Implementing a DIKW model on a deep mine cooling system
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摘要
The South African mining industry has been experiencing increasing economic pressure. Deep mines also suffer from very hot workplaces, which leads to safety risks. These factors place stress on managers to reach their production targets while providing safe workplace conditions. The data information knowledge wisdom(DIKW) model, also known as the wisdom hierarchy, was implemented on a deep mine cooling system. This study aims to show that a simple model such as the DIKW model can assist managers in improving their deep mine cooling system's performance. The study found that the DIKW approach is a suitable approach for use on mine cooling systems to facilitate operational improvements.Applying the DIKW approach to a case study on a mine cooling system created substantial awareness and facilitated a cooling duty improvement of 55% which relates to an increase of 5.3 MW of refrigeration. The results of this study indicate that the DIKW approach may be a suitable approach to optimise management on deep mines using their existing infrastructure.
The South African mining industry has been experiencing increasing economic pressure. Deep mines also suffer from very hot workplaces, which leads to safety risks. These factors place stress on managers to reach their production targets while providing safe workplace conditions. The data information knowledge wisdom(DIKW) model, also known as the wisdom hierarchy, was implemented on a deep mine cooling system. This study aims to show that a simple model such as the DIKW model can assist managers in improving their deep mine cooling system's performance. The study found that the DIKW approach is a suitable approach for use on mine cooling systems to facilitate operational improvements.Applying the DIKW approach to a case study on a mine cooling system created substantial awareness and facilitated a cooling duty improvement of 55% which relates to an increase of 5.3 MW of refrigeration. The results of this study indicate that the DIKW approach may be a suitable approach to optimise management on deep mines using their existing infrastructure.
The South African mining industry has been experiencing increasing economic pressure. Deep mines also suffer from very hot workplaces, which leads to safety risks. These factors place stress on managers to reach their production targets while providing safe workplace conditions. The data information knowledge wisdom(DIKW) model, also known as the wisdom hierarchy, was implemented on a deep mine cooling system. This study aims to show that a simple model such as the DIKW model can assist managers in improving their deep mine cooling system's performance. The study found that the DIKW approach is a suitable approach for use on mine cooling systems to facilitate operational improvements.Applying the DIKW approach to a case study on a mine cooling system created substantial awareness and facilitated a cooling duty improvement of 55% which relates to an increase of 5.3 MW of refrigeration. The results of this study indicate that the DIKW approach may be a suitable approach to optimise management on deep mines using their existing infrastructure.
引文
[1]Macmillan H.Plus?a change?Mining in South Africa in the last 30 years-an overview.Rev Afr Polit Econ 2017;44:272-91.
[2]Donoghue AM.Occupational health hazards in mining:an overview.Occup Med(Chic Ill)2004;54:283-9.
[3]Gloy M.The use of Section 54 stoppage orders in terms of the Mine Health and Safety Act.Potchefstroom campus of the North.West University;2014.
[4]McKay D.Section 54s cost SA mines R4.8bn in 2015,and 2016 may be worse2016[accessed January 1,2017].
[5]Maurya T,Karena K,Vardhan H,Aruna M,Raj MG.Potential sources of heat in underground mines-a review.Proc Earth Planet Sci 2015;11:463-8.
[6]Tshibalo AE,Dhansay T,Nyabeze P,Chevallier L,Musekiwa C,Oliver J.Chevallier Evaluation of the geothermal energy potential for South Africa.World Geotherm Congr 2015:8.
[7]Ryan A,Euler DS.Heat stress management in underground mines.Int J Min Sci Technol 2017;27(4):651-5.
[8]Webber RCW,Franz RM,Marx WM,Schutte PC.A review of local and international heat stress indices,standards and limits with reference to ultradeep mining.South Afr Inst Min Metall 2003;1:313-24.
[9]McEwan MB.Mine refrigeration machinery and performance assessment.1st ed.Johannesburg,South Africa:Mine Ventilation Society of South Africa;2016.
[10]Tomlingson PD.Achieving world class maintenance status.Eng Min J2007;208:38-40.
[11]Tomlingson PD.Maintenance information:value added?Eng Min J2005;206:54-6.
[12]Plant R,Air M,Systems C,Mcpherson MJ.Subsurface Ventilation Engineering.M J McPherson;2015.p.905.
[13]Tomlingsqn P.Achieving world-class mining maintenance:Step 6-evaluate.Coal Age 2016;121:26-9.
[14]Ahsan S,Shah A.Data,information,knowledge,wisdom:a doubly linked chain?Int Conf Inf Knowl Eng 2006:270-8.
[15]Rowley J.The wisdom hierarchy:representations of the DIKW hierarchy.J Inf Sci 2007;33:163-80.
[16]Conger S,Probst J.Knowledge management in ITSM:applying the DIKWmodel.Intell Syst Ref Libr 2014;55:1-18.
[17]Kirsch P,Hine A,Maybury T.A model for the implementation of industry-wide knowledge sharing to improve risk management practice.Saf Sci2015;80:66-76.
[18]Tomita Y,Watanabe K,Shirasaka S,Maeno T.Applying design thinking in systems engineering process as an extended version of DIKW model.In:INCOSE Int.Symp.,vol.27;2017.p.858-70.
[19]Ardolino M,Rapaccini M,Saccani N,Gaiardelli P,Crespi G,Ruggeri C.The role of digital technologies for the service transformation of industrial companies.Int J Prod Res 2017:1-17.
[20]Almeanazel OTR.Total productive maintenance review and overall equipment.Jordan J Mech Ind Eng 2010;4:517-22.
[21]Du Plessis GE,Liebenberg L,Mathews EH,Du Plessis JN.A versatile energy management system for large integrated cooling systems.Energy Convers Manag 2013;66:312-25.
[22]Kirti M.Scada:supervisory control and data acquisition.Int J Eng Comput Sci2014;3:3743-51.
[23]Astolfi D,Scappaticci L,Terzi L.Fault diagnosis of wind turbine gearboxes through temperature and vibration data.Int J Renew Energy Res 2017;7.
[24]Paraszczak J.Understanding and assessment of mining equipment effectiveness.Min Technol 2005;114:147-51.
[25]Ugwu OO,Haupt TC.Key performance indicators and assessment methods for infrastructure sustainability-a South African construction industry perspective.Build Environ 2007;42:665-80.
[26]Branisavljevic′N,Kapelan Z,Prodanovic′D.Improved real-time data anomaly detection using context classification.J Hydroinform 2011;13.307 LP-323.
[27]Mourad M,Bertrand-Krajewski J-L.A method for automatic validation of long time series of data in urban hydrology.Water Sci Technol 2002;45.263 LP-270.
[28]du Plessis JJL,Whillier A.Elementary Thermodynamics.Vent.Occup.Environ.Eng.Mines.3rd ed.,.Pretoria,South Africa:Mine Ventilation Society of South Africa;2014.
[29]Kebede G.Knowledge management:an information science perspective.Int JInf Manage 2010;30:416-24.
[30]Karsten M,Mackay L.Underground environmental challenges in deep platinum mining and some suggested solutions.South Afr Inst Min Metall2012:177-92.
[31]MaréP,Kriel CJR,Marais JH.Energy efficiency improvements through the integration of underground mine water reticulation and cooling systems.In:2016 Int Conf Ind Commer use energy;2016.p.112-7.
[32]Brand HG,Kleingeld M,MaréP,Schutte AJ.The effect of surface Bulk Air Cooler water flow on deep-level mine temperatures.In:2017 Int Conf Ind Commer use energy;2017.p.1-6.
[33]Wallace K,Prosser B,Stinnette JD.The practice of mine ventilation engineering.Int J Min Sci Technol 2015;25(2):165-9.
[34]Chen C.Information visualisation and virtual environments.Springer Science&Business Media;2013.
[35]Northey S,Haque N,Mudd G.Using sustainability reporting to assess the environmental footprint of copper mining.J Clean Prod 2013;40:118-28.
[2]Donoghue AM.Occupational health hazards in mining:an overview.Occup Med(Chic Ill)2004;54:283-9.
[3]Gloy M.The use of Section 54 stoppage orders in terms of the Mine Health and Safety Act.Potchefstroom campus of the North.West University;2014.
[4]McKay D.Section 54s cost SA mines R4.8bn in 2015,and 2016 may be worse2016[accessed January 1,2017].
[5]Maurya T,Karena K,Vardhan H,Aruna M,Raj MG.Potential sources of heat in underground mines-a review.Proc Earth Planet Sci 2015;11:463-8.
[6]Tshibalo AE,Dhansay T,Nyabeze P,Chevallier L,Musekiwa C,Oliver J.Chevallier Evaluation of the geothermal energy potential for South Africa.World Geotherm Congr 2015:8.
[7]Ryan A,Euler DS.Heat stress management in underground mines.Int J Min Sci Technol 2017;27(4):651-5.
[8]Webber RCW,Franz RM,Marx WM,Schutte PC.A review of local and international heat stress indices,standards and limits with reference to ultradeep mining.South Afr Inst Min Metall 2003;1:313-24.
[9]McEwan MB.Mine refrigeration machinery and performance assessment.1st ed.Johannesburg,South Africa:Mine Ventilation Society of South Africa;2016.
[10]Tomlingson PD.Achieving world class maintenance status.Eng Min J2007;208:38-40.
[11]Tomlingson PD.Maintenance information:value added?Eng Min J2005;206:54-6.
[12]Plant R,Air M,Systems C,Mcpherson MJ.Subsurface Ventilation Engineering.M J McPherson;2015.p.905.
[13]Tomlingsqn P.Achieving world-class mining maintenance:Step 6-evaluate.Coal Age 2016;121:26-9.
[14]Ahsan S,Shah A.Data,information,knowledge,wisdom:a doubly linked chain?Int Conf Inf Knowl Eng 2006:270-8.
[15]Rowley J.The wisdom hierarchy:representations of the DIKW hierarchy.J Inf Sci 2007;33:163-80.
[16]Conger S,Probst J.Knowledge management in ITSM:applying the DIKWmodel.Intell Syst Ref Libr 2014;55:1-18.
[17]Kirsch P,Hine A,Maybury T.A model for the implementation of industry-wide knowledge sharing to improve risk management practice.Saf Sci2015;80:66-76.
[18]Tomita Y,Watanabe K,Shirasaka S,Maeno T.Applying design thinking in systems engineering process as an extended version of DIKW model.In:INCOSE Int.Symp.,vol.27;2017.p.858-70.
[19]Ardolino M,Rapaccini M,Saccani N,Gaiardelli P,Crespi G,Ruggeri C.The role of digital technologies for the service transformation of industrial companies.Int J Prod Res 2017:1-17.
[20]Almeanazel OTR.Total productive maintenance review and overall equipment.Jordan J Mech Ind Eng 2010;4:517-22.
[21]Du Plessis GE,Liebenberg L,Mathews EH,Du Plessis JN.A versatile energy management system for large integrated cooling systems.Energy Convers Manag 2013;66:312-25.
[22]Kirti M.Scada:supervisory control and data acquisition.Int J Eng Comput Sci2014;3:3743-51.
[23]Astolfi D,Scappaticci L,Terzi L.Fault diagnosis of wind turbine gearboxes through temperature and vibration data.Int J Renew Energy Res 2017;7.
[24]Paraszczak J.Understanding and assessment of mining equipment effectiveness.Min Technol 2005;114:147-51.
[25]Ugwu OO,Haupt TC.Key performance indicators and assessment methods for infrastructure sustainability-a South African construction industry perspective.Build Environ 2007;42:665-80.
[26]Branisavljevic′N,Kapelan Z,Prodanovic′D.Improved real-time data anomaly detection using context classification.J Hydroinform 2011;13.307 LP-323.
[27]Mourad M,Bertrand-Krajewski J-L.A method for automatic validation of long time series of data in urban hydrology.Water Sci Technol 2002;45.263 LP-270.
[28]du Plessis JJL,Whillier A.Elementary Thermodynamics.Vent.Occup.Environ.Eng.Mines.3rd ed.,.Pretoria,South Africa:Mine Ventilation Society of South Africa;2014.
[29]Kebede G.Knowledge management:an information science perspective.Int JInf Manage 2010;30:416-24.
[30]Karsten M,Mackay L.Underground environmental challenges in deep platinum mining and some suggested solutions.South Afr Inst Min Metall2012:177-92.
[31]MaréP,Kriel CJR,Marais JH.Energy efficiency improvements through the integration of underground mine water reticulation and cooling systems.In:2016 Int Conf Ind Commer use energy;2016.p.112-7.
[32]Brand HG,Kleingeld M,MaréP,Schutte AJ.The effect of surface Bulk Air Cooler water flow on deep-level mine temperatures.In:2017 Int Conf Ind Commer use energy;2017.p.1-6.
[33]Wallace K,Prosser B,Stinnette JD.The practice of mine ventilation engineering.Int J Min Sci Technol 2015;25(2):165-9.
[34]Chen C.Information visualisation and virtual environments.Springer Science&Business Media;2013.
[35]Northey S,Haque N,Mudd G.Using sustainability reporting to assess the environmental footprint of copper mining.J Clean Prod 2013;40:118-28.