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Implementing the DIKW model on complex deep-level mine compressor systems
Mohammad, A. 2025. Implementing the DIKW model on complex deep-level mine compressor systems. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/85a0c4da-30fc-4e00-a6fc-29e097b4c90e
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867613943687544832 |
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| access_status_str | Open Access |
| author | Mohammad, Asadullah |
| author2 | Schutte, C. S. L. |
| author_browse | Mohammad, Asadullah Schutte, C. S. L. |
| author_facet | Schutte, C. S. L. Mohammad, Asadullah |
| author_sort | Mohammad, Asadullah |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Mohammad, A. 2025. Implementing the DIKW model on complex deep-level mine compressor systems. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/85a0c4da-30fc-4e00-a6fc-29e097b4c90e |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/132249 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:44:10.803Z |
| license_str | Other β see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar β Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar β Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/132249 Implementing the DIKW model on complex deep-level mine compressor systems Mohammad, Asadullah Schutte, C. S. L. Du Plessis, J. N. Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. Supervisory control systems Mining engineering -- Data processing Mine ventilation -- Automation Decision support systems UCTD Mohammad, A. 2025. Implementing the DIKW model on complex deep-level mine compressor systems. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/85a0c4da-30fc-4e00-a6fc-29e097b4c90e Thesis (MEng)--Stellenbosch University, 2025. ENGLISH ABSTRACT: The South African mining industry is crucial to the economy and remains a top gold producer despite declining output. Rising electricity prices are a challenge, expected to make up 12.5% of mining costs by 2024, up from 9% in 2023. The mining industry contributes 15% to Eskom's revenue, with mine compressors accounting for 20% to 40% of energy costs. Enhancing the energy efficiency and management of these systems can reduce costs and boost productivity. Mines use supervisory control and data acquisition (SCADA) systems to gather extensive data, but these systems mainly provide real-time data without offering meaningful insights that aid in decision-making. Current energy management practices don't effectively transform data into actionable knowledge, limiting strategic decision-making capability in the mining sector. As a result, the awareness and contextual understanding of energy-intensive mine compressor systems have diminished, leading to poor decision-making and adversely affecting the prosperity of mining operations in South Africa. The study aimed to transform data from mine compressor systems into knowledge and wisdom that supports effective energy management decisions. A contextualised version of the data, information, knowledge, and wisdom (DIKW) model was developed for mine compressor systems by leveraging the historical application of this model in the mining and other industries. The time series compressor power and flow data were collected and processed to derive accurate information. The data were transformed into information by applying the energy allocation methodology that was developed in the study to accurately and dynamically assign and monitor compressor energy usage. The information was then organised and consolidated in a comprehensive automated report imparting system- and site-specific knowledge. Effective reporting enabled the acquisition of wisdom, leading to actionable decisions in the energy management context. The benefit of the contextualised DIKW model on the mine compressor system was quantified by evaluating the impact of the remedial actions and decisions facilitated by the application of the contextualised DIKW model in an energy management context. Application of the DIKW model at two mine compressor systems realised the transformation of data into actionable insights, leading to site-specific energy management decisions. For instance, applying the DIKW model at Case Study A resulted in a compressor energy cost impact equivalent to π
7.7 πππππππ from January 2024 to August 2024, while Case Study B realised an equivalent cost impact of π
32 πππππππ from July 2023 to August 2024. Both case studies demonstrated improved compressor energy consumption awareness and responsiveness to site-specific operational developments through the application of the DIKW model. The DIKW model improved energy management by enhancing the effectiveness and sustainability of existing energy-saving initiatives at mine compressor systems. It increased the utility of existing compressed air metering infrastructure by enhancing the site-specific energy billing insights and tracking compressor costs ranging from from π
1,000 to π
800,000 daily. Its successful application at two case studies demonstrates its flexibility and potential for broader use in energy-intensive industries, boosting operational awareness, efficiency, and sustainability in the mining industry. AFRIKAANSE OPSOMMING: Die Suid-Afrikaanse mynbedryf speel βn sleutelrol in die ekonomie en bly βn toonaangewende goudprodusent, ondanks afnemende uitsette. Stygende elektrisiteitskostes stel egter βn groot uitdaging, aangesien dit na verwagting teen 2024 sowat 12,5% van mynkoste sal beslaan, vergeleke met 9% in 2023. Die sektor dra 15% tot Eskom se inkomste by, terwyl mynkompressors vir tussen 20% en 40% van energiekostes verantwoordelik is. Deur die energiedoeltreffendheid en bestuur van hierdie stelsels te verbeter, kan kostes verlaag en produktiwiteit verhoog word. Myne gebruik toesigbeheer- en dataverkrygingstelsels (SCADA) om groot hoeveelhede data in te samel. Hierdie stelsels verskaf egter oorwegend intydse data sonder om dieper insigte te lewer wat strategiese besluitneming bevorder. Huidige energiebestuurspraktyke slaag nie daarin om data effektief om te skakel in bruikbare kennis nie, wat die vermoΓ« van die mynbousektor om strategiese besluite te neem beperk. Dit het gelei tot βn afname in bewustheid en begrip van energie-intensiewe mynkompressorstelsels, wat diegene se vermoΓ« om ingeligte besluite te neem belemmer en die volhoubaarheid van mynbedrywighede in Suid-Afrika negatief beΓ―nvloed. Die studie het daarop gemik om data van mynkompressorstelsels te omskep in bruikbare kennis en insigte wat effektiewe energiebestuurbesluite moontlik maak. βn Gekontekstualiseerde weergawe van die data-, inligting-, kennis- en wysheid (DIKW)-model is spesifiek vir mynkompressorstelsels ontwikkel, met inspirasie uit die historiese toepassing van hierdie model in die mynbou- en ander industrieΓ«. Tydreekskompressorkrag- en vloeidata is ingesamel en verwerk om akkurate inligting te genereer. Deur die energietoewysingsmetodologie wat in hierdie studie ontwikkel is toe te pas, is die data omskep in nuttige inligting wat die akkurate en dinamiese toewysing en monitering van kompressorenergieverbruik moontlik maak. Daarna is die inligting georganiseer en gekonsolideer in 'n omvattende outomatiese verslag wat stelsel- en terreinspesifieke kennis oordra. Doeltreffende verslagdoening het die verkryging van wysheid moontlik gemaak, wat op sy beurt uitvoerbare besluite in die konteks van energiebestuur tot gevolg gehad het. Die waarde van die gekontekstualiseerde DIKW-model se toepassing op die mynkompressorstelsel is gekwantifiseer deur die impak van die regstellende aksies en besluite wat die model in 'n energiebestuurskonteks ondersteun het, te evalueer. Deur die DIKW-model op twee mynkompressorstelsels toe te pas, is data omgeskakel na uitvoerbare insigte, wat terreinspesifieke energiebestuurbesluite moontlik gemaak het. In Gevallestudie A het die model byvoorbeeld gelei tot βn besparing van R7.7 miljoen in kompressor-energiekoste tussen Masters 2025-05-30T13:36:25Z 2025-05-30T13:36:25Z 2025-03 Thesis https://scholar.sun.ac.za/handle/10019.1/132249 en Stellenbosch University xvi, 170 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Supervisory control systems Mining engineering -- Data processing Mine ventilation -- Automation Decision support systems UCTD Mohammad, Asadullah Implementing the DIKW model on complex deep-level mine compressor systems |
| title | Implementing the DIKW model on complex deep-level mine compressor systems |
| title_full | Implementing the DIKW model on complex deep-level mine compressor systems |
| title_fullStr | Implementing the DIKW model on complex deep-level mine compressor systems |
| title_full_unstemmed | Implementing the DIKW model on complex deep-level mine compressor systems |
| title_short | Implementing the DIKW model on complex deep-level mine compressor systems |
| title_sort | implementing the dikw model on complex deep level mine compressor systems |
| topic | Supervisory control systems Mining engineering -- Data processing Mine ventilation -- Automation Decision support systems UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/132249 |
| work_keys_str_mv | AT mohammadasadullah implementingthedikwmodeloncomplexdeeplevelminecompressorsystems |