Trimble has introduced Trimble Mine Insights, powered by the Strayos AI engine, a cloud-based mining analytics application that provides AI-powered insights to mining and quarrying professionals for optimising surveying, drilling, blasting and geotechnical workflows.
As the latest integration to the Trimble ConnectⓇ collaboration platform, Mine Insights provides essential drill and blast design, surveying and site analytics functionality, the company says. It connects data to deliver deep production insights, creating significant efficiency gains for different roles on the mine site:
- For mine surveyors: Quickly visualise the haul road network for conformance and safety. Use haul road AI tools to dispatch support equipment and fix issues in the field fast;
- For drill and blast engineers: Determine blast performance and achieve production targets using fragmentation AI tools that optimise processing times; and
- For geotechnical engineers: Investigate a slope’s safety factor with slope stability AI to quickly determine high-risk areas requiring immediate monitoring for safe working conditions.
Integrated with Trimble Connect, the software uses field and office data from Trimble hardware and software to automate analysis of geospatial and site data, turning it into actionable decision making, the company says.
“Trimble Mine Insights is poised to transform how mining professionals approach their daily tasks by closing the loop between data collection and operational action,” Riley Smith, Director of Mining, Tunnelling and Monitoring at Trimble, says. “This empowers our customers to make faster, more informed decisions that drive greater operational outcomes.”
Trimble Mine Insights directly tackles common pain points experienced by mining professionals with the following benefits:
- Maximises productivity: The solution automates and streamlines key workflows across surveying, drilling, blasting and geotechnical tasks, enabling faster and more efficient mine operations. This includes automated stockpile and end-of-month volume reporting, which provides accurate material tracking for timely reconciliation;
- Reduces operational costs: It helps optimise operations and maintenance, leading to more efficient resource utilisation. For instance, the haul road AI tool can reduce haul truck tyre wear and fuel consumption, locate non-conforming safety berms and determine crossfall for water drainage;
- Actionable data for mine safety: The software’s AI-powered highwall and slope stability analysis helps geotechnical teams identify and prioritise high-risk areas. It pinpoints potential failure locations that require detailed analysis, enabling deployment of automated monitoring systems like Trimble 4D Control™ for continuous deformation analysis and alarming;
- Improves team alignment and decision making: As part of Trimble Connect ecosystem, it fosters better collaboration and data traceability across various mining departments and professionals; and
- Allows for value-driven integration: Trimble Mine Insights uses data from Trimble hardware and software to better understand production operations. For example, drill data from Trimble Groundworks drilling machine control system analyzed in Trimble Mine Insights can optimise future blast performance and fragmentation while point cloud data from the Trimble SX12 scanning total station assists with future blast pattern design. This creates a unified field-to-office-to-cloud workflow and reduces manual data transfer and potential errors.
