检索结果-内蒙古大学图书馆

Open-source solutions for real-time data retrieval in industrial automation and IoT environments

International Journal of Internet manufacturing and Services 2025年第1期11卷 73-92页

作者： Hegde, Seema B. Reddy, Tadigotla Narendra Prasannan, Prasad Manjunath, K.V. Herbert, Mervin A. Rao, Shrikantha S. Department of Computer Science and Engineering Global Academy of Technology Bengaluru560098 India Smart Manufacturing Precision Machine Tools Central Manufacturing Technology Institute Bengaluru22 India Department of Industrial Engineering and Management Siddaganga Institute of Technology Tumkur572103 India Department of Mechanical Engineering National Institute of Technology Karnataka Surathkal India

Digitalisation of the manufacturing industries due to the implementation of the ‘industrial internet of things (IIOT)’ is a key enabler for improved productivity and reliability at a reduced labour cost. The industrial IOT connects all the industrial machines such as PLCs, CNCs, and robots through a robust network. The generated data by these end devices plays a vital role in industrial automation, however acquiring the data from machines specifically legacy machines using various communication protocols is the biggest challenge and costly process, especially for MSMEs. Hence this paper discusses the usage of the open-source framework for real-time data acquisition from industrial machines and its implication in Industry 4.0. The paper implements and validates the possibility of the usage of an open-source framework for data acquisition instead of vendor-specific licensed software using several test cases. The paper also validates and proves ‘Wireshark’ can be a universal open-source solution for data acquisition using any standard communication protocols from various vendor-specific machines. Hence this work provides a novel solution for the digitalisation of the MSME manufacturing industries efficiently at the reduced maintenance cost and improve their productivity. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Cost reduction

来源：评论

学校读者我要写书评

暂无评论

A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots

引用

IEEE Transactions on Automation Science and engineering 2025年

作者： Dzubba, Marcel Neubauer, Michael Hinze, Christoph Lechler, Armin Verl, Alexander University of Stuttgart Institute for Control Engineering of Machine Tools and Manufacturing Units Stuttgart70174 Germany

Large industrial robots are inexpensive compared to their workspace. Due to flexibility, the positioning accuracy is compromised. This paper presents a simple yet effective static calibration method for robots using a laser tracker that can be applied to processes with no change in external load and without high processing forces. The calibration method is based on a novel elastokinematic model that captures the nonlinear gearbox and link compliance and also accounts for the effects of pose dependent joint friction and nonlinearities due to the gravity compensation mechanism. Furthermore, a feedforward concept is presented that separates kinematics from compliance to reduce computation time. The calibration method was implemented on industrial hardware and experimentally validated on a KUKA KR210–2. In comparison to state of the art compliance modeling, accuracy is improved by 23.1 %. Finally, the feedforward model reduces the mean positioning error in the entire workspace by 54.9% compared to the purely kinematically calibrated model, emphasizing the need for compliance compensation. © 2004-2012 IEEE.

关键词： Kinematics

来源：评论

学校读者我要写书评

暂无评论

Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series

Modeling Load-, Velocity-, and Temperature-Dependent Transmi...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： Christian J. E. Bauer Valentin Kamm Marcel Dzubba Lukas Steinle Armin Lechler Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

Industrial robots are rarely used for machining tasks due to their limited path accuracy. This accuracy is mainly limited by inaccuracies in the drive trains. Compliance and transmission errors occur in the joint gearboxes. While transmission errors have been extensively studied for strain wave gears, there is little research on these errors in cycloidal drives. This gearbox type is commonly used in industrial robots for medium to heavy payloads. It is proposed to model the mainly periodic transmission errors using a Fourier series where amplitude and phase are defined as a polynomial function of the main influence factors load-torque, velocity, and temperature. Measurements of the transmission errors were conducted using an experimental setup representing a single robot joint. In the evaluation of the measurement data, harmonic frequencies were related to mechanical properties of the cycloidal drive. These frequencies were used to identify the parameters of the polynomial Fourier series model. Compared to validation measurements, the derived model shows an average root mean square error of 0.026 mrad. It is proposed to use the output of the resulting model in a feedforward control approach to compensate the transmission errors and to increase the path accuracy of industrial robots.

关键词： Temperature measurement Accuracy Temperature Gears Measurement uncertainty Industrial robots Polynomials Frequency measurement Fourier series Load modeling

来源：评论

学校读者我要写书评

暂无评论

Offline and Online Energy Simulation using Virtual Commissioning Models with Extended Dynamical Behavior

Offline and Online Energy Simulation using Virtual Commissio...

引用

2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Deubert, Darius Pfeifer, Denis Scheifele, Christian Fehr, Jorg Verl, Alexander Bosch Rexroth AG Lohr am Main97816 Germany Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart70174 Germany ISG Industrielle Steuerungstechnik GmbH Stuttgart70563 Germany Institute of Engineering and Computational Mechanics University of Stuttgart Stuttgart70174 Germany

ISBN: (纸本)9798331531614

Considering energy consumption and dynamical behavior within the simulation of manufacturing systems emerges as an important objective for their development, commissioning, and operation. Currently, these aspects are often neglected in many fields including virtual commissioning. This work presents an approach to extend highly detailed virtual commissioning models of components from industrial automation by dynamics models for the calculation of energy consumption in an offline simulation and for reuse in an online simulation. To validate the presented approach, an exemplary offline virtual commissioning simulation of a pick-and-place robot application is implemented and subsequently transferred to an online simulation. The validation shows a good accuracy of the simulated energy consumption, enabling virtual commissioning engineers to analyze and optimize energy consumption already in the design phase of manufacturing systems. Additionally, the dynamical behavior was well reflected in the online simulation, contributing to the capability of simulation in the operation phase. © 2025 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards Real-Time Condition Monitoring of Electroplating Plants 19th

Towards Real-Time Condition Monitoring of Electroplating Pla...

引用

19th Global Conference on Sustainable manufacturing, GCSM 2023

作者： Lindner, M. Duckstein, R. Mennenga, M. Herrmann, C. Chair of Sustainable Manufacturing and Life Cycle Engineering Institute of Machine Tools and Production Technology Technische Universität Braunschweig Langer Kamp 19B Braunschweig38106 Germany Fraunhofer Institute for Surface Engineering and Thin Films IST Riedenkamp 2 Braunschweig38108 Germany

ISBN: (纸本)9783031774287

For securing a high-quality plating process, one of the main challenges in electroplating is the dosing of electrolytes. The optimal dosing and the related demand for resources do not only influence the coating quality but can also have a high environmental and economic relevance. Currently, the condition monitoring approaches related to dosing are mostly model-based and are seldom real-time capable. Therefore, a concept for real-time data-based condition monitoring of electrolytes is proposed. The paper discusses the challenges of pre-processing and modeling time series data with machine learning algorithms and quality requirements and availability of data within the electroplating process. Moreover, the usage of neural networks for condition monitoring of time series data is presented and discussed in a case study with a focus on anomaly detection. With this example, the applicability of a data-based approach for dynamic prediction of electrolyte chemicals is presented and evaluated. © The Author(s) 2025.

关键词： Electroplating shops

来源：评论

学校读者我要写书评

暂无评论

Inter-Stream Dependencies in Time-Sensitive Networking 28

Inter-Stream Dependencies in Time-Sensitive Networking

引用

28th Conference on Innovation in Clouds, Internet and Networks, ICIN 2025

作者： Chahed, Hamza Yarvis, Mark Frick, Florian Kassler, Andreas Intel Deutschland GmbH Germany Intel Corporation United States Department of Mathematics and Computer Science Karlstad University Karlstad Sweden Institute for Control Technology of Machine Tools and Manufacturing Equipment University of Stuttgart Germany Faculty of Applied Computer Science Deggendorf Institute of Technology Deggendorf Germany

ISBN: (纸本)9798331542399

Effective configuration of Time-Sensitive Networks is crucial for providing timeliness and reliability guarantees for real-time industrial applications, where many inter-dependent streams may co-exist. However, existing methods for specifying the characteristics of real-time streams to the Centralized Network Configuration element (CNC) do not allow the specification of stream dependencies. Consequently, the CNC may schedule the real-time streams in a sub-optimal way, leading to low number of real-time applications supported. To address this pressing issue, we present methods that allow to model and express such inter-stream dependencies and propose extensions to the user network interface (UNI) to convey these dependencies to the CNC, transforming it into an intent-based UNI. We define a novel metric to evaluate a specific network configuration regarding the latency budget available for scheduling the transmission of a stream. Using a set of numerical simulations, we show that when exploiting the knowledge of inter-stream dependencies, we can derive better network schedules, which results in significant increase in applications onboarding up to 2.2x and increased network utilization for real-time streams up to 3x. © 2025 IEEE.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Offline and Online Energy Simulation using Virtual Commissioning Models with Extended Dynamical Behavior

Offline and Online Energy Simulation using Virtual Commissio...

引用

IEEE/SICE International Symposium on System Integration

作者： Darius Deubert Denis Pfeifer Christian Scheifele Jörg Fehr Alexander Verl Bosch Rexroth AG 97816 Lohr am Main Germany and Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Denis Pfeifer is with ISG Industrielle Steuerungstechnik GmbH 70563 Stuttgart and Institute of Engineering and Computational Mechanics University of Stuttgart Stuttgart Germany ISG Industrielle Steuerungstechnik GmbH Stuttgart Institute of Engineering and Computational Mechanics University of Stuttgart Stuttgart Germany Alexander Verl is with Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

关键词： Energy consumption Automation Accuracy Service robots System integration manufacturing systems

来源：评论

学校读者我要写书评

暂无评论

Automatic preload adjustment for ball screw drives by means of a spring-loaded mechanism

引用

CIRP Annals 2025年

作者： A. Verl O. Jud Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

Preloaded ball screw drives are widely used in high-precision linear motion applications, particularly in machine tool feed drives. To compensate for the loss of preload due to wear over the service life and to maintain typical operational characteristics such as zero backlash and high rigidity, ball screws are usually preloaded to high values. However, this results in increased wear and friction, with a consequent increase in temperature. To address these issues, this paper introduces a novel double nut design for ball screws, featuring a passive preload adjustment mechanism, enabling reduced preload levels while enhancing operating characteristics and operational service life.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Inter-Stream Dependencies in Time-Sensitive Networking

Inter-Stream Dependencies in Time-Sensitive Networking

引用

International Conference on Intelligence in Next Generation Networks (ICIN)

作者： Hamza Chahed Mark Yarvis Florian Frick Andreas Kassler Intel Deutschland GmbH Germany Department of Mathematics and Computer Science Karlstad University Karlstad Sweden Intel Corporation USA Institute for Control Technology of Machine Tools and Manufacturing Equipment University of Stuttgart Germany Faculty of Applied Computer Science Deggendorf Institute of Technology Deggendorf Germany

ISBN: (数字)9798331542399

ISBN: (纸本)9798331542405

关键词： Schedules Technological innovation Sequential analysis Pressing Reliability engineering Real-time systems Network interfaces Synchronization Streams Optimization

来源：评论

学校读者我要写书评

暂无评论

Human-centric assembly in smart factories

引用

CIRP Annals 2025年

作者： Wang, Lihui Gao, Robert X. Krüger, Jörg Váncza, József Department of Production Engineering KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical and Aerospace Engineering Case Western Reserve University Cleveland United States Institute for Machine Tools and Factory Management Technical University Berlin Germany Laboratory of Engineering and Management Intelligence Institute for Computer Science and Control Hungary

Assembly in future smart factories needs to address three challenges, including human centricity, sustainability, and resilience. Conventional approaches for automation in assembly have reached a bottleneck in terms of operation automomy, leaving various tasks to continued manual labour by human operators. To ease the burden on humans both physically and intellectually, human-centric assembly enhanced by augmented robots, cognitive systems, mixed reality and collaborative intelligence, assisted by thought-driven brain robotic controls, provides a promising solution. Within the context, this keynote provides an in-depth analysis of the state of human-centric assembly and identifies potentially fruitful research directions in future smart factories. © 2025 The Author(s)

关键词： Factory automation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：