Smart Urban Rail Operation Control Platform

The Smart Urban Rail Operation Control Platform is a metro operation management system developed based on advanced digital twin and AI big model technologies. By continuously monitoring and analyzing metro operation data, it comprehensively controls the metro's operational status, enhances operational efficiency and service quality, and provides passengers with safer, more comfortable, and convenient travel experiences.
The AI vertical transportation system combines AI technology with traditional business, utilizing real data sources to achieve intelligent traffic management, optimize routes, improve efficiency, and alleviate congestion. The warning handling solution page displays the passenger flow heatmap and special warning point situations at the warning time point. Users can view predicted passenger flow changes, simulate emergency plans, and finally issue disposal plans.
The system's video surveillance feature, integrated with advanced AI image recognition technology, can capture and analyze critical information in real-time, providing robust technical support for safety monitoring. Once the AI recognizes individuals with disabilities, it triggers a specialized emergency mechanism, such as sending personalized guidance routes. In cases of alerts like prolonged loitering, the system can track movement paths using digital twin technology and quickly respond based on the situation, such as promptly alerting staff or retrieving nearby video footage to offer targeted assistance.
The system offers comprehensive monitoring of energy usage at the station and provides timely adjustment recommendations based on real-time operational conditions. For example, by analyzing passenger flow data, the system can suggest optimal settings for air conditioning, allowing operators to make adjustments via a control panel. This helps effectively reduce energy consumption and save on labor costs.
The system performs automatic inspections of various equipment based on predefined inspection routes, eliminating the need for manual patrols. If a fault is detected, the system can delve into the specific equipment interface, using digital twin technology to precisely locate the fault and display repair methods. Additionally, the AI large model provides immediate repair recommendations and answers related queries, significantly enhancing the efficiency and intelligence of equipment inspection and maintenance.