Smoke influence-considered fire evacuating path dynamic optimization and visualization method

Abstract

The invention discloses a smoke influence-considered fire evacuating path dynamic optimization and visualization method, which comprises the following steps: receiving fire information uploaded by a fire detector, and determining a fire occurrence position; acquiring a spatial three-dimensional geometric path network when no fire occurs in a building, and setting an obstacle node or an obstacle channel, an evacuating starting point and an evacuating ending point according to the fire occurrence position; acquiring fire smoke data and visibility information, determining a fire spreading regionaccording to the fire smoke data, and updating the type of a road network node located in the fire spreading region and the type of a channel; updating a channel equivalent length of a passable channel of the fire spreading region; acquiring optimal evacuating paths from a position for people escaping to various exits by adopting a Dijkstra algorithm according to the updated spatial three-dimensional geometric path network; and sending the optimal evacuating paths to a command center and mobile terminals of evacuated people, and returning to the step of receiving the fire information uploadedby the fire detector till all the evacuated people are evacuated successfully.

Description

technical field [0001] The invention relates to a method for obtaining a personnel evacuation route, in particular to a dynamic optimization and visualization method for a fire evacuation route based on the Dijkstra algorithm and considering the influence of fire smoke. Background technique [0002] For a long time, fire has always threatened the safety of human life and property. Therefore, when a fire breaks out in a building, how to choose a safe and effective evacuation route in a complex environment where the fire develops rapidly is an important guarantee for correctly guiding personnel evacuation and reducing casualties. . At present, many path selection methods have been proposed and applied to evacuation, but these evacuation path algorithms are mostly static path-finding methods, and it is difficult to dynamically adjust the evacuation path according to the fire spread when a fire occurs, resulting in the blindness of the evacuation command decision-making. The hy...

AI Technical Summary

Problems solved by technology

At present, many path selection methods have been proposed and applied to evacuation, but these evacuation path algorithms are mostly static path-finding methods, and it is difficult to dynamically adjust the evacuation path according to the fire spread when a fire occurs, resulting in the blindness of the evacuation command decision-making. Hysteresis also makes it impossible for trapped persons to escape successfully

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