• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.602-603
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• 2015

Despite all efforts to reduce construction disaster, construction site accident rate has steadily increased in Korea since 2008. As a different approach from traditional research, there is a growing issue about design for safety concept to prevent construction disaster. The notion is that construction worker's safety need to be considered at design phase, not only at construction phase. Globally, the notion has been noted that to improve the safety of the worker and used in practice. However, in Korea, most of safety management guidelines are limited to construction phase. From recent statistics, only 1.4 percent of designer feel responsible for safety accident at construction site. In this circumstance, this research find out safety guidelines through literatures reviews and practical experience of safety management in other country which apply design for safety concept. Selected guidelines are verified by survey which is evaluated with risk, function, cost, time and aesthetic view categories. Through the survey, define guidelines which could be effectively applied in Korea. By using proposed safety guidelines for design phase, preventing construction accident and improving designer's recognition of safety issue at design phase are expected.

• 한국건설관리학회논문집
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• 제21권3호
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• pp.65-75
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• 2020

본 연구에서는 건설업 작업종사자들을 대상으로 회사의 건설안전관리시스템, 작업자들의 안전의식과 안전준수행동 간의 영향 관계를 검증하는 것을 목적으로 하였다. 작업종사자 357명을 대상으로 설문조사를 수행하였으며, SPSS 25.0 프로그램을 이용하여 통계적 분석을 수행하였다. 그 결과 다음과 같은 주요 결과를 도출하였다. 첫째, 건설안전관리시스템이 작업자 안전의식에 미치는 영향을 검증한 결과, 건설안전관리시스템 요인인 관리감독자 역량, 사내 건설안전관리, 건설안전교육, 건설재해 평가 모두 작업자의 안전의식에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 작업자의 안전의식이 안전준수행동에 미치는 영향을 검증한 결과, 작업자의 안전의식은 안전준수행동에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 건설안전관리시스템이 안전준수행동에 미치는 영향을 검증한 결과, 건설안전관리시스템 요인인 관리감독자 역량, 사내 건설안전관리, 건설안전교육, 건설재해 평가 요인 모두 안전준수행동에 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 또한, 본 연구를 통해 작업자의 안전의식과 안전준수행동을 높이기 위해서는 작업현장의 안전을 담당하는 관리감독자 역량이 가장 중요한 안전관리 요인임을 확인하였다.

• 한국건축시공학회지
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• 제23권1호
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• pp.81-92
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• 2023

According to the 2020 industrial accident reports of the Ministry of Employment and Labor, the number of fatal accidents in the construction industry over the past 5 years has been higher than in other industries. Of these more than 50% of fatal accidents are initially caused by fall accidents. The central government is intensively managing falling/jamming protection device and the use of personal protective equipment to eradicate the inappropriate factors disrupting safety at construction sites. In addition, although efforts have been made to prevent safety accidents with the proposal of the Special Act on Construction Safety, fatalities on construction sites are constantly occurring. Therefore, this study developed a model that automatically detects the wearing state of the worker's safety helmet and belt using computer vision technology. In considerations of conditions occurring at construction sites, we suggest an optimization method, which has been verified in terms of the accuracy and operation speed of the proposed model. As a result, it is possible to improve the efficiency of inspection and patrol by construction site managers, which is expected to contribute to reinforcing competency of safety management.

• 한국지반환경공학회 논문집
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• 제14권8호
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• pp.45-51
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• 2013

분진, 소음, 진동 등 열악한 환경을 가진 지하구조물 건설현장에서는 작업자의 위치추적 및 원활한 감독자의 작업 전달과 함께 위험사고 발생 시 신속한 건설현장의 작업자 구출 등을 위한 기술개발이 절실히 요구되고 있다. 본 연구에서는 MEMS INS와 기압센서를 이용하여 지하공간 작업자들의 위치정보를 확보하기 위해 건설현장 테스트를 실시하였고, 검출된 결과를 바탕으로 위치 및 표고에 대한 정확도 분석을 수행하여 그 활용성에 대한 검증을 하였다. 연구수행결과 4km 구간에 대하여 작업자의 수평위치정확도는 10m 이내로 발생하였으며, 수직위치정확도의 경우 4m 이내로 층간 구분이 가능한 수준까지 위치정확도를 확보할 수 있어 지하구조물 건설현장에서의 활용성이 충분한 것으로 분석되었다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1242-1242
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• 2022

Annually, several construction workers fall ill, are injured, or die due to heat-related exposure. The prevalence of work-related heat illness may rise and become an issue for workers operating in temperate climates, given the increase in frequency and intensity of heatwaves in the US. An increase in temperature negatively impacts physical exertion levels and mental state, thereby increasing the potential of accidents on the job site. To reduce the impact of heat stress on workers, it is critical to develop and implement measures for monitoring physical exertion levels and mental state in hot conditions. For this, limited studies have evaluated the utility of wearable biosensors in measuring physical exertion and mental workload in hot conditions. In addition, most studies focus solely on male participants, with little to no reference to female workers who may be exposed to greater heat stress risk. Therefore, this study aims to develop a process for objective and continuous assessment of worker physical exertion and mental workload using wearable biosensors. Physiological data were collected from eight (four male and four female) participants performing a simulated drilling task at 92oF and about 50% humidity level. After removing signal artifacts from the data using multiple filtering processes, the data was compared to a perceived muscle exertion scale and mental workload scale. Results indicate that biosensors' features can effectively detect the change in worker physical and mental state in hot conditions. Therefore, wearable biosensors provide a feasible and effective opportunity to continuously assess worker physical exertion and mental workload.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.877-885
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• 2022

Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.904-911
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• 2022

Occlusion is one of the most challenging problems for computer vision-based construction monitoring. Due to the intrinsic dynamics of construction scenes, vision-based technologies inevitably suffer from occlusions. Previous researchers have proposed the occlusion handling methods by leveraging the prior information from the sequential images. However, these methods cannot be employed for construction object detection in non-sequential images. As an alternative occlusion handling method, this study proposes a data augmentation-based framework that can enhance the detection performance under occlusions. The proposed approach is specially designed for rebar occlusions, the distinctive type of occlusions frequently happen during construction worker detection. In the proposed method, the artificial rebars are synthetically generated to emulate possible rebar occlusions in construction sites. In this regard, the proposed method enables the model to train a variety of occluded images, thereby improving the detection performance without requiring sequential information. The effectiveness of the proposed method is validated by showing that the proposed method outperforms the baseline model without augmentation. The outcomes demonstrate the great potential of the data augmentation techniques for occlusion handling that can be readily applied to typical object detectors without changing their model architecture.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.450-457
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• 2022

The construction industry is demanding, dynamic, and complex making it difficult for workers to recognize hazards. The nature of construction tasks exposes workers to several critical risk factors, such as a high rate of exertion and fatigue. Recent studies suggest that fatigue may impact hazard recognition in the construction industry. However, most studies rely on subjective measures when assessing the relationship between physical fatigue and hazard recognition, limiting such studies' efficacy. Thus, this study examined the relationship between physical fatigue and hazard recognition using a controlled experiment. Worker fatigue levels were captured using physiological data and a subjective exertion scale. The findings confirmed that physical exertion plays a significant role in hazard recognition skills (p < 0.05). This research contributes to theory and practice by providing a process for objectively assessing the influence of physical fatigue on worker safety and providing construction professionals with some critical insight needed to improve workplace safety.

• 한국건축시공학회지
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• 제15권5호
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• pp.527-536
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• 2015

본 연구에서는 외국인 근로자 중 가장 높은 비율을 차지하고 있는 중국 조선족 근로자와 한국인 근로자를 대상으로 하여 조선족 및 한국인 근로자의 근로조건을 비교하고, 근로조건이 직무만족에 미치는 영향을 분석하고자 하였다. 그래서 근로조건이 이러한 직무만족에 미치는 영향을 분석한 결과, 기본임금, 급식, 여가시설은 직무만족에 긍정적인 영향을 주는 것으로 분석되었다. 그러나 한국인 근로자와 조선족 근로자를 서로 비교하여 본 결과, 조선족 근로자에게 기본임금이 주는 영향은 기존의 평균 결과보다도 높은 수치로 확인되었으며, 급식과 여가시설은 조선족 근로자에게는 영향을 거의 주지 않는 것으로 확인되었다. 이를 통하여 조선족 근로자와 한국인 근로자는 영향을 주는 변수가 서로 다른 것이 확인되었다.

• 대한안전경영과학회지
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• 제16권3호
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• pp.35-44
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• 2014

This study empirically examines how much effect levels of fatigue and stress of a construction worker have on disaster risks from the perspective of human factors concerning construction disaster risks. To achieve the purpose of this study, a survey was conducted with respect to construction workers working at large construction sites within the metropolitan area. The retrieved survey data were analyzed by using the statistical software programs, SPSS 18.0 and AMOS 8.0. The results of this study do not definitively lead to the conclusion that the level of fatigue or stress of construction workers result in disaster risks. However, it does show that the results vary depending upon the individual approach and treatment of stress and fatigue. In particular, this study revealed that disaster risk levels could increase through unsafe behavior intentions which were established as a mediator variable. Also, with respect to unsafe behavior intentions of construction workers leading to disaster risks, when examining the results that the level of mental fatigue, occupational stress and social-psychological stress of construction workers had a greater significant effect than the level of physical fatigue, this study demonstrates the importance of psychological and mental issues that could be easily overlooked with respect manual labor workers.