Traditional underground space safety monitoring is ineffective as data continuity is weak, systematic and random errors are prominent, data quantification is difficult, data stability is scarce (especially in bad weather), and it is difficult to guarantee human safety. In this study, BIM technology and multi-data wireless sensor network transmission protocol, cloud computing platform are introduced into engineering monitoring, real-time online monitoring equipment, cloud computing platform and other hardware and software are developed, and corresponding online monitoring system for structural safety is developed to realize online monitoring and early diagnosis of underground space safety. First, the shape of the underground space, the surrounding environment, and various monitoring points are modeled using BIM. Then, the monitoring data collected from sensors at the engineering site are transmitted to the cloud via wireless transmission. Data information management is then realized via cloud computing, and an actual state-change trend and security assessment is provided. Finally, 4D technology (i.e., 3D model + time axis) that leverages a deformation chromatographic nephogram is used to facilitate managers to view deformation and safety of their underground spaces. To overcome past shortcomings, this system supports the management of basic engineering project data and storage of historical data. Furthermore, the system continuously reflects the fine response of each monitoring item under various working conditions all day, which has significant theoretical value and application.

传统的地下空间安全监控由于数据连续性薄弱，系统性和随机性错误突出，数据量化困难，数据稳定性差（尤其是在恶劣天气下）且难以保证人身安全而无效。本研究将BIM技术和多数据无线传感器网络传输协议，云计算平台引入工程监控，开发了实时在线监控设备，云计算平台等软硬件，并为结构化建立了相应的在线监控系统。开发安全技术以实现地下空间安全的在线监控和早期诊断。首先，使用BIM对地下空间的形状，周围环境和各种监视点进行建模。然后，从工程现场的传感器收集的监视数据通过无线传输被传输到云中。然后通过云计算实现数据信息管理，并提供实际的状态变化趋势和安全评估。最后，利用变形色谱云图的4D技术（即3D模型+时间轴）可帮助管理人员查看地下空间的变形和安全性。为了克服过去的缺点，该系统支持基本工程项目数据的管理和历史数据的存储。此外，该系统全天候不断地反映每个监控项目在各种工作条件下的良好响应，具有重要的理论价值和应用价值。