Industrial Automation Test Mode for Adaptive Data Collection
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Solution Overview
Problem
Existing industrial automation systems face challenges in adaptively collecting data tailored to specific services, such as remote monitoring and performance optimization, due to the need for different sets of data for various applications.
Innovation Solution
The implementation of a test concept that allows industrial automation devices to temporarily use alternative parameter settings during a test run, enabling adaptive data collection with varying granularities and settings for different purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different parameter settings are used for different services, then data collection adaptability is improved, but device complexity increases
Solution Approach 1:
The system pre-configures multiple parameter sets corresponding to different services (remote monitoring, performance optimization, troubleshooting) before actual data collection begins. Each parameter set is prepared in advance and can be selectively activated based on the required service, avoiding the need to manually configure parameters during operation.
Solution Approach 2:
The system enables dynamic switching between different parameter sets by changing configuration parameters based on the selected service mode. This allows the same device to adapt its data collection behavior for different purposes without hardware modifications or complex reprogramming.
2Measurement precision
If detailed data collection is used for troubleshooting, then measurement precision is improved, but data transmission load increases
Solution Approach 1:
The system applies different data collection granularities to different service scenarios. For troubleshooting, detailed high-precision data collection is enabled locally at the device. For routine monitoring, less detailed data is collected. This localized adaptation of data quality ensures high measurement precision when needed while minimizing unnecessary data transmission during normal operation.
3Adaptability or versatility
If temporary parameter settings are implemented for testing, then adaptability is improved, but reliability risks increase
Solution Approach 1:
The system introduces a test mode intermediary state that acts as a buffer between permanent configurations and temporary test settings. When test mode is activated, temporary parameter sets are applied; when deactivated, the original permanent settings are restored. This intermediary mechanism prevents accidental permanent changes while allowing flexible testing.
Solution Approach 2:
The system prepares backup copies of original parameter settings before applying any temporary test configurations. This beforehand cushioning ensures that if something goes wrong during testing, the system can automatically or manually revert to the backed-up original settings, protecting against reliability risks.
Data Source
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AI summary
To provide adaptiveness to data collected on an industrial automation device, a test is used for a specific need. A set of parameter values to be used during the test are temporary and send to the industrial automation device with an indication of a test. Before the test is run, existing parameter values are backed up, and they are restored after the test.