A Multi-Sensing IoT System for MiC Module Monitoring during Logistics and Operation Phases

Area of Science:

• Structural Engineering
• Construction Management
• Internet of Things (IoT)

Background:

• Modular Integrated Construction (MiC) adoption is widespread, but logistics pose significant risks.
• Module damage during transport and storage can lead to safety hazards and structural degradation.
• Current inspection methods are reactive, causing delays and supply chain uncertainties.

Purpose of the Study:

• To develop and demonstrate an IoT-based multi-sensing system for continuous structural health monitoring of MiC modules.
• To assess module damage and safety during logistics and the building use phase.
• To provide insights for improving MiC logistics and module design.

Main Methods:

• Development of a compact, portable, wireless sensing system integrating accelerometers, gyroscopes, and strain sensors.
• System testing and calibration for accuracy and efficiency.
• Field experiments to evaluate damage, safety, and structural health during MiC logistics.

Main Results:

• The developed sensing system effectively measures module structural responses during logistics.
• Damage assessment methods enable proactive identification of structural conditions before site arrival.
• The system provides valuable data for supply chain risk mitigation.

Conclusions:

• Continuous structural monitoring is vital for MiC logistics and building use.
• The IoT sensing system enhances safety, prevents supply chain disruptions, and informs design improvements.
• This technology supports decision-making for efficient and safe MiC project execution.