systems and day-to-day mine operations, this initiative seeks to strengthen the use of real-time data for geomechanical risk prevention and to provide a practical reference for enhancing safety performance in underground mining operations. Keywords Underground mining; microseismic monitoring; geomechanical risk; early warning systems; real-time analytics; traffic light systems; seismic hazard management; SCADA integration 1. INTRODUCTION By the end of 2025, OSINERGMIN statistics show a consolidation of the downward trend in mining accident rates in Peru, with a 54.55% reduction in fatalities during the first semester compared to the previous cycle. However, rockfalls remain the most critical geomechanical hazard, accounting for 50% of fatal accidents reported in underground mining operations. This persistence of risk, despite the overall decrease in total incidents, reinforces the need to strengthen ground support controls and supervision based on the identification of zones with high geological complexity. At Compañía Minera Poderosa, where safety is established as a core corporate value, microseismic monitoring systems are already implemented as part of the geomechanical control framework. These systems provide valuable information on rock mass behavior and seismic activity associated with mining-induced stress redistribution. However, the current operational practice relies primarily on daily reports, which limits the capacity for immediate response to rapidly evolving geomechanical conditions. As a result, the potential of microseismic monitoring as a real-time preventive safety tool remains underutilized. An industry-wide survey conducted as part of this initiative confirmed that, despite the widespread use of microseismic monitoring, no operational systems currently provide real-time alerts directly accessible to underground personnel. This identified gap motivated the development of the Microseismic Traffic Light System, a pioneering solution designed to integrate continuous microseismic event data with the existing SCADA (Supervisory Control and Data Acquisition) platform, hereafter referred to as SCADA throughout this paper. 59
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