Система вібромоніторингу ДВЗ маломірних суден на базі Arduino

Abstract

The problem of current monitoring of the state of an internal combustion engine is especially relevant for water transport. Usually, in complex systems for monitoring the state of the cylinder-piston group (CPG) of cargo ships, many indicator indicators are used, such as temperature, pressure, vibration. For small boats, such a complex system with integrated sensors is redundant. The purpose of this study is to develop a system for vibration monitoring of the state of internal combustion engines of small vessels based on the open-source platform Arduino Uno with data transfer to cloud storage. In the article, the authors have developed a connection diagram and software for a vibration monitoring system for internal combustion engines of small vessels. The theoretical basis of the developed system is based on the FFT analysis technique based on the fast Fourier transform. The developed design is based on the Arduino Uno microcircuit. The data transfer takes place using the ESP8266 Wi-Fi module for real-time output on the Django server and storage in Google Sheets. The choice of such a system is due both to the need for the existence of a system for the current display of indicator parameters with the establishment of the nature of malfunctions and signaling of critical operating modes, and the need for the accumulation of scientific data for researching the operating mode of the engine. It will be useful for scientists and designers of ICEs of small vessels. It has been established that the use of the modular Arduino system will make it possible to vary the properties of the vibration monitoring system within a wide range by using various types of sensors (KY-038 and LM393). The method of data transmission of the vibration monitoring system at the software level has been improved by using software blocks from three open-source projects based on Arduino. The developed scheme can be developed for use in vehicles, as well as monitoring of other types of engines. This can become the basis for the accumulation of data, which will make it possible to more accurately diagnose deviations in the operation of the internal combustion engine of small vessels based on general statistics, and not only data from one engine, as in similar systems for cargo ships.