本文在对已有的旅游预警系统及方法综述的基础上,提出基于多源大数据的旅游预警系统架构。构建了多维的预警指标体系,包括区域经济数据、通信及位置数据、互联网搜索数据及社交媒体数据。该框架有望为大数据时代下更加及时和准确的旅游预警提供方法和决策支持。 Based on the review of the existing tourism early-warning system and method, this paper proposes a tourism early warning system architecture based on multi-source big data. A multi-dimensional early warning indicator system was constructed, including regional economic data, communication and location data, internet search data and social media data. The framework is expected to provide methodologies and decision support for more timely and accurate travel warnings in the Big Data era.