• Title/Summary/Keyword: Construction Site Workers

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Consciousness of Safety Engineer for Foreign Workers at a construction site (안전관리자의 건설현장 외국인 근로자에 대한 의식조사)

  • Son, Ki-Sang;Lee, Seung-Young
    • Journal of the Korea Safety Management & Science
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    • v.10 no.1
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    • pp.41-47
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    • 2008
  • Safety training for foreign workers should be thoroughly done. But it has not been done well even if field safety manager understand that the training has not been well provided. 72% of responders (Safety Managers) at field thinks that safety training has not been well provided at a site. It is shown that there are not any additional measures to correct this problem. Eventually, the reasons of that the training is not well provided, and foreign workers do not understand safe condition at site, well lead to an accident at construction site.

건설근로자의 체계적인 안전보건교육 제도 도입방안

  • Jeong, Seong-Hun
    • Proceedings of the Safety Management and Science Conference
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    • 2010.11a
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    • pp.81-91
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    • 2010
  • Daily workers in construction sites rarely receive the benefit of systematic safety and health training as they are required to move from one construction site to another in response to the start, completion, and repetition of construction works. Also, small- to medium-sized construction sites often lack the capacity to train their workers. Therefore, as in the advanced countries, basic safety training system for construction workers should be conducted in the industrial-level, rather than in individual workplace-level, to make the training more effective. By doing so, only workers with the basic safety training will be able to engage in construction works. Consequently, accidents in the construction industry will decrease, as workers themselves who are at the forefront of the construction worksites are empowered to play the central role in accident prevention activities.

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An Experimental Study on the Correlationship Between Highrised Safetyguard and Workers' Safety (안전난간유형에 따른 작업자 안전의 상관관계에 대한 실험적 연구)

  • 손기상
    • Journal of the Korean Society of Safety
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    • v.16 no.2
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    • pp.80-84
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    • 2001
  • Work stress and health are very important factors related to workers' condition and work safety, Author has conducted a couple of tests to check up three people's pulses before they work during their work for three types of safety guard in construction site. Work type, age, weight, sex experience year, ambient temperature n recorded as variables in this study. These are checked and asked by the author directly, before their pulse check Also, workers' Pulses were measured at height H-0 and H-9.0m to understand psychological the degree of psychological nervousness degree. POLAR protrainer NVTM HRM system(wrist recorder and sensor) was used for the site test. There are three(3) different types of construction safety guard which have been used for, this study. They are usually or frequently used and found in the site. Four different ranges of age groups(20's, 30's 40's, 50's) carpenters are assisted to the test sites with wearing pulse recorder and sensor respectively. All three types of safety guards have the same height 90㎝ even though they are different types. On top of five(5) stories tublar framed scaffolding is fabricated, similar to the one in site, where those safety guards are installed. The older(=more experienced) the workers are the more stable they are. it is shown. Also, It is verified the visually uncomfortable rail type can cause workers to psychologically be unstable.

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AI-based basic research to predict safety accidents for foreign workers at construction sites (AI기반 건설현장의 외국인 근로자 안전사고 예측을 위한 기본 연구)

  • Kim, Ji-Myong;Lee, JunHyeok;Kim, GyeongBin;Oh, ChangHyeon;Oh, ChangYeon;Son, SeungHyun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.251-252
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    • 2023
  • Compared to other industries the construction industry experiences more casualties and property damage due to safety accidents. One of the reasons is the increasing number of foreign workers. For this reason, past studies have found that foreign workers at construction sites are more exposed to safety accidents than non-foreign workers. Nevertheless the proportion of foreign workers involved in safety accidents at construction sites is increasing, and there has been a lack of research to predict the risk of safety accidents at construction sites. Additionally, realistic safety management is lacking due to a lack of safety accident risk prediction research. Therefore, in this study, we would like to propose basic research that proposes an AI-based safety accident prediction model framework for predicting safety accidents of foreign workers at construction sites. The framework and results of this study will contribute to reducing and preventing the risk of safety accidents for foreign workers through risk prediction for safety management of foreign workers at construction sites.

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Leveraging Visibility-Based Rewards in DRL-based Worker Travel Path Simulation for Improving the Learning Performance

  • Kim, Minguk;Kim, Tae Wan
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.5
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    • pp.73-82
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    • 2023
  • Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

Reasonable Assignment of Aged People at Construction Site (건설현장 고령근로자의 안전배치 방안에 관한 연구)

  • Kim, Sung-Rae;Son, Ki-Sang
    • Journal of the Korean Society of Safety
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    • v.27 no.1
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    • pp.32-43
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    • 2012
  • "low and old age trend" is a big social national problem in korea but also in foreign countries. The Government pursues a policy for aged people to take part in construction site as labours. Low childbirth and avoidance of 3D work kinds lead to exposure of aged workers to industry work places. According to korea department of labour, it is expected that 18% of total economic activity people in 2008 to 27.2% in 2018 be increased with age of more than 55 old years. Therefore, It is needed that more countermeasures for old workers should be taken for safer work conditions. This old workers with more than 55 old years contain major portion of accident occurrence in construction industry. It is found that accident rate in construction industry can be decreased if appropriate technical safety training is provided to them who wish to work at construction sites. Statistic analysis such as frequency, cross, logistic regression using program package SPSS 13.0 has been made after collecting questionnaire survey of more than 330 workers at construction sites.

A Study of Decreasing Critical Disaterous Accidents in Small Construction Sites (소규모 건설현장의 중대재해 저감 방안 도출을 위한 연구)

  • Paik, Sin-Won;Kim, Han-Joong;Choi, Don-Heung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.6
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    • pp.121-131
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    • 2012
  • Many of the falling which is the number one risk factor in lethal accidents in construction could have been prevented if the right activity or supervising had been taken in time. All other measures do not preventive the fall, but rather intercept the fallen itself or preventive severe injury. The most common and the bets measures on the preventive measures are guardrails which are to be worn on the site. Workers always exposed the risk of serious accidents induced by causal effects related with environments around construction sites. In order to represent how to decrease the risk of workers, this study was accomplished with a number of interview with experienced site director, cheief of instructors, workers. And the questionaire survey (2012. 5~2012. 10) were used to make proposed policies which are expected to reduce critical disastrous accidents and strength authorized limits of director's management automatically.

A study on the Causes Analysis and Preventive Measures by Disaster types in Construction Fields (건설현장에서의 재해유형별 원인 분석 및 예방대책에 관한 연구)

  • Jo, Jae-Hwan
    • Journal of the Korea Safety Management & Science
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    • v.14 no.1
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    • pp.7-13
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    • 2012
  • Recently, carelessness on safety management in construction sites has caused a sharper upward trend in accidents and disasters, compared to the past. Therefore, this study analyzes the causes of accidents that occurred on construction sites in the year of 2007, and proposes preventive measures. The construction industry had a heavy death rate with 279 out of 418 deaths from falls in all industrial sites, accounting for 66.7%. And the causation analysis found a particularly high incidence of temporary structure-related accidents, with falling off scaffolding as the most common cause of accidents. According to the causation analysis of fall-down accident cases, accidents induced by protrusion on construction sites are a big contributor resulting in the deaths of 312, accounting for 74.8%, which is deemed to be due to site disorderliness. And to remove floor protrusions and to secure workers' traffic line and safety, neat and thorough site arrangement is necessary. Against collision, efforts must be made to prevent equipment-pedestrian crashes on site, which necessarily requires emergency lamps, alarm bells, and safety poles and blocks to be installed, lighting systems to be improved, obstacles to be removed, site supervisors to be assigned to construction equipment works, and workers to be more intensely trained and supervised.

Comparative Analysis on the Impact of Construction Site Working Conditions on Worker Satisfaction - Regarding the Korean and Korean-Chinese Workers - (건설현장 근로조건이 근로자의 직무만족에 미치는 영향에 관한 비교 분석 - 한국인과 조선족 근로자를 대상으로 -)

  • Lee, Hoon-Sook;Yun, Sue-Yeon;Kim, Kyung-Hwan;Kim, Jae-Jun
    • Journal of the Korea Institute of Building Construction
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    • v.15 no.5
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    • pp.527-536
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    • 2015
  • This research focuses on comparing the impact that working conditions have on the job satisfaction of Korean and Chinese-Korean construction workers. The data shows that factors such as the quality of wages, food catering, and leisure facilities showed a positive correlation on the workers' satisfaction. Further comparative analysis showed differences between the effect these factors have on the satisfaction of Korean workers and Chinese-Korean workers, who occupy the highest portion of the foreign workforce in Korea. The analysis concluded that to the Chinese-Korean workers, wage had the strongest impact on their satisfaction over other factors, whereas this difference was not present in the Korean workers. The results of this study highlighting these differences between the worker groups can contribute to developing the efficiency of the management of construction sites in Korea.

Computer Vision-based Continuous Large-scale Site Monitoring System through Edge Computing and Small-Object Detection

  • Kim, Yeonjoo;Kim, Siyeon;Hwang, Sungjoo;Hong, Seok Hwan
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1243-1244
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    • 2022
  • In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

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