Smart Cities - Third Ibero-American Congress, ICSC-Cities 2020, San José, Costa Rica, November 9-11, 2020, Revised Selected Papers
Smart Cities - Third Ibero-American Congress, ICSC-Cities 2020, San José, Costa Rica, November 9-11, 2020, Revised Selected Papers
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智慧城市 - 第三届伊比利亚美洲大会，ICSC-Cities 2020，哥斯达黎加圣何塞，2020 年 11 月 9 日至 11 日，修订后的精选论文
DOI：
10.1007/978-3-030-69136-3_10
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Escamilla-Ambrosio P
中科院分区：
文献类型：
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作者：
Escamilla-Ambrosio P
众包是一种现象，有时来自不同背景的一群人参与利用技术来完成一项任务。物联网（IoT）能够整合大量异构设备，如传感器、监控摄像头、智能手机、家用电器等，这些设备生成的所有数据都经过处理和分析，以整合应用程序，使最终用户的生活更轻松。本文提出，在一个容易发生洪水的特定城市区域，社区成员可以利用物联网技术合作共享有关天气状况的信息。收集到的信息被发送到云上，与天气预报和安装在研究区域内部和周围特定区域的传感器和监控摄像头网络的信息一起进行分析。让所研究社区的成员参与这一过程，将以较低的成本利用现有的物联网技术和众包的使用，从而实现所谓的智慧城市的发展。本文修订了现有的技术，并提出了一个系统，该系统将有助于收集和评估用于预测目的的信息，以确定所涉及的社区是否有被洪水淹没的风险。值得注意的是，由于人口过剩、城市化进程缓慢和气候变化，这种风险每年都在上升。结果显示，使用这项技术可改善天气预报，使市民在遭遇水浸威胁时能及时作出反应。
Crowdsourcing is a phenomenon where groups of persons sometimes from different backgrounds participate to accomplish a task by making use of technology. Internet of Things (IoT) is able to incorporate a large number of heterogeneous devices such as sensors, surveillance cameras, smartphones, home appliances, etc., all data generated by these devices is processed and analysed to incorporate applications that will make life easier for the end users. This article proposes that community members of a specific urban zone, prone to flooding, collaborate in sharing information about weather conditions using IoT techniques. The gathered information is sent to a cloudlet to be analysed together with information from weather forecast and a network of sensors and surveillance cameras installed in specific areas inside and surrounding the studied zone. Having members of the very community studied involved in the process will exploit the available IoT technologies and the use of crowdsourcing at a lower cost leading to the development of what is called Smart City. This paper revises the available technology and proposes a system that will help in collecting and evaluating information for prediction purposes as to whether the community involved is at risk of being flooded. It is being noted that this risk is getting higher every year due to overpopulation, bad urbanisation, and climate change. Results show that the use of this technology will improve weather forecast so the community could react in time in case of flooding threats.