3.1 Benchmarking and Technical Validation An initial diagnostic phase was conducted, including benchmarking activities, comparative technical analysis, and meetings with leading national underground mining companies. This process confirmed both the novelty of the proposed solution and the absence of comparable systems providing real-time microseismic alerts integrated directly into operational SCADA platforms (Supervisory Control and Data Acquisition). The results validated the relevance of developing a real-time alert mechanism focused on preventive geomechanical risk management. 3.2 Sensor Network and Data Flow A network of high-precision microseismic sensors was deployed, enabling continuous real-time data acquisition. Seismic event data were transmitted directly to a centralized SQL-based microseismic database. Prior to integration, the data were processed and filtered to remove noise and interference, ensuring data reliability. The validated data stream was then successfully integrated into the existing SCADA system (Supervisory Control and Data Acquisition), allowing real-time visualization and operational use. Figure 1 presents the overall architecture of the real-time traffic light system and the associated data flow between the underground monitoring network, the SCADA environment, and the alert communication system. 3.3 Analytical Parameters and Alert Criteria The system processes core microseismic parameters, including cumulative seismic energy release, seismic moment, and event frequency. Predictive criteria based on the Gutenberg–Richter law were applied to define critical thresholds for risk classification. These thresholds were configured into a traffic light alert scheme consisting of three operational states: • Green: safe conditions • Yellow: warning level • Red: alarm or high-risk conditions This classification enables rapid interpretation of geomechanical conditions by operational personnel. 61
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