Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors

AbstractConstruction sites need to be monitored continuously to detect unsafe conditions and protect workers from potential injuries and fatal accidents. In current practices, construction-safety monitoring relies heavily on manual observation, which is labor-intensive and error-prone. Due to the complex environment of construction sites, it is extremely challenging for safety inspectors to continuously monitor and manually identify all incidents that may expose workers to safety risks. There exist many research efforts applying sensing technologies to construction sites to reduce the manual efforts associated with construction-safety monitoring. However, several bottlenecks are identified in applying these technologies to the onsite safety monitoring process, including (1) recognition and registration of potential hazards, (2) real-time detection of unsafe incidents, and (3) reporting and sharing of the detected incidents with relevant participants in a timely manner. The objective of this study was to c...

[1]  Simon Smith,et al.  Safety hazard identification on construction projects , 2006 .

[2]  Yong K. Cho,et al.  Case Study of BIM and Cloud–Enabled Real-Time RFID Indoor Localization for Construction Management Applications , 2016 .

[3]  Yong K. Cho,et al.  Integrating work sequences and temporary structures into safety planning: Automated scaffolding-related safety hazard identification and prevention in BIM , 2016 .

[4]  Muhammad Arslan,et al.  CoSMoS: A BIM and wireless sensor based integrated solution for worker safety in confined spaces , 2014 .

[5]  Hun Hee Cho,et al.  Development of a mobile safety monitoring system for construction sites , 2009 .

[6]  Susanne Bahn,et al.  Workplace hazard identification and management: The case of an underground mining operation , 2013 .

[7]  Berardo Naticchia,et al.  A proactive system for real-time safety management in construction sites , 2009 .

[8]  Yong K. Cho,et al.  Field Construction Management Application through Mobile BIM and Location Tracking Technology , 2016 .

[9]  Yong K. Cho,et al.  A Framework for Cloud-based Energy Evaluation and Management for Sustainable Decision Support in the Built Environments , 2015 .

[10]  Yong K. Cho,et al.  Error modeling for an untethered ultra-wideband system for construction indoor asset tracking , 2010 .

[11]  Todd M. Ruff,et al.  Development and Testing of a Tag-based Backup Warning System for Construction Equipment , 2007 .

[12]  Carlos H. Caldas,et al.  Methodology for Automating the Identification and Localization of Construction Components on Industrial Projects , 2009 .

[13]  Yong K. Cho,et al.  Direction Aware Bluetooth Low Energy Based Proximity Detection System for Construction Work Zone Safety , 2016 .

[14]  Vineet R. Kamat,et al.  Evaluation of position tracking technologies for user localization in indoor construction environments , 2009 .

[15]  Mani Golparvar-Fard,et al.  Automated Vision-based Recognition of Construction Worker Actions for Building Interior Construction , 2012 .

[16]  Yong K. Cho,et al.  BIM-Based Planning of Temporary Structures for Construction Safety , 2015 .

[17]  Berardo Naticchia,et al.  Design and first development of an automated real‐time safety management system for construction sites , 2009 .