Chengdu Tianfu International Airport

Project Background

Chengdu Tianfu International Airport, located in Lujia Town, Jianyang City, Chengdu, Sichuan Province, is a 4F-class international airport. It is designed to handle an annual passenger throughput of 40 million, a cargo and mail throughput of 700,000 tons, and 320,000 aircraft movements per year.

Solution

Project Scope：The monitoring system for this project covers weak-current equipment rooms and UPS rooms across Terminal 1, Terminal 2, ITC Building, GTC and Parking Building, and the On-site Service Building, with a total of 175 equipment rooms and over 2,800 racks.

Equipment Monitoring：

Ø Data center power systems: power meters, switches, ATS/STS, UPS, batteries, in-row cabinets, PDUs, etc.

Ø   Data center environmental systems: precision air conditioning, temperature and humidity, water leakage, particulate matter, hydrogen, rack temperature monitoring, and rack U-level detection.

Ø   Data center security systems: video surveillance.

Functional Modules：

Ø Power and environment monitoring, asset management, capacity management, energy management, operations and maintenance management, video integration.

Ø Electrical single-line diagrams: customized according to user requirements.

Ø Login interface style: customized according to Chengdu Tianfu International Airport’s UI design requirements.

Customer Value

Jitong Intelligent has built a comprehensive smart airport data center operations management platform for Chengdu Tianfu International Airport, incorporating infrastructure monitoring, asset management, capacity management, energy management, and operations and maintenance management. It integrates and interfaces with the airport’s energy management platform, security platform, and unified authentication platform.

Centralized Monitoring: Enables centralized control of all data rooms and devices, allowing for information sharing, improved management efficiency, and reduced manpower requirements.

Unified Management: Offers multi-level access control, various extensible features and interfaces, and multi-level deployment, enabling unified remote management and improving data center operation and management efficiency.

Statistical Analysis: Customizable feature modules provide a user-friendly interface and enable multi-dimensional data integration and analysis of capacity and energy consumption, helping users structure their data and enhance its value.

Rapid Scalability: Distributed architecture allows each monitoring subsystem to operate independently without mutual interference. It supports distributed deployment, online capacity expansion of monitoring systems across data rooms and lines, meeting project requirements at different phases.