Sanitary Article Defect Prediction from Production Parameter Anomalies
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Solution Overview
Problem
Existing methods for detecting defects in absorbent sanitary articles, such as nappies and sanitary pads, are inefficient, costly, and unreliable, particularly due to the high construction complexity of production lines and articles, making it difficult to identify and prevent defects without advanced inspection devices or laboratory tests.
Innovation Solution
An automated method using sensors to monitor production device parameters, compare them to reference values, and apply decision algorithms to predict defects based on identified malfunctioning causes, without direct article inspection, enabling real-time detection and prevention of defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced inspection devices or laboratory tests are used to detect defects, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical inspection devices and laboratory testing systems with a monitoring system that tracks operating parameters of production devices. By substituting direct article inspection with indirect parameter monitoring, the system achieves defect prediction without requiring advanced inspection hardware or laboratory facilities.
Solution Approach 2:
The patent introduces operating parameters as an intermediary between production device operations and defect detection. Instead of directly inspecting articles for defects, the system monitors parameters such as temperature, pressure, and speed of production devices, using these intermediate measurements to predict potential defects through decision algorithms.
2Measurement precision
If direct article inspection is performed to detect defects, then measurement precision is improved, but productivity decreases due to time-consuming inspection processes
Solution Approach 1:
The patent performs preliminary monitoring of operating parameters during the production process itself, rather than inspecting articles after production. By continuously tracking parameters such as temperature, pressure, and speed during manufacturing, the system predicts defects before they occur, eliminating the need for separate inspection steps and maintaining production flow.
Solution Approach 2:
The monitoring system operates continuously throughout the production process, tracking operating parameters in real-time without interrupting the production line. This continuous monitoring approach maintains uninterrupted production flow while simultaneously detecting potential defects, unlike batch inspection methods that stop production for quality checks.
3Measurement precision
If multiple operating parameters are monitored to improve defect prediction accuracy, then measurement precision is improved, but loss of information increases due to the complexity of processing multiple parameter streams
Solution Approach 1:
The patent implements feedback loops where operating parameters are monitored, compared against reference values, and used to continuously update defect predictions. The system processes multiple parameter streams by feeding them into decision algorithms that integrate the information, comparing current parameter values with historical data and reference values to maintain accurate defect predictions without being overwhelmed by data complexity.
Data Source
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AI summary
Production line of absorbent sanitary articles and method of predictive detection of defects of absorbent sanitary articles (2), wherein it is provided to: detect current values of operating parameters which are indicative of the current operation of at least one production device (38, 40, 41, 42, 43) adapted to perform respective production operations on the absorbent sanitary articles (2) being processed along the production line (1); perform a comparison between the current values of the detected operating parameters and respective predetermined reference values; in the presence of at least one anomalous operating parameter that does not comply with the respective predetermined reference values, identify, among a plurality of possible malfunctioning causes of the line (1), at least one current malfunctioning cause responsible for said at least one anomalous operating parameter; and make a prediction of any defects in the absorbent sanitary articles being processed along the line (1) starting from said at least one current malfunctioning cause identified.