Shared Data Model Control for Flexible Technical Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing control systems for complex technical systems, such as infrastructure networks and production plants, are often inflexible and require direct data exchange between specific function modules, limiting their adaptability and integration into different control environments.
Innovation Solution
A method and arrangement where functionally linked system components access a common data model, including an interface, simulation, and output module, allowing for independent operation and reducing mutual dependency, enabling flexible adaptation and integration into various control systems without direct data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If direct data exchange between function modules is implemented, then system integration and control coordination are improved, but system flexibility and adaptability to different control environments deteriorate
Solution Approach 1:
The patent introduces a data model as an intermediary layer between function modules. Instead of direct data exchange, modules access and modify the centralized data model, which serves as a mediator. This enables control coordination through shared data while maintaining module independence and system adaptability, as the data model can be configured for different control environments without changing module interfaces.
Solution Approach 2:
The system is segmented into independently operable function modules that do not require direct communication. Each module operates autonomously by accessing the shared data model, which separates data management from control logic. This segmentation improves adaptability while maintaining coordination through the common data structure.
2Manufacturing precision
If specific integration into control technology is implemented, then control optimization precision is improved, but system flexibility and ease of integration into different environments deteriorate
Solution Approach 1:
The data model serves as a universal interface that can accommodate different control technologies and optimization algorithms. By providing a standardized data structure that multiple modules can access, the system achieves precise control optimization through specialized modules while maintaining the flexibility to integrate different control approaches through the same universal data interface.
3Productivity
If numerical evaluations and optimizations are highly specific to control technology, then optimization effectiveness is improved, but system complexity and difficulty of representation deteriorate
Solution Approach 1:
The patent creates a virtual copy of the control system in the form of a data model that mirrors the physical system's state and parameters. This virtual representation allows complex numerical evaluations and optimizations to be performed on the data model without affecting the physical system, simplifying the representation while maintaining optimization effectiveness. The data model serves as a simplified abstraction that captures essential system behavior.
Data Source
Figure 1~2
Figure 2
AI summary
To control a technical system (TS) with multiple system components (T1, T2, R), several function modules (FM) access a common data model (DM). The function modules (FM) comprise an interface module (IO), a simulation module (SIM), and an output module (OUT). The data model (DM) includes data components (DT1, DT2, DR) assigned to the system components, as well as simulation model data (SMD) for a simulation model (SM) of the technical system. The function modules (FM) are controlled by a sequence controller (AS), whereby function module-specific selection data (S1,...,S4) is transferred between the sequence controller (AS) and each function module (FM), enabling the respective function module (FM) to access model data from the data model (DM). The interface module (IO) continuously acquires operational data (BD) from the technical system and stores it in the data model (DM) via selection data-specific access.The simulation module (SIM) reads the operational data (BD) from the data model (DM) via selection data-specific access and determines the dynamic behavior of the technical system. Simulation data (SD) about the determined dynamic behavior is stored by the simulation module (SIM) in the data model (DM) via selection data-specific access. The output module (OUT) reads the simulation data (SD) from the data model (DM) via selection data-specific access and outputs it for controlling the technical system.