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作 者:Zhiming Ding Shan Jiang Xinrun Xu Yanbo Han
机构地区:[1]Institute of Software Chinese Academy of Sciences,Beijing 100190,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]North China University of Technology,Beijing 100144,China [4]Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data,Beijing,China
出 处:《Journal of Safety Science and Resilience》2022年第2期136-152,共17页安全科学与韧性(英文)
基 金:the National Natural Science Foundation of China(Grant Nos.61703013 and 91646201);the National Key R&D Program of China(973 Program,No.2017YFC0803300).
摘 要:In recent years, undesirable disasters attacked the cities frequently, leaving heavy casualties and serious economiclosses. Meanwhile, disaster detection based on the Internet of Things(IoT) has become a hot spot that benefitedfrom the established development of smart city construction. And the IoT is visibly sensitive to the managementand monitoring of disasters, but massive amounts of monitoring data have brought huge challenges to datastorage and data analysis. This article develops a new and much more general framework for disaster emergencymanagement under the IoT environment. The framework is a bottom-up integration of highly scalable Raw DataStorages(RD-Stores) technology, hybrid indexing and queries technology, and machine learning technology foremergency disasters. Experimental results show that hybrid index and query technology have better performanceunder the condition of supporting multi-modal retrieval, and providing a better solution to offer real-time retrievalfor the massive sensor sampling data in the IoT. In addition, further works to evaluate the top-level sub-applicationsystem in this framework were performed based on the GPS trajectory data of 35,000 Beijing taxis and thevolumetric ground truth data of 7,500 images. The results show that the framework has desirable scalability andhigher utility.
关 键 词:Disaster data management IOT Disaster detection Big data Artificial intelligence
分 类 号:TP311[自动化与计算机技术—计算机软件与理论] X4[自动化与计算机技术—计算机科学与技术]
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