Distributed Job Computation Blocks for Optical Manufacturing Data
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Solution Overview
Problem
Current optical lens manufacturing systems are inflexible and time-consuming due to the need for centralized knowledge of all equipment and configurations, requiring extensive collaboration and development cycles to deploy new products or processes, which hampers the introduction of new technologies and processes in optical manufacturing labs.
Innovation Solution
A distributed system that enables the communication and execution of manufacturing logic, allowing optical manufacturing data to be modified and adapted by local equipment and systems, using Job Computation Blocks (JCBs) that contain both data and logic, decoupling the output of the Lens Design System from the input of other systems and enabling real-time adjustments and recalculations based on equipment-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a centralized Lens Design System is used to perform all calculations and send manufacturing data to the Lab Management System, then manufacturing precision and data consistency are improved, but the system complexity and deployment time for new equipment increase
Solution Approach 1:
The patent divides the centralized Lens Design System into distributed Job Computation Blocks (JCBs) that can be independently deployed on different equipment. Each JCB contains the necessary manufacturing logic and can operate autonomously, eliminating the need for a single centralized system to have knowledge of all equipment configurations.
Solution Approach 2:
The patent introduces an intermediary layer (the distributed JCB architecture) between the Lens Design System and Lab Management System. This intermediary allows manufacturing logic to be transported and executed locally on equipment without requiring the central system to directly manage or understand each piece of equipment's specific configuration.
2Manufacturing precision
If the Lens Design System must have knowledge of every piece of equipment and its configuration, then manufacturing precision is improved, but the adaptability to new equipment and processes deteriorates
Solution Approach 1:
The patent extracts the manufacturing logic from the centralized Lens Design System and places it directly into the Job Computation Blocks that run on individual equipment. This extraction allows each equipment to have the precision logic it needs without the central system requiring knowledge of every equipment's specific configuration.
Solution Approach 2:
The patent creates a universal JCB architecture that can be deployed on any equipment type. The standardized JCB format allows the same manufacturing logic to be adapted to different equipment without requiring custom integration for each device, enabling both precision and adaptability.
3Reliability
If extensive collaboration and development cycles are required to integrate new equipment, then system reliability is improved, but the time to market for new products deteriorates
Solution Approach 1:
The patent performs preliminary action by pre-packaging manufacturing logic into standardized Job Computation Blocks that can be immediately deployed on new equipment. This eliminates the need for extensive on-site integration and development cycles, as the logic is already prepared and can be rapidly deployed while maintaining reliability through standardized interfaces.
4Manufacturing precision
If a centralized system architecture is used, then data consistency is improved, but the productivity and speed of manufacturing processes deteriorate
Solution Approach 1:
The patent segments the centralized processing into distributed JCBs that execute manufacturing logic locally on equipment. This eliminates data transmission bottlenecks and allows parallel processing across multiple devices, significantly improving productivity while maintaining data consistency through standardized logic packaging.
Solution Approach 2:
The patent enables equipment to serve themselves by executing manufacturing logic locally through JCBs. Each equipment can independently process manufacturing data without requiring constant communication with a centralized system, improving speed and productivity while maintaining consistency through standardized logic execution.
Data Source
AI summary
Systems, computer-implemented methods, and computer-readable storage media that execute, are configured to execute, or store instructions that enable modification of optical manufacturing data, including a computer-implemented method for modifying optical manufacturing data. The method includes receiving the optical manufacturing data associated with an optical job and modifying the optical manufacturing data using manufacturing logic to generate modified optical manufacturing data. The modified optical manufacturing data is then used in the manufacturing process of the optical job.