Simulation Measurement Points for Component Analysis
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Solution Overview
Problem
Current simulation technologies lack adequate solutions for testing, measuring, or evaluating the performance of components during simulation, limiting their effectiveness in accurately representing and analyzing systems.
Innovation Solution
A user device is provided that enables the creation of models with measurement points, allowing users to simulate systems and measure characteristics such as electrical current, potential, and resistance, with the ability to reconfigure measurement points for different tests, using a graphical user interface and connected devices like electronic circuit boards and probes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement points are added to simulation models to enable testing and measuring component performance, then measurement capability is improved, but device complexity increases
Solution Approach 1:
The patent uses measurement point objects that are virtual representations or copies of physical measurement locations. These measurement point objects allow the simulation model to capture and analyze component performance without adding physical complexity to the actual system being simulated. The measurement points are informational copies that enable observation and measurement capabilities within the digital twin environment.
Solution Approach 2:
The measurement point objects serve as intermediaries between the simulation model components and the analysis tools. They mediate the measurement process by providing standardized interfaces for capturing component performance data, thereby enabling measurement capability without directly increasing the complexity of the core simulation model.
2Adaptability or versatility
If multiple measurement points are used to measure different characteristics, then measurement versatility is improved, but device complexity increases
Solution Approach 1:
The measurement point objects are designed with multi-functionality, capable of measuring various characteristics including component performance, environmental conditions, and operational parameters. Each measurement point object can adapt to measure different types of data through configuration rather than requiring separate specialized measurement systems for each parameter type, thereby improving versatility without proportionally increasing complexity.
Solution Approach 2:
The measurement point objects are dynamic and reconfigurable, allowing their measurement capabilities to be adjusted during simulation based on testing requirements. This dynamic nature enables the same measurement point infrastructure to serve multiple measurement purposes at different times, enhancing versatility while maintaining manageable system complexity through resource sharing.
3Reliability
If measurement points are integrated into the simulation model, then system analysis effectiveness is improved, but ease of operation deteriorates
Solution Approach 1:
The measurement point objects are designed to be self-configuring to the extent possible, automatically identifying suitable locations and characteristics within the simulation model. This self-service capability reduces the manual effort required to integrate measurement points, thereby improving ease of operation while maintaining comprehensive system analysis effectiveness.
Solution Approach 2:
The measurement point objects are pre-configured with standard measurement capabilities and interfaces before being integrated into the simulation model. This preliminary preparation reduces the complexity of integration and makes the measurement system easier to operate, as the basic functionality is already established and ready for deployment without requiring extensive setup or configuration during model creation.
Data Source
AI summary
A computing device may be used to create a model that includes a block. The block may represent a function corresponding to a simulation. Measurement points may be inserted into the model. The model may be used to create a simulation, and the measurement points may be used to measure operational characteristics corresponding to the block.