Alarm management: fix the alarm system before adding AI
Alarm floods are solved with an alarm philosophy first, not a model. AI works better on an orderly alarm list.
Alarm flooding occurs when alarms arrive faster than an operator can meaningfully respond. ISA-18.2 and similar guidance treat more than ten alarms in ten minutes per operator as a flood. Main causes are chattering, stale or repeated alarms and cascades. Fix the alarm design first; AI comes after that.
Alarm flooding is the state in which the number of alarms in a period exceeds what an operator can respond to meaningfully. It can come from one large failure or from many small deviations across a system. When the operator has to work through each alarm in turn, the risk of missing the critical one rises.
A cascade alarm is a chain of alarms that follows a single source failure, and most of them share the same cause. Alarm flooding is a design problem in the alarm system. A new software package or an AI model does not solve it by itself.
An operator sees 60 alarms in a 10-minute window (hypothetical). Of these, 36 come from one level alarm that keeps chattering, and 24 come from other alarms. A deadband and an on-delay are added to the chattering alarm, so it now produces only one event. The new total is 1 + 24 = 25 alarms. That is still above ten, so the flood remains. One fix is not enough: the other 24 alarms need prioritisation and suppression as well. The total fell from 60 to 25, a 58.3 percent reduction (35 / 60).
The first mistake is raising thresholds at random to reduce the count, which also hides real risks. The right order starts with alarm rationalisation: each alarm needs an operator action, a priority and an acceptable response time. The second mistake is adding only a delay to chattering alarms and skipping the deadband. The third is failing to document suppression used during maintenance or start-up. Adding new alarm types before the count is under control makes the problem worse.
Ten alarms in ten minutes is the flood threshold used in the guidance, not a target for normal running. Measure alarms per shift and per operator, then set your own budget. The right number depends on process complexity and the operator's tasks.
No. Suppression temporarily hides an alarm that is irrelevant in a given state, such as equipment out of service, but the alarm should stay visible in the record. Flooding describes alarm density across the system. Undocumented suppression can hide a real fault.
Example numbers are hypothetical, not measured field results.