Teet, R & Mowen, J 2026, 'Enhancing data integration and visualisation for block cave operations ', in A van As, D Cumming-Potvin & J Wesseloo (eds), Caving 2026: Proceedings of the Sixth International  Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 1-10, https://doi.org/10.36487/ACG_repo/2645_11
(https://papers.acg.uwa.edu.au/p/2645_11_Teet/)
Abstract: Modern block cave operations have seen a substantial increase in monitoring points over the past decade, driven by the adoption of automated and manual technologies. While this expansion improves visibility across multiple disciplines, it also introduces challenges associated with data overload, where large volumes of information cannot be effectively leveraged for timely decision-making.
To address this, a well-established caving operation has implemented significant modifications to the mXrap (Harris & Wesseloo 2015) Caving Sandbox over the past 18 months, creating a unified platform that integrates data from multiple sources for their operations. This approach reduces reliance on multiple applications and enhances accessibility for technical teams. Key integrations included grade and lithology data, drawpoint status, classification of fines and water status at each drawpoint, and rill event visualisation to improve risk communication. Additionally, functionality was introduced to compare predicted lithology, grade, and fragmentation against actual recorded values, providing deeper insights into cave performance and behaviour. This latter feature was also designed to support reconciliation of forecast models, further aiding in the cave management and performance processes. 
This paper outlines the development process, integration methodology, and benefits achieved through improved data visualisation and interpretation, demonstrating how customised platforms can unlock the full value of complex datasets in modern caving operations.

Keywords: data visualisation, block cave, interpretation, risk management