Automation, digitalization and integration initiatives are at the forefront of most mining companies’ technological roadmaps. Interoperability is a necessity for the success of these initiatives. Interoperability cannot be solved in a vacuum, so collaboration and communication is essential for the mining industry to build an interoperable future.
WHY IT IS IMPORTANT FOR THE MINING INDUSTRY
Interoperability is the ability of two or more systems, components or processes to exchange contextualized information so that they can act on this information to achieve business and operational outcomes. Mining equipment and systems interoperability is a high priority for the international mining community. Advanced digital technologies are enhancing – and in many cases revolutionizing – equipment, processes, planning and execution in order to enable more productive, safe and cost-effective mines. Interoperability is a requirement for maximizing the capabilities and benefits of mining automation, digitalization, operational integration, and data analytics initiatives and can be a huge innovation driver.
As more mining companies pursue digital transformation initiatives, the need for industry-wide interoperability has become very urgent. It is, however, very difficult to solve. Interoperability affects all areas of mining operations is a very broad and complex and multifaceted issue with no single solution.
ABOUT THE WORKING GROUP
The Interoperability Working Group is a community of interest focused on driving collaboration within the industry to tackle the most common challenges and develop a common vision for interoperability. Simultaneously, it will ensure that the industry will not be constrained as new technologies and ways of working emerge.
Based on the input of +120 companies, this project has produced a draft guideline that defines interoperability, describes guiding principles for it and presents a high-level roadmap to enable greater coordinated efforts and industry-wide alignment. Learn more
There is a great need for clarity, alignment and education for interoperability, and there are many other organizations driving efforts. Therefore, the Interoperability Landscape will identify which other organizations are driving interoperability projects, so it can enable collaboration among organizations and accelerate the progress of those ongoing efforts. Information will be gathered through a research survey, and then structured into a landscape. Learn more.
This report outlines a consensus on defining interoperability, interoperability principles, interoperability priorities, and a vision for an interoperable future. It represents a consensus based on in-depth interviews and workshops with mining companies and is based on draft contents of the interoperability definitions and roadmap guideline.
This landscape aims to increase the industry’s understanding and confidence in what different organizations are doing on interoperability to enable collaboration among organizations, and accelerate the progress of those ongoing efforts.
Data and AI are better when they are together. Unfortunately most of today’s Internet of Things (IoT), including location tracking, sensing, and industrial control systems, are disparate systems designed and deployed for one-off applications. That means it is very challenging to aggregate and correlate the heterogeneous data from silo-ed IoT systems for real-time situational awareness and early warnings. This webinar will present the geospatial and IoT standards from the Open Geospatial Consortium (OGC). Click here to watch.
As a direct result of COVID-19 and resulting government health and safety restrictions in operating business, demand dynamics in manufacturing and construction coupled with proximity challenges in mining operations are impacting the mining industry’s ability to maintain operation stability. In this presentation four action areas will be proposed where mining’s leaders and operations need to remain focused and vigilant, and how the industry is responding in these areas. Click here to watch.
With the Forth Industrial Revolution upon us, mining companies are looking to other adjacent industries to see how they can apply technology to their own processes. Many mining companies have stated goals of digitally transforming their mining business. But how do they actually do this? We take a digital transformation journey of an African mining company to see how they have applied technology and where they see the real benefits for their operations. Presenter: David Osborn, Managing Director for Dassault Systemès South Africa. Click here to watch.
Digitalization in mining requires a common language for data exchange between mining machines and the higher-level systems. The webinar will walk through “Open Platform Communication Unified Architecture” (OPC UA), its key benefits and the approach to jointly develop an application-oriented Companion Specification Mining. Click here to watch.
Learn about GMG’s interoperability strategy: – Facilitate industry alignment on interoperability principles and priorities and the forms of commitment required to achieve it. – Develop a roadmap that outlines tangible actions and goals for achieving interoperability. – Work with and leverage the work of other organizations working on aspects of interoperability. This webinar covers what has been done so far, the ongoing work and the next steps for this strategy. Click here to watch.
Lisa Seacat DeLuca, Distinguished Engineer & Master Inventor at IBM AI Applications, presents about Digital Twin Innovation in the Mining Industry. Click here to watch.
Engineers and geologists are using digital twin technology to predict, simulate and optimise across the mine value chain. Unlike the manufacturing industry, inputs to the mine value chain include inherently variable ore, and therefore digital twins require the ability to model how ore variability affects processes across the value chain. Typically, these models have been empirical or physics based, but the advent of digital twin technology provides a link into the real-world operations and twins operational data to digital twin models using machine learning. Click here to watch
The presentation will outline how Siemens Digital Industries Software enables digitalization for the mining industry through focus applications and with holistic digital twins to drive yield. A case study on Komatsu Mining with a focus on predicting equipment systems performance and a second case study on layout planning and optimization for a new sand processing facility will also be presented. Finally, a demonstration on an underground mining plant simulation will be carried out as a conclusion to the session before moving on to Q&A. Click here to watch.