Laser Scanner Attitude Detector for Automated Building Cross-Section Measurement

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Solution Overview

Problem

Conventional methods for measuring building dimensions using laser scanners require skilled operation and extensive time, especially when dealing with three-dimensional data acquisition, as they involve complex processing of large point cloud data to extract line and height information for plan views.

Innovation Solution

A laser scanning method that utilizes an attitude detector to convert point cloud data into horizontal distance and height information, sets height lines on wall surfaces, averages horizontal distance data along these lines, and measures horizontal cross-sections at predetermined heights, reducing the need for extensive point cloud data and simplifying the measurement process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional laser scanning with total station is used to measure building dimensions, then measurement accuracy can be maintained, but the operation requires skilled personnel and takes extensive time

Engineering Contradiction:
Improvemeasurement speedVSAvoidoperation complexity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The laser scanner automatically performs measurement processing by internally extracting line information and height information from point cloud data without requiring external manual intervention. The system self-corrects and self-processes the data, eliminating the need for skilled operators to manually process measurements.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The invention changes the measurement parameters by directly capturing and processing three-dimensional point cloud data with inherent height information, rather than using traditional two-dimensional angle measurements. This parameter change enables automatic extraction of building dimensions without skilled manual processing.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If three-dimensional point cloud data is acquired by laser scanning, then comprehensive measurement information is obtained, but enormous amounts of data require complex processing to extract line and height information

Engineering Contradiction:
Improvemeasurement information completenessVSAvoiddata processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system extracts only the necessary line information and height information from the comprehensive point cloud data using automated algorithms. By taking out only the required measurement elements directly from the three-dimensional data, the processing complexity is reduced while maintaining complete measurement information.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces an automated data processing intermediary that acts as a bridge between the raw point cloud data and the final measurement results. This intermediary automatically performs the complex task of extracting line and height information, simplifying the overall process.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If conventional methods are used to prepare plan views from measured data, then accurate drawings can be produced, but the process requires skilled work and extensive time

Engineering Contradiction:
Improvedrawing accuracyVSAvoiddrawing preparation time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of skilled workers preparing drawings with an automated computational system. The laser scanner directly captures three-dimensional data and automatically generates plan view information, substituting human manual drawing preparation with automated digital processing.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary action by capturing complete three-dimensional point cloud data that inherently contains all necessary measurement information before any processing occurs. This preliminary data capture eliminates the need for subsequent manual measurement and drawing preparation steps.

Inventive Principle:
Principle #10Preliminary action

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 allows for efficient acquisition of building measurements with reduced point cloud data and shorter measurement times, enabling simpler and faster generation of plan views by averaging and developing horizontal distance information along height lines.

Implementation Method 1

a light emitting element for emitting a distance measuring light, a distance measuring light projecting unit for projecting the distance measuring light, a light receiving unit for receiving a reflected distance measuring light

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

a photodetector for receiving the reflected distance measuring light and producing a light receiving signal

Methodology Applied
Scientific EffectPhotoelectric conversion: Photoelectric Effect

Data Source

PatentUS11150346B2Measuring method and laser scanner
Publication Date: 2021.10.19 TOPCON CORPORATION
  • US11150346B2 patent drawing
  • US11150346B2 patent drawing
  • US11150346B2 patent drawing

AI summary

A measuring method, wherein point cloud data of a building is acquired by a laser scanner, wherein the laser scanner has an attitude detector for detecting a tilting with respect to a horizontality or a verticality, converts the point cloud data into a horizontal distance and a height or a difference of a height based on the tilting detected by the attitude detector, sets a height line at a predetermined height on a wall surface, averages a horizontal distance information of the point cloud data included in a predetermined width with the height line as a center in a height direction, further develops the horizontal distance information along the height line in a horizontal direction, and measures a horizontal cross section at the predetermined height.