Integration of Heterogeneous Sensor Systems for Disaster Responses in Smart Cities: Flooding as an Example

Author:

Hong Jung-Hong12ORCID,Shi Yi-Tin1ORCID

Affiliation:

1. Department of Geomatics, National Cheng Kung University, Tainan City 701401, Taiwan

2. Information Division, National Science and Technology Centre for Disaster Reduction, New Taipei City 23143, Taiwan

Abstract

Smart cities represent a new perspective on modern urban development. They involve an information infrastructure environment with application intelligence to improve operational efficiency and welfare effectively. However, understanding how to overcome the barriers of data fragmentation and heterogeneity to exploit the strengths of existing resources and create integration effects remains a key challenge in smart city development. This research focuses on the effective management of heterogeneous sensor systems across different domains to improve quick disaster responses. Metadata serve as the core of this proposed framework, which is designed to not only describe the common and unique characteristics of various IoT-based devices and services, but also to provide necessary information to support the searching, requesting, and updating of required sensors and observation, as well as responding to the upcoming disaster. A workflow consisting of four list types was proposed and used to guide the response procedure. This research specifically aims to enable heterogeneous sensor systems available to all public or private stakeholders to be integrated in a collaborative fashion. While a flooding response was chosen for demonstration in this research, the proposed standard-based framework can be further promoted for other types of smart city applications, not limited to disaster response. The study’s results and implications underscore the importance of effective management of heterogeneous sensor systems and the role of metadata in enabling disaster responses in smart cities.

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Reference54 articles.

1. Reflections on the Sendai Framework for Disaster Risk Reduction: Five Years Since Its Adoption;Mizutori;Int. J. Disaster Risk Sci.,2020

2. Relationship Between Extreme Rainfall and Design Flood-Discharge of the Ciliwung River;Farid;IOP Conf. Ser. Earth Environ. Sci.,2021

3. Moss, B.C. (2020). On the Distribution of Inter-Arrival Times of 911 Emergency Response Process Events. [Ph.D. Thesis, Brigham Young University].

4. Big Data in Transport Modelling and Planning;Iliashenko;Transp. Res. Procedia,2021

5. Research on the Connotation and Operation Mechanism of Smart Exhibition;Li;E3S Web Conf.,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3