空中交通CPS结构特性及韧性评估

针对空中交通体系结构复杂、耦合性强、脆弱性高的特点,为缓解因受扰导致的级联失效现象,对其结构韧性进行研究。建立了空中交通信息物理系统(CPS)模型,提出同层度与层间度、同层介数与层间介数等指标,分析级联失效过程;提出空中交通CPS韧性的概念,并采用定量评估方法对受损能力和恢复能力进行度量;对比不同扰动-恢复策略下的空中交通CPS表现,制定最佳恢复策略,提高受扰时的韧性。以华东地区空中交通CPS为例进行分析,结果表明:空中交通CPS网络度分布服从幂率分布,介数服从指数分布;在基于介数度值扰动下,采用介数恢复策略可以有效提高受扰时空中交通CPS的韧性。

CPS-SPWM级联H桥激励的变压器铁耗快速计算方法

针对载波移相(CPS)正弦脉宽调制(SPWM)级联H桥激励的变压器,提出一种基于经典损耗分离模型的铁耗快速计算方法.首先,结合SPWM电压波形特征定义集总占空比,并推导其关于调制比的解析模型;其次,基于经典损耗分离模型和集总占空比,构建CPS-SPWM级联H桥的铁耗计算模型,该方法可以直接使用调制比、直流母线电压等参数对铁耗进行计算,从而避免传统方法中的谐波分析或者数值积分过程;再次,基于本文铁耗计算模型,提出了一种针对SPWM电压激励的有限元(FEM)仿真等效方法,最后,通过实验验证了本文计算方法的有效性.研究结果表明:等效仿真铁耗误差小于3.6%、仿真用时减少74.5%;最大铁耗计算误差为7.6%.

新工科背景下CPS与工业物联网实践课程教学探索

CPS与工业物联网实践课程是高等学校智能制造工程新工科专业的一门专业实践必修课。本文首先介绍了 CPS与工业物联网实践课程,然后分析了CPS与工业物联网实践课程的特征,再提出了学生参与度不强、实践项目创新 度不够、三大项目之间关联度不强和课程考核方式单一四大难题,最后提出科学分组、紧跟生产实践/分享创新案例、串 联三大实践项目和丰富课程考核方式四种教学改革措施,为高等院校智能制造人才培养提供参考。

针对电力CPS数据驱动算法对抗攻击的防御方法

大规模电力电子设备的接入为系统引入了数量庞大的强非线性量测/控制节点,使得传统电力系统逐渐转变为电力信息物理系统(cyber-physical system,CPS),许多原本应用模型驱动方法解决的系统问题不得不因维度灾难等局限转而采取数据驱动算法进行分析。然而,数据驱动算法自身的缺陷为系统的安全稳定运行引入了新的风险,攻击者可以对其加以利用,发起可能引发系统停电甚至失稳的对抗攻击。针对电力CPS中数据驱动算法可能遭受的对抗攻击,从异常数据剔除与恢复、算法漏洞挖掘与优化、算法自身可解释性提升3个方面,提出了对应的防御方法:异常数据过滤器、基于生成式对抗网络(generative adversarial network,GAN)的漏洞挖掘与优化方法、数据-知识融合模型及其训练方法,并经算例分析验证了所提方法的有效性。

基于CPS的异构数据交互模型设计研究

针对传统多源异构数据集成模型难以在信息物理融合系统(Cyber-physical system,CPS)中采用中间件实现异构系统概念层关系映射、传输性能低和系统拓展性差等问题,设计出一个基于CPS的异构数据交互模型。所设计模型可实现仿真和物理系统的概念映射;定义控制类和监测类元数据,并根据各类数据采取全量字段或增量字段更新以减轻网络负载;以Protobuf协议为基础搭建通信模型,使系统扩展性能大幅提升;以高层体系结构(High level architecture,HLA)/数据分析服务(Data distribution service,DDS)搭建异构系统交互模型,有效确保CPS的交互实时性。

A Review on Security and Privacy Issues Pertaining to Cyber-Physical Systems in the Industry 5.0 Era

The advent of Industry 5.0 marks a transformative era where Cyber-Physical Systems(CPSs)seamlessly integrate physical processes with advanced digital technologies.However,as industries become increasingly interconnected and reliant on smart digital technologies,the intersection of physical and cyber domains introduces novel security considerations,endangering the entire industrial ecosystem.The transition towards a more cooperative setting,including humans and machines in Industry 5.0,together with the growing intricacy and interconnection of CPSs,presents distinct and diverse security and privacy challenges.In this regard,this study provides a comprehensive review of security and privacy concerns pertaining to CPSs in the context of Industry 5.0.The review commences by providing an outline of the role of CPSs in Industry 5.0 and then proceeds to conduct a thorough review of the different security risks associated with CPSs in the context of Industry 5.0.Afterward,the study also presents the privacy implications inherent in these systems,particularly in light of the massive data collection and processing required.In addition,the paper delineates potential avenues for future research and provides countermeasures to surmount these challenges.Overall,the study underscores the imperative of adopting comprehensive security and privacy strategies within the context of Industry 5.0.

Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System

Mobile networks possess significant information and thus are considered a gold mine for the researcher’s community.The call detail records(CDR)of a mobile network are used to identify the network’s efficacy and the mobile user’s behavior.It is evident from the recent literature that cyber-physical systems(CPS)were used in the analytics and modeling of telecom data.In addition,CPS is used to provide valuable services in smart cities.In general,a typical telecom company hasmillions of subscribers and thus generatesmassive amounts of data.From this aspect,data storage,analysis,and processing are the key concerns.To solve these issues,herein we propose a multilevel cyber-physical social system(CPSS)for the analysis and modeling of large internet data.Our proposed multilevel system has three levels and each level has a specific functionality.Initially,raw Call Detail Data(CDR)was collected at the first level.Herein,the data preprocessing,cleaning,and error removal operations were performed.In the second level,data processing,cleaning,reduction,integration,processing,and storage were performed.Herein,suggested internet activity record measures were applied.Our proposed system initially constructs a graph and then performs network analysis.Thus proposed CPSS system accurately identifies different areas of internet peak usage in a city(Milan city).Our research is helpful for the network operators to plan effective network configuration,management,and optimization of resources.

Security Analysis in Smart Agriculture: Insights from a Cyber-Physical System Application

Smart agriculture modifies traditional farming practices,and offers innovative approaches to boost production and sustainability by leveraging contemporary technologies.In today’s world where technology is everything,these technologies are utilized to streamline regular tasks and procedures in agriculture,one of the largest and most significant industries in every nation.This research paper stands out from existing literature on smart agriculture security by providing a comprehensive analysis and examination of security issues within smart agriculture systems.Divided into three main sections-security analysis,system architecture and design and risk assessment of Cyber-Physical Systems(CPS)applications-the study delves into various elements crucial for smart farming,such as data sources,infrastructure components,communication protocols,and the roles of different stakeholders such as farmers,agricultural scientists and researchers,technology providers,government agencies,consumers and many others.In contrast to earlier research,this work analyzes the resilience of smart agriculture systems using approaches such as threat modeling,penetration testing,and vulnerability assessments.Important discoveries highlight the concerns connected to unsecured communication protocols,possible threats from malevolent actors,and vulnerabilities in IoT devices.Furthermore,the study suggests enhancements for CPS applications,such as strong access controls,intrusion detection systems,and encryption protocols.In addition,risk assessment techniques are applied to prioritize mitigation tactics and detect potential hazards,addressing issues like data breaches,system outages,and automated farming process sabotage.The research sets itself apart even more by presenting a prototype CPS application that makes use of a digital temperature sensor.This application was first created using a Tinkercad simulator and then using actual hardware with Arduino boards.The CPS application’s defenses against potential threats and vulnerabilities are strengthened by this integrated approach,which distinguishes this research for its depth and usefulness in the field of smart agriculture security.

基于CPS和VMD的实时电力需求饱和自适应预测

电力数据具有非平稳性和随机性的特点,导致电力需求预测结果误差较大,为此,提出基于CPS和VMD的实时电力需求饱和自适应预测方法。基于CPS与VMP建立自适应变分模态分解模型,利用实时电力需求序列和各模态分解余量之间的信息散度差来判断相关性程度,实现模态分解,通过自适应模态分解得到电力需求序列的分解余量,依靠其建立自适应预测模型,并对模型进行训练,完成对实时电力需求饱和自适应预测。实验结果表明,设计方法预测结果的平均绝对误差低于5.0,平均绝对百分比误差低于2.45%。

Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids

Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.

CPS1基因新发变异致氨基甲酰磷酸合成酶1缺乏症1例并文献复习

目的提高氨基甲酰磷酸合成酶1缺乏症表型及基因型认识。方法回顾性分析中南大学湘雅二医院儿童医学中心新生儿专科1例氨基甲酰磷酸合成酶1缺乏症的诊治过程。结果男性患儿,17 d,因出生后反应差,反复吐奶17 d入院。血串联质谱示瓜氨酸3.63~4.35μmol/L,血氨波动于117.12~905.4μmol/L;全外显子基因测序发现CPS1基因母源性c.1912C>T无义变异和父源性c.3389C>A错义变异,确诊氨基甲酰磷酸合成酶1缺乏症。CPS1基因c.3389C>A变异位点未见文献报道。结论对反应差及呕吐新生儿,需警惕尿素循环障碍,积极基因检测可明确诊断。

CPS防水卷材在公路房建项目施工中的应用

结合甘肃省某国道服务区升级改造项目消防蓄水池、地埋式污水处理设施防水施工管理现状,从CPS防水卷材的材料性能、防水施工原理、工艺特点、材料选用、防水施工质量管控、工程细部处理等角度出发,通过与传统防水卷材施工工艺的对比分析,总结了CPS防水卷材在经济效益和安全环保效益等方面所具有的优势,总结、探讨提升房建项目地下工程防水施工质量的技术保障措施。

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

Cyber-physical power system(CPPS)has significantly improved the operational efficiency of power systems.However,cross-space cascading failures may occur due to the coupling characteristics,which poses a great threat to the safety and reliability of CPPS,and there is an acute need to reduce the probability of these failures.Towards this end,this paper first proposes a cascading failure index to identify and quantify the importance of different information in the same class of communication services.On this basis,a joint improved risk-balanced service function chain routing strategy(SFC-RS)is proposed,which is modeled as a robust optimization problem and solved by column-and-constraint generation(C-CG)algorithm.Compared with the traditional shortest-path routing algorithm,the superiority of SFC-RS is verified in the IEEE 30-bus system.The results demonstrate that SFC-RS effectively mitigates the risk associated with information transmission in the network,enhances information transmission accessibility,and effectively limits communication disruption from becoming the cause of cross-space cascading failures.

基于CPS反应黏结型防水卷材的地下室顶板非固化防水设计与施工

针对地下室顶板非固化防水的需求,提出了一种基于CPS反应黏结型防水卷材的施工方法,结合工程实例,介绍了该施工方法的应用,包括施工前的准备过程和施工工艺,并通过对比试验分析该防水层的拉伸强度、工期和抗渗系数。

6.25 m焦炉CPS系统常见问题分析及改进

三钢6.25 m 3号焦炉采用炭化室压力稳定系统,简称CPS系统,该应用可以实现焦炉无烟装煤以及结焦过程中各炭化室的压力稳定。CPS系统依据装煤、出焦信号,自动完成相应操作,提高了焦炉生产的自动化水平。在投产前期,CPS系统经常出现问题,但通过不断摸索、研究,并针对性地进行改进处理后,相关故障基本上得以消除。

基于CPS模型的高中物理校本课程教学研究——以“中学物理与现代前沿应用”校本课程为例

为了填补国家课程物理课堂教学中核心素养落实的不足,尝试在物理学科类校本课程教学过程中融入核心素养,并重点突出创新实践能力,在基于CPS模型的《中学物理与现代前沿应用》这门校本课程的教学实施过程中,既能与常规物理课堂紧密联系,又始终立足于学生自主发展,为学生创新能力的提升以及个性化发展创设了丰富的机会,取得了比较明显的成效,积累了一定的经验.

工业互联网安全风险防控中的CPS应用探索

随着数字技术与传统基础设施的紧密结合,工业互联网已然逐步成为新基建领域的核心战场。新基建催生的全新产业形态和发展模式,势必带来全新的风险和挑战,这也是与传统环境相比较明显的差异之一。在全力推进“新基建”的过程中,必须高度警惕并防范可能出现的各类新型风险,将预防及管控工业风险视为至关重要的一环。因此,针对工业互联网安全风险防控中的信息物理融合系统(Cyber Physical Systems,CPS)应用展开研究。

基于CPS的建筑结构健康监测网内决策研究

在当代社会,随着城市化进程的加速和基础设施建设规模的不断扩大,建筑结构的安全性与耐久性已成为社会关注的焦点。传统的建筑结构监测方法往往依赖于人工定期检查,不仅效率低下,而且难以实时、准确地捕捉到结构的细微变化,特别是在极端天气事件和自然灾害频发的背景下,这种监测方式的局限性愈发凸显。因此,基于Cyber-Physical Systems(CPS,信息物理系统)的建筑结构健康监测网络应运而生,为实现建筑结构智能化、实时化的健康管理提供了新的技术路径。本研究旨在深入探讨基于CPS的建筑结构健康监测网络中的决策机制与优化策略,期望能够为建筑结构的全生命周期管理提供一个系统化、智能化的解决方案,有效提升公共安全水平,延长建筑使用寿命,并为应对突发事件提供快速响应能力。

基于CPS的设备管理研究与应用

制造企业在智能制造改革过程中的主要目的是降低生产成本,提高生产效益,而当前生产设备的低利用率成为制约其发展的一大重要因素。对制造企业当前面临的生产状况进行分析,并将信息物理系统与企业的实际情况相结合,使用层次化的方法设计了一套设备管理系统。通过系统的建设,改善了数控机床的生产状况,使得生产设备得到了充分的利用,科学有效地提高了企业的生产效率,最终实现降本增效的目的。

基于“ CPS +智慧技能”模型的《图形创意》教学实践三步法

《图形创意》是设计类专业常开设的专业基础课程。文本根据学情分析,探讨了传统教学模式的不足,并提出了“CPS+智慧技能”的教学模型,引导学生开展“认知、体验、创新”三步法的主题化实践;通过建立的混合教学模式,利用线上平台开展理论教学和案例调研,线下平台进行方法学习和创意体验,增加了师生互动的方式,最终提升了课程教学效果,对学生的创意设计能力和审美力的培养有积极的作用。