17,096 research outputs found
Evaluating XMPP Communication in IEC 61499-based Distributed Energy Applications
The IEC 61499 reference model provides an international standard developed
specifically for supporting the creation of distributed event-based automation
systems. Functionality is abstracted into function blocks which can be coded
graphically as well as via a text-based method. As one of the design goals was
the ability to support distributed control applications, communication plays a
central role in the IEC 61499 specification. In order to enable the deployment
of functionality to distributed platforms, these platforms need to exchange
data in a variety of protocols. IEC 61499 realizes the support of these
protocols via "Service Interface Function Blocks" (SIFBs). In the context of
smart grids and energy applications, IEC 61499 could play an important role, as
these applications require coordinating several distributed control logics.
Yet, the support of grid-related protocols is a pre-condition for a wide-spread
utilization of IEC 61499. The eXtensible Messaging and Presence Protocol (XMPP)
on the other hand is a well-established protocol for messaging, which has
recently been adopted for smart grid communication. Thus, SIFBs for XMPP
facilitate distributed control applications, which use XMPP for exchanging all
control relevant data, being realized with the help of IEC 61499. This paper
introduces the idea of integrating XMPP into SIFBs, demonstrates the
prototypical implementation in an open source IEC 61499 platform and provides
an evaluation of the feasibility of the result.Comment: 2016 IEEE 21st International Conference on Emerging Technologies and
Factory Automation (ETFA
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
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Simple network management protocol co- existence with hydrocarbon process automation communication real-time network
Hydrocarbon Process Automation Applications (HPAA) utilizes Real-time network connecting process instrumentations, controllers, and real-time logic control applications. Conventional practice is to dedicate a real-time network for process automation applications and prevent other applications from utilizing the same infrastructure. An important application that can help optimize, improve network performance, and provide rapid response time in network diagnostics and mitigation is Simple Network Management Protocol (SNMP). This paper addresses the co-existence of SNMP traffic with real-time applications. The impacts of activating this protocol with the real-time HPAA utilizing high speed Ethernet network design will be examined. Empirical data for an implemented Hydrocarbon process automation system will be used to illustrate the interdependency of application performance, traffic mix, and potential areas of improvements. The outcomes of this effort demonstrate the co-existence of SNMP with HPPA, given special considerations (i.e., bandwidth, number of applications, etc.)
Integration of heterogeneous devices and communication models via the cloud in the constrained internet of things
As the Internet of Things continues to expand in the coming years, the need for services that span multiple IoT application domains will continue to increase in order to realize the efficiency gains promised by the IoT. Today, however, service developers looking to add value on top of existing IoT systems are faced with very heterogeneous devices and systems. These systems implement a wide variety of network connectivity options, protocols (proprietary or standards-based), and communication methods all of which are unknown to a service developer that is new to the IoT. Even within one IoT standard, a device typically has multiple options for communicating with others. In order to alleviate service developers from these concerns, this paper presents a cloud-based platform for integrating heterogeneous constrained IoT devices and communication models into services. Our evaluation shows that the impact of our approach on the operation of constrained devices is minimal while providing a tangible benefit in service integration of low-resource IoT devices. A proof of concept demonstrates the latter by means of a control and management dashboard for constrained devices that was implemented on top of the presented platform. The results of our work enable service developers to more easily implement and deploy services that span a wide variety of IoT application domains
Factors shaping the evolution of electronic documentation systems
The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments
JEERP: Energy Aware Enterprise Resource Planning
Ever increasing energy costs, and saving requirements, especially in enterprise contexts, are pushing the limits of Enterprise Resource Planning to better account energy, with component-level asset granularity. Using an application-oriented approach we discuss the different aspects involved in designing Energy Aware ERPs and we show a prototypical open source implementation based on the Dog Domotic Gateway and the Oratio ER
Phenolic profiling, biological activities and in silico studies of Acacia tortilis (Forssk.) Hayne ssp. raddiana extracts
The authors are grateful to the Foundation for Science and
Technology (FCT, Portugal) for financial support through national
funds FCT/MCTES to CIMO (UIDB/00690/2020). L. Barros and R. C.
Calhelha thank the national funding by the FCT, P.I., through the institutional
scientific employment program-contract for their contracts.
M. Carocho also thanks the project ValorNatural for his research contract.
The authors are also grateful to the FEDER-Interreg España-
Portugal programme for financial support through the project
0377_Iberphenol_6_E.info:eu-repo/semantics/publishedVersio
Engineering of next generation cyber-physical automation system architectures
Cyber-Physical-Systems (CPS) enable flexible and reconfigurable realization
of automation system architectures, utilizing distributed control architectures
with non-hierarchical modules linked together through different communication
systems. Several control system architectures have been developed and validated in
the past years by research groups. However, there is still a lack of implementation
in industry. The intention of this work is to provide a summary of current alternative
control system architectures that could be applied in industrial automation domain
as well as a review of their commonalities. The aim is to point out the differences
between the traditional centralized and hierarchical architectures to discussed ones,
which rely on decentralized decision-making and control. Challenges and impacts
that industries and engineers face in the process of adopting decentralized control
architectures are discussed, analysing the obstacles for industrial acceptance and the
new necessary interdisciplinary engineering skills. Finally, an outlook of possible
mitigation and migration actions required to implement the decentralized control
architectures is addressed.The authors would like to thank the European Commission for the support,
and the partners of the EU Horizon 2020 project PERFoRM (2016b) for the fruitful discussions.
The PERFoRM project has received funding from the European Union’s Horizon 2020 research
and innovation programme under grant agreement No 680435.info:eu-repo/semantics/publishedVersio
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