Industrial Internet of Things

This chapter focused on the importance and influence of industrial internet of things (IIoT) and the way industries operate around the world and the value added for society by the internet-connected technologies. Industry 4.0 and internet of things (IoT)-enabled systems where communication between products, systems, and machinery are used to improve manufacturing efficiency. Human operators' intervention and interaction is significantly reduced by connecting machines and creating intelligent networks along the entire value chain that can communicate and control each other autonomously. The difference between IoT and IIoT is that where consumer IoT often focuses on convenience for individual consumers, industrial IoT is strongly focused on improving the efficiency, safety, and productivity of operations with a focus on return on investment. The possibilities with IIoT is unlimited, for example, smarter and more efficient factories, greener energy generation, self-regulating buildings that optimize energy consumption, smart cities that can adjust traffic patterns to respond to congestion.

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Dynamic pricing in industrial internet of things: Blockchain application for energy management in smart cities

Journal of Information Security and Applications ◽

10.1016/j.jisa.2020.102615 ◽

2020 ◽

Vol 55 ◽

pp. 102615 ◽

Cited By ~ 2

Author(s):

Hasan Ali Khattak ◽

Komal Tehreem ◽

Ahmad Almogren ◽

Zoobia Ameer ◽

Ikram Ud Din ◽

...

Keyword(s):

Internet Of Things ◽

Energy Management ◽

Dynamic Pricing ◽

Smart Cities ◽

Industrial Internet Of Things ◽

Industrial Internet

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How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?

Advances in Business Information Systems and Analytics - Internet of Things (IoT) Applications for Enterprise Productivity ◽

10.4018/978-1-7998-3175-4.ch005 ◽

2020 ◽

pp. 112-133

Author(s):

Erdinç Koç

Keyword(s):

Internet Of Things ◽

Smart Cities ◽

Detailed Knowledge ◽

Healthcare Industry ◽

Industrial Internet Of Things ◽

Time Consumption ◽

Industrial Internet ◽

Smart Cars ◽

Industrial Part

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.

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Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities

Processes ◽

10.3390/pr8030282 ◽

2020 ◽

Vol 8 (3) ◽

pp. 282 ◽

Cited By ~ 4

Author(s):

Adrian Korodi ◽

Ruben Crisan ◽

Andrei Nicolae ◽

Ioan Silea

Keyword(s):

Drinking Water ◽

Energy Consumption ◽

Internet Of Things ◽

Fog Computing ◽

Industrial Internet Of Things ◽

Non Invasive ◽

Data Accumulation ◽

Industrial Internet ◽

Reduce Energy Consumption ◽

And Control

The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.

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Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant

Sensors ◽

10.3390/s20082175 ◽

2020 ◽

Vol 20 (8) ◽

pp. 2175 ◽

Cited By ~ 2

Author(s):

Wanhao Zhu ◽

Zhidong Wang ◽

Zifan Zhang

Keyword(s):

Internet Of Things ◽

Sewage Treatment ◽

Sewage Treatment Plant ◽

Treatment Plant ◽

Monitoring And Control ◽

Industrial Internet Of Things ◽

Wide Area Monitoring ◽

Industrial Internet ◽

And Control ◽

Area Monitoring

The Industrial Internet of Things (IIoT) is of great significance to the improvement of industrial efficiency and quality, and to reduce industrial costs and resources. However, there are few openly-reported practical project applications based on the IIoT up to now. For legacy automation devices in traditional industry, it is especially challenging to realize the upgrading of industrial automation adopting the IIoT technology with less investment. Based on the practical engineering experience, this paper introduces the automation renovation of a sewage treatment plant. The legacy automation devices are upgraded by the central controller of a STM32 processor (Produced by STMicroelectronics company, located in Geneva, Switzerland), and the WeChatApplet (Developed by Tencent company, located in Shenzhen, China) is used as the extended host computer. A set of remote monitoring and control systems of sewage treatment based on the IIoT is built to realize the wide-area monitoring and control of sewage treatment. The paper describes the field hardware system, wide-area monitoring and control application program, management cloud platform and security technologies in detail. The actual operation results show that the monitoring system has the requirements of high accuracy, good real-time performance, reliable operation and low cost.

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Datenbasierte Handlungsunterstützung durch iIoT/Increased productivity of conventional production processes with industrial Internet of Things

wt Werkstattstechnik online ◽

10.37544/1436-4980-2021-07-08-85 ◽

2021 ◽

Vol 111 (07-08) ◽

pp. 553-558

Author(s):

Matthias Scholer ◽

Mario Roßdeutscher ◽

Benjamin Scheufele

Keyword(s):

Data Collection ◽

Internet Of Things ◽

Value Chain ◽

Industrial Production ◽

Structured Data ◽

Industrial Internet Of Things ◽

Production Processes ◽

Industrial Internet ◽

Conventional Production ◽

Means Of Production

Wenn Mitarbeiter datenbasiert handeln und somit in ihrem täglichen Umfeld dazu lernen können, ergeben sich hohe Potenziale für Produktivitätsverbesserungen entlang der gesamten Wertschöpfungskette in der industriellen Produktion. Dazu muss in einem Produktionsbetrieb eine ganzheitliche Vernetzung und strukturierte Datenerfassung aller relevanten Produktionsmittel erreicht werden. Zu diesem Zweck wird in diesem Beitrag eine Methodik beschrieben, wie konventionelle Maschinen und Anlagen mittels iIoT vernetzt sowie Daten effizient erfasst und anschließend für die Mitarbeiter verfügbar gemacht werden können.   With employees acting in a data-based manner and learning in their daily environment, there is high potential for productivity improvements along the entire value chain in industrial production. To achieve this, a holistic networking and structured data collection of all relevant means of production must be achieved. Therefore, this article describes a methodology for networking conventional machines and plants using iIoT, efficiently recording data, and then making them available to employees.

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Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Sensors ◽

10.3390/s21227707 ◽

2021 ◽

Vol 21 (22) ◽

pp. 7707

Author(s):

Fábio Henrique Cabrini ◽

Filippo Valiante Valiante Filho ◽

Pedro Rito ◽

Albérico Barros Barros Filho ◽

Susana Sargento ◽

...

Keyword(s):

Internet Of Things ◽

Smart Cities ◽

Industrial Internet Of Things ◽

Global Industry ◽

Operating Modes ◽

City Environment ◽

Iot Platform ◽

Industrial Internet ◽

Living Lab ◽

And Performance

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

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A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things

Sensors ◽

10.3390/s22010015 ◽

2021 ◽

Vol 22 (1) ◽

pp. 15

Author(s):

Andreas Ramstad Urke ◽

Øivind Kure ◽

Knut Øvsthus

Keyword(s):

Internet Of Things ◽

Industrial Revolution ◽

Future Research ◽

Traffic Patterns ◽

Industrial Internet Of Things ◽

Historical Trends ◽

Holistic View ◽

Industrial Networks ◽

Industrial Internet ◽

Channel Hopping

Concepts such as Industry 4.0 and Cyber-Physical Systems may bring forward a new industrial revolution. These concepts require extensive connectivity far beyond what is provided by traditional industrial networks. The Industrial Internet of Things (IIoT) bridges this gap by employing wireless connectivity and IP networking. In order for wireless networks to meet the strict requirements of the industrial domain, the Time Slotted Channel Hopping (TSCH) MAC is often employed. The properties of a TSCH network are defined by the schedule, which dictates transmission opportunities for all nodes. We survey the literature for these schedulers, describe and organize them according to their operation: Centralized, Collaborative, Autonomous, Hybrid, and Static. For each category and the field as a whole, we provide a holistic view and describe historical trends, highlight key developments, and identify trends, such as the attention towards autonomous mechanisms. Each of the 76 schedulers is analyzed into their common components to allow for comparison between schedulers and a deeper understanding of functionality and key properties. This reveals trends such as increasing complexity and the utilization of centralized principles in several collaborative schedulers. Further, each scheduler is evaluated qualitatively to identify its objectives. Altogether this allows us to point out challenges in existing work and identify areas for future research, including fault tolerance, scalability, non-convergecast traffic patterns, and hybrid scheduling strategies.

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MACHINE TO MACHINE PROTOCOLS IN INDUSTRIAL INTERNET OF THINGS

Высокие технологии и инновации в науке: сборник избранных статей Международной научной конференции (Санкт-Петербург, Ноябрь 2020). ◽

10.37539/vt188.2020.37.97.021 ◽

2020 ◽

Author(s):

Сергей Николаевич Рудник ◽

Артем Иванович Смирнов ◽

Кристина Васильевна Матрохина

Keyword(s):

Internet Of Things ◽

Smart Grid ◽

Distributed Generation ◽

Demand Response ◽

Industrial Internet Of Things ◽

Machine To Machine ◽

Industrial Internet ◽

Substation Automation ◽

And Control

В статье рассматриваются наиболее часто используемые стандарты и протоколы интеллектуальных сетей для приложений, начиная от предприятий и центров управления до глобального мониторинга, автоматизации подстанций, распределенной генерации, реагирования на спрос, измерения. This article discusses the most commonly used smart grid standards and protocols for applications ranging from enterprises and control centers to global monitoring, substation automation, distributed generation, demand response, metering.

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