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 Application of Internet of Things in Industry 4.0

2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov
Keyword(s):  
Internet Of Things ◽  
Industrial Production ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Industrial Enterprises ◽  
Industrial Internet ◽  
The Internet Of Things

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.

Industrial Internet of Things

2021 ◽  
pp. 133-148
Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj ◽  
Safiya Shameeza Nur ◽  
Shonal S. Kumar ◽  
Rajneet Harish
Keyword(s):  
Internet Of Things ◽  
Value Chain ◽  
Smart Cities ◽  
Value Added ◽  
Traffic Patterns ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Difference ◽  
Human Operators ◽  
And Control

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.

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.

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.

MONITORING AND PREDICTIVE ANALYTICS OF TECHNOLOGICAL EQUIPMENT ON THE BASED OF INDUSTRIAL INTERNET OF THINGS

2020 ◽  
pp. 7-12
Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Predictive Analytics ◽  
Actual State ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Machining Time ◽  
Industrial Internet ◽  
Acquisition Device ◽  
Data Acquisition Device

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage

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