Cable Layer Texture Analysis for In-Line Geometric Defect Detection
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Solution Overview
Problem
Existing quality control methods for cable layers, particularly in high-voltage cables, fail to effectively identify and quantify very small geometric deviations or defects that can affect electrical and mechanical performance, as they do not analyze fine or textural features in-line.
Innovation Solution
An in-line surface scanner system that includes non-contact distance scanners and a controller to extract surface texture data by segmenting scan data, allowing real-time analysis of minute geometric deviations or defects, and a digital twin monitoring unit for continuous quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If diameter measurement QC method is used, then manufacturing efficiency is maintained, but measurement precision for fine geometric deviations is insufficient
Solution Approach 1:
The scan data is segmented into multiple subsets, each representing a different viewing angle or region of the cable layer. This segmentation allows the system to analyze fine geometric deviations by comparing multiple perspectives, thereby improving measurement precision without requiring a single overly complex scanner
Solution Approach 2:
A controller acts as an intermediary that receives scan data from multiple non-contact distance scanners, processes the data through segmentation and comparison algorithms, and generates quality control decisions. This intermediary processing layer enables precise detection of fine deviations while keeping individual scanner units relatively simple
2Manufacturing precision
If in-line surface scanning is implemented, then manufacturing precision monitoring is improved, but productivity is reduced due to additional processing time
Solution Approach 1:
Multiple scanners continuously capture scan data in real-time as the cable layer moves through the manufacturing line, performing preliminary data collection without stopping production. The segmentation and comparison processing occurs concurrently with manufacturing, enabling precision monitoring without significant productivity loss
Solution Approach 2:
The system maintains continuous scanning and data processing throughout the cable layer manufacturing process. Non-contact distance scanners operate continuously, and the controller performs segmented data analysis in real-time, ensuring that manufacturing precision monitoring occurs without interruption to productivity
3Reliability
If traditional QC methods are used, then device complexity is low, but reliability of quality control is insufficient for detecting defects
Solution Approach 1:
Multiple non-contact distance scanners are merged into a coordinated scanning system, with their data combined and compared by the controller. This merging of multiple measurement sources significantly improves defect detection reliability, as defects can be detected from multiple angles and verified through cross-comparison
Solution Approach 2:
The controller implements feedback mechanisms by continuously comparing scan data from different angles and subsets, identifying deviations from expected patterns, and triggering quality control actions. This feedback loop ensures high reliability in defect detection, as anomalies are confirmed through multiple measurement iterations
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
Enables real-time identification and quantification of surface texture features, improving the quality control of cable layers by detecting defects and deviations, enhancing the manufacturing process and ensuring the cable's performance and durability.
Implementation Method 1
one or more non-contact distance scanners arranged to measure distance to an outer surface of the received cable layer
Data Source
Figure 1A~1B
Figure 2
Figure 3~4
AI summary
A system for surface analysis of a cable layer. The system comprises an in-line surface scanner arrangement and a controller. The in-line surface scanner arrangement is for scanning a cable layer in or received from a cable manufacturing line, the scanner arrangement comprising one or more non-contact distance scanners arranged to measure distance to an outer surface of the received cable layer. The controller is arranged to receive scan data of the outer surface of the received cable layer based on signals received from the in-line surface scanner arrangement; extract surface texture data from the scan data; determine one or more properties of the surface of the cable layer based on the surface texture data; compare at least one determined property with one or more threshold criteria; and identify at least one of a surface feature of interest, a deviation, or a defect based on the comparison.