Train wheel maintenance management system based on digital twinning technology

Abstract

The invention relates to a train wheel maintenance management system based on a digital twinning technology, which is used for realizing state monitoring and maintenance guidance of train wheels, and comprises an environment sensing module, a virtual-real fusion module, a man-machine interaction module, an Internet of Things platform, a physical space module and a virtual space module, wherein the physical space module comprises actual wheel data of a train; the Internet of Things platform builds a prediction maintenance model through the actual wheel data and builds a digital twinning model in the virtual space module, the environment sensing module is used for obtaining maintenance workshop information; the virtual-real fusion module performs virtual-real fusion according to the maintenance workshop information and the prediction maintenance model to obtain fused maintenance information; the man-machine interaction module obtains fusion maintenance information of the digital twin model and the virtual-real fusion module, and provides train wheel health state monitoring and train wheel maintenance schemes for maintenance personnel. Compared with the prior art, the method has the advantages of reducing the operation and maintenance cost and the like.

Description

technical field [0001] The invention relates to the technical field of rail vehicles, in particular to a train wheel maintenance management system based on digital twin technology. Background technique [0002] As one of the stress-bearing parts of the subway train, the wheel is subjected to friction, collision, cyclic stress, and high and low temperature for a long time during the running of the train. At the same time, the short interval between the two stations determines that the vehicle needs to brake frequently. Therefore, the wheel must Wear will occur, and even abnormal wear often occurs, such as wheel diameter wear exceeding the limit, polygon wear, flat scars, cracks, wheel tread abrasion and peeling, and wheel rim wear, etc. These abnormal wear will cause abnormal sliding of the wheel and wheel rail The vibration between the trains will intensify, and in severe cases, problems such as train derailment may occur, which will affect the ride comfort and operation saf...

AI Technical Summary

Problems solved by technology

However, due to the complex mechanism of wheel wear, many influencing factors to be considered, the uncertainty of the train operating environment, and strong dynamic characteristics, the real-time performance of these two traditional modeling methods is not strong.

[0004] The existing economical wheel repair strategy is mainly formulated by experts based on years of accumulated experience. First, the repair cycle suitable for a certain line is determined, and then the maintenance plan and the number of spare parts are determined. However, this maintenance method is regular, Planned, the obtained scheme is single, the factors and scope of consideration are limited, and dynamic adjustment cannot be made according to the actual state of the wheel and the actual demand for spare parts, which may easily lead to over-repair or under-repair of the wheel

At the same time, the existing wheel maintenance method is still mainly based on manual operation of the non-falling wheel lathe, and the practical training of the maintenance personnel is carried out on the lathe, which requires a lot of cost in the training stage. It is difficult to obtain the health status of train wheels at any time

[0005] Generally speaking, in the existing technology, the health status of train wheels cannot be accurately predicted in real time, the maintenance and repair strategy of train wheels is not optimized enough, and the operation and maintenance costs are high

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