Digital Twin Configuration for Energy-Aware Resource Allocation
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Solution Overview
Problem
Existing digital twin systems face challenges in optimizing energy consumption, particularly in power-scarce environments, due to strict latency constraints and resource contention among multiple digital twins, leading to increased energy consumption and limited scalability.
Innovation Solution
A controller optimizes digital twin configurations by jointly managing radio and computing resource allocation, considering the delay budget of each twin, using a common model to adjust configurations such as sensor data rates, computing core allocations, and modulation coding schemes to minimize energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital twin systems are deployed at larger scale, then system coverage and utility are improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the operational state of digital twins based on real-time conditions. Digital twins are activated or deactivated depending on whether their physical counterparts are currently operational, ensuring that computational resources are only consumed when necessary to provide accurate digital representations.
Solution Approach 2:
The system changes the operational parameters of digital twins by adjusting their activation states. When a physical counterpart transitions between operational and non-operational states, the corresponding digital twin's activation parameter is changed accordingly, optimizing energy consumption while maintaining system accuracy.
2Measurement precision
If digital twins are continuously activated to maintain accuracy, then representation accuracy is improved, but power consumption increases
Solution Approach 1:
Instead of continuous operation, digital twins are activated periodically based on the operational status of their physical counterparts. The system uses event-driven activation where digital twins are only updated and processed when their physical counterparts are actually operating, creating a periodic rather than continuous operational pattern that reduces power consumption while maintaining accuracy during active periods.
Solution Approach 2:
The system automatically determines when digital twins should be activated or deactivated based on the operational state of their physical counterparts without requiring manual intervention. This self-service mechanism ensures that digital twins maintain accuracy by being active when needed while automatically conserving energy when their physical counterparts are not operational.
3Adaptability or versatility
If more digital twins are deployed to cover more physical counterparts, then system versatility is improved, but resource utilization efficiency decreases
Solution Approach 1:
The system dynamically manages the portfolio of digital twins based on the actual operational status of physical counterparts. Rather than maintaining a static set of always-active digital twins, the system adaptively activates and deactivates digital twins to match the dynamic nature of industrial equipment, improving resource utilization efficiency while maintaining system versatility.
Solution Approach 2:
The system applies different operational characteristics to different digital twins based on their specific physical counterparts' operational patterns. Each digital twin's activation state is independently controlled according to its corresponding physical equipment's actual usage, allowing the system to maintain versatility across multiple counterparts while optimizing resource allocation locally for each twin.
Data Source
AI summary
A computer-implemented method for optimizing energy consumption of a digital twin system. A plurality of input metrics are received for each of a plurality of digital twins implemented in the digital twin system, the input metrics including sensor data from a plurality of corresponding physical counterparts of the digital twins. An updated configuration is determined for each of the plurality of digital twins based on context information of the digital twins, each updated configuration including at least one of an updated radio configuration, computing configuration, and digital twin configuration that reduces a power consumption of the digital twin system. Each updated configuration is provided to at least one of a radio application programming interface (API), computing API, and digital twin configuration API.