Smart Gateways for IOT-Factory Integration

2019 ◽  
pp. 149-170
Author(s):  
Eva Masero Rubio ◽  
Pedro Miguel Baptista Torres ◽  
Rogério Pais Dionísio
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Industrial Revolution ◽  
Shop Floor ◽  
Industrial Equipment ◽  
Financial Strength ◽  
Industrial Internet ◽  
Communication Devices

This book chapter proposes a description of smart gateways and cyber-physical systems (CPS) for the industrial internet of things (I-IOT). It also presents a case study where a smart gateway is developed to be used in different types of industrial equipment for the shop floor. The case study is developed under the specifications of different industries in the region of Castelo Branco. It is a proof that the 4th industrial revolution will be the engine for SME innovation, independence of the regions and their financial strength. It is also proof that the cooperation between universities, industries and startups can evolve to break barriers and add value in the improvement of regional industries competitiveness. Topics that will be addressed on the chapter can be used for developers, students, researchers and enthusiasts to learn topics related to I-IOT, such as data acquisitions systems, wired and wireless communication devices and protocols, OPC servers and LabVIEW programming.

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

A case study: How did IoT start-up Distronix change its business model to sustain growth in the pay-per-use economy

2021 ◽  
pp. 204388692098158
Author(s):  
Dipankar Chakrabarti ◽  
Rohit Kumar ◽  
Soumya Sarkar ◽  
Arindam Mukherjee
Keyword(s):  
Internet Of Things ◽  
Business Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Project Delivery ◽  
Public Cloud ◽  
Industrial Internet Of Things ◽  
Start Up ◽  
Industrial Internet ◽  
Fixed Fee

Industrial Internet of Things emerged as one of the major technologies enabling Industry 4.0 for industries. Multiple start-ups started working in the Industrial Internet of Things field to support this new industrial revolution. Distronix, one such Industrial Internet of Things start-up of India, started operations in 2014, when companies were not even aware of Industrial Internet of Things. Distronix started executing fixed-fee projects for implementation of Industrial Internet of Things. They also started manufacturing sensors to support large customers end-to-end in their Industry 4.0 journey. With the advent of public cloud, companies started demanding pay-per-use model for the solution Distronix provided. This posed a major challenge to Distronix as they had developed technology skills focusing fixed-fee customized project delivery for their clients. The situation demanded that they change their business model from individual project delivery to creation of product sand-box with pre-registered sensors and pre-defined visualization layer to support use cases for Industrial Internet of Things implementation in multiple industry sectors. It forced Rohit Sarkar, the 26 years old entrepreneur and owner of Distronix, to upgrade capabilities of his employees and transform the business model to support pay-per-use economy popularized by public cloud providers. The case discusses the challenges Rohit faced to revamp their business model in such an emerging technology field, like, to develop new skills of the technical people to support such novel initiative, reorienting sales people towards pay as use model, developing new concept of plug and play modular product, devising innovative pricing, better alliance strategy and finding out a super early adopter.

The Cyber-Physical Disruption

2020 ◽  
pp. 25-56
Author(s):  
Laura DeNardis
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Smart Cities ◽  
Physical World ◽  
The Body ◽  
Cyberphysical Systems ◽  
Medical Monitoring ◽  
Everyday Objects ◽  
Industrial Internet ◽  
Technological Affordances

This chapter examines four emerging areas of technological innovation in which digital technologies are becoming embedded into the physical world. The digitization of everyday objects includes consumer Internet of things and connected objects in smart cities. The Internet of self encompasses cyberphysical systems entangled with the body, such as wearable technologies, implantable chips, biometric identification devices, and digital medical monitoring and delivery systems. The industrial Internet of things, sometimes called the “fourth industrial revolution,” involves restructurings of industries and labor around cyber-physical systems. Finally, emergent embedded systems include those embedded objects that are born digital, such as robotics, 3D printing, and arguably augmented reality systems. Understanding these heterogeneous technical architectures, and the technological affordances and characteristics they all share, is necessary for understanding emerging governance debates.

scholarly journals Scalable Fog Computing Orchestration for Reliable Cloud Task Scheduling

2021 ◽  
Vol 11 (22) ◽  
pp. 10996
Author(s):  
Jongbeom Lim
Keyword(s):  
Internet Of Things ◽  
Task Scheduling ◽  
Industrial Revolution ◽  
Virtual Machines ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Virtualization Technology ◽  
Computing Environments ◽  
One Machine

As Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices are becoming increasingly popular in the era of the Fourth Industrial Revolution, the orchestration and management of numerous fog devices encounter a scalability problem. In fog computing environments, to embrace various types of computation, cloud virtualization technology is widely used. With virtualization technology, IoT and IIoT tasks can be run on virtual machines or containers, which are able to migrate from one machine to another. However, efficient and scalable orchestration of migrations for mobile users and devices in fog computing environments is not an easy task. Naïve or unmanaged migrations may impinge on the reliability of cloud tasks. In this paper, we propose a scalable fog computing orchestration mechanism for reliable cloud task scheduling. The proposed scalable orchestration mechanism considers live migrations of virtual machines and containers for the edge servers to reduce both cloud task failures and suspended time when a device is disconnected due to mobility. The performance evaluation shows that our proposed fog computing orchestration is scalable while preserving the reliability of cloud tasks.

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

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.

scholarly journals New Developments in Cyber Physical Systems, the Internet of Things and the Digital Economy – Discussion on Future Developments in the Industrial Internet of Things and Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cyber Physical Systems ◽  
Digital Economy ◽  
Industrial Internet Of Things ◽  
New Developments ◽  
Physical Systems ◽  
Fourth Industrial Revolution ◽  
Industrial Internet

The world is currently experiencing the fourth industrial revolution driven by the newest wave of digitisation in the manufacturing sector. The term Industry 4.0 (I4.0) represents at the same time: a paradigm shift in industrial production, a generic designation for sets of strategic initiatives to boost national industries, a technical term to relate to new emerging business assets, processes and services, and a brand to mark a very particular historical and social period. I4.0 is also referred to as Industrie 4.0 the New Industrial France, the Industrial Internet, the Fourth Industrial Revolution and the digital economy. These terms are used interchangeably in this text. The aim of this article is to discuss major developments in this space in relation to the integration of new developments of IoT and cyber physical systems in the digital economy, to better understand cyber risks and economic value and risk impact. The objective of the paper is to map the current evolution and its associated cyber risks for the digital economy sector and to discuss the future developments in the Industrial Internet of Things and Industry 4.0.

scholarly journals Hybrid Reality in the Internet of Things as an Environment for Transferring Knowledge

2020 ◽  
Author(s):  
Tomasz Woźniakowski ◽  
Arkadiusz Orłowski
Keyword(s):  
Internet Of Things ◽  
High Probability ◽  
The Internet ◽  
Industrial Equipment ◽  
Mathematical Formula ◽  
System Method ◽  
Knowledge Objects ◽  
Favourable Environment ◽  
The Internet Of Things

The paper presents features and applications of hybrid reality technology and the Internet of Things. The analysed thesis states that such a solution is a favourable environment for the dissemination of knowledge through the concept of interaction of objects of postulated environment with the theoretical model of knowledge objects. The article discusses an initial version of the potential information system method. The method, in the form of a mathematical formula, makes it possible to evaluate objects in the postulated space. The article presents the case study implementing a similar environment in the service of advanced industrial equipment. The results of the analysis indicate a high potential of the postulated solution, which requires further refinement and research. At the same time, the practice of the implementation case points to technological and organisational threats which should be neutralised to ensure a high probability of the project’s success.

scholarly journals Enforcing Behavioral Profiles through Software-Defined Networks in the Industrial Internet of Things

2019 ◽  
Vol 9 (21) ◽  
pp. 4576 ◽  
Author(s):  
Sara Nieves Matheu García ◽  
Alejandro Molina Zarca ◽  
José Luis Hernández-Ramos ◽  
Jorge Bernal Bernabé ◽  
Antonio Skarmeta Gómez
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Software Defined Network ◽  
Industrial Internet Of Things ◽  
Fourth Industrial Revolution ◽  
Industrial Ecosystem ◽  
Development Lifecycle ◽  
Industrial Internet ◽  
Attack Surface ◽  
Intended Use

The fourth industrial revolution is being mainly driven by the integration of Internet of Things (IoT) technologies to support the development lifecycle of systems and products. Despite the well-known advantages for the industry, an increasingly pervasive industrial ecosystem could make such devices an attractive target for potential attackers. Recently, the Manufacturer Usage Description (MUD) standard enables manufacturers to specify the intended use of their devices, thereby restricting the attack surface of a certain system. In this direction, we propose a mechanism to manage securely the obtaining and enforcement of MUD policies through the use of a Software-Defined Network (SDN) architecture. We analyze the applicability and advantages of the use of MUD in industrial environments based on our proposed solution, and provide an exhaustive performance evaluation of the required processes.

Design of industrial internet of things system based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-11
Author(s):  
Xu Kun ◽  
Zhiliang Wang ◽  
Ziang Zhou ◽  
Wang Qi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Industrial Equipment ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Test Platform ◽  
Artificial Intelligence Technology

For industrial production, the traditional manual on-site monitoring method is far from meeting production needs, so it is imperative to establish a remote monitoring system for equipment. Based on machine learning algorithms, this paper combines artificial intelligence technology and Internet of Things technology to build an efficient, fast, and accurate industrial equipment monitoring system. Moreover, in view of the characteristics of the diverse types of equipment, scattered layout, and many parameters in the manufacturing equipment as well as the complexity of the high temperature, high pressure, and chemical environment in which the equipment is located, this study designs and implements a remote monitoring and data analysis system for industrial equipment based on the Internet of Things. In addition, based on the application scenarios of the actual aeronautical weather floating platform test platform, this study combines the platform prototype system to design and implement a set of strong real-time communication test platform based on the Windows operating system. The test results show that the industrial Internet of Things system based on machine learning and artificial intelligence technology constructed in this paper has certain practicality.

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