Subway train performance evaluation system construction method based on digital twinning

Abstract

The invention discloses a subway train performance evaluation system construction method based on digital twinning, and the system starts from the perspective of virtual-real mapping, carries out theconstruction through three dimensions: model mapping, behavior mapping and state mapping, and achieves the application service in a cloud-side cooperation mode. Wherein the model mapping is divided through a hierarchical network, and a digital model of a road network, a train and a component hierarchy is established; the behavior mapping abstracts the train operation process into behaviors, and visual display is performed through visual simulation and multi-level monitoring; the state mapping integrates a computing environment, an algorithm model and engineering software, and provides servicefor deep state analysis of the train; and a vehicle-mounted and ground center cooperation mechanism is established in a cloud edge cooperation mode, and personalized monitoring services with differenttime periods and different precisions are completed. According to the method, the actual running state of the subway train can be fully restored, the transparency, timeliness and comprehensiveness oftrain monitoring can be improved, the sharing of train data can also be improved, and a running scheduling strategy can be conveniently made from the perspective of a whole road network.

Description

technical field [0001] The invention belongs to the field of operation and maintenance of subway trains, and in particular relates to a construction method of a subway train performance evaluation system based on digital twins. Background technique [0002] Digital twin is a means to realize the real digital mirror image of physical objects in virtual space. Analyze and predict, and finally feed back to the physical object to achieve transformation and optimization. The application of digital twin is comprehensive, systematic, intuitive, real-time and efficient. [0003] As an important means of transportation in modern cities, subways are of great significance to evaluate their performance, monitor their real-time operating status, and ensure their safe operation. With the rise of information technologies such as the Internet of Things, big data, and artificial intelligence, the traditional train operation is transforming from passive safety to active safety, and the mana...

AI Technical Summary

Problems solved by technology

[0006] (1) The development of train operation and maintenance towards comprehensive monitoring at the central level lacks the effective organization and integration of models and data of trains on each line from the perspective of the entire road network, which is not conducive to the monitoring, analysis and evaluation of any subway, and is also not conducive to the upper layer System unified command, dispatch and monitoring management;

[0007] (2) The performance evaluation of trains mostly starts from a single point of view. Based on the monitoring data, unilateral state analysis and data mining are carried out on the components, and then the basic information is presented in the form of charts and documents. The integration of geometric, physical, motion and other information, that is, the lack of depth of evaluation, is not conducive to transparent and intuitive display of the train's all-round, multi-angle operating information and status performance;

[0008] (3) Vehicle-mounted intelligent devices are developing towards diversification and complexity, and various types of data are increasing massively. Traditional vehicle-mounted sensor networks and vehicle-to-ground data transmission modes are prone to waste of communication channel resources, insufficient transmission bandwidth, low evaluation timeliness, and instability and other issues, a new architectural model is required to adapt to diverse and personalized monitoring and evaluation needs

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