scholarly journals An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things

2018 ◽  
Vol 79 ◽  
pp. 815-829 ◽  
Author(s):  
Sarogini Grace Pease ◽  
Russell Trueman ◽  
Callum Davies ◽  
Jude Grosberg ◽  
Kai Hin Yau ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Future ◽  
Process Prediction

scholarly journals Software Architecture of a Fog Computing Node for Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3715
Author(s):  
Ioan Ungurean ◽  
Nicoleta Cristina Gaitan
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Development Process ◽  
Fog Computing ◽  
Low Latency ◽  
Practical Implementation ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Starting Point ◽  
Hard Real Time

In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC.

Towards Implementing a Collaborative Manufacturing Cloud Platform: Experimenting Testbeds Aiming Asset Efficiency

2020 ◽  
Author(s):  
Nuno Santos ◽  
Paula Monteiro ◽  
Francisco Morais ◽  
Jaime Pereira ◽  
Daniel Dias ◽  
...  
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Proof Of Concept ◽  
Cloud Platform ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Collaborative Manufacturing ◽  
Manufacturing Operations ◽  
Industrial Internet ◽  
The Future

Abstract Developing Industrial Internet of Things (IIoT) systems requires addressing challenges that range from acquiring data at the level of the shopfloor, integrated at the edge level and managing it at the cloud level. Managing manufacturing operations at the cloud level arose the opportunity for extending decisions to entities of the supply chain in a collaborative way. Not only it has arisen many challenges due to several interoperability needs; but also in properly defining an effective way to take advantage of the available data, leading to Industrial Digital Thread (IDT) and Asset Efficiency (AE) implementing. This paper discusses implementation concerns for a collaborative manufacturing environment in an IIoT system in order to monitor equipment’s AE. Each concern was addressed in a separate proof of concept testbed. The demonstration is based in a project for the IIoT domain called PRODUTECH-SIF (Solutions for the Industry of the Future).

Improving the management of geographically distributed IB system using industrial technology Internet of things

2020 ◽  
pp. 143-149
Author(s):  
А.И. Сухотерин
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Industrial Internet Of Things ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Distributed Security ◽  
Industrial Internet ◽  
Is Management ◽  
Geographically Distributed ◽  
Key Indicators

В статье рассматривается проблемы управления ИБ на территориально-распределённых объектах защиты. Во избежание простоев и для сохранения безопасности на предприятии необходимо внедрение технологий, позволяющих обнаруживать и прогнозировать риски. Предлагается с помощью промышленного интернета-вещей обеспечить непрерывный интеллектуальный мониторинг ключевых показателей, что дает возможность определить проблему и принять необходимые меры для ее решения. Оперативный в режиме реального времени анализ поможет специалисту ИБ быстрее находить уязвимые места и предотвратить несанкционированные действия на предприятии. This article discusses the problems of is management on geographically distributed security objects. In order to avoid downtime and to maintain security at the enterprise, it is necessary to introduce technologies that allow detecting and predicting risks. It is proposed to use the industrial Internet of things to provide continuous intellectual monitoring of key indicators, which makes it possible to identify the problem and take the necessary measures to solve it. Real-time real-time analysis will help the IB specialist find vulnerabilities faster and prevent unauthorized actions in the enterprise .

Blockchain for Industrial Internet of Things (IIoT)

2021 ◽  
pp. 32-47
Author(s):  
Rinki Sharma
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Manufacturing Process ◽  
Industrial Internet Of Things ◽  
Research Issues ◽  
Effective Implementation ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
Manufacturing Applications ◽  
Decentralized Architecture

Over the years, the industrial and manufacturing applications have become highly connected and automated. The incorporation of interconnected smart sensors, actuators, instruments, and other devices helps in establishing higher reliability and efficiency in the industrial and manufacturing process. This has given rise to the industrial internet of things (IIoT). Since IIoT components are scattered all over the network, real-time authenticity of the IIoT activities becomes essential. Blockchain technology is being considered by the researchers as the decentralized architecture to securely process the IIoT transactions. However, there are challenges involved in effective implementation of blockchain in IIoT. This chapter presents the importance of blockchain in IIoT paradigm, its role in different IIoT applications, challenges involved, possible solutions to overcome the challenges and open research issues.

scholarly journals IoTactileSim: A Virtual Testbed for Tactile Industrial Internet of Things Services

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8363
Author(s):  
Muhammad Zubair Islam ◽  
Shahzad ◽  
Rashid Ali ◽  
Amir Haider ◽  
Hyungseok Kim
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
High Reliability ◽  
Industrial Sector ◽  
Industrial Internet Of Things ◽  
Physical Environments ◽  
Industrial Internet ◽  
Virtual Testbed ◽  
Robotic Simulator

With the inclusion of tactile Internet (TI) in the industrial sector, we are at the doorstep of the tactile Industrial Internet of Things (IIoT). This provides the ability for the human operator to control and manipulate remote industrial environments in real-time. The TI use cases in IIoT demand a communication network, including ultra-low latency, ultra-high reliability, availability, and security. Additionally, the lack of the tactile IIoT testbed has made it more severe to investigate and improve the quality of services (QoS) for tactile IIoT applications. In this work, we propose a virtual testbed called IoTactileSim, that offers implementation, investigation, and management for QoS provisioning in tactile IIoT services. IoTactileSim utilizes a network emulator Mininet and robotic simulator CoppeliaSim to perform real-time haptic teleoperations in virtual and physical environments. It provides the real-time monitoring of the implemented technology parametric values, network impairments (delay, packet loss), and data flow between operator (master domain) and teleoperator (slave domain). Finally, we investigate the results of two tactile IIoT environments to prove the potential of the proposed IoTactileSim testbed.

scholarly journals Toward Reliable Fog Computing Architecture for Industrial Internet of Things

2019 ◽  
Author(s):  
Muhammad Rusyadi Ramli ◽  
Sanjay Bhardwaj ◽  
Dong-Seong Kim
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fog Computing ◽  
Model Analysis ◽  
Industrial Internet Of Things ◽  
Reliable System ◽  
Computing Architecture ◽  
Industrial Networks ◽  
Industrial Internet

Reliability is essential in industrial networks. In addition, most of the data from nodes of industrial Internet of Things (IIoT) are generated in real time. Thus, those data are mainly used for the time-sensitive applications. Furthermore, device failures should be considered when modeling reliable fog computing for IIoT. In this paper, we provide fundamental aspects to model reliable fog computing for IIoT. First, existing models of fog computing are compared. Then, the most feasible communication type to achieve a reliable system is determined from model analysis. Interaction modes are elaborated to study the advantages and drawbacks when communication is deployed in fog computing for IIoT, and challenges and solutions for reliable fog computing are discussed.

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