An Internet of Things-Based Monitoring System for Shop-Floor Control

Mourtzis, Dimitris; Milas, Nikolaos; Vlachou, Aikaterini

doi:10.1115/1.4039429

Cited by 44 publications

(20 citation statements)

References 37 publications

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“…As such, the various factors that have to be considered to define the business model and the pricing of a 5G industrial network are discussed in [36]. Next, in terms of predictive maintenance, the identification of potential issues before they occur, is an early area of interest for 5G in the IIoT [37]. Moving information and network functions to the network's edge can help reduce latency, which will be necessary for applications that require ultra-low latency.…”

Section: The Potential Of 5g In Manufacturingmentioning

confidence: 99%

Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends

2021

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For many applications deployed in manufacturing networks, communication latency has been a significant barrier. Despite the constant development of improved communication protocols and standards during Industry 4.0, the latency problem persists, lowering quality of services (QoS) and quality of experience (QoE). Tactile internet (TI), with its high availability, security, and ultra-low latency, will add a new dimension to human-machine interaction (HMI) by enabling haptic and tactile sensations. The tactile internet (TI) is a cutting-edge technology that uses 5G and beyond (B5G) communications to enable real-time interaction of haptic data over the internet between tactile ends. This emerging TI technology is regarded as the next evolutionary step for the Internet of Things (IoT) and is expected to bring about massive changes towards Society 5.0 and to address complex issues in current society. To that end, the 5G mobile communication systems will support the TI at the wireless edge. As a result, TI can be used as a backbone for delay mitigation in conjunction with 5G networks, allowing for ultra-reliable low latency applications like Smart Manufacturing, virtual reality, and augmented reality. Consequently, the purpose of this paper is to present the current state of 5G and TI, as well as the challenges and future trends for 5G networks beyond 2021, as well as a conceptual framework for integrating 5G and TI into existing industrial case studies, with a focus on the design aspects and layers of TI, such as the master, network, and slave layers. Finally, the key publications focused on the key enabling technologies of TI are summarized and the beyond 5G era towards Society 5.0 based on cyber-physical systems is discussed.

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Section: The Potential Of 5g In Manufacturingmentioning

confidence: 99%

Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends

2021

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“…Data collection units can collect data from machines and data collection units that provide detailed information about the machine. These data are collected quickly and efficiently and sent through wireless sensors to a cloud gateway [17].…”

Section: A Review Of Iot In Manufacturingmentioning

confidence: 99%

Internet of Things Based Cutting Tool Status Monitoring in a Computer Numerical Control Milling Machine

Natarajan¹,

Gokulachandran²

2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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The Internet of Things (IoT) in the manufacturing industry shares machine data in real time. The majority of industrial data can be gathered and processed from machines and other remote IoT devices in a production system through data streaming. As sensors become smaller and more affordable, the Internet of things will attract more attention. It is possible to employ a wide range of sensors for monitoring, and with efficient open-source software, the status of the operation can be evaluated effectively. Our work aims at providing instructions for sending data (cutting tool status time) from Particle Photon devices connected to CNC milling machines to open-source software called ThingSpeak. This task is accomplished by integrating the Particle Photon device with the infrared sensor to the CNC milling machine. Three axis CNC vertical milling machine is used to manufacture the sample component. The status of the cutting tool, in this case the cutting time for each machining feature is monitored. Using infrared technology, the sensor detects whether the cutting tool is present. Particle photons measure machining time and communicate it to ThingSpeak. The ThingSpeak library will interpret the cloud information and displays it. With ThingSpeak software, we define the fields for various cutting tools and track every tool in real time. The time recorded using ThingSpeak software is found to be near to the time, which is monitored manually by the user. A major step in computer assisted process planning in manufacturing is monitoring the machining time for each cutting tool and it is successfully implemented in this research work.

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“…In the context of the proposed framework, the V2G communications are facilitated by the OPC-UA standard. The OPC-UA standard operates on top of the Transmission Control Protocol/Internet Protocol (TCP/IP) following the publish/subscribe pattern [43]. The standard allows the EVs and the CSs to expose their information via semantic representation in their information models.…”

Section: Open Platform Communications-unified Architecture (Opc-ua) Cmentioning

confidence: 99%

A Decision-Making Framework for the Smart Charging of Electric Vehicles Considering the Priorities of the Driver

2020

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During the last decade, the technologies related to electric vehicles (EVs) have captured both scientific and industrial interest. Specifically, the subject of the smart charging of EVs has gained significant attention, as it facilitates the managed charging of EVs to reduce disturbances to the power grid. Despite the presence of an extended literature on the topic, the implementation of a framework that allows flexibility in the definition of the decision-making objectives, along with user-defined criteria is still a challenge. Towards addressing this challenge, a framework for the smart charging of EVs is presented in this paper. The framework consists of a heuristic algorithm that facilitates the charge scheduling within a charging station (CS), and the analytic hierarchy process (AHP) to support the driver of the EV selecting the most appropriate charging station based on their needs of transportation and personal preferences. The communications are facilitated by the Open Platform Communications–Unified Architecture (OPC–UA) standard. For the selection of the scheduling algorithm, the genetic algorithm and particle swarm optimisation have been evaluated, where the latter had better performance. The performance of the charge scheduling is evaluated, in various charging tasks, compared to the exhaustive search for small problems.

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An Internet of Things-Based Monitoring System for Shop-Floor Control

Cited by 44 publications

References 37 publications

Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends

Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends

Internet of Things Based Cutting Tool Status Monitoring in a Computer Numerical Control Milling Machine

A Decision-Making Framework for the Smart Charging of Electric Vehicles Considering the Priorities of the Driver

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