A framework for near real-time ROM stockpile modelling to improve blending efficiency. Issue 2 (31st July 2021)

• Record Type: Journal Article
• Authors: Zhao, Shi; Lu, Tien-Fu; Statsenko, Larissa; Koch, Benjamin; Garcia, Chris
• Is Part Of: Journal of engineering, design and technology. Volume 20:Issue 2(2022)
• Page Start: 497
• Page End: 515
• Publication Date: 2021-07-31
• Subjects: Optimization -- Layers -- Near real-time modelling -- Ore grade -- ROM stockpile -- Voxel; Engineering -- Periodicals; Engineering design -- Periodicals; Industrial design -- Periodicals; Technology -- Periodicals; 620.005
• DOI: 10.1108/JEDT-12-2020-0541
• Languages: English
• ISSNs: 1726-0531

Abstract

Abstract : Purpose: In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore grade. However, tracing ore grade at ROM stockpiles accurately using most current fleet management systems is challenging, due to insufficient information available in real time. This study aims to build a three-dimensional (3D) model for ROM stockpiles continuously based on fine-grained grade information through integrating data from a number of ore grade tracking sources. Design/methodology/approach: Following a literature review, a framework for a new stockpile management system is proposed. In this system, near real-time high-resolution 3D ROM stockpile models are created based on dump/load locations measured from global positioning system sensors. Each stockpile model contains a group of layers which are separated by different qualities. Findings: Acquiring the geometric shapes of all the layers in a stockpile and cuts made by front wheel loaders provides a better understanding about the quality and quality distribution within a stockpile when it is stacked/reclaimed. Such a ROM stockpile model can provide information on predicating ore blend quality with high accuracy and high efficiency. Furthermore, a 3D stockyard model created based on such ROM stockpile models can help organisations optimise material flow and reduce the cost. Research limitations/implications: The modelling algorithm is evaluated using a laboratory scaled stockpile at this stage. The authors expect to scan a real stockpile and create a reference model from it. Meanwhile, the geometric model cannot represent slump or collapse during reclaiming faithfully. Therefore, the model is expected to be reconcile monthly using laser scanning data. Practical implications: The proposed model is currently translated to the operations at OZ Minerals. The use of such model will reduce the handling costs and improve the efficiency of existing grade management systems in the mining industry. Originality/value: This study provides a solution to build a near real-time high-resolution multi-layered 3D stockpile model through using currently available information and resources. Such novel and low-cost stockpile model will improve the production rates with good output product quality control.