Continuous maintenance and the future – Foundations and technological challenges

High value and long life products require continuous maintenance throughout their life cycle to achieve required performance with optimum through-life cost. This paper presents foundations and technologies required to offer the maintenance service. Component and system level degradation science, assessment and modelling along with life cycle ‘big data’ analytics are the two most important knowledge and skill base required for the continuous maintenance. Advanced computing and visualisation technologies will improve efficiency of the maintenance and reduce through-life cost of the product. Future of continuous maintenance within the Industry 4.0 context also identifies the role of IoT, standards and cyber security

Middleware Technologies for Cloud of Things - a survey

The next wave of communication and applications rely on the new services provided by Internet of Things which is becoming an important aspect in human and machines future. The IoT services are a key solution for providing smart environments in homes, buildings and cities. In the era of a massive number of connected things and objects with a high grow rate, several challenges have been raised such as management, aggregation and storage for big produced data. In order to tackle some of these issues, cloud computing emerged to IoT as Cloud of Things (CoT) which provides virtually unlimited cloud services to enhance the large scale IoT platforms. There are several factors to be considered in design and implementation of a CoT platform. One of the most important and challenging problems is the heterogeneity of different objects. This problem can be addressed by deploying suitable "Middleware". Middleware sits between things and applications that make a reliable platform for communication among things with different interfaces, operating systems, and architectures. The main aim of this paper is to study the middleware technologies for CoT. Toward this end, we first present the main features and characteristics of middlewares. Next we study different architecture styles and service domains. Then we presents several middlewares that are suitable for CoT based platforms and lastly a list of current challenges and issues in design of CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268, Digital Communications and Networks, Elsevier (2017

Middleware Technologies for Cloud of Things - a survey

The next wave of communication and applications rely on the new services provided by Internet of Things which is becoming an important aspect in human and machines future. The IoT services are a key solution for providing smart environments in homes, buildings and cities. In the era of a massive number of connected things and objects with a high grow rate, several challenges have been raised such as management, aggregation and storage for big produced data. In order to tackle some of these issues, cloud computing emerged to IoT as Cloud of Things (CoT) which provides virtually unlimited cloud services to enhance the large scale IoT platforms. There are several factors to be considered in design and implementation of a CoT platform. One of the most important and challenging problems is the heterogeneity of different objects. This problem can be addressed by deploying suitable "Middleware". Middleware sits between things and applications that make a reliable platform for communication among things with different interfaces, operating systems, and architectures. The main aim of this paper is to study the middleware technologies for CoT. Toward this end, we first present the main features and characteristics of middlewares. Next we study different architecture styles and service domains. Then we presents several middlewares that are suitable for CoT based platforms and lastly a list of current challenges and issues in design of CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268, Digital Communications and Networks, Elsevier (2017

A Framework for Service-Oriented Architecture (SOA)-Based IoT Application Development

Funding: This research was partially supported by funds provided by the European Commission in the scope of FoF/H2020-723710 vf-OS, ICT/H2020-825631 ZDMP projects, and by the FCT— Fundação para a Ciência e a Tecnologia in the scope of UIDB/00066/2020 related to CTS—Centro de Tecnologia e Sistemas research unit.In the last decades, the increasing complexity of industrial information technology has led to the emergence of new trends in manufacturing. Factories are using multiple Internet of Things (IoT) platforms to harvest sensor information to improve production. Such a transformation contributes to efficiency growth and reduced production costs. To deal with the heterogeneity of the services within an IoT system, Service-Oriented Architecture (SOA) is referred to in the literature as being advantageous for the design and development of software to support IoT-based production processes.The aim of SOA-based design is to provide the leverage to use and reuse loosely coupled IoT services at the middleware layer to minimise system integration problems. We propose a system architecture that follows the SOA architectural pattern and enables developers and business process designers to dynamically add, query or use instances of existing modular software in the IoT context. Furthermore, an analysis of utilization of modular software that presents some challenges and limitations of this approach is also in the scope of this workpublishersversionpublishe

Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges

Cyber-Physical Systems (CPS) is an emergent approach that focuses on the integration of computational applications with physical devices, being designed as a network of interacting cyber and physical elements. CPS control and monitor real-world physical infrastructures and thus is starting having a high impact in industrial automation. As such design, implementation and operation of CPS and management of the resulting automation infrastructure is of key importance for the industry. In this work, an overview of key aspects of industrial CPS, their technologies and emerging directions, as well as challenges for their implementation is presented. Based on the hands-on experiences gathered from four European innovation projects over the last decade (i.e. SOCRADES, IMC-AESOP, GRACE and ARUM), a key challenges have been identified and a prioritization and timeline are pointed out with the aim to increase Technology Readiness Levels and lead to their usage in industrial automation environments.The authors would like to thank for their support the European Commission, and the partners of the EU FP6 SOCRADES (www.socrades.net), EU FP7 GRACE (www.grace-project.org), EU FP7 IMC-AESOP (www.imc-aesop.eu) and EU FP7 ARUM (www.arum-project.eu) projects, for their fruitful support and discussions.info:eu-repo/semantics/publishedVersio

Teollisen Internetin käyttöönotto automaatiolaitteissa

Industrial Internet is a term that is used to describe digitalization of industry. It is a research direction in Finland, where there are already various groups studying it. Despite this, the term Industrial Internet is still relatively vague and there is a lack of concreteness around the topic. The objective of this thesis is to explore the current status of Industrial Internet and study the capabilities of automation devices from an Industrial Internet point of view. I explore Industrial Internet through a literary review where I study various use cases. The use cases of Industrial Internet are divided into two main types: platform centric and machine to machine (M2M) communication centric. The use cases provide a list of characteristics and requirements for Industrial Internet from these two perspectives. General requirements are, for example scalability and flexibility, which are achieved through various IT technologies, such as Service-Oriented-Architecture. This thesis also consists of a practical part where I configured the control logic and data collection for a test bed that simulates drop tests of active magnetic bearings. The control logic consists of a programmable logic controller and corresponding software. The data collection consists of software for collecting and analyzing measurement data and the measuring equipment. After the literary review and practical part, I propose the creation of a cloud based Industrial Internet platform around the active magnetic test bed. The purpose of the platform is to provide a direction for further research. The creation of the platform consists of two phases: first phase includes the creation of the platform so that the test bed achieves current functionality but cloud based. The second phase consists of changing the platform to meet the requirements of the literature review. The end results will be an application independent system solution for Industrial Internet.Teollinen Internet on termi, jolla kuvataan teollisuuden digitalisaatiota. Aihe on kasvavan kiinnostuksen kohde ja esim. Suomessa on useita tahoja, jotka panostavat aiheen tutkimukseen. Siltikin Teollinen Internet on käsitteenä epäselvä ja sitä vaivaa konkretian puute. Tämän työn tarkoituksena on tutustua Teollisen Internetin nykytilaan ja automaatiolaitteiden ominaisuuksiin Teollisen Internetin näkökulmasta. Teollisen Internetin esimerkit jakautuvat pääasiassa kahteen luokkaan: alustalähtöisiin ja koneiden väliseen kommunikaatioon (M2M-kommunikaatio). Esimerkit tarjoavat listan ominaisuuksia ja vaatimuksia Teolliselle Internetille kummastakin näkökulmasta. Yleisiä ominaisuuksia ovat esimerkiksi skaalattavuus ja joustavuus, jotka saavutetaan erilaisilla tietoteknisillä vaatimuksilla, esim. palvelukeskeisellä arkkitehtuurilla. Lisäksi työhön kuuluu käytännön osuus, jossa kirjoitin ohjainlogiikan ja datankeräyksen testilaitteeseen, joka simuloi aktiivimagneettilaakerien pudotuskokeita. Ohjainlogiikka koostui PLC-laitteesta ja siihen liittyvistä ohjelmistoista. Datan keräys koostui mittausdatan keräykseen ja purkamiseen vaadittavista ohjelmistoista sekä laitteistosta. Kirjallisuudesta kerättyjen vaatimusten ja käytännön kokemuksien perusteella esitän pilvipohjaisen, Teolliseen Internetiin suunnatun ohjelmistoalustan kehittämistä testilaitteen ympärille. Ohjelmistoalusta voi toimia yliopistollisen jatkotutkimuksen pohjana. Ohjelmistoalustan toteuttaminen tapahtuu kahdessa vaiheessa: ensimmäisessä vaiheessa kehitetään pilvipohjainen alusta, joka saavuttaa testilaitteiston nykyisen toiminnallisuuden. Toisessa vaiheessa ohjelmistoalusta muutetaan vastaamaan Teollisen Internetin vaatimuksia, jolla saavutetaan sovellusriippumaton järjestelmäratkaisu