scholarly journals Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance

2021 ◽  
Vol 15 (3) ◽  
pp. 401-409
Author(s):  
Martin Curman ◽  
Davor Kolar ◽  
Dragutin Lisjak ◽  
Tihomir Opetuk
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Information Exchange ◽  
Industrial Internet Of Things ◽  
Collection System ◽  
Automated Data Collection ◽  
Industrial Internet ◽  
Industrial Iot ◽  
Potential Improvement ◽  
Internet Of Things Technology

Maintenance 4.0 is a concept that involves the use of IIoT (Industrial Internet of Things) technology to connect maintenance objects, which enables remote data collection, information exchange, analysis and potential improvement in productivity and efficiency, as well as planning maintenance activities. The purpose of this paper is to present the development of the Industrial Internet of Things data collection system, which relies on Tinkerforge IoT modules, that enables automated data collection alongside control of sensor and data collection parameters. To evaluate the ability of the system, an experiment was conducted where two equipment states were simulated using a rotational equipment failure simulator. The experiment determined that the presented IIoT system had successfully gathered information and that there is a clear distinction in acceleration patterns when simulating two different equipment states.

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 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 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;        

scholarly journals Research on Intelligent Scheduling Mechanism in Edge Network for Industrial Internet of Things

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Zhenzhong Zhang ◽  
Wei Sun ◽  
Yanliang Yu
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Task Scheduling ◽  
Edge Computing ◽  
The Internet ◽  
Computing Technology ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Internet Of Things Technology

With the vigorous development of the Internet of Things, the Internet, cloud computing, and mobile terminals, edge computing has emerged as a new type of Internet of Things technology, which is one of the important components of the Industrial Internet of Things. In the face of large-scale data processing and calculations, traditional cloud computing is facing tremendous pressure, and the demand for new low-latency computing technologies is imminent. As a supplementary expansion of cloud computing technology, mobile edge computing will sink the computing power from the previous cloud to a network edge node. Through the mutual cooperation between computing nodes, the number of nodes that can be calculated is more, the types are more comprehensive, and the computing range is even greater. Broadly, it makes up for the shortcomings of cloud computing technology. Although edge computing technology has many advantages and has certain research and application results, how to allocate a large number of computing tasks and computing resources to computing nodes and how to schedule computing tasks at edge nodes are still challenges for edge computing. In view of the problems encountered by edge computing technology in resource allocation and task scheduling, this paper designs a dynamic task scheduling strategy for edge computing with delay-aware characteristics, which realizes the reasonable utilization of computing resources and is required for edge computing systems. This paper proposes a resource allocation scheme combined with the simulated annealing algorithm, which minimizes the overall performance loss of the system while keeping the system low delay. Finally, it is verified through experiments that the task scheduling and resource allocation methods proposed in this paper can significantly reduce the response delay of the application.

scholarly journals Blockchain Enabled Industrial Internet of Things Technology

2019 ◽  
Vol 6 (6) ◽  
pp. 1442-1453 ◽  
Author(s):  
Shanshan Zhao ◽  
Shancang Li ◽  
Yufeng Yao
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Internet Of Things Technology

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

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.

scholarly journals Complete Automation of an Energy Consumption Reduction Strategy from a Water Treatment and Distribution Facility, Inside an Industrial Internet of Things-Compliant Proactive Historian Application

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2569
Author(s):  
Andrei Nicolae ◽  
Adrian Korodi ◽  
Ioan Silea
Keyword(s):  
Energy Consumption ◽  
Water Treatment ◽  
Internet Of Things ◽  
Information Exchange ◽  
Software Tool ◽  
Industrial Internet Of Things ◽  
External Interference ◽  
Industrial Landscape ◽  
Industrial Internet ◽  
Complete Automation

The Industrial Internet of Things and Industry 4.0 paradigms are steering the industrial landscape towards better connected entities, superior interoperability and information exchange, which lays the basis for developing more intelligent solutions that are already starting to bring numerous benefits. The current research aligns to this course, in an attempt to build an automated and autonomous software tool, capable of reducing the energy consumption of a water treatment and distribution facility, by optimizing the water sources usage. Based on several previous researches, the present paper details both the complete automation of the optimizing strategy inside a proactive historian application and the tests executed with the finished solution. Possessing the abilities to directly influence the monitored system in a non-invasive manner, and to link all the sequences of the algorithm automatically, the solution is now ready for long-term functioning without any external interference.

scholarly journals Design of the Wireless Network Hierarchy System of Intelligent City Industrial Data Management Based on SDN Network Architecture

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenken Tan ◽  
Jianmin Hu
Keyword(s):  
Internet Of Things ◽  
Access Control ◽  
Data Management ◽  
Wireless Network ◽  
Smart City ◽  
Network Architecture ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Industrial Iot ◽  
Intelligent City

With the rapid development of the industrial Internet of Things and the comprehensive popularization of mobile intelligent devices, the construction of smart city and economic development of wireless network demand are increasingly high. SDN has the advantages of control separation, programmable interface, and centralized control logic. Therefore, integrating this technical concept into the smart city data management WLAN network not only can effectively solve the problems existing in the previous wireless network operation but also provide more functions according to different user needs. In this case, the traditional WLAN network is of low cost and is simple to operate, but it cannot guarantee network compatibility and performance. From a practical perspective, further network compatibility and security are a key part of industrial IoT applications. This paper designs the network architecture of smart city industrial IoT based on SDN, summarizes the access control requirements and research status of industrial IoT, and puts forward the access control requirements and objectives of industrial IoT based on SDN. The characteristics of the industrial Internet of Things are regularly associated with data resources. In the framework of SDN industrial Internet of Things, gateway protocol is simplified and topology discovery algorithm is designed. The access control policy is configured on the gateway. The access control rule can be dynamically adjusted in real time. An SDN-based intelligent city industrial Internet of Things access control function test platform was built, and the system was simulated. The proposed method is compared with other methods in terms of extension protocol and channel allocation algorithm. Experimental results verify the feasibility of the proposed scheme. Finally, on the basis of performance analysis, the practical significance of the design of a smart city wireless network hierarchical data management system based on SDN industrial Internet of Things architecture is expounded.

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