Aerial Disaster Relief Response System Research
In order to solve the problem of medical supply in the affected areas, we designed a disaster response system to provide medical package transportation and related route detection for five regions. To solve the first problem, we built two optimization models for 3D boxing. By considering the size of the medical package and cargo bay, the first model of the number of medical packages required in the affected area was established. Solve the distribution plan of medical package by MATLAB. Then, by considering the size of ISO containers and shipping containers and the number of cargo containers, a three-dimensional packing optimization model is established. Solve in MATLAB to determine the type and number of drones needed. This resulted in a complete disaster response system consisting of a drone fleet and a medical packag To solve the second problem, we use cluster analysis. First, the five disaster areas were classified into three categories to determine the three best cluster centers as the best locations for the three ISO containers. Then, the Euclidean distance was taken as the similarity between the two points, and the three optimal positions were obtained by K-means clustering algorithm as x6=(18.45,-66.40),x7=(18.40,-66.16),x8=(18.27,-68.84)Finally, according to the demand characteristics of the disaster area and the video reconnaissance capability of the drone, the corresponding ISO container was allocated. To solve the third problem, we solved the transportation path in two stages. In both stages, the 0-1 programming model was established with the shortest time as the objective function, and the transportation path, drone type and quantity of each aggregation center point to the disaster point were obtained by MATLAB. In the second stage, the remaining materials in the first-stage affected area were allocated to the affected areas that do not meet the demand. Thus, the delivery route and schedule of the cargo container payload package configuration were designed. After inspection, the flight path of the first problem covered all the railways and highways, that is, the flight path as the second problem.
Three-dimensional packing Nonlinear optimization model K-means clustering algorithm 0-1 programming model MATLAB
Hongyang He Zhenlin Chen
Electronic and Information Engineering, Guangdong Normal University of Technology, Guangzhou, 51000, China
国际会议
呼和浩特
英文
227-231
2019-07-27（万方平台首次上网日期，不代表论文的发表时间）