title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° STM32F750Z Ñ Ð½Ð°Ð±Ð¾ÑÐ¾Ð¼ 3-Ð¾ÑÐµÐ²ÑÑ ÑÐ¸ÑÑÐ¾Ð²ÑÑ Ð³ÐµÐ¾Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÑ Ð´Ð°ÑÑÐ¸ÐºÐ¾Ð² BMM150 Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ ÑÑÐµÐ´ÑÑÐ²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Application of the STM32F750Z microcontroller with a set of 3-axis digital geomagnetic sensors BMM150 for the analysis of the magnetic field of vehicles
Creators: name: ÐÐ¾ÑÐ·ÐµÐµÐ², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ðµ Ð¿Ð¾Ð»Ðµ
ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ðµ ÑÑÐµÐ´ÑÑÐ²Ð¾
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Ð³ÐµÐ¾Ð¼Ð°Ð³Ð½Ð¸ÑÐ½ÑÐ¹ Ð´Ð°ÑÑÐ¸Ðº
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ
magnetic field
vehicle
microcontroller
geomagnetic sensor
classification
machine learning
software

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð°, Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¾Ð± Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ, Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ ÑÑÐµÐ´ÑÑÐ². Ð ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¿ÑÐ°ÐºÑÐ¸ÐºÐ¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿Ð¾Ð´Ð¾Ð±Ð½ÑÑ ÑÑÑÑÐ¾Ð¹ÑÑÐ², Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼Ð¾Ð³Ð¾ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° Ð¸ Ð´Ð°ÑÑÐ¸ÐºÐ° Ð¼Ð°Ð³Ð½Ð¸ÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾Ð»Ñ. Ð¢Ð°ÐºÐ¶Ðµ Ð¾Ð¿Ð¸ÑÑÐ²Ð°ÑÑÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐµ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÐ°ÑÑÐ¸, ÑÐ°Ð±Ð¾ÑÑ Ñ ÐºÐ¾Ð½ÑÐ¸Ð³ÑÑÐ°ÑÐ¸ÐµÐ¹ Ð¿Ð¾ÑÑÐ¾Ð² ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð° Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÑ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð² Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ» Ð¾Ð¿Ð¸ÑÐ°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð½Ð° ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½ÑÑ Ð¼Ð¾ÑÐ½Ð¾ÑÑÑÑ Ð¼Ð¸ÐºÑÐ¾ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° STM32. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð¾ÑÐºÑÑÑÑÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ ÑÑÐµÐ´ÑÑÐ²Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº STM32CUBE Ð¸ STM32CUBE.AI. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Keil uVision.
description: This work is devoted to the development of a device designed to obtain data on changes in the magnetic field for further classification of vehicles. The paper examines the existing practices of implementing such devices, provides an overview of the microcontroller and magnetic field sensor used. It also describes possible ways to solve the classification problem, a description of the software part, working with the configuration of the device ports and the tools used. An algorithm for implementing machine learning models on the own capacities of the STM32 microcontroller was also described. Open educational resources and information search and analysis programs were used. Development automation tools such as STM32CUBE and STM32CUBE.AI. Keil uVision software has been applied.