• Safety and Health at Work
• /
• 제10권2호
• /
• pp.151-165
• /
• 2019

Background: Despite improvements in safety performance, the number and severity of mining-related injuries remain high and unacceptable, indicating that further reduction can be achieved. This study examines occupational accident statistics of the Ghanaian mining industry and identifies priority areas, warranting intervention measures and further investigations. Methods: A total of 202 fatal and nonfatal injury reports over a 10-year period were obtained from five mines and the Inspectorate Division of the Minerals Commission of Ghana, and they were analyzed. Results: Results of the analyses show that the involvement of mining equipment, the task being performed, the injury type, and the mechanism of injury remain as priorities. For instance, mining equipment was associated with 85% of all injuries and 90% of all fatalities, with mobile equipment, component/part, and hand tools being the leading equipment types. In addition, mechanics/repairmen, truck operators, and laborers were the most affected ones, and the most dangerous activities included maintenance, operating mobile equipment, and clean up/clearing. Conclusion: Results of this analysis will enable authorities of mines to develop targeted interventions to improve their safety performance. To improve the safety of the mines, further research and prevention efforts are recommended.

• 한국컴퓨터정보학회논문지
• /
• 제24권7호
• /
• pp.125-133
• /
• 2019

Because military weapons systems for special purposes are small and complex, they are not easy to maintain. Therefore, it is very important to maintain combat strength through quick maintenance in the event of a breakdown. In particular, naval ships are complex weapon systems equipped with various equipment, so other equipment must be considered for maintenance in the event of equipment failure, so that skilled maintenance personnel have a great influence on rapid maintenance. Therefore, in this paper, we analyzed maintenance data of defense equipment maintenance information system through text mining and social network analysis(SNA), and tried to identify the naval ship maintenance expertise. The defense equipment maintenance information system is a system that manages military equipment efficiently. In this study, the data(2,538cases) of some naval ship maintenance teams were analyzed. In detail, we examined the contents of main maintenance and maintenance personnel through text mining(word cloud, word network). Next, social network analysis(collaboration analysis, centrality analysis) was used to confirm the collaboration relationship between maintenance personnel and maintenance expertise. Finally, we compare the results of text mining and social network analysis(SNA) to find out appropriate methods for finding and finding naval ship maintenance expertise.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2011년도 춘계학술대회 논문집
• /
• pp.919-920
• /
• 2011

• 대한안전경영과학회지
• /
• 제24권4호
• /
• pp.149-156
• /
• 2022

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.2192-2197
• /
• 2005

This paper describes how to diagnose SBR plant equipment using time-series data mining. It shows the equipment diagnostics based upon vibration signals that are acquired from each device for process control. Data transform techniques including two data preprocessing skills and data mining methods were employed in the data analysis. The proposed method is not only suitable for SBR equipment, but is also suitable for other industrial devices. The experimental results performed on a lab-scale SBR plant show a good equipment-management performance.

• Safety and Health at Work
• /
• 제13권2호
• /
• pp.180-186
• /
• 2022

Background: In occupational studies, it is a known situation that technical and organizational attempts are used to prevent occupational accidents. Especially in the mining sector, if these attempts cannot prevent occupational accidents, personal protective equipment (PPE) becomes a necessity. Thus, in this study, the main objective is to examine the effects of the variables on the use of PPE and identify important factors. Methods: A questionnaire was implemented and structural equation modeling was conducted to ascertain the significant factors affecting the PPE use of mining employees. The model includes the factors that ergonomics, the efficiency of PPE and employee training, and PPE usage habit. Results: The results indicate that ergonomics and employee training have no significant effect (p > 0.05) on the use of PPE. The efficiency of PPE has a statistically meaningful effect (p < 0.05) on the use of PPE. Various variables have been evaluated in previous studies. However, none of them examined the variables simultaneously. Conclusion: The developed model in the study enables to better focus on ergonomics and employee training in the PPE usage. The effectiveness of a PPE makes its use unavoidable. Emphasizing PPE effectiveness in OHS training and even showing them in practice will increase employees' PPE usage. The fact that a PPE with high effectiveness is also ergonomic means that it will be used at high rates by the employee.

• 디지털콘텐츠학회 논문지
• /
• 제4권2호
• /
• pp.191-202
• /
• 2003

본 논문에서는 디지털 콘텐츠 학과의 고가 장비들을 효율적으로 관리하기 위해 구축된 지능형 기자재 관리 시스템의 설계 및 구현사례를 제시한다. 시스템 운영을 지원 하기위해 사용자, 장비, 사용기록의 데이터를 기반으로 데이터마이닝을 수행했으며 데이터 마이닝 과정에서 나타난 여러 유용한 규칙들을 제시했다. 분석된 정보를 이용해 사용자 위주의 운영정책과 동적 인터페이스를 제공하기 위한 웹사이트의 개인화 계획을 제시하였다.

• 한국지능시스템학회논문지
• /
• 제15권4호
• /
• pp.431-436
• /
• 2005

본 연구는 연속 회분식 반응기(SBR) 공정에서 시계열 데이터 마이닝을 이용하여 공정에 사용된 기기의 고장 진단 알고리즘 개발에 대한 내용을 보여주고 있다. 공정에서 비정상적인 반응을 유발하는 장비 관리에 대한 연구는 폭넓게 수행되고 있지 않으므로, 이러한 장비 진단은 소규모 하$\cdot$ 폐수처리장을 무인자동화로 통합관리에 유용하게 적용될 수 있다. 본 연구에서는 진동신호를 이용하여 무인자동화를 위해 선행되어야 하는 공정기기의 공장진단에 관한 알고리즘을 개발하였다.

• International Journal of Fluid Machinery and Systems
• /
• 제9권1호
• /
• pp.39-46
• /
• 2016

A high frequency hydraulic rock drill drifter with sleeve valve is developed to use on arm of excavator. In order to ensure optimal working parameters of impact system for the new hydraulic rock drill drifter controlled by sleeve valve, the performance test system is built using the arm and the hydraulic source of excavator. The evaluation indexes are gained through measurement of working pressure, supply oil flow and stress wave. The relations of working parameters to impact system performance are analyzed. The result demonstrates that the maximum impact energy of the drill drifter is 98.34J with impact frequency of 71HZ. Optimal pressure of YZ45 rock drill is 12.8 MPa-13.6MPa, in which the energy efficiency reaches above 58.6%, and feature moment of energy distribution is more than 0.650.

• 한국암반공학회:학술대회논문집
• /
• 한국암반공학회 2008년도 국제학술회의
• /
• pp.101-114
• /
• 2008

An efficient mine management system demand constant attention of mine managers on the key performance indicators like production targets, equipment status, condition of haul roads, safety etc.. There is a wealth of information generated during day to day working of the mine. The success of a mining enterprise is a function of reliability of accumulated information and decision making on the basis of such information. In the present paper a computerized mine operations management system developed for a large opencast mine making use of the potential benefits of geographical information systems, real time kinematic global positioning systems and a communication network to improve the overall efficiency of the mine is presented.