Взаимозависимость автоматизации технологической линии от коэффициента искусственного интеллекта модульного оборудования

Abstract

The solution to the automation problems of technological lines depends on the level of artificial intelligence of the equipment that is part of them and the development of digital technologies for managing technological operations. (Research purpose) The research purpose is in studying the theoretical foundations of building human intelligence and its impact on the development of automation of technological lines at the present stage through the formation of artificial intelligence of modular equipment and its adaptation to control systems. The article shows the original part of the methodology for achieving the goal that is based on the development of determining the artificial intelligence coefficient for modular equipment of machine-building enterprises when choosing it for the development of technological lines. (Materials and methods) The article presents the review of research, available scientific materials on the structure of human intelligence, artificial neural networks, the possibility of their use in the development of an electronic computer program, and the intelligence coefficient for the choice of modular equipment in the market of engineering products. Authors studied the theoretical foundations of building human intelligence. The higher the intelligence of a person, the more interested he is in creating equipment and machines based on complex designs and technologies that help him solve the problems of producing that are in demand by society. The effectiveness of this approach is based on the three-dimensional measurement of human intelligence. (Results and discussion) The article presents the interdependence of the automation of the technological line during its development and assembly from the intellectual activity of a person in choosing modular equipment based on its intelligence level coefficient. (Conclusions) The modular equipment used in the assembly of the technological line, if it meets the modern requirements of digitalization, can be combined under the control of artificial intelligence based on artificial neural networks to solve a specific task of automating the technological line.