With the continuous improvement of information society and productivity, various emerging technologies are constantly emerging in the context of computers and big data. Among them, virtual reality technology and computeraided technology have become popular research topics today. Virtual reality technology utilizes computers to establish multidimensional three-dimensional models, achieving good results in communication and reorganization of various activities from dynamic environments and data numerical analysis. This article starts from the direction of terrain survey and modeling, and uses virtual reality technology to analyze the three-dimensional structure of surface models. Using 3D mathematical modeling to build the basic features of terrain, and combining virtual reality technology to optimize the real-time display and resolution of massive data in 3D modeling. Apply virtual reality technology and computer-aided tool CAD together in the process of graphic generation and rendering. Establish an irregular three-dimensional mathematical hierarchy, generate a continuous, multi resolution visualization model, and achieve the function of dynamically transmitting terrain and landforms. Using numerical simulation 3D visualization method, using ANSYS software for numerical analysis and transmission. The ultimate goal is to build a three-dimensional visualization scene while providing users with an interactive experience. The research results indicate that virtual reality technology and computer-aided CAD tools are effective and practical in the research process of terrain 3D mathematical modeling and visualization. The numerical features also demonstrate strong interactivity and intuitiveness, which has certain promotional value.

In the proposed method, the requirements of different customer connected to the distribution system are determined and measured by customer satisfaction degree, where, the direct and indirect economic losses caused by the power quality disturbances occurring in the distribution system can be determined by the customer satisfaction degree. By the help of customer losses, a high supply quality system programming model and method are developed. Considering the compatibility between power quality disturbances caused by distribution system fault and customer requirements, maximum entropy method is used. The proposed method is validated by a test system. The results have shown that the proposed method can insure the power supply quality with appropriate cost.