LSM Transport Modeling With Digital Twin Track Simulation
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Solution Overview
Problem
Existing industrial automation systems face challenges in simplifying and improving the model generation for linear synchronous motor (LSM) transport systems, particularly in integrating and contextualizing unstructured industrial data for meaningful presentations.
Innovation Solution
The implementation of basic information data types (BIDTs) and smart objects within industrial devices, along with a gateway device and application server system, enables structured data representation and integration with non-automation models, facilitating the generation of digital twins for LSM transport systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional data integration methods are used for LSM transport systems, then data can be collected and stored, but the data remains unstructured and difficult to contextualize for meaningful presentations
Solution Approach 1:
The patent segments industrial data into structured basic information data types (BIDTs) with defined schemas, separating data collection, storage, and presentation layers. This segmentation allows unstructured data to be organized into contextualized components without overwhelming system complexity.
Solution Approach 2:
The patent introduces BIDTs as an intermediary layer between raw industrial data and application presentations. These standardized data types act as mediators that contextualize unstructured data while providing a systematic framework that reduces overall model generation complexity.
2Productivity
If comprehensive data integration is implemented for LSM transport systems, then operational efficiency can be enhanced, but the complexity of integrating and presenting contextualized data increases
Solution Approach 1:
The patent creates universal BIDTs that serve multiple functions: data collection, validation, contextualization, and presentation. This multi-functionality allows comprehensive data integration to enhance operational efficiency while the standardized universal structures prevent integration complexity from escalating.
Solution Approach 2:
The patent transforms raw industrial data parameters into standardized BIDT parameters with defined schemas, data types, and validation rules. This parameter transformation enables comprehensive data integration for operational efficiency while the standardized parameter structures maintain manageable integration complexity.
3Manufacturing precision
If detailed modeling of LSM transport systems is performed, then simulation and testing accuracy improve, but the time and resources required for model generation increase
Solution Approach 1:
The patent establishes BIDT schemas, validation rules, and data structures in advance before actual LSM transport system modeling begins. This preliminary action creates a ready framework that enables accurate detailed modeling without requiring time-consuming ad-hoc data structure development during the modeling process.
Solution Approach 2:
The patent transforms detailed system parameters into standardized BIDT parameters with predefined schemas. This parameter standardization maintains high model accuracy for simulation and testing while reducing the time and resources needed for model generation through reusable standardized structures.
Data Source
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AI summary
A track design and testing system is capable of modeling a linear synchronous motor (LSM) transport system in accordance with user design input that selects and assembles virtualized track components and stations. The system can simulate the resulting object-driven model to predict performance metrics or identify an optimal set of track design parameters that satisfy user-defined design criteria. The system can also translate the design parameters encoded in the model into an executable controller code that can be executed on an industrial controller to monitor and control the physical transport system.