Plant Control GUI and Logic Generation Through Setup Wizards
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Solution Overview
Problem
Building automation systems lack an efficient method for dynamically generating plant control graphical user interfaces (GUIs) and control logic, requiring specialized knowledge and time-consuming processes for configuration and programming.
Innovation Solution
A graphical setup wizard that guides users through selecting plant types, configurations, and components, dynamically generating a GUI with a plant control logic and Key Performance Indicators (KPIs), allowing for real-time interaction and control without requiring specific knowledge of plant libraries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional plant control configuration methods are used, then control functionality is achieved, but the process is time-consuming and requires specialized knowledge of plant libraries
Solution Approach 1:
The system performs automatic plant library generation by having the controller discover plant components through communication with connected devices and autonomously create the plant library data structure, eliminating the need for manual configuration by specialists
Solution Approach 2:
The controller pre-generates the plant library and control logic before user interaction with the graphical interface, so that when users access the setup wizard, the configuration process is already substantially complete and requires only verification or minor adjustments
2Reliability
If manual plant library generation is used, then control logic is established, but the process requires specialized programming knowledge and is complex
Solution Approach 1:
The controller autonomously discovers plant components by communicating with connected devices, automatically identifies their parameters and relationships, and generates the complete plant library and control logic without requiring user programming knowledge
Solution Approach 2:
The manual process of specialists programming control logic is replaced by an automated electronic discovery and generation process, where the controller uses communication protocols to identify components and algorithmically creates the control logic and graphical interface
3Adaptability or versatility
If comprehensive plant configuration is performed manually, then complete control functionality is achieved, but errors and rework are more likely
Solution Approach 1:
The system provides real-time feedback during the automatic discovery process, allowing users to verify component identification and configuration parameters, and enables correction of any errors before finalization, thereby improving configuration accuracy while maintaining flexibility
Solution Approach 2:
The controller performs preliminary validation and error checking during the automatic plant library generation process, identifying and flagging potential configuration issues before they can propagate through the system, thus reducing rework while preserving configuration flexibility
Data Source
AI summary
Method and systems for dynamically generating or editing a graphical dashboard via a graphical user interface (GUI) setup are provided. The method includes determining a type of a plant through the GUI setup, determining a configuration of the plant through the GUI setup, determining at least one component of the plant through the GUI setup, and configuring parameters of the at least one component and/or the plant through the GUI setup. The method also includes generating the dashboard including a plant control logic of the plant based on the type, the configuration, the at least one component, and the parameters of the at least one component and/or the plant. The method further includes controlling the plant based on the plant control logic.


