Software-Defined Manufacturing Cells With Auto-Calibration
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Solution Overview
Problem
Current automation systems in manufacturing are often costly and time-consuming to design, deploy, and configure, leading to inefficient reuse and high costs due to custom-tailored approaches, and they lack integration with workflow solutions, resulting in inaccurate simulation models and manual calibration needs.
Innovation Solution
A software-defined manufacturing system that utilizes modular robotic cells, computer vision, auto-calibration, and recipe-based programming to automate the design, engineering, deployment, and optimization of manufacturing processes, enabling quick reconfiguration and standardization across projects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If custom-tailored automation solutions are designed for specific manufacturing projects, then the automation can be effectively implemented for that specific project, but the engineering time and costs increase and reuse of automation equipment to future products is not supported
Solution Approach 1:
The patent implements a platform-based automation architecture where a core automation platform can be configured and adapted to serve multiple different manufacturing projects and products. The system uses modular components, standardized interfaces, and parameterized configurations that allow the same hardware platform to be reused across different applications, thereby reducing engineering time while maintaining automation effectiveness.
Solution Approach 2:
The system employs pre-configured automation modules, standardized device drivers, and template-based programming approaches that have been prepared in advance. These preliminary actions include creating reusable code libraries, predefined motion paths, and standardized integration patterns that can be quickly adapted to specific projects without starting from scratch, thus reducing engineering time while ensuring reliable automation implementation.
2Productivity
If simulation models are used to develop automation programs, then the speed of developing automation solutions can be improved, but the simulation models often differ materially from the real world requiring manual calibration
Solution Approach 1:
The patent implements automated calibration systems that use sensors, vision systems, and real-time data collection to compare simulation predictions with actual physical behavior. The system automatically adjusts simulation parameters based on measured deviations, creating a closed-loop feedback mechanism that continuously improves simulation accuracy without requiring manual calibration for each project.
Solution Approach 2:
The system creates digital twins or virtual replicas of the physical automation equipment and manufacturing processes. These digital copies are continuously updated with real-world data and used for simulation and optimization. The copying approach allows the simulation model to accurately represent the physical system by maintaining an updated virtual replica that reflects actual conditions, thereby improving simulation accuracy while maintaining development speed.
3Manufacturing precision
If manual calibration is performed to correct real-world variations in automation equipment, then accuracy can be improved, but time consumption and expert guidance requirements increase
Solution Approach 1:
The patent implements automated self-calibration systems where the automation equipment performs its own calibration using integrated sensors, vision systems, and feedback control. The system automatically detects positioning errors, adjusts parameters, and validates accuracy without requiring manual intervention or expert guidance. This self-service approach maintains high positioning accuracy while dramatically reducing calibration time and eliminating the need for specialized expertise.
Solution Approach 2:
The system replaces manual mechanical calibration processes with automated electronic and software-based calibration methods. Instead of physically adjusting mechanical components through manual procedures, the system uses electronic sensors, software algorithms, and automated control systems to perform calibration electronically, thereby reducing time consumption while maintaining or improving positioning accuracy.
4Adaptability or versatility
If automation equipment is deployed with extensive configuration data for multiple devices, then the system can control complex manufacturing processes, but managing configuration versions during debugging and deployment becomes time consuming and error prone
Solution Approach 1:
The patent implements a hierarchical configuration management structure where configuration data is organized in nested levels from general platform settings down to specific device parameters. This nested structure allows configuration to be managed at multiple abstraction levels, with higher-level configurations governing multiple devices and lower-level configurations providing specific device customization. This hierarchical approach simplifies version management and debugging by allowing changes to be made at appropriate levels without affecting the entire system.
Solution Approach 2:
The system introduces configuration management software and version control systems as intermediaries between the automation engineers and the complex configuration data. This intermediary layer provides automated tools for tracking configuration versions, managing changes, validating configurations, and coordinating updates across multiple devices. The intermediary software handles the complexity of configuration management, thereby simplifying the engineering process while maintaining system configurability.
Data Source
AI summary
The present system is a software defined manufacturing (SDM) system that integrates several technologies and methods into a system that automates the process of engineering and operating automated manufacturing systems (aka “automating automation”). In one embodiment, some or all of the below aspects of the “automating automation” system are integrated: modular, configurable, reusable manufacturing cells; computer vision systems; autocalibration systems; a recipe-based programming environment; configuration management system; production analytics; and a marketplace for sharing recipes.


