Main Article Content
In the system of physical education, especially for the development of students' competencies in technical applications, it is important to develop new methodological approaches to the implementation of learning outcomes related to the possession of tools and methods of computer technology and microelectronics needed to create measurement systems based on software control digital means of automation of physical experiment. It is the development of new electronic learning tools that becomes a prerequisite for the wide and large-scale automation of experimental research of various physical processes and phenomena. This work is devoted to the methodological work necessary for students of physical specialties to study the methods and ways of creating experimental installations with computer interfaces for control, collection, transmission and processing of data. The main focus is on the analysis of the structure and methods of building a laboratory workshop for students, which explores ways to connect various types of sensors (sensors) of physical quantities to popular microcontrollers and microcomputers needed to develop automated measuring systems of physical quantities.
This article describes the principle of step-by-step modernization of physical devices with obsolete and dysfunctional electronic information conversion units using programmable microprocessor systems. We have described the methodological approaches that have developed a set of laboratory work on the use of single-board computers in the Raspberry Pi series and the Python programming language in the modernization of physical devices. In addition, the feasibility of using a connection depending on the type of measuring device is justified. The basic principles of circuitry are considered and methodical recommendations on the use of binary devices and their correct connection to GPIO Raspberry Pi pins are described. This paper describes in detail the method of modernization of the device "Oberbeck Pendulum" FPM-06. This modernization allows students to comprehensively apply the skills of the device to design the components of the device, print on a 3D printer, create a modern detection system, connect to a microcontroller, software control and experiment data processing.