VG Karier

Improving productivity through enhanced metrics

VG Karier product illustration

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Worldwide, mining operations are tasked with streamlining inventory and optimizing working capital. The focus has clearly shifted to improving productivity through enhanced metrics.. VG Karier is a fleet management and optimization system that fully integrates mining operations with planning and reporting functions. The result is a comprehensive understanding of real-time performance in an environment where dynamic decision-making ensures higher efficiency, improved safety and better mineral quality management. VG Karier is comprised of a number of scalable products that can implemented in a phased approach as per operational and budget requirements.

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VG Karier

The design

Enhanced Metrics

Accurate and reliable raw data is captured from hardware sensors that can be installed on all mobile equipment operating within the mine. This provides an in-depth view into performance of equipment such as dump trucks, shovels, dozers, refuelers, drill rigs, loaders and auxiliary transport vehicles. The data is stored in a state of the at Oracle database which forms the backbone of the real-time management and optimization algorithms.

Improving Productivity

Accurately estimated the required number of vehicles and direction those vehicles to the propoer positions at the right times, enables management and control actions that result in significant productivity improvements.

Dispatch managers can implement several optimization strategies based on computer algorithms with advanced built-in intelligence. These strategies are governed by several optimization parameters, each with a relevant weighting.

Technical Specifications

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Dispatch and Optimization Module
The dispatch and optimization module intelligently allocates mining equipment, creates schedules and assigns routes to mobile equipment in accordance to production objectives and available assets.

Dispatch managers can implement several optimization strategies based on computer algorithms with advanced built-in intelligence. These strategies are governed by several optimization parameters, each with a relevant weighting.

The parameters include, but are not limited to, loading control, mineral quality, queue minimization, road quality control, shift time control, tire behavior and fuel usage.
Fuel Monitoring Module
The fuel monitoring module provides “end to end” fuel logging including logging of fuel in gas stations, loading of fuel trucks, fuel feed from refuelers and control of fuel consumption by vehicles.
Quality Management Module
The quality management module monitors the quality of the ore in each excavator. Using high precision navigation and geological models, the module is able to determine the average quality of the ore being hauled to the warehouse. This information is in turn used to direct each dump truck to the correct warehouse to ensure the averaging of ore quality across all warehouses.
Tire Management Module
The tire management module monitors the entire lifecycle of tires. Intelligent algorithms provide insight into tire life expectancy, recommendations for service and overall tire performance.
Road Quality Monitoring Module
The road quality monitoring module compiles a history of road traffic and automatically determines the position of roads. Roads are classified as bench roads, dump roads and main roads. Using hardware onboard dump trucks, characteristics of the surface are estimated for each road.
Drilling Operation Module
The drilling operation module provides for the planning, management and control of drill rig operations based on mine drilling and blasting plans. Using high-precision positioning hardware, drill rigs are positioned at exactly the right location and all information is displayed in a user friendly graphical interface.
Maintenance and Repair Module
The maintenance and repair module assists in planning for maintenance and repair events by creating frequency recommendations for technical actions by running hours, mileage or time. Estimated dates of maintenance procedures can be manually adjusted for optimizing the repair team workload.