Atmospheric monitoring systems (AMS) have been widely used in underground coal mines in the United States for the detection of fire in the belt entry and the monitoring of other ventilation-related parameters such as airflow velocity and methane concentration in specific mine locations. In addition to an AMS being able to detect a mine fire, the AMS data have the potential to provide fire characteristic information such as fire growth - in terms of heat release rate - and exact fire location. Such information is critical in making decisions regarding fire-fighting strategies, underground personnel evacuation and optimal escape routes. In this study, a methodology was developed to calculate the fire heat release rate using AMS sensor data for carbon monoxide concentration, carbon dioxide concentration and airflow velocity based on the theory of heat and species transfer in ventilation airflow. Full-scale mine fire experiments were then conducted in the Pittsburgh Mining Research Division's Safety Research Coal Mine using an AMS with different fire sources. Sensor data collected from the experiments were used to calculate the heat release rates of the fires using this methodology. The calculated heat release rate was compared with the value determined from the mass loss rate of the combustible material using a digital load cell. The experimental results show that the heat release rate of a mine fire can be calculated using AMS sensor data with reasonable accuracy.
{"title":"Characterization of a mine fire using atmospheric monitoring system sensor data.","authors":"L Yuan, R A Thomas, L Zhou","doi":"10.19150/me.7567","DOIUrl":"https://doi.org/10.19150/me.7567","url":null,"abstract":"<p><p>Atmospheric monitoring systems (AMS) have been widely used in underground coal mines in the United States for the detection of fire in the belt entry and the monitoring of other ventilation-related parameters such as airflow velocity and methane concentration in specific mine locations. In addition to an AMS being able to detect a mine fire, the AMS data have the potential to provide fire characteristic information such as fire growth - in terms of heat release rate - and exact fire location. Such information is critical in making decisions regarding fire-fighting strategies, underground personnel evacuation and optimal escape routes. In this study, a methodology was developed to calculate the fire heat release rate using AMS sensor data for carbon monoxide concentration, carbon dioxide concentration and airflow velocity based on the theory of heat and species transfer in ventilation airflow. Full-scale mine fire experiments were then conducted in the Pittsburgh Mining Research Division's Safety Research Coal Mine using an AMS with different fire sources. Sensor data collected from the experiments were used to calculate the heat release rates of the fires using this methodology. The calculated heat release rate was compared with the value determined from the mass loss rate of the combustible material using a digital load cell. The experimental results show that the heat release rate of a mine fire can be calculated using AMS sensor data with reasonable accuracy.</p>","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 6","pages":"57-62"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568576/pdf/nihms888613.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35302162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Pittsburgh Mining Research Division of the U.S. National Institute for Occupational Safety and Health (NIOSH) conducted underground evaluations in an attempt to quantify respirable rock dust generation when using untreated rock dust and rock dust treated with an anticaking additive. Using personal dust monitors, these evaluations measured respirable rock dust levels arising from a flinger-type application of rock dust on rib and roof surfaces. Rock dust with a majority of the respirable component removed was also applied in NIOSH's Bruceton Experimental Mine using a bantam duster. The respirable dust measurements obtained downwind from both of these tests are presented and discussed. This testing did not measure miners' exposure to respirable coal mine dust under acceptable mining practices, but indicates the need for effective continuous administrative controls to be exercised when rock dusting to minimize the measured amount of rock dust in the sampling device.
{"title":"Respirable dust measured downwind during rock dust application.","authors":"M L Harris, J Organiscak, S Klima, I E Perera","doi":"10.19150/me.7504","DOIUrl":"https://doi.org/10.19150/me.7504","url":null,"abstract":"<p><p>The Pittsburgh Mining Research Division of the U.S. National Institute for Occupational Safety and Health (NIOSH) conducted underground evaluations in an attempt to quantify respirable rock dust generation when using untreated rock dust and rock dust treated with an anticaking additive. Using personal dust monitors, these evaluations measured respirable rock dust levels arising from a flinger-type application of rock dust on rib and roof surfaces. Rock dust with a majority of the respirable component removed was also applied in NIOSH's Bruceton Experimental Mine using a bantam duster. The respirable dust measurements obtained downwind from both of these tests are presented and discussed. This testing did not measure miners' exposure to respirable coal mine dust under acceptable mining practices, but indicates the need for effective continuous administrative controls to be exercised when rock dusting to minimize the measured amount of rock dust in the sampling device.</p>","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 5","pages":"69-74"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502829/pdf/nihms873058.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35169490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Human thermoregulation model for analyzing the performance of mine refuge alternatives","authors":"M. Klein, M. Hepokoski","doi":"10.19150/ME.7503","DOIUrl":"https://doi.org/10.19150/ME.7503","url":null,"abstract":"","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"63-68"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42204613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discussion of “Defining hazard from the mine worker’s perspective”","authors":"P. Mousset-Jones","doi":"10.19150/me.7394","DOIUrl":"https://doi.org/10.19150/me.7394","url":null,"abstract":"","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"48-48"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45371290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federal regulations require the installation of refuge alternatives (RAs) in underground coal mines. Mobile RAs have a limited ability to dissipate heat, and heat buildup can lead to a life-threatening condition as the RA internal air temperature and relative humidity increase. The U.S. National Institute for Occupational Safety and Health (NIOSH) performed heat testing on a 10-person tent-type training RA and contracted ThermoAnalytics Inc. to develop a validated thermal simulation model of the tested RA. The model was used to examine the effects of the constant mine strata temperature assumption, initial mine air temperature, initial mine strata surface temperature (MSST), initial mine strata temperature at depth (MSTD) and mine strata thermal behavior on RA internal air temperature using 117 W (400 Btu/h) of sensible heat input per simulated miner. For the studied RA, when the mine strata temperature was treated as a constant, the final predicted RA internal air temperature was 7.1°C (12.8°F) lower than it was when the mine strata thermal behavior was included in the model. A 5.6°C (10.0°F) increase in the initial MSST resulted in a 3.9°C (7.1°F) increase in the final RA internal air temperature, whereas a 5.6°C (10°F) increase in the initial MSTD yielded a 1.4°C (2.5°F) increase in the final RA internal air temperature. The results indicate that mine strata temperature increases and mine strata initial temperatures must be accounted for in the physical testing or thermal simulations of RAs.
联邦法规要求在地下煤矿安装替代避难所(RAs)。移动RA的散热能力有限,随着RA内部空气温度和相对湿度的增加,热量的积累可能导致危及生命的情况。美国国家职业安全与健康研究所(NIOSH)对一个10人帐篷式训练RA进行了热测试,并与ThermoAnalytics公司签订合同,为被测试RA开发一个经过验证的热模拟模型。利用该模型,以每个模拟矿工117 W (400 Btu/h)的显热输入,考察了恒定矿井地温假设、初始矿井空气温度、初始矿井地表温度(MSST)、初始矿井深层温度(MSTD)和矿井地热行为对RA内部空气温度的影响。对于所研究的RA,当矿井地层温度作为一个常数时,最终预测的RA内部空气温度比考虑矿井地层热行为时低7.1°C(12.8°F)。初始MSTD增加5.6°C(10.0°F)导致最终RA内部空气温度增加3.9°C(7.1°F),而初始MSTD增加5.6°C(10°F)导致最终RA内部空气温度增加1.4°C(2.5°F)。结果表明,在物理试验或热模拟中,必须考虑矿井地层温度升高和矿井地层初始温度。
{"title":"Effects of mine strata thermal behavior and mine initial temperatures on mobile refuge alternative temperature.","authors":"D S Yantek, L Yan, P T Bissert, M D Klein","doi":"10.19150/me.7393","DOIUrl":"https://doi.org/10.19150/me.7393","url":null,"abstract":"<p><p>Federal regulations require the installation of refuge alternatives (RAs) in underground coal mines. Mobile RAs have a limited ability to dissipate heat, and heat buildup can lead to a life-threatening condition as the RA internal air temperature and relative humidity increase. The U.S. National Institute for Occupational Safety and Health (NIOSH) performed heat testing on a 10-person tent-type training RA and contracted ThermoAnalytics Inc. to develop a validated thermal simulation model of the tested RA. The model was used to examine the effects of the constant mine strata temperature assumption, initial mine air temperature, initial mine strata surface temperature (MSST), initial mine strata temperature at depth (MSTD) and mine strata thermal behavior on RA internal air temperature using 117 W (400 Btu/h) of sensible heat input per simulated miner. For the studied RA, when the mine strata temperature was treated as a constant, the final predicted RA internal air temperature was 7.1°C (12.8°F) lower than it was when the mine strata thermal behavior was included in the model. A 5.6°C (10.0°F) increase in the initial MSST resulted in a 3.9°C (7.1°F) increase in the final RA internal air temperature, whereas a 5.6°C (10°F) increase in the initial MSTD yielded a 1.4°C (2.5°F) increase in the final RA internal air temperature. The results indicate that mine strata temperature increases and mine strata initial temperatures must be accounted for in the physical testing or thermal simulations of RAs.</p>","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 4","pages":"41-48"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580723/pdf/nihms879802.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35321710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider an underground production scheduling problem which consists of determining the proper time interval(s) in which to complete each mining activity so as to maximize a mine’s discounted value, while adhering to precedence, activity durations, and production and processing limits. We present two different integer programming formulations for modeling this optimization problem. Both formulations possess a resource-constrained project scheduling problem structure. The first formulation uses a fine time discretization and is better suited for tactical mine scheduling applications. The second formulation, which uses a coarser time discretization, is better suited for strategic scheduling applications. We illustrate the strengths and weakness of each formulation with examples. Introduction: Project scheduling is an important aspect of underground mine planning that consists of determining the start dates for a given set of activities so as to maximize the value of a project, while adhering to operational and resourceavailability constraints. Important activities that require scheduling include development, drilling, stoping or other ore-extraction techniques, and backfilling. Precedence relationships impose an order in which activities can be carried out based on their location in the mine. For example, ``the activity a associated with development of an area must be completed before the activity a’ associated with extraction of that same area can begin.” Resources include attributes of the mining operation such as the amount of extraction and mill capacity available per time period, and are determined by capital and equipment availability, among other factors. Correspondingly, for our setting, resource-availability constraints consider the amount of material that can be extracted and sent to the mill (i.e., processed) per time period. We define the Underground Mine Project Scheduling Problem, or UG-PSP, as that of scheduling a set of mining activities in such a way as to maximize the net present value of the project, while adhering to precedence and resource-availability constraints; in general, optimization models for underground scheduling are more complex than their open pit counterparts (O'Sullivan, Brickey, and Newman, 2015). The UG-PSP is a particular case of the Resource-Constrained Project Scheduling Problem (RCPSP), a class of optimization problems known for their difficulty (Artigues et al., 2008). It should be noted, however, that the UG-PSP may have a multitude of feasible solutions. Many mine planning software packages typically rely on heuristics. In this article, we are concerned with using mixed-integer programming to determine a provably optimal schedule, i.e. the schedule with the highest net present value. Trout (1995) first proposed a mixed-integer program to solve a 55-stope UG-PSP over a two-year time horizon using multiple time fidelities. The detailed formulation did not gain widespread adoption due to slow solution tim
{"title":"New integer programming models for tactical and strategicunderground production scheduling","authors":"Barry King, M. Goycoolea, A. Newman","doi":"10.19150/me.7360","DOIUrl":"https://doi.org/10.19150/me.7360","url":null,"abstract":"We consider an underground production scheduling problem which consists of determining the proper time interval(s) in which to complete each mining activity so as to maximize a mine’s discounted value, while adhering to precedence, activity durations, and production and processing limits. We present two different integer programming formulations for modeling this optimization problem. Both formulations possess a resource-constrained project scheduling problem structure. The first formulation uses a fine time discretization and is better suited for tactical mine scheduling applications. The second formulation, which uses a coarser time discretization, is better suited for strategic scheduling applications. We illustrate the strengths and weakness of each formulation with examples. Introduction: Project scheduling is an important aspect of underground mine planning that consists of determining the start dates for a given set of activities so as to maximize the value of a project, while adhering to operational and resourceavailability constraints. Important activities that require scheduling include development, drilling, stoping or other ore-extraction techniques, and backfilling. Precedence relationships impose an order in which activities can be carried out based on their location in the mine. For example, ``the activity a associated with development of an area must be completed before the activity a’ associated with extraction of that same area can begin.” Resources include attributes of the mining operation such as the amount of extraction and mill capacity available per time period, and are determined by capital and equipment availability, among other factors. Correspondingly, for our setting, resource-availability constraints consider the amount of material that can be extracted and sent to the mill (i.e., processed) per time period. We define the Underground Mine Project Scheduling Problem, or UG-PSP, as that of scheduling a set of mining activities in such a way as to maximize the net present value of the project, while adhering to precedence and resource-availability constraints; in general, optimization models for underground scheduling are more complex than their open pit counterparts (O'Sullivan, Brickey, and Newman, 2015). The UG-PSP is a particular case of the Resource-Constrained Project Scheduling Problem (RCPSP), a class of optimization problems known for their difficulty (Artigues et al., 2008). It should be noted, however, that the UG-PSP may have a multitude of feasible solutions. Many mine planning software packages typically rely on heuristics. In this article, we are concerned with using mixed-integer programming to determine a provably optimal schedule, i.e. the schedule with the highest net present value. Trout (1995) first proposed a mixed-integer program to solve a 55-stope UG-PSP over a two-year time horizon using multiple time fidelities. The detailed formulation did not gain widespread adoption due to slow solution tim","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"37-42"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41511997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Pritchard, J. Hill, J. Volkwein, J. Noll, Arthur L. Miller
{"title":"Reduction in diesel particulate matter through advanced filtration and monitoring techniques","authors":"C. Pritchard, J. Hill, J. Volkwein, J. Noll, Arthur L. Miller","doi":"10.19150/me.7359","DOIUrl":"https://doi.org/10.19150/me.7359","url":null,"abstract":"","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"31-36"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46677644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating particle size distribution of blasthole samples in an openpit copper mine and its relationship with grade","authors":"R. Ganguli, A. Purvee, N. Sarantsatsral, N. Bat","doi":"10.19150/ME.7263","DOIUrl":"https://doi.org/10.19150/ME.7263","url":null,"abstract":"","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"29-33"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46951701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of flotation plant performance using micro-price analysis","authors":"G. Luttrell, A. Noble","doi":"10.19150/ME.7264","DOIUrl":"https://doi.org/10.19150/ME.7264","url":null,"abstract":"","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"34-40"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45494829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Testing of the roof bolter canopy air curtain (CAC) designed by the U.S. National Institute for Occupational Safety and Health (NIOSH) has gone through many iterations, demonstrating successful dust control performance under controlled laboratory conditions. J.H. Fletcher & Co., an original equipment manufacturer of mining equipment, further developed the concept by incorporating it into the design of its roof bolting machines. In the present work, laboratory testing was conducted, showing dust control efficiencies ranging from 17.2 to 24.5 percent. Subsequent computational fluid dynamics (CFD) analysis revealed limitations in the design, and a potential improvement was analyzed and recommended. As a result, a new CAC design is being developed, incorporating the results of the testing and CFD analysis.
{"title":"Development of a roof bolter canopy air curtain for respirable dust control.","authors":"W R Reed, G J Joy, B Kendall, A Bailey, Y Zheng","doi":"10.19150/me.7010","DOIUrl":"https://doi.org/10.19150/me.7010","url":null,"abstract":"<p><p>Testing of the roof bolter canopy air curtain (CAC) designed by the U.S. National Institute for Occupational Safety and Health (NIOSH) has gone through many iterations, demonstrating successful dust control performance under controlled laboratory conditions. J.H. Fletcher & Co., an original equipment manufacturer of mining equipment, further developed the concept by incorporating it into the design of its roof bolting machines. In the present work, laboratory testing was conducted, showing dust control efficiencies ranging from 17.2 to 24.5 percent. Subsequent computational fluid dynamics (CFD) analysis revealed limitations in the design, and a potential improvement was analyzed and recommended. As a result, a new CAC design is being developed, incorporating the results of the testing and CFD analysis.</p>","PeriodicalId":91142,"journal":{"name":"Mining engineering","volume":"69 1","pages":"33-29"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389459/pdf/nihms843197.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34917061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}