Abstract
Construction is a hazardous industry in which accidents occur frequently. Occupational accidents at construction sites are a serious public health issue in Korea. Construction site conditions often create dangerous situations by requiring workers and heavy equipment to work in close proximity to each other. In 2015, approximately 11% (46) of the 437 occupational fatalities in the construction industry in Korea resulted from workers colliding with objects or equipment. In this paper, we present a proximity warning system developed to address this issue and enhance safety at construction sites. The proposed technology functions in real time to alert workers and equipment operators of hazardous proximity situations. Also, when the radio frequency identification (RFID) sensor detects an approaching worker, the main board instantly shuts down the excavator for the prevention of accident. This system contains an RFID tag, RFID reader, alarm device, camera, a display device (the Around View Monitor), and excavator control technology. A field test demonstrated successful performance of the proposed system. It is widely applicable in small construction fields alongside excavators and other equipment because this system does not require additional communication infrastructure, such as servers.
Highlights
Occupational injuries from the construction field are a global public health issue, whereas the construction sector is a hazardous industry in which occupational accidents occur most frequently around the world [1]
The proximity warning and control system has been developed for the prevention of collision accidents around an excavator
radio frequency identification (RFID) and Around View Monitor (AVM) systems for detection or monitoring of workers and an excavator control system are the main functions of the proposed system
Summary
Occupational injuries from the construction field are a global public health issue, whereas the construction sector is a hazardous industry in which occupational accidents occur most frequently around the world [1]. The construction equipment operates in dangerously close proximity to workers. It has been shown that the proximity of workers to heavy equipment is a primary safety problem in construction [5]. Many of these accidents are caused by visibility problems of equipment operators [6]. Zhu et al [10] proposed a technique that could improve construction site safety by predicting the movements of onsite workers and mobile equipment. Teizer [12] tested construction site applications of magnetism-based proximity detection and alarm technology for safe heavy equipment operation. Seo et al [13] proposed computer vision techniques to improve construction safety and health monitoring
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