Abstract: To address the issues in traditional laser cladding systems—such as reliance on manual experience for process parameters, severe data silos, and the lack of real-time monitoring and closed-loop control—this study develops an intelligent manufacturing cloud platform system based on Digital Twin (DT) technology. Firstly, a parametric virtual simulation environment is established by developing custom process components within the Siemens Plant Simulation DT platform. Secondly, real-time data interaction between Plant Simulation and the underlying PLC is achieved via the OPC UA protocol, enabling millisecond-level data acquisition from physical equipment and synchronization with the virtual model. Finally, the self-developed Industrial Internet cloud platform is integrated using the MQTT protocol, resulting in a cloud system comprising three core modules: equipment management, real-time monitoring, and historical data traceability. This research realizes full-process data integration and real-time interaction among physical equipment, the digital twin, and the cloud platform. The developed cloud platform enables remote, real-time status monitoring and visualization of the laser cladding process, thereby providing critical technical support for intelligent process optimization and cross-regional collaborative management.