• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.162-163
• /
• 2022

기술발전에 따라 건설현장은 스마트 안전관리기술을 활용한 안전관리의 변화가 예고되고 있다. 중대재해처벌법 시행(22.1.27)이후 50인 이상 사망사고는87건(96명)으로 전년 동기109건(111명)대비22건(20.2%), 15명(13.5%)감소한 것으로 나타났다(국토교통부,2022). 반면에 단순비교지만 일본0.14%, 미국0.37%, 영국0.03%에 비해 한국의 재해율이 높으므로 다양한 안전관리활동의 과제가 남아 있다. 이에 아차사고 유형이 건설현장 특성간의 민감도모델 제시를 기반으로 근본적인 재해관리가 연구의 목적이다. 이를 이루기 위해 국토교통부의 아차사고 발굴데이터를 분석하여 유형을 분류하고, 공사기간, 공사규모, 신체부위 등의 요인간의 아차사고 민감성요인에 대하여 Bayesian Network를 이용하여 아차사고에 영향을 주는 모델링을 제시하고자 한다.

• Journal of the Korea Institute of Construction Safety
• /
• v.4 no.1
• /
• pp.9-15
• /
• 2021

Recently, buildings have become larger, more complex, and various construction methods have been tried. As a result, the use of construction equipment continues to increase, as well as safety accidents. According to the Ministry of Employment and Labor's report on industrial accidents, the rate of deaths caused by construction equipment among construction accidents has been increasing steadily since 2009. In the safety field of other industries such as crime and traffic, research has been continuously conducted to develop quantitative indicators due to demands for development of evaluation indicators or risk index development. On the other hand, construction equipment has been studied to analyze disaster cases and come up with improvement measures, but there is no research related to risk index. Therefore, the research will develop a quantitative index that can determine the risk level of construction equipment in the field based on the accident case and verify the possibility of use in the field.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.106-106
• /
• 2017

우리나라는 현재 재난의 유형을 자연재난과 사회재난으로 구분하여 관리하고 있다. 하지만 최근 재난 사고 사례를 살펴보면 단일재난으로 인한 피해보다 자연재난이 발생한 이후 사회재난으로 재난이 전파되는 복합재난의 형태가 종종 나타나고 있다. 복합재난은 단일 재난에 의한 피해(인적, 물적) 보다 크게 나타나고 복합재난의 발생원인 및 전파과정을 분석하기 어려워 이에 대한 다각적인 분석과 동시에 재난상호간의 연관성을 도출하는 연구가 필요한 시점이다. 과거 재난사고정보를 분석하는 연구는 일반적인 통계기법을 활용한 분석에 머물러 있으며 수집된 재난사고사례가 많지 않아 분석에 신뢰성을 보장할 수 없었다. 이에 본 연구에서는 복잡하게 나타나는 재난 사고를 분석하기 위하여 최근 각광받고 있는 인공지능 분석기법을 연구에 고려하였다. 본 연구의 과정은, 첫째로 재난사고정보 분석에 인공지능을 활용한 사례를 조사하고 여타 연구분야에서 적용되고 있는 인공지능 분석기술을 재난사고정보 분석에 활용할 수 있는 방안을 모색하였다. 둘째로 수집가능 한 재난사고정보를 수집하고 인공지능 모형에 적용가능 한 형태로 변환하는 과정을 수행하였다. 셋째로 변환된 재난사고정보를 대표적인 인공지능 알고리즘을 활용하여 다양한 질문(목적)에 부합하는 재난사고정보 분석모형을 구축하고자 하였다. 마지막으로 다양한 인공지능 알고리즘을 적용한 모형의 신뢰성을 비교하였으며 이를 통하여 재난사고정보 분석에 적용가능 하며 질문(목적)에 부합하는 최적 인공지능 알고리즘을 도출하고자 하였다.

• Journal of the Korea Construction Safety Engineering Association
• /
• v.2 no.2 s.4
• /
• pp.82-104
• /
• 1992

최근 지하철공사 발주량 증가에 따라 일부현장에서 붕괴사고가 발생되고 있고 유사사고의 발생가능성도 높아, 사고예방에 도움되고자 하는 목적에서 이번사고의 원인규명 및 보강대책을 제시한다. -편집자 주-

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2023.11a
• /
• pp.141-142
• /
• 2023

소규모 건설 사업장에서는 한 사람이 과도하게 많은 관리영역에 대해서 책임을 져야하므로 특정 영역에 대해 집중적인 관리가 불가능하다. 실제로 이와 같은 소규모 프로젝트는 작은 규모로 인해서 정부의 관리 통제에서 면제되고 있는 바, 이는 소규모 건설 사업장에서의 안전관리와 안전관리에 대한 의식 수준이 낮은 주된 이유 중 하나이다. 정부는 그간 전국적 사고 발생 건수를 줄이기 위해 지속적으로 노력하고 있지만 매년 백여 명이 넘는 근로자가 건설현장에서 사망하고 있다. 이는 그간의 관리 방법으로는 일정 수준의 목표를 달성하고자 함에 있어 상당한 한계가 있다는 것을 시사한다. 건설 사업장에서 발생하는 각종 안전사고는 건축물의 대형화 복잡화함에 따라 다양한 형태로 발생되며 그 중 대형건설사는 지속적인 안전관리를 통해 안전관리 수준이 향상되었고 상대적으로 소규모 건설 사업장과는 안전수준의 격차는 커지고 있다. 따라서 본 연구에서는 상대적으로 안전 관리가 미흡하고 전체사고의 반 이상을 차자하는 소규모 건설현장의 문제점을 파악하고 이에 대한 개선방안을 제시하고자 한다.

• Journal of the Korea Convergence Society
• /
• v.10 no.9
• /
• pp.179-186
• /
• 2019

Identifying potential accidents at construction sites is a major concern for the construction industry, and, according to the Korea Occupational Safety and Health Agency, the death rate of safety accidents caused by construction equipment is particularly high at 19.8% as of 2016. Although Internet of Things (IoT) has not been applied widely in construction sites, it can build an operating system that feeds accurate and useful information to construction accident management for identifying potential accidents. In this context, this study proposes an IoT- and RTLS-based construction equipment safety accident prevention system, which can be useful for preventing and managing safety accidents caused by construction equipment. Future deployment of such system would contribute not only to the safety of workers but also to efficient equipment and manpower operation.

• Journal of the Korea Institute of Building Construction
• /
• v.21 no.1
• /
• pp.79-86
• /
• 2021

On the construction site, there exists frequently a high likelihood that a fire accident can lead to a large-scale disaster. In the previous studies, the diverse outcomes have been focused on the improvement of relative statutes and tried to realize the suppression and confrontation of the fire accidents. In this study, the limitations on the site were identified through prior research reviews, and the fire risk assessment checklist was proposed through the analysis of the massive accident cases. The checklist was divided into the prevention and minimization steps and developed into 16 categories of total risk factors. According to the results from the cases applied in this study, if the installation status is checked, such as removing combustibles, and broadcasting facilities for evacuation are installed, it is expected that the casualties will be minimized or zeroed. By developing a fire risk assessment checklist, this study provides the implications of the theoretical and realistic fire accident prevention, and supports the ways to minimize the damage resulted from the fire accidents on construction sites. In the further, deriving universe and common items about repeated occurrences of a work type will be needed as a subsequent research.

• Journal of the Society of Disaster Information
• /
• v.20 no.3
• /
• pp.644-653
• /
• 2024

Purpose: Looking for the root cause of a construction accident leads to the problem of unreasonable construction costs and air setting by the person placing an order. In addition, low-cost bidding by a contractor with insufficient capacity is combined, creating an inappropriate construction structure that can cause an accident before the start of construction. Method: Analysis of the problem that the lack of original contractor resources in the construction environment is passed on to suppliers, and the phenomenon that partners and their workers are forced to push ahead with excessive work to secure a minimum margin. Result: Going back to the root of construction accidents, there are several dimensions of causes from physical phenomena to root causes, but the reason why accident prevention measures so far remain almost at the one-dimensional level of responding to the phenomenon is the lack of fundamental cause analysis. Conclusion: It is necessary to shift the paradigm to safety accident measures led by the client (the client) and the government, and construction accidents are reduced only when root cause of construction accidents is found through fundamental cause analysis techniques such as 5Why.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.201-207
• /
• 2001

Construction accidents are very serious comparing to its workers. These kind of accidents consist in the particularity of construction. The accident prevention task in construction requires both into immediate approach and longer range approach of instruction, training and education. Information concerning each individual accident, if the information of investigation has been done well, it provides information of prevention accident. At this point, this paper by examining 800 cases of serious accident researched by the Korea Occupational Safety and Health Agency from Jan. 1992 to Dec. 2000 specifically targeting apartment and building construction develops the construction information system to suggest the proper information of construction safety.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.41 no.3
• /
• pp.305-316
• /
• 2021

Construction accidents occur due to a number of reasons-worker carelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea's Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was "Formwork" in spring and autumn, "Scaffold" in summer, and "Crane" in winter. The proposed method would enable construction safety managers to prepare better safety measures against outdoor construction accidents according to weather, season, and climate.