火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Th...火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Things, NB-IoT)的消防水源数字化感知系统。系统终端采用自主设计,实现消防水源关键信息的实时采集,通过NB-IoT无线通信技术将数据上传至云平台。云平台实现数据预处理、流转与存储,并通过配套的Web端和APP将关键信息进行可视化展示。消防管理人员可远程查看消防水源状态以及巡检记录的信息,出现异常时自动报警推送。利用组合模型对监测终端采集的非用水时水压进行学习,通过设置阈值与时间窗口实现消防用水行为的识别,对消防水系统的维护进行指导。经测试,系统运行稳定、使用便捷,具有良好的实用价值。展开更多
The Internet of Things(IoT)provides new opportunities for different IoT platforms connecting various devices together.The need to identify those devices is the foremost important to perform any kind of operation.Many ...The Internet of Things(IoT)provides new opportunities for different IoT platforms connecting various devices together.The need to identify those devices is the foremost important to perform any kind of operation.Many organizations and standard bodies that provide specifications and frameworks for the IoT currently have their own identification mechanisms.Some existing industrial identification mechanisms can also be used in the IoT.There is no common Identification Scheme(IS)for the IoT as yet,because of the political and commercial differences amongst the standard bodies.The unavailability of a unified IS method makes the inter-working among IoT platforms challenging.This paper analyses and compares ISs used by several selected IoT platforms.This work will help in understanding the need for a common identification mechanism to provide inter-working among different IoT platforms.展开更多
Nowadays, we experience an abundance of Internet of Things middleware solutions that make the sensors and the actuators are able to connect to the Internet. These solutions, referred to as platforms to gain a widespre...Nowadays, we experience an abundance of Internet of Things middleware solutions that make the sensors and the actuators are able to connect to the Internet. These solutions, referred to as platforms to gain a widespread adoption, have to meet the expectations of different players in the IoT ecosystem, including devices [1]. Low cost devices are easily able to connect wirelessly to the Internet, from handhelds to coffee machines, also known as Internet of Things (IoT). This research describes the methodology and the development process of creating an IoT platform. This paper also presents the architecture and implementation for the IoT platform. The goal of this research is to develop an analytics engine which can gather sensor data from different devices and provide the ability to gain meaningful information from IoT data and act on it using machine learning algorithms. The proposed system is introducing the use of a messaging system to improve the overall system performance as well as provide easy scalability.展开更多
There have been numerous works proposed to merge augmented reality/mixed reality(AR/MR)and Internet of Things(IoT)in various ways.However,they have focused on their specific target applications and have limitations on...There have been numerous works proposed to merge augmented reality/mixed reality(AR/MR)and Internet of Things(IoT)in various ways.However,they have focused on their specific target applications and have limitations on interoperability or reusability when utilizing them to different domains or adding other devices to the system.This paper proposes a novel architecture of a convergence platform for AR/MR and IoT systems and services.The proposed architecture adopts the oneM2M IoT standard as the basic framework that converges AR/MR and IoT systems and enables the development of application services used in general-purpose environments without being subordinate to specific systems,domains,and device manufacturers.We implement the proposed architecture utilizing the open-source oneM2M-based IoT server and device platforms released by the open alliance for IoT standards(OCEAN)and Microsoft HoloLens as an MR device platform.We also suggest and demonstrate the practical use cases and discuss the advantages of the proposed architecture.展开更多
文摘火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Things, NB-IoT)的消防水源数字化感知系统。系统终端采用自主设计,实现消防水源关键信息的实时采集,通过NB-IoT无线通信技术将数据上传至云平台。云平台实现数据预处理、流转与存储,并通过配套的Web端和APP将关键信息进行可视化展示。消防管理人员可远程查看消防水源状态以及巡检记录的信息,出现异常时自动报警推送。利用组合模型对监测终端采集的非用水时水压进行学习,通过设置阈值与时间窗口实现消防用水行为的识别,对消防水系统的维护进行指导。经测试,系统运行稳定、使用便捷,具有良好的实用价值。
基金This work is supported by the Institute for Information&communications Technology Promotion(IITP)grant funded by the Korean government Ministry of Science and ICT(MSIT)(No.B0184-15-1001,Federated Interoperable Semantic IoT Testbeds and Applications).
文摘The Internet of Things(IoT)provides new opportunities for different IoT platforms connecting various devices together.The need to identify those devices is the foremost important to perform any kind of operation.Many organizations and standard bodies that provide specifications and frameworks for the IoT currently have their own identification mechanisms.Some existing industrial identification mechanisms can also be used in the IoT.There is no common Identification Scheme(IS)for the IoT as yet,because of the political and commercial differences amongst the standard bodies.The unavailability of a unified IS method makes the inter-working among IoT platforms challenging.This paper analyses and compares ISs used by several selected IoT platforms.This work will help in understanding the need for a common identification mechanism to provide inter-working among different IoT platforms.
文摘Nowadays, we experience an abundance of Internet of Things middleware solutions that make the sensors and the actuators are able to connect to the Internet. These solutions, referred to as platforms to gain a widespread adoption, have to meet the expectations of different players in the IoT ecosystem, including devices [1]. Low cost devices are easily able to connect wirelessly to the Internet, from handhelds to coffee machines, also known as Internet of Things (IoT). This research describes the methodology and the development process of creating an IoT platform. This paper also presents the architecture and implementation for the IoT platform. The goal of this research is to develop an analytics engine which can gather sensor data from different devices and provide the ability to gain meaningful information from IoT data and act on it using machine learning algorithms. The proposed system is introducing the use of a messaging system to improve the overall system performance as well as provide easy scalability.
基金This research was supported by MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2021-2018-0-01431)the High-Potential Individuals Global Training Program(2019-0-01611)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
文摘There have been numerous works proposed to merge augmented reality/mixed reality(AR/MR)and Internet of Things(IoT)in various ways.However,they have focused on their specific target applications and have limitations on interoperability or reusability when utilizing them to different domains or adding other devices to the system.This paper proposes a novel architecture of a convergence platform for AR/MR and IoT systems and services.The proposed architecture adopts the oneM2M IoT standard as the basic framework that converges AR/MR and IoT systems and enables the development of application services used in general-purpose environments without being subordinate to specific systems,domains,and device manufacturers.We implement the proposed architecture utilizing the open-source oneM2M-based IoT server and device platforms released by the open alliance for IoT standards(OCEAN)and Microsoft HoloLens as an MR device platform.We also suggest and demonstrate the practical use cases and discuss the advantages of the proposed architecture.
