Automated Curve Measurement Aligning CAD Models with Point Clouds

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Solution Overview

Problem

Current 2D measurement machines are inefficient in measuring complex object shapes and when multiple objects need to be measured, leading to wasted time and reduced productivity in precision measurement tasks.

Innovation Solution

A system and method that aligns and compares ideal CAD curves with real point-cloud data from 2D scanners, using tolerance ranges and color assignment to generate accurate real curves, and outputs measurement reports, improving efficiency by automating the process through computer modules for alignment, computing, and reporting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a 2D measurement machine is used to measure complex object shapes, then measurement capability is provided, but measurement efficiency deteriorates and time is wasted

Engineering Contradiction:
Improvemeasurement capability for complex shapesVSAvoidmeasurement efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent applies preliminary action by pre-defining ideal curves from CAD models before measurement. The system compares real scanned points against these pre-existing ideal curves, eliminating the need for manual curve generation and enabling rapid automated measurement of complex shapes without time-consuming manual intervention.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual mechanical measurement processes with automated computational algorithms. Instead of manually tracing complex curves or using time-consuming manual comparison methods, the system uses computer-based algorithms to automatically compare real point-cloud data against ideal CAD curves, significantly improving measurement efficiency for complex geometries.

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

2Quantity of substance

If multiple objects are measured using traditional 2D measurement methods, then measurement coverage is increased, but time consumption increases and productivity decreases

Engineering Contradiction:
Improvenumber of objects measuredVSAvoidtime consumption
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The patent implements universality by creating a single automated measurement system that can handle multiple different object types simultaneously. The system uses a universal approach where the same automated algorithm compares real scanned points against ideal curves from CAD models for any object type, enabling efficient batch processing of multiple objects without requiring separate measurement procedures for each object.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent ensures continuity of useful action through automated batch processing. The system continuously scans, processes, and compares multiple objects in sequence without interruption or manual intervention between objects. The automated workflow maintains continuous operation from scanning through comparison to result generation, eliminating idle time between measurements and improving overall productivity when measuring multiple objects.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS7865330B2System and method for measuring a curve of an object
Publication Date: 2011.01.04 HONG FU JIN PRECISION IND (SHENZHEN) CO LTD
  • US7865330B2 patent drawing
  • US7865330B2 patent drawing
  • US7865330B2 patent drawing

AI summary

A system and method for measuring a curve of an object includes aligning the ideal curve and the real point-cloud of the object, and defining a plurality of tolerance ranges for an area of a real curve of the object having a tolerance in a predetermined range. The method further includes determining a closest ideal point on the ideal curve corresponding to each real point in the real point-cloud, and assigning a serial number to each real point in the real point-cloud according to a sequence of the closest ideal points on the ideal curve. Furthermore, the method includes generating the real curve by connecting every two real points in the real point-cloud according to the serial number, and assigning a color to each line-segment according to the tolerance range in which two closest distances corresponding to two end-points of each line-segment fall.