A case of Longwall coal mining productivity & safety optimisation

Ardehali, Sahar and Alehossein, Habib ORCID: https://orcid.org/0000-0002-0276-0877 and Aziz, Naj and Bowerman, Matthew and Robbins, Matt (2021) A case of Longwall coal mining productivity & safety optimisation. In: 2021 Resource Operators' Conference, 10 Feb - 12 Feb 2021, Springfield, Australia.


Abstract

This paper presents a study, the design and implementation of the Longwall Remote Operations centre that incorporates all aspects of automation for Longwall and coal clearance systems. Developing the existing Longwall technology strategy and the design of coal transferring conveyors to smart systems incorporating emerging technologies such as artificial intelligence, automation and business strategy development. The design phase of the project is structured to bring together the overall findings of the diagnose phase, business strategic direction, value case and options analysis to develop an overall project that covers people, technology, systems and process for the automated control of the Longwall. As part of this process a draft implementation plan that includes risk and change management, capability transfer and a roadmap for optimisation is included. The site engagement team cooperates closely with the analysis team on collecting real data and analysing data in-depth by considering safety regulation and analysis of the business value case for incorporating any current and proposed automation technologies. The achieved designs introduced the opportunity to incorporate in the future of the mining industry as one of the main pillars of Australia’s economy. A key objective is to remove people, as far as practically possible, from potentially hazardous operational areas through applying remote operations and control concepts. There is a strong value case for this change. In a Longwall operation this change reduced exposure to underground operational hazards by some 50,000 hours per year, add 3 hours per day to operations, and increase cutting rate by 150 tonnes per hour. The strategy and design apply to limited mines and their successful outcomes provides a wide approach and an open discussion platform for the current mining industry and make us propose a new strategy for coal clearance methodology. This paper proposes a practical strategy to revolutionise the conveyor mining industry via implementing Innovation, Technology and Digitalisation and open LEAN management techniques, automation and artificial intelligence based on the real data outcomes.


Statistics for USQ ePrint 48133
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 05 May 2022 05:26
Last Modified: 31 May 2022 03:20
Uncontrolled Keywords: coal mining productivity; safety
Fields of Research (2020): 40 ENGINEERING > 4019 Resources engineering and extractive metallurgy > 401905 Mining engineering
Socio-Economic Objectives (2020): 15 ECONOMIC FRAMEWORK > 1503 Management and productivity > 150399 Management and productivity not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/48133

Actions (login required)

View Item Archive Repository Staff Only