2023 IEEE 21st International Conference on Industrial Informatics (INDIN)最新文献_第4页

Towards the 5G-Enabled Factories of the Future 面向未来的5g工厂

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217837

Melisa López, S. B. Damsgaard, Akif Kabaci, Weifan Zhang, Himanshu Sharma, Sepideh Valiollahi, Ignacio Rodríguez, P. Mogensen

引用次数: 0

PROFINET Security: A Look on Selected Concepts for Secure Communication in the Automation Domain PROFINET安全:自动化领域中安全通信的选定概念

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217985

Andreas Walz, Karl-Heinz Niemann, Julian Göppert, K. Fischer, Simon Merklin, Dominik Ziegler, A. Sikora

{"title":"PROFINET Security: A Look on Selected Concepts for Secure Communication in the Automation Domain","authors":"Andreas Walz, Karl-Heinz Niemann, Julian Göppert, K. Fischer, Simon Merklin, Dominik Ziegler, A. Sikora","doi":"10.1109/INDIN51400.2023.10217985","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10217985","url":null,"abstract":"We provide a brief overview of the cryptographic security extensions for PROFINET, as defined and specified by PROFIBUS & PROFINET International (PI). These come in three hierarchically defined Security Classes, called Security Class 1,2 and 3. Security Class 1 provides basic security improvements with moderate implementation impact on PROFINET components. Security Classes 2 and 3, in contrast, introduce an integrated cryptographic protection of PROFINET communication. We first highlight and discuss the security features that the PROFINET specification offers for future PROFINET products. Then, as our main focus, we take a closer look at some of the technical challenges that were faced during the conceptualization and design of Security Class 2 and 3 features. In particular, we elaborate on how secure application relations between PROFINET components are established and how a disruption-free availability of a secure communication channel is guaranteed despite the need to refresh cryptographic keys regularly. The authors are members of the PI Working Group CB/PG10 Security.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130382511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Outdoor Field Test of 5G-based V2X Communication for Real-Time Monitoring and Remote Control of a Monorail Vehicle 基于5g的V2X通信单轨车辆实时监控与远程控制室外现场试验

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217903

Denis Gustin, Timo Siekmann, Bjorn Kroll, Philip Kleen, S. Schriegel, J. Jasperneite

{"title":"Outdoor Field Test of 5G-based V2X Communication for Real-Time Monitoring and Remote Control of a Monorail Vehicle","authors":"Denis Gustin, Timo Siekmann, Bjorn Kroll, Philip Kleen, S. Schriegel, J. Jasperneite","doi":"10.1109/INDIN51400.2023.10217903","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10217903","url":null,"abstract":"Smart cities will be significantly shaped by their modes of mobility. For the blend of public and individual transport, smart mobility will introduce autonomous vehicles on a large scale, which often heavily rely on communication. As the capabilities of autonomous vehicles are still limited nowadays, driver-less vehicles have to be able to be remotely monitored and controlled in real-time. This creates high performance demands for the vehicle’s communication link, especially regarding latency and uplink, which can easily exceed the limits of communication standards like Long Term Evolution (LTE). Therefore, the development of the communication system for the newly developed autonomous monorail vehicle MONOCAB aims towards the use of the 5G standard. This paper presents experiences and measurements from a first outdoor field test conducted in the context of monitoring and remotely controlling the MONOCAB via 5G. Previously, all communication services were subjected to ITU-T Y.1564 compliant tests for the network planning and the deployment of a 5G Non-Public Network (NPN). This deployed 5G NPN was then used to test remote monitoring the MONOCAB, at it’s first public presentation on the 3rd of October 2022, by transmitting video streams and telemetry data from the vehicle to a central control station. Additionally, a glass-to-glass latency measurement of a video stream transmitted via 5G was conducted, to point out the latency impact of 5G.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115202740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motivational Exploration of Explanations in Industrial Analytics* 工业分析中解释的动机探索*

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217864

Valentin Grimm, Jonas Potthast, J. Rubart

引用次数: 0

Non-Interventional Precise TC Assessment for Enhancing Consumer Energy Flexibility 提高消费者能源灵活性的非介入式精确TC评估

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218232

Christos Mountzouris, Grigorios Protopsaltis, J. Gialelis, G. Theodorou, Nadia Bali, Dimitris Voultsidis

引用次数: 0

Integrated Safety-Security Risk Assessment for Production Systems: A Use Case Using Bayesian Belief Networks 生产系统的综合安全风险评估:使用贝叶斯信念网络的用例

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217926

Pushparaj Bhosale, W. Kastner, T. Sauter

引用次数: 0

Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system 面向信息物理系统的动态横流过滤过程的整体优化

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217913

Jörn Tebbe, T. Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann, Jan Schneider-Barnes

引用次数: 0

External Magnetic Interference Classification in Magnetostrictive Position Sensors using Neuro-Symbolic AI with Log-Likelihood Ratios 基于对数似然比神经符号人工智能的磁致伸缩位置传感器外磁干扰分类

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217878

Aimal Khan, T. König, Florian Liebgott, Thomas Greiner

引用次数: 0

Remote Lab of Robotic Manipulators through an Open Access ROS-based Platform 基于开放存取ros平台的机械臂远程实验室

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218202

Bruno Stefanuto, Luis Piardi, A. O. Júnior, Marco V. B. A. Vallim, Paulo Leitão

{"title":"Remote Lab of Robotic Manipulators through an Open Access ROS-based Platform","authors":"Bruno Stefanuto, Luis Piardi, A. O. Júnior, Marco V. B. A. Vallim, Paulo Leitão","doi":"10.1109/INDIN51400.2023.10218202","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218202","url":null,"abstract":"The research, training, and learning in robotic systems is a difficult task for institutions that do not have an appropriate equipment infrastructure, mainly due to the high investment required to acquire these systems. Possible alternatives are the use of robotic simulation platforms and the creation of remote robotic environments available for different users. The use of the last option surpasses the former one in terms of the possibility to handle real robotic systems during the training process. However, technical challenges appear in the management of the supporting infrastructure to use the robotic systems, namely in terms of access, safety, security, communication, and programming aspects. Having this in mind, this paper presents an approach for the remote operation of real robotic manipulators under a virtual robotics laboratory. To this end, an open access and safe web-based platform was developed for the remote control of robotic manipulators, being validated through the remote control of a real UR3 manipulator. This platform contributes to the research and training in robotic systems among different research centers and educational institutions that have limited access to these technologies. Furthermore, students and researchers can use this educational tool that differs from traditional robotic simulators through a virtual experience that connects real manipulators worldwide through the Internet.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129687339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Imitation Learning from Operator Experiences for a Real time CNC Machine Controller 基于操作员经验的实时数控机床控制器模仿学习

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218164

H. Nguyen, Øystein Haugen, Roland Olsson

{"title":"Imitation Learning from Operator Experiences for a Real time CNC Machine Controller","authors":"H. Nguyen, Øystein Haugen, Roland Olsson","doi":"10.1109/INDIN51400.2023.10218164","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218164","url":null,"abstract":"Controlling complex industrial systems can be a challenging task as it requires extensive knowledge and skills that are usually acquired through years of experience. This makes it difficult to program such expertise into machine algorithms. In this paper, we present a use case that demonstrates how we built control algorithms for a CNC machine using historical logging of observations from experts. With the advent of digital technologies, machining parts are now controlled by computer programs that offer high precision and speed. However, unforeseen scenarios can still arise, which demand operators’ attention and intervention, even with finely crafted machine programs. For our experiment, we collected data from a 5-axis Mazak Integrex i500-series CNC machine over a month manufacturing multiple instances of the same part. We collected observational states, which are sensor data that match the information operators receive and output engagement feed rates following the operator’s trajectories. Using behavioral cloning, we built an initial control policy from this data, testing three families of machine learning models: regression models, ensemble methods, and deep neural networks. The results showed that ensemble methods outperformed the baseline model significantly, proving that they have learned useful control patterns. The policies also demonstrated that ML models could eliminate noisy behaviors from operators’ actions. We believe that with interactive demonstrations in the future, these models have the potential to fully mature. Overall, our study demonstrates the feasibility of building control algorithms for complex industrial systems using historical expert demonstrations and machine learning techniques.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129448713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0