Process Control Visualization Interface for Operator Information Visibility
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Solution Overview
Problem
Conventional process control systems lack effective visualization tools, leading to operators often missing important information that could improve or mitigate abnormal situations, resulting in reduced confidence and operational benefits.
Innovation Solution
The development of a graphical user interface that provides operators with a visualization of control techniques through icons, faceplates, and trend displays, allowing for the identification, monitoring, and adjustment of process variables in a manner consistent with normal workflow, promoting better understanding and utilization of control applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional process control systems are used without advanced visualization tools, then the system structure remains simple, but operators miss important information leading to reduced operational effectiveness
Solution Approach 1:
The control system information is segmented into multiple hierarchical levels: process overview displays showing multiple process areas, individual process displays for specific processes, and controller displays for detailed controller information. This segmentation allows operators to access comprehensive information progressively rather than overwhelming them with all data at once, resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The system adds a temporal dimension to information display by implementing historical trending capabilities and time-based data visualization. Operators can view process variable trends over time, compare current values with historical data, and analyze patterns. This dimensional addition enhances information visibility without fundamentally complicating the core control system architecture.
2Ease of operation
If comprehensive visualization tools are implemented to show all process variables and control techniques, then operator understanding improves, but the interface becomes complex and difficult to operate
Solution Approach 1:
Different regions of the graphical interface are assigned different levels of detail and functionality appropriate to their purpose. Process overview displays provide high-level summaries with simplified graphics, while individual process displays offer detailed variable information and control parameters. This local differentiation allows comprehensive information availability while maintaining ease of operation at each interaction level.
Solution Approach 2:
The graphical interface implements dynamic adaptability where displays automatically adjust their content and detail level based on operator selections, alarm conditions, and operational context. When abnormalities are detected, the system dynamically prioritizes displaying relevant control techniques and affected variables. This dynamic behavior reduces operational complexity by presenting only context-relevant information while maintaining comprehensive capabilities when needed.
3Productivity
If operators are provided with detailed information about all process variables and controllers, then operational benefits increase, but the time required to process and understand information increases
Solution Approach 1:
The system pre-organizes and pre-processes control information into structured formats before operator interaction. Controllers are pre-configured with documented control techniques, process descriptions, and variable relationships. When operators access displays, this pre-organized information is immediately presented in logical sequences rather than requiring operators to search or interpret raw data, significantly reducing information processing time while maintaining comprehensive detail.
Solution Approach 2:
The system implements intelligent feedback mechanisms that monitor operator interactions and automatically adjust information presentation. When operators frequently access specific variables or control elements, the system learns these patterns and prioritizes displaying related information proactively. Alarm conditions trigger automatic feedback loops that present targeted information about affected control techniques, reducing the time operators need to spend analyzing abnormal situations while ensuring complete information availability.
Data Source
AI summary
Various graphical displays used for visualization of control techniques in a process control system can be provided to an operator. For example, a graphical display could include (i) an image associated with at least a portion of a process and (ii) one or more icons identifying one or more process variables associated with at least the portion of the process. Selection of an icon could present the operator with a faceplate containing information associated with at least one of the process variables. Another graphical display could include (i) a focal variable symbol identifying a focal process variable and (ii) one or more additional variable symbols identifying one or more additional process variables associated with the focal process variable. Gains associated with the additional process variables could be identified in the display. Yet another graphical display could be used to remotely invoke and control applications executing in a process control system.