The Immersive Teaching and Smart Interactive Training Platform for Virtual Simulation System in Educational Reform Application

The disassembly and assembly of marine oil-separators is a core experiment in marine engineering. To overcome the limitations of traditional physical disassembly and hands-on training, this study employs the implicit three-dimensional (3D) reconstruction theory. By utilizing a large dataset of high-definition images captured from specific angles and leveraging the Laplacian operator-based deep neural network Neural-Radiance-Field algorithm, high-precision 3D models of the oil separator body and its components are rapidly constructed. Subsequently, voxel rendering is performed, and finally, the Unity 3D is utilized to develop an immersive teaching and interactive virtual disassembly system for marine oil-separators. This system features high model accuracy, immersive experiences, and intelligent interactive operations. By serving as a supplementary tool to physical disassembly, the system adopts the Virtual-Object-Simulation teaching approach, combining virtual and physical elements, online and offline methods, and integrating classroom and extracurricular activities to reform existing experimental teaching methods. The practical results demonstrate that the reform of the course not only enhances students’ understanding of the oil separator’s functional principles, structure, and disassembly procedures, but also improves their knowledge integration and application skills, thereby strengthening both experimental and classroom teaching effectiveness.