IoT Collection Parameter Switching Without AI Model Retraining
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Solution Overview
Problem
Changes in configuration parameters of IoT devices used for data collection in manufacturing processes lead to reduced testing efficiency and inaccurate analysis results, necessitating time-consuming retraining of AI models.
Innovation Solution
A method to determine and adjust device configuration parameters based on collected data, using a configuration parameter categorization model to identify changes and send preset parameters to optimize device settings without retraining the AI models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If device configuration parameters are changed to adapt to different manufacturing processes, then device adaptability is improved, but content analysis accuracy deteriorates
Solution Approach 1:
The system pre-establishes multiple preset configuration parameters corresponding to different manufacturing processes before actual operation. When a process change occurs, the system directly applies the pre-configured parameters rather than requiring real-time adjustment or model retraining, thus maintaining both adaptability and accuracy.
Solution Approach 2:
The system changes device configuration parameters by selecting from pre-defined preset values rather than arbitrary adjustments. This ensures that parameter changes maintain the optimal configuration relationship with the AI model, preserving content analysis accuracy while achieving adaptability to different processes.
2Measurement precision
If AI model retraining is performed to maintain analysis accuracy after parameter changes, then content analysis accuracy is improved, but productivity deteriorates
Solution Approach 1:
Multiple preset configuration parameters are pre-configured and stored in the system before actual operation. When process changes occur, the system directly applies the appropriate preset parameters without requiring AI model retraining, thus maintaining accuracy while avoiding productivity loss.
Solution Approach 2:
The system uses preset configuration parameters as templates or copies that can be directly applied to different manufacturing processes. Instead of retraining the AI model for each process change, the system copies and applies the appropriate preset parameters, significantly improving productivity while maintaining accuracy.
3Adaptability or versatility
If manual intervention is used to adjust device parameters, then device configuration flexibility is improved, but loss of time increases
Solution Approach 1:
The system automatically detects manufacturing process changes and selects the appropriate preset configuration parameters without requiring manual intervention. The automated parameter adjustment maintains configuration flexibility while eliminating the time loss associated with manual parameter tuning.
Solution Approach 2:
The system continuously monitors manufacturing process parameters and automatically adjusts device configuration parameters based on feedback from the process state. This closed-loop control maintains flexibility while eliminating manual adjustment time by using real-time process feedback to trigger automatic parameter selection.
Data Source
AI summary
The present application discloses a method and apparatus for device configuration parameter processing, a method and apparatus for data analysis, a computing device, a computer-readable storage medium and a computer program product. The method for device configuration parameter processing includes: acquiring collection data of a collection device located at a target position, wherein the collection data is configured to be input into a content analysis model for the target position so as to obtain a content analysis result of the collection data, determining, based on the collection data, whether a current configuration parameter of the collection device has changed, sending, in response to the current configuration parameter of the collection device having changed, a preset configuration parameter for the target position to the collection device so as to adjust the current configuration parameter of the collection device based on the preset configuration parameter.