Simulation Platform Segmentation for Non-Expert Access
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Solution Overview
Problem
Current simulation methods require expert knowledge and specialized tools, making it difficult for non-experts to perform simulations quickly, which hinders timely customer response and product development.
Innovation Solution
A simulation providing device and method that allows non-experts to perform simulations without expert help by receiving and processing simulation module selection information and input information, including appearance, physical property, and analysis condition data, using a server-based system that transmits results directly to user terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simulation work is concentrated on experts using specialized simulation tools, then simulation accuracy and reliability are improved, but simulation speed and responsiveness to customer requests deteriorate
Solution Approach 1:
The simulation system is segmented into multiple independent simulation modules (e.g., electromagnetic simulation module, thermal simulation module, mechanical simulation module). Each module handles specific simulation tasks independently, allowing parallel processing and distributing the workload across multiple experts or automated systems, thereby improving both accuracy and speed.
Solution Approach 2:
A universal simulation platform is created that can perform multiple types of simulations through interchangeable simulation modules. The platform provides common functionality for model import, parameter setting, and result analysis that works across different simulation types, enabling non-experts to perform various simulations without needing specialized knowledge for each simulation type.
2Reliability
If expert knowledge and specialized simulation tools are required, then simulation reliability is improved, but ease of operation deteriorates
Solution Approach 1:
An automated simulation management system acts as an intermediary between non-expert users and complex simulation processes. The system automatically handles model validation, parameter verification, simulation execution, and result interpretation, shielding users from technical complexities while ensuring simulation reliability through automated checks and expert-prepared templates.
Solution Approach 2:
Pre-prepared simulation models and parameter sets created by experts are stored as reusable templates. Non-expert users can copy these validated templates and modify them for their specific needs, ensuring that simulations maintain expert-level quality while being easy to perform. The system automatically manages version control and validation of these copied templates.
3Adaptability or versatility
If multiple simulation modules are used for complex simulations, then simulation versatility is improved, but device complexity increases
Solution Approach 1:
Multiple simulation modules are merged into a single integrated simulation platform with a unified user interface and common data management system. The platform automatically coordinates between different simulation modules, manages data exchange between them, and presents unified results to users, hiding the underlying complexity while providing versatile simulation capabilities.
Solution Approach 2:
Simulation modules are organized in a nested hierarchical structure where complex simulations are built by nesting simpler simulation modules within each other. The system automatically manages the execution sequence and data flow between nested modules, allowing users to perform complex multi-physics simulations by simply selecting and configuring high-level simulation scenarios without understanding the complexity of individual constituent modules.
Data Source
AI summary
A simulation providing method according to an embodiment of the present invention comprises the steps of: receiving simulation module selection information and input information from a user terminal; and performing a simulation using the received simulation module selection information and the input information, and transmitting a result of the simulation to the user terminal, wherein the input information includes at least one of appearance information, physical property information, and analysis condition information.


