Optical Lens Manufacturing Control for Cross-Platform Error Detection
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Solution Overview
Problem
Existing methods for manufacturing optical lenses are limited to platform-dependent error detection and improvement, restricting the ability to address manufacturing issues across multiple systems.
Innovation Solution
A method and device for manufacturing optical lenses that allow for platform-independent processing of status values related to manufacturing machines and steps, using OPC UA communication protocol to facilitate error detection and improvement across systems, with a computer-implemented approach for real-time monitoring and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If platform-dependent error detection and improvement methods are used, then the manufacturing process can be monitored, but the ability to address manufacturing issues across multiple systems is restricted
Solution Approach 1:
The patent implements a universal error detection and improvement system that operates across multiple manufacturing platforms. The system uses standardized status value processing and classification mechanisms that are platform-independent, allowing the same error detection logic to be applied universally across different manufacturing systems while maintaining adaptability to platform-specific characteristics through configurable parameters and flexible reporting mechanisms.
2Productivity
If real-time monitoring and control is implemented across different manufacturing platforms, then system-wide error detection and correction is enabled, but the system complexity increases
Solution Approach 1:
The patent segments the manufacturing execution system into modular functional components including status value determination modules, comparison modules, classification modules, and reporting modules. Each module performs a specific function in the error detection and correction process, allowing the system to be implemented incrementally and maintained independently. This modular architecture reduces overall system complexity while enabling comprehensive real-time monitoring across multiple platforms.
Solution Approach 2:
The patent introduces standardized status values as intermediary elements that mediate between platform-specific manufacturing processes and the universal error detection system. These status values serve as a common language that translates diverse platform-specific parameters into a standardized format, simplifying cross-platform comparison and analysis without requiring direct integration of all platform-specific complexities into the central monitoring system.
3Measurement precision
If status values are processed in real-time with detailed classification, then manufacturing errors can be precisely identified, but the processing time and computational resources increase
Solution Approach 1:
The patent implements a tiered classification approach where status values are first compared against recommended values to identify deviations, then classified into priority levels based on the magnitude and criticality of deviations. This partial action approach processes all status values through essential comparison and classification steps, while more detailed analysis is applied selectively to high-priority cases, reducing overall processing time while maintaining precise error identification for critical issues.
Data Source
AI summary
A method and a device for manufacturing at least one optical lens, a method and a device for controlling at least one manufacturing machine or at least one manufacturing step, and a corresponding computer program are disclosed. The method for controlling at least one manufacturing machine or at least one manufacturing step includes determining at least one status value related to at least one of the manufacturing machine or the manufacturing step; comparing the at least one status value with at least one recommended value; assigning a difference between the status value and the recommended value into at least two classes according to the difference; and, depending on the class, reporting the status value to at least one of the manufacturing machine or a manufacturing executing system.