RISC32‐E: Field programmable gate array based sensor node with queue system to support fast encryption in Industrial Internet of Things applications

2020 ◽  
Vol 48 (8) ◽  
pp. 1209-1226
Author(s):  
Jin‐Chuan See ◽  
Kai‐Ming Mok ◽  
Wai‐Kong Lee ◽  
Hock‐Guan Goh
Keyword(s):  
Internet Of Things ◽  
Field Programmable Gate Array ◽  
Sensor Node ◽  
Industrial Internet Of Things ◽  
Queue System ◽  
Industrial Internet ◽  
Field Programmable ◽  
Gate Array

scholarly journals A reconfigurable smart interface based on IEEE 1451 and field programmable gate array for multiple Internet of Things devices

2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769384
Author(s):  
Shulong Wang ◽  
Yibin Hou ◽  
Fang Gao ◽  
Xinrong Ji
Keyword(s):  
Internet Of Things ◽  
Field Programmable Gate Array ◽  
The Internet ◽  
Sensors And Actuators ◽  
Field Programmable ◽  
Transducer Design ◽  
Ieee 1451 ◽  
Gate Array ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things is becoming increasingly important in traffic, medical treatment, and other industry fields. With the development of the Internet of Things technology, lots of new “things” need to be accessed to the Internet of Things. Currently, Internet of Things applications adopt multiple methods to access the heterogeneous devices. How to provide unified access means for those “things” is a fundamental issue. To solve this problem, a new method is proposed in this article to design a reconfigurable smart interface for multiple Internet of Things devices. The IEEE 1451 standard is adopted for this design, and it comprehensively specifies the smart transducer design and relevant interface protocol to implement the intelligent acquisition for common sensors and actuators. Field programmable gate array is adopted for the implementation of this design to reduce consumption of resources and enable the reconfiguration of the whole system. Performance of the proposed system is evaluated, and good performance is achieved in practical application for office environment monitoring.

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

Future Field Programmable Gate Array (FPGA) Design Methodologies and Tool Flows

2008 ◽  
Author(s):  
Michael Wirthlin ◽  
Brent Nelson ◽  
Brad Hutchings ◽  
Peter Athanas ◽  
Shawn Bohner
Keyword(s):  
Field Programmable Gate Array ◽  
Fpga Design ◽  
Design Methodologies ◽  
Field Programmable ◽  
Gate Array
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