Digital Twin Change Management for Facility Downtime Reduction
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Solution Overview
Problem
Current digital twin systems face challenges in accurately reflecting updates and upgrades of physical assets in their corresponding digital models, leading to complications in data consistency and potential facility downtime due to lack of centralized management and disruption-free propagation of changes.
Innovation Solution
A sustainable digital twin system that models physical assets as 3D virtual models, enabling real-time simulation and analysis of modifications, with integrated artificial intelligence and engines for change management, visualization, and validation, allowing for seamless updates and maintenance without disrupting operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital assets are updated to reflect physical asset changes, then accuracy of digital twin models is improved, but data consistency and system stability deteriorate due to lack of centralized management
Solution Approach 1:
The patent introduces a centralized change management platform as an intermediary system that coordinates all updates to digital twin assets. This platform acts as a mediator between physical asset changes and digital model updates, ensuring that modifications are propagated consistently across the entire digital twin system while maintaining data integrity and preventing inconsistencies.
Solution Approach 2:
The system implements feedback mechanisms where the centralized platform monitors and tracks changes to digital twin assets, validating each modification before propagation. This feedback loop ensures that updates maintain data consistency and accuracy, allowing the system to correct potential issues before they affect overall reliability.
2Measurement precision
If updates are propagated to reflect changes, then accuracy of digital twin models is improved, but facility downtime increases due to disruption
Solution Approach 1:
The centralized change management platform enables preliminary review and validation of updates before they are propagated to the digital twin models. This allows the system to prepare and test changes in advance, ensuring that updates can be applied without disrupting facility operations and minimizing downtime.
Solution Approach 2:
The system maintains continuous operation of the digital twin models by implementing update propagation mechanisms that do not require downtime. The centralized platform coordinates changes in a way that allows the digital twin system to remain operational and accurate simultaneously, ensuring continuous useful action without interruption.
3Reliability
If centralized platform is implemented to manage changes, then data consistency is improved, but system complexity increases
Solution Approach 1:
The centralized change management platform is designed as a multi-functional system that handles multiple tasks including monitoring, validating, coordinating, and propagating changes to digital twin assets. By consolidating these functions into a single universal platform, the system achieves improved data consistency while managing complexity through integration rather than multiplication of separate systems.
Data Source
AI summary
Embodiments of system and method for a sustainable digital twin system, are described. In one aspect, the sustainable digital twin system includes a cooperative working of multiple engines to enable managing virtual assets corresponding to each physical asset in a facility. The sustainable digital twin system may implement a manage of change (MoC) mechanism to track and manage modifications of the virtual assets in the facility. The modifications of the virtual assets may be simulated in a work-in-progress environment. The impact of the modifications of the modified virtual asset and the other virtual assets in the facility may be analyzed. Upon analysis, an end user may review suggestions or recommendations provided by the sustainable digital twin system, update and implement the modifications in the work-in-progress environment, before propagating the modifications to a production environment.