AI-Powered Industrial Safety Intelligence for Zero-Harm Operations
Fusing real-time IoT gas/temperature telemetry, active work permits, and worker geolocation databases into a unified, predictive risk prevention system.
Heavy industrial operations continue to face catastrophic incidents due to siloed safety systems. In FY2023, over 6,500 fatal workplace accidents were recorded in India.
The Silo Gap: During major process events, warning indicators from local pressure and gas sensors often exist, but because they reside in isolated databases (SCADA, manual shift logs, or physical work permits), control rooms cannot cross-reference the data in time to prevent explosions.
According to a recent industry survey, over 60% of large facilities rely on manual handovers to coordinate between disparate safety tools, creating critical latency gaps when coordinating response.
SentraGrid bridges the coordination gap by introducing an **Autonomous Safety Intelligence Layer** that correlates and analyzes complex conditions.
Compound Risk Assessment: Traditional systems alert when a single sensor crosses an absolute threshold. SentraGrid assesses **co-occurring hazards**—such as active hot work permits authorized near sub-threshold gas trends—to predict incidents up to 40 minutes in advance.
By translating sensor telemetry, SCADA values, and operational metadata into a dynamic geospatial risk layer, the platform empowers officers with true situational awareness.
Core Safety Intelligence Pillars
Correlates multi-sensor telemetry, worker occupancy, and process trends to predict cumulative safety indexes before local alarms breach thresholds.
Superimposes dynamic risk rings over interactive plant layouts (Coke Oven, Gas Holder, Refining Units) utilizing realtime worker GPS coordinates.
Permit gate checks requested tasks (like welding) against live nearby atmospheres to block hazardous concurrent work permissions.
A vector-search agent querying OISD regulatory guidelines and near-miss logs using natural language to extract historical prevention patterns.
Triggers plant-wide siren protocols, archives sensor evidence data, and auto-generates preliminary incident documentation.
Continuously monitors standard permit logs and overrides against safety laws to guarantee 100% auditable documentation.