Self-Forming Communication Control for Digital Twin Lighting Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital twin computing systems face challenges in efficiently managing and securely transferring data across various computing entities, particularly in environments with dynamic and interconnected objects, leading to inefficiencies in data management and control.
Innovation Solution
A self-forming communication and control system utilizing blockchain-encoded records to securely manage and transfer data, where only trusted devices can modify or pass control over tokens, and a digital twin environment processes data to provide real-time monitoring and prescriptive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital mapping and monitoring techniques are used to build digital representations, then real-time monitoring capability is improved, but data management complexity and security risks increase
Solution Approach 1:
The patent introduces a mesh network of computing entities as intermediaries between physical objects and the digital twin environment. Each computing entity in the mesh network locally processes and manages data from associated objects, acting as a decentralized intermediary that reduces the burden on centralised data management systems while maintaining real-time monitoring capabilities.
Solution Approach 2:
The system segments data management responsibilities across multiple autonomous computing entities in a mesh network structure. Each computing entity independently manages its associated objects and data, dividing the overall data management complexity into smaller, manageable units that can operate semi-autonomously, thereby reducing the complexity burden on any single component.
2Loss of information
If digital twin environments process all data, then comprehensive monitoring is achieved, but processing time and energy consumption increase
Solution Approach 1:
The patent implements partial processing at the digital twin environment level, where only aggregated insights, anomalies, and critical data are processed centrally, while routine monitoring and preliminary data processing are handled locally by computing entities in the mesh network. This selective approach maintains comprehensive monitoring coverage while significantly reducing the time and computational resources required at the central digital twin environment.
3Speed
If continuous processing in digital twin environment is used, then real-time control is improved, but energy consumption and system load increase
Solution Approach 1:
The system implements periodic aggregation and selective transmission of data from the mesh network to the digital twin environment, rather than continuous processing. Computing entities in the mesh network perform local processing and only transmit relevant updates or anomaly detections to the digital twin environment, maintaining real-time control responsiveness while reducing overall energy consumption and system load through intermittent centralized processing.
Data Source
AI summary
A method for execution by a computer includes detecting a set of 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 as-is configuration information for the set of detected lighting objects, where the as-is configuration information includes spatial placement information of at least some of the set of detected lighting objects.