scholarly journals Application of the model of fuzzy logic to evaluate the quality of data transfer in networks of the industrial internet of things

2019 ◽  
pp. 29-42
Author(s):  
Camille Mukeshimana ◽  
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Data Transfer ◽  
Industrial Internet Of Things ◽  
Quality Of Data ◽  
Industrial Internet

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.

SEMANTIC PACKET CONVERSION MODEL FOR INDUSTRIAL INTERNET OF THINGS HETEROGENEOUS GATEWAY

2020 ◽  
Author(s):  
В.А. Кулик ◽  
С.А. Вахитов ◽  
Р.В. Киричек
Keyword(s):  
Internet Of Things ◽  
Data Transfer ◽  
Analytical Models ◽  
Industrial Internet Of Things ◽  
Conversion Model ◽  
Protocol Conversion ◽  
Industrial Internet ◽  
Series Of Experiments ◽  
Application Protocols ◽  
Intermediate Format

Рассматриваются вопросы семантического межпротокольного преобразования пакетов, поступающих на гетерогенный шлюз промышленного интернета вещей (ПИВ). Проведены эксперименты по измерению времени обслуживания сетевых пакетов при их приеме и конвертации в промежуточный формат гетерогенного шлюза, а также при обратном преобразовании и дальнейшей отправке из промежуточного формата в выбранный формат пакета. Исследованы следующие протоколы передачи данных: CoAP, MQTT, Modbus TCP, STOMP, OPC UA и HTTP. Получены аналитические модели семантического межпротокольного преобразования, использованные для разработки имитационной модели работы семантического шлюза ПИВ и протестированные на примере преобразований CoAP-MQTT и MQTT-CoAP. В ходе компьютерного моделирования разработанная модель была сопоставлена с моделью, описывающей работу шлюза, выполняющего инкапсуляцию заголовков и полезных данных прикладных протоколов в другие прикладные протоколы. The issues of semantic protocol conversion of incoming packets coming to the heterogeneous gateway of the Industrial Internet of Things are considered. A series of experiments were carried out to measure the processing time of network packets when they were received and converted to the IIoT conversion format on the heterogeneous gateway, as well as when they were converted back and then sent from the intermediate format to the selected packet format. The following data transfer protocols were studied: CoAP, MQTT, Modbus TCP, STOMP, OPC UA, and HTTP. Analytical models of semantic protocol conversion were obtained. These models were used to develop a simulation model of the IIoT semantic gateway, which was tested on the example of CoAP-MQTT and MQTT-CoAP transformations. During computer simulation, the developed model was compared with a model thatdescribes the operation of the gateway that encapsulates the headers and useful data of application protocols in other application protocols.

Evaluation of Data Transfer from PLC to Cloud Platforms-Based Real-Time Monitoring Using the Industrial Internet of Things

2021 ◽  
pp. 331-344
Author(s):  
Luis Chuquimarca ◽  
Alba Asencio ◽  
Washington Torres ◽  
Samuel Bustos ◽  
José Sánchez ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Data Transfer ◽  
Real Time Monitoring ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Evaluation Of Data

scholarly journals An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhen Ying ◽  
Iftikhar Ahmad ◽  
Saima Mateen ◽  
Asad Zia ◽  
Ambreen ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Computational Models ◽  
Process Development ◽  
Research Community ◽  
Future Research ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Wide Range ◽  
Depth Analysis

In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.

scholarly journals Industrial Internet of Things - Control of Industry Simulation Through Different Protocols

2021 ◽  
Vol 2115 (1) ◽  
pp. 012011
Author(s):  
P Surya ◽  
Asuman Suenbuel ◽  
Arockia Selvakumar Arockia Doss
Keyword(s):  
Internet Of Things ◽  
High Speed ◽  
Data Transfer ◽  
Research Work ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
High Speed Data ◽  
Single Data ◽  
Smart Technologies ◽  
Speed Data Transmission

Abstract In past few years there is a great demand for internet of things (IoT), It has become an important part of smart technologies. There have been many researches going-on in internet of things in both academics and industries. IoT using in industries is also known as Industrial Internet of Things (IIoT). Where smart sensors are used along with IoT are used. This research work is done to identify the best protocol for high-speed data transmission with no loss of data to prevent command lag between mobile controller and industry. In this research a soda filling Industry simulation with 3 different plants was controlled through a mobile application through different protocols with 4 different features of data transfer. The time of data sending and receiving from application and ESP32 controller are stored in a log. The speed of data transfer of all different protocols is compared. From the final result, ThingSpeak is an optimum protocol for this application which is 36% faster than HTTP in single data transfer and 39% faster than MQTT in continuous data transfer.

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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