A lora-based intelligent evacuation method for commercial complexes

Abstract

The invention discloses a commercial complex intelligent evacuation method based on LORA. The method comprises the steps of 1, arranging a commercial complex intelligent evacuation system; 2, collecting fire information; 3, judging whether a fire occurs in the commercial complex or not; 4, generating a road network; 5, determining an optimal evacuation path; 6, the commercial complex intelligent evacuation system assisting in personnel evacuation; and 7, updating the road network until all people are safely evacuated. According to the invention, by utilizing the advantages of long transmissiondistance, simple networking and low price of the LORA technology, a commercial complex intelligent evacuation system is constructed; by combining with a load balance principle during evacuation pathplanning, and taking an area with personnel as a target group, the fastest safe evacuation path is generated according to the fire scene information, meanwhile, the fire scene internal information isaccurately obtained through the fire information monitoring module, the road network and the optimal evacuation path are optimized and updated, the number of people at each emergency exit is evenly distributed, the utilization rate of each emergency exit is increased, and the personnel evacuation speed is increased from personnel diversion.

Description

technical field [0001] The invention belongs to the technical field of intelligent evacuation of commercial complexes, and in particular relates to a method for intelligent evacuation of commercial complexes based on LORA. Background technique [0002] With the development of urbanization, large-scale commercial complexes have gradually developed, with complex internal layouts, large fire loads, and high population density. The pointing system becomes critical. The existing intelligent evacuation system needs to input the location codes of all the facilities connected to it. Under the premise of a large number of work, errors will inevitably occur; the real-time information of the fire scene cannot be obtained and responded in time; the evacuation is based on a single person. Goals, planning evacuation routes, too many target groups, leading to problems such as slow route planning and confusion; one-sided pursuit of the fastest evacuation route, resulting in low utilization...

AI Technical Summary

Problems solved by technology

The existing intelligent evacuation system needs to input the location codes of all the facilities connected to it. Under the premise of a large number of work, errors will inevitably occur; the real-time information of the fire scene cannot be obtained and responded in time; the evacuation is based on a single person. Goals, plan evacuation routes, too many target groups lead to slow path planning, confusion and other problems; one-sided pursuit of the fastest evacuation route leads to low utilization rate of each safety exit, people are crowded at some safety exits, and the speed of evacuation is slow

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