Production Cell Troubleshooting Using Adaptive Knowledge Models
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Solution Overview
Problem
Existing technologies do not enable operators of production cells to quickly and reliably identify the most probable technical cause or solution for malfunctions, as they rely on fixed schemes that do not account for the specific composition and operation of each production cell.
Innovation Solution
A device and computer-implemented method that utilizes an electronic computing unit, machine interface, and knowledge model to analyze operator observations and identify the most probable technical cause or solution for malfunctions in a specific production cell, considering the unique composition and operation of that cell.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed schemes for possible technical causes or solutions are used, then the device complexity is reduced, but the reliability of finding the most probable technical cause or solution deteriorates
Solution Approach 1:
The system dynamically changes parameters by adapting the troubleshooting scheme to match the specific production cell configuration. The knowledge model stores multiple possible technical causes and solutions with associated probabilities, allowing the system to select and prioritize causes based on the actual objects present in the production cell, thereby improving reliability without requiring complex custom development for each cell
Solution Approach 2:
The system uses a knowledge model that copies and adapts general troubleshooting patterns to specific production cell instances. Instead of creating entirely new troubleshooting schemes for each cell, the system replicates and customizes existing knowledge models based on the specific objects and configurations present, reducing complexity while maintaining reliability
2Ease of operation
If fixed schemes for possible technical causes or solutions are used, then the ease of operation is improved, but the adaptability to specific production cell compositions deteriorates
Solution Approach 1:
The troubleshooting system transitions from static fixed schemes to dynamic adaptive schemes. The knowledge model is configured based on the specific production cell objects identified by the operator, allowing the system to dynamically adjust which technical causes and solutions are presented and their probability rankings, thereby maintaining ease of operation while improving adaptability
Solution Approach 2:
The system applies local quality by customizing the troubleshooting knowledge model for each specific production cell configuration. Instead of using a uniform approach for all cells, the system tailors the knowledge model to match the specific objects, machines, and processes present in each production cell, improving adaptability while keeping the interface and operation simple for the user
3Adaptability or versatility
If customized knowledge models are created for each production cell, then the adaptability to specific production cell issues is improved, but the device complexity increases
Solution Approach 1:
The system performs preliminary action by pre-configuring knowledge models with multiple possible technical causes and solutions before actual troubleshooting occurs. The knowledge models are prepared in advance with probability rankings and object associations, so that during operation, the system only needs to match the specific production cell objects to the pre-configured knowledge, reducing the complexity of real-time processing while maintaining high adaptability
Data Source
AI summary
A device and method are provided for finding possible technical causes of or solutions for malfunctions of a specific production cell which is one of a plurality of production cells. The specific production cell is built of a plurality of different objects and contains at least one cyclically operating shaping machine, and a computer program to configured to carry out such a method.