The integrated obstacle detection system deeply combines sensor data from visible light, infrared, millimeter-wave radar, and LiDAR to enable intrusion obstacle detection and safety early-warning capabilities in rail transit areas. The system is suitable for harsh operating conditions in tunnels and elevated open-air environments; it supports a variety of vehicle types—including metro, intercity rail, tram, and locomotive vehicles—and can also be extended to monitor the status of peripheral equipment and facilities along the main lines.

Based on a non-contact track inspection framework, this system employs the inertial reference measurement principle and integrates multiple precision sensors to leverage operational vehicles as carriers, enabling dynamic, real-time monitoring of track geometric parameters and track inspection defects.

Integrating core technologies—including dry ice cleaning technology, robotics, and computer vision—this equipment enables fully automated operation across the entire rack cleaning process. It delivers superior performance, adheres to green environmental standards, and achieves high operational efficiency, with a single-unit rack cleaning efficiency of 20–30 minutes per unit. As a core piece of equipment independently developed by Zhongshu Laser, it has already been successfully deployed in practical applications at CRRC.

Integrating advanced technologies—including composite lasers, vision recognition, offline simulation, seven-axis robots, and an integrated operational platform—this system enables automated and intelligent cleaning operations (including paint removal, rust removal, adhesive removal, and oil stain removal) for various irregularly shaped components of bogies. It represents the first dedicated laser cleaning equipment for bogie components in the industry. The dust and fumes generated during the cleaning process are purified by a dust purification unit, allowing for direct, harmless discharge.

The equipment employs a through-type design, utilizing a composite laser system and three-axis or six-axis robots to efficiently remove paint, rust, and oil contaminants from urban rail vehicle axles, dust-proof plate seats, and inner and outer wheel rim plates of wheelsets. The smoke and dust generated during the cleaning process are purified by a dust purification system before direct discharge, enabling efficient, environmentally friendly, and non-destructive cleaning.

The e-Car Network Procurement Cloud Platform is a B2B electronic procurement platform dedicated to the rail transit industry, operated by Yunshang City Rail. It provides end-to-end online management capabilities spanning from supplier sourcing, bidding and tendering, order processing, contract management, payment, to logistics, supporting diverse procurement modes—including price inquiries and comparative analysis as well as contract procurement. The platform features built-in oversight functions to ensure full transparency and accountability. Its product catalog covers 22 major categories—including locomotives and rolling stock, and communication and signaling systems—comprising over 240,000 product variants, and connects more than 20,000 suppliers, having already served over 50 metro operators across China. Additionally, the platform offers complementary services such as supply chain finance and cloud-based warehousing and logistics solutions, helping enterprises reduce costs, enhance operational efficiency, and achieve digital transformation and upgrading in their procurement processes.