Internet of things (IoT) � Industrial IoT

2020 ◽  
Keyword(s):  
Internet Of Things ◽  
Industrial Iot

scholarly journals TTEthernet Transmission in Software-Defined Distributed Robot Intelligent Control System

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Caibing Liu ◽  
Fang Li ◽  
Guohao Chen ◽  
Xin Huang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Performance Test ◽  
New Technologies ◽  
Simulation Software ◽  
Utilization Rate ◽  
Intelligent Control System ◽  
Time Performance ◽  
Industrial Iot ◽  
Smart Technologies

With the integration of new technologies such as smart technologies and cloud computing in the industrial Internet of Things, the complexity of industrial IoT applications is increasing. Real-time performance and determinism are becoming serious challenges for system implementation in these Internet of Things systems, especially in critical security areas. This paper provides a framework for a software-defined bus-based intelligent robot system and designs scheduling algorithms to make TTEthernet play the role of scheduling in the framework. Through the framework, the non-real-time and uncertainties problem of distributed robotic systems can be solved. Moreover, a fragment strategy was proposed to solve the problem of large delay caused by Rate-Constrained traffic. Experimental results indicate that the improved scheme based on fragmentation strategy proposed in this paper can improve the real-time performance of RC traffic to a certain extent. Besides, this paper made a performance test and comparison experiments of the improved scheme in the simulation software to verify the feasibility of the improved scheme. The result showed that the delay of Rate-Constrained traffic was reduced and the utilization rate of network was improved.

scholarly journals Characteristics and Challenges of the Internet of Things in Entrepreneurship

2020 ◽  
Vol 43 (338) ◽  
pp. 27-34
Author(s):  
Lasma Licite-Kurbe ◽  
Athul Chandramohan
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Health Sector ◽  
The Internet ◽  
Annual Growth Rate ◽  
Privacy And Security ◽  
Compound Annual Growth Rate ◽  
Industrial Iot ◽  
Analysis And Synthesis ◽  
The Internet Of Things

AbstractThe Internet of Things (IoT) is a computing concept that describes the idea of everyday physical objects being connected to the Internet and being able to identify themselves to other devices, and day by day it becomes popular in everyday life as well as in entrepreneurship. The IoT covers broad areas, including manufacturing, the health sector, agriculture, smart cities, security and emergencies among many others. The market for the industrial IoT is estimated to surpass 107 billion euros by 2021 and reach a compound annual growth rate of 7.3% as of 2020. The IoT makes an impact on all industries and provides benefits for various areas of business; however, business may be faced with some risks as well. The research aim is to analyse the benefits and risks of the IoT in entrepreneurship. The descriptive method, analysis and synthesis, the induction and deduction methods were used to achieve the aim. The research has revealed that the IoT can provide several opportunities for business in all fields of operations – marketing, logistics, accounting and human resource management. However, businesses may be faced with some challenges related to privacy and security, processing, analysis and management of data, as well as monitoring and sensing.

Industrial Automation Using Internet of Things

2022 ◽  
pp. 355-383
Author(s):  
Samyak Jain ◽  
K. Chandrasekaran
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Low Cost ◽  
Intelligent Manufacturing ◽  
Industrial Automation ◽  
Industrial Systems ◽  
Industrial Iot ◽  
New Business ◽  
Real Time Computing ◽  
Efficiency And Productivity

This chapter presents a comprehensive view of Industrial Automation using internet of things (IIoT). Advanced Industries are ushering in a new age of physical production backed by the information-based economy. The term Industrie 4.0 refers to the 4th paradigm shift in production, in which intelligent manufacturing technology is interconnected with physical machines. IIoT is basically a convergence of industrial systems with advanced, near-real-time computing and analytics, powered by low cost and low power sensing devices leveraging global internet connectivity. The key benefits of Industrial IoT systems are a) improved operational efficiency and productivity b) reduced maintenance costs c) improved asset utilization, monitoring and maintenance d) development of new business models e) product innovation and f) enhanced safety. Key parameters that impact Industrial Automation are a) Security b) Data Integrity c) Interoperability d) Latency e) Scalability, Reliability, and Availability f) Fault tolerance and Safety, and g) Maintainability, Serviceability, and Programmability.

scholarly journals Special Issue on New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

2019 ◽  
Vol 9 (20) ◽  
pp. 4323 ◽  
Author(s):  
López de Lacalle ◽  
Posada
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Research Community ◽  
Manufacturing Processes ◽  
Special Issue ◽  
Industrial Internet Of Things ◽  
Visual Computing ◽  
Industrial Internet ◽  
Industrial Iot ◽  
New Industry

The new advances of IIOT (Industrial Internet of Things), together with the progress in visual computing technologies, are being addressed by the research community with interesting approaches and results in the Industry 4.0 domain[...]

scholarly journals Blockchains as security-enabler for industrial IoT-applications

2017 ◽  
Vol 11 (3) ◽  
pp. 301-311 ◽  
Author(s):  
Volker Skwarek
Keyword(s):  
Internet Of Things ◽  
Information Transfer ◽  
Production Systems ◽  
Wireless Sensor ◽  
Content Type ◽  
Blockchain Technology ◽  
Industrial Grade ◽  
Industrial Iot ◽  
Security And Reliability ◽  
High Level

Purpose This paper aims to describe a method for Internet-of-Things-devices to achieve industrial grade reliability for information transfer from wireless sensor systems to production systems using blockchain technologies. Design/methodology/approach An increased security and reliability of submitted data within the sensor network could be achieved on an application level. Therefore, a lightweight, high-level communication protocol based on blockchain principles was designed. Findings Blockchain mechanisms can secure the wireless communication of Internet-of-Things-devices in a lightweight and scalable manner. Originality/value The innovation of this research is the successful application of general blockchain mechanisms to increase security of a wireless sensor system without binding to a dedicated blockchain technology.

scholarly journals QoS-Driven Adaptive Trust Service Coordination in the Industrial Internet of Things

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2449
Author(s):  
Jin Qi ◽  
Zian Wang ◽  
Bin Xu ◽  
Mengfei Wu ◽  
Zian Gao ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Search Space ◽  
Gray Wolf ◽  
Service Coordination ◽  
Trust Evaluation ◽  
Industrial Internet Of Things ◽  
Industrial Services ◽  
Coordination Model ◽  
Industrial Internet ◽  
Industrial Iot

The adaptive coordination of trust services can provide highly dependable and personalized solutions for industrial requirements in the service-oriented industrial internet of things (IIoT) architecture to achieve efficient utilization of service resources. Although great progress has been made, trust service coordination still faces challenging problems such as trustless industry service, poor coordination, and quality of service (QoS) personalized demand. In this paper, we propose a QoS-driven and adaptive trust service coordination method to implement Pareto-efficient allocation of limited industrial service resources in the background of the IIoT. First, we established a Pareto-effective and adaptive industrial IoT trust service coordination model and introduced a blockchain-based adaptive trust evaluation mechanism to achieve trust evaluation of industrial services. Then, taking advantage of a large and complex search space for solution efficiency, we introduced and compared multi-objective gray-wolf algorithms with the particle swarm optimization (PSO) and dragonfly algorithms. The experimental results showed that by judging and blacklisting malicious raters quickly and accurately, our model can efficiently realize self-adaptive, personalized, and intelligent trust service coordination under the given constraints, improving not only the response time, but also the success rate in coordination.

scholarly journals On the Use of LoRaWAN for Indoor Industrial IoT Applications

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Michele Luvisotto ◽  
Federico Tramarin ◽  
Lorenzo Vangelista ◽  
Stefano Vitturi
Keyword(s):  
Internet Of Things ◽  
Communication Systems ◽  
Ieee 802.15.4 ◽  
High Reliability ◽  
General Description ◽  
Iot Applications ◽  
Industrial Internet ◽  
Industrial Iot ◽  
Monitoring Applications ◽  
Industrial Monitoring

Low-Power Wide-Area Networks (LPWANs) have recently emerged as appealing communication systems in the context of the Internet of Things (IoT). Particularly, they proved effective in typical IoT applications such as environmental monitoring and smart metering. Such networks, however, have a great potential also in the industrial scenario and, hence, in the context of the Industrial Internet of Things (IIoT), which represents a dramatically growing field of application. In this paper we focus on a specific LPWAN, namely, LoRaWAN, and provide an assessment of its performance for typical IIoT employments such as those represented by indoor industrial monitoring applications. In detail, after a general description of LoRaWAN, we discuss how to set some of its parameters in order to achieve the best performance in the considered industrial scenario. Subsequently we present the outcomes of a performance assessment, based on realistic simulations, aimed at evaluating the behavior of LoRaWAN for industrial monitoring applications. Moreover, the paper proposes a comparison with the IEEE 802.15.4 network protocol, which is often adopted in similar application contexts. The obtained results confirm that LoRaWAN can be considered as a strongly viable opportunity, since it is able to provide high reliability and timeliness, while ensuring very low energy consumption.

scholarly journals Analóg műszerek leolvasása képfeldolgozással

2020 ◽  
Vol 10 (4) ◽  
pp. 26-30
Author(s):  
József Lénárt
Keyword(s):  
Internet Of Things ◽  
Industrial Iot

Napjainkban az Ipar 4.0, IoT (Internet of Things), illetve IIot (Industrial IoT) technológiák elterjedése egyre fontosabb tényező az iparban. A termelés folyamatának minden lépését szenzorok figyelik, a mért értékeket adatbázisokba mentik, így a gyártási folyamat akár menet közben, akár később az archivált adatok alapján kielemezhető. Ezek az adatok fontos információkat tartalmaznak egyrészt a minőségbiztosítási rendszer, másrészt a karbantartás számára. Ezekben a rendszerekben nehézségeket okozhatnak a hagyományos analóg műszerek, melyeknek mért értékei nem állnak rendelkezésre digitális formában. Ha ezek a műszerek, kijelzők nem cserélhetők le digitális – vagy legalább elektronikus kimenetű – változatra, akkor adatgyűjtő rendszerbe illesztésük nehézkes, vagy lehetetlen. Erre mutat be egy lehetséges megoldást ezen cikk.

scholarly journals Visibility of resources and assets in the shipyard through industrial internet of things

2021 ◽  
Vol 11 (2) ◽  
pp. 88-101
Author(s):  
Ibrahim Cil ◽  
Fahri Arisoy ◽  
Hilal Kilinc
Keyword(s):  
Internet Of Things ◽  
Transformation Process ◽  
Digital Transformation ◽  
Sensor Data ◽  
Cyber Physical System ◽  
Industrial Internet Of Things ◽  
Use Of Data ◽  
Industrial Internet ◽  
Industrial Iot ◽  
Other Information

Industrial Internet of Things is becoming one of the fundamental technologies with the potential to be widely used in shipyards as in other industries to increase information visibility. This article aims to analyze how to develop an industrial IoT-enabled system that provides visibility and tracking of assets at SEDEF Shipyard, which is in the digital transformation process. The research made use of data from previous studies and by using content analysis, the findings were discussed. Industrial IoT enables the collection and analysis of data for more informed decisions.  Based on the findings, sensor data in the shipyard are transmitted to the cloud via connected networks. These data are analysed and combined with other information and presented to the stakeholders. Industrial IoT enables this data flow and monitors processes remotely and gives the ability to quickly change plans as needed. Keywords: Shipyard, Industrial Internet of Things, Cyber-Physical System, Visibility, Assets tracking;        

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