Unmanned aerial vehicle emergency material distribution method considering hot smoke risk and time-limited rescue utility

Abstract

The application discloses an unmanned aerial vehicle emergency material distribution method considering hot smoke risk and time-effect rescue utility. The application considers two factors of dynamic hot smoke risk and time-effect rescue utility, respectively constructs dynamic hot smoke risk accumulation minimization and time-effect rescue utility maximization target functions, and converts the double target into a single target optimization model by using marginal equilibrium theory. The single target optimization model is solved, Chebyshev chaos mapping is used to generate initial population position, adaptive search coefficient is calculated, first-order gradient and Hessian matrix are used to update the position of each individual, meanwhile, a sine-cosine disturbance mechanism is introduced to enhance the flexibility of the search direction, a trap avoidance operator is introduced, the updated individual position is introduced into random disturbance, and finally the individual is updated and the optimal solution is output. The distribution path of the application has lower risk, higher rescue utility and faster convergence speed, and can provide reference for unmanned aerial vehicle emergency material distribution in mountain fire.

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