Automated Surveying Method for Object Point Determination
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Solution Overview
Problem
Conventional surveying methods are inefficient and inaccurate when determining object representing points, especially for complex shapes like building corners, mast centers, or tree centers, due to the need for manual placement of perpendicular poles and reflectors, leading to reduced productivity and reliability.
Innovation Solution
A surveying method using a motorized total station equipped with imaging and angle measurement means to detect a series of points, analyze their spatial distribution, and apply image processing to determine relevant points, fit space curves, and extract object contours, allowing for automated identification of object representing points and their coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a perpendicular pole with reflector is placed adjacent to the object to be surveyed, then the surveying can be performed, but the accuracy of the surveying results is limited due to placement inaccuracies
Solution Approach 1:
The patent replaces the manual mechanical placement of perpendicular poles with an automated laser scanning system. The laser scanner automatically measures multiple points on the object surface without requiring manual intervention, eliminating placement errors and achieving both high reliability and precision simultaneously.
Solution Approach 2:
The patent creates a digital 3D model (copy) of the object through laser scanning. Instead of measuring a single point with a perpendicular pole, the system captures the complete geometry of the object by scanning multiple points and generating a digital representation, which can be precisely analyzed to determine object representing points.
2Reliability
If manual steps are performed to place perpendicular pole and measure angles, then surveying can be conducted, but productivity is reduced
Solution Approach 1:
The laser scanning system performs surveying automatically without requiring manual operations. The system self-adjusts, self-measures, and self-processes the data, eliminating the need for operators to manually place poles, aim instruments, and record measurements, thereby dramatically increasing productivity while maintaining surveying reliability.
Solution Approach 2:
The laser scanner continuously measures multiple points on the object surface in rapid succession, creating an uninterrupted data stream. This continuous measurement process replaces the discrete, step-by-step manual measurement approach, enabling complete objects to be surveyed in a single continuous operation rather than through multiple separate measurement steps.
3Productivity
If reflector-less measurement is performed directly to the edge of the object, then productivity increases, but measurement accuracy decreases due to beam scattering
Solution Approach 1:
Instead of measuring a single point on the object edge, the laser scanning system segments the measurement into multiple discrete points across the object surface. By measuring numerous individual points and processing them collectively through 3D modeling, the system overcomes the inaccuracy of single-point measurements while maintaining automated high-speed operation.
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 method enhances accuracy in defining object edges and corners, simplifies the surveying process, and enables automated determination of object representing points, improving productivity and reliability in geodetic measurements.
Implementation Method 1
another portion 5a is reflected from the wall forming the edge
Implementation Method 2
an image is captured by an integrated camera
Data Source
AI summary
A surveying method wherein an object belongs to a group of known types of objects, and determining an object representing point corresponding to the type of the object, including determining a series of points at an object by measuring distances and angles to the points in a defined angle area, analyzing the spatial distribution of the points and, based thereon, assigning relevant points to a first group of points, identifying the type of the object on the basis of the first group of points, capturing an image of the object, extracting a contour of the object from the image by use of an image processing method, fitting at least one space curve to the object on the basis of the first group of points and the extracted contour, and determining the coordinates of the object representing point from the fitted space curve.