Role-Specific Digital Twins for Industrial Process Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial environments face challenges in effectively utilizing vast amounts of data from IoT sensors, such as vibration data, to improve operations and maintenance, due to complexity and the need for role-specific insights that current digital twin technologies cannot adequately provide.
Innovation Solution
An enterprise management platform with role-specific executive digital twins that integrate AI-enabled features and enhanced collaboration, enabling executives to monitor and control industrial plant operations through a converged technology stack for intelligent sensing, data collection, and real-time data handling, configuring presentation layers and data structures to provide relevant insights to various roles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital twin technology is used to monitor industrial operations, then real-time visibility and control are improved, but the system cannot provide role-specific insights and becomes overwhelmed by data complexity
Solution Approach 1:
The patent segments the digital twin system into role-specific digital twins, where each digital twin is tailored to a particular organizational role (e.g., operator, maintenance manager, executive). This segmentation allows each digital twin to present only the relevant data and insights for that specific role, reducing information overload and complexity while maintaining comprehensive monitoring capabilities across the organization.
2Loss of information
If all sensor data is collected and processed, then complete operational awareness is achieved, but the inability to filter and present relevant information reduces decision-making effectiveness
Solution Approach 1:
The patent applies local quality by customizing the information presentation for each role-specific digital twin. Each digital twin selectively displays data, metrics, and insights that are locally relevant to that particular role's responsibilities and decision-making needs. For example, an operator's digital twin emphasizes equipment status and operational parameters, while an executive's digital twin focuses on high-level performance metrics and trends, thereby making decision-making easier for each user without losing overall information completeness.
3Adaptability or versatility
If role-specific digital twins are implemented, then information relevance and decision-making effectiveness are improved, but data collection and processing complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring role-specific digital twins with predetermined data filters, visualizations, and alert thresholds tailored to each role's needs. During deployment, the system pre-processes and organizes sensor data according to role-specific requirements, so that when users access their digital twins, the relevant information is already prepared and presented in an optimized format. This preliminary preparation reduces the complexity of real-time data processing while maintaining high adaptability to different roles.
Data Source
AI summary
Methods generally including interpreting 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; analyzing a subset of the plurality of detection values and the state value, using at least one of a neural net or an expert system, and providing an adjustment recommendation for the industrial production process, the adjustment recommendation, at least in part, in response to a sensitivity of at least one of the plurality of input channels relative to the state value; adjusting the industrial production process in response to the adjustment recommendation; determining a relevance of the adjustment recommendation to at least one role type stored within a role taxonomy; and reporting the adjustment to the industrial production process to at least one entity associated with the role type stored within the role taxonomy.