• Title/Summary/Keyword: Chemical Accident

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A method and analysis of human-error management of a semiconductor industry (반도체산업에서의 인적오류제어방법 및 연구)

  • Yoon Yong-Gu;Park Peom
    • Journal of the Korea Safety Management & Science
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    • v.8 no.1
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    • pp.17-26
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    • 2006
  • Basis frame-work's base in a semiconductor industry have gas, chemical, electricity and various facilities in bring to it. That it is a foundation by fire, power failure, blast, spill of toxicant huge by large size accident human and physical loss and damage because it can bring this efficient, connect with each kind mechanical, physical thing to prevent usefully need that control finding achievement factor of human factor of human action. Large size accident in a semiconductor industry to machine and human and it is involved that present, in system by safety interlock defect of machine is conclusion for error of behaviour. What is not construing in this study, do safety in a semiconductor industry to do improvement. Control human error analyzes in human control with and considers mechanical element and several elements. Also, apply achievement factor using O'conner Model by control method of human error. In analyze by failure mode effect using actuality example.

The Effect of Physical Factors Related to Industrial : Accidents on Manufacturing Performance in a Small/Medium-Sized Manufacturing Industry in Korea

  • Park, Hai-chun;Lee, Ann-sub
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.64
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    • pp.77-83
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    • 2001
  • In this paper, we investigated the relationship between the variables related to manufacturing environment and industrial accident. Also we wish to analyze how much these variables influence in production result of company: the manufacturing performances such as production quantity, quality, cost and delivery. For this investigation, we collected the real data from 16 small/medium-sized manufacturing companies by performing a questionnaire survey and one-site interview with the workers. Sixteen companies were made up of the following four industries: metal processing, machinery manufacturing, chemical products manufacturing and electronic products manufacturing, The data analysis was made using SPSS PC+. Based on the result of the analysis, we came to the conclusion that most of variables related to manufacturing environment and industrial safety were connecting with industrial accident occurrence and also influenced in manufacturing performance.

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A Study on the Safety Improvement of Mixed Acid Storage Facility through the Accident Investigation Applicated by RCA (혼산 저장설비 사고의 근본원인 분석을 통한 안전성 향상방안)

  • Kwon, Nam-Ho;Kim, Dong-Joon
    • Korean Journal of Hazardous Materials
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    • v.6 no.2
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    • pp.47-54
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    • 2018
  • Mixed acid is very reactive and highly corrosive. it has been causing many accidents in a electronic industry, a steel industry, and a chemical industry. Therefore, it is required that the high safety level for the acid storage facilities. In this study, we investigated the accident causes for resent leak accidents with Root Cause Analysis (RCA). The root causes analysed by RCA were categorized as nine divisions by the their characteristics. Furthermore, each nine divisions causes was applied to the PDCA model which are using at OHSAS 18001. It is suggested that the nine division with the root causes can be the essential items for the development of the safety management manual. It is helpful to the safety improvement of the acid storage facility.

The development of automatic system using multimodel in hazard analysis (위험성 분석에서의 다중모델을 이용한 자동화 시스템의 개발)

  • Kang Kyung Wook;Kang Byung Kwan;Suh Jung Chul;Yoon En Sup
    • Journal of the Korean Institute of Gas
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    • v.1 no.1
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    • pp.87-94
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    • 1997
  • There are many kinds of complicated equipments in the chemical plants. So the chemical plants have high possibility of accidents. Hazard analysis is one of the basic tasks to ensure the safety of chemical plants. However, it has many shortcomings. To overcome the problems, there have been attempts to automate this work by utilizing computer technology, particularly knowledge-based technique. However, many of the past approaches are lacking in properties: safeguard consideration, accident diversity, cause and consequence diversity, pathway leading to accidents, and various hazard analysis reasoning. Therefore, in this study, three analysis algorithms were proposed using multimodel approach, and a hazard analysis system, AHA, was developed on G2. The case study was solved with AHA system successfully.

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Constructing a Database Structure for the Domestic LP Gas and Natural Gas Accidents and its Analysis (국내 LP 및 천연가스사고 Database 구축 및 분석에 관한 연구)

  • Ko, Jae-Sun;Park, Sun-Young;Kim, Hyo
    • Journal of the Korean Institute of Gas
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    • v.12 no.3
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    • pp.56-63
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    • 2008
  • We have garnered 3,593 data of gas [Natural Gas (NG) and Liquefied Petroleum Gas (LPG)] accidents reported for 16 years from 1991, and then analyzed the accidents according to their types and causes based on the classified database. According to the results the gas leak has been the most common accident followed by the explosion and then fire accidents. The most frequent accident-occurring locations for fire, explosion and leak are recognized around the valve, hose and pipeline, respectively. In addition, we have applied the Poisson analysis to predict the most-likely probabilities of fire, explosion and release in the upcoming 5 years. From this research we have assured the successive database updating will highly improve the anticipating-probability accuracy and thus it will play a key role as a significant safety-securing guideline against the gas disasters.

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Damage Effects Modeling by Chlorine Leaks of Chemical Plants (화학공장의 염소 누출에 의한 피해 영향 모델링)

  • Jeong, Gyeong-Sam;Baik, Eun-Sun
    • Fire Science and Engineering
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    • v.32 no.3
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    • pp.76-87
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    • 2018
  • This study describes the damage effects modeling for a quantitative prediction about the hazardous distances from pressurized chlorine saturated liquid tank, which has two-phase leakage. The heavy gas, chlorine is an accidental substance that is used as a raw material and intermediate in chemical plants. Based on the evaluation method for damage prediction and accident effects assessment models, the operating conditions were set as the standard conditions to reveal the optimal variables on an accident due to the leakage of a liquid chlorine storage vessel. A model of the atmospheric diffusion model, ALOHA (V5.4.4) developed by USEPA and NOAA, which is used for a risk assessment of Off-site Risk Assessment (ORA), was used. The Yeosu National Industrial Complex is designated as a model site, which manufactures and handles large quantities of chemical substances. Weather-related variables and process variables for each scenario need to be modelled to derive the characteristics of leakage accidents. The estimated levels of concern (LOC) were calculated based on the Gaussian diffusion model. As a result of ALOHA modeling, the hazardous distance due to chlorine diffusion increased with increasing air temperature and the wind speed decreased and the atmospheric stability was stabilized.

A Study on the Correlation between Leak Hole Size, Leak Rate, and the Influence Range for Hydrochloric Acid Transport Vehicles (염산 운송차량의 누출공 크기와 누출률 및 영향범위간 상관관계 연구)

  • Jeon, Byeong-Han;Kim, Hyun-Sub
    • Journal of Environmental Health Sciences
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    • v.47 no.2
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    • pp.175-181
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    • 2021
  • Objectives: The correlation between the size of a leak hole, the volume of the leakage, and the range of influence was investigated for a hydrochloric acid tank-lorry. Methods: For the case of a tank-lorry chemical accident, KORA (Korea Off-site Risk Assessment Supporting Tool) was used to predict the leak rate and the range of influence according to the size of the leak hole. The correlation was studied using R. Results: As a result of analyzing the leak rate change according to the leak hole size in a 35% hydrochloric acid tank-lorry, as the size of the leak hole increased from 1 to 100 mm, the leak rate increased from 0.008 to 83.94 kg/sec, following the power function. As a result of calculating the range of influence under conditions ranging from 1 to 100 mm in size and 10 to 60 minutes of leakage time, it was found that the range spanned from a minimum of 5.4 m to a maximum of 307.9 m. As a result of multiple regression analysis using R, the quadratic function model best explained the correlation between the size of the leak hole, the leak time, and the range of influence with an adjected coefficient of determination of 0.97 and a root mean square error of 22.33. Conclusion: If a correlation database for the size of a leak hole is accumulated for various substances and under various conditions, the amount of leakage and the range of influence can easily be calculated, facilitating field response activities.

Particle Dispersion Model Speed Improvement and Evaluation for Quick Reaction to Pollutant Accidents (신속한 오염사고 대응을 위한 입자 분산 모형의 속도 개선 및 평가)

  • Shin, Jaehyun;Seong, Hoje;Park, Inhwan;Rhee, Dong Sop
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.537-546
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    • 2020
  • This study deals with the development and improvement of a particle dispersion model for quick response to water pollutant accidents. The developed model is based on the shear dispersion theory where vertical mixing is done by step by step mixing by vertical and molecular diffusion algorithm. For the quick response to chemical accidents, an algorithm for multi-core modeling for the particle dispersion model is applied. After the application of multi-core operation using OpenMP directives to the model, the relation for the calculation time and particle size were determined along with the number of cores used for parallel programming to determine the model time for chemical accident responses. The results showed the adequate conditions for the modeling of chemical accidents for quick response and to increase the applicability of the model.

The Development of a Fault Diagnosis Model Based on Principal Component Analysis and Support Vector Machine for a Polystyrene Reactor (주성분 분석과 서포트 벡터 머신을 이용한 폴리스티렌 중합 반응기 이상 진단 모델 개발)

  • Jeong, Yeonsu;Lee, Chang Jun
    • Korean Chemical Engineering Research
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    • v.60 no.2
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    • pp.223-228
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    • 2022
  • In chemical processes, unintended faults can make serious accidents. To tackle them, proper fault diagnosis models should be designed to identify the root cause of faults. To design a fault diagnosis model, a process and its data should be analyzed. However, most previous researches in the field of fault diagnosis just handle the data set of benchmark processes simulated on commercial programs. It indicates that it is really hard to get fresh data sets on real processes. In this study, real faulty conditions of an industrial polystyrene process are tested. In this process, a runaway reaction occurred and this caused a large loss since operators were late aware of the occurrence of this accident. To design a proper fault diagnosis model, we analyzed this process and a real accident data set. At first, a mode classification model based on support vector machine (SVM) was trained and principal component analysis (PCA) model for each mode was constructed under normal operation conditions. The results show that a proposed model can quickly diagnose the occurrence of a fault and they indicate that this model is able to reduce the potential loss.

A Study on the Calculation of Minimum Safety Distance during Storage and Combustion Test of Solid Propellants for Launch Vehicles (발사체 고체추진제의 저장 및 시험 시 안전거리 산정에 관한 연구)

  • Shin, Ahn-Tae;Park, Byung-Mun;Byun, Hun-Soo
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.180-185
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    • 2021
  • In accordance with the revision of the US-Korea missile guidelines, restrictions on the use of solid propellants for space launch vehicles have been completely lifted. The solid propellant can be used as a solid propellant rocket like the KSR-1 (Korea Sounding Rocket-1), and can also be used as a thrust augmentation booster for liquid fuel launch vehicles. It is known that solid propellants have a lower risk of explosion than liquid propellants. but if an accident such as an explosion at the Alcantara Launch Center in Brazil occurs, it can lead to a large-scale personal accident. In order to prevent such large-scale accidents, it is necessary to review and reflect the minimum safety distance during use, storage and combustion test of solid propellants from the planning phase of the project. In this paper, the minimum safety distance for safe use of the solid propellant is presented by dividing it into storage facilities and combustion tests.