RENrisk provides a software solution, IPlant+IRIS, that utilizes real-time risk indicators and predictive analytics to identify and localize potential operational hazards in industrial environments. This technology enhances safety and efficiency by enabling proactive interventions, thereby reducing the likelihood of accidents and optimizing system performance.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial environments face the challenge of proactively identifying and mitigating operational hazards to prevent accidents and optimize system performance. Traditional risk management approaches often lack real-time visibility and predictive capabilities, hindering timely intervention and effective risk control.
Solution
RENrisk offers IPlant+IRIS, a software solution that leverages real-time risk indicators and predictive analytics to identify and localize potential operational hazards in industrial settings. By incorporating resilience engineering principles, the system provides a holistic view of risk, integrating plant data, human factors, and operational practices. The hybrid system combines scientific knowledge of production processes with AI algorithms to deliver continuous risk assessment and real-time monitoring, enabling proactive interventions and optimized maintenance management.
Target Audience
RENrisk targets plants at Major Accident Hazard (MAH) and industrial environments where risk management is a significant economic and strategic factor.
Features
- Real-time risk assessment using the Sapio Risk Indicator (IRIS) to calculate the probability of accidental events.
- Integration of Human Reliability and Asset Reliability practices from the nuclear sector and complex systems.
- Holistic risk analysis model incorporating plant components, human behavior, and maintenance management.
- Scalable solution applicable to both small production sites and large industrial plants.
- Predictive analytics for Plant & Components, Plant Productive Performances Optimization, and Plant Site Performance Management.
- Integration with Enterprise Asset Management (EAM) software for maintenance management.
- Digital Twin visualization with a 3D model displaying risk levels and alarms.
- Bayesian networks to visualize probabilities of events and their criticality.