Research on the Connotation and Business Model of Internet of Things under the Background of Globalization

With the advent of the fourth industrial revolution,the new generation of information technology industry represented by the internet of things(IoT)has continually nurtured new business models and economic growth points and created one after another IoT mythology,which greatly promoted the global socioeconomic development and transformation.IoT has increasingly become the new engine of the current global economic development.To this end,this paper starts with the concept and connotation of the IoT,discusses the development and application of the global IoT and the types and characteristics of the IoT business model,and proposes the measures and countermeasures of the business model of the IoT in the context of globalization.

Internet of Things: Towards a Solid Ecosystem of Interconnected Things

The Internet of Things (IoT) is a technological revolution that has changed everything we do and given us a new perspective on our daily lives, but despite the fact that numerous publications have focused on characterizing the many edges and technologies that make up an IoT system, the IoT ecosystem is still seen as too complex to be recognized as a stand-alone environment due to its significant diversity;hence, the objective of this research is to address such a complex environment in a way that highlights its components and distinguishes them both individually and in relation to their broader context. Therefore, the definition of IoT and its emergence were discussed and organized around the timeline of Internet development phases demonstrating that IoT has been a need that has accompanied the presence of the Internet since its early stages, and then its growth and impact were discussed and highlighted with estimates and numbers. On the technical side, each of the following groups, IoT components, protocols, and architectures, was defined, discussed, and grouped in such a way that their intergroup organization, as well as their placement and contribution to the overall ecosystem, was highlighted. This, in addition to the various examples mentioned throughout the discussion, will provide the reader with a better understanding of the Internet of Things and how deeply it has become entwined in our daily lives and routines as a result of its numerous applications.

New Ways of Self-defence Society： The Role of Trust in Social Networks

The development of the Internet coincides with 90s financial crises. The net seemed to realize what Karl Polanyi defined social self-defence from the capitalism against the transformation of labour, land and money in fictitious commodities. In this paper we try to consider how Internet, and in particular social network, has modified many deep aspects of our life. With two different approaches, sociological and philosophical, we try to understand how social networks support new shapes of happiness and trust in an economic crisis context.

Optimized Stacked Autoencoder for IoT Enabled Financial Crisis Prediction Model

Recently,Financial Technology(FinTech)has received more attention among financial sectors and researchers to derive effective solutions for any financial institution or firm.Financial crisis prediction(FCP)is an essential topic in business sector that finds it useful to identify the financial condition of a financial institution.At the same time,the development of the internet of things(IoT)has altered the mode of human interaction with the physical world.The IoT can be combined with the FCP model to examine the financial data from the users and perform decision making process.This paper presents a novel multi-objective squirrel search optimization algorithm with stacked autoencoder(MOSSA-SAE)model for FCP in IoT environment.The MOSSA-SAE model encompasses different subprocesses namely preprocessing,class imbalance handling,parameter tuning,and classification.Primarily,the MOSSA-SAE model allows the IoT devices such as smartphones,laptops,etc.,to collect the financial details of the users which are then transmitted to the cloud for further analysis.In addition,SMOTE technique is employed to handle class imbalance problems.The goal of MOSSA in SMOTE is to determine the oversampling rate and area of nearest neighbors of SMOTE.Besides,SAE model is utilized as a classification technique to determine the class label of the financial data.At the same time,the MOSSA is applied to appropriately select the‘weights’and‘bias’values of the SAE.An extensive experimental validation process is performed on the benchmark financial dataset and the results are examined under distinct aspects.The experimental values ensured the superior performance of the MOSSA-SAE model on the applied dataset.

Relationship between IoT and Economic Growth:From an Investment Perspective

As a representative of the development and application of information and communication technob ogy （ICr）, the Internet of Things （loT） has attracted world attention. However, the effect of loT on economic growth has not been fully explored. This paper analyzes this issue from the perspective of ICT investment. After analyzing the data of eight representative provinces from 1996 to 2008, we f＇md out that the effect of ICT investment on e- conomic growth is limited and the levels of telecom- munications infrastructure and education are key factors influencing the effect. Thus it＇s necessary to further improve the telecommunications infrastructure and enhance related education and training to promote the effect of loT on economic growth.

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%.

电力物联网背景下综合能源微网调度运行策略研究

在电力物联网深化综合能源系统变革的背景下,物联网从技术层面为综合能源服务提供了新的驱动力,但对其面向更多元的能源生产与消费情景提出了更多要求。传统微网系统已经难以适应新形势下调节多能耦合,及精准预测调度的愿景。文中以综合能源系统为根基,提出面向电力物联网的综合能源微网框架。指出应用层面要实现经济优化调度、综合能源整体布局和能源交易。提出能源供应商面向市场的上、下两层迭代优化调度的新型策略。根据模型特点,上层是以综合能源供应商利润最大为目标函数的优化调度数学模型,采用MATLAB/CPLEX求解器求解。下层为能源市场出清的数学模型,采用粒子群算法求解。通过算例结果表明,综合能源市场能够寻优到最佳社会福利点,能源供应商能够合理分配、利用各能源设备,进一步验证了所提方法的实操性。

物流预算管理在物联网中的应用研究

我国经济发展水平越来越高,在加快推进高科技发展的同时,也在很大程度上促进了国家物流行业的发展。在物流行业不断向前发展的过程中运用物联网技术,能够保障整个物流行业的运营质量和工作质量,有助于国家物流行业朝着现代化方向快速发展。文章首先对物联网的内涵进行介绍,然后对物流经济管理工作中物联网的必要性以及应用要点进行阐释,并就物联网的发展提出有效的创新改进措施,以期为工作人员提供借鉴。

基于物联网技术的垃圾焚烧发电锅炉省煤器安装系统设计

针对垃圾焚烧发电锅炉省煤器安装过程中存在的精度低、效率差等问题,设计一种基于物联网技术的智能化安装系统。该系统通过多种高精度传感器实时采集安装过程中的关键参数,结合先进的数据处理算法和智能控制策略,实现省煤器安装的精确定位和自动调整。实验结果表明,与传统人工安装方法相比,该系统显著提高了安装精度,大幅提升了安装效率,同时减少了人力成本。

基于物联网技术的智能供水监管系统标准化构建

为了实现精细化用水监管,针对目前城市供水监管的现状,文章基于物联网技术构建了高效、便捷的智能供水监管系统,阐述了系统的标准化构建逻辑、子系统设计及应用特点,为城市供水监管提供了新思路和标准。

智慧园区建设探讨

园区是我国经济建设中的一种重要形态,智慧化是今后园区建设发展的必然方向。给出了智慧园区信息服务平台的体系结构,分为感知层、网络层、平台层和(智慧)应用层4个层次,基于该体系结构讨论了园区各个层的建设内容。感知层收集园区数据信息,是智慧的基础;数据互联是智慧的核心,网络层和平台层提供数据互联的基础设施,应用层挖掘数据间的关联,提供各类应用服务,是智慧的体现。分析了智慧园区建设中涉及的若干关键技术,包括物联网、云计算、面向服务的架构(SOA)和安全。智慧园区可看作一组物联网应用,云计算是实现平台层的理性技术,而SOA支持智慧服务的快速开发和部署。最后针对园区建设内容多、周期长等特点,讨论了园区建设规划问题。

物联网环境下物流产业发展关联分析及对策研究——以江西省为例

随着信息技术深入应用于社会经济发展,我国物流业总体步入转型的新阶段。基于物联网技术的智能物流不仅能够促进物流园区信息化水平提高,还为提升物流园区流通能力以及物流园区转型升级和长远发展提供有利条件。江西省物流业处于成长期,地域内物流体系发展不成熟,缺乏科学有效理论研究和指导。地域物流相关研究指导滞后抑制了物流业以及当地物联网产业发展,同时也阻碍江西省的经济发展。本文对江西省内影响智能物流发展的一系列相关因素进行定性定量分析,通过理论与实证分析方法提出促进江西省智能物流发展的策略,为江西省物联网相关产业发展以及提高产业竞争力提供借鉴指导。

物联网产业的统计界定及其分类研究

物联网被称为是继计算机、互联网之后世界信息产业发展的第三次浪潮。作为我国的战略性新兴产业之一,物联网产业是我国目前和未来要重点发展的产业,但是,关于物联网产业尚无明确的统计界定,无形中给该产业的统计研究工作带来了一定的困难。在此背景下,本文在探讨国内外对物联网的界定及存在问题的基础上,提出我国物联网产业的统计界定、划分我国物联网产业统计分类应遵循的原则及其分类框架,并分析该分类与《国民经济行业分类》间的关系。

基于物联网的危机事件应急物资保障建设思考

为在危机处理环节能精确、快速实现应急物资保障,将物联网技术运用于军队危机事件应急救援物资保障网链建设。在分析物联网技术特点、功能优势的基础上,结合危机事件应急救援物资保障需求实际,提出基于物联网技术的军队应急救援物资保障网链建设对策建议。该研究可为建设军事物联网提供一定的参考。

基于网络传输增益-匹配经济指数的配电物联网载波通信匹配优化方法

在配电物联网的主从网络传输模式下,结合配电物联网的实际拓扑结构,提出一种基于网络传输增益-匹配经济指数(WP-NMEI)的配电物联网载波通信匹配优化方法。首先利用传输线理论及局部反射理论,推导主从网络模式下各载波设备间的匹配关系,验证了各从载波机间功率的可协调性;然后综合考虑网络传输增益与匹配经济指数之间的协调平衡,将配电物联网区域划分方法建模为非线性多约束条件下,基于WP-NMEI的0~1整数规划问题;利用改进遗传算法求得配电物联网中继节点设立的最优解,将一个大的复杂配电物联网划分为若干个小的阻抗匹配区域网;最后在每个阻抗匹配区域网内使用粒子群智能算法进行匹配协调,避免网络模式下多通信节点间的功率浪费和阻抗失配问题。该方法匹配优化速度快,可移植性强,理论推导、仿真验证及实验室测试结果表明了该方法的可行性与有效性。

新发展阶段物联网赋能经济高质量发展的路径与支持体系研究

作为数字经济和战略性新兴产业的重要组成部分,基于自身独特的价值创造功能,物联网对我国社会经济全局和长远发展具有强大的引领带动作用。通过在农业、工业、服务业、城市治理、生态环境保护等各类生产生活领域的广泛应用,物联网技术可以成为新阶段助力我国经济实现高质量发展的重要支撑。在新发展阶段,我国应坚持完善和优化物联网赋能经济高质量发展的多维支持体系,通过产业标准支持体系、技术支持体系、人才支持体系、公共服务支持体系以及基础设施支持体系建设,为我国物联网产业的健康有序发展构筑优质高效的物质环境与制度环境,在加快推动物联网技术突破创新和行业应用的同时,更好地发挥物联网赋能经济高质量发展的强大功效。

转变发展方式 建设低碳经济

改革开放30年来,中国经济建设取得巨大成就,但同时也面临日趋严重的环境问题;所以,我国要改变原来的经济发展方式,建设低碳经济。中国正处于工业化及城市化快速发展期,以煤为主的能源结构使中国二氧化碳排放处于世界前列;但人均排放仍大大低于发达国家,因此中国应承担共同但有区别的减排责任。传统产业节能减排,发展循环经济,是走向低碳经济的第一步;发展先进制造技术和采用物联网是走向低碳经济的突破点;调整能源结构,发展核能与可再生能源是建设低碳社会的基础。倡导低碳节能的生活方式,是建设低碳社会的根本保证。

关天经济区物联网产业发展的现状、问题及建议

关天经济区发展物联网产业基础雄厚,拥有相关的先进技术和人力资源,物联网产业示范项目较多。然而关天经济区物联网产业发展中存在物联网产业高端技术标准缺失;物联网产业链不完善;物联网应用成本高;物联网产业成果外流,产业认知度低等问题。文章提出应通过加大行业标准的研发力度;利用现有产业基础,促进现有产业间融合;创新物联网产业发展的商业模式;加大物联网技术研发及推广应用;组建物联网企业集团,实现规模经营等措施促进关天经济区物联网产业的发展。

物联网在广西北部湾经济区特色农业中的应用研究

特色农业信息化、智能化是广西北部湾经济区发展现代农业的有效途径。物联网是近几年信息科学研究的热门领域,其应用研究已上升到国家战略层面。物联网在特色农业中的引入与应用,将对广西北部湾经济区特色农业生产、运输和销售产生深远影响,它将确保特色农业产品质量安全,解决供应链管理中存在的问题,提高综合经济效益,从而引领广西北部湾经济区现代农业的发展。

物联网技术提升设施农业经济效益的策略探讨

该文从农业监管部门和企业的双重角度,结合北京市设施农业物联网应用示范近六年多的实践摸索,提出了制约国内设施农业经济效益的主要因素,并通过物联网技术应用投入与获得的经济效益产出分析,分别构建了设施农业企业种植最低规模和最低运营年限理论模型。根据模型和实践经验探讨一套符合设施农业企业在现实生产中可行、可用、可靠的物联网技术提升设施农业经济效益的策略,实现物联网技术应用价值最大化、最优化,为国内现代设施农业企业和管理部门提供借鉴。