物联网技术在日常生活中的应用

随着信息技术的不断发展,物联网正逐步取代互联网,成为新一代信息技术中最重要的组成部分。作为一种战略性的新兴产业,物联网是一种对当前世界最新信息技术的高度支持,是一种最综合的应用,是推动信息技术在各个行业应用中实现信息化新状态的重要力量。从世界信息技术的发展来看,物联网的发展水平已经成为对国家、地区或者是区域的现代化程度、国际竞争力以及综合实力进行有效衡量的主要标志。而随着物联网技术在RFID、M2M、传感网以及两化融合等关键领域的应用,物联网在未来的发展中可以说具备巨大的市场潜力和创新的空间,这一技术也必将像互联网一样,成为人们生活中不可或缺的组成部分。那么,物联网技术在日常生活中的应用是怎样的呢？本文主要围绕物联网技术在日常生活中应用的问题进行分析与探讨。     

基于物联网云平台的空调源码库

为了解决云空调远程控制、兼容性控制和底层源码库灵活拓展的问题,本文通过红外遥控编码分析仪对空调遥控器输出数据进行采集、分析,搭建了源码库开发环境,完成了空调控制程序录入云平台,实现了云空调一键匹配功能.通过移动客户端APP实现了对空调的远程控制和兼容性控制.测试结果表明:物联网云空调可以取代传统空调遥控器,调用云平台源码库控制不同品牌空调可实现"一机多用",提高匹配效率,可将物联网云平台应用于智能家居领域.     

制冷技术在渔业生产中的应用

本文主要介绍了制冷技术在渔业生产中对渔获物的保鲜。冻结、冷藏、冷却海水育苗的实际应用。     

物联网技术在档案馆中的应用

物联网创新了档案馆自动化管理模式,促进了档案馆自动化的发展。本文介绍了物联网的相关知识、物联网技术在档案馆中的应用以及对档案馆的影响。     

热管技术研究进展及其在制冷空调行业中的应用

综述了国内外热管技术理论研究和应用研究的发展与现状，指出热管技术研究的重心已经从理论研究转移到应用研究，热管的应用已经由航天转向地面，由工业转向民用。在制冷空调行业，热管主要用做换热器，它可以进房间空调器、空调热回收、地热、太阳能、废热利用等技术的应用与发展，将减轻对环境的热污染。     

物联网技术在智能家居中的应用研究

信息技术的进步给人们生活方式带来了极大的改变。文章主要介绍了智能家居以及相关的物联网技术,并且阐述了物联网技术应用在在智能家居中的典型。     

WEN技术在电梯物联网中的应用

电梯物联网系统的可靠运行需要成熟稳定的网络结构和可靠的数据传输机制的支持。本文主要以电梯物联网传感层为对象,介绍传感层网络的结构及网络中各角色的作用;介绍传感层数据传输机制,包括数据传输方式及数据包路由原则。     

物联网技术在图书馆管理中的应用

物联网是在互联网的基础上,利用射频技术、计算机等技术构成的非常广阔的实物互联网,物联网技术的出现对现代图书馆的管理产生巨大的影响。     

热管技术在制冷空调中的应用

本文从热管技术的优越特性出发,论述了热管的工作原理以及热管高效的传热性能,对于节约能源,提高能源利用效率具有重要意义,指出热管技术在制冷空调领域将有较好的应用前景。     

Review of operational management in intelligent agriculture based on the Internet of Things

This review aims to gain insight into the current research and application of operational management in the area of intelligent agriculture based on the Internet of Things (IoT), and consequently, identify existing shortcomings and potential issues. First, we use the Java application CiteSpace to analyze co-citation networks in the literature related to the operational management of IoT-based intelligent agriculture. From the literature analysis results, we identify three major fields: (1) the development of agricultural IoT (Agri-IoT) technology, (2) the precision management of agricultural production, and (3) the traceability management of agricultural products. Second, we review research in the three fields separately in detail. Third, on the basis of the research gaps identified in the review and from the perspective of integrating and upgrading the entire agricultural industry chain, additional research directions are recommended from the following aspects: The operational management of agricultural production, product processing, and product sale and after-sale service based on Agri-IoT. The theoretical research and practical application of combining operational management theories and IoT-based intelligent agriculture will provide informed decision support for stakeholders and drive the further development of the entire agriculture industry chain.     

Anomaly Detection for Internet of Things Cyberattacks

The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of improving quality of service and facilitating human lives. The IoT revolution has redefined digital services in different domains by improving efficiency, productivity, and cost-effectiveness. Many service providers have adapted IoT systems or plan to integrate them as integral parts of their systems’ operation; however, IoT security issues remain a significant challenge. To minimize the risk of cyberattacks on IoT networks, anomaly detection based on machine learning can be an effective security solution to overcome a wide range of IoT cyberattacks. Although various detection techniques have been proposed in the literature, existing detection methods address limited cyberattacks and utilize outdated datasets for evaluations. In this paper, we propose an intelligent, effective, and lightweight detection approach to detect several IoT attacks. Our proposed model includes a collaborative feature selection method that selects the best distinctive features and eliminates unnecessary features to build an effective and efficient detection model. In the detection phase, we also proposed an ensemble of learning techniques to improve classification for predicting several different types of IoT attacks. The experimental results show that our proposed method can effectively and efficiently predict several IoT attacks with a higher accuracy rate of 99.984%, a precision rate of 99.982%, a recall rate of 99.984%, and an F1-score of 99.983%.     

泛在电力物联网在北京经济技术开发区的应用探索

泛在电力物联网是物联网在电力领域的具体体现,建设泛在电力物联网是推进三型两网建设的关键环节,也是实现能源转型的必要手段。阐述了泛在电力物联网的定义,从供电公司角度出发,根据北京经济技术开发区实际情况,讨论了依托地区特点的泛在电力物联网实施策略和实际应用场景,分析了可能遇到的问题。得出结论：随着泛在电力物联网的深入建设,供电公司能够为电力客户提供多元化服务,提高客户满意度;地市供电公司能够依托泛在电力物联网开展更多电力相关业务;泛在电力物联网的安全性、实用性、有效性是发展面临的首要问题。     

A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model (UTAUT)

Smart Farming is the application of modern technologies, tools and gadgets for increasing the agricultural crops quality and quantity. The Internet of Things (IoT) technology has had a prominent role in the establishment of smart farming. However, the application of this technology could be hard and, in some cases, challenging for the Middle Eastern users. Therefore, the research purpose is to identify the influential factors in the adoption and then application of IoT in smart farming by farmers with a contextualized approach in Iran, a typical Middle Eastern country. Thus, the Unified Theory of Acceptance and Use of Technology (UTAUT) has contextually been used as the theoretical model of the research. The results accentuated and proved the positive impacts of performance expectancy (H1), effort expectancy (H2), social influence (H3), individual factors (H4), and facilitating conditions (H5), on the intention to use IoT technology. Ultimately, the results were indicating the significant impact of behavioral intention on the actual usage of IoT technology (H6). One of the implications of the research is for the IT policymakers in the agricultural sector in the Middle East, where water and cultivable land are two valuable but scarce economic resources. Hence, smart farming could not be promoted unless the farmers had fulfilled its prerequisite factors proposed by the research results for using the IoT technology.     

物联网时代下减少二次包装的新思考

目的研究商品在包装功能发生改变时如何尽量减少二次包装给资源和环境造成的浪费和污染。方法结合目前市场上的商品包装形式,探析在物联网时代背景下的商品包装,明确研究的目的与意义。结论物流功能方面尝试减少物流过程中的二次包装,减少包装材料的浪费和二次污染;市场需求方面包装设计为了满足物流需要应在包装纹饰上简约、明了,这有利于节约成本。物联网时代包装的发展出现了信息化和互动性的新趋向,信息化体现在能够准确查询物品的位置信息、物品安全、物品送达以及库存信息;互动性体现在包装设计中应充分考虑包装的信息功能,从消费者的角度出发,通过利用物联网技术融入互动性的元素,寻求商品与消费者之间的情感交流。     

泛在电力物联网在电力市场应用中的展望

随着电力体制改革的不断深化,电力用户借助分布式发电、储能系统和电动汽车等新兴技术已经具备了参与电力交易的能力,但传统电力系统的运行控制方式却难以适应新时代开放电力市场的需求。国家电网有限公司所提出的泛在电力物联网（ubiquitous power internet of things,UPIoT）战略可以实现电力系统各环节互连、状态全面感知和优化控制,是建设开放电力市场的有效技术支撑。基于此,分析了新时代电力系统发展所面临的挑战以及建设泛在电力物联网的必要性;研究了泛在电力物联网在开放电力市场中的典型应用;对面向电力市场的泛在电力物联网关键技术进行了讨论,为构建现代化开放电力市场提供参考。     

物联网时代的智慧型物品探析

阐述了以物与物之间交流为标志的物联网将是一种无处不在的泛在网络,其目的是使地球上的"物"变得更加智慧。针对物联网中的物是具有感知和交流功能的智慧物之特点,分析了用智慧型物品的术语来表述物联网中的人造物可以体现与传统智能产品的差异和物联网特征,提出了智慧型物品的智慧主要来自于网络系统各类智慧解决方案以及智慧型物品的设计策略和理念。     

物联网技术在物流包装应用中的问题及对策

目的研究物联网技术在物流包装中的应用进展,提出待解决问题的对策。方法运用物联网和包装管理的基本原理,采用探究性、描述性和因果性研究方法系统阐释其工作机理。结果应提高芯片技术研发和生产能力,创建可视化智能管理系统,加强物流包装EDI技术的开发和应用,提高包装信息响应,加强电子产品代码(EPC)网络管理,提高网络安全技术水平,从而加强物联网技术在物流包装领域中的推广和应用。结论物流包装领域可通过实施物联网技术实现持续改进的目标。     

基于智慧物联网的社区老年健康监测服务设计研究

目的 全球老龄化对医疗保健系统造成了冲击,给老年群体的医护服务供需平衡带来了重大挑战,为提高就医便捷性、促进健康问题早期发现,以及预防性医护服务的定制化、系统化,探讨了一种创新的智慧社区老年医护服务模式。方法 基于物联网(IoT)技术和人工智能(AI)算法,构建了以传感器多路采集为数据来源的物联网健康监测框架,开发了融合传感器、电子医疗记录和病例样本数据为特征数据的机器学习疾病预测模型,并在此基础上设计了远程医护服务平台应用程序,构成了智慧社区老年健康监测服务模式。结论 系统以物联网-人工智能-交互终端为核心,利用老年人生理数据预测其慢性病风险进而实现提前预警,便于提供及时的干预措施,为医患双方提供沟通媒介及辅助诊断工具。系统有望推动养老医护服务的发展,提高服务的可及性与有效性。     

泛在电力物联网的关键技术与应用前景

泛在电力物联网是以电力系统为核心,结合智能终端传感器、通信网、人工智能和云平台技术构成的复杂多网流系统,其具有全息感知、泛在连接、开放共享、融合创新的特点。首先阐述了泛在电力物联网的基本概念、特征,并详细分析了其体系架构;其次,从智能芯片、5G与LPWA、物联网平台三方面探讨了泛在电力物联网的关键技术,从业务壁垒、信息安全、数据分析和商业模型4个角度分析了泛在电力物联网建设的关键难点;最后研究了泛在电力物联网的实际需求和应用前景。