Role-Based Digital Twins for Industrial AI Adjustment Guidance
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Solution Overview
Problem
Industrial environments face challenges in effectively utilizing vast amounts of data from IoT sensors, such as vibration sensors, to improve operations and maintenance, due to complexity and the need for role-specific insights that current digital twin technologies cannot fully address.
Innovation Solution
An enterprise management platform with executive digital twins and role-based digital twins that integrate AI-enabled features and enhanced collaboration, providing real-time data curation and visualization tailored to specific roles within an organization, enabling executives to monitor and control industrial plant operations effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital twin technology is used to visualize industrial data, then operational awareness is improved, but the system cannot provide role-specific insights and remains too generic for effective decision-making
Solution Approach 1:
The patent segments the generic digital twin into multiple role-specific digital twins, each tailored to specific organizational roles (executive, advisory, operations). This segmentation allows each role to receive customized insights and visualizations relevant to their specific decision-making needs, thereby improving information relevance without overwhelming users with unnecessary data.
Solution Approach 2:
The patent applies local quality by providing different levels of data granularity and customization based on user roles. Executive digital twins provide high-level strategic insights, while operations digital twins provide detailed operational data. This ensures that each user receives information with the appropriate level of detail and relevance for their specific function.
2Reliability
If comprehensive data from all IoT sensors is collected and analyzed, then operational insights are improved, but system complexity increases significantly
Solution Approach 1:
The patent extracts and isolates only the most relevant data and AI capabilities needed for each specific role, rather than presenting all available sensor data to all users. This extraction approach reduces system complexity by filtering out unnecessary data while maintaining reliable operational insights for each role-specific digital twin.
Solution Approach 2:
The patent adds a role-based dimension to data presentation, organizing comprehensive sensor data into role-specific views. This dimensional organization allows the system to handle complex multi-source data while presenting simplified, role-appropriate information, thereby managing system complexity through structured information architecture.
3Speed
If real-time data processing is implemented for all operations, then operational control is improved, but computational resource consumption increases
Solution Approach 1:
The patent implements partial real-time processing by providing full real-time data processing only for operations-level digital twins where immediate control is critical, while executive and advisory digital twins use near-real-time or periodically updated data. This selective approach maintains operational control responsiveness for critical functions while reducing overall computational resource consumption.
Data Source
AI summary
Data storage structured to store a plurality of detection values relating to aspects of an industrial production process and data relating to at least one role type stored within a role taxonomy; a data analysis circuit structured to interpret at least a subset of the plurality of detection values to determine a state value comprising at least one of a process state or a component state; an optimization circuit structured to analyze a subset of the plurality of detection values and the state value using at least one of a neural net or an expert system to determine a signal effectiveness of at least one of the plurality of input channels relative to the state value, and to provide an adjustment recommendation based, at least in part, on the signal effectiveness; and an analysis response circuit structured to adjust the industrial production process in response to the adjustment recommendation.