An emergency drill scheme visual generation system based on artificial intelligence

Abstract

This invention discloses an artificial intelligence-based emergency drill visualization generation system, belonging to the technical field of data visualization. It includes a marking module, a judgment module, and an association module. The marking module marks the first and second timestamps of buildings. The judgment module determines whether to perform a display or rendering operation. The association module performs association operations based on the judgment results. This invention achieves synchronous visualization mapping between the drill process and the evolution of the disaster situation through a dual timestamp comparison mechanism. By setting a three-level state judgment logic, it achieves automatic phased switching of the disaster response. Through the sequential construction and coverage update of P-wave diffusion rings and S-wave diffusion rings, it can dynamically display the spatiotemporal diffusion process of seismic wave propagation centered on the epicenter, intuitively presenting the spatial evolution trend of the disaster over time.

Images