2023 IEEE 21st International Conference on Industrial Informatics (INDIN)最新文献_第3页

Reusing OPC UA information models in the Asset Administration Shell 在资产管理Shell中重用OPC UA信息模型

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218292

Weiss Arno, Reichelt Dirk

引用次数: 0

Generation of Synthetic Data to Improve Security Monitoring for Cyber-Physical Production Systems 生成综合数据以改善网络物理生产系统的安全监控

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218171

Felix Specht, J. Otto, Daniel Ratz

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HIL Simulation of the Positioning Control for an Automated Driving Monorail Vehicle 自动驾驶单轨车辆定位控制的HIL仿真

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218259

Raphael Hanselle, M. Griese, R. Rasche, T. Schulte

{"title":"HIL Simulation of the Positioning Control for an Automated Driving Monorail Vehicle","authors":"Raphael Hanselle, M. Griese, R. Rasche, T. Schulte","doi":"10.1109/INDIN51400.2023.10218259","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218259","url":null,"abstract":"Currently, numerous single-track railway lines are disused due to economic reasons. However, one way they could be reactivated for a bidirectional on-demand service traffic is by small vehicles that use only one rail. MONOCABs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a trim mass. They could make an important contribution to improve the mobility offer especially in rural areas. Regarding the MONOCAB, there is currently no reference in comparison with other vehicles. It is mandatory to gain experience before transferring such a new vehicle concept into commercial operation. To ensure the function and safety of the vehicle even before implementation, a model-based design of the system is carried out for development and analysis. In order to test the developed algorithms, this paper presents a Hardware-in-the-loop structure considering a detailed model of the vehicle and real electronic control units to accurately represent the overall system. This paper focuses on the driving system of the vehicle and investigates interdependencies with the performance of the electronic control units and communication networks.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"116 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":"117247466","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

Privacy in Local Energy Markets: A Framework for a Self-Sovereign Identity based P2P-Trading Authentication System 地方能源市场中的隐私:基于自我主权身份的p2p交易认证系统框架

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218046

M. Volkmann, Shashank Shekher Tripathi, Sascha Kaven, Carsten Frank, Volker Skwarek

{"title":"Privacy in Local Energy Markets: A Framework for a Self-Sovereign Identity based P2P-Trading Authentication System","authors":"M. Volkmann, Shashank Shekher Tripathi, Sascha Kaven, Carsten Frank, Volker Skwarek","doi":"10.1109/INDIN51400.2023.10218046","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218046","url":null,"abstract":"The energy sector is part of the critical infrastructure in modern society where security and privacy concerns of the customers of this infrastructure have been well studied and addressed. In the classical power grid, consumers are being supplied by a major power grid operator who has been government-sanctioned and therefore has to adhere to privacy and security guidelines. In recent years, however, with the shift to the usage of renewable energies, new concepts for the trading of energy flexibilities have emerged, that enable consumers with their own energy production to sell their spare energy back to the market. While reducing the load from the grid operators by enabling peer-to-peer trading between grid participants, this comes with new privacy concerns, which have to be addressed and regulated.This work proposes a conceptual framework based on Self-Sovereign Identity (SSI) to establish a secure and private peer-to-peer trading system between energy market participants, which provides the participants control over their own digital identity and what data these participants want to share with peers. Furthermore, this work discusses the proposal’s effects and implications on system security and user privacy.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"18 6 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":"125836653","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

Keynotes 主题演讲

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/indin51400.2023.10218116

引用次数: 0

A novel blade crack detection method based on diffusion model with acoustic-vibration fusion 基于声-振动融合扩散模型的叶片裂纹检测新方法

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218056

Xun Zhao, Feiyun Xu, Di Song, Junxian Shen, Tianchi Ma

{"title":"A novel blade crack detection method based on diffusion model with acoustic-vibration fusion","authors":"Xun Zhao, Feiyun Xu, Di Song, Junxian Shen, Tianchi Ma","doi":"10.1109/INDIN51400.2023.10218056","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218056","url":null,"abstract":"Compressors are now widely used in industry and engineering, and blades are one of the most important components in compressors. The performance of the blades directly affects the operating condition and life of the compressor. Currently, the mainstream method for diagnosing and classifying blade faults is based on vibration signal diagnosis. However, traditional methods are limited by the large influence of noise on vibration signals and the singularity of features, and their accuracy and efficiency are relatively low. In addition, as a mainstream diagnostic method, fault diagnosis based on neural networks also suffers from limitations in network structure and data volume, which reduces the generalization of diagnostic methods. Therefore, this paper proposes a new blade fault diagnosis network based on the diffusion model. Specifically, to improve the integrity of the features used for diagnosis, this paper first proposes a learnable weight fusion module and applies it to the fusion process of sound and vibration signals. Secondly, the diffusion model is introduced to generate normal blade signals under corresponding operating conditions when fused features of blades with faults are input. Finally, after obtaining the fused features of normal blades under corresponding operating conditions, the input-output feature difference of the diffusion model is used as the input of the classification network to achieve blade fault diagnosis. In experimental tests, the method proposed in this paper outperforms the current mainstream blade fault diagnosis methods on actual blade fault data. In addition, comparative experiments and ablation experiments also prove the effectiveness of the proposed method.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"24 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":"126282290","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

Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups 从几个过去的设置中学习新产品包装线的自动设置

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217972

Steven Koppert, Maximilian Bause, C. Henke, A. Trächtler

引用次数: 0

Integration of Reinforcement Learning into Fluid Control Systems 强化学习在流体控制系统中的集成

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10217854

Moritz Allmendinger, N. Stache, F. Tränkle

{"title":"Integration of Reinforcement Learning into Fluid Control Systems","authors":"Moritz Allmendinger, N. Stache, F. Tränkle","doi":"10.1109/INDIN51400.2023.10217854","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10217854","url":null,"abstract":"Reinforcement Learning (RL) is becoming increasingly important in closed-loop controller design. RL controllers adaptively adjust to time-variant and nonlinear system/environmental characteristics and learn automatic controller parameterization without plant modeling. This paper investigates whether RL can be used as a control strategy for a pneumatic pressure control unit in time-pressure dosing (TPD) systems. These nonlinear systems are characterized by actuator hystereses and discrete-event driven changes in system dynamics depending on the system state. Further challenge in control arises from manipulating two actuators by one single control signal. We apply the Deep Deterministic Policy-Gradient (DDPG) agent and perform the training in loop with a first principles simulation model of the system dynamics in Simulink. We introduce a reward function to achieve the required steady-state accuracy and eliminate oscillating actuation. The trained RL controller is implemented on a 32-bit STM32F405 microcontroller by automatic code generation and is evaluated against an existing PI controller. The results show that the RL controller can control the pressure of TPD systems with the existing nonlinearities and discrete-event changes in system dynamics. Although the time constants of the real system differ from those of the simulation model, the RL controller still meets the requirements of the control loop. Compared to the PI controller, the RL controller improves the closed-loop dynamics by achieving lower time constants.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"34 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":"124979320","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

A microservices-based architecture for data and software management of heavy equipment digital twins 基于微服务的重型设备数字孪生数据和软件管理体系结构

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218021

V. Zhidchenko, Egor Startcev, Juha Kortelainen, Akhtar Zeb, Leo Torvikoski, Saeid Torkabadi, H. Handroos

{"title":"A microservices-based architecture for data and software management of heavy equipment digital twins","authors":"V. Zhidchenko, Egor Startcev, Juha Kortelainen, Akhtar Zeb, Leo Torvikoski, Saeid Torkabadi, H. Handroos","doi":"10.1109/INDIN51400.2023.10218021","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218021","url":null,"abstract":"Digital twins improve the performance of heavy equipment and decrease its operational costs. To be effective, they must run along decades of a real machine lifecycle. Ensuring coherence between a real machine and its digital twin over such a long period is a challenging task that has not yet been well-studied. This task involves preserving the design and operational data and periodic execution of digital twin software that processes such data. The circumstances of heavy equipment operation complicate the task. This paper considers the problem of digital twin data and software management in light of the unique challenges related to heavy equipment. It presents an experimental case study for running digital twins of mobile log cranes using a data model and a microservices-based architecture developed by the authors. The results demonstrate the capability of the architecture for running physics-based digital twins of heavy equipment in a heterogeneous execution environment consisting of local, edge, and cloud computing resources.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"51 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":"133092272","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

Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning 基于集成学习的安全关键工业系统自适应实时探索与优化

2023 IEEE 21st International Conference on Industrial Informatics (INDIN) Pub Date : 2023-07-18 DOI: 10.1109/INDIN51400.2023.10218212

Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz

{"title":"Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning","authors":"Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz","doi":"10.1109/INDIN51400.2023.10218212","DOIUrl":"https://doi.org/10.1109/INDIN51400.2023.10218212","url":null,"abstract":"Real-time optimization plays a key role in improving energy efficiency and the operational effectiveness of industrial systems. To deal with unknown process characteristics and safety constraints, a novel safe adaptive real-time exploration and optimization (ARTEO) algorithm is proposed recently for safety-critical industrial systems. ARTEO utilizes the Gaussian process (GP) regression to model unknown plant characteristics and enforces safety constraints using confidence intervals provided by the GP models. Due to changing process characteristics, the GP models need to be updated online by incorporating new observations and the computational complexity of model adaptation increases with a growing dataset. This work proposes an alternative ARTEO implementation by using ensemble learning, namely Ensemble-ARTEO. The Ensemble-ARTEO learns unknown plant characteristics through an ensemble of parametric regression models and calculates uncertainty by the variance of ensemble predictions. The predictive uncertainty is integrated into the optimization objective to further drive exploration. The ensemble members are updated efficiently online to capture the changing process characteristics. We demonstrate the effectiveness of our proposed Ensemble-ARTEO approach in an industrial refrigeration process. Experimental results show that our method enables tracking the desired cooling demand while satisfying the safety constraints.","PeriodicalId":174443,"journal":{"name":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","volume":"9 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":"133726172","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