The train is equipped with "AI brain" and the new subway smart train rolls off the assembly line in Qingdao, Shandong

China News Service, Qingdao, November 12 (Wang Yu) The first train of Qingdao Metro Line 7 rolled off the assembly line in Chengyang District, Qingdao City, Shandong Province on the 12th. The vehicle has four major characteristics: intelligent perception, intelligent control, intelligent operation, and intelligent operation and maintenance. It is a typical engineering practice of artificial intelligence empowering high-end rail transit equipment.

According to reports, the train was developed by CRRC Qingdao Sifang Co., Ltd. (referred to as "CRRC Sifang Co., Ltd.") and Qingdao Metro Group. It is a fully automatic smart train built based on a series of Chinese standard subway train technology platforms to meet the needs of Qingdao Metro's smart operation scenarios. The train has a maximum operating speed of 100 kilometers per hour, is composed of 6 cars, and has a maximum passenger capacity of 1,862 people.

On November 12, the first train of Qingdao Metro Line 7 rolled off the assembly line in Qingdao, Shandong. Photo by Jiang Chao

Zhang Zhenxian, deputy general manager and chief engineer of CRRC Sifang Co., Ltd., introduced that the train integrates CRRC's "pulling wheel" large industrial model and is deeply empowered by AI technology to achieve GoA4 fully automatic operation level. "GoA4 level is the highest automation level for automatic train operation. It can be understood that the entire train operation process is automatically controlled by the system." He said.

In terms of intelligent perception, the train is equipped with stronger "eyes" and "brain". The train has more than 2,600 monitoring points, and relies on the on-board high-computing platform and the ground computing center to create an intelligent system that integrates sensing and computing. The system can collect the train's own status and internal and external environment data in real time, and use AI algorithms to achieve early warning of faults and intelligent analysis of abnormalities. With the upgraded AI video analysis capabilities, trains can intelligently identify abnormal doors, windows, displays, and passenger behavior, and respond quickly.

Zhang Zhenxian introduced that the train adopts a series of energy-saving technologies such as high-efficiency permanent magnet traction, high-efficiency variable frequency air conditioners, high-frequency auxiliary converters, and intelligent dimming lighting, reducing the energy consumption of the entire vehicle by more than 15%. In terms of lightweighting, through topological optimization of the car body structure and the adoption of technical measures such as aluminum-based composite brake discs, lightweight motors, and aluminum-clad air ducts, the weight of a single vehicle has been reduced by more than 1 ton, a weight reduction of approximately 3%.

Train reliability has also been further improved. The vehicle's key circuits and communication links adopt multiple redundant controls with two-way redundancy of software and hardware, and mutual redundancy of buses and hard wires. That is, a backup system is set up in key links. When one set fails, the other can take over seamlessly, so that single point failure does not affect vehicle operation and improves operational reliability and efficiency.