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RAINFE - Version DTS -Digital Twin Pilot System
Data-driven modeling and simulation tools based on machine learning can be used to create performance digital twins of various equipment and support digital experiments and combined digital-real experiments based on digital twins. They can be used to deduce and optimize physical test schemes, replace high-risk physical tests, monitor physical test processes, and reduce the risks of physical tests.
- Data-driven modeling
It incorporates multiple mainstream data-driven modeling methods, is highly versatile, and is applicable to various types of equipment and professions. It can achieve fusion modeling of multi-source data such as simulation and field measurement to improve the accuracy and applicability of the model.
- Twin model assembly technology
It supports the assembly of multiple twin models, as well as the assembly with other simulation models conforming to the FMI standard, enabling the model building and system-level simulation of complex systems and scenarios.
- Digital Experiment
Digital experimentation capabilities can be used to replace high-cost, high-risk physical experiments, and can also be used for the dynamic simulation and optimization of physical experiment schemes.
- Combined numerical and real experiments
The combined numerical and physical testing function can be used for fault monitoring and alarms during physical testing processes, as well as for health management of the test equipment and testing facilities.
- 3D scene building
It features a modular building function for complex 3D scenes, allowing users to freely build 3D scenes and supports 3D visualization of real-time experimental and simulation data.
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Data preparation
Data preprocessing, data filtering, and experimental design
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Model building
Data-driven twin modeling, model validation, model calibration, sensitivity analysis, and uncertainty quantification
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Experimental system setup
Supports heterogeneous model assembly, allowing multiple twins to be assembled into a single system.
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Digital Experiment
Conduct digital experiments according to the given test conditions and procedures.
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Combined numerical and real experiments
When integrated with a physical experiment data acquisition system, it can receive physical experiment data in real time and drive the operation of the digital experiment system.
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Two-dimensional visualization of experimental data
It has a variety of built-in chart controls, supporting real-time display and playback of experimental data.
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3D scene construction and data visualization
It supports building 3D scenes using a modular approach, and also supports displaying and replaying experimental data within 3D scenes.
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Equipment health status monitoring and alarms
Supports customizable alarm rules and multiple alarm modes.