Terrace Surface Detection Using Mobile Point Cloud Splicing
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Solution Overview
Problem
Current terrace detection methods are inefficient and inaccurate, particularly for large areas with high surface quality requirements, as they rely on subjective sampling and manual operations, leading to high costs and incomplete data representation of the surface quality.
Innovation Solution
A terrace detection device comprising a target vehicle and a measuring vehicle, equipped with a measuring head that acquires point cloud data and graphic information across established measuring ranges, allowing for comprehensive data splicing to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual detection methods with guiding rules are used, then operation simplicity and tool cost are improved, but measurement precision and reliability deteriorate due to subjective sampling and incomplete data representation
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated mobile detection system that uses sensors, cameras, and computing devices to automatically collect and analyze terrace surface data, eliminating subjective human factors while maintaining ease of operation
Solution Approach 2:
The patent creates a digital copy of the terrace surface through point cloud data and graphical representations, allowing comprehensive analysis without physical contact or subjective sampling, thus improving measurement precision while keeping the system easy to operate
2Measurement precision
If comprehensive point cloud data acquisition from multiple ranges is implemented, then measurement precision and data completeness are improved, but device complexity and detection time increase
Solution Approach 1:
The patent divides the large-area terrace into multiple measurement ranges and uses a mobile detection system to sequentially acquire point cloud data from each segment, then integrates them into a complete dataset, improving data completeness without requiring an overly complex single-system solution
Solution Approach 2:
The patent employs a multi-functional mobile detection platform that combines sensors, cameras, and computing capabilities in a single vehicle system, enabling it to perform multiple measurement tasks across different ranges while managing device complexity through integrated design
3Ease of operation
If manual guiding rule measurement is used, then tool cost and operation simplicity are improved, but productivity and detection efficiency deteriorate due to slow manual operation
Solution Approach 1:
The patent implements an automated detection system that self-navigates, self-measures, and self-analyzes terrace surfaces without requiring continuous manual intervention, thereby dramatically improving detection efficiency while maintaining operational simplicity through automated control
Solution Approach 2:
The patent enables continuous data acquisition as the mobile detection vehicle moves across the terrace surface, eliminating the stop-and-go nature of manual measurements and significantly improving productivity through uninterrupted detection
Data Source
AI summary
The present invention provides a terrace detection device and a use method of the terrace detection device. The terrace detection device comprises a target vehicle, a measuring vehicle and a controller, wherein the target vehicle comprises a first mobile vehicle and a target, and the target is mounted on the first mobile vehicle; the measuring vehicle comprises a second mobile vehicle and a measuring head, and the measuring head is mounted on the second mobile vehicle; and The controller is electrically connected with the measuring vehicle and the target vehicle, respectively, and is used for controlling the first mobile vehicle and the second mobile vehicle to move from a first established measuring range to a second established measuring range. Therefore, the to-be-measured terrace is estimated integrally, so that the accuracy of the acquired terrace data is improved.