A method and system for expressway intelligent pre-maintenance based on artificial neural network

Abstract

The present invention relates to a kind of expressway intelligent pre-maintenance method based on artificial neural network, comprising the following steps: step 1, collecting the input characteristics and output characteristics of the first layer of artificial neural network; step 2, establishing the first layer of artificial neural network, training Obtain the neural network model of the causal relationship between road condition data and road damage data; step 3, establish a second-layer decision tree model; step 4, form a two-layer neural network model with time series from road condition data to maintenance decisions The algorithm is optimized; step 5, according to the optimization algorithm of step 4, get the specification between road surface damage parameters and road pre-maintenance decision. The invention can improve the prediction accuracy and prediction efficiency and the forward-looking of the prediction.

Description

technical field [0001] The invention belongs to the technical field of road maintenance, and relates to an intelligent expressway maintenance method, in particular to an artificial neural network-based intelligent pre-maintenance method and system for an expressway. Background technique [0002] In order to repair and maintain the highway pavement, the pavement maintenance management department of our country not only consumes a lot of manpower but also consumes a lot of financial resources. Adjust the previous pavement maintenance method, from the previous maintenance method of repairing the pavement after damage to the preventive maintenance of the pavement, slow down the damage of the pavement, and reduce the waste of manpower and funds for pavement maintenance. [0003] For the traditional expressway maintenance, it has not yet become a system. For the annual road routine monitoring and monitoring of special road sections, image analysis, index calculation and evaluation...

AI Technical Summary

Problems solved by technology

[0003] For the traditional expressway maintenance, it has not yet become a system. For the annual road routine monitoring and monitoring of special road sections, image analysis, index calculation and evaluation often have a lag; for the recorded data to be stored separately, there is no special Systematic and organized data storage platform, the old data is easy to lose, and it is difficult to export the data; the analysis data method is traditional, the accuracy is not high, the consideration is single, and there is no accurate local pre-maintenance specification to follow

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