【标题】Patent Abstracts on Industrial Internet of Things
【参考中译】工业物联网专利摘要
【类型】 期刊
【作者】 Nagahanumaiah
【摘要】 Industrial Internet Of Things System For Controlling Production Line Parameter And Control Methods Thereof. Inventor: SHAO ZEHUA; QUAN YAQIANG; XIANG HAITANG; LI YONG; WEI XIAOJUN Applicant: CHENGDU QINCHUAN IOT TECH CO LTD The present disclosure relates to an Industrial Internet of Things (IoT) system for controlling a production line parameter and a control method thereof. The Industrial IoT system includes an user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence, the service platform adopts a centralized arrangement, the management platform adopts an independent arrangement, and the sensor network platform adopts a rear sub-platform arrangement.
【参考中译】 一种用于生产线参数控制的工业物联网系统及其控制方法。发明人：邵泽华；权亚强；向海棠；李勇；魏小军申请人：成都秦川物联网科技有限公司本公开涉及一种用于控制生产线参数的工业物联网系统及其控制方法。工业物联网系统包括依次交互的用户平台、服务平台、管理平台、传感器网络平台、对象平台，服务平台采用集中布置，管理平台采用独立布置，传感器网络平台采用后置子平台布置。
【来源】 MTT 2022, vol.21, no.11/12
【入库时间】 2023/9/27
【标题】Consultingangebote zum Industrial Internet of Things (IIoT): IIoT-Wissen als Businesskompetenz
【作者】 Nico Schroder
【摘要】 Um die digitale Transformation der Fertigung voranzutreiben, sind mehr und mehr IIoT-Consulting-Angebote nutzbar, die aus der Industrie heraus angeboten werden. Vielfaltiges Digitalisierungs-Know-how und gleichsam ihre eigenen Fertigungserfahrungen stellen unter anderem das Porsche-Tochterunternehmen MHP, Emerson Discrete Automation oder auch Schneider Electric zur Verfugung. Den Grad der Automatisierung und Digitalisierung in der Produktion voranzutreiben, damit setzen sich die Industrieunternehmen auseinander. Nur sehen sie auch unterschiedliche Grunde fur Hindernisse ihrer digitalen Transformation. Verschiedene IIoT-Consulting-Angebote - idealer Weise aus der Industrie mit Fertigungserfahrung fur die Fertigung sollen hier Abhilfe schaffen und unterstutzen Fertigungsunternehmen bereits dabei, ihre Wettbewerbsfahigkeit zu sichern und auch auszubauen.
【来源】 Industrie Anzeiger 2023, vol.145, no.7
【标题】Implementation of a Novel Fully Convolutional Network Approach to Detect and Classify Cyber-Attacks on IoT Devices in Smart Manufacturing Systems
【参考中译】智能制造系统中物联网设备网络攻击检测与分类的全卷积网络方法实现
【类型】 会议
【关键词】 Smart manufacturing; Industrial ioT; Machine learning; Cybersecurity
【参考中译】 智能制造；工业物联网；机器学习；网络安全
【作者】 Mohammad Shahin; FFrank Chen; Hamed Bouzary; Ali Hosseinzadeh; Rasoul Rashidifar
【摘要】 In recent years, Internet of things (IoT) devices have been widely implemented and industrially improved in manufacturing settings to monitor, collect, analyze, and deliver data. Nevertheless, this evolution has increased the risk of cyberattacks, significantly. Consequently, developing effective intrusion detection systems based on deep learning algorithms has proven to become a dependable intelligence tool to protect Industrial IoT devices against cyber-attacks. In the current study, for the first time, two different classifications and detection long short-term memory (LSTM) architectures were fine-tuned and implemented to investigate cyber-security enhancement on a benchmark Industrial IoT dataset (BoT-IoT) which takes advantage of several deep learning algorithms. Furthermore, the combinations of LSTM with FCN and CNN demonstrated how these two models can be used to accurately detect cyber security threats. A detailed analysis of the performance of the proposed models is provided. Augmenting the LSTM with FCN achieves state-of-the-art performance in detecting cybersecurity threats.
【参考中译】 近年来，物联网(IoT)设备在制造业环境中得到了广泛实施和行业改进，以监控、收集、分析和交付数据。然而，这种演变显著增加了网络攻击的风险。因此，开发基于深度学习算法的有效入侵检测系统已被证明是保护工业物联网设备免受网络攻击的可靠情报工具。在当前的研究中，首次对两种不同的分类和检测长短期记忆(LSTM)架构进行了微调和实施，以研究基于基准工业物联网数据集(BOT-IoT)的网络安全增强，该数据集利用了几种深度学习算法。此外，LSTM与FCN和CNN的组合展示了这两个模型如何用于准确检测网络安全威胁。对所提模型的性能进行了详细的分析。使用FCN增强LSTM在检测网络安全威胁方面实现了最先进的性能。
【来源】 Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus - Proceedings of FAIM 2022 31st International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2022)