Display Panel Inspection via Random Sampling Control
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Solution Overview
Problem
Existing inspection methods for display panels lack accurate sampling and inspection efficiency, particularly for semi-finished products at various stages of the production process, affecting product quality and yield.
Innovation Solution
A method and apparatus that utilize a manufacturing execution module to set and transmit random sampling parameters to a production line control module, which generates and sends control signals to a detector for accurate random sampling across all production steps, improving yield and inspection efficiency by enabling centralized management and real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random sampling is performed only at the end of the production line, then inspection simplicity is maintained, but inspection accuracy and quality control effectiveness deteriorate
Solution Approach 1:
The inspection process is segmented into multiple stages: raw material inspection, in-process inspection at various production steps, and final product inspection. Each stage has its own sampling points and control parameters, allowing comprehensive quality control without requiring complex centralized management of the entire production line.
Solution Approach 2:
Quality inspection actions are performed preliminarily at each production step rather than waiting until the end. Sampling and inspection occur at predetermined points throughout the manufacturing process, enabling early detection and correction of quality issues before they propagate through subsequent production stages.
2Measurement precision
If centralized setting of sampling parameters is implemented across all production steps, then inspection accuracy and quality control improve, but system complexity increases
Solution Approach 1:
A universal quality management system is implemented that can be applied across all production steps and product types. The system uses standardized sampling methods, uniform data collection protocols, and consistent analysis procedures that work for different substrates, coatings, and production processes, reducing the need for step-specific complex configurations.
Solution Approach 2:
A centralized quality management module serves as an intermediary between various production line control systems and inspection devices. This module coordinates sampling parameters, collects data from multiple sources, and provides unified analysis, simplifying the overall system architecture while maintaining comprehensive quality control capabilities.
3Reliability
If sampling rate is adjusted for different products on the production line, then inspection effectiveness improves, but control complexity increases
Solution Approach 1:
The sampling rate and inspection parameters are made dynamic, automatically adjusting based on product type, production volume, and quality risk assessment. The system can increase sampling frequency for high-risk products or new product launches, and reduce sampling for stable, well-characterized products, optimizing quality control effectiveness while managing operational complexity through automation.
Data Source
AI summary
The present application provides a method for inspecting a display panel and an inspection apparatus. Wherein the method for inspecting the display panel including the following steps: setting substrate random sampling parameters in a manufacturing process by a manufacturing execution module, and transmitting the random sampling parameters to a production line control module; receiving and storing the random sampling parameters by the production line control module; generating a random sampling control signal and transmitting to a detector according to the random sampling parameters by the production line control module; and performing a random sampling to a substrate by the detector in accordance with the random sampling control signal.