Multi-Sensor Geological Analysis for Cross-Sample Data Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for analyzing geological samples focus on individual features at a time, lacking systems for efficient and rapid analysis of multiple geological samples and data processing.
Innovation Solution
A multi-sensor geological analysis system with adjustable operating parameters, comprising a plurality of sensors that can be fully or semi-automatically controlled to capture and store data, enabling iterative analyses and correlation of data across multiple samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to analyze geological samples, then measurement precision and data completeness improve, but device complexity increases
Solution Approach 1:
The system segments the geological analysis task into multiple independent sensor measurements, each capturing different physical attributes (magnetic, gravitational, spectral, etc.). This segmentation allows comprehensive data collection while maintaining modular sensor components that can be independently managed and processed.
Solution Approach 2:
The controller serves as a universal coordinating unit that manages multiple different sensor types, standardized data interfaces, and integrated processing functions. This multi-functionality reduces overall system complexity by providing a central intelligence that handles diverse sensor inputs through unified protocols and algorithms.
2Productivity
If iterative analyses of multiple samples are performed, then productivity improves, but loss of time increases
Solution Approach 1:
The system performs preliminary automated setup and configuration for each iterative analysis based on previous results. The controller automatically adjusts sensor parameters, sample positioning, and analysis protocols based on learned patterns from prior measurements, eliminating manual reconfiguration time while maintaining comprehensive analysis quality.
Solution Approach 2:
The iterative analysis process maintains continuous operation without idle transitions between samples. The system seamlessly transitions from one sample analysis to the next, with the controller coordinating sensor activation, data collection, and preliminary processing in an unbroken workflow, maximizing productive utilization of all sensor components throughout the iterative process.
Data Source
AI summary
Systems, methods and devices for improved analysis of geological samples through the coordinated use of multiple sensors. Among other advantages, the invention offers significant advances in the accuracy, ease, and speed with which substances found in single samples, and/or across multiple samples, can be identified, mapped, and otherwise analyzed.