Cloud Digital Twin for Audio Video Control System Testing
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Solution Overview
Problem
Conventional AVC systems are complex, time-consuming, and costly to design, set up, and test, requiring significant upfront investments in physical devices and involving labor-intensive processes.
Innovation Solution
A cloud-based AVC system utilizing digital twins and virtual devices for prototyping, testing, and deployment, allowing for virtual setup and refinement before investing in physical devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical devices are purchased and deployed for AVC system design and testing, then system functionality can be validated, but upfront costs and time consumption increase significantly
Solution Approach 1:
The patent creates virtual copies of physical AVC devices called 'digital twins' that replicate the functionality, configuration, and behavior of physical devices. These digital twins allow complete system simulation and testing in a virtual environment, eliminating the need for physical hardware during the design and testing phases. The digital twin platform maintains accurate representations of devices including audio processors, video processors, control systems, and peripherals, enabling full system validation without physical deployment.
Solution Approach 2:
The system performs all design, configuration, and testing actions preliminarily in the virtual domain before physical deployment. The digital twin environment allows iterative development, scenario simulation, and system validation to be completed in advance, so that when physical devices are deployed, they can be configured and tested rapidly without requiring lengthy on-site setup and validation periods.
2Reliability
If physical devices are purchased for AVC system deployment, then system functionality is ensured, but upfront costs increase
Solution Approach 1:
The digital twin platform creates virtual representations of physical AVC devices that can be instantiated without physical hardware. These virtual devices replicate all functional capabilities including audio processing, video processing, control functions, and device-to-device communication. The system can simulate complex multi-device configurations and system interactions entirely in the virtual domain, eliminating the need to purchase physical devices for design, testing, and validation activities.
Solution Approach 2:
The system uses inexpensive virtual device instances that can be created, modified, and discarded without physical constraints. These digital twins can be rapidly instantiated and configured for specific testing scenarios, then destroyed or modified as needed, eliminating the cost of purchasing, shipping, installing, and disposing of physical hardware for each testing iteration.
3Reliability
If physical devices are used for AVC system testing, then real-world performance can be evaluated, but system complexity and setup requirements increase
Solution Approach 1:
The digital twin platform creates accurate virtual copies of physical AVC devices and their interconnections that replicate real-world system behavior. These virtual representations include detailed models of audio devices, video devices, control systems, and their signal routing, allowing comprehensive performance evaluation in a simplified virtual environment that mirrors physical system complexity without requiring actual physical connections and hardware.
Solution Approach 2:
The digital twin platform acts as an intermediary layer between theoretical system design and physical deployment. It provides a virtual environment where system configurations, scenarios, and performance requirements can be tested and validated before physical implementation, simplifying the overall process by separating the complexity of physical hardware setup from the design and testing activities.
Data Source
AI summary
A method of utilizing digital twins in a cloud-based audio, video, and control (AVC) system may include defining a device configuration of a physical device of the AVC system, creating a digital twin of the physical device based on the device configuration, synchronizing the digital twin to the physical device such that the digital twin receives, and stores device information associated with the physical device, analyzing the device information stored by the digital twin to identify if the physical device is performing satisfactorily, and presenting an output from the web application indicative of the performance of the physical device.