Digital Twin Lighting Control via Blockchain Asset Records
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Solution Overview
Problem
Existing digital twin computing systems face challenges in efficiently managing and securing data transmission and control across interconnected devices, particularly in environments where real-world objects are represented digitally, with a lack of secure and efficient methods for asset lifecycle management and data integrity.
Innovation Solution
A self-forming communication and control system utilizing blockchain-encoded records to securely manage assets and data, ensuring only trusted devices can modify or transfer control, and integrating AI for real-time monitoring and adaptive control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital twin computing systems are used to represent real-world objects, then data transmission and control across interconnected devices can be achieved, but data security and integrity during transmission and control remain compromised
Solution Approach 1:
The patent introduces a blockchain network as an intermediary layer between digital twin environments and interconnected devices. This blockchain intermediary securely manages data transmission and control by providing decentralized verification and immutable recording of transactions, thereby ensuring data integrity without requiring complex point-to-point security implementations across all devices.
Solution Approach 2:
The patent creates a digital copy of asset lifecycle records on the blockchain that mirrors the state changes of physical assets represented in digital twin environments. This blockchain copy serves as a trusted verification layer that validates data integrity without requiring the original digital twin system to implement complex security protocols, thus improving reliability while managing complexity.
2Reliability
If secure data transmission methods are implemented across interconnected devices, then data security is improved, but transmission efficiency and control speed deteriorate
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the blockchain network infrastructure and smart contract frameworks before actual digital twin operations begin. Asset lifecycle records are structured in advance with predefined verification rules, allowing rapid transaction processing during operation without real-time security negotiation overhead, thus maintaining both security and speed.
Solution Approach 2:
The patent segments security verification into discrete blockchain transactions that can be processed independently and in parallel. By dividing the security verification process into small, standardized units (individual asset lifecycle events), the system achieves high-speed processing through parallel block validation while maintaining comprehensive security coverage across all interconnected devices.
3Measurement precision
If continuous processing in digital twin environment is performed for real-time monitoring, then monitoring accuracy is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent introduces the blockchain network as an intermediary that handles the computationally intensive tasks of verifying and recording asset lifecycle events. Instead of continuous processing within the digital twin environment, the blockchain intermediary periodically validates and immutably records state changes, thereby maintaining monitoring accuracy while significantly reducing the energy consumption and processing load on the digital twin system itself.
Solution Approach 2:
The patent implements periodic action by having the blockchain network validate and record asset lifecycle events at structured intervals rather than requiring continuous real-time processing. This periodic verification approach maintains sufficient monitoring accuracy for most applications while dramatically reducing the computational burden and energy consumption compared to continuous processing, allowing the digital twin environment to operate more efficiently.
Data Source
AI summary
A method for execution by a computer includes detecting lighting objects of an environment based on at least one of environment signaling of the environment and premise messages exchanged with another computer to produce a set of detected lighting objects. The method further includes generating processor-executable instructions for use by the computer to subsequently monitor at least one of further environment signaling and further premise messages associated with the set of detected lighting objects. The method further includes storing object monitor information for the set of detected lighting objects within a digital twin memory by applying the processor-executable instructions. The method further includes interpreting a portion of the object monitor information to produce should-be configuration information for the set of detected lighting objects that includes recommended spatial placement information of at least some of the set of detected lighting objects to facilitate achievement of an environment lighting requirement.