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Journal articles on the topic 'Safety Automation'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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1

Heintzel, Alexander. "Automation Improves Safety." ATZ worldwide 119, no. 7-8 (2017): 3. http://dx.doi.org/10.1007/s38311-017-0077-1.

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Ciucias, Michał, Waldemar Nowakowski, and Daniel Pietruszczak. "Safety of industrial automation systems." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 24, no. 6 (2019): 50–55. http://dx.doi.org/10.24136/atest.2019.124.

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In order to minimize the risks associated with the automation of industrial processes, it is necessary to unify standards of safety assessment. The aim of this article is the comparative analysis of safe-ty assessment methods of industrial automation systems. Authors presented two techniques of ensuring safety based on risk analysis, i.e. Performance Level (PL) and Safety Integrity Level (SIL) in relation to the applicable standards and regulations.

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Toola, A. "The safety of process automation." Automatica 29, no. 2 (1993): 541–48. http://dx.doi.org/10.1016/0005-1098(93)90154-l.

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4

Piggin, Richard. "Shifting expectations: automation and safety networking." Assembly Automation 24, no. 4 (2004): 344–51. http://dx.doi.org/10.1108/01445150410562525.

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Mineo, Yoshiyuki, Yoshihisa Suzuki, Tatsuya Niinomi, Katsumi Iwatani, and Hisao Sekiguchi. "Safety assessment of factory automation systems." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 83, no. 2 (2000): 96–109. http://dx.doi.org/10.1002/(sici)1520-6440(200002)83:2<96::aid-ecjc9>3.0.co;2-m.

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Barbareschi, Mattia, and Claudio Doglioni. "Automation in Pathology for patient safety." Pathologica 117, no. 1 (2025): 1–2. https://doi.org/10.32074/1591-951x-n1198.

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Erisa, Kungu. "Automation in Drug Manufacturing: Ensuring Quality and Safety." RESEARCH INVENTION JOURNAL OF SCIENTIFIC AND EXPERIMENTAL SCIENCES 5, no. 1 (2025): 57–61. https://doi.org/10.59298/rijses/2025/515761.

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The pharmaceutical industry is increasingly adopting automation to enhance the quality, safety, and efficiency of drug manufacturing. Automation addresses challenges such as human error, variability in production, and regulatory compliance while improving drug availability and cost-effectiveness. This paper examines the role of automation in drug manufacturing, the regulatory frameworks governing automated processes, key technological advancements, benefits, and challenges. It also presents case studies of successful implementation, demonstrating automation’s potential in improving drug production. Despite challenges such as high initial costs and integration complexities, automation remains a crucial advancement in ensuring consistent, high-quality pharmaceutical products. Keywords: Automation, drug manufacturing, pharmaceutical industry, quality control, regulatory compliance, robotics, artificial intelligence.

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Silva de Moraes, Hemerson Allan, Bruno Pereira Gonçalves, Aline Mary Moreira de Melo, Jean Mark Lobo de Oliveira, and David Barbosa de Alencar. "Intelligent Automation System in Asset Safety Using Household." International Journal for Innovation Education and Research 8, no. 4 (2020): 171–79. http://dx.doi.org/10.31686/ijier.vol8.iss4.2278.

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This article describes the main stages of a project used in Home Automation (Home Automation), highlighting many general aspects about advantages and disadvantages of investing in this automation, costs and availability. The forms, propositions and compositions are also exposed for a Home Automation System to work in a pleasant way that can meet the needs and demand of a demanding emerging market. The illustrations in the course of the article proved to be not so simple to program. There is a need to find qualified professionals in the area of home automation for the complete fluidity of the project. A complete model is proposed where the main difficulties are highlighted and resolved.

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Srinivas Acharyulu, P. V., and P. Seetharamaiah. "A framework for safety automation of safety-critical systems operations." Safety Science 77 (August 2015): 133–42. http://dx.doi.org/10.1016/j.ssci.2015.03.017.

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Jain, Ashish, Davinder Kumar, Abhimit Kumar, and Dolly Chauhan. "Automation in Pharmacovigilance." International Journal of Pharma Professional’s Research (IJPPR) 15, no. 1 (2024): 10–26. http://dx.doi.org/10.48165/ijppronline.2024.15102.

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 The term “pharmacovigilance,” first proposed in the1970s, has gradually gained traction to become one of the two common terms of art for the overall discipline, the other, older term being “drug safety.” “World Health Organization (WHO)” as “the science and activities relating to the detection, assessment, understanding and prevention of drug-related problems”. The information about suspect product is collected from healthcare providers and patients to detect and prevent abnormalities associated with it. Therefore, PV deals with adverse effects of drug, poly-pharmacy, paradoxical reactions, and severe adverse events. Automation in pharmacovigilance entails using cognitive technologies such as machine learning (ML) and advanced analytics to transform legacy data compilation processes and information gathering for regulatory approval. Automation technologies have strong potential to automate routine work and balance resource use across safety risk management and other pharmacovigilance activities. This article provides an overview of automation in pharmacovigilance.

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CÎRCIU, Ionică, and Vasile PRISACARIU. "INFLUENCE OF AUTOMATION OF AIRSPACE ACTIVITIES ON AIR TRAFFIC SAFETY." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (2019): 107–12. http://dx.doi.org/10.19062/2247-3173.2019.21.15.

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Kumar, Saurav. "Advancements in Gesture - Controlled Home Automation: Enhancing Safety and Convenience." International Journal of Science and Research (IJSR) 12, no. 7 (2023): 1599–602. http://dx.doi.org/10.21275/sr23720200211.

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Egbumokei, Peter Ifechukwude, Ikiomoworio Nicholas Dienagha, Wags Numoipiri Digitemie, Ekene Cynthia Onukwulu, and Olusola Temidayo Oladipo. "Automation and worker safety: Balancing risks and benefits in oil, gas, and renewable energy industries." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 4 (2024): 1273–83. https://doi.org/10.54660/.ijmrge.2024.5.4.1273-1283.

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The integration of automation in the oil, gas, and renewable energy industries has revolutionized operational efficiency and worker safety. This paper examines the dual role of automation in mitigating workplace hazards while addressing the associated risks and challenges. The objectives include evaluating how automated systems reduce human exposure to high-risk tasks, identifying potential risks introduced by automation, and proposing strategies to balance safety with technological advancement. Key findings highlight that automation significantly reduces accidents in high-hazard environments, such as offshore rigs and wind turbine maintenance, by replacing manual tasks with remote-controlled or autonomous systems. However, the increased reliance on automated technologies presents new challenges, including cybersecurity vulnerabilities, system failures, and the need for specialized training. Furthermore, the shift toward renewable energy introduces unique safety considerations, such as managing risks in battery storage and photovoltaic system maintenance. The paper concludes that while automation offers substantial benefits in enhancing worker safety, a holistic approach is essential to address its challenges. Strategies such as robust risk assessments, adaptive safety protocols, and comprehensive worker training programs are crucial to mitigate the unintended consequences of automation. By fostering collaboration between industry stakeholders and regulatory bodies, the oil, gas, and renewable energy sectors can achieve a sustainable balance between leveraging automation and safeguarding worker well-being. This research underscores the need for ongoing innovation and vigilance to ensure that automation remains a tool for enhancing, rather than compromising, workplace safety.

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Debouk, Rami. "Review of the Latest Developments in Automotive Safety Standardization for Driving Automation Systems." Journal of System Safety 58, no. 2 (2023): 40–45. http://dx.doi.org/10.56094/jss.v58i2.252.

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The ISO 26262: Functional Safety – Road Vehicles Standard has been the de-facto automotive functional safety standard since it was first released in 2011. With the introduction of complex driving automation systems, new standardization efforts to deal with safety of these systems have been initiated to address emerging gaps such as the human/automation roles and responsibilities in the presence/absence of the driver/user, the impact of the technological limitations and the verification and validation needs of automation systems to name a few. This paper highlights some of these gaps and introduces some of the latest developments in automotive safety standardization for driving automation systems.

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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 automation systems basing on two basic parameters, which are: the level of ensuring Performance Level and the level of Safety Integrity Level.

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Shang, Chun Min, Dong Mei Zhang, and Xin Ming Zhang. "Subsurface Safety Valve Automation Test Systems Design." Applied Mechanics and Materials 543-547 (March 2014): 1188–91. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1188.

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To the subsurface safety valve testing, an intelligent automatic test system is designed based on the control computer and programmable logic controller. Based on modular concept, the entire system is mainly composed of mechanical components and computer control system. The working principle is analyzed for the subsurface safety valve test. The control system based on the Labview and PLC can accomplish hydraulic and gas testing with functions of the testing process control, data collection and analysis, automatic generating test report, friendly interface and high degree automation. Experiments prove that the test system can achieve expected effect and satisfy the test requirement, and the procedure is simple and convenient. The system has great significance to improve the subsurface safety valve test accuracy, efficiency and automation level.

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Tsai, Rong-Guei, Yi-Yun Tsai, and Pei-Hsuan Tsai. "Automation Tool for Home Fire Safety Check." IEEE Sensors Letters 5, no. 12 (2021): 1–4. http://dx.doi.org/10.1109/lsens.2021.3124800.

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18

Luo, Hongqi, Xia Liu, and Po Wang. "Safety risk analysis of Home Automation products." Journal of Physics: Conference Series 1986, no. 1 (2021): 012103. http://dx.doi.org/10.1088/1742-6596/1986/1/012103.

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Ansari, Vasim. "Home Safety, Security and Automation using IOT." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (2019): 2168–74. http://dx.doi.org/10.22214/ijraset.2019.5364.

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Toola, Arja. "Elicitation of safety requirements for process automation." Reliability Engineering & System Safety 35, no. 3 (1992): 209–15. http://dx.doi.org/10.1016/0951-8320(92)90079-z.

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Mineo, Yoshiyuki, Yoshihisa Suzuki, Tatsuya Niinomi, Katsumi Iwatani, and Hisao Sekiguchi. "Safety assessment methods of factory automation systems." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 80, no. 3 (1997): 21–36. http://dx.doi.org/10.1002/(sici)1520-6440(199703)80:3<21::aid-ecjc3>3.0.co;2-8.

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22

Prashant.P., Bhise, Hemant.K.Shete, Vasim Shaikh, et al. "Vehicle Safety Automation Using Hands off Detection." Recent Trends in Automation and Automobile Engineering 8, no. 2 (2025): 1–4. https://doi.org/10.5281/zenodo.15295772.

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<em>In the age of intelligent transportation systems, ensuring driver engagement during semi-autonomous driving is critical for road safety. This project presents a vehicle safety automation system based on hands-off detection (HoD) technology, designed to monitor driver interaction with the steering wheel and initiate safety protocols in case of disengagement. The proposed system integrates capacitive touch sensors and microcontroller-based logic to detect the presence or absence of the driver’s hands in real time. Upon detecting prolonged hands-off conditions, the system generates visual and audio alerts and can trigger vehicle deceleration or stop mechanisms to prevent accidents. The implementation emphasizes reliability, low cost, and ease of integration with existing automotive systems. The study demonstrates that hands-off detection can significantly reduce the risk of driver inattention and improve overall vehicle safety, especially in Level 2 and Level 3 autonomous systems.</em>

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23

Madireddy, Ravindra Reddy. "Evolutionary Trends in Agentic Automation: From Simple Bots to Intelligent Agents." European Journal of Computer Science and Information Technology 13, no. 17 (2025): 99–110. https://doi.org/10.37745/ejcsit.2013/vol13n1799110.

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The evolution of automation technology has progressed through three distinct waves, transforming from simple rule-based systems to sophisticated agentic automation. This article traces this evolutionary journey, examining how Robotic Process Automation (RPA) established foundations for efficiency while the integration of artificial intelligence capabilities expanded automation's scope and resilience. The emergence of Agentic Process Automation (APA) represents the frontier of this evolution, enabling autonomous learning, contextual decision-making, and self-directed optimization. The technical foundations of APA systems are explored, including reinforcement learning frameworks, multi-agent architectures, and explainable AI components that enable increasingly sophisticated capabilities. The article addresses implementation challenges such as knowledge representation, safety controls, and legacy system integration, highlighting effective technical solutions. Finally, future investigation directions and industry applications are examined, including cross-domain generalization, ethical decision frameworks, and transformative applications across financial services, healthcare, and manufacturing sectors.

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Alfarhan, Eng Ahmad Abdulhamid, and Housam Ghanim Alhazeem. "The Impact of Technology on Industrial Process Automation." International Journal of Engineering Research and Applications 14, no. 12 (2024): 20–27. https://doi.org/10.9790/9622-14122027.

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This article explores the transformative role of technology in automating industrial processes. By leveraging advanced systems such as Artificial Intelligence (AI), Internet of Things (IoT), and Programmable Logic Controllers (PLCs), industries are achieving unprecedented levels of efficiency, precision, and operational safety. This paper provides a comprehensive overview of the key technologies, their applications, benefits, challenges, and potential future developments in industrial automation

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Patil, Rahul S. "Productivity Improvement using Automation in Conveyor Roller Welding." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 146–59. http://dx.doi.org/10.22214/ijraset.2021.34898.

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In the industrial workplace, automation enhances productivity and quality while reducing errors and waste, boosting safety, and providing greater flexibility to the manufacturing process. Industrial automation, in the end, results in enhanced safety, dependability, and profitability. Increased productivity is achieved by automating the welding machine for conveyer rollers. Many departments are included in this project like design, fabrication, testing, etc. The movement of welding torch with respect to workpiece can be automated with the help of pneumatics along with use PLC control system. Accuracy is the key factor on which the rate of success of the project can be measured. Hence, tried to standardized the project as much as possible by using standard data and equipment. Automation systems are increasingly displacing humans in the workplace. One of the advantages is that the human workforce will have more time to focus on more innovative projects as a result of the transition. All the required parameters are to be considered while designing the machine components. According to design, fabrication is done with the guidance of experts from the company as well as project guide.

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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 resulted in decrease in cost of energy consumption and hardware. The proposed system is dealt with deep learning–based soft sensors for automation of industrial processes. The eminent benefits of soft sensors are versatility, flexibility, and low cost. With deep learning, many number of features could be processed. Thus, deep learning–based soft sensor encapsulates the above benefits. Soft sensors offer another way for the measurement of process variables, which are measured offline. Deep learning techniques are famous in the design of soft sensors for tough nonlinear systems due to the robustness and accuracy. The work depicted here designs a soft sensor based on deep learning algorithm for automation of industry. In the proposed system, a soft sensor contemplated on deep learning such as the deep neural network (DNN) is presented. The application of deep learning–based soft sensors in the automation of some industrial processes is also discussed here. The proposed system is tested on automatic control on solar power plants and in the measurement of reactive energy in industries. It was found that the proposed system yielded better results with its application in the automated industrial processes.

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Wang, Shuyi, Bin Yu, Yang Ma, Jinzhou Liu, and Wen Zhou. "Impacts of Different Driving Automation Levels on Highway Geometric Design from the Perspective of Trucks." Journal of Advanced Transportation 2021 (April 14, 2021): 1–17. http://dx.doi.org/10.1155/2021/5541878.

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Truck automation is emerging as an innovative technology with benefits in traffic safety and the economy to revolutionize freight traffic. Despite these benefits, the potential negative or positive effects of different driving automation levels (from no automation to full automation) on highway geometry remained to be determined. In this study, differences related to sight distance characteristics among varied automation levels were firstly discussed and calibrated. Then, seven analysis scenarios of typical levels were proposed. Based on each level with tailored characteristics, the current models of geometric design elements including the required stopping sight distance, horizontal sight line offset, and lengths of vertical curves were revised. Finally, impacts of each level on computed values of those elements were evaluated. Results show that high or full driving automation could substantially lower the requirements of geometric design. Active safety systems have a similar role but with less significant effects. Differently, the driver assistance and partial or conditional automation systems put a higher demand on the road geometric design in terms of driving safety. Outcomes of this study can be used to design real-world geometry of dedicated lanes and provide a methodological basis for the operation of different driving automation features.

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ALVES, Adriano Ferreira, André Henrique Muniz COSTA, Gustavo Sousa SANÇÃO, Lucca Santos de Oliveira LIMA, and Luciano Pimenta VALADARES. "Home automation." RCMOS - Revista Científica Multidisciplinar O Saber 2, no. 2 (2024): 383–88. http://dx.doi.org/10.51473/rcmos.v2i2.344.

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The purpose of this article is to show the importance, functioning and management of residential security systems, how these devices are installed, their installation requirements, and how automation contributes to greater comfort and practicality in the installation and use of these devices. It presents its functions, its control facilities, according to the plans required by the client. It shows its objectives and how these systems work in this area of automation. In addition, it describes the advantages and benefi ts that the establishment of these mechanisms add to the safety and well-being of the individual. It provides the installation techniques of these systems, their occasions, proposals and insertions, in addition, it presents the use of ABNT standards in the establishment of the devices, in addition to presenting them.

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Kamala Aliyeva, Nihad Mehdiyev, Kamala Aliyeva, Nihad Mehdiyev. "SOFTWARE SELECTION FOR PROCESS AUTOMATION UNDER Z INFORMATION." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 148, no. 02 (2024): 59–66. http://dx.doi.org/10.36962/pahtei148022024-59.

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Choosing the right robotic process automation software for business requires careful consideration. Process automation software is becoming increasingly popular among businesses large and small due to its ability to automate routine repetitive tasks. It is designed to reduce errors and make tasks easier and faster, while also allowing employees to focus on more complex and more important work. From streamlining administrative processes to improving customer service, process automation offers a wide range of business benefits. For example, it can help automate back-office functions such as data entry, order processing, and customer service inquiries. This can help reduce the amount of time and resources required to complete these tasks, as well as improve accuracy and eliminate possible errors. In addition, process automation can help improve customer service by automating customer interaction processes such as inquiries and order processing. This can help speed up the process for customers, leading to increased customer satisfaction and loyalty. Process automation can also help businesses save money. By automating routine, repetitive tasks, businesses can reduce their labor costs as fewer employees are required to complete tasks. In addition, process automation can help reduce the amount of time and resources required to complete tasks, resulting in cost savings. When choosing process automation software, such key factors as possibilities of automation, scalability, safety should be considered. In this paper, these key factors are represented under Z- information for multi-criteria decision-making problem. Z- number theory is a very effective tool in great uncertainty conditions. If there are uncertainty conditions in problems solving process it is good using fuzzy logic [1-9]. Keywords: multi-criteria decision making, software selection, process automation, Z information.

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Radha P, Dr, Akshayaa S, and Vishnu Sree T. "History and Future of Human-Automation Interaction." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02420.

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The increasing integration of automation technologies, such as artificial intelligence (AI), robotics, and machine learning, is transforming industries, enhancing efficiency, and reshaping human-automation interaction (HAI). While these technologies offer significant advantages in sectors like healthcare, transportation, and manufacturing, their seamless integration requires careful consideration of safety, reliability, ethical concerns, and human oversight. The challenge lies in balancing machine autonomy and human involvement to foster trust, mitigate risks, and ensure ethical deployment. This paper explores the evolution of HAI, tracing its development from early mechanical automation in the Industrial Revolution to modern autonomous systems. Key aspects of HAI, including safety concerns, ethical dilemmas, cognitive load, divided attention, and human-robot collaboration, are analyzed. Furthermore, the role of human oversight in decision-making and risk mitigation is discussed. As automation continues to advance, understanding these dynamics is crucial for ensuring smooth and ethical integration into society. Future developments in AI-driven automation, human-robot collaboration, and autonomous systems will be pivotal in addressing current challenges and optimizing human-automation synergy. Keywords: Human-Automation Interaction (HAI), Artificial Intelligence (AI), Robotics, Machine Learning, Automation, Human-Robot Collaboration, Safety, Ethics, Trust, Cognitive Load, Risk Mitigation, Human Oversight, Decision-Making, Autonomous Systems, Industrial Revolution, Future of Automation.

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Geiselman, Eric E., Christopher M. Johnson, David R. Buck, and Timothy Patrick. "Flight Deck Automation." Ergonomics in Design: The Quarterly of Human Factors Applications 21, no. 4 (2013): 13–18. http://dx.doi.org/10.1177/1064804613489126.

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In our July 2013 article, “Flight Deck Automation: Invaluable Collaborator or Insidious Enabler?” we addressed the problems induced by flight deck automation. In this second of our two-article series, we propose design concepts intended to improve safety by modifying the interface between human operators and the automation they supervise. We provide examples illustrating our vision toward the implementation of a more context-aware system to enable effective communication of intent, goal progression, and limitations between machine functions and human operators.

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Othman, Idris, Mohamad Irwan P. Harahap, Hisham Mohamad, Nasir Shafiq, and Madzlan Napiah. "Development of BIM-Based Safety Management Model Focusing on Safety Rule Violations." MATEC Web of Conferences 203 (2018): 02007. http://dx.doi.org/10.1051/matecconf/201820302007.

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Necessity of construction automation through BIM framework could no longer be set aside if we were to remain relevant and con-current in the ever-changing, technology-driven construction practices. The functions of construction safety management, i.e., hazard identification, assessment and control for construction works could certainly benefit from this technology through safety work automation which enhances the effectiveness and efficiency of the required safety processes. This paper aims to outline a research project for developing both information and technical requirements for BIM-based system via literature review, questionnaire survey, focus group, and prototype realization. The project results, to be validated by real projects, will act as solid platform for developing working model that can be employed at various project settings and safety circumstances. It will support the decision-making process with respect to safety enhancement and accident mitigation at the construction site.

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Viswanathan, Anamika Pramod, and Kamalraj R. "Harnessing Automation and IIoT in Air Traffic Control for Advanced Efficiency and Safety." International Journal of Multidisciplinary Research in Science, Engineering and Technology 7, no. 05 (2024): 9979–84. http://dx.doi.org/10.15680/ijmrset.2024.0705065.

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The combination of automation and Industrial Internet of Things (IIoT) technology has transformed air traffic control (ATC), improving efficiency and safety in aviation. This article investigates the varied influence of automation and IIoT on ATC operations, emphasizing their importance in maximizing airspace use, boosting situational awareness, and limiting operational hazards. The advent of automatic flight data processing, radar surveillance, and automated decision-support technologies has reduced controller workload and increased operational efficiency in ATC. IIoT sensors and devices enable ATC systems to integrate real-time data on aircraft positions, weather, and runway status, allowing controllers to make more informed decisions and manage air traffic flow. Finally, automation and IIoT have evolved into critical tools for upgrading air traffic control, assisting controllers in managing airspace congestion, optimizing operational performance and safely and quick, efficient traffic movement. This study examines how automation and IIoT alter ATC operations, resulting in a more efficient, robust, and sustainable aviation environment. Keywords— Industrial Internet of Things (IIoT), Air Traffic Control (ATC), Automation, Operational Hazards, Radar surveillance, IoT sensors, Aviation environment.

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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 processes. Implementing these technologies enhances operational efficiency by allowing for real-time data collection and analysis, enabling timely decision-making. Additionally, automation reduces the reliance on manual interventions, thereby decreasing the likelihood of operational errors that can lead to safety incidents. Control engineering practices are essential for designing and optimizing control systems that maintain desired process variables within specified limits. Utilizing techniques such as feedback control, predictive control, and model-based control ensures that processes operate smoothly, even in the face of disturbances. These practices not only improve process stability but also contribute to energy efficiency and resource conservation, aligning with sustainability goals. Safety is a critical consideration in process automation. By integrating safety systems with automation technologies, organizations can establish a robust framework for risk management. Safety Instrumented Systems (SIS) and Emergency Shutdown Systems (ESD) are examples of controls that help mitigate hazardous situations, providing an additional layer of protection for both personnel and equipment. Furthermore, promoting a culture of continuous improvement through regular training and audits ensures that automation systems remain effective and up to date with industry standards. By fostering collaboration among engineering, operations, and safety teams, organizations can enhance communication and promote shared responsibility for plant reliability. In conclusion, promoting plant reliability and safety through effective process automation and control engineering practices is essential for modern industrial operations. By harnessing advanced technologies and fostering a culture of safety, organizations can achieve higher operational efficiency, reduce risks, and ensure sustainable growth.

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R, Shalikha, Nibarkavi N.A, Puhazhmathi M, and Suresh M. "Automation of Vehicle Door." International Research Journal of Automotive Technology 3, no. 1 (2020): 1–5. http://dx.doi.org/10.34256/irjat2011.

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In this paper, we have implemented the concept of automatic sliding door in public transport focusing on the safety of the passengers. The objective is to design a simple, effective and economic automatic sliding door system. Pneumatic cylinders, direction control valves and optical proximity sensor has been used to design the circuit.

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Lee, John D., and Jennifer Morgan. "Identifying Clumsy Automation at the Macro Level: Development of a Tool to Estimate Ship Staffing Requirements." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 14 (1994): 878–82. http://dx.doi.org/10.1177/154193129403801418.

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Automation promises increased operating efficiency and suggests the opportunity to reduce the number of people required to operate commercial ships safely; however, clumsy automation may degrade safety and performance, rather than enhance it. This paper distinguishes between clumsy automation at the macro level and clumsy automation at the micro level and discusses macro level issues. Specifically, macro level clumsy automation refers to the failure to consider the broad implications of automation induced crew reductions. Clumsy automation may reduce workload and facilitate crew reductions during routine sailing, but these crew reductions may leave the vessel more vulnerable to unacceptable workload peaks during unusual and emergency situations (fires, unscheduled maintenance, rough seas, reduced visibility). In these situations, tasks not accommodated by the automation may overwhelm a crew that has been reduced by the introduction of automation. Currently, no systematic procedure exists to estimate the changes that automation implies for staffing levels and skill requirements. Avoiding the effects of clumsy automation depends on identifying techniques to broaden the study of automation to include the effects on the entire crew during all phases of ship operation. This paper describes a computer-based tool to help identify potential overload situations that would be difficult to anticipate through intuitive assessments of how automation and other factors affect crew requirements.

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Parwate, Abhijeet K. "IOT Home Automation over the Cloud." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2683–86. http://dx.doi.org/10.22214/ijraset.2021.35443.

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Home automations give full management and versatile watching of home appliances for exaggerated comfort, economical energy use, prices saving, improved safety and security, and have driven the event of assorted sensible homes technologies. This paper presents the implementation of a home automation system utilizing the web of Things (iot) technology. This work tackles the issues of quality and incompatible standards inherent within the existing home automation solutions employing a strong distributed computing approach. During this project mobile phones, computer & web as device application for the appliances. Still as GAS outflow monitor on web. That is employed in any general automation via web. Todays in Republic of India ninety four population used smartphone, computer and web. Therefore here used web OF THINGS idea that physical hardware devices connected to the web and obtaining knowledge on web additionally management appliances from internet. This method will use any application for dominant and watching from or to web.

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Han, Yinfeng, Peng Li, Chongyou Xu, Xiaming Ye, and Yuzhe Xie. "Research and application of safety monitoring technology of distribution automation based on SOM neural network." International Journal of Low-Carbon Technologies 19 (2024): 559–68. http://dx.doi.org/10.1093/ijlct/ctae018.

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Abstract For automatic situation monitoring in power distribution safety monitoring, data features are mainly extracted by single hidden layer neural network, which makes the standard error of monitoring results larger. Therefore, the research and application of power distribution automation safety monitoring technology based on SOM neural network are proposed. Preprocess the power grid, collect distribution operation data, set multi-dimensional monitoring nodes according to the collected data, build a distribution operation status monitoring model and analyze the data fusion technology of distribution automation safety monitoring according to the model. On this basis, the distribution automation safety monitoring system is defined, the output node correction weight and the reverse output node correction weight are calculated, the SOM neural network identification model is constructed and the research and application of the distribution automation safety monitoring technology are completed under the action of the gravitational function between individuals within the target time. The experimental results show that the change curve of the number of vulnerabilities and the actual number of false positives is consistent, the number of vulnerabilities is small and the monitoring results are more accurate; The state of the safety monitoring equipment of distribution automation is normal. After applying the method in this paper, the change curve is consistent with the actual value, and the delay time is less than 15 ms.

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de Boer, Robert J., and Karel Hurts. "Automation Surprise." Aviation Psychology and Applied Human Factors 7, no. 1 (2017): 28–41. http://dx.doi.org/10.1027/2192-0923/a000113.

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Abstract. Automation surprise (AS) has often been associated with aviation safety incidents. Although numerous laboratory studies have been conducted, few data are available from routine flight operations. A survey among a representative sample of 200 Dutch airline pilots was used to determine the prevalence of AS and the severity of its consequences, and to test some of the factors leading to AS. Results show that AS is a relatively widespread phenomenon that occurs three times per year per pilot on average but rarely has serious consequences. In less than 10% of the AS cases that were reviewed, an undesired aircraft state was induced. Reportable occurrences are estimated to occur only once every 1–3 years per pilot. Factors leading to a higher prevalence of AS include less flying experience, increasing complexity of the flight control mode, and flight duty periods of over 8 hr. It is concluded that AS is a manifestation of system and interface complexity rather than cognitive errors.

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Rönitzsch, Thomas. "Safety und Security für die (Zukunfts‐)Sichere Automation." CITplus 28, no. 4 (2025): 28–30. https://doi.org/10.1002/citp.202500408.

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Mit der Digitalisierung im Maschinen‐ und Anlagenbau ist Safety ohne Security – also ohne Schutz vor Cyber‐Angriffen – kaum mehr denkbar. Das gilt natürlich auch für ASi Netzwerke und somit für ASi‐5 Safety und ASi Safety at Work gleichermaßen.

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Alexander. P. "The emerging roles of Automation in safety and security." International Journal on Integrated Education 2, no. 1 (2020): 62–65. http://dx.doi.org/10.31149/ijie.v2i1.523.

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The present study defines automated solutions in safety and security in the emerging world. As there are large number of cyber security threats in the world there have been large number of solutions and one such solution is the use of automation in safety and security. Hence, the presented report display the role and importance of automation.

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ITOH, Makoto, Toshiyuki INAGAKI, and Neville MORAY. "Trust in Situation-Adaptive Automation for Systems Safety." Transactions of the Society of Instrument and Control Engineers 35, no. 7 (1999): 943–50. http://dx.doi.org/10.9746/sicetr1965.35.943.

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Witkowski, Paul. "Case study: Novel ways automation enhances medication safety." American Journal of Health-System Pharmacy 64, no. 14_Supplement_9 (2007): S21—S23. http://dx.doi.org/10.2146/ajhp070192.

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Castilho, Diogo. "Automation for Safety and Precision in Flight Testing." Aviation Psychology and Applied Human Factors 10, no. 1 (2020): 29–34. http://dx.doi.org/10.1027/2192-0923/a000178.

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Abstract. The first flight of any new aircraft remains a potentially dangerous event. Test pilots face many unknowns when a prototype leaves the ground for the first time. In a time when remotely piloted and autonomous aircraft fly every day, the question about using their technologies to avoid losing a test pilot arises. This study investigates the advantages of using a machine to test another machine. It also discusses the disadvantages of relying on airborne sensors instead of using the test pilot’s cognitive capabilities and judgment. The analysis of collected flight testing data suggests that aircraft handling qualities may be more precisely tested adding specific automation. However, remote control and autonomous flight testing bring new safety constraints that cannot be ignored.

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Van Cott, Harold P. "“Smart Automation Enhances Safety”: A Motion for Debate." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 9 (1995): 448–49. http://dx.doi.org/10.1177/154193129503900901.

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Bhatti, Zeeshan E., Partha S. Roop, and Roopak Sinha. "Unified Functional Safety Assessment of Industrial Automation Systems." IEEE Transactions on Industrial Informatics 13, no. 1 (2017): 17–26. http://dx.doi.org/10.1109/tii.2016.2610185.

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Cieler, Stephan, Ulrich Konigorski, Stefan Lüke, and Hermann Winner. "Proreta 3 Project — Automation, Safety with Assistance Systems." Auto Tech Review 3, no. 11 (2014): 30–35. http://dx.doi.org/10.1365/s40112-014-0785-5.

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Van Cott, Harold P., Earl L. Wiener, Christopher D. Wickens, Harold S. Blackman, and Thomas B. Sheridan. "Smart Automation Enhances Safety: A Motion for Debate." Ergonomics in Design: The Quarterly of Human Factors Applications 4, no. 4 (1996): 19–23. http://dx.doi.org/10.1177/106480469600400405.

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Manzey, Dietrich, Karl Boehme, and Markus Schoebel. "Human Redundancy as Safety Measure in Automation Monitoring." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (2013): 369–73. http://dx.doi.org/10.1177/1541931213571080.

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Oglesby, James M., Kimberly Stowers, Kevin Leyva, et al. "Assessing Human-Automation System Safety, Efficiency, and Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, no. 1 (2014): 1149–53. http://dx.doi.org/10.1177/1541931214581240.

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