Anomaly Action Center AI Software Prioritizes Plant Anomalies

TwinThread’s Anomaly Action Center ranks anomalies by persistence and deviation and personalizes each user’s alert queue.

Industrial teams often deal with high volumes of undifferentiated alarms. They troubleshoot problems by hand that have already been solved, and expertise stays with individual personnel instead of the organization. Anomaly Action Center is AI-based software that prioritizes anomalies across equipment assets and process operations. It delivers each anomaly with the context operators, maintenance technicians, and engineers need to act on it.

The software pairs with the platform's pre-built solutions. It sends users a one-sentence summary of each issue, ranked by how long the issue has persisted and how far it has strayed from ideal operating limits. An Anomaly Rollup function aggregates anomalies from asset health and process performance models and weighs persistence and magnitude to determine ranking. When a single property, such as temperature, feeds several models of the same asset, Rollup normalizes the results into one anomaly score.

Score thresholds, alert threshold buffers, and grouping by digital twin or topic keep low-priority deviations out of the main view. The software also pushes the alerts each user typically acts on to the top of that user’s queue and deprioritizes alerts the user has historically ignored.

Engineers track each anomaly through Cases and Case Workflow, then document the fix as a standard operating procedure (SOP) in a Notebook. Alert Rules with tiered criticality automatically attach the relevant Cases and Notebooks when a threshold is crossed. Recurring issues go to the right person with the documented fix already attached, and teams can configure rules to automate future responses. The software integrates directly with computerized maintenance management systems (CMMS), quality management systems (QMS), and other plant software, so teams can investigate anomalies in the systems they already use.

Applications

  • Anomaly ranking across asset health & process performance models
  • Alarm triage & alert threshold management
  • Anomaly investigation tracking and case management
  • SOP documentation for recurring faults
  • Rule-based automated response to known issues

Industries

  • Process industries
  • Asset-intensive plant operations
  • Multisite industrial operations

Who It's For

  • Alert fatigue from high alarm volumes
  • Recurring issues troubleshot manually each time
  • Expertise retention across shifts & sites
  • Multiple models monitoring the same asset property
  • Anomaly investigation within existing CMMS or QMS

Features:

  • One-sentence summary for each anomaly
  • Ranking by persistence and deviation from ideal operating limits
  • Anomaly Rollup aggregation across asset health and process performance models
  • Normalized single anomaly score when one property feeds multiple models
  • Score thresholds, alert threshold buffers, and grouping by digital twin or topic
  • Cases and Case Workflow for structured investigations
  • SOP documentation in Notebooks
  • Alert Rules with tiered criticality that auto-attach relevant Cases and Notebooks
  • Configurable rules for automated response
  • Personalized alert queues based on each user’s response history
  • Direct integration with CMMS, QMS, and other plant software

TwinThread, Inc.
Charlottesville, VA
(434) 218-7856
[email protected]
twinthread.com

Contributors:
This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.

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