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智慧城市灾难场景中的态势感知智能推理

Situation aware intelligent reasoning during disaster situation in smart cities.

作者信息

Saleem Kiran, Akhtar Salwa Muhammad, Nazir Makia, Almadhor Ahmad S, Zikria Yousaf Bin, Ahmad Rana Zeeshan, Kim Sung Won

机构信息

Department of Software Engineering, University of Lahore, Lahore, Pakistan.

College of Computer and Information Sciences, Jouf University, Sakakah, Saudi Arabia.

出版信息

Front Psychol. 2022 Aug 8;13:970789. doi: 10.3389/fpsyg.2022.970789. eCollection 2022.

DOI:10.3389/fpsyg.2022.970789
PMID:36003113
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9394515/
Abstract

Investigating prior methodologies, it has come to our knowledge that in smart cities, a disaster management system needs an autonomous reasoning mechanism to efficiently enhance the situation awareness of disaster sites and reduce its after-effects. Disasters are unavoidable events that occur at anytime and anywhere. Timely response to hazardous situations can save countless lives. Therefore, this paper introduces a multi-agent system (MAS) with a situation-awareness method utilizing NB-IoT, cyan industrial Internet of things (IIOT), and edge intelligence to have efficient energy, optimistic planning, range flexibility, and handle the situation promptly. We introduce the belief-desire-intention (BDI) reasoning mechanism in a MAS to enhance the ability to have disaster information when an event occurs and perform an intelligent reasoning mechanism to act efficiently in a dynamic environment. Moreover, we illustrate the framework using a case study to determine the working of the proposed system. We develop ontology and a prototype model to demonstrate the scalability of our proposed system.

摘要

在研究先前的方法时，我们了解到在智慧城市中，灾害管理系统需要一种自主推理机制，以有效地增强对灾害现场的态势感知并减少其后续影响。灾害是随时随地都可能发生的不可避免的事件。对危险情况的及时响应可以挽救无数生命。因此，本文介绍了一种多智能体系统（MAS），该系统采用一种态势感知方法，利用窄带物联网（NB-IoT）、工业互联网（IIoT）和边缘智能，以实现高效能源、优化规划、范围灵活性，并能迅速处理情况。我们在多智能体系统中引入信念-愿望-意图（BDI）推理机制，以增强在事件发生时获取灾害信息的能力，并执行智能推理机制，以便在动态环境中高效行动。此外，我们通过一个案例研究来说明该框架，以确定所提出系统的工作方式。我们开发了本体和原型模型，以证明我们所提出系统的可扩展性。

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本文引用的文献

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基于语境可废止逻辑的医疗保健系统多主体形式化方法。
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