INTELLIGENT SENSOR SYSTEMS FOR MONITORING AND MEASURING PROCESS PARAMETERS

The article examines the architecture and design principles of intelligent sensor-based monitoring systems used for measuring and analyzing technological parameters in industrial production. The types of primary measurement transducers, signal preprocessing methods, and artificial intelligence algorithms used for diagnostics, failure prediction, and optimization of technological operating modes are analyzed. Examples of the practical implementation of such systems are presented, and prospects for their further development within the framework of the “Industry 4.0” concept are discussed.