Risk assessment of occupational groups working in open pit mining: Analytic Hierarchy Process

Kasap, Yaşar; Subaşı, Ela

doi:10.1016/j.jsm.2017.07.001

Cited by 38 publications

(24 citation statements)

References 6 publications

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“…In this study, after a two-round Delphi investigation, a three-grade evaluation system was established. The weight values were calculated as mentioned before 25. In brief, pairwise comparisons were used to identify how more valuable an indicator was to the system than another indicator.…”

Section: Methodsmentioning

confidence: 99%

Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China

et al. 2018

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Section: Methodsmentioning

confidence: 99%

Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China

et al. 2018

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“…Many hillside open-pit mines are transformed into deep mines, which leads to increasing the overall angles of slopes and consequently, an increased landslide risk [ 3 ]. The statistics of industrial accidents that occurred during the 2005–2010 open-pit coal production period in Turkish coal companies indicates that the most likely risks in open-pit mines are related to mine slopes [ 4 ]. According to the US Centers for Disease Control and Prevention (CDC) statistics for mine disasters in 2014, mine slope-related accidents were most reported in quarry operations, accounting for 33.3% of all accidents [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

Zhang

Tao

Meng

et al. 2021

Sensors

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With the growth in demand for mineral resources and the increase in open-pit mine safety and production accidents, the intelligent monitoring of open-pit mine safety and production is becoming more and more important. In this paper, we elaborate on the idea of combining the technologies of photogrammetry and camera sensor networks to make full use of open-pit mine video camera resources. We propose the Optimum Camera Deployment algorithm for open-pit mine slope monitoring (OCD4M) to meet the requirements of a high overlap of photogrammetry and full coverage of monitoring. The OCD4M algorithm is validated and analyzed with the simulated conditions of quantity, view angle, and focal length of cameras, at different monitoring distances. To demonstrate the availability and effectiveness of the algorithm, we conducted field tests and developed the mine safety monitoring prototype system which can alert people to slope collapse risks. The simulation’s experimental results show that the algorithm can effectively calculate the optimum quantity of cameras and corresponding coordinates with an accuracy of 30 cm at 500 m (for a given camera). Additionally, the field tests show that the algorithm can effectively guide the deployment of mine cameras and carry out 3D inspection tasks.

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“…Health and safety standards vary depending on the status of the infrastructure, technology development and development priorities in this sector (Mainardi, 2005). Mine accidents have different causes and consequences, but the main concern is the casualties (Kasap and Subaşı, 2017). Despite the significant reduction in mine damages, accidents are still widespread in mining compared to other industries (Komljenovic et al, 2008) because in mining, there are always a variety of hazards.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Management of Safety Risks Through Hierarchical Analysis in Fuzzy Sets Type 1 and Type 2: A Case Study (Faryab Chromite Underground Mines)

Siahuei

Ataei

Rafiee

et al. 2021

MGPB

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There is a high rate of casualty among miners in the world every year. One way to reduce accidents and increase safety in mines is to use the risk management process to identify and respond to major hazards in mines. The present study is an attempt to investigate the assessment and management of safety risks in Faryab chromite underground mines. In this paper, the method of AHP in type-1 and type-2 fuzzy sets is used for risk assessment. Upon studying two underground mines of Faryab chromite (Makran and Nemat), 45 hazards were divided into 9 groups, among which 7 main risks were eventually identified. The risk assessment showed that the most important hazards in the Nemat underground mine are the required airflow, the lack of proper scaling and post-blast scaling. Similarly, the assessment of hazards in the Makran underground mine showed that post-blast scaling, absence of proper scaling, and proper ventilation of dust, are the most important hazards. Finally, after detecting the causes of the accidents, based on the records of accidents at the mine safety, health, and environmental unit, technical personnel’s descriptions, and similar risk projects, proper responses are prepared for each group of hazards.

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Risk assessment of occupational groups working in open pit mining: Analytic Hierarchy Process

Cited by 38 publications

References 6 publications

Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China

Establishment and application of an index system for prevention of coal workers’ pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China

An Optimum Deployment Algorithm of Camera Networks for Open-Pit Mine Slope Monitoring

Assessment and Management of Safety Risks Through Hierarchical Analysis in Fuzzy Sets Type 1 and Type 2: A Case Study (Faryab Chromite Underground Mines)

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