Digital Twin Asset Data Layout Integration
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Solution Overview
Problem
Current asset and data management systems in the automotive and manufacturing industries face challenges in managing data and asset updates, particularly in predicting and controlling events such as equipment changes, which leads to inefficiencies and increased complexity in supply chains and quality control, resulting in potential product recalls and liability issues.
Innovation Solution
A data management system that integrates asset and data layouts using a cyber-physical approach, enabling interactive searching and event notification to manage data catalogs and asset layouts at equipment, line, and operation levels, synchronizing digital twins for real-time data management and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standardized OEM platform is used to lower costs and increase flexibility, then manufacturing cost is reduced and flexibility is improved, but supply chain complexity and quality control difficulty increase
Solution Approach 1:
The patent segments the asset management system into multiple hierarchical levels (global asset catalog, asset-specific data catalogs, and event-specific data catalogs). This segmentation allows standardized platforms to be managed through modular data structures, reducing supply chain complexity while maintaining manufacturing efficiency and cost benefits.
2Ease of operation
If data is transformed into data mart for application utilization, then data accessibility for applications is improved, but data traceability and understanding of data origin are lost
Solution Approach 1:
The patent implements feedback mechanisms where data catalogs maintain bidirectional relationships with asset layouts and event notifications. This feedback loop ensures that while data is transformed for application use, traceability information flows back through the system, allowing users to understand data origins and maintaining data lineage throughout the transformation process.
3Productivity
If predictive model is used to modify data ingestion, then data ingestion efficiency is improved, but ability to manage and predict actual equipment events is reduced
Solution Approach 1:
The patent employs dynamic data catalogs that adapt their structure and content based on detected events from equipment. Rather than relying solely on static predictive models, the system dynamically modifies data ingestion patterns in response to actual events, maintaining both efficiency and accurate event prediction capability through real-time adaptation.
Data Source
AI summary
Example implementations described herein disclose an asset and data management method on digital twin that provides an integration method between asset layouts and data layouts. Using the integrated layout, the example implementations described herein provide understanding a relationship between asset and data to improve the asset utilization/efficient (e.g. manufacturing efficient) for increasing revenue.