Digital Twin VR Product Evaluation Using IoT Sensor Comparison
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Solution Overview
Problem
Consumers face challenges in assessing product compatibility and performance before purchase, as traditional evaluation methods provide only a short assessment window, limiting the ability to fully understand how a product will perform in a physical environment.
Innovation Solution
Utilizing a digital twin in a virtual reality environment, combined with Internet of Things sensors, to collect biometric and environmental data during interactions with products in both physical and virtual settings, allowing for the estimation of product performance in a physical environment through data analysis and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional product evaluation methods are used, then the assessment process is simple, but the assessment window is short and cannot provide sufficient information about product performance
Solution Approach 1:
The system performs preliminary product evaluation in a virtual environment before physical purchase or installation. Users can interact with virtual products in VR settings to assess compatibility and performance characteristics ahead of time, eliminating the need for lengthy physical trial periods while gathering comprehensive performance data.
Solution Approach 2:
The patent creates virtual copies of physical products that replicate their functionality and characteristics. These digital twins allow users to evaluate product performance, compatibility, and suitability in various scenarios without requiring physical presence, thereby extending the assessment window indefinitely while maintaining evaluation accuracy.
2Measurement precision
If physical product installation is required for evaluation, then accurate performance data is obtained, but the complexity and time required increases significantly
Solution Approach 1:
The system replaces physical mechanical interaction with virtual reality-based interaction. Instead of physically installing and testing products in the real world, users interact with virtual representations in a VR environment. Biometric sensors capture physiological responses during virtual interaction, providing performance measurement data without requiring physical product installation or complex physical testing setups.
Solution Approach 2:
The patent introduces a virtual reality environment as an intermediary between the user and the physical product. This VR intermediary allows indirect evaluation of product characteristics by observing user biometric responses during virtual interaction, thereby obtaining performance data without direct physical contact or installation of the actual product.
3Loss of information
If virtual reality environment is used for product assessment, then the assessment window is extended and more data is collected, but the system complexity increases
Solution Approach 1:
The virtual reality system serves multiple functions simultaneously: it provides product visualization, enables interaction testing, captures biometric data through integrated sensors, and processes information to generate compatibility assessments. By consolidating these diverse functions into a single VR platform, the system manages complexity while maximizing the information gathered about product compatibility and user response.
Data Source
AI summary
Disclosed embodiments provide improvements in this technical field by utilizing a digital twin (DT) in a virtual reality (VR) environment. A digital twin is created of a product to be assessed in a normal setting (e.g. an automobile on a highway, an appliance in a kitchen, etc). The individual then uses the product in the digital twin virtual reality environment (DTVRE). During interaction, positive and negative experiences are tagged for later evaluation. Additionally, a person's activities with similar products in a physical environment are monitored using IoT (Internet of Things) sensors. During interactions, sensor data is collected. Embodiments compare the sensor data acquired in the physical environment (PE) and the digital twin virtual reality environment (DTVRE). For the product being used in the digital twin virtual reality environment (DTVRE), embodiments estimate, using the collected data, how the product will perform in a physical environment (PE).