Software and Hardware Tools for Modeling Digital Twins

Introduction. A digital twin dynamically reflects and simulates the behavior of its physical counterpart. To predict the behavior of a digital twin under certain conditions, it is necessary to create a large database and develop a software model. Artificial intelligence, smart sensors, 5G, cloud computing, VR/AR and blockchain are technologies that provide digital twins with intelligence, the ability to work constantly in real time and increased security. The purpose of the study is to demonstrate the possibilities of using digital twin technology to predict the remaining life of aircraft structures in order to ensure timely maintenance and optimize costs. Results. The paper substantiates the use of software and hardware for digital twins, which provides significant potential for optimizing processes and increasing efficiency in many industries The main hardware includes sensors and transducers: sensors for temperature, pressure, humidity and other physical parameters; cameras for visual monitoring. Computing devices: servers for real-time data processing, graphics processing units (GPUs) for processing complex models; data transmission devices: network devices for fast data transmission (5G, LoRaWAN); cloud services for data storage and synchronization (AWS, Azure). Further development of the technology is important to ensure greater accuracy and integration. Conclusions. Digital twins help improve productivity by enabling teams to collaborate in real time to accelerate and improve decision-making. Their wide range of possible applications is making them increasingly important in business and industry. The use of digital twins provides a comprehensive effect, which is manifested in reducing costs and waste, increasing productivity, improving product quality and storage conditions, as well as reducing production cycle times and lead times. Keywords: digital twins, virtual information constructs, software model, artificial intelligence.