scholarly journals Development of an Active Training Method for Belt Conveyor

2021 ◽  
Vol 19 (1) ◽  
pp. 437
Author(s):  
Dawid Szurgacz ◽  
Sergey Zhironkin ◽  
Jiří Pokorný ◽  
A. J. S. (Sam) Spearing ◽  
Stefan Vöth ◽  
...  
Keyword(s):  
Underground Mining ◽  
Mining Industry ◽  
Employee Training ◽  
Conveyor Belt ◽  
Additional Stress ◽  
Training Method ◽  
Remote Work ◽  
Work Safety ◽  
Email Address ◽  
Active Training

The global situation related to the COVID-19 pandemic has forced employers to find an adequate way to conduct training in order to ensure work safety. The underground mining industry is one of the industries which, due to its nature, was not able to switch to remote work. Conducting traditional training risked spreading the virus among workers. For this purpose, it was necessary to start a search for a form of training that would be safe and would not cause additional stress for employees. Research on the development of an active employee training method and testing of the method itself was conducted online. In order to develop a method of active training, one of the most important workstations was selected, which is the operation of the conveyor belt. The training method comprises four training modules. The modules cover questions related to the operation of the conveyor belt, emergencies, its assembly and disassembly, repair and maintenance. The developed issues also take into account questions concerning natural hazards and work safety. The entire training course lasts 10 days. Every day, an employee receives a set of eight questions sent to their email address, which they must answer before starting work. The article describes the methodology and implementation of the training.

scholarly journals Fire Risk Assessment and Computer Simulation of Fire Scenario in Underground Mines

2015 ◽  
Vol 2 (1) ◽  
pp. 54 ◽  
Author(s):  
Vancho Adjiski ◽  
Zoran Despodov ◽  
Dejan Mirakovski ◽  
Stojance Mijalkovski
Keyword(s):  
Computer Simulation ◽  
Working Conditions ◽  
Underground Mining ◽  
Mining Industry ◽  
Employee Training ◽  
Fire Risk ◽  
Underground Mines ◽  
Fire Occurrence ◽  
Systematic Analysis ◽  
Loss Of Life

Unsafe working conditions in underground mines have led to a number of accidents, loss of life, damage to property, interruption of production, etc. Safety is essential in mining industry, which in recent years mainly focuses on injury prevention in the workplace through a variety of procedures and employee training. The primary goal of this paper is to present a methodology with systematic analysis to determine the most risky places for fire occurrence in underground mines and using a computer simulation to determine the movement of smoke and fire gases trough underground mining facilities from which depends the safe evacuation of all employees.

The Nature of Mining-Induced Horizontal Displacement of Surface on the Example of Several Coal Mines

2014 ◽  
Vol 59 (4) ◽  
pp. 971-986 ◽  
Author(s):  
Krzysztof Tajduś
Keyword(s):  
Underground Mining ◽  
Mining Industry ◽  
Horizontal Displacement ◽  
Surface Slope ◽  
Proportionality Coefficient ◽  
Model Studies ◽  
Displacement Vectors ◽  
Mining Conditions ◽  
Design Projects ◽  
Academy Of Sciences

Abstract The paper presents the analysis of the phenomenon of horizontal displacement of surface induced by underground mining exploitation. In the initial part, the basic theories describing horizontal displacement are discussed, followed by three illustrative examples of underground exploitation in varied mining conditions. It is argued that center of gravity (COG) method presented in the paper, hypothesis of Awierszyn and model studies carried out in Strata Mechanics Research Institute of the Polish Academy of Sciences indicate the proportionality between vectors of horizontal displacement and the vector of surface slope. The differences practically relate to the value of proportionality coefficient B, whose estimated values in currently realized design projects for mining industry range between 0.23r to 0.42r for deep exploitations, whereas in the present article the values of 0.33r and 0.47r were obtained for two instances of shallow exploitation. Furthermore, observations on changes of horizontal displacement vectors with face advancement indicated the possibility of existence of COG zones above the mined-out field, which proved the conclusions of hitherto carried out research studies (Tajduś 2013).

scholarly journals Automation and Robotization of Underground Mining in Poland

2020 ◽  
Vol 10 (20) ◽  
pp. 7221
Author(s):  
Łukasz Bołoz ◽  
Witold Biały
Keyword(s):  
Artificial Intelligence ◽  
International Research ◽  
Underground Mining ◽  
Mining Industry ◽  
Specific Character ◽  
Research Centers ◽  
Rescue Work ◽  
Machine System ◽  
Foreign Companies

The article concerns the condition of automation and robotization of underground mining in Poland. Attention has been focused on the specific character of the mining industry. This limits the possibility of using robotization, and sometimes even the mechanization of certain processes. In recent years, robotic and automated machines and machine system solutions have been developed and applied in Poland. They are autonomous to a various degree, depending on the branch. The type of automation and artificial intelligence depends on the specific use. Some examples presently being used include the MIKRUS automated longwall system and autonomous device(s) for breaking rocks or mining rescue work. In Poland, fully automated plow systems produced by foreign companies are also used. Companies in Poland and international research centers are also actively engaged in the development of underwater and space mining. where robotization is of key importance. Research is also being undertaken by Robotics in Mining, euRobotics and PERASPERA as well as Space Mining Conference.

scholarly journals Collision Avoidance System for the Underground Mining Industry

2015 ◽  
Vol 48 (17) ◽  
pp. 60-65
Author(s):  
Dipl.-Ing. Kai Neumann ◽  
Dipl.-Ing. Jan Berg ◽  
Gerhard Möllemann ◽  
Dr.-Ing. Karl Nienhaus
Keyword(s):  
Collision Avoidance ◽  
Underground Mining ◽  
Mining Industry ◽  
Collision Avoidance System

scholarly journals Tendencies of Mining Technology Development in Relation to Deep Mines

2019 ◽  
Vol 4 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Ngoc Minh Nguyen ◽  
Duc Thang Pham
Keyword(s):  
Technology Development ◽  
Underground Mining ◽  
Coal Mines ◽  
Mining Industry ◽  
Mineral Resources ◽  
Rock Breaking ◽  
Machine Method ◽  
Deep Mining ◽  
Global Status ◽  
Extraction Processes

Mineral demand rapidly increases; as a result, underground mining activities gradually dig into the earth’s crust to deeper levels. For instance, the depth of coal mines has reached 1500 m, whereas the depth of mines for nonferrous metals has already achieved around 4500 m. Deep mining faces a number of technical and environmental challenges, first of all, great rock mass stresses, high temperature and long winding distance. The traditional technologies are hardly capable to provide the development and extraction efficiency and safety. That is why the need in developing and implementation of new modern mining technologies arose. In roadheading, TBM (tunnelboring machine) method is gradually introduced. A TBM combines the functions of rock breaking, support installation, mucking and conveying rock. In mining industry, smart mining based on mechanized and automated mining methods is successfully implemented at coal mines. Besides, a technical concept of fluidized mining for deepseated mineral resources (6000 m and more) was proposed. This paper presents the review of the current global status of deep mining and highlights some of the newest technological achievements in roadheading and the mineral extraction processes.

scholarly journals DETERMINANTS OF ACCIDENT IN THE MINES: A RETROSPECTIVE STATISTICAL ANALYSIS OF MINING ACCIDENTS IN GHANA

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Francis Frimpong ◽  
Kingsley Kwakye
Keyword(s):  
Statistical Analysis ◽  
Socioeconomic Development ◽  
Underground Mining ◽  
Current Trend ◽  
Mining Industry ◽  
Body Part ◽  
The Body ◽  
Mining Operations ◽  
Fatal Accident ◽  
Analytical Technique

The mining industry continues to be an important sector of the Ghanaian economy, contributing to the foreign exchange, employment and socioeconomic development after the colonial period. The current trend of mining operations requires greater skills and technical knowledge because they involve sophisticated machines, dangerous chemicals and explosive mechanisms, underground operations etc. Accidents in the mines just like any occupational accident may lead to deaths, injuries, disabilities and financial losses. One of the ways of improving occupational knowledge and skills is to acquire some level of understanding of accident causation mechanism. An analytical technique which will form the basis for accident and injury epidemiological studies is therefore necessary to ensure operational safety improvement. A retrospective statistical analysis of accidents in eight gold mining companies was undertaken through measures of association, hypothesis testing, trend analysis and predictive measurements. The results of the study indicate that 20% of accident cases resulted in deaths, 30% were serious and 50% minor accidents. Underground mining increases the risk fatal accident by 1.46, morning shift increases the risk of fatal accident by 4.81 and being a contract miner increases the risk of fatal accident by 1.05. The part of body injured can predict the degree of injury by reducing the error of prediction by 40.2%. Since proportion of accident fatalities increases with increasing age of miners, it is recommended that miners with higher age should not be task with high risk jobs. It is recommended again that, miners should be given improved protective clothes to guide against occurrences of fatal incidents. Especially, clothes to cover the head and upper part of the body since they top the fatality chart and the fact that fatality is strongly associated with body part. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0720/a.php" alt="Hit counter" /></p>

scholarly journals Establishing failure patterns of a Belt Conveyor System configuration

2021 ◽  
Vol 9 (10) ◽  
pp. 1030-1034
Author(s):  
Olutayo Opeyemi Ogunmilua
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Mining Industry ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Specific Knowledge ◽  
Conveyor System ◽  
Tree Analysis ◽  
Failure Patterns ◽  
System 2

Abstract: The conveyor belt is one of the most operational critical equipment’s in the mining industry, they are mostly used in the transportation of crushed materials from the crushing station to where there’ll be further processed. Due to the increasing complexity of belt conveyor systems, managing their integrity has become even more difficult, as they are now used across various industries, environments and carry materials of different weight variations, leaving them susceptible to failures (1). This paper provides an industry specific knowledge on belt conveyor systems, their respective components, and how they are configured using fault tree analysis to predict the different branches of event that can contribute to the failure of a belt conveyor system. The use of fault tree analysis sheds more light on how cascading failures can occur, where the failure of one component leads to the failure of the overall system. (2) Keywords: RCFA, FMEA Opex, FTA, Capex, Eca, Ttf, Ttr.

scholarly journals Failure Rate Prediction of Belt Conveyor Systems using 2-parameter Weibull distribution

2021 ◽  
Vol 9 (10) ◽  
pp. 1035-1039
Author(s):  
Olutayo Opeyemi Ogunmilua
Keyword(s):  
Failure Rate ◽  
Scale Parameter ◽  
Mining Industry ◽  
Conveyor Belt ◽  
Time To Failure ◽  
Belt Conveyor ◽  
System 2 ◽  
Accuracy Of Results ◽  
Component Failures ◽  
Belt System

Abstract: The conveyor belt is one of the most operational critical equipment’s in the mining industry, they are mostly used in the transportation of crushed materials from the crushing station to where there’ll be further processed. Due to the increasing complexity of belt conveyor systems, managing their integrity has become even more difficult, as they are now used across various industries, environments and carry materials of different weight variations, leaving them susceptible to failures (1). This paper provides an industry specific knowledge on how Weibull analysis can be used to predict the failure rate of a conveyor belt system, using parameters such as the time to failure (TTF), installation and failure dates, as determinant parameters for the predictions. Several Weibull failure distributions and functions have been used to establish accuracy of results and to create comparisons on the different ways in which risk, unreliability and availability are quantified, using calculated values such as the Shape and scale parameter. The paper utilizes real world case studies in the area of mining, which sheds light on key component failures and their cut sets within the conveyor belt system (2) Keywords: TTF, TTR, Threshold parameter, Repair date, Shape parameter, B10, B15, B20, Scale parameter, ECA, CDF, PDF

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