Hyperspectral Wall-Climbing Robot for Tunnel Mineral Identification
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Solution Overview
Problem
Current methods for identifying adverse geological bodies in tunnels using hyperspectral technology are inefficient due to reliance on naked-eye observation, leading to uncertainty and the need for time-consuming laboratory analysis, which delays construction.
Innovation Solution
A system comprising a wall-climbing robot equipped with hyperspectral light sources and receivers, controlled to move in a spiral path, and a signal processor to rapidly identify mineral distribution and characteristics, enabling accurate and fast identification of adverse geological bodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If naked eye observation is used for mineral identification, then the identification process is simple, but the accuracy is low and boundary determination is uncertain
Solution Approach 1:
The patent replaces the mechanical/naked-eye observation system with a hyperspectral imaging system that uses electromagnetic radiation (light) to detect and analyze mineral properties. The hyperspectral camera captures spectral signatures across multiple bands, enabling automated mineral identification without relying on human visual inspection, thus resolving the contradiction between operational simplicity and identification accuracy.
Solution Approach 2:
The patent introduces hyperspectral imaging technology as an intermediary between the mineral samples and the identification process. This intermediary captures detailed spectral information that serves as a bridge between the physical mineral properties and the digital analysis system, enabling precise boundary determination and mineral classification that neither naked eye observation alone nor direct laboratory analysis can achieve efficiently.
2Measurement precision
If laboratory analysis is used for accurate mineral identification, then the accuracy is high, but the time consumption is excessive and construction period is prolonged
Solution Approach 1:
The patent replaces time-consuming laboratory analysis with on-site hyperspectral imaging and automated spectral matching. The system captures hyperspectral data in the field, processes it through algorithms that compare against reference spectral libraries, and delivers rapid mineral identification results without requiring physical sample collection and laboratory processing, thus dramatically reducing identification time while maintaining high accuracy.
Solution Approach 2:
The patent performs preliminary mineral identification and boundary determination directly at the construction site using hyperspectral imaging, before construction activities proceed. This preliminary action eliminates the need for subsequent laboratory analysis delays, allowing construction teams to make informed decisions about adverse geological bodies and adjust construction plans in real-time, thereby preventing construction period extensions.
3Productivity
If hyperspectral imaging system is deployed, then the identification speed and accuracy improve, but the device complexity increases
Solution Approach 1:
The patent employs a hyperspectral imaging system that serves multiple functions: it captures spectral data for mineral identification, maps mineral distribution patterns, determines boundary locations, and provides data for geological body classification. This multi-functionality consolidates what would otherwise require multiple separate devices and processes, improving identification speed and accuracy while managing system complexity through integrated design.
Solution Approach 2:
The patent implements automated spectral processing algorithms that self-correct and self-validate the hyperspectral data without requiring extensive manual intervention. The system automatically performs radiometric correction, atmospheric compensation, spectral unmixing, and mineral classification by comparing against reference libraries, enabling the complex system to operate with minimal human input and maintain high productivity while managing its own complexity through self-service mechanisms.
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
The system provides rapid and accurate identification of minerals, improving the speed and accuracy of adverse geological body detection, reducing construction delays by leveraging hyperspectral technology and computer-processed data.
Implementation Method 1
the signal processor receives mineral reflection spectrum information
Data Source
AI summary
A system and a method identify an adverse geological body in a tunnel based on hyperspectral technology analysis. The system includes a wall-climbing robot, a controller, and a signal processor, wherein the wall-climbing robot is provided with a plurality of groups of hyperspectral light sources and receivers, and the hyperspectral light sources and the receivers are arranged at intervals; the controller is configured to control the operation of the wall-climbing robot to ensure that the wall-climbing robot moves on a tunnel face according to a set spiral path; and the signal processor communicates with the receivers to receive the acquired spectrum data, draws a mineral distribution map of the tunnel face with the path raveled by the wall-climbing robot as a plane, and identifies an adverse geological body by identifying categories and distribution characteristics of the representative minerals.