Space-time-node engine signal structure for real-time data processing
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Solution Overview
Problem
Processing and organizing diverse information from multiple sources in real-time is computationally complex and resource-demanding, leading to increased processing time, complexity, and cost, particularly in applications like renewable energy integration and predictive analytics.
Innovation Solution
A space-time-node engine signal structure facilitates efficient information processing by utilizing a special purpose computing environment that processes signals based on spatially, temporally, or nodally-dominant metrics, employing techniques such as signal decomposition, clustering, and linearization to organize information in a space-time-nodal grain (STING) format, enabling faster analysis and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional information processing methods are used to handle diverse information from multiple sources, then information can be processed, but processing time and computational complexity increase significantly
Solution Approach 1:
The patent segments information into discrete space-time-node units with specific attributes (spatial coordinates, temporal stamps, node identifiers, payload data). This segmentation allows the system to process diverse information from multiple sources by breaking it down into standardized, manageable units that can be efficiently stored and queried in memory, directly addressing the processing speed versus complexity contradiction
Solution Approach 2:
The patent introduces a multi-dimensional organizational structure combining space, time, and node dimensions to store and retrieve information. By transforming flat information processing into a multi-dimensional space-time-node framework, the system achieves faster retrieval and analysis of diverse information without proportionally increasing computational complexity
2Measurement precision
If comprehensive information from multiple sources is processed in real-time, then predictive accuracy improves, but resource consumption and processing cost increase
Solution Approach 1:
The patent applies local quality by storing and processing only the specific attributes relevant to each space-time-node (spatial coordinates, temporal stamps, node identifiers, payload) rather than processing all information uniformly. This selective processing approach maintains predictive accuracy for specific queries while reducing overall resource consumption by avoiding unnecessary processing of irrelevant data
Solution Approach 2:
The system performs preliminary organization of information into space-time-node structures with standardized attributes, enabling efficient real-time processing. By pre-organizing diverse information from multiple sources into this standardized format, the system can quickly retrieve and analyze only the necessary information for predictive analytics, improving accuracy without proportionally increasing resource consumption
Data Source
AI summary
Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices or platforms to facilitate or otherwise support one or more processes or operations associated with a space-time-node engine signal structure.