Adaptive Multisensor Analysis for Resource Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for managing distributed resources lack flexibility and real-time adaptability in data acquisition and analysis, particularly in geographically extensive areas, limiting their ability to respond effectively to dynamic economic and social changes.
Innovation Solution
A system comprising calibrated multisensor detectors, data processing devices, and analysis subsystems for generating and implementing overflying multi-sensor measurements, enabling adaptive data acquisition and derivation of actionable insights for proactive resource management, incorporating flexible data generation, processing, and economic modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional resource management methods are used, then system simplicity is maintained, but real-time adaptability and flexibility in data acquisition are insufficient
Solution Approach 1:
The system implements dynamic adaptability through real-time adjustment of data acquisition parameters, sensor selection, and analysis methods based on changing resource conditions. The management system transitions from static to dynamic operation, continuously adapting to new data and conditions without requiring complete system redesign.
Solution Approach 2:
The patent creates a universal resource management system that can handle multiple resource types (water, energy, agricultural resources) and multiple data sources (satellite imagery, ground sensors, historical data) through a single integrated platform, reducing the need for separate specialized systems.
2Measurement precision
If comprehensive multi-sensor data acquisition is implemented, then measurement precision and data quality improve, but data processing complexity and time requirements increase
Solution Approach 1:
The system performs preliminary processing of multi-sensor data including calibration, alignment, and initial analysis before full integration. Data from various sensors is pre-processed and validated in advance, reducing the time required for final synthesis and decision-making.
Solution Approach 2:
The data processing system is divided into modular segments that handle different sensor types and data formats independently. This segmentation allows parallel processing of multiple data streams simultaneously, reducing overall processing time while maintaining comprehensive data quality.
3Manufacturing precision
If extensive geographically-distinguishable databases are analyzed, then resource management accuracy improves, but computational requirements and system complexity increase
Solution Approach 1:
The system applies local quality analysis by focusing computational resources on geographically specific areas where resource management decisions are needed. Rather than uniformly processing entire databases, the system identifies and prioritizes locally relevant data subsets based on spatial distinctions and management needs.
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 nearly real-time, proactive management of distributed resources by providing actionable insights and dynamic response to changes, enhancing decision-making across various scales from local to global levels.
Implementation Method 1
providing contiguous high spatial resolution mapping of surface features including ground, water, man-made objects, vegetation and submerged surfaces from an aircraft or a spacecraft
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
The present invention is directed to a seif 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 modeis 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, the at least one detector from the set of calibrated overflying multisensor detectors comprises at least one imaging LIDAR with at least one directional scanner, and the at least one directional scanner includes at least one point ahead correction system.