13 research outputs found
Interoperability between OPC UA and oneM2M
AbstractA key requirement of realizing the connected world featured by IoT is to ensure interoperability among different connected devices. Interoperability is also at the basis of the realization of the novel vision of Industry 4.0; a lot effort is put to make interoperable the interchange of information between industrial applications, also including IoT ecosystems. For this reason, during these last years, several approaches aimed to enhance interoperability between industrial applications and IoT appeared in the literature. In this paper an interoperability proposal is presented. It is based on the idea to realize interworking between the two standards considered among the reference ones in the industrial and IoT domains. They are the OPC UA for the industrial domain and oneM2M for the IoT. Interworking is realized in such a way to allow industrial applications based on OPC UA to acquire information coming from oneM2M-based IoT devices. The proposal allows an OPC UA Server to publish each piece of information produced by oneM2M-based IoT devices, so that this information may be consumed by industrial applications playing the OPC UA Client role
Machine Tool Communication (MTComm) Method and Its Applications in a Cyber-Physical Manufacturing Cloud
The integration of cyber-physical systems and cloud manufacturing has the potential to revolutionize existing manufacturing systems by enabling better accessibility, agility, and efficiency. To achieve this, it is necessary to establish a communication method of manufacturing services over the Internet to access and manage physical machines from cloud applications. Most of the existing industrial automation protocols utilize Ethernet based Local Area Network (LAN) and are not designed specifically for Internet enabled data transmission. Recently MTConnect has been gaining popularity as a standard for monitoring status of machine tools through RESTful web services and an XML based messaging structure, but it is only designed for data collection and interpretation and lacks remote operation capability. This dissertation presents the design, development, optimization, and applications of a service-oriented Internet-scale communication method named Machine Tool Communication (MTComm) for exchanging manufacturing services in a Cyber-Physical Manufacturing Cloud (CPMC) to enable manufacturing with heterogeneous physically connected machine tools from geographically distributed locations over the Internet. MTComm uses an agent-adapter based architecture and a semantic ontology to provide both remote monitoring and operation capabilities through RESTful services and XML messages. MTComm was successfully used to develop and implement multi-purpose applications in in a CPMC including remote and collaborative manufacturing, active testing-based and edge-based fault diagnosis and maintenance of machine tools, cross-domain interoperability between Internet-of-things (IoT) devices and supply chain robots etc. To improve MTComm’s overall performance, efficiency, and acceptability in cyber manufacturing, the concept of MTComm’s edge-based middleware was introduced and three optimization strategies for data catching, transmission, and operation execution were developed and adopted at the edge. Finally, a hardware prototype of the middleware was implemented on a System-On-Chip based FPGA device to reduce computational and transmission latency. At every stage of its development, MTComm’s performance and feasibility were evaluated with experiments in a CPMC testbed with three different types of manufacturing machine tools. Experimental results demonstrated MTComm’s excellent feasibility for scalable cyber-physical manufacturing and superior performance over other existing approaches
Machine Tool Communication (MTComm) Method and Its Applications in a Cyber-Physical Manufacturing Cloud
The integration of cyber-physical systems and cloud manufacturing has the potential to revolutionize existing manufacturing systems by enabling better accessibility, agility, and efficiency. To achieve this, it is necessary to establish a communication method of manufacturing services over the Internet to access and manage physical machines from cloud applications. Most of the existing industrial automation protocols utilize Ethernet based Local Area Network (LAN) and are not designed specifically for Internet enabled data transmission. Recently MTConnect has been gaining popularity as a standard for monitoring status of machine tools through RESTful web services and an XML based messaging structure, but it is only designed for data collection and interpretation and lacks remote operation capability. This dissertation presents the design, development, optimization, and applications of a service-oriented Internet-scale communication method named Machine Tool Communication (MTComm) for exchanging manufacturing services in a Cyber-Physical Manufacturing Cloud (CPMC) to enable manufacturing with heterogeneous physically connected machine tools from geographically distributed locations over the Internet. MTComm uses an agent-adapter based architecture and a semantic ontology to provide both remote monitoring and operation capabilities through RESTful services and XML messages. MTComm was successfully used to develop and implement multi-purpose applications in in a CPMC including remote and collaborative manufacturing, active testing-based and edge-based fault diagnosis and maintenance of machine tools, cross-domain interoperability between Internet-of-things (IoT) devices and supply chain robots etc. To improve MTComm’s overall performance, efficiency, and acceptability in cyber manufacturing, the concept of MTComm’s edge-based middleware was introduced and three optimization strategies for data catching, transmission, and operation execution were developed and adopted at the edge. Finally, a hardware prototype of the middleware was implemented on a System-On-Chip based FPGA device to reduce computational and transmission latency. At every stage of its development, MTComm’s performance and feasibility were evaluated with experiments in a CPMC testbed with three different types of manufacturing machine tools. Experimental results demonstrated MTComm’s excellent feasibility for scalable cyber-physical manufacturing and superior performance over other existing approaches
A Semantic Interoperability Model Based on the IEEE 1451 Family of Standards Applied to the Industry 4.0
The Internet of Things (IoT) has been growing recently. It is a concept for connecting
billions of smart devices through the Internet in different scenarios. One area being
developed inside the IoT in industrial automation, which covers Machine-to-Machine (M2M) and industrial communications with an automatic process, emerging the
Industrial Internet of Things (IIoT) concept. Inside the IIoT is developing the concept of
Industry 4.0 (I4.0). That represents the fourth industrial revolution and addresses the
use of Internet technologies to improve the production efficiency of intelligent services
in smart factories. I4.0 is composed of a combination of objects from the physical world and the digital world that offers dedicated functionality and flexibility inside and outside of an I4.0 network.
The I4.0 is composed mainly of Cyber-Physical Systems (CPS). The CPS is the integration
of the physical world and its digital world, i.e., the Digital Twin (DT). It is responsible for realising the intelligent cross-link application, which operates in a self-organised and
decentralised manner, used by smart factories for value creation. An area where the CPS
can be implemented in manufacturing production is developing the Cyber-Physical Production System (CPPS) concept. CPPS is the implementation of Industry 4.0 and CPS in manufacturing and production, crossing all levels of production between the
autonomous and cooperative elements and sub-systems. It is responsible for connecting
the virtual space with the physical world, allowing the smart factories to be more intelligent, resulting in better and smart production conditions, increasing productivity,
production efficiency, and product quality. The big issue is connecting smart devices with
different standards and protocols. About 40% of the benefits of the IoT cannot be
achieved without interoperability. This thesis is focused on promoting the
interoperability of smart devices (sensors and actuators) inside the IIoT under the I4.0 context.
The IEEE 1451 is a family of standards developed to manage transducers. This standard reaches the syntactic level of interoperability inside Industry 4.0. However, Industry 4.0
requires a semantic level of communication not to exchange data ambiguously. A new
semantic layer is proposed in this thesis allowing the IEEE 1451 standard to be a complete framework for communication inside the Industry 4.0 to provide an interoperable network interface with users and applications to collect and share the data from the industry field.A Internet das Coisas tem vindo a crescer recentemente. É um conceito que permite
conectar bilhões de dispositivos inteligentes através da Internet em diferentes cenários.
Uma área que está sendo desenvolvida dentro da Internet das Coisas é a automação
industrial, que abrange a comunicação máquina com máquina no processo industrial de
forma automática. Essa interligação, representa o conceito da Internet das Coisas
Industrial. Dentro da Internet das Coisas Industrial está a desenvolver o conceito de
Indústria 4.0 (I4.0). Isso representa a quarta revolução industrial que aborda o uso de
tecnologias utilizadas na Internet para melhorar a eficiência da produção de serviços em
fábricas inteligentes. A Indústria 4.0 é composta por uma combinação de objetos do
mundo fĂsico e do mundo da digital que oferece funcionalidade dedicada e flexibilidade
dentro e fora de uma rede da IndĂşstria 4.0.
O I4.0 Ă© composto principalmente por Sistemas CiberfĂsicos. Os Sistemas CiberfĂsicos
permitem a integração do mundo fĂsico com seu representante no mundo digital, por
meio do GĂ©meo Digital. Sistemas CiberfĂsicos sĂŁo responsáveis por realizar a aplicação
inteligente da ligação cruzada, que opera de forma auto-organizada e descentralizada,
utilizada por fábricas inteligentes para criação de valor. Uma área em que o Sistema
CiberfĂsicos pode ser implementado na produção manufatureira, isso representa o
desenvolvimento do conceito Sistemas de Produção CiberfĂsicos. Esse sistema Ă© a
implementação da IndĂşstria 4.0 e Sistema CiberfĂsicos na fabricação e produção. A
cruzar todos os nĂveis desde a produção entre os elementos e subsistemas autĂłnomos e
cooperativos. Ele Ă© responsável por conectar o espaço virtual com o mundo fĂsico,
permitindo que as fábricas inteligentes sejam mais inteligentes, resultando em condições
de produção melhores e inteligentes, aumentando a produtividade, a eficiência da
produção e a qualidade do produto. A grande questão é como conectar dispositivos
inteligentes com diferentes normas e protocolos. Cerca de 40% dos benefĂcios da Internet
das Coisas não podem ser alcançados sem interoperabilidade. Esta tese está focada em
promover a interoperabilidade de dispositivos inteligentes (sensores e atuadores) dentro
da Internet das Coisas Industrial no contexto da IndĂşstria 4.0.
O IEEE 1451 Ă© uma famĂlia de normas desenvolvidos para gerenciar transdutores. Esta
norma alcança o nĂvel sintático de interoperabilidade dentro de uma indĂşstria 4.0. No
entanto, a IndĂşstria 4.0 requer um nĂvel semântico de comunicação para nĂŁo haver a
trocar dados de forma ambĂgua. Uma nova camada semântica Ă© proposta nesta tese
permitindo que a famĂlia de normas IEEE 1451 seja um framework completo para
comunicação dentro da Indústria 4.0. Permitindo fornecer uma interface de rede
interoperável com utilizadores e aplicações para recolher e compartilhar os dados dentro
de um ambiente industrial.This thesis was developed at the Measurement and Instrumentation Laboratory (IML)
in the University of Beira Interior and supported by the portuguese project INDTECH
4.0 – Novas tecnologias para fabricação, que tem como objetivo geral a conceção e
desenvolvimento de tecnologias inovadoras no contexto da IndĂşstria 4.0/Factories of the Future (FoF), under the number POCI-01-0247-FEDER-026653
Towards Data Sharing across Decentralized and Federated IoT Data Analytics Platforms
In the past decade the Internet-of-Things concept has overwhelmingly entered all of the fields where data are produced and processed, thus, resulting in a plethora of IoT platforms, typically cloud-based, that centralize data and services management. In this scenario, the development of IoT services in domains such as smart cities, smart industry, e-health, automotive, are possible only for the owner of the IoT deployments or for ad-hoc business one-to-one collaboration agreements. The realization of "smarter" IoT services or even services that are not viable today envisions a complete data sharing with the usage of multiple data sources from multiple parties and the interconnection with other IoT services.
In this context, this work studies several aspects of data sharing focusing on Internet-of-Things. We work towards the hyperconnection of IoT services to analyze data that goes beyond the boundaries of a single IoT system. This thesis presents a data analytics platform that: i) treats data analytics processes as services and decouples their management from the data analytics development; ii) decentralizes the data management and the execution of data analytics services between fog, edge and cloud; iii) federates peers of data analytics platforms managed by multiple parties allowing the design to scale into federation of federations; iv) encompasses intelligent handling of security and data usage control across the federation of decentralized platforms instances to reduce data and service management complexity.
The proposed solution is experimentally evaluated in terms of performances and validated against use cases. Further, this work adopts and extends available standards and open sources, after an analysis of their capabilities, fostering an easier acceptance of the proposed framework. We also report efforts to initiate an IoT services ecosystem among 27 cities in Europe and Korea based on a novel methodology.
We believe that this thesis open a viable path towards a hyperconnection of IoT data and services, minimizing the human effort to manage it, but leaving the full control of the data and service management to the users' will
Advancing IoT Platforms Interoperability
The IoT European Platforms Initiative (IoT-EPI) projects are addressing the topic of Internet of Things and Platforms for Connected Smart Objects and aim to deliver an IoT extended into a web of platforms for connected devices and objects that supports smart environments, businesses, services and persons with dynamic and adaptive configuration capabilities. The specific areas of focus of the research activities are architectures and semantic interoperability, which reliably cover multiple use cases. The goal is to deliver dynamically-configured infrastructure and integration platforms for connected smart objects covering multiple technologies and multiple intelligent artefacts. The IoT-EPI ecosystem has been created with the objective of increasing the impact of the IoT-related European research and innovation, including seven European promising projects on IoT platforms: AGILE, BIG IoT, INTER-IoT, VICINITY, SymbIoTe, bIoTope, and TagItSmart.This white paper provides an insight regarding interoperability in the IoT platforms and ecosystems created and used by IoT-EPI. The scope of this document covers the interoperability aspects, challenges and approaches that cope with interoperability in the current existing IoT platforms and presents some insights regarding the future of interoperability in this context. It presents possible solutions, and a possible IoT interoperability platform architecture
Advancing IoT Platforms Interoperability
The IoT European Platforms Initiative (IoT-EPI) projects are addressing the topic of Internet of Things and Platforms for Connected Smart Objects and aim to deliver an IoT extended into a web of platforms for connected devices and objects that supports smart environments, businesses, services and persons with dynamic and adaptive configuration capabilities. The specific areas of focus of the research activities are architectures and semantic interoperability, which reliably cover multiple use cases. The goal is to deliver dynamically-configured infrastructure and integration platforms for connected smart objects covering multiple technologies and multiple intelligent artefacts. The IoT-EPI ecosystem has been created with the objective of increasing the impact of the IoT-related European research and innovation, including seven European promising projects on IoT platforms: AGILE, BIG IoT, INTER-IoT, VICINITY, SymbIoTe, bIoTope, and TagItSmart.This white paper provides an insight regarding interoperability in the IoT platforms and ecosystems created and used by IoT-EPI. The scope of this document covers the interoperability aspects, challenges and approaches that cope with interoperability in the current existing IoT platforms and presents some insights regarding the future of interoperability in this context. It presents possible solutions, and a possible IoT interoperability platform architecture
PIS: IoT & Industry 4.0 Challenges
International audienceIn the era of Industry 4.0, digital manufacturing is evolving into smart manufacturing. This evolution impacts companies in three main areas: organization, people, and technologies. This chapter analyzes the Internet of Things (IoT) and Cyber-Physical Systems (CPS)—key technologies transforming the physical world into a digitalized physical world. IoT and CPS provide factories with sensing capabilities, perform data and context capture and allow them to act/react to optimize the value chain. We survey the recent state-of-the-art development of the Industrial Internet of Things (IIoT)—also known as IoT and CPS in the context of Industry 4.0, from a protocol, architecture, and standard point-of-view. We also explore key challenges and future research directions for extensive industrial adoption of these technologies