<p>To efficiently monitor the real-time operational states of workshop equipment, this paper proposes a real-time monitoring method based on digital twin integration. The method incorporates the concepts of multidisciplinary and multiscale approaches. The multidisciplinary aspect refers to integrating different fields of knowledge and technologies to provide a comprehensive monitoring system, while the multiscale approach refers to monitoring equipment and system states at different levels, from individual devices to entire production lines. In this work, a digital twin system is developed to acquire and process real-time data from physical equipment, ensuring synchronization between virtual and real devices. A flexible data framework is designed to connect various equipment and systems, enabling seamless data collection and transmission. Additionally, dynamic monitoring algorithms are developed to track robotic movements and machining processes on the production line in real time. The integration of data analysis and visualization techniques further enhances the effectiveness of monitoring. The proposed method is validated through a case study of a flexible automated stamping production line, demonstrating its effectiveness in providing real-time, accurate monitoring support for workshop production.&#xa0;</p>