Drone-Mounted Spectrometer for Subsurface Ore Detection
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Solution Overview
Problem
Current methods for locating subsurface ore bodies are labor-intensive, prone to human error, and inefficient, as they rely on surface sampling and laborious laboratory analysis, which can lead to contamination and delayed results, especially in areas with thick overburden or high iron content, making it difficult to detect hydromorphic anomalies indicative of buried mineralization.
Innovation Solution
A method and system for collecting and analyzing near-surface dust samples using a sampling probe and dust collection module that captures fine particles (micron or submicron size) from a predetermined geographical area, storing them in a contamination-free environment, and using Inductively Coupled Plasma Mass Spectrometric (ICP-MS) techniques to detect hydromorphic anomalies, allowing for rapid and accurate identification of subsurface ore bodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional soil sampling methods are used, then samples can be collected from various locations, but the process becomes labor-intensive and time-consuming with significant potential for human error
Solution Approach 1:
The patent replaces manual mechanical sampling with an automated optical detection system using a drone-mounted spectrometer. The system uses optical sensors to detect hydromorphic anomalies in soil without physical contact, eliminating the need for manual sample collection, transportation, and laboratory analysis. This substitution of mechanical sampling with optical detection directly resolves the contradiction by dramatically improving productivity while reducing time loss.
Solution Approach 2:
The system performs self-service by integrating the spectrometer, sample collection mechanism, and analysis capabilities into a single autonomous drone unit. The drone automatically navigates to sampling locations, collects soil samples, analyzes them onboard using the spectrometer, and returns results without requiring external laboratory facilities or manual processing. This self-service capability eliminates time delays associated with sample transportation and external analysis.
2Measurement precision
If soil samples are collected and transported to laboratory for analysis, then detailed chemical analysis can be performed, but the process is expensive and prone to contamination
Solution Approach 1:
The patent introduces an intermediary device - a portable spectrometer mounted on a drone - that performs analysis in the field before samples reach the laboratory. This intermediary analysis capability allows for preliminary detection of hydromorphic anomalies without requiring samples to be transported to external laboratories, thereby eliminating contamination risks associated with transportation and handling while maintaining detection accuracy through sophisticated spectral analysis.
Solution Approach 2:
The system replaces traditional mechanical sampling and transportation processes with optical detection methods. The spectrometer uses electromagnetic radiation to analyze soil composition non-invasively, detecting hydromorphic anomalies through spectral signatures without physically disturbing or transporting samples. This substitution eliminates contamination risks inherent in manual sampling and transportation while maintaining high measurement precision.
3Measurement precision
If analysis is performed using traditional laboratory techniques, then comprehensive element quantitation can be achieved, but the process takes several days or weeks to complete
Solution Approach 1:
The system performs self-service analysis by integrating a spectrometer directly on the drone, enabling immediate field analysis of soil samples. The instrument analyzes samples onboard and provides results in real-time or near-real-time, eliminating the weeks-long delay associated with traditional laboratory analysis. This self-service capability maintains measurement precision through sophisticated spectral analysis while dramatically reducing turnaround time.
Solution Approach 2:
The system performs preliminary analysis in the field before samples would normally be sent to the laboratory. The spectrometer conducts initial detection of hydromorphic anomalies on-site, providing rapid results that guide subsequent exploration decisions. This preliminary action eliminates the need for lengthy laboratory analysis in many cases, as the field instrument can identify anomalies quickly and direct further investigative efforts to specific locations.
4Adaptability or versatility
If surface sampling is conducted to identify ore bodies, then exploration can be performed, but detection acuity is reduced in areas with thick overburden or high iron content
Solution Approach 1:
The system performs self-service analysis by integrating advanced spectral detection capabilities directly on the drone, enabling it to penetrate and analyze through thick overburden and high iron content materials. The spectrometer uses multiple spectral bands to distinguish hydromorphic anomalies from background interference, maintaining detection precision in challenging geological conditions while expanding exploration coverage to previously inaccessible areas.
Solution Approach 2:
The system changes detection parameters by using spectral analysis across multiple wavelengths rather than traditional single-method analysis. The spectrometer detects hydromorphic anomalies by identifying specific spectral signatures that distinguish mineralized zones from background geology, even through thick overburden. This parameter change in detection methodology maintains measurement precision while significantly expanding adaptability to diverse geological settings including areas with thick overburden and high iron content.
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
This approach significantly reduces human error and delays, enabling efficient and accurate detection of subsurface ore bodies by analyzing fine dust particles for hydromorphic anomalies, improving the acuity and depth of detection, and facilitating the identification of buried and blind ore bodies.
Implementation Method 1
a sampling probe (20) mechanically coupled to the dust collection module (12) and adapted to be momentarily inserted into the surface overburden at selected locations to draw a sample of dust up into the dust collection module (12)
Implementation Method 2
using Inductively Coupled Plasma Mass Spectrometric (ICP-MS) techniques to detect hydromorphic anomalies
Implementation Method 3
using Inductively Coupled Plasma Mass Spectrometric (ICP-MS) techniques to detect hydromorphic anomalies
Data Source
AI summary
A method and system for locating subsurface ore bodies. Samples of near surface soil are collected over a predetermined geographical area. The samples are analysed to discover any chemical anomalies in the dust particles as a way of identifying possible subcropping mineralization. A tine (22) and collection tube (24) engage into subsurface soil and samples are drawn up the tube into a dust collection module (12). Sub 5 micron particles are captured on an electrostatically charged tape (40). Consecutive samples are indexed on the tape e.g. with a barcode. Collected dust samples are ablated by a laser ablation cell (72) and the ablated sample analysed by a mass spectrometer for presence of ions indicating presence of a resource body, such as a body of ore, minerals or hydrocarbons.