AUTOMATED TICKER-SYSTEM OF REMOTE DISPLAY OF DATA FOR LED-BOARD IN BENCH TESTS OF INTERNAL COMBUSTION ENGINE

Abstract

The problem of developing adaptive information output systems, synchronized with the process of the experiment is solved by existing methods of concentration and interactive presentation of information. The purpose of this study is to develop an LED-board with an automated ticker-system for prompt display of information during bench tests of internal combustion engines. The developed design is based on the MAX7219 microcircuit. Data transfer occurs using the UART interface via the Bluetooth module HC-06. The driver is controlled via the SPI interface (mode 0). The choice of LED display is due to the possibility of using monochromatic light emitting diodes as point sources of radiation with a wide range of options for regulation of luminescence parameters. This is achieved when using high-performance LED clusters Pure-Green (525 nm), Ultra-Red (660 nm), Blue (470 nm). In the article the authors developed a constructive scheme of LED board for displaying the data of bench tests of internal combustion engines. The principle of the moving series (ticker), which is widely used in stock exchange analytics and advertising, is informative enough to reproduce the results of the internal combustion engine test bench tests. It has been determined that the application of the Arduino modular system will allow to vary the properties of the data display system to a wide extent and, when developing special software, to conduct test analytics using adaptive neural networks. The method of analysis and display of bench test data of an internal combustion engine has been improved. The developed scheme can be developed for holographic illumination of critical load zones on the surface of the structure under study. The slightly lower interactivity of holograms compared to augmented reality makes their supporting role more appropriate. It can be the basis for the formation on such a surface of markers for interactive augmented reality systems.