3D Point Cloud Fit Verification for Aircraft Device Integration
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Solution Overview
Problem
The integration of physical devices into congested environments, such as aircraft, is complicated due to discrepancies between digital mock-ups and actual devices, leading to assembly issues and potential damage, requiring tedious and expensive inspections to ensure fit and interference verification.
Innovation Solution
A method involving three-dimensional scanning to create a point cloud, superimposing it on a digital mock-up, coordinating with polychrome images, separating point sets, establishing correspondence with a treelike structure, and evaluating fit, allowing for automatic verification of device alignment and integration with its environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection and measurement methods are used to verify device fit, then measurement precision can be achieved, but the process becomes tedious, time-consuming, and expensive
Solution Approach 1:
The patent replaces manual mechanical measurement systems with an automated optical scanning system. A 3D scanner captures the device geometry and compares it automatically with the digital mock-up, eliminating the need for manual gauges and measurement tools while maintaining measurement precision.
Solution Approach 2:
The patent creates a digital copy (3D point cloud) of the physical device through scanning. This digital replica is then automatically compared with the digital mock-up, replacing the need for physical measurement and inspection processes.
2Reliability
If comprehensive manual inspection is performed to detect all deviations, then reliability of device integration is improved, but device complexity increases due to the complex analysis required
Solution Approach 1:
The patent replaces complex manual analysis procedures with automated computational algorithms. The system automatically processes the 3D scan data, performs coordinate system alignment, and compares the scanned device with the digital mock-up, eliminating the need for complex manual measurement and analysis steps.
Solution Approach 2:
The system performs self-verification by automatically comparing the scanned device geometry with the digital mock-up. The automated process identifies deviations, interference issues, and fit problems without requiring external inspection expertise or complex manual analysis procedures.
3Object-affected harmful factors
If physical inspection after installation is performed to detect interference, then harmful factors can be detected, but accessibility to inspection spaces becomes difficult or impossible without disassembly
Solution Approach 1:
The patent performs the inspection action before the device is installed in its final position. By scanning the device prior to installation and comparing it with the digital mock-up that includes the installation environment, the system detects potential interference and fit issues before they become inaccessible problems.
Solution Approach 2:
The patent uses a digital copy of the installation environment (digital mock-up) to predict and detect interference issues. This virtual model allows inspection of areas that would be inaccessible after physical installation, eliminating the need for post-installation accessibility.
4Ease of manufacture
If oversized parts are used in the device, then manufacturing ease is improved, but harmful interactions with nearby devices increase and damage detection becomes difficult
Solution Approach 1:
The patent applies preliminary anti-action by detecting oversized parts and potential interference issues before the device is installed. The automated comparison between the scanned device and the digital mock-up identifies deviations that could cause harmful interactions, allowing corrective action to be taken before installation.
Solution Approach 2:
The system provides immediate feedback by automatically comparing the scanned device geometry with the digital mock-up. This feedback mechanism identifies oversized parts and potential interference issues, enabling real-time detection of manufacturing deviations that could cause harmful interactions.
Data Source
AI summary
Method and system of simple, precise, rapid and automatic control to verify fit between a manufactured device and its digital mock-up modelling it beforehand. The system includes a scanner configured to produce a three-dimensional cloud of points representative of the device, as well as a processor and a memory configured to superpose the cloud of points on the digital mock-up, coordinate the cloud of points with polychrome images captured during the scanning of the device and stored in a memory, disperse the cloud of points into several sets of points, each set of points corresponding to an object identified in the polychrome images, establish a correspondence between the sets of points and nodes of a treelike structure identifying the digital mock-up, and evaluate a fit between the cloud of points and the digital mock-up by analyzing the correspondence between the sets of points and the nodes of the treelike structure.