202 research outputs found
Smart industrial IoT monitoring and control system based on UAV and cloud computing applied to a concrete plant
Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing techniques for gathering data over large areas. They are now being used in the industry sector as sensing tools for proactively solving or preventing many issues, besides quantifying production and helping to make decisions. UAVs are a highly consistent technological platform for efficient and cost-effective data collection and event monitoring. The industrial Internet of things (IIoT) sends data from systems that monitor and control the physical world to data processing systems that cloud computing has shown to be important tools for meeting processing requirements. In fog computing, the IoT gateway links different objects to the internet. It can operate as a joint interface for different networks and support different communication protocols. A great deal of effort has been put into developing UAVs and multi-UAV systems. This paper introduces a smart IIoT monitoring and control system based on an unmanned aerial vehicle that uses cloud computing services and exploits fog computing as the bridge between IIoT layers. Its novelty lies in the fact that the UAV is automatically integrated into an industrial control system through an IoT gateway platform, while UAV photos are systematically and instantly computed and analyzed in the cloud. Visual supervision of the plant by drones and cloud services is integrated in real-time into the control loop of the industrial control system. As a proof of concept, the platform was used in a case study in an industrial concrete plant. The results obtained clearly illustrate the feasibility of the proposed platform in providing a reliable and efficient system for UAV remote control to improve product quality and reduce waste. For this, we studied the communication latency between the different IIoT layers in different IoT gateways.The authors would like to thank the Seneca Foundation as also FRUMECAR S.L., for their support and the opportunity to implement and test the proposed approach on their facilities.
This work was partially supported by FRUMECAR S.L. and Seneca Foundation's "Murcia Regional Scientific Excellence Research Program" (Murcia Science and Technology Agency-19895/GERM/15)
An End-to-End Big Data Analytics Platform for IoT-enabled Smart Factories: A Case Study of Battery Module Assembly System for Electric Vehicles
Within the concept of factories of the future, big data analytics systems play a critical role in supporting decision-making at various stages across enterprise processes. However, the design and deployment of industry-ready, lightweight, modular, flexible, and low-cost big data analytics solutions remains one of the main challenges towards the Industry 4.0 enabled digital transformation. This paper presents an end-to-end IoT-based big data analytics platform that consists of five interconnected layers and several components for data acquisition, integration, storage, analytics and visualisation purposes. The platform architecture benefits from state-of-the-art technologies and integrates them in a systematic and interoperable way with clear information flows. The developed platform has been deployed in an Electric Vehicle (EV) battery module smart assembly automation system designed by the Automation Systems Group (ASG) at the University of Warwick, UK. The developed proof-of-concept solution demonstrates how a wide variety of tools and methods can be orchestrated to work together aiming to support decision-making and to improve both process and product qualities in smart manufacturing environments
Digital twin of experimental smart manufacturing assembly system for Industry 4.0 concept
This article deals with the creation of a digital twin for an experimental assembly system based on a belt conveyor system and an automatized line for quality production check. The point of interest is a Bowden holder assembly from a 3D printer, which consists of a stepper motor, plastic components, and some fastener parts. The assembly was positioned in a fixture with ultra high frequency (UHF) tags and internet of things (IoT) devices for identification of status and position. The main task was parts identification and inspection, with the synchronization of all data to a digital twin model. The inspection system consisted of an industrial vision system for dimension, part presence, and errors check before and after assembly operation. A digital twin is realized as a 3D model, created in CAD design software (CDS) and imported to a Tecnomatix platform to simulate all processes. Data from the assembly system were collected by a programmable logic controller (PLC) system and were synchronized by an open platform communications (OPC) server to a digital twin model and a cloud platform (CP). Digital twins can visualize the real status of a manufacturing system as 3D simulation with real time actualization. Cloud platforms are used for data mining and knowledge representation in timeline graphs, with some alarms and automatized protocol generation. Virtual digital twins can be used for online optimization of an assembly process without the necessity to stop that is involved in a production line. © 2020 by the authors.European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-CurieEuropean Union (EU) [734713]; Ministry of Industry and Trade of the Czech Republic [FV20419]; Ministry of Education of the Slovak Republic [VEGA 1/0700/20, 055TUKE-4/2020
Industry 4.0: Industrial IoT Enhancement and WSN Performance Analysis
L'abstract è presente nell'allegato / the abstract is in the attachmen
Demystifying Internet of Things Security
Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This open access book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth. The IoT presents unique challenges in implementing security and Intel has both CPU and Isolated Security Engine capabilities to simplify it. This book explores the challenges to secure these devices to make them immune to different threats originating from within and outside the network. The requirements and robustness rules to protect the assets vary greatly and there is no single blanket solution approach to implement security. Demystifying Internet of Things Security provides clarity to industry professionals and provides and overview of different security solutions What You'll Learn Secure devices, immunizing them against different threats originating from inside and outside the network Gather an overview of the different security building blocks available in Intel Architecture (IA) based IoT platforms Understand the threat pyramid, secure boot, chain of trust, and the software stack leading up to defense-in-depth Who This Book Is For Strategists, developers, architects, and managers in the embedded and Internet of Things (IoT) space trying to understand and implement the security in the IoT devices/platforms
A Framework for Industry 4.0
The potential of the Industry 4.0 will allow the national industry to develop all kinds of
procedures, especially in terms of competitive differentiation. The prospects and motivations
behind Industry 4.0 are related to the management that is essentially geared towards industrial
internet, to the integrated analysis and use of data, to the digitalization of products and services,
to new disruptive business models and to the cooperation within the value chain. It is through
the integration of Cyber-Physical Systems (CPS), into the maintenance process that it is
possible to carry out a continuous monitoring of industrial machines, as well as to apply
advanced techniques for predictive and proactive maintenance.
The present work is based on the MANTIS project, aiming to construct a specific
platform for the proactive maintenance of industrial machines, targeting particularly the case
of GreenBender ADIRA Steel Sheet. In other words, the aim is to reduce maintenance costs,
increase the efficiency of the process and consequently the profit. Essentially, the MANTIS
project is a multinational research project, where the CISTER Research Unit plays a key role,
particularly in providing the communications infrastructure for one MANTIS Pilot.
The methodology is based on a follow-up study, which is jointly carried with the client,
as well as within the scope of the implementation of the ADIRA Pilot. The macro phases that
are followed in the present work are: 1) detailed analysis of the business needs; 2) preparation
of the architecture specification; 3) implementation/development; 4) tests and validation; 5)
support; 6) stabilization; 7) corrective and evolutionary maintenance; and 8) final project
analysis and corrective measures to be applied in future projects.
The expected results of the development of such project are related to the integration of
the industrial maintenance process, to the continuous monitoring of the machines and to the
application of advanced techniques of preventive and proactive maintenance of industrial
machines, particularly based on techniques and good practices of the Software Engineering area
and on the integration of Cyber-Physical Systems.O potencial desenvolvido pela Indústria 4.0 dotará a indústria nacional de capacidades
para desenvolver todo o tipo de procedimentos, especialmente a nível da diferenciação
competitiva. As perspetivas e as motivações por detrás da Indústria 4.0 estão relacionadas com
uma gestão essencialmente direcionada para a internet industrial, com uma análise integrada e
utilização de dados, com a digitalização de produtos e de serviços, com novos modelos
disruptivos de negócio e com uma cooperação horizontal no âmbito da cadeia de valor. É
através da integração dos sistemas ciber-físicos no processo de manutenção que é possível
proceder a um monitoramento contínuo das máquinas, tal como à aplicação de técnicas
avançadas para a manutenção preditiva e pró-ativa das mesmas.
O presente trabalho é baseado no projeto MANTIS, objetivando, portanto, a construção
de uma plataforma específica para a manutenção pró-ativa das máquinas industriais, neste caso
em concreto das prensas, que serão as máquinas industriais analisadas ao longo do presente
trabalho. Dito de um outro modo, objetiva-se, através de uma plataforma em específico, reduzir
todos os custos da sua manutenção, aumentando, portanto, os lucros industriais advindos da
produção. Resumidamente, o projeto MANTIS consiste num projeto de investigação
multinacional, onde a Unidade de Investigação CISTER desenvolve um papel fundamental,
particularmente no fornecimento da infraestrutura de comunicação no Piloto MANTIS.
A metodologia adotada é baseada num estudo de acompanhamento, realizado em
conjunto com o cliente, e no âmbito da implementação do Piloto da ADIRA. As macro fases
que são compreendidas por esta metodologia, e as quais serão seguidas, são: 1) análise
detalhada das necessidades de negócio; 2) preparação da especificação da arquitetura; 3)
implementação/desenvolvimento; 4) testes e validação; 5) suporte; 6) estabilização; 7)
manutenção corretiva e evolutiva; e 8) análise final do projeto e medidas corretivas a aplicar
em projetos futuros.
Os resultados esperados com o desenvolvimento do projeto estão relacionados com a
integração do processo de manutenção industrial, a monitorização contínua das máquinas e a
aplicação de técnicas avançadas de manutenção preventiva e pós-ativa das máquinas,
especialmente com base em técnicas e boas práticas da área de Engenharia de Software
Desenvolvimento de um sistema de gestão técnica centralizado
A building management system has user confort and comodity, as well as
reduction of energy consumption, as its main goals. To accomplish this, it is
necessary to integrate sensors and actuators as to control and retrieve information
about the physical processes of a building. These processes include
control over illumination and temperature of a room, and even access control.
The information, after processed, allows a more intelligent and efficient way
of controlling electronic and mechanical systems of a building, such as HVAC
and illumination, while also trying to reduce energy expenditure. The emergence
of IoT allowed to increment the number of low level devices on these
systems, thanks to their cost reduction, increased performance and improved
connectivity. To better make use of the new paradigm, it is required a modern
system with multi-protocol capabilities, as well as tools for data processing and
presentation. Therefore, the most relevant industrial and building automation
technologies were studied, as to define a modern, IoT compatible, architecture
and choose its constituting software platforms. InfluxDB, EdgeX Foundry
and Node-Red were the selected technologies for the database, gateway and
dashboard, respectively, as they closely align with the requirements set. This
way, a demonstrator was developed in order to assess a systems’s operation,
using these technologies, as well as to evaluate EdgeX’s performance for jitter
and latency. From the obtained results, it was verified that, although versatile
and complete, this platform underperforms for real-time applications and high
reading rate workloads.Um Sistema de Gestão Centralizado tem por objetivo aumentar a comodidade
e conforto dos utilizadores de um edifício, ao mesmo tempo que tenta
reduzir os consumos energéticos do mesmo. Para isso, torna-se necessário
integrar sensores e atuadores para controlar e recolher informação acerca
dos processos físicos existentes. Nestes processos estão incluídos a iluminação
e temperatura de, por exemplo, uma sala, ou até controlo de acesso.
Esta informação, após processamento, permite, de uma maneira mais inteligente
e eficiente, controlar os sistemas eletrónicos e mecânicos de um
edifício, tais como os sistemas de AVAC ou iluminação, tentando, simultaneamente,
diminuir gastos energéticos. O aparecimento do IoT, tornou possível o
aumento do número de dispositivos de baixo nível nestes sistemas, graças à
redução de custo e aumento de performance e conectividade que estes têm
sofrido. Para melhor usufruir deste paradigma, é necessário um sistema moderno,
com capacidade de conexão multi-protocolo e ferramentas para processamento
e apresentação de informação. Neste sentido, fez-se um estudo das
tecnologias mais relevantes da área da automação industrial e de edifícios,
de modo a definir uma arquitetura moderna compatível com IoT e a escolher
as plataformas de software que a constituem. InfluxDB, EdgeX Foundry e
Node-Red foram as tecnologias escolhidas para a base de dados, gateway
e dashboard, respetivamente, por serem as que mais se aproximaram dos
requisitos definidos. Assim, foi desenvolvido um demonstrador que permitiu
verificar o funcionamento de um sistema com a utilização destas tecnologias,
assim como avaliar a performance da plataforma EdgeX em termos de jitter
e latência. Verificou-se a partir dos resultados obtidos, que embora versátil e
completa, esta plataforma ficou aquém do que se pretendia, tanto para aplicações
real-time, como para as que necessitem de uma taxa de leitura de
sensores elevada.Mestrado em Engenharia Eletrónica e Telecomunicaçõe
An end-to-end big data analytics platform for IoT-enabled smart factories : a case study of battery module assembly system for electric vehicles
Within the concept of factories of the future, big data analytics systems play a critical role in supporting decision-making at various stages across enterprise processes. However, the design and deployment of industry-ready, lightweight, modular, flexible, and cost efficient big data analytics solutions remains one of the main challenges towards the Industry 4.0 enabled digital transformation. This paper presents an end-to-end IoT-based big data analytics platform that consists of five interconnected layers and several components for data acquisition, integration, storage, analytics and visualisation purposes. The platform architecture benefits from state-of-the-art technologies and integrates them in a systematic and interoperable way with clear information flows. The developed platform has been deployed in an electric vehicle battery module assembly automation system designed by the Automation Systems Group at the University of Warwick, the UK. The developed proof-of-concept solution demonstrates how a wide variety of tools and methods can be orchestrated to work together aiming to support decision-making and to improve both process and product qualities in smart manufacturing environments
Anturidatan lähettäminen fyysiseltä kaksoselta digitaaliselle kaksoselle
A digital twin is a digital counterpart of a physical thing such as a machine. The term digital twin was first introduced in 2010. Thereafter, it has received an extensive amount of interest because of the numerous benefits it is expected to offer throughout the product life cycle. Currently, the concept is developed by the world’s largest companies such as Siemens. The purpose of this thesis is to examine which application layer protocols and communication technologies are the most suitable for the sensor data transmission from a physical twin to a digital twin. In addition, a platform enabling this data transmission is developed.
As the concept of a digital twin is relatively new, a comprehensive literature view on the definition of a digital twin in scientific literature is presented. It has been found that the vision of a digital twin has evolved from the concepts of ‘intelligent products’ presented at the beginning of the 2000s. The most widely adopted definition states that a digital twin accurately mirrors the current state of its corresponding twin. However, the definition of a digital twin is not yet standardized and varies in different fields.
Based on the literature review, the communication needs of a digital twin are derived. Thereafter, the suitability of HTTP, MQTT, CoAP, XMPP, AMQP, DDS, and OPC UA for sensor data transmission are examined through a literature review. In addition, a review of 4G, 5G, NB-IoT, LoRa, Sigfox, Bluetooth, Wi-Fi, Z-Wave, ZigBee, and WirelessHART is presented.
A platform for the management of the sensors is developed. The platform narrows the gap between the concept and realization of a digital twin by enabling sensor data transmission. The platform allows easy addition of sensors to a physical twin and provides an interface for their configuration remotely over the Internet. It supports multiple sensor types and application protocols and offers both web user iterface and REST API.Digitaalinen kaksonen on fyysisen tuotteen digitaalinen vastinkappale, joka sisältää tiedon sen nykyisestä tilasta. Digitaalisen kaksosen käsite otettiin ensimmäisen kerran käyttöön vuonna 2010. Sen jälkeen digitaalinen kaksonen on saanut paljon huomiota, ja sitä ovat lähteneet kehittämään maailman suurimmat yritykset, kuten Siemens. Tämän työn tarkoituksena tutkia, mitkä sovelluskerroksen protokollat ja langattomat verkot soveltuvat parhaiten anturien keräämän datan lähettämiseen fyysiseltä kaksoselta digitaaliselle kaksoselle. Sen lisäksi työssä esitellään alusta, joka mahdollistaa tämän tiedonsiirron.
Digitaalisen kaksosesta esitetään laaja kirjallisuuskatsaus, joka luo pohjan työn myöhemmille osioille. Digitaalisen kaksosen konsepti pohjautuu 2000-luvun alussa esiteltyihin ajatuksiin ”älykkäistä tuotteista”. Yleisimmän käytössä olevan määritelmän mukaan digitaalinen kaksonen heijastaa sen fyysisen vastinparin tämän hetkistä tilaa. Määritelmä kuitenkin vaihtelee eri alojen välillä eikä se ole vielä vakiintunut tieteellisessä kirjallisuudessa.
Kirjallisuuskatsauksen avulla johdetaan digitaalisen kaksosen kommunikaatiotarpeet. Sen jälkeen arvioidaan seuraavien sovelluskerroksen protokollien soveltuvuutta anturidatan lähettämiseen kirjallisuuskatsauksen avulla: HTTP, MQTT, CoAP, XMPP, AMQP, DDS ja OPC UA. Myös seuraavien langattomien verkkojen soveltuvuutta tiedonsiirtoon tutkitaan: 4G, 5G, NB-IoT, LoRaWAN, Sigfox, Bluetooth, Wi-Fi, Z-Wave, ZigBee ja WirelessHART.
Osana työtä kehitettiin myös ohjelmistoalusta, joka mahdollistaa anturien hallinnan etänä Internetin välityksellä. Alusta on pieni askel kohti digitaalisen kaksosen käytän-nön toteutusta, sillä se mahdollistaa tiedon keräämisen fyysisestä vastinkappaleesta. Sen avulla sensorien lisääminen fyysiseen kaksoseen on helppoa, ja se tukee sekä useita sensorityyppejä että sovelluskerroksen protokollia. Alusta tukee REST API –rajapintaa ja sisältää web-käyttöliittymän
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