Data fault tolerance technology for cloud-based high-speed railway signal interlocking system
To meet the demands of digital transformation in railway signal systems,the introduction of cloud computing technology into railway signal interlocking systems(referred to as Cloud Interlocking)can contribute to enhanced flexibility,scalability,and computational performance.Ensuring the security of the Cloud Interlocking system is a significant challenge.In response to the current inadequacy of commercial cloud platforms in meeting the stringent security requirements of railway signal systems,a data fault-tolerance solution for Cloud Interlocking was proposed.This solution could guarantee the operation of interlocking applications on the cloud platform,ensuring the safety and correctness of Cloud Interlocking functions.The study began by analyzing existing security measures in computer-based interlocking systems and the current security technologies applicable to cloud platforms,identifying the challenges in securing Cloud Interlocking.A structural framework for Cloud Interlocking was presented,encompassing the approach control process and exploring monitoring methods suitable for Cloud Interlocking.Subsequently,based on the approach control process,a feature encoding method was employed to encode interlocking routes and input data.Furthermore,matrix-based fault-tolerance techniques were used to detect data errors in interlocking operations,monitor software behavior for potential design flaws and computational errors within the Cloud Interlocking system.The study could conduct an in-depth analysis of multiple-node interlocking operation failures,proposing a fault recovery plan for potential multiple failures within the Cloud Interlocking and providing a comprehensive analysis of the measures taken.Finally,the safety of the cloud platform was quantitatively assessed through average risk failure probability calculations.Research results indicate that the proposed monitoring solution offers significantly improved security performance compared to traditional methods.The results can serve as a reference for future research in high-security railway signal systems,digitalization of railway signal systems,and information technology studies within this domain.
国家科技期刊平台
NSTL
万方数据
