Intelligent manufacturing is a challenging and compelling topic in Industry 4.0. Many computer vision (CV)-based applications have attracted widespread interest from researchers and industries around the world. However, it is difficult to integrate v...
The need for high-availability, efficient, training solutions for industrial automation technology is driving the adoption of new tools, software and services supporting the Industry 4.0 paradigm. Specific requirements include vendor agnostic and sta...
In this article, we propose a distributed synchronization solution to achieve decentralized coordination in a system of collaborative robots. This is done by leveraging cloud-based computing and 5G technology to exchange causal ordering messages betw...
Integrated security stacks, which offer diverse security function chains in a single device, hold substantial potential to satisfy the security requirements of multiple tenants on a public cloud. However, it is difficult for the software-only or hard...
The research explored the automation production lines for the bottling of particulate materials in the pharmaceutical industries, covering the integrated processes of loading bottles, filling with particles, sealing, screwing on caps, quality inspect...
Recent paradigm shifts in manufacturing have resulted from the need for a smart manufacturing environment. In this study, we developed a model to detect anomalous signs in advance and embedded it in an existing programmable logic controller system. F...
Industry 4.0 is a paradigm that enhances industrial automation systems with the recent advances in the domain of the Internet of Things (IoT), gaining new possibilities and providing new services. Traditional industrial machines do not have IoT capab...
This study proposes a design for unmanned chemical factories and implementation based on ultra-low-cost Internet of Things technology, to combat the impact of COVID-19 on industrial factories. A safety and private blockchain network architecture was...
To address the limitations of traditional fixed-threshold alarms for distributed control systems (DCS), programmable logic controllers (PLC), safety instrumented systems (SIS), and remote terminal unit (RTU) production control systems in oil-gas stat...
Industrial controls, and in particular, Programmable Logic controllers (PLC) currently form an important technological basis for the automation of industrial processes. Even in the age of industry 4.0 and industrial internet, it can be assumed that t...
The increasing challenges of agricultural processes and the growing demand for food globally are driving the industrial agriculture sector to adopt the concept of ‘smart farming’. Smart farming systems, with their real-time management and...
This paper presents the design and experimental validation of a hybrid architecture for the Industrial Internet of Things (IIoT), based on a Siemens LOGO! v8.4 programmable logic controller (PLC) (Siemens AG, Munich, Germany), Node-RED v3.1.3 (OpenJS...
This article deals with the creation of a digital twin for an experimental assembly system based on a belt conveyor system and an automatized line for quality production check. The point of interest is a Bowden holder assembly from a 3D printer, whic...
With the Industry 4.0 paradigm comes the convergence of the Internet Technologies and Operational Technologies, and concepts, such as Industrial Internet of Things (IIoT), cloud manufacturing, Cyber-Physical Systems (CPS), and so on. These concepts b...
This study investigates the potential of deploying a neural network model on an advanced programmable logic controller (PLC), specifically the Finder Opta™, for real-time inference within the predictive maintenance framework. In the context of...
The main task of the research involves creating a Digital Twin (DT) application serving as a framework for Virtual Commissioning (VC) with Supervisory Control and Data Acquisition (SCADA) and Cloud storage solutions. An Internet of Things (IoT) integ...
The deployment of 5G standalone (SA) networks introduces cloud-native core architectures, service-based interfaces, and programmable radio access networks that substantially expand the mobile attack surface. Existing work has focused mainly on protoc...
Access to operational information in industrial plants forces operators to interrupt their tasks, walk to the human–machine interface (HMI) terminals, and navigate heterogeneous platforms—namely programmable logic controllers (PLC), super...
The quality of machined marine propellers plays a critical role in underwater propulsion performance. Precision casting is the predominant manufacturing technique; however, deformation of wax models and rough blanks during manufacturing frequently ca...
Industrial Internet of Things (IIoT) networks, Microsoft Azure Internet of Things (IoT) Hub, and device twins (DvT) are increasingly recognized as core enablers of adaptive, data-driven manufacturing. This paper proposes a hierarchical IIoT framework...
A manufacturing paradigm shift from conventional control pyramids to decentralized, service-oriented, and cyber-physical systems (CPSs) is taking place in today’s 4th industrial revolution. Generally accepted roles and implementation recipes of cyber...
Smart factories merge various technologies in a manufacturing environment in order to improve factory performance and product quality. In recent years, these smart factories have received a lot of attention from researchers. In this paper, we introdu...
With the explosive growth of data at the edge in the Industrial Internet of Things (IIoT), edge devices are increasingly performing more data processing tasks to alleviate the load on cloud servers. To achieve this goal, Programmable Logic Controller...
Software-Defined Networking (SDN) centralizes control logic, improving programmability but exposing the controller to volumetric and low-rate Distributed Denial of Service (DDoS) attacks. Entropy-based detectors often raise late alarms or require sig...
To address the strong nonlinearity, coupling, and time-delay characteristics in greenhouse environmental regulation, as well as the large overshoot and limited robustness of conventional proportional–integral–derivative (PID) control, whi...
Incremental two-dimensional (2D) Delaunay triangulation is a fundamental operation in point-cloud processing and surface reconstruction, yet its irregular memory access and dynamically evolving topology make efficient hardware implementation difficul...
The networks on a centralized cloud architecture that interconnect Internet of Things (IoT) gadgets are not limited by national or jurisdictional borders. To ensure the secure sharing of sensitive user data among IoT gadgets, it is imperative to main...
Object tracking and recognition are key technologies in Industry 4.0, enabling automated systems to perform tasks such as quality control, defect detection, material identification, and process monitoring. Many industrial vision solutions rely on hig...
Climate control systems are critical to ensuring the continuous operation of data centers, as they maintain the environmental conditions required by sensitive electronic equipment. In this context, continuous supervision of refrigeration compressors...
This paper presents a hybrid physics–AI framework for real-time emission monitoring in industrial boiler systems within an IIoT-enabled Industry 4.0 environment. The proposed framework integrates physics-based emission estimation with AI-based...
Temperature and humidity control in modular edible fungi plant factories is challenging because of strong bidirectional coupling and mismatched loop dynamics: the pure delay is 1779 s in the temperature channel and 1462 s in the humidity channel. To...