Train dynamic weighing system and weighing method based on deep learning

Abstract

The invention discloses a train dynamic weighing system and a weighing method based on deep learning. The method comprises the steps of correcting a bridge finite element model in real time based on actually measured bridge structure response information; considering the train-rail-bridge coupling effect and the bridge temperature field, and calculating bridge structure response data under different train load effects; then, training a neural network model by taking the response data and the vehicle speed as input data and taking the train weight, the axle load and the axle distance as outputdata, and verifying the accuracy of a training result based on the bridge structure response data under the known train load effect; and finally, according to the image acquisition instruments at thetwo ends of the bridge, based on a multi-target tracking algorithm, identifying the train speed and the structural response in real time, inputting the train speed and the structural response into theneural network model, and calculating other train load parameters. According to the method, the train load parameters can be quickly and effectively identified, and reference is provided for railroadbridge operation management.

Description

Technical field: [0001] The invention relates to an intelligent train load identification method using a neural network, which is suitable for automatic identification of moving train load parameters based on the structural response of railway bridges, and specifically relates to a train dynamic weighing system and weighing method based on deep learning. Background technique: [0002] Railway is the backbone and one of the main modes of transportation in my country's comprehensive transportation system. Railway bridges, especially long-span railway bridges, as key node projects on railway lines, are the core of railway construction and the key to promoting north-south communication and balanced development between east and west. An important link plays an extremely important role in promoting the coordinated and rapid development of the national economy. But it is worth noting that the construction of my country's railway bridges began in the 1950s, and most of them are facin...

AI Technical Summary

Problems solved by technology

[0003] The load identification of moving trains is a multi-body dynamics problem, involving multiple systems such as vehicles, wheels, rails, and bridges. Multiple systems are coupled to each other, and it is difficult to directly obtain an analytical solution

Scholars at home and abroad usually conduct research on the method of establishing accurate models based on multiple measured data and according to different bridge types, track parameters, and vehicle parameters. This method requires accurate simulation of trains, tracks, and bridges. Real-time identification of parameters

[0004] In addition, the temperature effect has a significant impact on the dynamic response of railway bridges, making it more difficult to identify moving train loads based on bridge structural responses

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