Roads

Scene Introduction

Road collapses has become a prominent risk in cities, seriously threatening the safety of the public, with severe negative social impact. Preventing road collapses has become a crucial task in urban construction and management. Road collapses are characterized by their hidden nature, suddenness, clustering, multifactorial nature, and recurrence. Traditional methods of preventing urban road collapses, relying on manual inspections and public reports, are unable to detect deep-seated, hidden problems beneath the road surface, such as loose soil, water-rich soil, and cavities, which can trigger collapses. The result is often ineffective and difficult to prevent.

Ruhr IoT Urban Road Safety Monitoring System utilizes intelligent sensing, IoT, cloud computing, embedded systems, and communication technologies to conduct real-time detection and monitoring of urban roads and vital water supply and drainage systems in high-risk and densely populated areas, enabling rapid and accurate risk location, timely early warning, and preventative measures.

Demand Analysis

Road Cavity Collapse

With urban development, deep foundation pit excavation, underground pipeline leaks, and other factors have led to frequent secondary disasters such as road cavity collapses, posing safety hazards to pedestrians and vehicles and significantly impacting traffic.

Roadbed and Pavement Settlement

Large-scale groundwater extraction, engineering construction and large-scale landfilling can easily cause settlement problems in localized urban pavements and roadbeds.

Inefficient Maintenance Management

Traditional maintenance management often relies on regular inspections and maintenance, which is costly and time-consuming.

Program Highlights

Urban Road Risk Assessment

Through InSAR scanning, urban roads are given a "physical examination," a 3D dynamic numerical model is established, road risk levels are calculated, and a four-color risk map (red, orange, yellow, blue) is generated based on the calculation results, providing a clear overview of the risk situation.
Real-Time Monitoring

Based on the InSAR risk identification results, key road sections are monitored around the clock, detecting data such as longitudinal/transverse cracks, network cracks, potholes, manhole cover irregularities, and groundwater levels, allowing for real-time monitoring of road safety. Through massive data mining and analysis, the ability to detect risks and hazards such as road subsidence analysis and underground cavities is improved.
Maintenance Guidance

Based on the monitoring and evaluation results, road maintenance strategies are developed and implemented.
Assist Decision-Making

Through comprehensive monitoring of ground subsidence, it is possible to analyze the characteristics and trends of urban land subsidence development, providing a basis for decision-making in urban planning.