在线机票预订网站上的用户查询量变化反应了民航市场需求的变化.通过对用户在线查询大数据的分析,可以及时准确地发现异常的民航需求,有利于机票代理及航空公司做出快速的市场反应.本文提出了一种新颖的民航异常需求发现方法,基于不同航线的用户查询量时间序列,并利用全国航线网络,从网络整体而非单条航线的视角来检测民航需求异常.基于某在线订票网站的真实查询数据集进行了实验,表明本文提出的方法能够有效地从用户查询行为记录中及时发现民航异常需求. The change of user inquires on the online ticket booking website reflects the change of the demand of civil aviation market.By analyzing the big data of online inquiry of users, the abnormal civil aviation demand can be found in time and accurately, which is good for ticket agency and airlines to make fast market Reaction.This paper presents a novel method to detect the abnormal demand of civil aviation, which detects the demand of civil aviation anomalies based on the user query time series of different routes and using the national route network from the perspective of the network as a whole but not a single route. The real querying data set of ticket website has been tested, which shows that the method proposed in this paper can find out the abnormal demand of civil aviation in time from the query records of users.