Intelligent Analysis of Sensor Data Based on SBCs to Monitor the Operating Status of Devices
Abstract
This article presents an advanced computing system integrating a microprocessor and a microcontroller to analyze signals from measuring transducers. AI-based intelligent algorithms were implemented to classify the operational state of the device. The applied architecture is based on the Debian operating system (on the microprocessor side) and the Zephyr RTOS real-time operating system (on the microcontroller side). As part of the research, various intelligent models were tested, analyzing their limitations and the level of implementation difficulty. The use of the Python language and a Colab cloud environment enabled a transparent creation of the model structure and their efficient integration with the proposed hardware system.
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