Metro stray current leakage level prediction method based on convolutional neural network and BP neural network

Abstract

The invention discloses a metro stray current leakage level prediction method based on the convolutional neural network and the BP neural network. The metro stray current leakage level prediction method includes the following steps that 1, the earth resistivity and polarization potential measuring position is determined in a section, and prediction model input data is collected; marticulated processing is conducted on the data of the three affecting factors including the earth resistivity, bury pipeline depth and bury pipeline polarization potential which affect stray current leakage; a convolutional neural network prediction model is used for predicting the single point kinetic stray current leakage level; the BP neural network is used for comprehensively predicting the stray current leakage level in the section; the prediction model based on the convolutional neural network model and the BP neural network is used for predicting test data. The stray current leakage level in the section can be effectively predict through easy-to-detect data, and the prediction precision of the system during long-time monitoring is ensured, which is of important actual significance in visually monitoring the stray current leakage condition.

Description

technical field [0001] The invention relates to a method for predicting the leakage level of subway stray currents, in particular to a method for predicting the leakage level of subway stray currents based on a convolutional neural network and a BP neural network. Background technique [0002] With the rapid economic growth and the acceleration of my country's urbanization process, the backbone role of urban rail transit in urban public transportation has become increasingly prominent. Metro DC traction system is the main force of urban rail transit, which is of great significance to alleviate urban traffic congestion and promote social development. Stray current is one of the negative impacts of the operation of the subway DC traction system. It will cause electrochemical corrosion to buried metal pipelines and underground concrete structures inside and outside the system, shorten the service life of related equipment, and threaten system operation and personal safety. The...

AI Technical Summary

Problems solved by technology

For stray current leakage, direct monitoring can be carried out by measuring the size of the stray current leakage level in the interval. High, and the existing DC traction power supply system needs to be modified during measurement, so the total leakage in the interval is generally not selected as the main parameter for stray current monitoring

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