Adaptive Multisensor Data Fusion for Resource Management
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Solution Overview
Problem
Current methods for adaptive multisensor data acquisition and analysis struggle to provide real-time, flexible, and actionable insights for managing distributed resources, especially in dynamic economic and social contexts, due to limitations in data sufficiency and consistency.
Innovation Solution
A system comprising calibrated overflying multisensor detectors, data processing devices, and analysis subsystems that detect and preprocess electromagnetic radiation, determine overflight parameters, and derive actionable aggregants for proactive resource management, with capabilities for iterative data harmonization and external data integration to ensure sufficiency and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If adaptive multisensor data acquisition and analysis is implemented, then actionable insights for managing distributed resources are improved, but data sufficiency and consistency become limiting factors
Solution Approach 1:
The patent combines multiple sensor data sources (remote sensing, ground-based sensors, external databases) into an integrated data fusion system. This merging of diverse data streams ensures sufficient and consistent information for resource management decisions while maintaining the ability to generate actionable insights across different scales and contexts.
Solution Approach 2:
The system implements iterative data harmonization and consistency checking mechanisms that continuously evaluate data quality and request additional data when sufficiency or consistency thresholds are not met. This feedback loop ensures reliable information is obtained before generating management recommendations.
2Loss of time
If real-time data processing and analysis is performed, then response time for resource management is improved, but computational complexity and data processing requirements increase
Solution Approach 1:
The patent divides the data processing system into distributed computing nodes that operate autonomously or semi-autonomously. Each node processes local sensor data and communicates with others, enabling real-time processing without requiring centralized computational complexity. This segmentation allows parallel processing across multiple devices.
Solution Approach 2:
The system performs preliminary data preprocessing, filtering, and validation at the sensor level and local processing nodes before data is aggregated for comprehensive analysis. This preliminary action reduces the computational burden on central systems and enables faster real-time responses by pre-processing data closer to its source.
3Adaptability or versatility
If flexible and adaptive resource management is enabled, then management effectiveness across various scales is improved, but data harmonization and consistency verification become more difficult
Solution Approach 1:
The patent implements a universal data harmonization framework that can handle multiple data types, sensor formats, and spatial-temporal scales through standardized processing protocols. This universal approach enables flexible resource management across different contexts while managing harmonization complexity through consistent methods applicable to diverse data sources.
Solution Approach 2:
The system dynamically adjusts data harmonization strategies based on the specific resource type, spatial scale, and temporal requirements of each management scenario. This dynamic adaptation allows the system to optimize processing complexity for each specific application while maintaining flexibility across various management contexts.
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 near-real-time, flexible, and adaptive management of distributed resources by ensuring data sufficiency and consistency, allowing for proactive decision-making and efficient resource management across various scales.
Implementation Method 1
a 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 system for generation and adaptive implementation of overflying multi sensor measurements and derivation of actionable aggregants pertinent to determination of status and proactive management models of distributed resource. The system includes at least one set of calibrated overflying multisensor detectors arranged for detecting signals from electromagnetic radiation redirected by a plurality of underlying structures having a combination of features having variable scale lengths.