大数据背景下出入境旅客信息预检工作探究

Research on the Pre-inspection of Entry-exit Passenger Information Based on Big Data

随着大数据和人工智能等信息技术的发展和深度融合,以信息技术和数据驱动的智慧边检建设逐步推进,出入境旅客信息预检工作成为重要组成部分。目前,出入境旅客信息预检工作仍存在数据融合共享度低、预警研判能力不足和数据驱动决策较少等问题,亟须在提高数据集成能力、深入开展数据挖掘和坚持数据驱动决策等方面予以优化。

With the construction and in-depth integration of information technologies such as big data and artificial intelligence,the construction of intelligent immigration inspection driven by information technology and data is gradually advancing.The information forecasting of exit-entry passengers has become an important part of the construction.At present,in the pre-inspection process of inbound and outbound passenger information,there are still problems such as low data integration and sharing,insufficient early warning research and judgment capabilities,and less data-driven decision-making.Therefore,the future information pre-inspection work needs to be optimized in terms of improving data integration capabilities,in-depth data mining,and data support decision-making.