【目的/意義】結合網絡輿情應用物聯網技術進行突發事件情報采集,既可以保證突發事件情報的正確性,又不失其豐富性。【方法/過程】構建了物聯網驅動的突發事件網絡輿情驗證機制,并以此構建了突發事件的物聯網情報源。針對該類情報源,研究了基于Zig Bee協議的物聯網情報采集的實現方法,詳細描述了物聯網的搭建方案;其次,構建了基于Flume、Kafka和Storm的物聯網情報大數據處理框架,探討了該框架的實時分析方法;最后,針對采集到的離線文件,構建了基于Spark的離線分析框架,并描述了其應用方法。【結果/結論】應用本文設計的框架,可以搭建突發事件的物聯網情報分析平臺,可為突發事件的應急管理提供一種新的方法。

【Purpose/significance】Applying Internet of Things technology to do emergency intelligence collection combing of internet public opinion could ensure the validity and richness of the emergency intelligence.【Method/process】Firstly,constructed the verification mechanism of emergency internet public opinion driven by Internet of Things, and constructede mergency intelligence sources of Internet of Things. For the intelligence sources, it studied the implementation method of emergency intelligence collected by Internet of Things based on the Zig Bee protocol, described the constructing method of Internet of Things in detail. Secondly, it constructed the big data processing framework for Internet of Things intelligence base on Flume, Kafka and Storm, and discussed the framework’s real time analysis methodology. Finally, aiming at thegathered offline file, it constructed the offline analysis framework based on Spark, and described its’ application method.【Result/conclusion】Applying the framework designed by the paper, the Internet of Things intelligence analysis platform for emergency could be built, it could provide a new method for emergency management.