Physical Model Generation Using State-Based Behavior Templates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for generating physical models of control systems require manual preparation of nominal mode operation models, which is time-consuming and inefficient, especially when dealing with multiple states and behaviors of physical components.
Innovation Solution
A physical model generation apparatus and method that automatically acquire architecture, state, and template information to generate behavior information for each physical component, creating a comprehensive physical model of the control system without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual generation of nominal mode operation models is performed, then the physical model can be generated with accurate representation of system behavior, but the time and effort required for model generation increases significantly
Solution Approach 1:
The patent uses template information that describes common behaviors of physical components to automatically generate behavior information for each component. Instead of manually creating accurate models for each component, the system copies and adapts standardized behavior templates, maintaining accuracy while dramatically reducing the time and effort required for model generation.
Solution Approach 2:
The system automatically acquires architecture information and state information from the control system itself, and uses this information combined with templates to generate the physical model without requiring manual intervention. The system serves itself by extracting necessary information from the actual system configuration and automatically synthesizing the behavioral models.
2Reliability
If manual generation of physical models is performed, then the model generation process can be controlled and verified, but the complexity of the generation process increases
Solution Approach 1:
The patent segments the physical model generation process into distinct components: architecture information acquisition, state information acquisition, template information acquisition, and behavior information generation. Each component handles a specific aspect of the modeling process, making the overall complex task manageable and verifiable through modular processing steps.
Solution Approach 2:
The system uses universal templates that describe common behaviors applicable to multiple physical components. These templates serve multiple functions by capturing standardized behavior patterns that can be applied across different components, reducing the complexity of creating individual models while maintaining reliability through consistent template-based generation.
3Adaptability or versatility
If detailed behavior information for each state of physical components is included, then the physical model comprehensively represents system operations, but the amount of information and processing required increases
Solution Approach 1:
The patent prepares template information in advance that describes common behaviors for different connection conditions. This preliminary preparation allows the system to efficiently generate comprehensive state-specific behavior information during model generation without having to create each state description from scratch, reducing processing requirements while maintaining comprehensive state representation.
Solution Approach 2:
The system generates behavior information specifically tailored to each physical component's actual connection conditions and states. Rather than using a single generic model, the behavior information is locally adapted to match the specific architecture and operational states of each component, providing comprehensive representation without unnecessary generic information.
Data Source
AI summary
A physical model generation apparatus (2000) acquires architecture information (10), state information (20), and template information (30). The architecture information (10) describes physical components (52) included in a target control system (50), and connections (54) for each physical component (52). The state information (20) describes associations between a state of the physical component and one or more working connections through which signals are transferred in the corresponding state. The template information (30) describes associations between a behavior template and a connection condition. The behavior template describes behaviors that are common to the physical components (52) whose working connections satisfy the connection condition corresponding thereto. The physical model generation apparatus (2000) generates a physical model (40) that includes, for each physical component (52), behavior information (42) that describes behaviors of the physical component (52) for each of its possible states.