Dilapidated Houses
Scene Introduction Demand Analysis Program Highlights
Scene Introduction

Many buildings over 30 years old suffer from both inherent design flaws and aging issues, leading to accelerated deterioration of structures such as wall deformation and foundation subsidence. Ruhr IoT utilizes intelligent sensing and communication technologies to provide 24/7 safety monitoring and early warning for these older buildings, assisting in scientific reinforcement and extending their lifespan.

Demand Analysis
  • Aging Buildings
    A high percentage of urban buildings nationwide are over 30 years old. Traditional manual inspections struggle to detect hidden defects, making routine monitoring urgently required.
  • Serving with Defects
    Years of disrepair combined with outdated early construction results in actual lifespans far below expectations, accelerating safety risks.
  • Technological Compensation
    Manual inspections are inefficient and prone to missed detections. Intelligent monitoring enables automatic early warnings for settlement, tilting, and cracks, facilitating a digital transformation.
Program Highlights
  • Real-time Safety Sensing
    24/7 monitoring of settlement, deformation, and cracks, using data mining to predict structural change trends.
  • Tiered Alarms
    In case of anomalies, on-site sound and light alarm will be are triggered in red, orange, and yellow levels, along with notifications via app/SMS/telephone, reducing casualties.
  • Structural Assessment Support
    Provides real-time monitoring data for suspected dangerous buildings, supporting verification and assessment, ensuring evidence-based handling.
  • Source Tracing and Treatment
    Establishes building safety records; in case of anomalies, data inversion pinpoints the time, space, and causes, automatically generating maintenance recommendations.
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No. 53 Qiyi Lane, Wuchang Sub-district, Yuhang District, Hangzhou City, Ruhr IoT Headquarters Park

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