INTELLIGENT CONTROL SYSTEM FOR PRODUCT QUALITY

The article discusses the development of a structural and functional model of an intelligent product quality control system in the visible and infrared ranges at various stages of the production process, taking into account internal and external factors affecting the processes. The developed system has the ability to select sub-ranges and measurement channels in the visible and infrared range, organize monitoring of physical parameters such as temperature, viscosity, pressure etc. in stages, and make prompt correct decisions based on operational processing and analysis. To solve this problem, the control system must participate as a component of artificial intelligence based on modern technologies, have the ability to self-monitor and correct when monitoring product quality, and intelligent production must be able to participate as an organizer of the intellectual industry based on digital technologies. The artificial intelligence system under consideration combines several types of intelligent systems, such as an intelligent measurement and control system, an intelligent information retrieval system, calculation and logical systems, expert systems, and fuzzy logic and allows to improve product quality, as well as indicators such as process safety and reliability, by analyzing more complex data based on supporting data and database and making better and faster decisions.