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Journal articles on the topic 'Industrial Automation and Control systems'

Author: Grafiati

Published: 5 September 2021

Last updated: 29 July 2025

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1

Rahmani, Behrooz. "Internet-Based Control of Industrial Automation Systems." Journal of Intelligent & Robotic Systems 83, no. 1 (2016): 71–83. http://dx.doi.org/10.1007/s10846-016-0350-3.

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Haas, Christian, Georg Bretthauer, and Jürgen Beyerer. "Cybersecurity for industrial automation and control systems." at - Automatisierungstechnik 71, no. 9 (2023): 723–25. http://dx.doi.org/10.1515/auto-2023-0141.

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Mishchuk, Yevhen, and Dmytro Mishchuk. "IoT-based industrial automation systems." Gіrnichі, budіvelnі, dorozhnі ta melіorativnі mashini, no. 96 (December 31, 2020): 42–50. http://dx.doi.org/10.32347/gbdmm2020.96.0501.

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"Internet of Things" approaches in comparison with classical industrial automation allow to create system architectures which appear more economical, flexible, productive and effective that is reached at the expense of communication and interaction with industrial devices of automation (industrial controllers), sensors. , actuators, drives, machine vision systems, video, robotic systems. The basis of the "Internet of Things" (IoT) is the technology of interaction of machines (M2M), when machines use mobile networks to exchange information with each other or transmit it to data processing

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Janakiraman, Subramaniam. "CYBER SECURITY FOR INDUSTRIAL AUTOMATION & CONTROL SYSTEMS." Oil and Gas Business, no. 1 (March 6, 2024): 176–94. http://dx.doi.org/10.17122/ogbus-2024-1-176-194.

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Cyber Security is an increasingly important subject while designing an Industrial Automation and Control System (IACS). IACS carries lot of data regarding a facility – Offshore production platform, process platform, Onshore Refinery, Petrochemical, Chemical plant etc. These data are very important to the end-users and stake holders in terms of assessment of production rate, quality of the produce, pros and cons in maintaining the facility, sales, profits and losses, future plans etc. This write-up provides an insight into the following topics:• What is a Cyber Security?• Types of Cyber Securit

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Sattar, Abdul, Qadir Bakhsh, and Muhammad Sharif. "Industrial Automation and Manufacturing Systems: Concepts and Applications." Advanced Materials Research 903 (February 2014): 291–96. http://dx.doi.org/10.4028/www.scientific.net/amr.903.291.

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Manufacturing comprises an effective and efficient integration of automation tools and advanced technologies for the industrial production. Automation is an advanced technique used in the manufacturing industry for integrating the machine tools to automatically perform different tasks. This paper presents the study about industrial automation and manufacturing system. The research and development in the area of automation includes programmable logic control (PLC), robotics, distributed control system (DCS), computerized numerical control machine (CNC), radio frequency identification (RFID). Th

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Ahmad, Seraz. "Industrial Automation through PLC and SCADA." International Journal for Research in Applied Science and Engineering Technology 13, no. 7 (2025): 736–42. https://doi.org/10.22214/ijraset.2025.73072.

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Industrial automation is the backbone of modern manufacturing and production systems. Two fundamental technologies driving this transformation are Programmable Logic Controllers (PLCs) and Supervisory Control and Data Acquisition (SCADA) systems. PLCs are rugged digital computers used for automation of electromechanical processes, while SCADA systems provide high-level process supervisory management. This paper explores the roles, architectures, integration, benefits, challenges, and real-world applications of PLC and SCADA in industrial automation. Industrial automation has revolutionized man

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Cheng, Tao. "Application of Embedded Systems in Automation Control." Scientific and Social Research 6, no. 7 (2024): 95–101. http://dx.doi.org/10.26689/ssr.v6i7.7595.

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Embedded systems play a crucial role in modern automation control, with wide-ranging applications across industrial automation, smart homes, transportation, and more. This paper first analyzes the current state of embedded systems in automation control both domestically and internationally, exploring their specific applications in typical fields. The paper then highlights the advantages of embedded systems in automation control, including real-time performance, efficiency, integration, reliability, flexibility, and scalability. Finally, the design and implementation processes of embedded syste

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Gampel, Alexander, and Timothy Eveleigh. "Model-Based Systems Engineering Cybersecurity Risk Assessment for Industrial Control Systems Leveraging NIST Risk Management Framework Methodology." Journal of Cyber Security and Risk Auditing 2025, no. 4 (2025): 204–21. https://doi.org/10.63180/jcsra.thestap.2025.4.2.

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The realm of cybersecurity is perpetually evolving. Organizations must adapt to changing threat environments to protect their assets. Implementing the NIST Risk Management Framework (RMF) has become vital for the protection and security of industrial control and automation systems powered by SCADA technology. However, cybersecurity professionals face challenges in implementing the RMF, leading to systems operating without proper authorization resulting in non-compliance with standards and regulations. Current RMF-based business practices are inadequate, exposing organizations to cyber threats

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Strasser, Thomas, Martijn Rooker, Gerhard Ebenhofer, and Alois Zoitl. "Standardized Dynamic Reconfiguration of Control Applications in Industrial Systems." International Journal of Applied Industrial Engineering 2, no. 1 (2014): 57–73. http://dx.doi.org/10.4018/ijaie.2014010104.

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Industrial areas like manufacturing, logistics and power systems require highly flexible and adaptable control solutions in order to fulfill future requirements. An industrial automation system has to provide technologies, concepts and mechanisms allowing the adaption of control logic during operation. Proper engineering approaches as well as execution environments with dynamic reconfiguration capabilities are needed to turn this vision into reality. This article provides an overview of applying the IEC 61499 reference model for distributed automation as basis for a standard-compliant reconfig

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Wu, Q. H., D. P. Buse, J. Q. Feng, P. Sun, and J. Fitch. "e-Automation, an architecture for distributed industrial automation systems." International Journal of Automation and Computing 1, no. 1 (2004): 17–25. http://dx.doi.org/10.1007/s11633-004-0017-6.

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11

Lam, Duc Khai, Yasuhiro Shinozaki, Keishi Yamaguchi, et al. "A Fast and Safe Industrial WLAN Communication Protocol for Factory Automation Control Systems." Transactions of the Institute of Systems, Control and Information Engineers 29, no. 1 (2016): 29–39. http://dx.doi.org/10.5687/iscie.29.29.

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12

Enow, Ojong Felix, Andrew Tochukwu Ofoedu, Ebimor Yinka Gbabo, and Possible Emeka Chima. "The Role of Embedded Systems in Industrial Automation: A Review of Global Developments." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 2 (2023): 836–43. https://doi.org/10.54660/.ijmrge.2023.4.2.836-843.

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The integration of embedded systems in industrial automation has witnessed significant advancements globally, revolutionizing manufacturing processes and enhancing overall efficiency. This Review provides a comprehensive review of the role played by embedded systems in industrial automation, highlighting key developments on a global scale. Embedded systems, characterized by their dedicated functionality within larger systems, have become indispensable in the realm of industrial automation. This paper explores the evolution and impact of embedded systems in automating various aspects of industr

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Dahl, Martin, Endre Erős, Kristofer Bengtsson, Martin Fabian, and Petter Falkman. "Sequence Planner: A Framework for Control of Intelligent Automation Systems." Applied Sciences 12, no. 11 (2022): 5433. http://dx.doi.org/10.3390/app12115433.

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This paper presents a framework that tackles the challenges met in the development of automation systems featuring collaborative robotics and other machines that have some degree of autonomy. These machines rely on online algorithms for both sensing and acting in order to achieve a very high level of flexibility. To take advantage of these new machines and algorithms, control systems must also be increasingly flexible. In this paper, we present a framework for control of this new class of intelligent automation systems called Sequence Planner (SP), which helps with control of both traditional

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Alward, Yahya, Omveer Singh, and M. A. Ansari. "Industrial automation and control systems development future and challenges." Journal of Information and Optimization Sciences 43, no. 1 (2022): 71–83. http://dx.doi.org/10.1080/02522667.2022.2036354.

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15

Lu, Hong Mei, and Li Xin Zeng. "Predictive Method of Networked Control of Industrial Automation Systems." Advanced Materials Research 1022 (August 2014): 402–5. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.402.

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A New method for real-time prediction of uncertain network transmission time delay and the closed-loop control method through the network manufacturing and industrial plant are introduced. Put forward delay prediction method is based on the multilayer perceptron neural model. To reduce the amount of the first layer of neurons network, thus reducing the computational burden a real-time implementation, a method for the determination of Markov delay sequence order. Used to predict delay and a zero order equivalent discrete time model of the plant, a kind of time-varying state feedback control alg

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Lin, Iuon-Chang, Pai-Ching Tseng, Yu-Sung Chang, and Tzu-Ching Weng. "IOTA Data Preservation Implementation for Industrial Automation and Control Systems." Processes 11, no. 7 (2023): 2160. http://dx.doi.org/10.3390/pr11072160.

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Blockchain 3.0, an advanced iteration of blockchain technology, has emerged with diverse applications encompassing various sectors such as identity authentication, logistics, medical care, and Industry 4.0/5.0. Notably, the integration of blockchain with industrial automation and control systems (IACS) holds immense potential in this evolving landscape. As industrial automation and control systems gain popularity alongside the widespread adoption of 5G networks, Internet of Things (IoT) devices are transforming into integral nodes within the blockchain network. This facilitates decentralized c

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Ferrarini, Luca, JoseL Martinez Lastra, Allan Martel, Antonio Valentini, and Valeriy Vyatkin. "Embedded Systems Design in Intelligent Industrial Automation." EURASIP Journal on Embedded Systems 2008, no. 1 (2008): 194697. http://dx.doi.org/10.1155/2008/194697.

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Paunikar, Shil Sudhir, and Dr Anil Vanalkar. "Block Chain Scada Quality Control for in Industrial Automation." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 1171–74. http://dx.doi.org/10.22214/ijraset.2023.48705.

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Abstract: Scada systems are highly distributed systems used to control geographically dispersed assets, often scattered over thousands of square kilometers, where centralized data acquisition and control are critical to system operation. They are used in distribution systems such as water distribution and waste water collection systems, oil and gas pipelines, electrical power grids, and railway transportation systems. A scada control center performs centralized monitoring and control for field sites over longdistance communications networks, including monitoring alarms and processing status da

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Wozniak, Oleksandr, and Andrii Shtuts. "RESEARCH NATURAL GAS TEMPERATURE CONTROL SYSTEM." ENGINEERING, ENERGY, TRANSPORT AIC, no. 3(110) (October 30, 2020): 34–50. http://dx.doi.org/10.37128/2520-6168-2020-3-4.

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Technological progress is characterized by continuous expansion of automation of all sectors of human activity, the transition from partial automation to integrated, and then from integrated automation to complete, which provides the highest technical and economic efficiency. The 21st century is called the information age, because the main successes of technological progress are now observed precisely in the introduction of information technology to various means and systems of automation. Automation is not possible without measuring equipment. The development of control and measurement techno

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Li, Jing Min. "On Current Situation and Development of our Industrial Automation Control Technology." Advanced Materials Research 383-390 (November 2011): 5697–99. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.5697.

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The industrial automation control technology is comprehensive technology, mainly including industrial automation hardware, software and systems which reaches inspect, control and optimization, scheduling, management and decision-making, and increases yield and improve quality, reduce cost, to ensure safety. Industrial automation control technology as the most important technology in modern manufacturing in 20th century, which mainly solve the problem of production efficiency and consistency. Although automation system itself is not directly creating benefit of enterprise production, but it has

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21

Joby, P. P. "Wireless Control of Swarm Robotics for Industrial Automation." IRO Journal on Sustainable Wireless Systems 4, no. 3 (2022): 202–11. http://dx.doi.org/10.36548/jsws.2022.3.007.

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In the modern world, robots and robotic technologies are engaged extensively in industrial automation. The performance of the collaborative robots has resulted in utilizing them as primary forces in industries. In this paper, we propose the concept of swarm robotics to address the drawbacks of industrial automation. Wireless communication established in the robots and the control systems enabling automation. Swarm robotics is a technology where multiple robots together solve issues by developing advantageous structures and behaviors replicating nature like swarms of bees, fish or birds. Wirele

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22

Mitra, Manu. "Advancements in control systems." International Robotics & Automation Journal 4, no. 6 (2018): 390–91. https://doi.org/10.15406/iratj.2018.04.00154.

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Control systems are mechanical and/or electronic apparatus that controls other apparatus or systems by way of open or closed control loops. Usually, control systems are automatized. These control systems are one of the major parts in not only in the industry but also in automation. The types of control loops that control this process that include Industrial Control Systems (ICS) for instance as Supervisory Control and Data Acquisition (SCADA) and Distributed Control Systems (DCS). These control systems are used to enrich reproduction, efficiency, adaptability, performance, quality and safety i

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23

Nowakowski, Waldemar, Zbigniew Łukasik, and Wojciech Bukalski. "Methods for assessing the safety of industrial automation systems." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12 (2018): 158–62. http://dx.doi.org/10.24136/atest.2018.375.

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Industrial automation as the machine control section handling the automation of generating processes and technological processes, plays a significant role in economy. In the contemporary world it is difficult to imagine a modern plant without robotic assembly lines. This progress is connected to the need of ensuring safety. The significance of security in the industry is constantly raising and naturally concerns also the industrial automation. It is reflected in the regulations, including, among others, normative documents. This article presents methods of conducting verification of industrial

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24

Emmanuella Onyinye Nwulu, Tari Yvonne Elete, Adeoye Taofik Aderamo, Andrew Emuobosa Esiri, and Ovie Vincent Erhueh. "Promoting plant reliability and safety through effective process automation and control engineering practices." World Journal of Advanced Science and Technology 4, no. 1 (2023): 010–24. http://dx.doi.org/10.53346/wjast.2023.4.1.0062.

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In the realm of industrial operations, enhancing plant reliability and safety is paramount for achieving optimal performance and minimizing risks. Effective process automation and control engineering practices play a crucial role in this endeavor. By leveraging advanced technologies and methodologies, organizations can streamline operations, reduce human error, and ensure consistent output quality. Process automation involves the use of control systems, such as Programmable Logic Controllers (PLCs), Distributed Control Systems (DCS), and advanced sensors, to monitor and manage industrial proce

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25

Jolfaei, Alireza, Mian Ahmad Jan, Krishna Kant, and Muhammad Usman. "Guest Editorial: Configuration Security for Industrial Automation and Control Systems." IEEE Transactions on Industrial Informatics 17, no. 6 (2021): 4206–9. http://dx.doi.org/10.1109/tii.2020.3036114.

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Rahmani, Behrooz, and Amir Hossein Davaie Markazi. "Networked control of industrial automation systems—a new predictive method." International Journal of Advanced Manufacturing Technology 58, no. 5-8 (2011): 803–15. http://dx.doi.org/10.1007/s00170-011-3416-1.

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27

P, Loganathan. "Cloud based Monitoring and Control Automation of Industrial Demand Prediction System." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1808–16. http://dx.doi.org/10.5373/jardcs/v12sp7/20202293.

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28

Li, Jianwei. "Instrument Automation Control System Faults and Maintenance." Journal of Electronic Research and Application 8, no. 1 (2024): 16–21. http://dx.doi.org/10.26689/jera.v8i1.5859.

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This article explores the topic of fault diagnosis and maintenance strategies for instrument automation control systems, analyzing them through specific cases. The aim of this research is to improve the stability and reliability of the system by conducting a thorough investigation of faults and maintenance in instrument automation control systems. By doing so, this research hopes to provide a strong guarantee for the smooth progress of industrial production.

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Alimgozhaev, Azamat, Gulzhan Kashaganova, and Kulzhan Togzhanova. "THE STUDY OF INTELLIGENT SYSTEMS IN INDUSTRIAL FOOD AUTOMATION." International Journal of Advanced Logistics, Transport and Engineering 5, no. 1 (2023): 30–34. http://dx.doi.org/10.52167/2790-5829-2023-5-1-30-34.

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In the development of an intelligent control system for basic production in the food and chemical industry, it is necessary to build an integrated and robotic control system that allows you to effectively optimize, computerize the food industry and transform food products into a clean ecological product. The main task of managing such an intelligent system is artificial intelligence, which can significantly improve packaging, increase shelf life, combine the cycle using algorithms and improve food safety by making a more transparent management system. The novelty of the article lies in the dev

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Zhou, Yuxuan. "Balancing Autonomy and Human Oversight: A Review of Automation and Control Systems in Large-Scale Industrial Processes." Applied and Computational Engineering 135, no. 1 (2025): 154–59. https://doi.org/10.54254/2755-2721/2025.21266.

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Automation and control systems have become indispensable components of modern industrial processes, permeating sectors such as automotive manufacturing, oil and gas production, logistics and warehousing, and countless other domains. As technology advances, questions arise about the optimal degree of automation, the necessary balance between human oversight and autonomous operation, and the most effective approaches to software platforms (open-source versus proprietary). This literature review aims to provide an exploration of automation and control systems within large-scale industrial context

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Madala, Kranthi, and Dr K.V. Daya Sagar. "A review on industrial automation system." International Journal of Engineering & Technology 7, no. 2.7 (2018): 398. http://dx.doi.org/10.14419/ijet.v7i2.7.10751.

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The prospect to build robust industrial systems & applications in the field of RFID, mobile &sensor devices, wireless, Internet of Things (IOT) has been provided. In very modern years many IOT applications have been increasingly developed and deployed. In our day to day life controlling and monitoring plays a major role now a days. Using advanced technologies we can monitor and control everything. Be-cause of high speed internet a wonderful feature that came into picture is Remote access. The main objective of this proposed system is for those who are away from their industry and want

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Körner, Marc-Fabian, Dennis Bauer, Robert Keller, et al. "Extending the Automation Pyramid for Industrial Demand Response." Procedia CIRP 81 (June 24, 2019): 998–1003. https://doi.org/10.1016/j.procir.2019.03.241.

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Industrial demand response uses a multitude of energy flexibility measures. Their planning and control requires various production IT systems. A widely accepted approach to classify these inhouse IT systems are the levels of the automation pyramid in companies. This paper broadens the scope of this concept to overcome the limitation to companies’ (virtual) borders by including required IT systems that refine and monetarize a company’s energy flexibility, e.g. energy markets, aggregators, etc. Therefore, a holistic approach for the classification of functionalities for industrial de

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Ashish, Kumar Dass, Nayak Manjushree, Ranjan Pattanaik Sudhir, and Panigrahi Asish. "Cloud Computing in Industrial Automation Systems and its Future." Research and Applications: Embedded System 6, no. 3 (2023): 8–18. https://doi.org/10.5281/zenodo.10208415.

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<i>This research article explores the application of cloud computing in industrial automation systems and provides insights into its future prospects. Cloud computing has transformed various industries, including industrial automation, by offering enhanced efficiency, scalability, flexibility, and cost-effectiveness. By leveraging cloud infrastructure, industrial automation systems can store and process large volumes of data, enabling real-time monitoring and analysis of processes. The integration of disparate automation systems and devices is facilitated, fostering interoperability and data e

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Gao, Zhiwei. "Special Issue on “Modelling, Monitoring, Control and Optimization for Complex Industrial Processes”." Processes 11, no. 1 (2023): 207. http://dx.doi.org/10.3390/pr11010207.

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Industrial automation systems, such as chemical processes, manufacturing processes, power networks, transportation systems, sustainable energy systems, wireless sensor networks, robotic systems, and biomedical systems, are becoming more complex [...]

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Carpanzano, Emanuele, and Daniel Knüttel. "Advances in Artificial Intelligence Methods Applications in Industrial Control Systems: Towards Cognitive Self-Optimizing Manufacturing Systems." Applied Sciences 12, no. 21 (2022): 10962. http://dx.doi.org/10.3390/app122110962.

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Industrial control systems play a central role in today’s manufacturing systems. Ongoing trends towards more flexibility and sustainability, while maintaining and improving production capacities and productivity, increase the complexity of production systems drastically. To cope with these challenges, advanced control algorithms and further developments are required. In recent years, developments in Artificial Intelligence (AI)-based methods have gained significantly attention and relevance in research and the industry for future industrial control systems. AI-based approaches are increasingly

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Zheng, Zheng Xing, Guo Min Tang, and Li Min Liu. "A SoC for Intelligent Control Systems." Advanced Materials Research 571 (September 2012): 514–17. http://dx.doi.org/10.4028/www.scientific.net/amr.571.514.

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Intelligent control is a new direction of industrial automation. An intelligent control system is composed of algorithm, software and hardware. SoC is one of the best embedded system hardware. SoC may get some new progress for intelligent control. In this paper, intelligent control, SoC and some intelligent controller based on SoC are discussed. The new controller can be the smaller and more reliable.

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Hanane, Zermane, Mouss Hayet, and Benaicha Sonia. "Automation and Fuzzy Control of a Manufacturing System." International Journal of Fuzzy Systems and Advanced Applications 8 (November 14, 2021): 32–37. http://dx.doi.org/10.46300/91017.2021.8.4.

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The automation of manufacturing systems is a major obligation to the developments because of exponential industrial equipment, and programming tools, so that growth needs and customer requirements. This automation is achieved in our work through the application programming tools from Siemens, which are PCS 7 (Process Control System) for industrial process control and FuzzyControl++ for fuzzy control. An industrial application is designed, developed and implemented in the cement factory in Ain-Touta (S.CIM.AT) located in the province of Batna, East of Algeria. Especially in the cement mill whic

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Souza, Gabriel Alexandre De. "FUZZY CONTROL SYSTEMS APPLIED TO INDUSTRIAL AUTOMATION: A CASE STUDY IN PRODUCTION PROCESSES." Revista ft 29, no. 145 (2025): 14–15. https://doi.org/10.69849/revistaft/ch10202504040814.

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Fuzzy logic control has gained widespread attention in industrial automation due to its ability to handle nonlinearities and uncertainties in complex production environments. Traditional control methods, such as Proportional-Integral-Derivative (PID) controllers, often struggle with dynamic and highly variable processes. In contrast, fuzzy control systems leverage human-like reasoning and linguistic rules to optimize operational efficiency, adaptability, and robustness in manufacturing. This paper explores the implementation of fuzzy control systems in industrial automation, focusing on regula

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Azarmipour, Mahyar, Ramy Hana, and Tobias Kleinert. "An IT-OT integration concept for flexible process automation." at - Automatisierungstechnik 71, no. 5 (2023): 403–11. http://dx.doi.org/10.1515/auto-2022-0140.

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Abstract Industry 4.0 is a paradigm that plays a central role in the development of future automation systems. A new generation of industrial automation aims to increase the agility of automation systems. In this context, cooperation with the IT world is an important prerequisite to achieving the requested agility. Therefore, new architectures and solutions have to be developed to realize cooperation between automation and IT systems. The goal of this work is to present for the process industry an architectural design for industrial control systems in order to provide them with a higher level

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Ayadi, Rami, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Hanan Aljuaid, Nadir O. Hamed, and Moaiad A. Khder. "Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5450473.

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Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems r

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Heffernan, Donal, and Gabriel Leen. "A time‐triggered control network for industrial automation." Assembly Automation 22, no. 1 (2002): 60–68. http://dx.doi.org/10.1108/01445150210697113.

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Finster, Sören, Abdallah Dawoud, Florian Kohnhäuser, and Abdulkadir Karaagac. "Secure bootstrapping for next-gen industrial automation systems." at - Automatisierungstechnik 71, no. 9 (2023): 748–58. http://dx.doi.org/10.1515/auto-2023-0074.

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Abstract The digitalization of industry and the convergence of IT and OT bring about the next generation of industrial automation systems which are expected to work with an orchestration of physical and virtualized components using a single converged network. The increase of complexity in such systems must be managed by an increase in automation for orchestration and management. However, bootstrapping such a complex system from out-of-the-box components is still a manual and error-prone process. We present a bootstrapping concept that brings up a system from out-of-the-box components to an ope

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Noda, Akio, Yukiyasu Domae, and Akio Namiki. "Special Issue on Industrial Robotics and Systems." Journal of Robotics and Mechatronics 37, no. 2 (2025): 269. https://doi.org/10.20965/jrm.2025.p0269.

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Recent technological advancements have expanded the range of applications and possibilities for industrial robots. Therefore, this special issue focuses on a wide range of topics, from reports of successful practical applications to ambitious proposals that could have a significant impact on the field in the future. These topics concern the automation of manual work, such as material handling in factories, logistics, commercial facilities, and public facilities, as well as elemental technologies and system integration for new work methods, such as collaboration and remote operation. Specifical

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Marcin, Bajer. "Dataflow in Modern Industrial Automation Systems. Theory and Practice." International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) 2, no. 4 (2020): 1–11. https://doi.org/10.5281/zenodo.4005618.

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The goal of this publication is to provide brief description of industrial communication protocols. This paper shows how data flow can be realized in modern manufacturing facilities and how to integrate multiple data sources (sensors, actuators and controllers) into one heterogonous system. In order to illustrate the problem a model of multi tank water control system has been developed. In addition the paper presents approach to access production data by Android based devices.

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Domrachev, V. G., and A. A. Skripnik. "Automation of calibration of tanks in industrial production process control systems." Measurement Techniques 55, no. 8 (2012): 876–82. http://dx.doi.org/10.1007/s11018-012-0053-5.

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T. C., Pramod, Thejas G. S., S. S. Iyengar, and N. R. Sunitha. "CKMI: Comprehensive Key Management Infrastructure Design for Industrial Automation and Control Systems." Future Internet 11, no. 6 (2019): 126. http://dx.doi.org/10.3390/fi11060126.

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Industrial Automation and Control Systems (IACS) are broadly utilized in critical infrastructures for monitoring and controlling the industrial processes remotely. The real-time transmissions in such systems provoke security breaches. Many security breaches have been reported impacting society severely. Hence, it is essential to achieve secure communication between the devices for creating a secure environment. For this to be effective, the keys used for secure communication must be protected against unauthorized disclosure, misuse, alteration or loss, which can be taken care of by a Key Manag

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Chukwunweike, Joseph, and Ibrahim Abubakarand Andrew Nii Anang. "Enhancing Industrial Efficiency through Automation: Leveraging PLC, Scada, HMI, Batch, and DCS Systems for Downtime Mitigation in Industrial Control Projects." International Journal of Research Publication and Reviews 5, no. 9 (2024): 1466–78. http://dx.doi.org/10.55248/gengpi.5.0924.2530.

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Hrbček, Jozef, and Emília Bubeníková. "Embedded image processing on Raspberry Pi connected to the industrial control system." Multidisciplinary Aspects of Production Engineering 2, no. 1 (2019): 62–71. http://dx.doi.org/10.2478/mape-2019-0006.

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Abstract This paper deals with the image processing from the camera for Raspberry Pi connected with real-time communication network to the control system (PLC). The low time delay for receiving and sending commands, data, etc. is very important in the automating production processes. This can be provided by industrial real-time network based on Ethernet. The Ethernet POWERLINK, which is supported on B&R PLCs, is one of them. It is a simple solution for a variety of applications because the POWERLINK is publicly available as the open source. Connecting the PLC and Raspberry Pi with Ethernet

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Ionel, Danut Sorin, and Constantin Gheorghe Opran. "TRANSFORMING STRATEGY FROM INDUSTRIAL AUTOMATION TO ADVANCED LEAN AUTOMATION." International Journal of Modern Manufacturing Technologies 14, no. 2 (2022): 83–89. http://dx.doi.org/10.54684/ijmmt.2022.14.2.83.

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Industrial automation refers to the control of machines and processes in order to manage variables. Automated manufacturing systems have evolved as advanced technologies have been incorporated, and theoretical approaches have evolved from mass production to intelligent manufacturing, each step introducing superior manufacturing concepts and models, which allowed increasing processes, organization and work. One of the newest approaches refers to distributive automation, in which the system allows reconfiguration and self-organization of autonomous subsystems in a distribute environment. By inco

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Popescu, Vasile Florin, and Cezar Scarlat. "Supervisory Control and Data Acquisition (SCADA) Systems for Industrial Automation and Control Systems in Industry 4.0." Land Forces Academy Review 27, no. 4 (2022): 309–15. http://dx.doi.org/10.2478/raft-2022-0039.

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Abstract In order to respond to the new production models specific to the fourth industrial revolution, a new paradigm of integrated industrial automation and control systems in industry 4.0 management is needed with new web, collaborative and intelligent applications to supervise production processes. The present work represents an analysis of the solutions for the management of production processes resulting from the combination of new technologies and applications conforming to the Industry 4.0 paradigms, in conjunction with SCADA technical solutions for the world of production. The solutio

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