• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.279-280
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• 2022

연구실안전법에 따라 모든 연구실은 주기적으로 안전점검과 정밀안전진단을 통해 안전을 확보하고 안전환경 상태에 따라 미흡한 평가등급을 받으면 연구 활동에 제약을 받는 제도가 시행되고 있다. 하지만 현재의 점검 및 진단제도는 안전분야별 각 점검항목에 대해 양호, 주의 및 불량 등 이상 3가지로만 평가하고 있으며 각 점검항목에 대해서도 안전에 미치는 영향에 따른 가중치가 고려되지 않아 평가 대상 연구실에 대한 종합적인 안전수준을 확인하는 데 한계가 있다. 이에 연구실 안전전반에 관한 점검항목을 추가하고 평가기준도 가중치를 고려하여 평가결과가 정량적인 점수로 도출될 수 있도록 개선하여 연구주체자가 평가점수를 향상해감으로써 연구실 안전수준을 향상해 갈 수 있도록 방법을 제안해 보고자 한다.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.108-115
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• 2011

This paper informs the standard guideline of electrical inspection for the University laboratories and R&D institutes. A routine electrical inspection is there to prevent an electric shock and electrical fire accident in the Lab. The main issue of this paper is to check the problem of a routine electrical inspection and this paper provides a detailed guideline of a checklist for the Lab which do not have detailed instruction. It mentions the standard model of an effective routine inspection to upgrade the weak electrical environment in the Lab. One of the main purposes of this paper is to develop a routine checklist to control the electrical environment in the Lab. The evaluation checklist we develop will then be applied to every Lab. Introducing an electrical safety checklist builds a clear standard guideline for a real safety check. This will be used as a regular routine check-up for every Lab. The goal of this paper is to enforce safety from electrical accidents in the lab and it will provide safety guidelines for every Lab.

• The Journal of Sustainable Design and Educational Environment Research
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• v.18 no.1
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• pp.38-48
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• 2019

The purpose of this study is to present a more effective daily checklist than the formal routine check before the experiment to prevent accidents in the university laboratory. To do this, we reconstructed the current daily checklist and previous research data and conducted a second Delphi survey. As a result, there were four general safeties such as arranging the laboratory, three mechanical safeties such as abnormal condition of machine and tool tightening parts, three electric safeties such as prohibition of loading around the electric distribution panel, six chemical safeties such as handling and managing harmful factors, three items of fire safety such as fire extinguisher inspection, five cases of gas safety gas container inspection, one item of biological safety such as the state of hand sterilizer management and one other item, which were provided in the daily checklist as twenty six categories in total. According to the opinions of related experts, it is necessary to have an easy and simplified daily checklist for actual daily checkups.

• Journal of the Korean Institute of Gas
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• v.23 no.2
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• pp.45-54
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• 2019

According to the Laboratory Safety Act, each laboratory in the field of science and technology must conduct safety inspections and diagnosis every year or every two years. At present, the relevant guidelines are not clear, so there is a high possibility that inspection and diagnosis will become ineffective. In the laboratory, there is a pre-risk factor analysis system for hazardous factors, but there are many difficulties in implementation due to lack of education and understanding of the researchers, excessive work, etc. For the analysis of the opinions of experts in the safety field using the Delphi technique, we analyzed the following items: 1. Consideration in applying the Lab Safety Act, 2. Consideration in Lab Safety inspection and diagnosis, and 3. Government policy necessary for Lab. safety. Through the investigation and analysis of the detailed items, we extracted for problems and alternatives in current laboratory safety diagnosis and current law.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3636-3643
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• 2011

To prevent the electrical accidents in the laboratory, we identify problems for periodic inspections of the electric field and develop a fuzzy inference system that can be practically applied to check items. Focusing on electrical safety in the lab environment, we draw check items that can be applied in common and develop a standard checklist that is consistent with the laboratory electrical safety and the periodic inspections. Using the standard checklist we select the items that may contain a linguistic ambiguity and define the membership functions for these items. We also have a safety rating defined by the membership function. Using these fuzzy variables we form the fuzzy rules in the form of 'If-Then' and develop a fuzzy inference system through the fuzzy engine. From this, electrical accidents could be prevented in advance continuously by managing the intelligent and efficient inspection and electrical safety to prevent the electrical accidents in the laboratory.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.858-864
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• 2011

There is no standard model for a Stated Period Check and a Precise Safety Diagnosis to remove electric fire and shock in the university Lab and institute. Especially, the research for the Stated Period Check and the Precise Safety Diagnosis of the Lab related to electrical field is very weak currently, and it is very necessary to build a detail safety plan. This paper informs the specific standard guideline of the safety check list, method and equipment and it shows the way to evaluate safety grade too. This paper also provides the information of R&D process through the analysis of electrical safety check list of ordinary R&D Lab. It shows a new detail guideline to R&D Lab, and the new guideline removes existing problem and deliver the effective standard model to each R&D Lab. The standard model developed in this research adopts the clear guideline of each check list for the electrical environment of current R&D Lab. This standard model can be applied for every R&D Lab to detect routine safety check and detail safety check immediately. This Research will generally improve not only the effective safety check, but also the safety level for R&D Lab to prevent the electrical accidents.

• The Safety technology
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• no.203
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• pp.26-28
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• 2014

최근 미래창조과학부가 발표한 자료에 따르면 연구실 사고는 매년 120여 건 발생하고 있다. 이에 대한 주요 원인으로 '안전수칙 위반'과 사전 안전점검 소홀' 등이 지목됐다. 또 사고가 발생했을 때 단순히 소방서 신고에 그치는 경우가 많기 때문에 초동조치가 이뤄지지 않아 2, 3차 사고로 이어질 우려도 크다는 지적을 받아왔다. 이에 미래부는 연구실에서 발생하는 각종 안전사고에 신속하게 대응하기 위한 '연구실 사고대응 표준매뉴얼'을 마련 보급하기도 했다. 이 같이 연구실 사고에 온 사회의 시선이 집중돼 있는 요즘, 탁월한 안전관리로 주목받고 있는 기업이 있다. 바로 충북 제천시에 위치하고 있는 콜마파마(주)다. 콜마파마는 지난 2012년 2월 한국콜마(주)와 인수합병 후 본격적으로 사업을 시작하며 나날이 번창하고 있다. 같은 해 6월 사업을 개시한 이후 2013년 46.9%, 올해도 벌써 34.6%의 매출성장률이 이어나가고 있는 것이다. 기업의 성장과 빈틈 없는 안전관리라는 두 마리 토끼를 모두 잡을 수 있었던 콜마파마의 비결은 무엇일까. 그 현장을 찾아가봤다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.107-116
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• 2022

Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2^nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

• Journal of Korean Association for Spatial Structures
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• v.24 no.3
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• pp.95-107
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• 2024

In South Korea, over 400,000 Non-building Structures are inadequately managed and exposed to potential risks due to insufficient inspection systems, leading to an increase in accidents and significant losses of life and property. Therefore, it is crucial for users to conduct proactive self-inspections to identify and mitigate potential hazards. This study reclassified Non-building Structures into four main categories by analyzing their structural characteristics and associated risks through statistical analysis. Among these, retaining walls, which account for the largest proportion, were systematically analyzed to identify common damage patterns. Based on this analysis, self-inspection checklists were developed for both non-experts and experts. The proposed process involves an initial visual inspection using a simple non-expert checklist, followed by a more detailed expert-level inspection if any anomalies are detected. The reliability of this process was validated through approximately 120 validation processes.

• Journal of the Korean Institute of Gas
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• v.14 no.4
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• pp.6-11
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• 2010

The continuous fatal accidents like explosion or fire cause huge losses of both life and property in laboratories even though safety management system has been built and periodical checkups and safety diagnosis have been implementing in universities and enterprise-affiliated research institutes since Act on the Establishment of Safe Laboratory Environment was enacted in 2005 to prevent accidents in research laboratories. Cause analysis and safety management measures to prevent recurrence of accidents are urgently needed because accidents in research laboratories occur repeatedly with similar contents. This study will show results of analysis on incidents and accidents occurred in laboratories in universities and enterprise-affiliated research institutes using Root Cause Analysis Method and propose classified map of cause investigation and improvements so as to improve safety management in research laboratories.