AI for Industrial Alarm Rationalization & Alert Fatigue Reduction
Apply AI to alarm rationalization, nuisance alarm reduction, and operator decision support to improve safety and response in process industries.
Excessive alarms lead to fatigue and missed critical events. AI clusters and prioritizes alarms, suppresses nuisance patterns, and guides operators with context, improving safety KPIs and compliance with ISA 18.2/EEMUA 191.
Dynamic prioritization by risk, process state, and consequence.
Operator guidance with likely cause/actions from KB/SOPs.
Escalation and notification policies.
Process state indicators, interlocks, mode flags.
Incident logs and maintenance events.
Alarm/event streams; normalization; noise handling.
Frequently asked questions
What is the purpose of using guided response cards with SOP links in an industrial setting?
Guided response cards, linked to Standard Operating Procedures (SOPs), provide operators with immediate access to the correct actions to take during an alarm event, streamlining the response process.
What is a compliance dashboard and how does it relate to ISA 18.2/EEMUA 191?
A compliance dashboard visually represents an organization’s adherence to safety standards like ISA 18.2 and EEMUA 191, allowing for continuous monitoring and identification of areas needing improvement.
How is alarm/event history ingested and used to compute ISA/EEMUA baselines?
Alarm/event data is collected and analyzed to establish baseline behavior patterns – the ‘ISA/EEMUA baselines’ – which can then be compared against current events to identify anomalies or deviations.
What steps are taken to identify nuisance/flood patterns in alarm data, and what actions are proposed?
Algorithms analyze alarm frequency and correlations to pinpoint recurring nuisance patterns. Based on this analysis, specific cleanup actions – such as adjusting thresholds or modifying system configurations – are recommended.
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.