With the continuous development of fusion technology, the demand for smart fusion materials is becoming more and more urgent. Smart fusion materials are materials with intelligent sensing and response capabilities, capable of acquiring and feeding back changes in the physical state of fusion in real time. Such materials can help scientists better understand material behaviour during fusion and provide important real-time data support. However, traditional experimental approaches often fail to meet the demand for smart fusion materials, and a new system is needed to achieve this goal. The system design proposed in this paper includes a smart material module and a digital twin module. The smart material module is used to acquire material data and interact data with the digital twin module. This module can acquire physical parameters of the material such as temperature, pressure and deformation in real time through sensors and other technologies. These data can be transmitted to the digital twin module for processing and analysis through wireless transmission or wired connection. The system achieves real-time sensing and prediction of fusion materials through the smart material module and the digital twin module. Such a system can help scientists better understand the behaviour of materials during fusion and provide important support for the further development of fusion technology.