Implementation of industry 4.0 technologies in the mining industry : a case study
- Sishi, M. N., Telukdarie, A.
- Authors: Sishi, M. N. , Telukdarie, A.
- Date: 2017
- Subjects: Industry 4.0 , IoT , Big data
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/255995 , uj:26866 , Citation: Sishi, M.N. & Telukdarie, A. 2017. Implementation of industry 4.0 technologies in the mining industry : a case study.
- Description: Abstract: In modern mining, it is imperative to have a real-time flow of information between enterprise level systems (ERP, CRM, SCM) and shop floor systems. The gaps that exist between the two spheres make it difficult for managers to have timely information for optimum decision making. A mining company needs instantaneous visibility on production, quality, cycle times, machine status, and other important operational variables in order to achieve optimum and effective operations. With the implementation of Industry 4.0 technologies fragmented shop floor systems and the enterprise level systems communicate seamlessly in delivering optimum operations. The research demonstrates Industry 4.0 technologies as the mechanisms for integrating business systems and processes. The methods researched are deployed in a uranium mining company to integrate all shop floor systems with SAP ERP. The results introduce a semi-smart Mine with real-time visibility of overall mining status.
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- Authors: Sishi, M. N. , Telukdarie, A.
- Date: 2017
- Subjects: Industry 4.0 , IoT , Big data
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/255995 , uj:26866 , Citation: Sishi, M.N. & Telukdarie, A. 2017. Implementation of industry 4.0 technologies in the mining industry : a case study.
- Description: Abstract: In modern mining, it is imperative to have a real-time flow of information between enterprise level systems (ERP, CRM, SCM) and shop floor systems. The gaps that exist between the two spheres make it difficult for managers to have timely information for optimum decision making. A mining company needs instantaneous visibility on production, quality, cycle times, machine status, and other important operational variables in order to achieve optimum and effective operations. With the implementation of Industry 4.0 technologies fragmented shop floor systems and the enterprise level systems communicate seamlessly in delivering optimum operations. The research demonstrates Industry 4.0 technologies as the mechanisms for integrating business systems and processes. The methods researched are deployed in a uranium mining company to integrate all shop floor systems with SAP ERP. The results introduce a semi-smart Mine with real-time visibility of overall mining status.
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Internet of things data integrity
- Matsemela, Gift, Rimer, Suvendi, Ouahada, Khmaies, Ndjiongue, Richard, Mngomezulu, Zinhle
- Authors: Matsemela, Gift , Rimer, Suvendi , Ouahada, Khmaies , Ndjiongue, Richard , Mngomezulu, Zinhle
- Date: 2017
- Subjects: IoT , RSA , AES
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/237484 , uj:24330 , Citation: Matsemela, G. et al. 2017. Internet of things data integrity.
- Description: Abstract: Internet of Things is an internetwork where people interact with the environment via sensors and machines to perform physical activities remotely. IoT allows objects to be sensed and controlled remotely via internet such as changing the room temperature by controlling an air conditioner, switching on the lights in your apartment, using smart watches to gather information about your body health (blood pressure and heart beat rate) and sends it to your private doctor to monitor it and so on. Performing a research on issues faced with IoT, it was realized that most challenges were of privacy/confidentiality and data integrity. This project further conducts research on finding ways of securing information that is shared between two or more interactive IoT devices. The main objective of the project was to develop a strategy of securing the IoT technology world. The method that was proposed to provide data security and integrity was through cryptographic methods/security algorithms that require decent memory and equitable CPU processing power .There were three security methods that were focused on in this project i.e. RSA, AES and TDES algorithms. Each of the encryption/decryption methods were presented with their detailed design and functionality. The most suitable and better performing security algorithm for IoT technology was chosen according to the measures of time, memory and processing power. With the tests performed on the proposed security algorithms, AES encryption standard seemed to perform better than other security algorithms in terms computational time, memory consumption and the required processing power. The test results also showed that it has a large encryption/decryption key size which also means better protection for data. However through testing of the encryption methods there were shortcomings that were encountered such as inability of the security algorithms to provide authentication and encrypt different data formats such as video, picture and audio. The short comings will be further dealt with on the future work. The success of this research has potential impact on increasing the security of IoT internetwork which intern will increase the number of users in the IoT world.
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- Authors: Matsemela, Gift , Rimer, Suvendi , Ouahada, Khmaies , Ndjiongue, Richard , Mngomezulu, Zinhle
- Date: 2017
- Subjects: IoT , RSA , AES
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/237484 , uj:24330 , Citation: Matsemela, G. et al. 2017. Internet of things data integrity.
- Description: Abstract: Internet of Things is an internetwork where people interact with the environment via sensors and machines to perform physical activities remotely. IoT allows objects to be sensed and controlled remotely via internet such as changing the room temperature by controlling an air conditioner, switching on the lights in your apartment, using smart watches to gather information about your body health (blood pressure and heart beat rate) and sends it to your private doctor to monitor it and so on. Performing a research on issues faced with IoT, it was realized that most challenges were of privacy/confidentiality and data integrity. This project further conducts research on finding ways of securing information that is shared between two or more interactive IoT devices. The main objective of the project was to develop a strategy of securing the IoT technology world. The method that was proposed to provide data security and integrity was through cryptographic methods/security algorithms that require decent memory and equitable CPU processing power .There were three security methods that were focused on in this project i.e. RSA, AES and TDES algorithms. Each of the encryption/decryption methods were presented with their detailed design and functionality. The most suitable and better performing security algorithm for IoT technology was chosen according to the measures of time, memory and processing power. With the tests performed on the proposed security algorithms, AES encryption standard seemed to perform better than other security algorithms in terms computational time, memory consumption and the required processing power. The test results also showed that it has a large encryption/decryption key size which also means better protection for data. However through testing of the encryption methods there were shortcomings that were encountered such as inability of the security algorithms to provide authentication and encrypt different data formats such as video, picture and audio. The short comings will be further dealt with on the future work. The success of this research has potential impact on increasing the security of IoT internetwork which intern will increase the number of users in the IoT world.
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Analytical condition monitoring system for liquid-immersed transformers
- Van Der Walt, F., Doorsamy, W.
- Authors: Van Der Walt, F. , Doorsamy, W.
- Date: 2018
- Subjects: Liquid immersed transformer , Condition monitoring system , IoT
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/276300 , uj:29563 , Citation: Van Der Walt, F. & Doorsamy, W. 2018. Analytical condition monitoring system for liquid-immersed transformers.
- Description: Abstract: Transformers form an integral part of the electrical power grid are widely employed in a variety of power-system applications inter alia power generation and distribution systems, and arc- and induction-furnace applications. Transformers are among the most expensive components in power systems but the protection and health requirements thereof are still catered for by traditional auxiliary protective devices and cooling control systems. This paper reports the development of an IoT-based condition monitoring system that offers advanced protection and control features. The condition monitoring system is intended to directly contribute to enhancing the lifespan of the transformer by detecting fault conditions at an early stage before catastrophic failure can occur and by ensuring that the quality of the transformer’s insulation is preserved for a greater period through improved cooling techniques.
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- Authors: Van Der Walt, F. , Doorsamy, W.
- Date: 2018
- Subjects: Liquid immersed transformer , Condition monitoring system , IoT
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/276300 , uj:29563 , Citation: Van Der Walt, F. & Doorsamy, W. 2018. Analytical condition monitoring system for liquid-immersed transformers.
- Description: Abstract: Transformers form an integral part of the electrical power grid are widely employed in a variety of power-system applications inter alia power generation and distribution systems, and arc- and induction-furnace applications. Transformers are among the most expensive components in power systems but the protection and health requirements thereof are still catered for by traditional auxiliary protective devices and cooling control systems. This paper reports the development of an IoT-based condition monitoring system that offers advanced protection and control features. The condition monitoring system is intended to directly contribute to enhancing the lifespan of the transformer by detecting fault conditions at an early stage before catastrophic failure can occur and by ensuring that the quality of the transformer’s insulation is preserved for a greater period through improved cooling techniques.
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Development of a wireless sensor network based water quality monitoring and notification system
- Sithole, M.P.P., Nwulu, N.I., Dogo, E.M.
- Authors: Sithole, M.P.P. , Nwulu, N.I. , Dogo, E.M.
- Date: 2019
- Subjects: Water quality , Sensors , IoT
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/${Handle} , uj:34290 , Citation: Sithole, M.P.P., Nwulu, N.I. & Dogo, E.M. 2019. Development of a wireless sensor network based water quality monitoring and notification system.
- Description: Abstract: In this paper, we present a water quality monitoring and notification system. It is also integrated with a consumer alert system on the safety of the water in accordance with the WHO water quality standard. The consumer alert system is made up of a buzzer for notification, a red-Light Emitting Diode (LED) and green-LED as an indicator for unsafe water and safe water respectively. Five sources of contaminants in water namely, soil, chlorine, vinegar, salt, washing powder and their combination were used in this to validate the performance of the system. Wireless communication between the measuring subsystem and the analysis and notification subsystem was established for mobility using radio frequency modules. The error in measurements and the consumption risk per water parameter were calculated on MS Excel as part of the analysis and presented in this document. This paper also presents an added functionality by using a Light Dependent Resistor (LDR) for turbidity measurement and LEDs in the notification subsystem. The notification system accommodates people with disabilities as the buzzer can be heard by those who can’t see, and the LEDs can be seen by those who can’t hear. The developed system was compared for functionality and performance using the quality of the results measured in comparison with the expected results.
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- Authors: Sithole, M.P.P. , Nwulu, N.I. , Dogo, E.M.
- Date: 2019
- Subjects: Water quality , Sensors , IoT
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/${Handle} , uj:34290 , Citation: Sithole, M.P.P., Nwulu, N.I. & Dogo, E.M. 2019. Development of a wireless sensor network based water quality monitoring and notification system.
- Description: Abstract: In this paper, we present a water quality monitoring and notification system. It is also integrated with a consumer alert system on the safety of the water in accordance with the WHO water quality standard. The consumer alert system is made up of a buzzer for notification, a red-Light Emitting Diode (LED) and green-LED as an indicator for unsafe water and safe water respectively. Five sources of contaminants in water namely, soil, chlorine, vinegar, salt, washing powder and their combination were used in this to validate the performance of the system. Wireless communication between the measuring subsystem and the analysis and notification subsystem was established for mobility using radio frequency modules. The error in measurements and the consumption risk per water parameter were calculated on MS Excel as part of the analysis and presented in this document. This paper also presents an added functionality by using a Light Dependent Resistor (LDR) for turbidity measurement and LEDs in the notification subsystem. The notification system accommodates people with disabilities as the buzzer can be heard by those who can’t see, and the LEDs can be seen by those who can’t hear. The developed system was compared for functionality and performance using the quality of the results measured in comparison with the expected results.
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