Workpiece Checking With AI Data Sets for Process Fault Analysis
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Solution Overview
Problem
Conventional methods for checking workpieces during or after manufacture do not allow for a meaningful and/or 100% reliable conclusion regarding systematic production faults, hindering efficient quality optimization and process optimization.
Innovation Solution
A method and facility that utilize artificial intelligence to determine workpiece and facility parameters, create workpiece-specific data sets, and implement process optimizations, including automatic quality verification and post-treatment, using sensors and simulations to ensure adherence to predefined quality criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional checking methods are used to inspect workpieces, then checking can be performed during or after manufacture, but meaningful and reliable conclusions about systematic production faults cannot be drawn
Solution Approach 1:
The patent creates workpiece-specific data sets during the manufacturing process that contain information about systematic production faults before final inspection. This preliminary data collection and processing enables reliable fault detection by establishing baseline information about production conditions, workpiece characteristics, and process parameters that can be correlated with detected defects.
Solution Approach 2:
The patent implements a feedback mechanism where workpiece-specific data sets are processed to generate information about systematic production faults, which then feeds back into the manufacturing process. This closed-loop feedback enables continuous improvement and reliable detection of production faults by comparing actual workpiece data against expected patterns and historical data.
2Productivity
If manual checking is performed, then workpieces can be inspected, but quality optimization and process optimization are hindered
Solution Approach 1:
The patent replaces manual checking with an automated system that uses sensors, data processing, and workpiece-specific data sets to inspect workpieces. This substitution of mechanical/manual inspection with automated sensing and information processing enables both high productivity and high manufacturing precision by eliminating human limitations in speed and accuracy.
Solution Approach 2:
The patent transforms physical workpiece properties and process parameters into measurable data that can be processed automatically. By changing the state of workpiece information from physical characteristics to digital parameters in workpiece-specific data sets, the system enables automated quality assessment and optimization while maintaining high manufacturing precision.
3Reliability
If automated checking with data processing is implemented, then workpiece-specific data sets can be created and processed, but system complexity increases
Solution Approach 1:
The patent divides the checking system into modular components that create and process workpiece-specific data sets independently for each workpiece. This segmentation allows the complex system to be broken down into manageable units that can be processed separately, reducing overall system complexity while maintaining high reliability through distributed data collection and processing.
Data Source
AI summary
In order to provide a checking facility for checking workpieces and also a treatment facility for treating workpieces, which enable efficient and reliable quality optimisation, it is proposed that workpiece parameters are detected, for example by means of an automatic checking station, and a workpiece-specific data set is created on this basis and/or from facility parameters.