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A Modular Soft Sensor for Centrifugal Pumps

IFAC-PapersOnLine 2024年第14期58卷 91-96页

作者： Sebastian Leonow Qi Zhang Martin Mönnigmann Automatic Control and Systems Theory Department of Mechanical Engineering Ruhr University Bochum Universitaetsstrasse 150 44801 Bochum Germany

Soft sensors experience an increasing interest in recent years, as they can replace expensive hardware meters and the required embedded computing hardware has become cheap and powerful. We report results for the implementation of a soft sensor for the flow rate estimation in centrifugal pumps that achieves root mean square errors of about 5%. The proposed soft sensor is based on generic models for the drive and hydraulic part of the pump to ensure widespread applicability. We show the soft sensor and the models it is based on can be parametrized with simple measurements. All theoretical considerations are corroborated with measurements on a real industrial pump in a laboratory setup. The results show that the proposed soft sensor is capable of providing reliable flow rate estimates in spite of plant model mismatch and uncertain hardware components.

关键词： Soft Sensor Flow Rate Estimation Centrifugal Pump Variable-Speed Drive

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Photoacoustic Sensing for Differentiating Breast Cancer Sizes - A Numerical Simulation Study 3

Photoacoustic Sensing for Differentiating Breast Cancer Size...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： GadAllah, Mohammed Tarek Mohamed, Abd El-Naser A. Hefnawy, Alaa A. Zidan, Hassan E. El-Banby, Ghada M. Mohamed Badawy, Samir Computers and Systems Department El Nozha Cairo Egypt Menoufia University Faculty of Electronic Engineering Electronics and Electrical Communications Engineering Department Menoufia Egypt Menoufia University Faculty of Electronic Engineering Industrial Electronics and Control Engineering Department Menoufia Egypt

ISBN: (纸本)9798350323511

Photoacoustic (PA) sensing is a crossbred technique relied on light-produced ultrasonic signals due to a phenomenon called the PA effect. PA imaging (PAI), which is based originally on PA sensing, has been utilized efficiently in breast cancer identification and characterization over the last few years. In this paper, a numerical simulation study in silico has been applied, utilizing COMSOL Multiphysics platform basing on the Finite Element Method (FEM), for breast cancer sizes' differentiating by PA sensing. A time-dependent study has been applied on COMSOL resulting in different measured PA signals from different tumor sizes measured at a constant measuring point on the surface of the simulated breast, showing the different shape for each PA signal and its frequency spectrum for the different tumor sizes. Statistical analysis for some resulting simulated PA signals has been performed by MATLAB software, deducing that the produced standard deviation values may be considered as a quantitative indication mark of the breast cancer's size and hence its dangerous degree. The study's results help in numerical modeling for more PA sensing and imaging applications. © 2023 IEEE.

关键词： Multiphysics

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Versatile control of an Automotive Assembly Line by using Programmable Logic controllers 17

Versatile Control of an Automotive Assembly Line by using Pr...

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Vasile-Alexandru, Dulgheriu Eugen, Gergely Laura, Coroiu Linawati, Linawati Sogefi Suspensions Eastern Europe Srl Oradea Romania University of Oradea Department of Control Systems Engineering and Management Oradea Romania Udayana University Department of Electrical Engineering Jimbaran Indonesia

ISBN: (纸本)9798350310634

This paper presents the design process of a control system for an automotive assembly line. An assembly line is composed of several zones, which in turn contain several stations. All the control functions are assured by a programmable logic controller. The versatile feature is given by the fact that the assembly line can build two types of vehicles without downtime. The PLC program can switch on the fly to the logic corresponding to the type of vehicle detected. Great importance was given to safety. Additional hardware and software redundancies were used. The human-machine interface has been designed to provide operators with quick accommodation, efficient use and quick and easy navigation through the multiple levels of screens to the desired level of detail. The techniques used in this work increase the productivity and flexibility of the assembly line. Also, measures taken regarding the safety increase confidence in the system and reduce personnel injury or financial loss due to malfunctions or mishandling. © 2023 IEEE.

关键词： Programmable logic controllers

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Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

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IEEE/CAA Journal of automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

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controller-Aware Dynamic Network Management for Industry 4.0 48

Controller-Aware Dynamic Network Management for Industry 4.0

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Balta, Efe C. Mamduhi, Mohammad H. Lygeros, John Rupenyan, Alisa Eth Zürich Automatic Control Laboratory Department of Information Technology and Electrical Engineering Zürich Switzerland

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

In this paper, we consider a cyber-physical manufacturing system (CPMS) scenario containing physical components (robots, sensors, and actuators), operating in a digitally connected, constrained environment to perform industrial tasks. The CPMS has a centralized control plane with digital twins (DTs) of the physical resources, computational resources, and a network manager that allocates network resources. Existing approaches for the allocation of network resources are typically fixed with respect to controller-dependent run-time specifications, which may impact the performance of physical processes. We propose a dynamic network management framework, where the network resource allocation schemes are controller-aware. The information about the controllers of the physical resources is implemented at the DT level, and metrics, such as regret bounds, take the process performance measures into account. The proposed network management schemes optimize physical system performance by balancing the shared resources between the physical assets on the plant floor, and by considering their control requirements, providing a new perspective for dynamic resource allocation. A simulation study is provided to illustrate the performance of the proposed network management approaches and compare their resource allocation performance efficiencies. © 2022 IEEE.

关键词： controllers

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Prediction of Workpiece Film Thickness via Multi-Region Segmented Model of Painting Process Parameters

Prediction of Workpiece Film Thickness via Multi-Region Segm...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Liao, Jhan-Yu Lin, Shang-Chih Su, Shun-Feng Huang, Yennun Feng Chia University Department of Automatic Control Engineering Taichung Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan

ISBN: (纸本)9798350323153

This study proposes a method to solve the problem of predicting the coating film thickness of the workpiece, which is called the multi-region segmentation model. First, four types of sensing data contribute 125 features, including Clean, Oven, Painting, and Environment. Data preprocessing covers several aspects, such as missing values, outliers, and scales. Then, the key features are extracted and given to the machine learning algorithm to build a model, verify, and test. In addition, the multi-region segmentation model is the main idea and aims to reduce the model from falling into the trap of overfitting when modeling. At the same time, the classifier guides the test data to a more suitable regressor. The experimental results show that the multi-region segmentation model based on the Pearson correlation coefficient has obtained a relatively ideal performance. The RMSE is 15.3724. This is superior to the results submitted for IMBD Competition 2022 and the official standards. In future research work, we will devote ourselves to strengthening the strategy of data pre-processing, and it is expected to improve the model's error. © 2023 IEEE.

关键词： Big data analysis Film thickness Machine learning Painting Smart manufacturing

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A Monitoring and control System Based on Image Recognition for Iron Filings Cleaning of CNC Machine Tools

A Monitoring and Control System Based on Image Recognition f...

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2024 International automatic control Conference, CACS 2024

作者： Yang, Tsung-Yen Chiang, Fu-Yu Chen, Yan-Hong Lee, Guan-Jie Lin, Yu-Sheng Lin, Shang-Chih Su, Shun-Feng Huang, Yennun Institute of Automatic Control Engineering Feng Chia University Taichung407 Taiwan Feng Chia University Department Engineering Taichung407 Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan The Research Center for Information Technology Innovation Academia Sinica Taipei115 Taiwan

ISBN: (纸本)9798350354904

This study addresses a key challenge in the CNC tool machining industry: automated in-machine chip removal. Initially, we designed and manufactured an innovative nozzle, incorporating elastic plastic hoses to replace sections of traditional hard coil pipes. A 3D-printed auxiliary mechanism was developed to enable the servo motor to direct the nozzle to any specified coordinates on a two-dimensional plane. Simultaneously, captured images are divided into multiple subblocks for detailed analysis. Image recognition algorithms process each block to determine the location of iron filings. The ratio of detected iron filings is then computed to establish cleaning priorities, which the embedded system uses to direct the servo motor for effective cleaning. Additionally, the system features a human-machine interface that monitors the cleaning process, providing on-site personnel with real-time insights into the machine's internal conditions. Experimental results from a custom simulation environment demonstrate that the system efficiently reduces the accumulation of iron filings on the platform to levels below the set threshold within a short time frame. This research aims to minimize machine tool idle time, lower personnel costs, and enhance overall production capacity. © 2024 IEEE.

关键词： Nozzles

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Reconfigurable antenna beam using U-Shaped slot patch for wireless networks

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Materials Today: Proceedings 2022年 58卷 547-551页

作者： Suriyan, Kannadhasan Ramalingam, Nagarajan Venusamy, Kanagaraj Department of Electronics and Communication Engineering Cheran College of Engineering Tamilnadu India Department of Electrical and Electronics Engineering Gnanamani College of Technology Tamilnadu India Control Systems Instructor Department of Engineering University of Technology and Applied Sciences-AI Mussanah AI Muladdha Oman

A compact U-Shaped antenna was proposed in this paper. The antenna is designed with dimension of 30*44*1.8 mm. The proposed antenna is used to improvement the ground stub. The antenna works in the various band of Wi-Fi, Wi-Max, WLAN, Wireless Communication and Satellite communication applications. The proposed structure having FR4 dielectric substrate with 4.2 relative permittivity and the loss tangent of 0.0025. The gain of the proposed antenna is 5.82 dB and 6.82 dB in the lower band and upper band of frequencies. The U-Shaped structure antenna operating at various bands 1.8 GHz to 2.5 GHz and 3.5 GHz to 4.5 GHz for wireless applications. The VSWR of the proposed structure is 1.4 and 1.8 respectively. The bandwidth is used to operate the U-Shaped structure is 900/1800 MHz. The reflection coefficient of the proposed structure is observed for the range of −7.08 dB and −14.00 dB. The performance parameters of the proposed structure such as good return loss, high gain, high bandwidth and good radiation pattern in nature. © 2022

关键词： Reflection

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Automation 5.0: The Key to systems Intelligence and Industry 5.0

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IEEE/CAA Journal of automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

AUTOMATION has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“Automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： Automation machinery intelligence

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Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses

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IEEE/CAA Journal of automatica Sinica 2022年第12期9卷 2071-2078页

作者： Yutong Wang Yonglin Tian Jiangong Wang Yansong Cao Shixing Li Bin Tian IEEE The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China North Automatic Control Technology Institute in Taiyuan ShanxiChina Qingdao Academy of Intelligent Industries Shandong 266109China

With the rapid development of information technologies such as digital twin, extended reality, and blockchain,the hype around "metaverse" is increasing at astronomical speed. However, much attention has been paid to its entertainment and social functions. Considering the openness and interoperability of metaverses, the market of quality inspection promises explosive growth. In this paper, taking advantage of metaverses, we first propose the concept of Automated Quality Inspection(Auto QI), which performs integrated inspection covering the entire manufacturing process, including Quality of Materials, Quality of Manufacturing(Qo M), Quality of Products, Quality of Processes(Qo P), Quality of systems, and Quality of Services(Qo S). Based on the scenarios engineering theory, we discuss how to perform interactions between metaverses and the physical world for virtual design instruction and physical validation feedback. Then we introduce a bottomup inspection device development workflow with productivity tools offered by metaverses, making development more effective and efficient than ever. As the core of quality inspection,we propose Quality Transformers to complete detection task,while federated learning is integrated to regulate data *** summary, we point out the development directions of quality inspection under metaverse tide.

关键词： Automated Optical Inspection Metaverses Quality Inspection Transformers

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