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Dilapidated Houses

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Scene Introduction Demand Analysis Program Highlights Core Products Typical Case

Scene Introduction

Dilapidated houses refer to buildings that, due to their age, structural degradation, poor maintenance, etc., present certain safety hazards. These houses may have issues such as structural damage, material decay, or outdated equipment, resulting in the building being unsafe either entirely or partially.

The Ruhr IoT Dilapidated Houses Sensing System utilizes intelligent sensing, communication, networking, and computing technologies. By implementing real-time monitoring of environmental and structural parameters in dilapidated houses, the system facilitates a comprehensive analysis and intelligent evaluation of the the safety conditions of dilapidated houses.

Demand Analysis

Structural Collapse Hazard

Some buildings, due to long-term neglect and lack of maintenance, have experienced a decline in their structural stability. This has led to issues such as wall deformation and foundation subsidence, and in severe cases, even collapse.

Substandard Service Life

Due to poor planning, inappropriate site selection, and unreasonable survey and design work, coupled with outdated construction techniques, the service life of buildings fails to meet the required standards.

Program Highlights

Real-time Security Situation Awareness

Real-time Security Situation Awareness involves continuously monitoring the settlement, deformation and wall cracks, to timely assess the safety conditions of dilapidated houses.
Abnormal Event Notifier System

When an exception occurs, the system triggers on-site auditory and visual alarms based on the emergency level. It also notifies relevant personnel through App, SMS, or phone calls.
Assisted Dilapidated Houses Assessment

For houses suspected of being dangerous, the real-time monitoring system provides data to verify the assessment in the process of auxiliary identification of dilapidated houses.
Anomaly Data Traceability

Based on the assessment results, provide guidance to assist subways/ light rails managers in developing more efficient plans for maintenance .