Method for testing proximity detection and alert technology for safe construction equipment operation

Marks, Eric; Teizer, Jochen

doi:10.1080/01446193.2013.783705

Cited by 87 publications

(50 citation statements)

References 5 publications

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“…Past research [30,31] has developed preliminary testing methods to evaluate various proximity warning systems for prevention of collision accidents. In this paper, we designed the experimental methods based on these test methods.…”

Section: Methodsmentioning

confidence: 99%

“…Through a field test, they demonstrated that this system could be used to prevent collision accidents on construction sites. Marks and Teizer [30] presented a testing method and demonstrated its ability to evaluate the reliability and effectiveness of RF-based proximity warning systems in construction environments. Similarly, Choe et al [31] proposed a method to evaluate ultrasonic and radar-based warning technologies.…”

Section: Review Of Proximity Warning Technologymentioning

confidence: 99%

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Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Lee

Kim

et al. 2017

Sustainability

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Review Of Proximity Warning Technologymentioning

confidence: 99%

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Lee

Kim

et al. 2017

Sustainability

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“…Other preventive methods are based on techniques implementing proximity detection and pro-active warning systems -a method that alerts workers in advance before entering a blind spot or getting too close the operating equipmentrelated hazards. In particular, technologies based on magnetic signals show promising results in being effective in providing alerts to equipment operator and ground workers when hazardous proximity situations occur between them [10][11].…”

Section: Hazardous Proximity Situationsmentioning

confidence: 99%

“…Multiple other technologies have been studied and evaluated including vision cameras [12][13], radio detection and ranging (RADAR) [14], radio-frequencyidentification (RFID) [11,[15][16], ultra wideband (UWB) [17][18], range imaging cameras [19][20][21], and global positioning system (GPS) [22][23] for potential deployment in the construction environment. Although some of these systems were capable of detecting and alerting workers in real-time of hazards, many are infrastructure-heavy as they require expensive setup of sensing infrastructure.…”

Section: Hazardous Proximity Situationsmentioning

confidence: 99%

Automated Collection, Identification, Localization, and Analysis of Worker-Related Proximity Hazard Events in Heavy Construction Equipment Operation

Teizer¹,

Golovina²,

Wang³

et al. 2015

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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The construction industry measures worker safety performance through lagging indicators such as counting numbers of illnesses, injuries, and fatalities. Active leading indicators, such as capturing hazardous proximity situations between ground workers and heavy construction equipment, provide an additional metric for construction site personnel safety performance without incurring worker accidents. This article presents an algorithm for recording, identifying, and analyzing interactive hazardous proximity situations between ground workers and heavy construction equipment. Spatialtemporal GPS data of ground worker and heavy equipment movements are analyzed to automatically measure the frequency and duration of identified hazardous proximity situations. Individual periodic ground worker and equipment operator safety performance with regards to exposure to hazardous proximity situations is reported in detail. The results are integrated with previous research on blind spots and other safety deficiencies of the equipment. By measuring and analyzing leading indicator data of ground workers and heavy equipment, safety managers can identify hazardous situations that may otherwise lead to incidents. Knowledge generated about hazardous proximity issues are disseminated to construction personnel through enhanced safety training and education. Mitigation measures can also be taken for safer construction equipment operation.

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“…Indeed, the United States Bureau of Labor Statistics (BLS) reported that the construction sector had the largest number of fatal workplace injuries (805 out of 4,628 total fatalities) in 2012 [2]. Aside from causing human tragedy and economic loss, such accidents signi cantly a ect the productivity and reputation of the construction industry [3,4]. Therefore, minimizing accidents is a major issue that the industry must solve [5].…”

Section: Introductionmentioning

confidence: 99%

A virtual blind spot identification system (VIBSIM) for construction projects

Kıvrak

Kia

2017

Scientia Iranica

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Abstract. The construction industry is recognized as one of the most hazardous industries. Visibility-related accidents are the cause of a signi cant portion of the total fatalities within the construction industry. Limited visibility due to construction equipment blind spots and a lack of visibility in construction areas such as slab openings are among the main causes of these fatalities. This study introduces the Virtual Blind Spot Identi cation System (VIBSIM), which was designed to identify and examine blind spots in construction equipment and construction sites. The VIBSIM consists of a three-dimensional point cloud model that uses 3ds Max software in conjunction with a V-Ray rendering motor. A real case is used to validate the applicability of the proposed system. The results indicate that the system can signi cantly improve safety applications for construction projects. Moreover, the system can aid construction managers in making decisions regarding better management of such safety applications for construction projects.

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Method for testing proximity detection and alert technology for safe construction equipment operation

Cited by 87 publications

References 5 publications

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Automated Collection, Identification, Localization, and Analysis of Worker-Related Proximity Hazard Events in Heavy Construction Equipment Operation

A virtual blind spot identification system (VIBSIM) for construction projects

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