Design of Intelligent Pension Online Monitoring System Under the Environment of Internet of Things

With the improvement of the degree of aging,the traditional pension model can no longer meet the growing needs of the elderly.Therefore,it is necessary to use the intelligent means of information technology to improve the level of pension services.This paper will integrate multi-sensor fusion technology,NB-IoT communication technology and cloud platform technology to develop and design a smart pension online monitoring system to realize real-time collection of human health and motion status information and realize monitoring platform management.In this system,STM32 microcontroller will be used as the main control module,and MAX30102,ADXL345 and DS18B20 sensors will be used to collect the heart rate,blood oxygen,displacement and body temperature of the human body in real time.On the one hand,the communication part is completed by the BC20 Internet of Things module.The data transmission between the terminal detection device and the cloud platform,on the other hand,the HC-42 Bluetooth module is used to complete the data communication with the mobile phone.The test results show that the system can collect and process data accurately in real time and maintain good communication with the cloud platform and mobile phone.The designed system has strong pertinence,easy operation,high reliability and broad development prospects.

Internet of Cultural Things: Current Research, Challenges and Opportunities

Driven by the visions of the Internet of Things(IoT),Artificial Intelligence(AI),and 5G communications,the Internet of Cultural Things(IoCT)realize the comprehensive interconnection among cultural products,cultural services,cultural resources,and cultural platforms,bringing individuals with richer humanistic experience,increasing economic benefits for the cultural sector,and promoting the development of cultural heritage protection and education.At present,IoCT has received widespread attention in both industry and academia.To explore new research opportunities and assist users in constructing suitable IoCT systems for specific applications,this survey provides a comprehensive overview of the IoCT components and key technologies.A comparison study of representative IoCT systems is presented according to their applicability.A general platform architecture of IoCT is proposed to link cultural objects with the internet and human.Finally,open issues for research challenges and future opportunities of IoCT are also studied in this paper.

Research on Coal Seam Floor Water Inrush Monitoring Based on Perception of IoT Coupled with GIS

To the complication and uncertainty in coal seam floor water-inrush monitoring, Internet of Things (IoT) perception is applied to the monitoring and controlling of coal seam floor water inrush with major impacting factors analyzed, and an open distribution information processing platform is constructed based on IoT-GIS coupling perception. Then using the platform to comprehensively perceive various floor water inrush impacting parameters, an AHP model is established. At this stage, by means of weight reasoning algorithm based on dynamic Bayesian network, the AHP weight can be worked out using the two-way probability transfer and chain rules. Then the multiple factors are spatially fused by GIS to form a non-linear mathematical model for the calculation of the water inrush relative probability index. After that, the discrimination threshold of the comb graph for the floor water inrush relative probability index is used to further identify the floor water inrush mode. The experiments in 10# Coal Seam of Suntuan Mine show that, the accuracy perceived the floor water inrush is above 92%, and the platform of IoT-GIS coupling perception has the obvious technical advantage than traditional monitoring technology. Therefore, it has has demonstrated strong systematic robustness, important theoretical and application significance.

Analysis of identifiers in IoT platforms

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.

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

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.

Novel Architecture of OneM2M-Based Convergence Platform for Mixed Reality and IoT

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.

Distributed sensing and cooperative estimation/detection of ubiquitous power internet of things

The rapid development of Internet Plus Smart Energy requires further strengthening of three kinds of interconnections based on traditional power systems: physical interconnection, information interconnection, and commercial interconnection. Due to the integration of renewable energy, the reform of the electricity market, and the deployment of the Smart Grid, a large amount of data will be generated. Thus, it is necessary to establish a Ubiquitous Power Internet of Things (UPIoT) to realize connections among people and things, things and things, and people and people in power systems. This paper studies the concept and architecture of the UPIoT and indicates the deployment of the perception layer and network layer as the key to building UPIoT in the initial stage. As UPIoT tends to cover a wide area and produce massive and distributed data, signal processing and data analytics theories and techniques are needed to handle the data and observe the state of the large-scale system. Further studies on distributed sensing and cooperative estimation theories and techniques of UPIoT are also required. Finally, the application prospects of UPIoT and the directions for future research are discussed.

The utilization of algorithms for cloud internet of things application domains:a review

Cloud internet of things(IoT)is an emerging technology that is already impelling the daily activities of our lives.However,the enormous resources(data and physical features of things)generated from Cloud-enabled IoT sensing devices are lacking suitable managerial approaches.Existing research surveys on Cloud IoT mainly focused on its fundamentals,definitions and layered architecture as well as security challenges.Going by the current literature,none of the existing researches is yet to provide a detailed analysis on the approaches deployed to manage the heterogeneous and dynamic resource data generated by sensor devices in the cloud-enabled IoT paradigm.Hence,to bridge this gap,the existing algorithms designed to manage resource data on various CloudloT application domains are investigated and analyzed.The emergence of CloudloT,followed by previous related survey articles in this field,which motivated the current study is presented.Furthermore,the utilization of simulation environment,highlighting the programming languages and a brief description of the simulation pack-ages adopted to design and evaluate the performance of the algorithms are examined.The utilization of diverse network communication protocols and gateways to aid resource dissemina-tion in the cloud-enabled IoT network infrastructure are also discussed.The future work as discussed in previous researches,which pave the way for future research directions in this field is also presented,and ends with concluding remarks.

基于数字孪生与元宇宙的能源互联网认知系统论(二):面向复杂系统涌现现象的虚拟仿真推演框架

复杂性是能源互联网的重要特征与演进趋势,复杂性及其所伴随的涌现现象往往使得基于机理模型(白箱子)的仿真、分析、推演方法不再适用于复杂系统。得益于数据科学、仿真技术、孪生技术的共同发展,虚拟孪生技术成为应对复杂系统的利器。面向复杂性,该文对虚拟孪生技术及其应用前景进行探究,并重点讨论虚拟孪生系统的基本特性、支撑理论、技术体系、建设流程及其案例分析等,进一步提出基于虚拟仿真推演技术的涌现现象认知框架。该工作一方面为在能源系统中开展虚拟孪生工作提供参考借鉴,另一方面也有益于虚拟孪生技术的推进。

基于OneNET云平台的智慧消防远程监控系统的设计

针对传统消防监控系统存在开发成本高、误警率高、实时监控不便的问题,提出一种基于物联网云平台的智慧消防远程监控系统。采用STM32单片机作为中枢控制芯片,经多传感器采集温度、湿度、烟雾、火焰等环境数据,通过窄带物联网(NB-IoT,Narrow Band Internet of Things)上传至OneNET云平台。经数据分析后以可视化方式呈现,对异常数据触发报警实时响应。通过手机APP实现数据实时监测及一键处置。经测试,监控系统报警准确率高于97.2%,数据延迟低于50 ms,表明该系统能够实现消防火警的无线远程监控,并做出快速反应,满足中小微企业和普通家庭用户的消防监控需要。

搭建基于“BIM+物联网”技术的医院后勤安全运维平台的实践与探索

为实现“三位一体”智慧医院的建设目标,中山大学孙逸仙纪念医院利用信息化技术手段,搭建基于“BIM+物联网”技术的医院后勤安全运维平台,集成后勤业务系统,完善后勤标准化服务,提升医院后勤服务的效能,实现后勤能源、环境、设备、安防与物资供应可视化,业务流程标准化,数据精准化,探索一院多区智慧后勤管理创新模式,助力医院高质量发展。

SAR Image Quality Assessment System Based on Human Visual Perception for Aircraft Electromagnetic Countermeasures

In electronic confrontation, Synthetic Aperture Radar (SAR) is vulnerable to different types of electronic jamming. The research on SAR jamming image quality assessment can provide the prerequisite for SAR jamming and anti-jamming technology, which is an urgent problem that researchers need to solve. Traditional SAR image quality assessment metrics analyze statistical error between the reference image and the jamming image only in the pixel domain; therefore, they cannot reflect the visual perceptual property of SAR jamming images effectively. In this demo, we develop a SAR image quality assessment system based on human visual perception for the application of aircraft electromagnetic countermeasures simulation platform.The internet of things and cloud computing techniques of big data are applied to our system. In the demonstration, we will present the assessment result interface of the SAR image quality assessment system.

基于虚拟网关的交通基础设施监测点位数据接入方法

针对交通基础设施点位监测数据来源多样、结构各异、协议不一的特点,分析具体接入需求,提出一种基于Netty架构的交通基础设施监测点位数据接入虚拟网关。阐述网关接入监测点位的配置方法及集群分配策略,定义超文本传输协议(HTTP)、传输控制协议(TCP)、用户数据报协议(UDP)下的数据传输格式,设计一种数据传输消息的编码和校验机制。在真实监测数据样本增强的基础上,利用分布式消息模拟工具对虚拟网关性能进行测试,结果表明,该虚拟网关实现了多点位多协议的交通基础设施监测数据统一接入,每亿条数据接入时间、存储时间分别达到8.14 s和9.75 s,平均数据溯源时间为2.96 s,具有亿级规模点位监测数据的接入能力,可为交通基础设施数字化监测的研究和应用提供理论支撑。

基于物联网的隧道通风控制系统的研究与设计

针对隧道通风采用的分档控制与模糊控制的各自缺点,提出一种基于LSTM交通流预测的模糊PID智能算法。利用LSTM算法预测未来的污染物趋势,按照计算出的需风量提前开启风机,改善系统的滞后性,并利用模糊PID算法对风机进行精确控制。引入物联网技术,构建“互联网+隧道通风”的控制系统,利用PLC网关将采集的数据上传至云平台,供运营商随时随地查看隧道各节点的数据并对设备进行远程调控。仿真实验数据表明,算法超调量为4%,调节时间较模糊控制缩短68.60%,并具有较强的鲁棒性。

智能教育中可计算感知技术:系统性综述

随着教育技术的进步和发展,以深度学习、机器学习、虚拟现实、物联网为代表的可计算感知技术在以人为本的教育中的应用愈发广泛,同时也是赋能教育发展变革的关键力量之一。然而,目前对于可计算感知技术在智能教育中的应用还知之甚少。以面部表情、语音、文本、眼动、触觉、生理信号等可感知的物理及虚拟空间中可感知数据为基础,对当前公开发表的期刊文献和会议论文进行筛选和统计,系统分析了智能教育中可计算感知技术的进展与应用,并提出了其对教育实践的潜在影响和挑战。最后,基于结论对智能教育中可计算感知技术的未来发展方向展开了前瞻讨论。

雷电预警及防护装置智能监管系统研究

为顺应时代的发展,弥补雷电防护装置监管手段落后的短板,雷电防护智能在线监控系统应运而生。该系统前端检测设备通过物联网、大数据、边缘计算、智能感知新技术方便、快捷、高效的实现了矿场生产自动化、管理自动化设备的入侵雷电数据、接地电阻及电源范围的实时在线监测,按国家规范要求保证各种设备的正常运行和人身安全,减少财产损失,建设经济合理、安全可靠的防护监测系统。

基于云网边端的智慧工地管理平台技术研究

随着智能建造的在工程建设领域的全面铺开,为解决国内智慧工地项目缺乏统一规划,信息孤岛严重,缺乏标准体系部署环境复杂,缺乏有效运维等问题,文章提出基于云网边端的智慧工地管理平台,采用泛在融合感知技术、Iaas、Paas、Saas融合的云平台架构,降低系统耦合性,提高资源复用率,在大规模推广应用的情况下,可极大降低智慧工地项目实施成本。

基于云平台的智慧渔业水质监控物联网系统研制

基于云平台的智慧渔业水质监控物联网系统为水产养殖实现高质高产提供了可行性。从研制框架、硬件设计、软件设计3方面详细介绍了智慧渔业水质监控物联网系统的研制过程,通过试验,表明智慧渔业水质监控物联网系统能耗较低、传输安全可靠,具备大范围推广的条件,对降低水产养殖劳动强度,提高经济效益有着十分深远的影响。

物联网平台下的分布式数据融合管理系统设计与实现

随着物联网技术的快速发展,感知终端之间的数据融合、交互与共享成为智能物联网高层应用的基础。目前,我国各行业的管理系统还存在较大的“信息孤岛”现象,本文为了解决上述问题而提出的总体方案和总体方案。在此基础上,设计了数据融合平台、分布式实时库管理等各子系统的功能结构,针对个问题提出来系统的总模块设计与总架构设计。并对系统五大子系统:数据融合平台、分布式实时库管理、客户端代理、集群、元数据服务器的功能架构进行了设计。为高效处理、分布式存储等提供借鉴。

智能电饭煲远程控制系统的设计与实现

为了实现利用远程控制使电饭煲完成煮饭操作的智能化,设计了一种基于物联网的智能电饭煲控制系统。该系统采用STC89C51为控制芯片,ESP8266 WiFi模块为通信模块,结合其它硬件电路实现对电饭煲的远程控制,可满足人们舒适、高节奏生活的需要。