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检索条件"任意字段=International Conference on Process Automation, Control and Computing"

共 28217 条记录，以下是101-110 订阅

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Filling process Optimization Through Fully Flexible Automatic Yogurt Filling Machine Using Industry 4.0 Concepts 11

Filling Process Optimization Through Fully Flexible Automati...

引用

11th international conference on control, Mechatronics and automation (ICCMA)

作者： Salah, Bashir Khan, Razaullah Almuhaidib, Ibrahim A. King Saud Univ Ind Engn Dept Coll Engn POB 800 Riyadh Saudi Arabia Univ Engn & Appl Sci Mech Engn Dept Swat Pakistan

ISBN: (纸本)9798350315684

process optimization of an automatic yogurt filling machine involves identifying areas for improvement and implementing changes to enhance efficiency, productivity, and overall performance. Some steps that can be taken to optimize the process include analyzing the current process, setting performance goals, evaluate technology and equipment, automation and robotics, workflow optimization, sensor and control systems, data-driven decision-making, and continuous monitoring and maintenance. This article centers around the process optimization of a cutting-edge, fully automatic yogurt and flavors filling machine, built based on the principles of Industry 4.0. The machine's settings were transformed to achieve full flexibility, enabling each filling point to handle both yogurt and various flavors. To minimize the overall processing time for order execution, a mathematical model was meticulously devised. The performance of this proposed model was evaluated by comparing it with previously published models. The results indicate that the proposed model outperforms its predecessors, demonstrating superior efficiency and effectiveness.

关键词： Fully Flexible Machine Parallel Machine Scheduling Industry 4.0 Robotic Arm Yogurt Filling Machine

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Cloud Architectural Design for Image-based Vehicle Positioning in Traffic Management 28

Cloud Architectural Design for Image-based Vehicle Positioni...

引用

28th international conference on System Theory control and computing

作者： Beti, Iosif-Alin Herghelegiu, Paul-Corneliu Amarandei, Cristian-Mihai Caruntu, Constantin-Florin Gheorghe Asachi Tech Univ Iasi Dept Automat Control & Appl Informat Iasi Romania Gheorghe Asachi Tech Univ Iasi Dept Comp Sci & Engn Iasi Romania

ISBN: (纸本)9798350364309;9798350364293

Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.

关键词： computer vision traffic optimization vehicle platooning cloud computing 5G networks vehicle positioning V2V communication

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Online Self Optimizing Posicast controller Framework for Smart process control 11

Online Self Optimizing Posicast Controller Framework for Sma...

引用

11th international conference on control, Mechatronics and automation (ICCMA)

作者： Nwoke, Justus Viola, Jairo Chen, YangQuan Univ Calif Merced MESA Lab Merced CA 94343 USA

ISBN: (纸本)9798350315684

Posicast control is a strategy employed for overshoot compensation of lightly damped systems. Its classical approach is mainly used in a feedforward setup to compensate for the system's initial oscillation. However, if the system has a parametric uncertainty and high oscillation, the Posicast control effectiveness is reduced. This paper presents the design of a Self Optimizing Posicast controller with an online optimizing agent to effectively mitigate the oscillatory behaviour and overshoot on highly oscillatory systems. The controller comprises of a closed-loop setup regulator, a posicast filter, and an online optimizer based on the Globalized Constrained Nelder-Mead optimization algorithm to perform real-time estimation of the controller and posicast filter parameters. The proposed framework improves the system's robustness under parametric uncertainty and is validated for a flyback converter on voltage regulation tasks.

关键词： Posicast Self Optimizing control Globalized Constrained Nelder Mead Flyback Converter Smart process control Benchmark

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Real-Time Wireless Centralized control of the Level-Temperature process in a Multipurpose Tank 31

Real-Time Wireless Centralized Control of the Level-Temperat...

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31st IEEE international conference on Electronics, Electrical Engineering and computing, INTERCON 2024

作者： Ruben, Callata Rosadio Arturo, Rojas Moreno Dante, Inga Narvaez Universidad de Ingenieria y Tecnologia - UTEC Dept. of Electronics and Mechatronics Lima Peru CIA Industrial Nuevo Mundo Lima Peru Research Group Universidad de Ingenieria y Tecnologia - UTEC Lima Peru

ISBN: (纸本)9798350378344

In this work, a centralized MIMO (Multiple-Input Multiple-Output) integer-order control and a centralized MIMO fractional-order control, both wireless, are implemented in order to simultaneously control the water level and temperature of the upper tank in a multipurpose plant located in the automation Laboratory of the University of Engineering and Technology (UTEC), in Peru. For the implementation of the wireless control systems, Siemens SCALANCE W774 and W734 devices were used, which operated with the Profinet communication protocol. The results obtained in the experiments demonstrate that the fractional-order centralized control approach exhibits better performance in level control compared to the integer-order centralized control approach, especially in terms of overshoot percentage and settling time. Regarding temperature control, the fractional-order centralized control approach shows a lower overshoot percentage and a lower steady-state error. However, in terms of settling time, the integer-order centralized control was better compared to its fractional counterpart. © 2024 IEEE.

关键词： Tanks (containers)

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Energy-Intensive Industries Providing Ancillary Services: A Real Case of Zinc Galvanizing process

Energy-Intensive Industries Providing Ancillary Services: A ...

引用

2024 international conference on Communications control and computing Technologies for Smart Grids

作者： Gade, Peter A. V. Skjotskift, Trygve Bindner, Henrik W. Kazempour, Jalal Tech Univ Denmark Dept Wind & Energy Syst Lyngby Denmark IBM Client Innovat Ctr Copenhagen Denmark

ISBN: (纸本)9798350318562;9798350318555

Energy-intensive industries can adapt to help balance the power grid. By using a real-world case study of a zinc galvanizing process in Denmark, we show how a modest investment in power control of the furnace enables the provision of various ancillary services. We consider two types of services, namely frequency containment reserve (FCR) and manual frequency restoration reserve (mFRR), and numerically conclude that the monetary value of both services is significant, such that the pay-back time of investment is potentially within a year. The FCR service provision is more preferable as its impact on the temperature of the zinc is negligible.

关键词： Demand-side flexibility thermostatically controlled loads ancillary services

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Refining automation in Power Dispatching Systems: A Cloud Optimization Investigation 7

Refining Automation in Power Dispatching Systems: A Cloud Op...

引用

7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Zhang, Chi Zeng, Ciling Zeng, Weiwei Changsha University of Science And Technology International Institute of Technology Changsha410114 China State Grid Hunan Electric Power Company Changsha410004 China Beijing Kedong Electric Power Control System Co.Ltd. Beijing100192 China

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359299

Efficiency in power dispatch systems is critical to ensure as it depends on the optimal resource utilization and maintaining grid stability. As power systems evolve into data-intensive environments, traditional centralized computing platforms are challenged to efficiently process information. To address this, the use of distributed computing and storage technologies is developed. In addition, the integration of advanced technologies such as cloud computing, artificial intelligence, and big data analytics can further enhance the performance and scalability of power dispatching systems. This study investigates the application of cloud optimization techniques in refining automation within power dispatching systems. Specifically, it explores the integration of cloud computing technology to improve data processing algorithms and efficiency challenges in power grid systems. Through a proposed methodology that incorporates a distributed data service bus, massive data storage systems, and dynamic load balancing mechanisms, the study aims to improve system reliability, real-time responsiveness, and accuracy. In addition, the study discusses the optimization of real-time load forecasting and dispatching strategies using time series analysis, statistical methods, and emerging machine learning techniques. The effectiveness of the proposed approach is demonstrated through simulation and verification, highlighting the improved system efficiency and reliability achieved through cloud optimization in power dispatching systems. © 2024 IEEE.

关键词： Efficiency

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Design of a fully automatic etherification production process control system for hydroxypropyl methyl cellulose 4

Design of a fully automatic etherification production proces...

引用

4th international conference on Mechanical, Electronics, and Electrical and automation control, METMS 2024

作者： Hua, Yu Li, Sufen Zeng, Fanshu Chen, Zhixuan Liu, Yuxin School of Electrical and Electronic Engineering Wuhan Polytechnic University Wuhan430048 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

According to the control requirements of the hydroxypropyl methyl cellulose etherification reaction section, this article optimized the control design of the traditional hydroxypropyl methyl cellulose etherification reaction processing system. Based on the high efficiency and convenience of S7-1200 PLC, an automated production plan was designed. By selecting its hardware and optimizing its program design, the TIA Portal software development platform was applied to effectively control the etherification reaction section in cellulose processing. This system can effectively improve the automation level of the hydroxypropyl methyl cellulose etherification reaction section, achieve efficiency improvement in its production process, and thus improve production quality and increase production scale. © 2024 SPIE.

关键词： process control

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Towards Data-Driven Material Removal Rate Estimation in Bonnet Polishing 11

Towards Data-Driven Material Removal Rate Estimation in Bonn...

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11th international conference on control, Mechatronics and automation (ICCMA)

作者： Darowski, Michal Aftab, Muhammad Faisal Li, Hongyu Walker, David Yu, Guoyu An, Chenghui Omlin, Christian W. Univ Agder Ctr Artificial Intelligence Res Grimstad Norway Univ Agder Dept Engn Sci Grimstad Norway Univ Huddersfield Lab Ultra Precis Surfaces Daresbury England Harbin Inst Technol Res Ctr Space Opt Engn Harbin Peoples R China Hunan Univ Coll Mech & Vehicle Engn Changsha Peoples R China

ISBN: (纸本)9798350315684

Ultra-precision polishing is a complex process that involves polishing surfaces with nanometre-level accuracy. Even though much of the process is performed using computer numerically controlled (CNC) machines, fully autonomous manufacturing of such fine parts is currently not feasible. The complexity of the process, lack of perfect determinism, surface inaccessibility during the polishing process, and the need for extensive expert knowledge all present significant challenges in ultra-precision manufacturing. In this work, we present a system design for monitoring parameters in the ultra-precision bonnet polishing process, such as the chemical properties of the polishing slurry or tool forces during the process. We also share some initial findings and challenges encountered during the validation stage of the system, which require further consideration. Additionally, we outline our plan for implementing machine learning in material removal rate estimation for bonnet polishing.

关键词： process automation Bonnet Polishing Material Removal Machine Learning Cyber-Physical Systems

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Layer Height Estimation using Laser Line Scanners for Closed-Loop Directed Energy Deposition 11

Layer Height Estimation using Laser Line Scanners for Closed...

引用

11th international conference on control, Mechatronics and automation (ICCMA)

作者： Adel, Salar Njaastad, Eirik B. Arbo, Mathias Hauan Lindseth, Frank Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway SINTEF Mfg Prod Technol Dept Trondheim Norway Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway

ISBN: (纸本)9798350315684

Enhancing the geometric accuracy of additive manufacturing (AM) processes remains a vital challenge, particularly in the context of directed energy deposition (DED). This paper investigates the use of a laser line scanner for real-time layer height estimation during the DED process. The proposed system offers a method for 3D reconstruction and optimized layer height estimation for a multi-axis DED system using computer vision, enabling adaptive control and quality assurance in DED manufacturing. Experimental results demonstrate the effectiveness of the laser line scanner in achieving higher geometric accuracy in printed objects. The findings contribute to closed-loop control methodologies in AM, paving the way for a broader adoption of DED technology.

关键词： Computer vision process control closed loop systems

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Enhancement of Industrial automation using Internet of Things

Enhancement of Industrial Automation using Internet of Thing...

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2024 international conference on Advances in Data Engineering and Intelligent computing Systems, ADICS 2024

作者： Sheeba, Adlin Subasini, C.A. Kata Purna Avinash, S. Maheswaran Vijayendran, S. St. Joseph's Institute Of Technology Tamil Nadu Chennai600 119 India

ISBN: (纸本)9798350364828

The convergence of Industrial automation, Cloud computing, and the Industrial IoT Devices has sparked a transformative paradigm shift across diverse industries. This synergy harnesses the power of interconnected smart devices, cloud-based data processing, and automated systems to redefine operational landscapes. In this abstract, we explore the intricate integration of these technologies and their collective impact on industrial realms. IoT sensors embedded within machinery facilitate real-time data collection on performance metrics, environmental factors, and machine health. These data streams, propelled through cloud-based infrastructure, undergo robust processing and analysis, enabling predictive maintenance, process optimization, and informed decision-making. The marriage of cloud computing and IoT not only allows for remote monitoring and control but also facilitates agile responsiveness to dynamic operational needs. By leveraging machine learning algorithms, anomalies are identified, allowing preemptive actions to mitigate potential downtime and enhance productivity. Moreover, the scalability and accessibility of cloud systems offer unprecedented flexibility in adapting to evolving industry requirements. However, such integration necessitates robust security measures to safeguard sensitive industrial data transmitted and stored within cloud environments. Encryption protocols, stringent access controls, and resilient authentication mechanisms become paramount to ensure data integrity and confidentiality. This abstract encapsulates the potential of this amalgamation, illuminating its transformative capabilities in optimizing processes, reducing downtime, and fostering cost-efficient, data-driven decision-making across industrial sectors. © 2024 IEEE.

关键词： Cloud computing

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