Context

Industrial networks—especially in gas distribution, process plants, and utility operations—generate thousands of alarms every day across assets, zones, and control systems. Operators and supervisors must quickly understand which alarms truly matter, identify emerging patterns, and assign the right field actions without delay.
However, manual review of logs, repeated nuisance alarms, inconsistent documentation, and disconnected corrective workflows make it difficult to maintain situational awareness and ensure timely intervention. Teams need a clearer, more intelligent way to consolidate alarms, detect root causes, and prioritize the actions that protect safety and uptime.

Challenges

Traditional alarm management relies heavily on human judgment and fragmented reporting. Operators struggle to navigate alarm floods, planners lack a structured mechanism to translate alarm trends into maintenance actions, and leaders have little visibility into recurring issues or systemic vulnerabilities.
Without automated clustering, prioritization, or guided recommendations, teams risk overlooking early indicators of equipment malfunction, process instability, or configuration issues. This leads to reactive decisions, delayed responses, increased operational risk, and weak feedback loops for alarm rationalization or preventive maintenance planning.

Solution

Alarm Triage & Health Prioritization transforms alarm handling into a streamlined, intelligence‑driven process. The solution combines a unified operational dashboard with an AI‑powered Copilot agent that analyzes incoming alarms, identifies meaningful clusters, summarizes root causes, and generates prioritized, role‑specific recommendations.
Technicians can capture new records with evidence, supervisors can review and assign corrective actions, and planners receive structured tables that translate alarm clusters into preventive maintenance tasks with clear next steps. By providing operators, leaders, and planners with timely, contextual guidance, the solution reduces alarm noise, accelerates response, strengthens maintenance planning, and enhances overall operational reliability.