Industrial Internet Platform (IIP) enabled Smart Product Lifecycle-Service System (SPLSS) for manufacturing model transformation: From an industrial practice survey

Nowadays, the focus of enterprises is gradually expanding from product manufacturing system to Product service system (PSS). In the existing research, scholars mainly focus on the in-depth study of a certain method or technology, and the research on traditional PSS is relatively mature. In addition, it is a tendency that transform towards SPLSS with the characteristics of industrial internet platform (IIP) and sustainable operation theory. Based on this, this paper explores the research path from traditional product service system (PSS) to smart product service system (SPSS), and then to smart product lifecycle service system (SPLSS), which can endow the products with intelligent perception, intelligent analysis and intelligent decision-making capabilities based on Industrial Internet Platform (IIP). A reference model of IIP enabled SPLSS for industrial services based on system engineering method and theory from a very detailed practical investigation is proposed. Moreover, on the basis of this model, its three dimensional subsystems are expanded, including: supporting environment subsystem, evolution path subsystem, and added value subsystem. The study can provide a reference for the enterprise's manufacturing strategy and manufacturing path. It will promote the transformation and upgrading of enterprise manufacturing model to improve service efficiency and reduce operating costs, and then realize the value-added of products and services.     

工业物联网网关的研究与实现

工业物联网是工业领域的物联网技术,是新一代信息技术的重要组成部分。在工业物联网体系架构中,感知层网络和工业互联网之间需要一个网关设备,实现工业互联网与传感层网络的互联互通。工业物联网网关旨在解决当前感知层网络设备的横向不关联,无法联动控制和统一管理的问题。网关以工业互联网为载体进行信息交换,把分散在各种工业现场的感知网络设备信息进行采集、存储、分析、管理。本文研究了一种工业物联网网关设计及实现方案。该方案设计基于ARM9平台,采用Linux操作系统,集成多种通用工控通讯协议、物联网通讯协议及互联网通讯协议,实现物联网感知层与工业互联网应用层之间的无缝对接。     

基于分布式思想构筑面向化工行业的工业互联网安全堡垒

伴随工业互联网的提出和推进,我国化工行业已开始将工业互联网广泛应用到工业生产的各个环节,并成为企业经营管理的常规手段,以优化现有生产流程、提升企业与市场的沟通能力、促进企业可持续性发展,使得工业互联网技术和工业生产不再相互独立进行、不再是单方的带动和促进关系,而是两者在技术、产品、管理等各个层面相互交融、彼此不可分割。然而,化工行业的各个生产、销售环节较为分散,设备、系统等存在的安全隐患无法及时收集、全面汇总、统一分析,造成潜在的网络安全风险长期存在于化工行业生产中,给企业安全生产带来影响。将基于分布式思想探讨化工行业的工业互联网安全防御体系。     

Intelligent Intrusion Detection for Industrial Internet of Things Using Clustering Techniques

The rapid growth of the Internet of Things (IoT) in the industrial sector has given rise to a new term: the Industrial Internet of Things (IIoT). The IIoT is a collection of devices, apps, and services that connect physical and virtual worlds to create smart, cost-effective, and scalable systems. Although the IIoT has been implemented and incorporated into a wide range of industrial control systems, maintaining its security and privacy remains a significant concern. In the IIoT contexts, an intrusion detection system (IDS) can be an effective security solution for ensuring data confidentiality, integrity, and availability. In this paper, we propose an intelligent intrusion detection technique that uses principal components analysis (PCA) as a feature engineering method to choose the most significant features, minimize data dimensionality, and enhance detection performance. In the classification phase, we use clustering algorithms such as K-medoids and K-means to determine whether a given flow of IIoT traffic is normal or attack for binary classification and identify the group of cyberattacks according to its specific type for multi-class classification. To validate the effectiveness and robustness of our proposed model, we validate the detection method on a new driven IIoT dataset called X-IIoTID. The performance results showed our proposed detection model obtained a higher accuracy rate of 99.79% and reduced error rate of 0.21% when compared to existing techniques.     

Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system

In this paper, we intend to address the value creation of utilizing the Industrial Internet of Things (IIoT)-driven resource synchronization and sharing-based robotic mobile fulfillment system (RMFS) to enhance the overall operational effectiveness and efficiencies during information transfer and synchronization of resources. With the advent of IIoT, a graph theory-based heuristic under the multi-deep RMFS is used for computing the shortest path. A-star, Dijkstra, and genetic heuristic algorithms are applied for comparison. A simulation with a consideration of the different types of collisions is conducted for different algorithms. By providing a new three-tier IIoT architecture which includes the suppliers, RMFS, and the disposal center, a model is developed with different storage location assignment rules and strategies under the particular parties to minimize the operation costs. IIoT enables resource synchronization and information sharing, and the path will be generated under different order scenarios with different algorithms. The results show that different storage assignment rules and strategies may lead to 30% cost differences compared to the company’s current practice with random storage.     

物联网和服务架构的食品安全信息平台模型

针对食品供应链管理和质量安全的跟踪和追溯需求,利用物联网技术,参照EPC标准,提出了一种基于物联网和服务架构的食品安全信息平台模型,描述了RFID技术在Internet基础上实现食品的全程跟踪管理的E-R模型、网络架构、技术框架和功能模块,可通过Web Service和智能手机等多种方式查询追溯详细的电子信息.     

物联网安全分析研究

物联网的安全问题和隐私问题是制约物联网建设与发展的一个重要因素,研究了物联网目前存在的安全威胁及应对措施,通过分析物联网的三层安全体系结构,得出物联网各层安全问题所在,并针对各层存在的安全问题给出相应的安全对策,为物联网安全与隐私保护提供理论参考。     

面向社交物联网的移动端应用系统研究与实现

社交物联网是社交网络与物联网有机融合的新型网络,相应的社交物联网应用系统越来越得到人们的关注。社交物联网应用系统主流的架构是基于代理的模式连接物联网与社交网络,而有关社交网络直接应用物联网设备资源及其服务的模式仍有欠缺。物联网设备和服务资源如何作为社交网络的重要属性被社交网络发现、搜索和应用;用户、设备和服务资源如何通过社交网络进行共享等问题还有待解决。该研究面向社交物联网的基本应用,设计了一种将社交网络与物联网统一起来的应用系统。该系统以移动端应用程序开发平台作为开发工具,在应用程序开发框架内进行相关设计和开发,以社交网络应用、物联网设备管理、物联网设备的服务搜索等功能为主,解决了社交物联网中用户、设备和服务资源的统一共享问题。     

IPv6工业物联网在流量仪表中的应用

随着互联网、信息通信等技术的发展,物理世界与信息世界的互联互通得以实现。工业物联网技术把物品与互联网连接起来,进行信息共享与通信,实现物品的智能化识别、定位、跟踪、监控和管理,在传统工业中不断发挥优势。但是既有的IPv4网络环境制约了工业物联网的进一步发展,IPv4地址资源已无法满足大规模工业物联网环境下的使用。利用具有海量地址空间的IPv6工业物联网,打破底层设备技术多样性带来的互通信与互操作障碍,提升寻址能力、服务质量和安全性能,在流量仪表的应用场景中形成应用方案,完成"设备端-网络端-服务端"的结构设计。最后,对基于IPv6工业物联网在流量仪表中的应用方案进行验证,实现计量数据的采集与传输,生产现场的监控与管理,达到降低运维成本,提高生产效率和产品质量的目的。     

高职院校物联网应用技术专业建设探讨

物联网是继计算机、互联网之后的第三次信息产业浪潮,是战略新兴产业,具有广阔的市场前景,未来几年,物联网专业人才供不应求。从物联网的产业发展情况、物联网产业人才需求状况、物联网专业建设的思路和和物联网专业建设的思考等方面进行论述,探讨高职院校的物联网应用技术专业建设,为培养高素质技能型物联网专业人才提供参考。     

基于边缘计算的物联网技术在智能油气田中的应用研究

在工业物联网(IIoT,Industrial Internet of Things)环境中部署机器学习已成为石油和天然气行业研究最多的课题之一。提出了一种基于边缘计算的智能油气田物联网系统,该系统以边缘计算的机器学习模型为核心,结合智能RTU的采集传输数据,两者相互补充利用。通过卡尔曼滤波器(KF, Kalman Filter)实现对数据的异常值侦测,利用边缘计算对数据安全分析进行了对策研究,完成油气生产的动态在线监测和控制,有效提高油气生产管理的智能化水平,满足智能化气田井场的远程监控要求。     

惠州市发展物联网存在的问题及对策

培育和发展物联网产业,对于惠州市加快经济发展、走产业高端化道路具有重要的战略意义。鉴于惠州市物联网发展具有一定的技术和产业基础,文章结合惠州市物联网的发展现状,深入分析了惠州市发展物联网目前还存在的一些问题,并针对性地提出了相应的对策和建议。     

时间敏感型网络技术综述

时间敏感型网络(TSN)是目前国际产业界正在积极推动的工业通信技术。阐述了TSN技术产生的背景、工业物联网以及新制造转型中对于工业通信的需求,并从技术角度对TSN进行了全面的介绍。通过对当前国际上重要的TSN标准组织、企业、大学与研究机构的TSN实践进行分析,全面梳理了其发展简要历程、相关国际标准、实现架构与方法、开发、测试与验证、应用前景等。通过这些分析,以全局视角分析该技术对于产业的推动作用,以及未来发展趋势和在智能制造、工业互联网领域的前景,并希望国内的产业、标准化组织、大学等能够积极加强对其更为深入的研发、测试,以获得市场的先机。     

DT-II:Digital twin enhanced Industrial Internet reference framework towards smart manufacturing

In this paper, the interplay and relationship between digital twin and Industrial Internet are discussed at first. The sensing/transmission network capability, which is one of the main characteristics of Industrial Internet, can be a carrier for providing digital twin with a means of data acquisition and transmission. Conversely, with the capability of high-fidelity virtual modeling and simulation computing/analysis, digital twin evolving from lifecycle management for a single product to application in production/manufacturing in the shop-floor/enterprise, can further greatly enhance the simulation computing and analysis of Industrial Internet. This paper proposes a digital twin enhanced Industrial Internet (DT-II) reference framework towards smart manufacturing. To further illustrate the reference framework, the implementation and operation mechanism of DT-II is discussed from three perspectives, including product lifecycle level, intra-enterprise level and inter-enterprise level. Finally, steam turbine is taken as an example to illustrate the application scenes from above three perspectives under the circumstance of DT-II. The differences between with and without DT-II for design and development of steam turbine are also presented.     

物联网技术的架构与应用

物联网被视为继计算机、互联网和移动通信网络之后的第三次信息产业浪潮,因其广阔的行业应用前景而受到了各国政府的重视。物联网的架构体系、关键技术对物联网的应用起到了决定性作用。物联网应用可以改变传统行业的管理模式,让管理变得更加智能,更加高效。     

基于安防受控箱的定位监控平台的设计

系统的开发与设计便是以安防受控箱为实物,物流行业为基础的一个物联网监控平台的设计,设计了以SpringBoot技术框架的监控管理平台。基于Thymeleaf模板的网页开发,SpringMVC的三层开发框架,MyBatis的数据库持久化层,Spring框架对于表现层、业务层、数据持久化层的整合完成了该系统的设计。该平台包括任务管理、基础信息、统计分析、系统维护、人员管理等模块,通过从受控箱不断传回收集到的数据,能够实现受控箱的监控状态、实时路径、异常报警等具体功能,以及系统及人员管理相关具体功能。     

政府补贴和成本共担如何影响平台和企业策略选择-----基于三方演化博弈

基于地方政府对工业互联网平台和加入平台的制造业企业的补贴,以及工业互联网平台与制造业企业间的成本共担,构建"政府-平台-企业"3个主体之间的非对称演化博弈模型,运用微分方程的稳定性定理分析各博弈主体的策略演化路径以及影响其策略演化的因素,并通过雅克比矩阵探讨系统的演化稳定策略.通过数值仿真分析政府补贴力度和平台成本分担比例对系统演化稳定策略的影响,界定可以促使制造业企业加入平台、工业互联网平台进行优化服务的政府补贴力度和成本分担比例的有效区间,为地方政府、工业互联网平台和制造业企业的行为决策提供理论参考.     

基于工业物联网的汽车工业敏捷规划轻量级仿真模型

针对改进汽车工业的规划和流程分析方法进行了研究。为解决传统工业工程分析方法和仿真工具在规划任务中实施周期长,投入代价大,不能快速有效地支撑规划项目的问题,提出了一种基于DEVS（discrete event system specification）理论的EVA（efficiency validate analysis）仿真框架模型,并结合工业物联网技术,组合建立了一种敏捷的生产线规划分析方法。通过在发动机平衡轴生产线升级规划任务中实践检验,与传统的规划工作方法进行了比较,实践结果证明了新方法能显著提高建模和仿真工作的效率,并更有效地支持汽车工业中的规划工作。同时为实现实体物理世界和虚拟信息世界的快速有效互动,推动物联网技术和数字化技术与工业生产更深度地结合,带来了有价值的启发。     

Journey from cloud of things to fog of things: Survey,new trends,and research directions

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer satisfactory services for latency-sensitive and real-time applications due to high latency and scalability issues. Hence, an emerging computing paradigm named as fog/edge computing was evolved, to offer services close to the data source and optimize the quality of services (QoS) parameters such as latency, scalability, reliability, energy, privacy, and security of data. This article presents the evolution in the computing paradigm from the client-server model to edge computing along with their objectives and limitations. A state-of-the-art review of Cloud Computing and Cloud of Things (CoT) is presented that addressed the techniques, constraints, limitations, and research challenges. Further, we have discussed the role and mechanism of fog/edge computing and Fog of Things (FoT), along with necessitating amalgamation with CoT. We reviewed the several architecture, features, applications, and existing research challenges of fog/edge computing. The comprehensive survey of these computing paradigms offers the depth knowledge about the various aspects, trends, motivation, vision, and integrated architectures. In the end, experimental tools and future research directions are discussed with the hope that this study will work as a stepping-stone in the field of emerging computing paradigms.     

地质灾害预警系统中的安全问题研究

地质灾害预警是物联网应用领域之一,但由于业务的特殊性,对于安全也有不同要求。在物联网安全的研究基础上,探讨了物联网应用于地质灾害预警时可能出现的安全问题及应对措施,并针对预警业务提出应用框架。该框架采用防火墙和集中身份验证等技术,能够应对预警信息安全要求。同时能对基于物联网的电子政务系统安全研究提供借鉴。