In recent years, the virtual stage background has become increasingly popular in the stage design of large-scale art evenings as well as in dance performances. It deftly blends the form of dance beauty with the content of dance performance, creating an atmosphere that not only sets the scene but also expands the stage space and enhances the artistic expression of dance. This paper focuses on the design of stage performance art using 3D modeling and MEC (mobile edge computing) technology. The data fusion method of multi-Kinect joints is researched and realized using 3DMAX to complete the modeling and virtual design of a 3D virtual stage scene. The performance scheme is created by analyzing music features with a computer, designing lighting actions, and matching music and lighting actions. Finally, it shows how DDLS (distributed deep learning shunting) configuration affects convergence performance as well as how model setting affects the diversion scheme.