Dynamic Loading and Rendering Method for Large-Scale Power Grid Spatial Data

The scale of power grid equipment is huge, and the large amount of power grid spatial data is very likely to cause data display performance degradation. Therefore, the smooth display of power grid spatial data under large data volume has become a key technical problem to be solved in the construction of grid GIS applications. For the grid spatial data and its application characteristics, a large-scale grid spatial data dynamic loading and rendering method is proposed. The method uses MongoDB database to store grid spatial data; controls front-end data loading through grid resource data display rules and line data hierarchical compression to reduce network transmission and front-end drawing pressure; dynamically schedules data according to viewport range and establishes request cache and data cache on the client side to improve device rendering efficiency; uses HTML5 technology for data multi-threaded parsing of data and real-time drawing of device symbols. It has been proven that this method can significantly improve the fluency, interactivity and flexibility of existing grid GIS applications in Web graphics display in large data volume scenarios, and greatly improve the user experience.