High-speed Railway最新文献

Response speed is vital for the railway environment monitoring system, especially for the sudden-onset disasters. The edge-cloud collaboration scheme is proved efficient to reduce the latency. However, the data characteristics and communication demand of the tasks in the railway environment monitoring system are all different and changeable, and the latency contribution of each task to the system is discrepant. Hence, two valid latency minimization strategies based on the edge-cloud collaboration scheme is developed in this paper. First, the processing resources are allocated to the tasks based on the priorities, and the tasks are processed parallelly with the allocated resources to minimize the system valid latency. Furthermore, considering the differences in the data volume of the tasks, which will induce the waste of the resources for the tasks finished in advance. Thus, the tasks with similar priorities are graded into the same group, and the serial and parallel processing strategies are performed intra-group and inter-group simultaneously. Compared with the other four strategies in four railway monitoring scenarios, the proposed strategies proved latency efficiency to the high-priority tasks, and the system valid latency is reduced synchronously. The performance of the railway environment monitoring system in security and efficiency will be promoted greatly with the proposed scheme and strategies.

In order to enhance the ablation-resistant performance of stainless-steel conductive rails, Mo coating, 410 stainless steel coating and 15 wt% Cr₂AlC particles reinforced 410 stainless steel composite coating were prepared and evaluated. Different from the weak interfacial strength caused by the dissimilar metals between Mo and steel rails, 410 stainless steel coating has better interfacial contact with steel rails. The introduction of Cr₂AlC into 410 stainless steels further strengthened the mechanical properties of coating by alloy strengthening effect and particle strengthening effect, as the decomposition of Cr₂AlC into nano CrC particles is accompanied with the diffusion of Al atoms into 410 stainless steels. It was found that the composite coating can still resist arc erosion at 150 A current, as a dense oxide film formed during the ablation process and the decomposition of Cr₂AlC contributed to the heat absorption.

In view of class imbalance in data-driven modeling for Prognostics and Health Management (PHM), existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment. A virtual sample generation solution based on Generative Adversarial Network (GAN) is proposed to overcome this shortcoming. Aiming at augmenting the sample classes with the imbalanced data problem, the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction models. Under the PHM framework of the on-board train control system, the virtual sample generation principle and the detailed procedures are presented. With the enhanced class-balancing mechanism and the designed sample augmentation logic, the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle status. Practical data from a specific type of on-board train control system is employed for the validation of the presented solution. The comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance (CBM) operations.

During railway operations, trains normally run as scheduled, but the occurrence of unexpected events will disrupt traffic flow and cause train deviation from the original timetable. In order to assist dispatchers in rescheduling trains, this paper introduces an innovative Human-Computer Interaction framework. This framework enables train dispatchers to propose different timetable adjustment instructions to the original or adjusted timetable. These instructions will be processed, stored, analyzed, and digested by computer program, which finally lead to the modification and calculation of the embedded mathematical model, then a new adjusted timetable will be produced and provided to dispatchers for checking and modifying. This framework can iterate for unlimited times based on dispatchers’ intentions, until the final results satisfy them. A demonstration system named RTARS (Real-time Timetable Automatic Rescheduling System) is developed based on this framework and it has been applied in Beijing Railway Administration, which shows its effectiveness in reality.

Foamed Polyurethane Solidified Ballasted Track (FPSBT), an innovative railway track, is formed by solidifying ballast bed with foamed polyurethane. Compared with the traditional Discrete Ballasted Track (DBT), FPSBT does not require regular maintenance such as tamping and cleaning. However, limited studies exist on the mechanical properties of FPSBT. In this study, Laboratory experiments are conducted on polyurethane samples to investigate the effects of polyurethane density on the mechanical properties of FPSBT. Furthermore, the performance of DBT and FPSBT with different polyurethane densities are compared, and the recommended polyurethane density is obtained. FPSBT exhibited negligible accumulation of deformation under cyclic loads, indicating excellent performance of FPSBT owing to the anti-deformation properties of polyurethane. Further, a track load vehicle test is conducted. FPSBT exhibited better load-transmitting ability than DBT. Finally, the construction and application of FPSBT in China are introduced. This study is expected to contribute to realizing a more extensive application of FPSBT.

Railway real estate is the fundamental element of railway transportation production and operation. Effective management and rational utilization of railway real estate is essential for railway asset operation. Based on the investigation of the requirements of railway real estate management and operation, combined with Beidou positioning, GIS (Geographic Information System), multi-source data fusion and other cutting-edge technologies, this paper puts forward the multi-dimensional dynamic statistical method of real estate information, the identification method of railway land occupation and the comprehensive evaluation method of real estate development and utilization potential, and build the railway real estate supervision and operation platform, design the function of the platform, so as to provide intelligent solutions for the railway real estate operation.