Virtual Lift Digital Twin for Configuration and Maintenance Visualization
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Solution Overview
Problem
Current lift device technologies lack effective digital representation and predictive modeling, making it difficult for users to visualize and manage lift device configurations, upgrades, and maintenance needs in a unified and interactive manner.
Innovation Solution
A system that generates a digital twin of a lift device using machine-specific data and user inputs, allowing for a virtual representation in a webpage or augmented reality environment, complete with predictive models and overlayable upgrade options, enabling users to interactively inspect and manage lift device configurations and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a digital twin system is implemented to provide visual representation and predictive modeling of lift devices, then user ability to visualize and manage configurations is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent creates a digital twin which is a virtual copy of the physical lift device. This digital replica contains all configuration data, operational parameters, and maintenance information, allowing users to visualize and interact with the device digitally without increasing physical system complexity. The copying principle enables complete information representation while keeping the physical device unchanged.
Solution Approach 2:
The patent transitions from two-dimensional manual manuals or specifications to a three-dimensional interactive digital twin. This dimensional change allows users to view the lift device from multiple angles, explore components in spatial context, and interact with the configuration in an immersive environment, significantly improving visualization without adding physical complexity.
2Productivity
If predictive models are integrated into the digital twin to forecast performance and maintenance needs, then operational efficiency is improved, but computational requirements and processing time increase
Solution Approach 1:
The patent implements predictive models that perform preliminary analysis of device performance and maintenance needs before actual issues occur. By continuously analyzing operational data and forecasting potential problems, the system enables proactive maintenance scheduling and performance optimization, improving operational efficiency without requiring time-consuming reactive repairs.
Solution Approach 2:
The digital twin system continuously receives feedback from sensors on the physical lift device and uses this data to update predictive models in real-time. This closed-loop feedback mechanism allows the system to learn from actual performance data, refine predictions, and provide increasingly accurate forecasts, improving operational efficiency while maintaining reasonable processing times through iterative optimization.
3Reliability
If the system provides comprehensive configuration management and maintenance tracking through digital twin, then decision-making quality is improved, but information processing and storage requirements increase
Solution Approach 1:
The patent segments the digital twin data into distinct modules including configuration data, operational parameters, maintenance records, and predictive analytics. This segmentation allows the system to store and process only relevant data for each function, reducing overall storage requirements while maintaining comprehensive configuration management and maintenance tracking capabilities for improved decision-making.
Data Source
AI summary
A system for digital twinning a lift device includes a lift device, and processing circuitry. The lift device includes at least one of a sensor, a device, or an electronic control system. The processing circuitry is configured to obtain machine-specific data from the at least one of the sensor, device, or the electronic control system of the lift device. The processing circuitry is also configured to obtain a user input regarding a requested configuration of the lift device. The processing circuitry is further configured to generate a virtual lift device using the requested configuration of the lift device and the machine-specific data obtained from the lift device. The processing circuitry is further configured to operate a user device to present the virtual lift device according to the requested configuration in a virtual environment of a webpage or in an augmented reality environment.