Point Cloud Coordinate Transformation for Deep-Buried Tunnels
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Solution Overview
Problem
In deep underground engineering, particularly in high-stress tunnels, ultra-deep stopes, and tunnels prone to rockburst, pressure bumps, and collapse, obtaining geological structure information is hazardous and time-consuming due to the need for manual registration of point cloud data from three-dimensional laser scanning into geodetic coordinates, which requires multiple measurement points and personnel exposure.
Innovation Solution
A method and equipment using a target device with a triangular target holder, isosceles triangle and trapezoid plate surfaces, and a digital electronic compass to quickly acquire point cloud data and convert coordinates from a local scanner system to geodetic coordinates, reducing the need for extensive manual measurement and personnel exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual total station measurement is used to determine geodetic coordinates of target points, then coordinate transformation accuracy is improved, but measurement time and personnel exposure to risk increase significantly
Solution Approach 1:
The patent replaces the mechanical total station measurement system with a three-dimensional laser scanning system. The laser scanner automatically captures point cloud data of multiple target points, and coordinate transformation is achieved through automated processing of this data, eliminating the need for manual measurement operations while maintaining transformation accuracy.
Solution Approach 2:
The patent creates a digital copy of the physical measurement process by capturing three-dimensional point cloud data of target points. This digital replica allows for automated coordinate transformation calculations without requiring physical presence of personnel at the measurement location, thus reducing both time and risk exposure.
2Measurement precision
If multiple target points are measured manually to meet point cloud data registration requirements, then data registration quality is improved, but operational complexity and time consumption increase
Solution Approach 1:
The patent replaces manual total station measurement operations with automated three-dimensional laser scanning. The laser scanner systematically captures point cloud data of multiple target points without requiring manual intervention for each point, thereby maintaining data registration quality while significantly reducing operational complexity.
Solution Approach 2:
The laser scanning system performs self-service by automatically capturing, processing, and transforming coordinate data of multiple target points. The system independently completes the entire measurement and transformation process without requiring multi-person cooperation or complex manual operations, thus reducing operational complexity while maintaining registration quality.
3Measurement precision
If traditional manual measurement methods are used in high-risk environments, then measurement accuracy is maintained, but personnel safety and measurement speed are compromised
Solution Approach 1:
The patent replaces manual measurement operations with automated three-dimensional laser scanning technology. The laser scanner remotely captures point cloud data of target points in high-risk environments, eliminating the need for personnel to physically position and measure each target point, thus maintaining measurement accuracy while removing personnel from hazardous zones.
Solution Approach 2:
The patent introduces the laser scanner as an intermediary device between the measurement objective and the operator. The scanner acts as a remote intermediary that captures measurement data without requiring direct human interaction with the target points, thereby maintaining measurement accuracy while protecting personnel from environmental hazards such as rockbursts and collapses.
4Measurement precision
If extensive manual measurement points are collected for coordinate transformation, then transformation accuracy is improved, but productivity and efficiency decrease
Solution Approach 1:
The patent replaces manual measurement collection with automated three-dimensional laser scanning. The laser scanner rapidly captures point cloud data of multiple target points simultaneously, and coordinate transformation is performed automatically through computational processing, thereby maintaining transformation accuracy while dramatically improving measurement efficiency and productivity.
Solution Approach 2:
The laser scanning system enables continuous and uninterrupted data collection of multiple target points without the interruptions inherent in manual measurement processes. The automated scanning and processing workflow maintains continuous useful action throughout the measurement and transformation process, improving productivity while preserving transformation accuracy through systematic data capture.
Data Source
AI summary
The embodiment of the present application discloses a method and equipment for transformation of point cloud coordinates of structure plane of deep-buried tunnel based on a target device. Before performing laser scanning on a measured surface, the embodiment of the present application makes the third plate surface close to the measured surface by adjusting the target device, and makes the bubbles of the first circular level and the second circular level in a centered state; respectively extracting point cloud coordinates of the three cross targets from the point cloud data, and acquiring the first tendency of the third plate surface from the digital display of three-dimensional electronic compass; determining the second tendency of the third plate surface according to the point cloud coordinates; converting the coordinates in the point cloud data to geodetic coordinates according to the first tendency and the second tendency.