Conceived by Mr. Wang Xiaojun, the solution builds on a rail-specific edge-computing architecture that integrates “remote equipment monitoring, intelligent circuit-breaker reset, status analytics and fault prediction” into a single train–ground collaborative system, ready for fully driverless networks.

Architecture
Edge nodes on the train work with a cloud-based ground platform; on-board intelligent modules and the wayside supervisory system jointly deliver real-time monitoring and closed-loop control of circuit-breakers, power-supply equipment and other critical on-board assets.

Core Functions

·         Remote, self-resetting circuit-breaker system – safeguards unattended train operation

·         AI-driven condition monitoring & predictive-maintenance engine – real-time fault warning and maintenance-policy optimisation

·         Intelligent operation-control platform – end-to-end visibility and control of train–ground assets

·         Power-supervision & smart energy-management module – raises energy efficiency and safety levels

Technical Advantages

·         Automates maintenance tasks and cuts manual inspections

·         60 % faster fault clearance; equipment availability up > 30 %

·         City- and line-agnostic unified supervision and smart dispatching

·         Open architecture with standard protocols for multi-system integration

Field Performance
Deployed in Nanjing, Suzhou, Guangzhou, etc.; accumulates 300 million safe-kilometres, enabling GoA4 autonomous operation and intelligent O&M upgrades.

Outlook
Scalable across metro, high-speed rail and light-rail networks with strong export potential. Continuous R&D will advance the industry toward “smart O&M + green energy + remote cooperative control”.