Process Control Alert Routing for Critical Issue Prioritization
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Solution Overview
Problem
Managing alerts in process control systems is time-consuming and difficult due to the large number of alerts generated by numerous devices, many of which are extraneous or not urgent, leading to inefficiencies in addressing critical issues.
Innovation Solution
Implementing a system that automatically manages alerts by associating them with storage locations based on rules, allowing for suppression of non-critical alerts and triggering actions such as notifications for high-priority alerts, and dynamically generating new rules based on operational conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all alerts from process control devices are monitored and addressed manually, then comprehensive monitoring is achieved, but the time and effort required increases significantly
Solution Approach 1:
The system enables self-service alert management by automatically categorizing, prioritizing, and routing alerts based on pre-defined rules. The alert management system autonomously processes alerts without requiring manual intervention for each alert, thereby maintaining comprehensive monitoring while significantly reducing the time personnel spend addressing alerts.
Solution Approach 2:
The system performs preliminary actions by pre-configuring rules for alert categorization, prioritization, and routing before alerts are generated. These pre-established rules enable automatic processing of alerts as they occur, eliminating the need for manual assessment and routing of each alert individually.
2Reliability
If all alerts are presented to personnel for review, then no critical issues are missed, but the information overload reduces efficiency
Solution Approach 1:
The system applies local quality by differentiating between various types of alerts and applying different handling strategies to each category. Critical alerts receive immediate attention and are routed to appropriate personnel, while non-critical alerts are suppressed or handled automatically. This selective approach ensures no critical issues are missed while eliminating information overload from non-essential alerts.
Solution Approach 2:
The system changes the parameters of alert presentation by dynamically adjusting which alerts are displayed, their priority levels, and their routing based on pre-defined criteria. This parameter-based filtering transforms the uniform stream of all alerts into a prioritized, categorized presentation that maintains detection of critical issues while improving management efficiency.
3Ease of operation
If manual rules are created for each device and alert type, then precise control is achieved, but the system complexity increases
Solution Approach 1:
The system achieves universality by implementing a single alert management platform that handles multiple devices, alert types, and routing scenarios through a unified rule engine. This universal system provides precise control over alert routing while reducing complexity by consolidating what would otherwise require separate manual rules for each device and alert type into a centralized, manageable framework.
Data Source
AI summary
Techniques for managing alerts associated with devices of a process control system in a process plant are described. According to certain aspects, a set of devices may generate and communicate a set of alerts to an asset management system, which can examine the set of alerts and determine whether a rule(s) is applicable. In embodiments, the rule may specify how the set of alerts should be stored as well as an action(s) to initiate in response to storing the set of alerts. The asset management system may further automatically generate new rules to be applied to alerts of the devices, to further refine the management of the alerts.