Lab-Scale Smart Factory Implementation Using ROS

Abdelatti, Marwan; Sodhi, Manbir

doi:10.1007/978-3-031-09062-2_4

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…In the same way, Hsu et al proposed a Smart Factory architecture that includes four layers (Physical Resource Layer, Cloud Service Layer, Terminal Layer, and Network Layer), so the infrastructure of the factory can respond to the fast demand of the market; the technologies used to implement the architecture include Edge computing, Fog computing, Cloud Computing, and Blockchain, implemented through different devices like robot arms, Raspberry Pi, microcontrollers, cameras, PLCs, sensors, among others [55] Recently, Lee et al investigate the application of different technologies within the Smart factory of the automotive industry applied in cellular manufacturing, finding that the most important are: digital twins, additive manufacturing, AI-based monitoring, human-robot collaboration, and advanced technology for supply chain and logistics, the research also emphasizes the importance of the five levels of a smart factory framework, including digitization, connectivity, predictability and analysis, optimization and cognitive, and self-recognition and autonomous [56]. Abdelatti et al present a lab-scale smart factory based on the Fischertechnik kit as part of the Industry 4.0 Learning Factory, but all interconnections including hardware, software, and protocols have been replaced by open components such as Arduino, sensors, Raspberry Pi, and open-source controllers and software, using the Robot Operating System (ROS) and the MQTT protocol, integrating a Human Machine Interface (HMI) with a SCADA system [57]. Ryalat et al presented a Smart Factory architecture based on: Physical, Network, Data Application, and Terminal layers, explaining that the implementation of the SF can be through the following pillars of Industry 4.0: cyber-physical systems, the Internet of Things (IoT), big data analytics, cloud computing, artificial intelligence, and autonomous robotics.…”

Section: A Literature Reviewmentioning

confidence: 99%

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

Fortoul-Diaz,

Carrillo-Martinez,

Centeno-Tellez

et al. 2023

IEEE Access

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The Smart Factory has been a concept studied during the last decade that has not been standardized yet; for this reason, the academy and industry have developed a wide variety of new architectures that describe the integration of elements for digitization and interconnection. The present research aims to introduce a new architecture proposal for migrating traditional (automation) to smart (digitization) factories, implemented through open-source software. The proposed architecture is integrated, for the first time, by the interconnection of six main elements: cyber-physical systems, edge computing, artificial intelligence, cloud computing, data analytics, and cybersecurity; the research describes in detail their definitions, sub-elements, the interconnection between elements, and the minimum requirements for implementation. The test of the proposed smart factory was done through a scale smart factory pilot testing for a pick and place process, where the assembly of wood pieces from the geometric Tangram's puzzle was required; for this reason, the pilot testing includes a six-degree-of-freedom robot arm, a conveyor, a vision system, and a storage area. The case study conducted in this research allowed the assembly of four puzzles (fish, house, rocket, and swan) that were assembled with four different batches of pieces. The implementation allowed testing flexibility and adaptability. The final assembly reports included the status of assembly, the number of pieces assembled, the number of pieces stored, the assembly sequence, and the assembly time. Similarly, the development of the SCADA system allowed asset control as well as asset monitoring. The KPIs of the assembly process measured productivity (OTD) and time tracking (ATCT and TA) of the 16 tests, founding that the interconnection and digitization of the scale manufacturing cell were fully integrated and allowed repeatability; the proposed SF architecture represents an alternative for the small and medium automated factories to achieve interconnection and digitization, and it is ready to be tested in a more complex scenario.

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Section: A Literature Reviewmentioning

confidence: 99%

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

Fortoul-Diaz,

Carrillo-Martinez,

Centeno-Tellez

et al. 2023

IEEE Access

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“…Based on the publish/subscribe mechanism, MQTT is a lightweight, open, and easy-to-implement solution. The MQTT broker separates the publisher from the subscriber, routing messages by topic [9]. This architecture encourages the integration of low-bandwidth devices in the IoT context, where numerous RTUs and MTUs with limited processing power can be present [10].…”

Section: Introductionmentioning

confidence: 99%

An Open-Source Supervisory Control and Data Acquisition Architecture for Photovoltaic System Monitoring Using ESP32, Banana Pi M4, and Node-RED

He,

Baig,

Iqbal

2024

Energies

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To overcome the issues of the existing properties and the non-configurable supervisory control and data acquisition (SCADA) architecture, this paper proposes an IoT-centered open-source SCADA system for monitoring photovoltaic (PV) systems. The system consists of three voltage sensors and three current sensors for data accumulation from the PV panel, the battery, and the load. As a part of the system design, a relay is used that controls the load remotely. An ESP32-E microcontroller transmits the collected data to a Banana Pi M4 Berry (BPI-M4 Berry) through the Message Queuing Telemetry Transport (MQTT) protocol over a privately established communication channel using Wi-Fi. The ESP32-E is configured as the MQTT publisher and the BPI-M4 Berry serves as the MQTT broker. Locally installed on the BPI-M4 Berry, the Node-RED platform creates highly customizable dashboards as human–machine interfaces (HMIs) to achieve real-time monitoring of the PV system. The proposed system was successfully tested to collect the PV system voltage/current/power data and to control the load in a supervisory way under a laboratory setup. The complete SCADA architecture details and test results for the PV system data during the total eclipse on 8 April 2024 and another day are presented in this paper.

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Desktop Factory: A Laboratory-Scale Multisignal RF/PID-Based Automation Framework for Industrial Telematics and Control Experiments

Igbigbi,

Benyeogor,

Benyeogor

et al. 2024

2024 XVI Congreso De Tecnología, Aprendizaje Y Enseñanza De La Electrónica (TAEE)

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Lab-Scale Smart Factory Implementation Using ROS

Cited by 3 publications

References 11 publications

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

A Smart Factory Architecture Based on Industry 4.0 Technologies: Open-Source Software Implementation

An Open-Source Supervisory Control and Data Acquisition Architecture for Photovoltaic System Monitoring Using ESP32, Banana Pi M4, and Node-RED

Desktop Factory: A Laboratory-Scale Multisignal RF/PID-Based Automation Framework for Industrial Telematics and Control Experiments

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