鲁尔物联-物联网数字底座

Intelligent Hardware

Deformation Crack Rain Soil Moisture Sensor Water Level Pressure Environment Communication Terminal

Urban Safety Natural Resources Infrastructure Production Safety Community Safety New Energy Petroleum & Petrochemical State Grid Perimeter Anomaly

Urban Safety

Geo-Hazards Open-Pit Mines Tailings Ponds Small Watersheds

Hydraulic Engineering

Hilly Pond Reservoir

Underground Network

Gas Network Water Delivery Network Sewage Network Utility Tunnel

Transportation Facilities

Roads Bridges Tunnels Railways Subway and Light Rail

Construction Safety

High-Rise Building Old Communities Dilapidated Houses

Engineering Machinery Melting Furnace

Fire Safety High Altitude Parabolic

400-119-1899

Roads

Enquire Now

Scene Introduction Demand Analysis Program Highlights Core Products Typical Case

Scene Introduction

Urban road collapses have posed threats to travel safety and city order. Traditional manual inspections fail to detect deep-seated hidden defects such as soil loosening, water saturation, and cavities, resulting in inadequate prevention measures.

The Ruhr IoT Utility Tunnel Sensing System is a comprehensive solution utilizing smart sensing and IoT to monitor high-risk roads, enabling precise location and timely alerts for effective urban road safety prevention.

Demand Analysis

Road Cavity Collapse

Excavation for deep foundation pits, underground pipeline leaks, and other factors can lead to road cavity collapses, significantly impacting road safety.

Subsidence of Roadbed and Pavement

Excessive extraction of groundwater and engineering construction activities can easily lead to localized subsidence issues in urban roadbeds and pavements.

Maintenance Management

Traditional maintenance management processes often rely on periodic inspections and maintenance methods, which are costly and time-consuming.

Program Highlights

Urban Road Risk Assessment

By utilizing InSAR scanning data, a three-dimensional numerical model is established to assess the risk of urban roads. Based on the assessment results, the risk levels of urban roads are categorized.
Real-Time Monitoring

Based on the InSAR risk identification results, real-time monitoring is conducted on High-Risk road sections. The focus is on monitoring data such as cracks, potholes on the roads and groundwater levels, and providing early warnings for potential hazards like road collapses and underground voids.
Maintenance Guidance

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

By monitoring 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.