Operator Intervention UI Configuration for Plant Anomalies
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Solution Overview
Problem
Current user interfaces for operator intervention in industrial plants are inefficient and unreliable, requiring significant time and effort to configure, leading to potential delays or incorrect resolutions of technical issues, which can impact plant operation and safety.
Innovation Solution
An industrial plant operator intervention system that automatically determines a user interface configuration based on technical context data and operator-specific data, including skill sets and current behavior, to provide an anomaly-related and operator-specific interface, improving the efficiency and reliability of interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized user interface is used for operator intervention, then the device complexity is reduced and ease of operation is improved, but the adaptability to different operators and anomalies is worsened
Solution Approach 1:
The user interface configuration is dynamically generated based on the anomaly type and operator characteristics. The system automatically adapts the interface layout, information display, and interaction elements to match the specific context, transforming a static standardized interface into a dynamic adaptive one that optimizes both ease of operation and adaptability.
Solution Approach 2:
The system changes interface parameters such as layout configuration, information density, and element positioning based on the detected anomaly and operator profile. By adjusting these parameters automatically, the interface becomes tailored to each situation while maintaining operational simplicity through automated configuration rather than manual customization.
2Adaptability or versatility
If a customized user interface is created for each operator and anomaly, then the adaptability is improved, but the device complexity and time to configure the interface are worsened
Solution Approach 1:
The system performs self-service by automatically generating the appropriate user interface configuration without requiring manual intervention from operators or system administrators. The processing unit autonomously analyzes the anomaly, retrieves relevant operator data, and configures the interface accordingly, eliminating the complexity of manual customization while maintaining high adaptability.
Solution Approach 2:
The system prepares interface configurations in advance by pre-defining template structures and parameter sets for different anomaly types and operator categories. When an anomaly occurs, the system quickly selects and instantiates the appropriate pre-prepared configuration, reducing the time and computational complexity required for interface customization while maintaining adaptability.
3Adaptability or versatility
If manual configuration of user interface is required, then the adaptability to operator needs is improved, but the time to perform operator intervention is worsened
Solution Approach 1:
The system automatically configures the user interface by itself based on the anomaly context and operator profile, eliminating the need for manual configuration steps. This self-service approach maintains adaptability to operator needs while significantly reducing the time required to prepare the interface for intervention, allowing operators to focus immediately on resolving the anomaly.
4Adaptability or versatility
If comprehensive operator data is collected and processed, then the operator-specific customization is improved, but the data processing complexity and time are worsened
Solution Approach 1:
The system extracts only the most relevant operator data elements needed for interface configuration, such as skill level, experience with specific equipment, and current task context. By selectively extracting and processing only essential data rather than comprehensively analyzing all available operator information, the system achieves effective operator-specific customization while minimizing data processing complexity and time.
Data Source
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AI summary
The invention provides an industrial plant operator intervention system for use in an industrial plant, the system comprising a processing unit configured to monitor and analyze industrial plant operation data to detect an anomaly in the industrial plant operation data that warrants initiating an operator intervention, and in response to detecting the anomaly, automatically determine a user interface configuration of a user interface to be presented to a designated operator who is to perform the operator intervention. The user interface configuration is determined on the basis of technical context data, including industrial plant operation data associated with the anomaly, and on the basis of operator data pertaining to the designated operator, in such a manner that an anomaly-related and operator-specific user interface configuration is obtained.