The Electronic Hard Hat: CSCW on the Construction Site

1996 ◽  
pp. 23-39
Author(s):  
David Madigan
Keyword(s):  
Construction Site ◽  
Hard Hat

The Influence of Hard Hat Design Features on Head Acceleration Attenuation

2020 ◽  
pp. 1-7
Author(s):  
Arthur Alves Dos Santos ◽  
James Sorce ◽  
Alexandra Schonning ◽  
Grant Bevill
Keyword(s):  
Lead Shot ◽  
Construction Site ◽  
Head Acceleration ◽  
Protective Capacity ◽  
Design Features ◽  
Shell Design ◽  
Hybrid Iii ◽  
Hard Hat ◽  
Head Neck

This study evaluated the performance of 6 commercially available hard hat designs—differentiated by shell design, number of suspension points, and suspension tightening system—in regard to their ability to attenuate accelerations during vertical impacts to the head. Tests were conducted with impactor materials of steel, wood, and lead shot (resembling commonly seen materials in a construction site), weighing 1.8 and 3.6 kg and dropped from 1.83 m onto a Hybrid III head/neck assembly. All hard hats appreciably reduced head acceleration to the unprotected condition. However, neither the addition of extra suspension points nor variations in suspension tightening mechanism appreciably influenced performance. Therefore, these results indicate that additional features available in current hard hat designs do not improve protective capacity as related to head acceleration metrics.

scholarly journals A Study on Data Collection and Object Detection using Faster R-CNN for Application to Construction Site Safety

2020 ◽  
Vol 20 (1) ◽  
pp. 119-126
Author(s):  
Daeseong Kim ◽  
Jungsik Kong ◽  
Jaehoon Lim ◽  
Byungchoon Sho
Keyword(s):  
Artificial Intelligence ◽  
High Risk ◽  
Data Collection ◽  
Learning Model ◽  
Construction Site ◽  
Construction Sector ◽  
Industrial Accidents ◽  
Average Precision ◽  
Safety Protection ◽  
Hard Hat

Among the industrial accidents occurring in Korea, the construction sector accounts for 28.55% of theaccidents associated with this high-risk sector. Although active progress is being made to reduce such industrial accidents, studies concerning the applications to construction site safety are currently insufficient. In this study, research is conducted on the development of a Korean data learning model using the latest in artificial intelligence algorithms, R-CNN, for the identification of safety protection equipmentworn by workers in the field. As a result of this study, the discriminant data learning model concerning the donning of a new Korean safety hard hat provided excellent results with a mean average precision of 0.82. This advancement is expected to reduce industrial accidents in the field of construction and improve safety.

Research on Construction and Function of Safety Monitoring Sys- tem for Integrated Construction Site Based on BIM

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Dan Xin
Keyword(s):  
Monitoring System ◽  
Safety Management ◽  
Safety Monitoring ◽  
Information Collection ◽  
Construction Site ◽  
Management Efficiency ◽  
Lack Of Information ◽  
Safety Monitoring System ◽  
And Function

The effective construction of safety monitoring system at construction site depends on perfect management system and advanced technical support. And the lack of information technology platform, resulting in reduced management efficiency, information is not accurate and other issues. Based on the construction site safety monitoring system to achieve the goal, to do a good job in advance prevention, to take the latest information collection technology RFID and BIM integrated comprehensive and effective monitoring of the construction site, constitute the main technology in the monitoring system, thus ensuring the construction site safety monitoring efficiency , Comprehensive, real-time, etc., on the management and technical two points to achieve the construction site safety monitoring, improve the quality of safety management.

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