MINING SOFTWARE
Specifying multiple truck types to work in the same mining area allows for mining different material types with different equipment.
Improved interoperability for haul network creation allows users to drag and drop a haul network created in Vulcan Envisage into Evolution to automatically configure the schedule network. Multiple digger fleets can also be allocated. Fuel burn is incorporated into optimisation runs alongside dynamic backfilling.
Johnson states:“ The Evolution example demonstrates how software usability and variety confirms its place among next generation technology. Mines can schedule operations using Evolution advanced optimisation techniques, which by their very nature are designed to mimic reality and complexity. Interoperability with the resource model, integrated workflows and parallel processing technology, and now the latest visualisation engine delivers a truly world class scheduling solution.”
The Automated Pit Designer released in Vulcan 10 in 2016 allows mining engineers to transform optimised block model results into operational mine design contours in seconds. Contours can serve as a base for further design work or be used to generate more accurate pit-by-pit graphs and long term schedules. The design tool automates the tedious process of manually fixing crossovers, modifying lines, and offsetting lines one segment at a time. The Vulcan mine design
becomes a fluid entity, which can be updated as new data becomes available and adapted to changing economics. Different scheduling options can be reviewed, and different design parameters can be evaluated.
“ Release of the Maptek Workbench in 2016, alongside Vulcan 10, launched a mission for 2017 that will ultimately provide a single, comprehensive platform for all spatial modelling, design and analysis tasks. The flexible Workbench interface comes into its own in a multi-screen environment. Docking database and design windows side-by-side allows interactive editing and viewing, with easy access to text, csv and script editing apps. Custom workflows across different applications will deliver another boost in productivity and facilitate hand-off between teams. Eureka will be hosted on the Workbench from 2017, followed by I-Site Studio, BlastLogic and Evolution. Ultimately users will choose from a Maptek toolbox representing best practice in survey, design, modelling, scheduling, drill and blast, monitoring, geotechnical analysis and reporting. Working on a single data model which is shared throughout the value chain and connected forward across event horizons to execution stages and upwards toward enterprise and resource planning will provide miners with holistic operational data for business decisions. The outcome will be transformational for the industry.”
During 2017, Maptek says it will focus on integrating workflows and data throughout geological modelling, mine design, planning, production management and reporting. Collecting data, automated if possible, from all operating devices and making this available to all planning and operational teams will effectively close the loop for driving performance and productivity gains.
“ Mines will gain a focal point for technical analysis and operational planning. User efficiency and productivity will soar. Multidisciplinary workflows will combine with product functionality to provide one common data model. Connections across event horizons to execution stages and enterprise and resource planning levels will allow miners to manage operations holistically. Maptek continually looks to add value by examining how data collection and analysis can extend across processes and beyond horizons. R & D into new applications is supported by adapting existing technology to target new solutions. The Sentry laser-based monitoring system is a good example. Sentry is seeing a lot of interest from open cut and underground operations, proving a reliable monitoring solution with versatility for field survey, and ensuring an early return on investment. Incorporating smart interfaces that recognise when to enter specific data types, auto-populating from defined data sources, implementing scripts on the fly and optimising calculations saves time and effort,
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