Article
Construction & Building Technology
Pin Zhang, Ren-Peng Chen, Tian Dai, Zhi-Teng Wang, Kai Wu
Summary: This study introduces an AIoT-based system for real-time monitoring of tunnel construction, which can transfer and store shield machine operational parameters and tunnelling-induced settlement data in real time; prediction models based on machine learning algorithm random forest are established to predict shield operational parameters and ground response.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Jiu Li Chong, Kit Wayne Chew, Angela Paul Peter, Huong Yong Ting, Pau Loke Show
Summary: The research aimed to design and develop an Internet of things (IoT)-based environmental control and monitoring system for mushroom cultivation. It enables remote monitoring and control of the growth conditions of the mushrooms, such as temperature, humidity, light intensity, and soil moisture level, through a mobile and web application. Users can remotely visualize the growth of the mushrooms through video and images via the Internet.
Article
Energy & Fuels
Maoyun Zhang, Yuheng Jiang, Chuan Wan, Chen Tang, Boyan Chen, Huizhuang Xi
Summary: To optimize the functionality of AGVs in logistics workshops, a wireless charging and task-based logistics intelligent dispatch system was developed based on the Internet of Things. This system aimed to improve freight efficiency in the workshop's logistics system. The scheduling system successfully addressed the round-trip scheduling issue between AGVs and multiple tasks through the application of AGVs and task path planning.
Article
Engineering, Multidisciplinary
Hanan Naser Alsuqaih, Walaa Hamdan, Haythem Elmessiry, Hussein Abulkasim
Summary: The development of IoT has enabled remote health data analysis, but protecting patients' data privacy is challenging. Blockchain technology is proposed as a solution to enable secure and private exchange of personal health data. This work addresses the inadequacy of previous work in providing safe and privacy-preserving diagnostic enhancement for e-Health platforms.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Chemistry, Analytical
Gatera Antoine, Chomora Mikeka, Gaurav Bajpai, Kayalvizhi Jayavel
Summary: Road accidents are the greatest public health burden worldwide, with speed identified as a core factor in these accidents. This study developed a monitoring system using PWM and IoT technology to decrease the supplied voltage to the motor and increase safety. Evaluated modeling techniques showed that the RF model outperformed the MLR model, with an R-2 value of 98.8%.
Article
Computer Science, Information Systems
Ranya M. M. Salem, M. Sabry Saraya, Amr M. T. Ali-Eldin
Summary: This paper proposes a new industrial IoT cloud-based model for real-time wastewater monitoring and controlling. The system accurately monitors the water quality parameters of wastewater and sends out alerts and controls the gates to ensure that only treatable wastewater is processed in the treatment plant.
Article
Automation & Control Systems
B. Natesha, Ram Mohana Reddy Guddeti
Summary: This article discusses the method of diagnosing machine faults in industrial environments using fog computing architecture, judging the normal and abnormal states of machines through their operating sounds and monitoring.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Energy & Fuels
Vladimir Tanasiev, Stefanita Pluteanu, Horia Necula, Roxana Patrascu
Summary: European policies on climate and energy change have transformed the building sector, with digital technologies, particularly IoT solutions, playing a crucial role in improving energy efficiency. However, data integration and exchange between different solutions remain challenging.
Article
Computer Science, Information Systems
Eunchan Kim, Jaehyuk Kim, Juyoung Park, Haneul Ko, Yeunwoong Kyung
Summary: Recently, the development of the Internet of Things (IoT) has enabled continuous and personal electrocardiogram (ECG) monitoring. This paper proposes a tiny machine learning (TinyML)-based classification (TinyCES) to reduce memory and network resource usages for classification. The performance results show that TinyCES has great potential to be a lightweight and resource-efficient ECG monitoring system, with an approximately 97% detection ratio.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Chemistry, Analytical
Claudio Ferreira Dias, Juliane Regina de Oliveira, Lucas D. de Mendonca, Larissa M. de Almeida, Eduardo R. de Lima, Lucas Wanner
Summary: The proposed framework presents a novel approach for remote monitoring of mechanical stresses in guyed towers, utilizing mesh network, neural networks, and sensor fusion techniques to reduce the risk of collapse and estimate tower displacement.
Article
Chemistry, Analytical
Shin-Chi Lai, Szu-Ting Wang, Kuan-Lin Liu, Chang-Yu Wu
Summary: Rodent infestations can lead to various problems, including diseases, property damage, and crop loss. To address this, we propose a system for remotely monitoring rodent infestations using IoT nodes equipped with LoRa modules. This system wirelessly transmits data related to rodent activity to a cloud server, providing real-time information. It also utilizes images to auxiliary detect rodent activity in different buildings.
Article
Computer Science, Information Systems
Omaji Samuel, Akogwu Blessing Omojo, Syed Muhammad Mohsin, Prayag Tiwari, Deepak Gupta, Shahab S. Band
Summary: This article introduces a blockchain-based anonymous system called GarliMediChain, which provides anonymity and privacy protection in COVID-19 information sharing. It combines garlic routing and blockchain to achieve low-latency communication, privacy, anonymity, trust, and security. The proposed blockchain-based coalition system and fictitious play method enable effective information sharing and belief updating. Simulation results show that the system is resistant to security-related attacks and is efficient, robust, and adaptive.
IEEE SYSTEMS JOURNAL
(2023)
Article
Energy & Fuels
Maria G. Ioannides, Elias B. Koukoutsis, Anastasios P. Stamelos, Stylianos A. Papazis, Erofili E. Stamataki, Athanasios Papoutsidakis, Vasilios Vikentios, Nikolaos Apostolakis, Michael E. Stamatakis
Summary: This paper presents recent research and progress in integrating Internet of Things (IoT) technology with electrical machines, focusing on the control system for induction motors (Iota M). It describes the design and operation of the system, as well as the software code and hardware units for speed control. The results from tests of the Iota M integrated with IoT show high-accuracy speed control and increased efficiency at supersynchronous speeds, demonstrating the potentials of IoT as a multipurpose tool in industrial control.
Article
Automation & Control Systems
Daqiang Guo, Ray Y. Zhong, Yiming Rong, George G. Q. Huang
Summary: This article introduces the concepts and principles of shop-floor logistics and manufacturing synchronization. It proposes an overall framework based on an intelligent manufacturing system and explores synchronization mechanisms using mixed-integer programming and an equivalent constraint programming model. The case study demonstrates the advantages of this approach.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Chemistry, Multidisciplinary
Aryuanto Soetedjo, Evy Hendriarianti
Summary: This paper presents the development of a plant monitoring system using an IoT-based SCADA. The system monitors leaf temperature, air temperature and humidity, and soil parameters. A low-cost thermal camera is used for measuring leaf temperature, and the Modbus TCP protocol is used for data transfer and visualization. Experimental results show that the system is reliable for real-time and continuous plant monitoring.
APPLIED SCIENCES-BASEL
(2023)
Article
Endocrinology & Metabolism
Denise Machado Mourao, Bruna Martins Grassi Sedlmaier, Victor Luiz Rocha Pires, Grasiely Faccin Borges
Summary: Educational intervention about diabetes for students and school staff in Brazil is effective in improving knowledge and perception of this condition.
INTERNATIONAL JOURNAL OF DIABETES IN DEVELOPING COUNTRIES
(2023)
Article
Computer Science, Interdisciplinary Applications
D. Mourtzis, J. Angelopoulos, N. Panopoulos
Summary: In the realm of the fourth industrial revolution, ensuring the flawless and continuous operation of technology-rich workplaces is a challenging problem. This paper presents a tool based on intelligent decision making and augmented reality (AR) to assess technician skills, allocate jobs, and provide task-related support. The framework is validated in a real industrial case study of a CNC machine manufacturer.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Review
Energy & Fuels
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: Industry 5.0, as a subset of Society 5.0, builds on the foundations of Industry 4.0 and emphasizes human-centered, resilient, and sustainable design, leading to societal transformation.
Article
Automation & Control Systems
Panagiotis Stavropoulos, Thanassis Souflas, Christos Papaioannou, Harry Bikas, Dimitris Mourtzis
Summary: Chatter is a major limitation in milling processes, affecting surface quality and machine tool health. Existing detection methods lack adaptability and may be overfit. This study proposes a vibration-based detection method with high classification performance and fast detection speed.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Jiewu Leng, Weinan Sha, Baicun Wang, Pai Zheng, Cunbo Zhuang, Qiang Liu, Thorsten Wuest, Dimitris Mourtzis, Lihui Wang
Summary: Industry 5.0 aims to prioritize human well-being in manufacturing systems, achieving social goals beyond employment and growth for the sustainable development of humanity. However, research on Industry 5.0 is still in its early stages and lacks systematic exploration. This paper reviews the evolution and characteristics of Industry 5.0, discusses its connotation system and diversified essence, and proposes a tri-dimensional system architecture for its implementation. It also examines key enablers, future implementation paths, potential applications, and challenges. The limitations of current research are discussed, and potential future research directions are highlighted.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Review
Chemistry, Multidisciplinary
Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Kyriakos Sabatakakis, Dimitris Mourtzis
Summary: The automation of workflows for the optimization of manufacturing processes through digital twins is achievable with the matured technologies of Industry 4.0. However, there is potential for further exploration of technologies like metamodelling languages. A framework utilizing an automation workflow knowledge database, technology classification, and metamodelling language is presented, highlighting its usefulness in creating digital twins for manufacturing processes while involving human input. Two process control paradigms are used to illustrate the applicability of the approach within the framework of certifiable human-in-the-loop process optimization.
APPLIED SCIENCES-BASEL
(2023)
Review
Chemistry, Multidisciplinary
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: Blockchain is a distributed and decentralized database that allows for secure sharing of information among computer network nodes. In the context of Industry 4.0, digitalization of manufacturing systems has increased the importance of big data sets, but also heightened the risk of cyberattacks. Blockchain technology contributes to intelligent manufacturing by protecting data validity, facilitating inter- and intra-organizational communication, and improving manufacturing processes' efficiency.
APPLIED SCIENCES-BASEL
(2023)
Editorial Material
Chemistry, Multidisciplinary
Nikolaos Papakostas, Lihui Wang, Sotiris Makris, Dimitris Mourtzis
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Dimitris Mourtzis, Nikos Balkamos
Summary: This research adopts a case study from Process Industries to design a flexible production line framework, automate quality control points, and improve manufacturing system performance. A digital shadow of a production line is developed to collect, analyze, and identify potential issues, and an edge computing system is implemented for reliable and low-latency communications. The digital model is validated using statistical Design of Experiments and Analysis of Variance. The goal of this research is to improve the design and performance of the industry's production section and increase production rate and product mix.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Dimitris Mourtzis, Sofia Tsoubou, John Angelopoulos
Summary: Robotic systems have become essential in modern manufacturing due to their unique characteristics. However, their low reliability poses challenges and affects productivity and profit. To address this issue, this research proposes a method based on digital twin and predictive maintenance to optimize the reliability of a robotic cell. The study includes simulation, machine learning model training for fault detection, and a framework for predicting remaining useful life. Applying appropriate maintenance tasks based on these results can prevent serious failures and ensure high reliability.
Review
Computer Science, Information Systems
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: This paper aims to identify the capabilities and distinguishing characteristics of both humans and machines, laying the groundwork for improving human-machine interaction (HMI), emphasizing the concept of a Humachine.
Article
Engineering, Industrial
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: With the advances in Industry 4.0 and the upcoming Industry 5.0, the use of multiple UAVs for indoor tasks has increased. The proposed method in this paper presents a way to remotely plan and control drones based on the use of Augmented Reality. This method contributes towards enabling engineers to visualize the drone path and add multiple waypoints without human intervention.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Dimitris Mourtzis, John Angelopoulos
Summary: Climate change, energy efficiency, and access to contemporary energy services are important global topics. The establishment of reliable communication infrastructure and increased digitization has led to the creation of smart grids. Reactive power optimization, using algorithms like particle swarm optimization, is crucial for energy production and distribution. However, premature convergence and local optima can be issues with these algorithms. This research presents an improved PSO algorithm for minimizing power loss in smart grids, achieving approximately an 11% improvement compared to conventional algorithms, as demonstrated on the IEEE 30-bus standardized model.
Proceedings Paper
Engineering, Multidisciplinary
Dimitris Mourtzis, Panagiotis Kaimasidis, John Angelopoulos, Nikos Panopoulos
Summary: Traditional manufacturing systems rely on CNC for product and component manufacturing, requiring skilled personnel. Industry 4.0 introduces advanced digital technologies like XR, including AR, MR, and VR, to improve user perception and enable extended HMI. This research presents a framework using AR to facilitate engineers in generating Gcode scripts for machining operations, with MR providing a better perception of processes and virtual instructions for operators, and Cloud-based communication for automated transmission of Gcode to machine tools.
PRODUCT LIFECYCLE MANAGEMENT PLM IN TRANSITION TIMES: THE PLACE OF HUMANS AND TRANSFORMATIVE TECHNOLOGIES, PLM 2022
(2023)
Review
Engineering, Industrial
Jiewu Leng, Yuanwei Zhong, Zisheng Lin, Kailin Xu, Dimitris Mourtzis, Xueliang Zhou, Pai Zheng, Qiang Liu, J. Leon Zhao, Weiming Shen
Summary: Manufacturers are realizing the importance of system resilience and considering the use of Decentralized Autonomous Organization (DAO) to achieve decentralized autonomous manufacturing and resilient Industry 5.0 vision. This paper reviews the literature on Decentralized Manufacturing (DM) and Autonomous Manufacturing (AM), and proposes a manufacturing paradigm called Decentralized Autonomous Manufacturing (DAM). Future research directions and challenges of DAM are highlighted.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
