Fire rescue path optimization method and system based on integrated multiple algorithms

Abstract

The invention discloses an optimization method and a system of fire rescue path based on integrated multiple algorithms, wherein the method comprises the following steps: S1, obtaining incident pointsthrough the internet of things; S2, according to that incident point, calculating the address of the fire brigade around the incident point through GIS information; S3, calculating the straight linedistance between the incident point and the fire station, sorting the fire stations, and recording the information of the top ten fire stations based on the short distance; according to the information of the fire brigade and based on the depth learning algorithm, several eligible fire brigade terminals are selected; S4, calculating the optimal path between the incident point and the end point ofeach fire station based on the screened end point of each fire station and the optimized ant colony algorithm; S5, selecting the minimum route length and the optimal final route from the calculated plurality of optimal paths based on the dynamic factors; the dynamic factors include traffic conditions, odd and even numbers, tolls, new incident points, cancellation of incident points, and road construction.

Description

technical field [0001] The invention relates to the field of path planning, in particular to an optimization method for fire-fighting and rescue routes based on the integration of multiple algorithms, which is suitable for fire-fighting and rescue routes in production safety accidents. Background technique [0002] The fire rescue route is an important factor and a special factor that determines the quality of solving safety production accidents. The fire rescue route changes dynamically with road condition information, road quality, traffic flow on the road, and road rules. [0003] On most platforms now, the route recommended on the map is an optimized route considering factors such as traffic jams and tolls. However, based on the specific production safety accident scene, the situation of the fire rescue team and fire trucks corresponding to the accident site were not considered. Some existing platforms are based on GIS maps, which only display medical resources, fixed ...

AI Technical Summary

Problems solved by technology

[0006] The problem in the actual on-site optimal route research is that the GIS data volume is large, and the optimization calculation performance is poor, which cannot meet the needs of users

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