AI Assistant Predicts Industrial Alarms Before Occurrence

Honeywell has introduced Experion Operations Assistant, an AI-powered solution designed to improve plant monitoring and operator decision-making in industrial environments. Integrated within the Experion PKS distributed control system, the tool combines real-time and historical data to predict operational issues and reduce unplanned downtime.

Predictive Insights for Process Operations
The system applies AI models to analyze plant data streams and identify patterns associated with potential alarm conditions. During pilot deployments with Chevron and TotalEnergies, the solution demonstrated the ability to predict alarm events approximately 5 to 10 minutes in advance.

This early warning capability enables operators to take corrective action before incidents escalate, reducing the likelihood of production losses and safety risks. Such predictive functionality is particularly relevant in complex process industries, where small deviations can lead to significant operational disruptions.

Integration with Distributed Control Systems
Experion Operations Assistant is built on Honeywell’s Experion PKS platform, allowing it to integrate directly into existing control room environments. This approach leverages established infrastructure and site-specific data, minimizing the need for additional system deployment or major configuration changes.

By embedding AI capabilities within the distributed control system, the solution bridges the gap between automated analytics and human decision-making. Operators retain control while receiving data-driven recommendations based on real-time system conditions.

Use of Site-Specific Data and AI Models
A key feature of the system is its ability to incorporate site-specific knowledge into its analytical models. By combining historical operational data with contextual information, the AI can generate tailored insights relevant to each facility.

Language models process this data to provide actionable guidance, helping operators interpret complex system behavior and respond more effectively to emerging issues. This supports more consistent decision-making, particularly in environments with high variability or evolving operating conditions.

Addressing Workforce and Operational Challenges
Industrial operators face increasing pressure to maintain asset productivity while managing workforce transitions, including the loss of experienced personnel. Tools that capture and apply institutional knowledge can help mitigate these challenges.

By providing predictive insights and contextual recommendations, the system supports less experienced operators in making informed decisions, contributing to safer and more efficient plant operations.

Edited by Romila DSilva, Induportals Editor, with AI assistance.