INTELLIGENT PRODUCT LIFECYCLE MONITORING BASED ON ARTIFICIAL INTELLIGENCE
Keywords:
product life cycle, monitoring system, artificial intelligence, intelligent system, decision making, decision support system (DSS), Internet of Things (IoT), Industry 4.0.Abstract
With the rapid development of digital technologies and the transition to Industry 4.0, the development of integrated product lifecycle monitoring systems at industrial enterprises is becoming increasingly important. This article examines the theoretical and practical aspects of developing such systems, integrating artificial intelligence methods to create an intelligent decision-making system. A systematic approach is proposed, incorporating the use of Internet of Things technologies, cloud computing, and big data analytics, enabling continuous monitoring of product parameters and technological processes. Machine learning, neural networks, and fuzzy logic methods used for data analysis and product condition prediction are discussed.
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