Research on emergency supplies distribution in 5G network environment based on K-class mean value algorithm

In order to reduce the impact of emergencies on people's production and life, it is an important issue to study the distribution routes of emergency supplies to quickly improve the efficiency of emergency supplies distribution. At present, with the continuous development of 5G network environment, "vehicle-drone" joint delivery will continue to replace the vehicle delivery mode. In this paper By building mathematical model, using k-mean clustering algorithm This paper investigates the route problem of tandem "vehicle-drone" distribution, which improves the efficiency of emergency material distribution and effectively solves the problem of adverse effects of complex road conditions on material distribution.