AI赋能城轨新发展：轨交大模型一体机、运维智能体等成果重磅亮相

Group 1 - The 9th China Smart Rail Transit Conference was held in Guangzhou, focusing on the theme of "starting from 'new' and acting towards 'quality'" to discuss the integration and high-quality development of urban rail transit under new circumstances [1] - The conference attracted over 1,500 participants from urban rail transit research institutions, 40 city owner units, 15 design institutes, and more than 100 industry partners, highlighting the collaborative nature of the event [1] - AI technology integration with urban rail operations was a key focus, with a presentation on how existing big data and cloud platform resources can drive AI breakthroughs for smart operations, equipment fault prediction, and passenger services [3] Group 2 - The launch of three integrated rail transit AI models aimed at enhancing operational efficiency and cost optimization through an "out-of-the-box" approach was a significant highlight of the conference [3] - The urban rail transit industry in China is transitioning from a "high-speed construction phase" to a "stock enhancement phase focused on operations," emphasizing the importance of smart maintenance and upgrades [3] - The introduction of the "Jia Yi Wei" intelligent maintenance system, which leverages proprietary AI models to provide a comprehensive maintenance platform, aims to improve quality, reduce costs, and enhance efficiency in urban rail operations [4] Group 3 - The company showcased its capabilities in integrating various manufacturer resources and systems to enable comprehensive data access and cross-disciplinary diagnostics for urban rail maintenance [6] - The intelligent maintenance platform supports the transition from planned repairs to condition-based maintenance, ensuring the collection of critical equipment data [6] - The "self-growing model empowering the urban rail transit intelligent maintenance ecosystem" was recognized as a typical application case by the Ministry of Industry and Information Technology, with successful implementations in cities like Guangzhou, Changsha, and Chengdu [7]