Recently, at the 2025 Tencent Global Digital Ecosystem Conference, Innoview stood out from numerous innovative practices with its case study, "AI-Assisted Digital and Intelligent Transformation of Road Maintenance," winning the "Most Popular Case in the Cloud-Based Case Exhibition Area." This honor is not only an authoritative recognition of Innoview's technological innovation capabilities but also a high affirmation of the value of its practices in promoting the intelligent transformation of industries.
AI + Road Maintenance: From "Reactive Response" to "Proactive Prevention"
Traditional road maintenance often relies on manual inspections and post-incident repairs, resulting in low efficiency, high costs, and numerous safety hazards. EVE Energy has integrated cutting-edge technologies such as artificial intelligence, big data, the Internet of Things, and cloud computing to build a smart road maintenance management system covering the entire chain of "perception-diagnosis-decision-operation."
The AI-powered intelligent road inspection system applies deep learning AI and image analysis technologies. Using high-definition industrial cameras, it accurately identifies road defects. Combined with GNSS positioning and inertial sensing technologies, it uploads the defect data to Tencent Cloud in real time via 4G/5G networks, achieving real-time, digital, visual, interconnected, and intelligent road defect detection, maintenance, management, and services.
Practical Results: Cost Reduction and Efficiency Improvement, Empowering Smart Urban Operations
Currently, this solution has been successfully implemented in multiple urban arterial roads and highway projects. Actual operational data shows that the AI-assisted maintenance system can achieve the following:
Inspection efficiency increased by over 80%, realizing automation and intelligence in road inspection;
Disease identification accuracy exceeded 95%, reducing the risk of missed detections and misjudgments;
Maintenance costs decreased by approximately 30%, optimizing resource allocation and material usage;
Significantly extended road lifespan, supporting sustainable transportation development.
2025-10-17 16:19:37 
times 