智慧校园多源数据融合动态感知方案探索OA
Exploration of a Dynamic Perception Solution for Multi-Source Data Fusion in Smart Campuses
本文提出一种基于多源数据融合的动态感知方案.构建包含全域感知、融合分析、智能应用及安全闭环的四层技术架构,通过部署终端设备与物联网传感器,结合分布式存储与流式计算,及集成规则引擎与AI算法来实现异常行为的亚秒级检测与联动响应.实际部署后的历史统计结果显示,本方案可视化威胁检出率有一定的提升,安全事件响应时间也有所缩短,可提升校园治理的水平与效率.
This article proposes a dynamic perception scheme based on multi-source data fusion.Build a four layer technical architecture that includes global perception,fusion analysis,intelligent applications,and secure closed loops.By deploying terminal devices and IoT sensors,combining distributed storage and streaming computing,and integrating rule engines and AI algorithms,sub second level detection and linkage response of abnormal behavior can be achieved.The historical statistical results after actual deployment show that the visualization threat detection rate of this solution has been improved to a certain extent,and the response time to security incidents has also been shortened,which can improve the level and efficiency of campus governance.
黄宏杰
福建农业职业技术学院信息工程学院 福州 350119
信息技术与安全科学
多源数据动态感知融合分析
Multi-Source DataDynamic PerceptionFusion Analysis
《福建电脑》 2026 (3)
43-47,5
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