The Dalian Metro system, spanning over 66 miles across 50 stations and carrying more than 100 million passengers annually, faced mounting pressure to control energy costs as ridership grew. The city's extreme climate — humid monsoon summers and dry, cold winters — created highly variable HVAC demands, which alone account for 55 percent of total energy usage. With lighting, escalators, safety systems, and other electrical equipment consuming the remainder, operators lacked a centralized, data-driven method to correlate consumption across stations and adjust systems proactively. Without granular visibility into station-level performance, the metro could not respond efficiently to weather shifts or peak ridership patterns.
Engineers standardized on Allen-Bradley Logix controllers, deploying more than 50 redundant MicroLogix and CompactLogix controllers with approximately 100,000 I/O points across all stations. Each station uses paired PLCs to aggregate data from HVAC, elevator, and alarm systems. Rockwell Automation's FactoryTalk software suite was layered on top of this control infrastructure to deliver end-to-end energy intelligence. FactoryTalk Historian collects up to 10,000 data tags per line — including temperature, humidity, and CO₂ concentration — while FactoryTalk View Site Edition provides a redundant HMI for real-time visibility. The FactoryTalk VantagePoint portal converts raw control data into shareable dashboards and trend reports, enabling operators at the Operations Control Center to automate responses — such as ramping up air conditioning during evening rush hours — and intervene manually when unexpected events occur.
Following deployment of the FactoryTalk suite, Dalian Metro achieved measurable improvements in both operational visibility and energy efficiency:
Beyond the energy figures, centralized control of escalators, emergency exits, and signage improved overall system safety. The platform also positions the metro for future expansion, with FactoryTalk AssetCentre planned to support disaster recovery and asset management across the growing network.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →