Adaptive Multisensor Data Aggregation for Resource Management
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Solution Overview
Problem
Current methods for adaptive multisensor data acquisition and analysis are limited in their ability to dynamically respond to changing economic and social needs, particularly in determining the status and proactive management of distributed resources across geographic areas, as they lack flexibility and real-time capabilities.
Innovation Solution
A self-consistent method involving calibrated overflying multisensor detectors that collect and process electromagnetic radiation data, integrating it with scientific knowledge to derive actionable conclusions, which are then used to construct economic models and manage resources effectively, with iterative data sufficiency and consistency checks to ensure accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional multisensor data acquisition methods are used, then data collection is performed, but the system lacks flexibility and real-time response capability to changing economic and social needs
Solution Approach 1:
The patent implements dynamic adaptability by enabling the multisensor system to continuously adjust its data acquisition and analysis parameters in real-time based on changing economic and social conditions. The system transitions from static pre-programmed operations to dynamic responsive operations where sensor selection, measurement parameters, and analysis methods are automatically adjusted according to current needs, thereby achieving flexibility without proportionally increasing system complexity
Solution Approach 2:
The system incorporates feedback mechanisms where analysis results and determination outcomes are fed back into the data acquisition process. This closed-loop feedback enables the system to learn from previous operations and automatically adjust future data collection strategies, improving adaptability while utilizing existing system components rather than adding substantial complexity
2Measurement precision
If comprehensive multisensor measurements are conducted to ensure data sufficiency, then accuracy of resource status determination is improved, but data processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by selectively acquiring and processing only the necessary subset of sensor data required for specific determinations rather than processing all available sensor data uniformly. The system identifies and focuses on critical data elements needed for resource status determination, achieving accurate results while minimizing unnecessary processing time and computational overhead
Solution Approach 2:
The data processing is segmented into hierarchical levels where different types of determinations require different levels of data analysis. The system divides the comprehensive data set into manageable segments that can be processed in parallel or sequentially based on priority, reducing overall processing time while maintaining the accuracy needed for each specific determination type
3Reliability
If iterative data sufficiency checks and consistency verification are performed, then reliability of aggregants is improved, but the number of processing steps and time required increase
Solution Approach 1:
The system performs preliminary data validation and consistency checks during the data acquisition phase rather than waiting until the end of processing. By pre-validating data quality and identifying sufficient data sets early in the process, the system reduces the need for extensive iterative checking later, thereby improving reliability while maintaining processing efficiency
Solution Approach 2:
The multisensor system incorporates self-verification capabilities where the system automatically assesses its own data sufficiency and consistency without requiring extensive external validation. The embedded algorithms autonomously perform reliability checks and adjust processing accordingly, improving reliability through self-correction while minimizing the overhead of manual or external verification steps
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables flexible and proactive management of distributed resources by providing actionable insights and economic models that adapt to changing conditions, enhancing decision-making and resource management across various scales, from local to global.
Implementation Method 1
providing at least one set of calibrated overflying multisensor detectors arranged for detecting signals from electromagnetic radiation redirected by a plurality of underlying structures
Data Source
AI summary
The present invention is directed to a self consistent method for adaptive implementation of overflying multi sensor measurements and derivation of conclusions and determinations “agregants”, derived and/or developed from the measured results and/or resulting from science-based processing design to integrate and process the measured results and other data and scientific knowledge. Furthermore, the aggregants may be pertinent to determination of status and proactive management models of the at least one distributed resource by a single or repeatable implementation of one or several steps.