Modular architecture of the intellectual system for solving the problems of the internet of things

Purpose of the study. The aim of the study is the formation of the modular architecture of an intelligent system for solving the problems of the Internet of things. For this, modern trends in the development of technologies are considered, among which the most significant, promising areas and events in the field of information technologies are highlighted. Among these areas, events highlighted: the introduction of Industry 4.0 technologies; use of cloud, fog computing; machine learning; cognitive approach in the field of artificial intelligence; development of cognitive computing. The main content of these areas is disclosed. In the context of the Internet of things, the modular architecture of an intelligent system is considered and its modules for solving tasks of purposeful behavior are described. As part of the development of the Internet of things, approaches to the management of innovative processes are considered. Emphasis is placed on the use of cognitive maps. With an increase in the volume of information, problems arise in making effective decisions. For this, intelligent systems focused on the use of conceptual representations and scripting concepts are considered. Materials and research methods. When solving problems within the framework of the Industry 4.0 concept (the Internet of things), new approaches and methods are required. System Industry 4.0 represents many technologies, including the creation of devices, sensors, and many protocols for their interaction. One of its main directions is the Internet of things, which represents a new step in improving the Internet. For the development of the Internet of things, fog computing is used that extends and complements cloud computing. One of the central places on the Internet of things is machine learning. A brief description of the basic methods of machine learning is given. The use of a cognitive approach in the context of understanding and using mechanisms that allow a person to decipher information about reality and organize it for comparisons, decision making and many new tasks that arise in everyday life is shown. The developing directions of cognitive computing are presented. Results. The modular architecture of an intelligent system for solving the problems of the Internet of things is proposed: modules of an intelligent system for solving the problems of the Internet of things using sensory images; intelligent system modules for solving the problems of the Internet of things using conceptual representations; intelligent system modules for solving the problems of the Internet of things using concept scenarios. Significant, promising areas and events in the field of information technology are presented and their main content is disclosed. Approaches to the management of innovative processes are considered. The use of a fuzzy cognitive map is described, which reflects the stages and factors of creating a robot vacuum cleaner that affect the life cycle. Conclusion. Using the modular architecture of an intelligent system allows you to solve the problem of targeted behavior using sensual images of the world. Such systems can be used to solve the problems of the Internet of things. Using an integrated approach to the description of reality, the intelligent system of modular architecture allows the formation of conceptual representations and conceptual scenarios. They can reduce the flow of information, which is important for the Internet of things and the Internet of everything. Description of significant, promising areas in the field of information technology, approaches to managing innovative processes gives an understanding of the development of cognitive computing.