Implementation of Industrial Internet of Things and Cyber-Physical Systems in SMEs for Distributed and Service-Oriented Control

Rojas, Rafael A.; Garcia, Manuel A. Ruiz

doi:10.1007/978-3-030-25425-4_3

Cited by 8 publications

(3 citation statements)

References 25 publications

(28 reference statements)

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“…1 Example of the telemetry data generated by an IoT sensor on a production line creation process of the system, as seem in reported case literature, for example, Garetti and Taisch (1999) and Brintrup et al (2019). In real-life industrial scenarios however, the smart PPC system should be able to collect data, clean it, prepare it for analysis, retrain its models, and offer refreshed insights without human intervention potentially self-adjusting its control parameters (Oluyisola et al, 2020;Rojas & Garcia, 2020). It should address the risk of concept drift, for instance by using adaptive time windows (Bifet & Gavalda, 2007).…”

Section: Systems Architecture Considerationsmentioning

confidence: 99%

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

et al. 2021

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In furtherance of emerging research within smart production planning and control (PPC), this paper prescribes a methodology for the design and development of a smart PPC system. A smart PPC system uses emerging technologies such as the internet of things, big-data analytics tools and machine learning running on the cloud or on edge devices to enhance performance of PPC processes. It achieves this by using a wider range of data sources from the production system, capturing and utilizing the experience of production planners, using analytics and machine learning to harness insights from the data and allowing dynamic and near real-time action to the continuously changing production system. The proposed methodology is illustrated with a case study in a sweets and snacks manufacturing company, to highlight the key considerations and challenges production managers might face during its application. The case further demonstrates considerations for scalability and flexibility via a loosely coupled, service-oriented architecture and the selection of fitting algorithms respectively to address a business requirement for a short-term, multi-criteria and event-driven production planning and control solution. Finally, the paper further discusses the challenges of PPC in smart manufacturing and the importance of fitting smart technologies to planning environment characteristics.

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Section: Systems Architecture Considerationsmentioning

confidence: 99%

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

et al. 2021

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“…The Transmission Control Protocol/Internet Protocol (TCP/IP) is commonly deployed for Ethernet-based communications. Such a combination provides important building blocks to achieve technical interoperability between disparate digital systems [19].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, Ethernet is becoming a de facto standard in office, enterprise or business systems and modern Cyber-Physical Systems (CPS) [19] [2,10] and the microcomputer Raspberry Pi (RPi) [12]. Recent publications in this sense can be found in [5,6,7,9,17,18,20].…”

Section: Introductionmentioning

confidence: 99%

Ethernet-based monitoring systems for renewable energy-hydrogen microgrids

González¹,

Pérez²,

Calero³

et al. 2021

Xlii Jornadas De Automática : Libro De Actas

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The digitization of power systems has given birth to the rise of challenging scenarios like Smart Grids and Smart Microgrids. These infrastructures are mainly based in decentralized energy generation as well as in the intelligent management of the energy flows and data communications. For their successful implementation, a communication network is imposed for the proper data transmission between the vast amount of sensors, controllers and supervisory nodes involved. Ethernet-based networks have become the prevalent means for communications in office environments and are being increasingly applied also for industrial facilities. Consequently, Smart Grids and Smart Microgrids are also being equipped with Ethernet communication. This paper presents an Ethernetbased monitoring system architecture where monitoring software, proprietary automation hardware and open-source equipment share data over an Ethernet network. A set of experimental facilities are reported in order to prove the validity of the proposal.

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