01 Project Background
With the advancement of intelligent transportation construction, expressways impose higher demands on the computing power, reliability, and scalability of data centers. Traditional equipment rooms suffer from drawbacks such as lengthy construction cycles, high energy consumption, and low space utilization rates.
As a regional transportation hub, Anhui Expressway faces dispersed scenarios including toll stations, service areas, and monitoring centers along its routes. Its existing equipment rooms struggle to meet the needs of intelligent upgrades, urgently requiring a solution that enables rapid deployment, high efficiency, and energy savings.
02 Customer Requirements
1. Fast Deployment: With urgent timelines for launching smart toll collection and V2X systems, equipment room upgrades must be completed within a short timeframe.
2. Space Optimization: Limited space at toll stations and service areas necessitates significant reduction in equipment room footprint.
3. High Reliability: Ensures 24/7 stable operation of toll systems and emergency communications, with rapid failure recovery.
4. Energy Savings: Reduces cooling and power consumption while optimizing energy efficiency.
5. Scalability: Supports future computing power growth and shortens expansion cycles.
03 INVT Solution
INVT iWit Intelligent Modular Data Center delivers rapid-deployment, energy-saving and low-carbon, intelligent O&M data infrastructure for Anhui Expressway (China) through prefabricated design, intelligent management, and high-efficiency cooling, comprehensively facilitating the sustainable development of smart transportation systems.
Tailored Solution Design for Client Requirements:
1. Rapid Deployment & Scenario Adaptability
The INVT Win iWit Intelligent Modular Data Center adopts factory-preassembled production, enabling rapid on-site installation with significantly shortened construction cycles compared to traditional server rooms. Its standardized modules flexibly adapt to diverse spaces like toll stations and service areas, with notably increased cabinet density to meet multi-scenario computing demands.
2. High Efficiency & TCO Reduction
Incorporating contained hot/cold aisles, in-row cooling, and modular UPS technologies, it achieves markedly lower PUE than conventional server rooms. As demonstrated at an Anhui Expressway service area facility, annual electricity cost savings are substantial.
3. Intelligent O&M for Business Continuity
Featuring the eSite Cloud Monitoring System, it tracks real-time parameters (temperature, humidity, power consumption) with high-accuracy fault alerts, slashing manual inspection costs through remote maintenance. Hot-swappable modular UPS ensures extreme availability for critical loads, guaranteeing zero interruption to toll systems.
4. Elastic Expansion for Future Needs
The "build-as-needed" approach allows rapid micro-module additions, with single-module capacity expansion completed swiftly. An Anhui Expressway monitoring center achieved significant computing power growth and notable expansion cost reduction using this solution.
5. Eco-Design Supporting Carbon Goals
The solution reduces lifecycle carbon footprint considerably, with modular construction minimizing construction waste generation, aligning with Anhui Province's green infrastructure policy directives.
04 Implementation Results
* Deployment Efficiency: Significantly faster than traditional approaches, rapidly meeting smart transportation system deployment needs.
* Energy Costs: Substantial annual electricity savings with PUE surpassing industry benchmarks.
* O&M Costs: Markedly reduced on-site personnel and greatly improved fault resolution efficiency.
* Business Support: Enables innovative applications like V2X and AI surveillance, accelerating Anhui Expressway's digital transformation.
Leveraging its core advantages of speed, efficiency, and intelligence, the INVT iWit Smart Modular Data Center serves as a pivotal engine for Anhui Expressway's intelligent transformation, providing expanded solution options for national transportation industry data center construction.
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