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用于全面态势感知的网络物理社会意识平台。

Cyber-Physical-Social Awareness Platform for Comprehensive Situation Awareness.

作者信息

Mirza Irfan Baig, Georgakopoulos Dimitrios, Yavari Ali

机构信息

School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

出版信息

Sensors (Basel). 2023 Jan 10;23(2):822. doi: 10.3390/s23020822.

Abstract

Cyber-physical-social computing system integrates the interactions between cyber, physical, and social spaces by fusing information from these spaces. The result of this fusion can be used to drive many applications in areas such as intelligent transportation, smart cities, and healthcare. Situation Awareness was initially used in military services to provide knowledge of what is happening in a combat zone but has been used in many other areas such as disaster mitigation. Various applications have been developed to provide situation awareness using either IoT sensors or social media information spaces and, more recently, using both IoT sensors and social media information spaces. The information from these spaces is heterogeneous and, at their intersection, is sparse. In this paper, we propose a highly scalable, novel Cyber-physical-social Awareness (CPSA) platform that provides situation awareness by using and intersecting information from both IoT sensors and social media. By combining and fusing information from both social media and IoT sensors, the CPSA platform provides more comprehensive and accurate situation awareness than any other existing solutions that rely only on data from social media and IoT sensors. The CPSA platform achieves that by semantically describing and integrating the information extracted from sensors and social media spaces and intersects this information for enriching situation awareness. The CPSA platform uses user-provided situation models to refine and intersect cyber, physical, and social information. The CPSA platform analyses social media and IoT data using pretrained machine learning models deployed in the cloud, and provides coordination between information sources and fault tolerance. The paper describes the implementation and evaluation of the CPSA platform. The evaluation of the CPSA platform is measured in terms of capabilities such as the ability to semantically describe and integrate heterogenous information, fault tolerance, and time constraints such as processing time and throughput when performing real-world experiments. The evaluation shows that the CPSA platform can reliably process and intersect with large volumes of IoT sensor and social media data to provide enhanced situation awareness.

摘要

网络物理社会计算系统通过融合来自网络、物理和社会空间的信息,集成了这些空间之间的交互。这种融合的结果可用于推动智能交通、智慧城市和医疗保健等领域的许多应用。态势感知最初用于军事服务,以提供有关作战区域正在发生的事情的知识,但现在已用于许多其他领域,如减灾。已经开发了各种应用程序,以使用物联网传感器或社交媒体信息空间来提供态势感知,最近还同时使用物联网传感器和社交媒体信息空间。来自这些空间的信息是异构的,并且在它们的交叉点处是稀疏的。在本文中,我们提出了一种高度可扩展的新型网络物理社会态势感知(CPSA)平台,该平台通过使用物联网传感器和社交媒体的信息并使其相交来提供态势感知。通过结合和融合来自社交媒体和物联网传感器的信息,CPSA平台提供了比任何仅依赖社交媒体和物联网传感器数据的现有解决方案更全面、准确的态势感知。CPSA平台通过语义描述和集成从传感器和社交媒体空间提取的信息并使这些信息相交以丰富态势感知来实现这一点。CPSA平台使用用户提供的态势模型来细化和交叉网络、物理和社会信息。CPSA平台使用部署在云端的预训练机器学习模型来分析社交媒体和物联网数据,并提供信息源之间的协调和容错能力。本文描述了CPSA平台的实现和评估。CPSA平台的评估是根据诸如语义描述和集成异构信息的能力、容错能力以及在进行实际实验时的处理时间和吞吐量等时间限制等能力来衡量的。评估表明,CPSA平台可以可靠地处理和交叉大量物联网传感器和社交媒体数据,以提供增强的态势感知。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a2c/9862340/a41aa2aa7c95/sensors-23-00822-g001.jpg

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