IoT-Driven Equipment Performance Telemetry and Yield Loss Quantification for Small-Scale Gold Mining Operations

This project delivers a multi-tiered operational telemetry and yield analytics dashboard engineered for Artisanal and Small-Scale Mining (ASM) gold processing operations. Designed to bridge low-level equipment diagnostics with high-level investor risk assessment, the dashboard evaluates real-time performance telemetry across three core operational units: the Retort, Ball Mill, and Shaker Table. The primary objective is to establish an empirical baseline for machine stability, quantify production throughput under variable operating states, and isolate financial yield losses tied to mechanical anomalies and threshold breaches. The diagnostic layer tracks real-time operating behavior using automated thresholding categorized into Normal, Warning, and Alert operating zones. Time-series trend analytics demonstrate that processing units maintain baseline stability within expected operating bands, validating overall production reliability during active monitoring windows. Deep-dive anomaly profiling analyzes event frequencies and temporal clustering to pinpoint operational vulnerabilities. Anomaly breakdown metrics revealed that the Shaker Table recorded the highest frequency of abnormal events due to load-induced vibration sensitivity, whereas the Ball Mill and Retort exhibited strong baseline mechanical stability. Timestamped event logs enable site supervisors to cross-reference performance dips directly with specific operator shifts, ore batch characteristics, or feed rate adjustments. Translating equipment telemetry into financial output, the yield analytics module evaluates production efficiency and quantifies recoverable output. Analysis confirms that over 85% of total processing volume occurs under optimal operating conditions, demonstrating high baseline processing efficacy across all equipment, led by the Retort and Ball Mill. By modeling throughput losses against warning and alert state durations, the dashboard calculates exact volume deficits attributable to preventable downtime. A composite Production Health Score aggregates system-wide stability and efficiency into a standardized metric for rapid evaluation. Ultimately, this analytical solution transforms raw IoT equipment streams into actionable financial insight. By demonstrating that operational risks are localized and recoverable through targeted mechanical stabilization, the platform establishes clear ROI pathways for capital allocation and yield optimization in ASM enterprises.