Factory Device Data Collection Frequency Using State-Adaptive Control
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Solution Overview
Problem
Existing methods for determining data collection frequency for devices in factories are inefficient and complex, often leading to low production efficiency, high defective rates, and device damage due to uniform collection frequencies not considering device diversity and real-time conditions.
Innovation Solution
An adaptive method and apparatus for determining data collection frequency based on application program requirements and device state information, allowing for real-time adjustments to ensure optimal data collection without interfering with device operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a uniform collection frequency is adopted for all devices, then the configuration process is simplified, but production efficiency decreases and defective rates increase
Solution Approach 1:
The patent implements dynamic collection frequency adjustment based on device state information. The system automatically adapts the collection frequency according to real-time device conditions (operating state, workload, hardware specifications) rather than using a fixed uniform frequency, thereby maintaining high productivity while reducing configuration complexity through automation.
Solution Approach 2:
The system enables devices to self-configure their data collection frequency by automatically determining optimal parameters based on their own state information and application requirements. This self-service mechanism eliminates the need for manual expert configuration while optimizing production efficiency through adaptive frequency selection.
2Measurement precision
If frequent data collection is performed, then monitoring accuracy is improved, but device damage risk and defective rate increase
Solution Approach 1:
The system dynamically adjusts collection frequency based on real-time device state information including operating state, workload, and hardware specifications. When devices are under high load or in critical states, the frequency is automatically reduced to prevent damage, while maintaining high frequency during normal operations to ensure monitoring accuracy.
Solution Approach 2:
The patent changes the collection frequency parameter adaptively based on device state information and application requirements. The system selects from multiple frequency levels (including zero frequency) according to current conditions, optimizing the balance between monitoring precision and device reliability through parameter optimization.
3Manufacturing precision
If expert engineers manually configure collection frequency, then data collection optimization is achieved, but workload and complexity increase
Solution Approach 1:
The system replaces manual expert configuration with automated self-service mechanisms. Devices automatically determine their own optimal collection frequency based on their state information and application program requirements, eliminating the need for expert engineers while maintaining optimization quality through algorithmic decision-making.
Solution Approach 2:
The system implements feedback loops where device state information is continuously monitored and used to adjust collection frequency automatically. This closed-loop control mechanism replicates expert decision-making through automated feedback processing, reducing configuration complexity while maintaining data collection optimization.
4Measurement precision
If trial-and-error adjustment of collection frequency is performed, then appropriate frequency is found, but production efficiency decreases and defective rate increases
Solution Approach 1:
The system performs preliminary determination of collection frequency based on device state information and application requirements before actual data collection begins. By pre-calculating the optimal frequency using device specifications and operational context, the system avoids trial-and-error adjustments during production, thereby maintaining both frequency accuracy and high productivity.
Data Source
AI summary
Various embodiments include a method for determining a collection frequency of data. The data are collected from a device for an application program to monitor the device. The method may include: determining a collection frequency requirement of the application program regarding the data of the device; determining state information of the device; and determining, based on the determined collection frequency requirement of the application program regarding the data of the device and the determined state information of the device, a collection frequency of data according to a preset rule.