Research on the construction of emergency logistics system based on ant colony algorithm under the new crown pneumonia epidemic

This article focuses on the deficiencies in the construction of emergency logistics and material guarantee systems that have been exposed during the prevention and control of the coronavirus epidemic. Establish an emergency logistics supply system to solve the current slow emergency response and other problems. Heavy. This paper takes the vehicle distribution problem as the background and uses the ant colony algorithm to solve the emergency logistics distribution vehicle scheduling model. On the basis of a time window, the transportation distance and cost of each node of the emergency system are considered to construct a model. According to the characteristics of the model, an ant colony algorithm solution method is designed, and an improved analysis is made for ant path selection. © 2021 IEEE.

Can artificial intelligence enable the government to respond more effectively to major public health emergencies? --Taking the prevention and control of Covid-19 in China as an example.

In recent years, public health emergencies have occurred frequently, posing a serious threat to the regional economy and the safety of people's lives and property. In particular, the outbreak of the COVID-19 novel coronavirus this year has caused serious losses to the global economy. On this basis, this article attempts to use modern advanced artificial intelligence technology and modern social science and technology to provide technical assistance and support for the prevention and control of major public health incidents, in order to improve the Chinese government's public relations capabilities and response to public health emergencies. Ability and level. This article attempts to use 3S technology closely related to artificial intelligence technology to design and establish a public health emergency response system, so as to improve the government's response and decision-making ability to respond to and deal with public health emergencies, and reduce the occurrence of emergencies. The results showed that among the 298 respondents, 145 believed that public health emergencies depend on human-to-human transmission. Most event information is acceptable, while 169 people who rely on mobile phones for information think that most of them are acceptable, and 89 people who rely on TV media for information think that most of them are acceptable. It shows that the use of artificial intelligence technology can effectively solve and prevent the further development of the situation, and at the same time improve the government's ability and level to respond to major public health emergencies, and increase the government's prestige in the eyes of the public.