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The short course will cover key aspects of process automation for the mining industry. The focus is on advantages of the process automation, challenges and opportunities, and pathway toward advanced automation. This course is based on the course coordinator practical experience and research in process autonomy. The short course is designed in four modules that can be tailored to the need and the level of knowledge of the participants. Module one focuses on erminology and introduction of the concept. This module includes a group activity to discuss the requirements of automation. The second module presents the gaps and challenges in the development and implementation of automation. It introduces the concept of soft sensors for reliable measurements and a practical approach to utilising the power of data analytics and AI. Module three presents the present state of process automation in the minerals industry by providing some practical examples. This module also contains group activity to work on barriers to process automation in participants’ operations. The last module focus on the pathway toward process autonomy, including the organisation maturity assessment, the workforce of the future and human-centric autonomous systems and their features.
This short course is aimed at junior and senior metallurgists, managers, and students at various levels. The short course will give metallurgists and plant managers a basic understanding of process automation and give them the knowledge on steps required to implement process automation and pitfalls and challenges on the way toward fully autonomous plants. stems actively . A practical approach is taken when covering all the topics in the short course, with real-life case studies and examples from the course coordinator’s experience. The prerequisites for attendees are engineering degrees and experience in metallurgical processes (comminution, flotation, dewatering, etc.).
Day 1 - Module I
- It is all about the decision
- Automation for mineral processing
- Group work - Whats is required from automation?
Day 2 - Module II
- Why trust?
- Soft sensor for reliable data
- How to extract value from data?
Day 3 - Module III
- Remote operation centres, is it a reality?
- Automation for safety and optimization
- Group work - Barriers to automation
Day 4 - Module IV
Pathway toward process autonomy
- Are you ready for automation?
- The workforce of future
- Human-centric autonomous systems
DR. MOHSEN YAHYAEI
Comminution Technical Solutions University of Queensland, SMI, JKMRC
Mohsen Yahyaei is an expert in modelling, optimisation, and control of comminution circuits using novel approaches and tools at the Julius Kruttschnitt Mineral Research Centre (JKMRC) at the University of Queensland, Australia. Mohsen has extensive experience in conducting applied research, industry surveys and process optimisation. Mohsen works with major mining companies and equipment suppliers. He has successfully led large research projects funded by the industry. Mohsen has extensive experience working with mining companies and their operations for operational diagnosis and identifying performance improvement opportunities in particular.
His interests include: process autonomy; dynamic modeling for process optimization and control; study of rock particle surface fracture; mechanistic approach to mill liner wear modeling.
APRIL 3 TO 6, 2023
6:00PM TO 9:30PM (Peruvian Time)
ONLINE 100% LIVE FROM INTERMET PLATFORM
FORMULARIO CONSULTAS DEL CURSO
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