Coupled Simulation Control With Logical Time and Abnormality Analysis
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Solution Overview
Problem
Current simulation technologies, such as FMI and HLA, lack analysis capabilities for coupled simulations, making it difficult to manage and improve complex systems, especially when multiple simulator elements are involved, and existing protocols like DCP only monitor real-time requirements without enabling further analysis.
Innovation Solution
A control system that includes a wrapper unit for simulators to acquire information, a first control unit for managing logical time and instructing simulations, a second control unit for information exchange, and an analysis unit to detect abnormalities in coupled simulations based on state variables and cooperation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of simulator elements in coupled simulation increases, then the simulation capability and coverage are improved, but the analysis difficulty and system complexity increase
Solution Approach 1:
The patent introduces a control system as an intermediary between multiple simulators. This control system includes a master controller that coordinates simulation execution and slave controllers that manage individual simulators. By inserting this intermediary layer, the system can handle multiple simulators without proportionally increasing user burden, as the control system automatically manages the complexity of coordination and data integration.
Solution Approach 2:
The control system performs multiple functions simultaneously: it manages simulation execution timing, controls information exchange between simulators, collects state variables, and performs abnormality analysis. This multi-functional approach consolidates what would otherwise require separate tools and processes, reducing overall system complexity while maintaining the ability to handle multiple simulators.
2Adaptability or versatility
If more simulator elements are combined in coupled simulation, then the simulation scope is expanded, but the speed and accuracy of problem analysis deteriorate
Solution Approach 1:
The control system performs preliminary actions by automatically collecting state variables from all simulators during execution and pre-processing this data. It also performs abnormality analysis during the simulation process rather than requiring post-simulation analysis. This preliminary action approach prepares analysis data in advance, significantly reducing the time required for problem analysis after simulation completion.
Solution Approach 2:
The control system implements continuous feedback by monitoring state variables from each simulator and performing real-time abnormality analysis. When abnormalities are detected, the system can immediately identify which simulator elements are causing issues, enabling rapid problem localization and analysis without requiring manual inspection of all simulator data.
3Ease of operation
If conventional simulation standards (FMI, HLA) are used, then compatibility and ease of operation are maintained, but analysis functionality is lost
Solution Approach 1:
The control system merges the advantages of conventional standards with advanced analysis capabilities. It maintains compatibility with FMI and HLA standards for simulator communication while simultaneously integrating automatic data collection and abnormality analysis functions. This combination allows users to benefit from both the ease of operation provided by standard protocols and the enhanced analysis capabilities that would otherwise be lost.
4Adaptability or versatility
If manual data collection and analysis is performed by users, then flexibility and adaptability are maintained, but productivity and time efficiency decrease
Solution Approach 1:
The control system performs self-service by automatically collecting state variables from simulators, processing this data, and performing abnormality analysis without requiring user intervention. The system independently manages the entire analysis workflow, from data collection to generating analysis results. This self-service capability dramatically reduces the time users would spend on manual data collection and analysis while maintaining flexibility through configurable analysis parameters.
Data Source
AI summary
A control system controls a coupled simulation in which one simulation is constructed by combination of a plurality of simulators, the control system including processing circuitry configured to execute simulation in the plurality of simulators and acquires information including state variables in calculation processes in the simulators, manage a logical time for each of the simulators according to a causal relationship between the plurality of simulators, and instructs the wrapper unit to execute the simulation in each of the simulators by using the logical time, control information exchange between the plurality of simulators according to the causal relationship between the plurality of simulators and acquires cooperation information, which is information exchanged between the simulators, and analyze presence or absence of an abnormality in the coupled simulation on a basis of the state variables in the calculation processes and the cooperation information.