模块化集成建筑(MiC)现已被工业和政府广泛采用。然而,其脆弱而微妙的物流仍然是阻碍项目绩效的担忧。MiC物流操作涉及严格的多模式运输,装卸,并在存储过程中堆叠。这样的过程可能导致对模块的潜在和内在损坏。这种损坏会在组装过程中造成安全隐患,并在建筑物使用阶段恶化模块的结构健康。此外,在组装前进行额外的检查和维修会导致不确定性,并可能延迟整个供应链。因此,在MiC物流和建筑使用阶段,持续监测模块的结构响应至关重要。开发了基于物联网的多传感系统,集成加速度计,陀螺仪,和应变传感器来测量模块的结构响应。紧凑,便携式,无线传感设备被设计为在物流和建筑使用阶段容易安装在模块上。对系统进行了测试和校准,以确保其准确性和效率。然后,演示了详细的现场实验以评估损坏,安全,MiC物流运营期间的结构健康。所展示的损伤评估方法强调了决策者在模块到达现场之前识别模块的结构状况并主动避免任何供应链中断的应用。开发的传感系统直接有助于行业在使用阶段监测MiC物流和模块结构健康。该系统使研究人员能够通过访问MiC物流操作动态的详细见解来调查和改进物流策略和模块设计。
Modular integrated construction (MiC) is now widely adopted by industry and governments. However, its fragile and delicate
logistics are still a concern for impeding project performance. MiC logistic operations involve rigorous multimode transportation, loading-unloading, and stacking during storage. Such processes may induce latent and intrinsic damage to the module. This damage causes safety hazards during assembly and deteriorates the module\'s structural health during the building use phase. Also, additional inspection and repairs before assembly cause uncertainties and can delay the whole supply chain. Therefore, continuous monitoring of the module\'s structural response during MiC
logistics and the building use phase is vital. An IoT-based multi-sensing system is developed, integrating an accelerometer, gyroscope, and strain sensors to measure the module\'s structural response. The compact, portable, wireless sensing devices are designed to be easily installed on modules during the
logistics and building use phases. The system is tested and calibrated to ensure its accuracy and efficiency. Then, a detailed field experiment is demonstrated to assess the damage, safety, and structural health during MiC logistic operations. The demonstrated damage assessment methods highlight the application for decision-makers to identify the module\'s structural condition before it arrives on site and proactively avoid any supply chain disruption. The developed sensing system is directly helpful for the industry in monitoring MiC
logistics and module structural health during the use phase. The system enables the researchers to investigate and improve logistic strategies and module design by accessing detailed insights into the dynamics of MiC logistic operations.