Instead of relying on complex and expensive geographic redundancy, this architecture achieves high availability through an event-driven, decoupled design. As shown in the diagram, a central Message Queue/Bus separates the Ingestion Layer from the Processing Layer. If a processing function temporarily fails due to an unexpected surge in data velocity, the telemetry data is safely buffered in the message queue, ensuring zero data loss and seamless continuity of the TARP evaluation process once normal operation is restored. 5. CASE STUDY: GEOTECHNICAL MONITORING OF A MAJOR MINING OPERATION IN PERU The proposed framework was validated through implementation at a major mining operation in Peru, encompassing the continuous monitoring of diverse critical infrastructure over a three-year period (2022–2025). 5.1 Instrumentation and Data Sources The platform integrates data from the following geotechnical instrumentation and monitoring technologies deployed across the operation: Table 4. Geotechnical instrumentation integrated into the platform. Instrument Category Specific Instruments Monitored Parameters Data Acquisition Mode Pore-water pressure Vibrating-wire piezometers, standpipe piezometers, Casagrande piezometers Pore-water pressure (kPa), phreatic surface position Automated (data logger) + manual readings Subsurface displacement In-place inclinometers (IPI), portable inclinometer Lateral displacement (mm), displacement rate (mm/day), cumulative deflection profiles Automated (real-time) + manual readings Surface displacement Robotic and portable total stations (prisms) 3D displacement vectors (mm), velocity (mm/day) Automated (cyclic readings, 1–4 hr intervals) + manual readings Tunnel Deformation Multi-point borehole extensometers, Tunnel Profile Monitoring (TPM), Laser Distance Meter (LDM), Tape Axial deformation (mm), crack aperture (mm), angular rotation (°), surface deformation (mm) Automated + manual readings
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