iStockpile and interoperability

indurad says it offers the world’s most reliable Stockpile Scanning solution based purely on 3D radar perception, eliminating historical reliance on optical instruments. The company’s solutions do not require mathematical modelling of stockpiles, which can be subject to large errors due to the unpredictable nature of bulk materials, such as changes in moisture content and varying particle size distributions, which affect the stockpile formation. indurad’s iStockpile Solution uses two indurad ScanningDynamicRadar-Premium (iSDR-P) sensors, located at the head of stacker booms, to scan material surfaces, improving the stacking process in real time. The collected sensor data is stored in a “voxel-based” model, with the iStockpile4D associating a timestamp with each stockpile voxel to generate a 4D model of the stockpile volume where any additional material properties that may change over time can be stored.

The addition of sensors to reclaimers or other material handling equipment allows the voxel model to be updated. “By matching with the timestamps, connected systems can assign data to each voxel in the stockpile model; for example, cross-belt analyser data, laboratory sampling data, or customer information,” indurad said. indurad openly shares this 4D model with third parties over open Geographic Information System

interfaces for enrichment, post-processing and big data analytics.This way additional properties (like mineral composition, moisture, etc) can be added, allowing blending, maximising the profit and minimizing penalties on commodity exports. “This unique interoperability allows clear system boundaries between data capturing, analytics and decision making, reducing vendor lock-in,” indurad said. iStockpile makes dual use of automation with indurad’s leading process control and predictive…

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indurad iStockpile4D: voxel database generated from a 3D radar volumetric scan and 1D timestamping

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