Abstract
Effective monitoring of worker is one of the crucial elements in accident prevention. With advancement of sensor technologies, real-time tracking research has been conducted for improving effectiveness of monitoring in safety management. However, most of previous studies were limited to outside construction work which normally indicates excavation and heavy equipment operation. This study proposes automatic worker location tracking and risk alert system for effective risk recognition and worker monitoring that integrates smartphone and Building Information Model (BIM). A prototype system has been developed and tested based on small room. The test results show that the system has the potential to reduce labor and time for monitoring and improve the recognition of fall accident risk on the job site in real-time.
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