Intelligent Early Warning System for Construction Safety of Excavations Adjacent to Existing Metro Tunnels

Abstract

With the increasing exploitation and utilization of underground spaces, the excavation of deep foundation pits adjacent to existing metro tunnels is becoming increasingly common. These excavations have the potential to cause safety problems for the operation of the nearby metro. Therefore, to prevent metro tunnel accidents from occurring during the construction process and to ensure the safety of lives and property, it is necessary to establish a risk-based early warning system. During the excavation process, the main methods for preventing accidents in excavations adjacent to existing metro tunnels are manual analyses based on on-site monitoring data. However, these methods make it difficult to enact effective control measures in a timely manner owing to the lag of information processing. However, the trial application of artificial neural networks (ANNs) and building information modelling (BIM) for engineering projects provides a new method for solving such problems. This study uses a backpropagation neural network to predict the real-time deformation of the tunnel based on monitoring data from the adjacent construction site. A safety risk assessment model is then established based on the relevant specifications. Through the establishment of an intelligent warning system, the safety risk to the metro tunnel during the construction process can be displayed in a three-dimensional (3D) form using the BIM. The operation results of the ANN–BIM system show that it can effectively present the safety risk to existing metro tunnels in a 3D manner, which can provide managers with rapid and convenient visual information to inform their decision-making.

Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs

“…Topic [86,88,90,94,95,99] Fire risk [87,89,92,93,96,98] Workers/Users Health and Safety (H&S) [91,100] Multi disaster (earthquake, flooding, and fire) countermeasure [97] Emergency response of utility tunnels [101,102] Excavation risks…”

Perkembangan Internet of Things di Industri Konstruksi

“…Penggunaan early warning system yang baik dapat mengirim peringatan dengan durasi kurang dari satu detik, dan dapat menaikkan angka kemungkinan keselamatan nyawa dan aset. Tingkat keberhasilan sistem ini mencapai angka 98% dalam rentang tujuh hari dan mencapai 92% dalam rentang 60 hari [18]. Pemerintah Cina juga sangat mendukung penerapan IoT pada proyek konstruksi yang dapat dilihat dari adanya suatu sistem manajemen informasi, yang disebut sebagai Construction Information Management Service Sharing (CIMSS).…”

A digital twin-driven deformation monitoring system for deep foundation pit excavation

“…Challenges remain in the data analysis, and improvements in safety situation visualization and decision making are still required (Dong et al, 2020). At present, the most popular digital technologies used in this area include BIM (Wang et al, 2021), IoT (Chuang et al, 2021), and artificial intelligence (AI) (Tian et al, 2021).…”

“…Likewise, Fan et al (2021) established a safety management system to achieve automatic early warning, but failed to identify false alarms from various sensor faults and false measurements. Furthermore, Tian et al (2021) proposed an intelligent early warning system, whose data sources come from both the monitoring system and manual monitoring, but the information presented by the system is insufficient to support decisionmaking. Thus, this study aims to propose an accurate and timely digital twin-driven deformation monitoring of deep foundation pit excavation in order to support effective risk-preventing decisions.…”