3D Coordinate Measurement Error Minimization

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for determining 3D coordinates of an object's surface, such as those using 2D laser scanners and camera-based systems, face challenges with measurement accuracy and efficiency, particularly for large objects, where errors propagate and require time-consuming preparation with reference marks.

Innovation Solution

A method that uses a 3D measuring device with detectors to determine partial surface coordinates, where the position is tracked, and an error function is minimized iteratively during the matching process, allowing for improved accuracy without the need for extensive object preparation or reference marks, by incorporating detector error functions with specific weightings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If reference marks are adhered onto the surface of the object to improve measurement accuracy, then measurement precision improves, but the ease of manufacture deteriorates due to time-consuming preparation

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidobject preparation time
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The invention extracts the reference function from physical marks on the object surface and relocates it to detectors mounted on the 3D measuring device itself. This eliminates the need to prepare the object surface while maintaining the reference functionality needed for accurate measurements.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The detectors mounted on the 3D measuring device serve as an intermediary reference system. Instead of using marks on the object as references, the detectors track the position and orientation of the measuring device, providing a reference framework that eliminates preparation time while maintaining measurement accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If the position of the 3D measuring device is determined by a tracking system for each individual measurement, then measurement precision improves, but the productivity deteriorates due to increased measurement time

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidmeasurement throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The detectors are pre-mounted on the 3D measuring device, establishing the tracking reference system in advance. This preliminary setup enables continuous position determination during scanning operations, maintaining high measurement accuracy without adding time to each individual measurement cycle.

Inventive Principle:
Principle #10Preliminary action

3Area of stationary object

If multiple individual measurements are performed to cover large objects, then the measurement precision deteriorates due to error propagation, but the area coverage improves

Engineering Contradiction:
Improveobject coverage areaVSAvoidmeasurement accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The detectors mounted on the 3D measuring device provide continuous feedback on the device's position and orientation throughout the scanning process. This feedback mechanism enables accurate registration of multiple partial surfaces by maintaining precise tracking information, thereby reducing error propagation when measuring large objects that require multiple measurements.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS7436522B2Method for determining the 3D coordinates of the surface of an object
Publication Date: 2008.10.14 CARL ZEISS OPTOTECHN GMBH
  • US7436522B2 patent drawing
  • US7436522B2 patent drawing

AI summary

A method serves to determine the 3D coordinates of an object. The 3D coordinates of a partial surface (6) of the object are determined by a 3D measuring device (3), which includes one or more detectors (4) and whose position is determined by a tracking system. The 3D coordinates of an adjacent partial surface (7) of the object are determined by the 3D measuring device (3). The 3D coordinates of an overlap region of he adjacent partial surfaces (6,7) are put together by a matching method. In doing so, an error function is determined and minimized iteratively. Furthermore, the error function of a detector (4) of the 3D measuring device (3) is determined.