing historical DT test data; extracting wireless network characteristics and constructing a data model applicable to the planning area for the area where wireless private electric network planning is required; selecting Several machine learning algorithms train the data model and obtain the training model with the best training results; construct a prediction data set covering wireless network characteristics; input the prediction data set into the training model for prediction, and calculate the quantification of the wireless network planning scheme according to the prediction results Evaluate indicators and perform an evaluation. The invention reconstructs the wireless model according to the local DT data, which is more suitable for the local wireless use environment, and based on the open-source code library, it can further improve the accuracy of the prediction and evaluation of the rationality of the network planning scheme under the condition that the wireless characteristics are as accurate as possible Therefore, the method of the present invention can meet the requirements of the power system, and has high reliability and is 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 in people's production and life, bringing endless convenience to people's production and life. [0003] At present, the development of a safe, reliable and efficient smart grid has become an inevitable trend. The smart grid power distribution business has the characteristics of wide and scattered terminal points, large system capacity, and high requirements for real-time and reliability. Although the optical fiber communication method has the advantages of strong service transmission capability, it is difficult to deploy and construct, and the cost is high, and it cannot meet the full coverage of the ...

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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