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Conference Proceedings

International Mining Processing Congress (IMPC) Asia-Pacific Conference 2022

Conference Proceedings

International Mining Processing Congress (IMPC) Asia-Pacific Conference 2022

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Sensors and automation – a unique opportunity to leverage real-time gold recovery data through data analysis and automation in gold processing

Based on the 2021 Volume 5 State of PlayTM mining survey of key executives and board members in the mining sector, the key responses to ‘Which of the following technologies will have the biggest impact on mining in the next 15 years?’, were ‘Sensing and Data’ followed by ‘AI and Analytics’. From the early 1970s it would have been unlikely to predict the level of sensing and automation introduced to the broad industrial sector. No better example is the automobile industry where the combination of technological advances and external drivers (such as emissions control) have driven an incredible rate of change. The introduction of sensing, data, AI, and automation in the mining industry is just ramping up. Until now our energy efficiency, environmental footprint, labour shortage, skills, and safety have not been challenged by stakeholders in the way we are seeing market forces develop today. In order to address these challenges, we need to look back to the automobile industry and learn their lessons to accelerate our application of digital capability, analysis, AI and automation This is critical, particularly as access to skilled human resources becomes more difficult. An example of how this can be achieved in a gold processing plant utilising the latest real-time sensing technologies is the ‘Carbon Scout’ developed by Curtin University, and OLGA developed by CSIRO, which are both online technologies, coupled together with Gekko’s ‘Neon’ digital platform to achieve a fully automated real-time gold processing system.
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  • Sensors and automation – a unique opportunity to leverage real-time gold recovery data through data analysis and automation in gold processing
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  • Published: 2022
  • Pages: 1
  • PDF Size: 0.092 Mb.
  • Unique ID: P-02885-R7J3X0

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