This group aims to address challenges that the industry faces related to data management, interoperability, and integration through work that supports and enables common language, data quality, data exchange, data sharing, and data access.
As new technologies and systems are adopted in the mining industry, they produce a wider range of data, which is being used for critical decision-making, reducing costs, optimizing processes, forecasting, trend analysis and more. However, the industry is also facing many challenges with integration, interoperability, and the overall management of data.
Understanding distributed responsibilities (operator, vendor, third party, etc).
Cross-functional IoT data integration
Autonomous systems and sensor integration
Access to and usage of equipment telemetry data/mobile equipment open data
Good data quality practices (e.g., processing, storage, cleaning)
Enabling and applying data-driven decision-making
Establishing a foundation for applying advanced systems
Knowledge and education on data fundamentals
Human factors (e.g. distractions re. integration challenges)
With the goal of improving 3D Data interoperability, this project group has developed the Open Mining Format (OMF), an open-source file specification to support data interchange across the entire mining community. Learn more here.
Common Language for Mining Technology
The aim of this project is to develop common naming conventions for the different types of mining technology across different equipment types and across different tasks and then use that language to prioritize where our efforts should be.
Research Project: Interoperability Standards Landscape and Applications
With so many standards available, it can be challenging to keep track of them all to ensure the correct practices and regulations are followed.
This research project will aim to compile the existing interoperability standards and compile them into a landscape format that highlights their applications and clearly outline what the standard is.