Asset management platform implemented for geotechnical risk management - A Mining Operation Case Study *C. Marulanda1, A. Forero2, D. Cañas3 1 Technical Manager of Ingetec, Colombia. (*Presenting author: marulanda@ingetec.com.co) 2 IT Director of Ingetec, Colombia 3 Senior Specialist in Geotechnical Engineer of Ingetec, Colombia ABSTRACT The mining industry generates vast quantities of geotechnical monitoring data from diverse sources ranging from in-situ piezometers and inclinometers to ground-based radars and satellite InSAR. Yet, no comprehensive academic reference currently defines what constitutes an effective, integrated asset management platform for geotechnical risk monitoring in this highly specialized sector. While industry standards such as the Global Industry Standard on Tailings Management (GISTM), ICMM guidelines, and ICOLD bulletins mandate comprehensive monitoring systems, they remain entirely silent on the technology architecture, software design, and IT infrastructure required to implement them. Similarly, existing academic literature addresses individual components IoT sensor networks, digital twins, cloud computing, predictive analytics in isolation, without synthesizing them into a unified platform framework. This paper addresses this gap by proposing a vendor-agnostic reference framework that defines the essential functionalities, modular architecture, software design patterns, and cloud-agnostic infrastructure required for an effective geotechnical asset management platform. The framework is organized into seven functional categories, each with a staged implementation roadmap from core capabilities to advanced functionalities. The framework is validated through a three year case study of a major mining operation in Peru, encompassing open pits, waste dumps, and transfer tunnels, where integrating diverse data sources into a unified environment demonstrated measurable improvements in decision making speed, data availability, and early warning effectiveness. Ultimately, this work provides the mining geotechnical community with a replicable, non proprietary blueprint that bridges the gap between regulatory requirements and modern technology, driving the industry's strategic objective of delivering minerals in a smarter, safer, and more responsible way. KEYWORDS: Geotechnical monitoring, asset management platform, mining, vendor-agnostic architecture, IoT, digital twin, tailings storage facilities, InSAR, risk management, GISTM. 1. INTRODUCTION Large-scale mining operations depend on geotechnical monitoring to ensure the structural integrity of critical infrastructure: open-pit slopes, tailings storage facilities (TSFs), waste rock dumps,
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