Barcelona Smart City: The Heaven on Earth(Internet of Things: Technological God)

Cities are the most preferable dwelling places, having with better employment opportunities, educational hubs, medical services, recreational facilities, theme parks, and shopping malls etc. Cities are the driving forces for any national economy too. Unfortunately now a days, these cities are producing circa 70% of pollutants, even though they only oeeupy 2% of surface of the Earth. Pub- lic utility services cannot meet the demands of unexpected growth. The filthiness in cities causing decreasing of Quality of Life. In this light our research paper is giving more concentration on necessity of ＂ Smart Cities＂, which are the basis for civic centric services. This article is throwing light on Smart Cities and its important roles. The beauty of this manuscript is scribbling ＂Smart Cities＂ concepts in pictorially. Moreover this explains on ＂Barcelona Smart City＂ using lnternet of Things Technologies. It is a good example in urban paradigm shift. Braeelona is like the heaven on the earth with by providing Quality of Life to all urban citizens. The GOD is Interenet of Things.

Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space.There is a growing interest in underground building and growth worldwide.The reduced consumption of electricity,effective preservation of green land,sustainable wastewater and sewage treatment,efficient reverse degradation of the urban environment,and reliable critical infrastructure management can improve the quality of life.At the same time,technological innovations such as artificial intelligence(AI),cloud computing(CC),the internet of things(IoT),and big data analytics(BDA)play a significant role in improved quality of life.Hence,this study aims to integrate the technological innovations in urban underground engineering to ensure a high quality of life.Thus,this study uses big data analytics to carry out the status quo of foundation treatment and proposes a conceptual framework named the BDA with IoT on urban underground engineering(BI0T-UUE).This framework connects hidden features with various high-level sensing sources and practical predictive model characterization to lower building costs,productive infrastructure management,preparedness for disasters,and modern community smart services.The IoT integration gives an optimum opportunity to work towards the functionality of‘‘digital doubles’’of secret infrastructure,both economical and scalable,with the increasing sophistication and tooling of the underworld.The simulation analysis ensures the highest efficiency and cost-effectiveness of the underground engineering with a value of 96.54%and 97.46%.

Smart horticulture as an emerging interdisciplinary field combining novel solutions:Past development,current challenges,and future perspectives

Horticultural products such as fruits,vegetables,and tea offer a range of important nutrients such as protein,carbohydrates,vitamins and lipids.However,the present yield and quality do not meet the requirements of the rapid population growth associated with global climate change,the decline in horticultural practitioners,poor automation,and epidemic diseases such as COVID-19.In this context,smart horticulture is expected to greatly improve the land output rates,resource-use efficiency,and productivity,all of which should facilitate the sustainable development of the horticulture industry.Emerging technologies,such as artificial intelligence,big data,the Internet of Things,and cloud computing,play an important role.This paper reviews past developments and current challenges,offering future perspectives for horticultural chain management.We expect that the horticulture industry would benefit from integration with smart technologies.This requires the use of novel solutions to build a new advanced system encompassing smart breeding,smart cultivation,smart transportation,and smart sales.Finally,a new development approach combining precise perception,smart operation,and smart control should be instituted in the horticulture industry.Within 30 years,we expect that the industry will embrace mechanical,automatic,and informational production to transform into a smart industry.

Machine leaming for internet of things data analysis： a survey

Rapid developments in hardware, software, and communication technologies have facilitated the emergence of Internet-connected sensory devices that provide observations and data measurements from the physical world. By 2020, it is estimated that the total number of Internet-connected devices being used will be between 25 and 50 billion. As these numbers grow and technologies become more mature, the volume of data being published will increase. The technology of Internet-connected devices, referred to as Internet of Things （IoT）, continues to extend the current Internet by providing connectivity and interactions between the physical and cyber worlds. In addition to an increased volume, the IoT generates big data characterized by its velocity in terms of time and location dependency, with a variety of multiple modalities and varying data quality. Intelligent processing and analysis of this big data are the key to developing smart IoT applications. This article assesses the various machine learning methods that deal with the challenges presented by IoT data by considering smart cities as the main use case. The key contribution of this study is the presentation of a taxonomy of machine learning algorithms explaining how different techniques are applied to the data in order to extract higher level information. The potential and challenges of machine learning for IoT data analytics will also be discussed. A use case of applying a Support Vector Machine （SVM） to Aarhus smart city traffic data is presented for a more detailed exploration.

Big Data of Home Energy Management in Cloud Computing

A smart grid is the evolved form of the power grid with the integration of sensing,communication,computing,monitoring,and control technologies.These technologies make the power grid reliable,efficient,and economical.However,the smartness boosts the volume of data in the smart grid.To obligate full benefits,big data has attractive techniques to process and analyze smart grid data.This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid.The offered framework comprises of the following four layers:(i)Data source layer,(ii)Data transmission layer,(iii)Data storage and computing layer,and(iv)Data analysis layer.As a proof of concept,the framework is simulated by taking the dataset of three cities of the Pakistan region and by considering two cloud-based data centers.The results are analyzed by taking into account the following parameters:(i)Heavy load data center,(ii)The impact of peak hour,(iii)High network delay,and(iv)The low network delay.The presented framework may help the power grid to achieve reliability,sustainability,and cost-efficiency for both the users and service providers.

基于微服务和物联网的配电网智能计量架构

为实现电力系统向智能电网模式的演进,依赖于配电网(DN)的自动化,需要新的基础设施、技术和应用。提出一种基于微服务和物联网(IoT)的配电网自动化的智能计量设施,支持各种有助于实现配电网自动化和管理的服务。首先,在测量基础设施中对特定硬件、设备和底层协议进行抽线;然后,利用消息队列遥测传输(MQTT)作为以事件为导向的发布/订阅协议来实现,同时支持发布/订阅和请求/响应机制来实现;最后,使用以大数据为导向的可群集软件模块来实现可扩展性。分布式状态估计(SE)和网络拓扑重构算法验证了智能计量设施支持交互和协同操作。

高新技术赋能下的智慧化社区建设

该文探讨高新技术在智慧化社区建设中的应用,并分析这些技术如何赋能社区发展。首先,简要描述了智慧化社区建设的现状和需求;其次,对高新技术在智慧化社区建设中的应用进行概述和案例分析,研究了人工智能、物联网、大数据等领域的技术应用对社区改善和发展的影响;探讨了高新技术在提高社区管理效率、改善居民生活质量、推动环境保护等方面的优势,以及如何应对技术更新、信息安全和个人隐私保护等挑战;最后,提出了智慧化社区建设的发展策略,以期促进社区更高效、更便利、更可持续地发展。

基于智慧消防技术的核电厂安全管理优化与应用探索

本文结合核电厂消防建设经验,讨论智慧消防技术在核电厂中的应用与发展,提出系统性的解决方案,并展望未来发展趋势。

基于物联网大数据的智慧城市可持续建设研究

文中针对智慧城市建设可持续发展与规划的重要意义和重大影响,利用物联网和大数据分析技术,提出了一种以物联网和大数据分析为基础的智慧城市可持续发展规划与建设框架。首先,设计了一种基于物联网的异构聚合智慧城市架构;然后,对框架进行了大数据分析与探讨;最后,利用HadoopEco系统,对数据吞吐率曲线与数据量大小进行了评估,验证了所提框架的实用性和先进性。

组态化智慧型养老模式探索及其系统架构设计

文章介绍了组态化智慧型养老建设背景、建设意义及其运行模式,并对组态化智慧型养老系统架构及系统设计要求做了详细介绍。本文还对组态化智慧型养老系统应用及技术发展进行了预测。

基于CiteSpace国内智慧物流演进的可视化分析

新一代信息技术的发展推动了我国智慧物流业的发展。为了进一步分析国内对于智慧物流研究的发展与演进趋势,通过CiteSpace软件对知网内相关文献进行数量特征、研究热点和研究前沿分析,得出以下结论:(1)在文献的数量特征方面,国内学者对于智慧物流的研究从2010—2020年不断上升,近年来虽逐渐趋于稳定,但预计未来仍会增加;(2)在研究热点方面,物联网、智慧城市和物流企业是学者们的主要研究方向;(3)在研究前沿方面,国内研究近几年主演集中于数字经济和跨境电商于智慧物流之间研究。

基于CIM的智慧园区技术探索与落地实践

城市信息模型(CIM)是我国智慧城市建设及城市数字化转型的重要抓手之一。其核心技术主要包括物联感知技术、GIS与新型测绘技术、孪生建模技术、可视化渲染技术、仿真推演技术和交互控制技术等。本文以独角兽岛智慧园区项目为例,探讨CIM技术、物联网技术、大数据技术及可视化渲染技术的交汇与融合应用,设计并建设应用场景支撑产业园区全生命周期的规划、建设、管理、运营以及园区空间价值提升,形成园区、产业、市场和社会的数字化运行理念和方式,并提炼出项目中展现出的特色与亮点,为推动我国智慧园区及智慧城市的建设提供基础支撑和建设经验。

教育数字化背景下智慧实验室的建设

针对高校实验室建设、管理、使用中存在信息孤岛、管理难度大、利用率不高等问题,在教育数字化战略背景下,提出了智慧实验室建设目标和思路。通过构建智慧物联网、整合智慧实验室综合管理平台,建设虚实融合的智慧教学空间,构建基于大数据的教育评价体系等智慧实验室建设实践,推进了教育数字化转型,提高了实验室管理效率和利用率,提高了人才培养质量,实现了实时全面的数据支撑服务。

汽车智能轮胎技术发展及应用研究综述

智能轮胎融合了信息技术、传感器技术、通信技术等多种先进技术,能够实现轮胎状况的实时追踪与监控,避免在使用过程中出现老化、破损等情况,以及二手胎、翻新胎等问题,降低交通事故率,并能为智能网联汽车的控制提供参考数据。从理论研究与应用研究2个方面,总结了智能轮胎的3个主要技术发展阶段:射频技术阶段(实现轮胎的身份标记与追踪)、传感器检测阶段(实现轮胎的实时监控)与物联网和大数据阶段(实现智能汽车与轮胎的数据互补与轮胎全生命周期的监管),探讨了3个阶段的基本特征、技术手段和主要功能,并分析了智能轮胎在发展过程中的机遇与挑战。

高山无线发射台站智慧运维管理系统设计

自智慧广电战略提出以来,广播电视无线覆盖智慧化已成为广电行业技术研究的热点。本文详细介绍了高山无线发射台站的智慧化改造,通过在自台播出监控系统的基础上进行重新设计,构建了智慧运维管理系统。该系统实现了广播电视节目传输、发射的监控一体化云管理,并依托大数据、人工智能等技术,扩展了链路设备故障定位、智能诊断和播出预警等功能。这些改进措施全面提升了高山发射台站的安全播出保障能力。

基于烟花算法的智慧城市物联网数据流聚类方法

以往的智慧城市物联网数据流聚类方法对数据特征提取不精准,聚类速度慢。为了提高聚类速度,缩短数据流聚类的耗时,设计了基于烟花算法的智慧城市物联网数据流聚类方法。通过对样本矩阵的标准化计算,降低数据运算的压力,完成对物联网数据的预处理。在烟花算法的支持下,对数据进行去重处理,精准提取数据特征。再根据数据属性不同,计算数据的响应函数,构建数据聚类模型,利用余弦对数据进行聚类分析,实现物联网数据流的聚类。实验结果表明,该聚类方法的聚类平均耗时为15.52 ms,说明该方法能够有效缩短聚类耗时。

智慧园区建设的关键技术要点研究

随着信息技术的迅猛发展、广泛应用,智慧园区建设成为推动现代园区转型升级的关键环节,运用云计算、大数据等技术建设智慧园区,为园区内企业、居民提供更加便捷、高效的服务,同时推动园区的绿色发展、可持续发展。基于此,本文分析智慧园区建设过程中的关键技术要点,以期推动园区的智能化、高效化、可持续发展,进而提升园区的整体竞争力。

基于智慧城轨车站的应急疏散系统研究

城市轨道交通作为公共交通的主干力量,其运营安全是重中之重,在突发事件下,如火灾、洪涝等恶劣天气,如何高效地进行应急疏散,确保乘客生命安全,成为城轨交通领域亟待解决的问题;本文以智慧城轨车站为背景,探讨基于人工智能、大数据、物联网等技术的应急疏散系统设计内容,旨在提高疏散效率和安全性。

基于综合评价熵值算法的火灾风险评估

探讨如何运用大数据提升消防领域的决策和实时指挥能力,通过技术整合和分析消防数据,在各种消防场景中实现更精细的火灾防控、更智能的灭火救援以及更高效的后勤管理。采用综合评价熵值算法优化消防策略,深入分析消防业务的特点,探讨数据治理在消防领域的关键要素。讨论这些策略的构建方法论、数据获取与处理技术,以及如何将这些策略有效融入现有消防实践,以达成上述目标。研究的核心目的是通过科学的数据管理和技术融合,在消防领域创造价值、提升火灾应对的效率和成效。

低碳目标下的智慧图书馆绿色发展策略

低碳是智慧图书馆的建设目标之一。作为国家公共机构的重要组成部分,图书馆肩负着促进环境可持续发展的责任。利用环境物联网、绿色云计算与大数据技术构建支撑智慧图书馆绿色发展的数据中台,并对其具体应用展开详细论述。最后提出合理选择技术,防止隐私泄漏;按需利用技术,拒绝资源浪费;引入新兴技术,探寻“开源”之路三点展望,旨在为智慧图书馆实现低碳目标提供参考。