DEVELOPMENT OF A PROTOTYPE OF INTELLIGENT MICROCONTROLLER ARCHITECTURE WHEN IMPLEMENTING INTERNET OF THINGS APPLICATIONS

Abstract

Background. Within the framework of the modern paradigm of the digital transformation of society and the rapid growth of the number of digital technologies, the introduction of the Internet of things (IoT) occurs in all spheres of human life. These technologies are used in the industrial sector of the economy and in private life. The development and implementation of the Internet of Things is a paradigm that consists of the development of interconnected technical objects using various communication methods and protocols, with data transferred to a cloud center. This technology has a number of limitations: in the form of memory capacity, electrical charge and low processor efficiency. Second limitation: lack of machine learning algorithms. In this regard, new methods and engineering approaches are required to solve this problem. Purpose of the article – development of a microcontroller prototype architecture for monitoring the technical condition of information, measuring and control systems (IMS) based on the concept of the Internet of Things and machine learning algorithms for processing multi-threaded data sources. Materials and methods: the object of research is the architecture of the Internet of Things microcontroller. To solve the problem, a systematic approach method was used. Results. An intelligent microcontroller architecture has been developed using a gateway bus, as well as using MEMS technology and machine learning algorithms. Conclusions. This approach allows you to process multi-threaded data in a dynamic mode using machine learning algorithms, used in the Internet of Things paradigm to develop algorithms for monitoring the technical condition of automated control systems.

Keywords

• internet of things applications
• information-measuring and control systems
• machine learning algorithms
• intelligent microcontroller architecture