Virtual transducers in service-oriented smart transducers network

Bezanic, Nikola; Popović, Ivan

doi:10.1109/telfor.2013.6716354

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…We go one step further and introduce a new entity behind the already defined Web services. To achieve symmetry between transducers and their applications, we introduce a concept of virtual transducers, similar as in [10]. Hence, virtual smart transducer is a data processing application equipped with STWS interface, but rather acts as a STWS service producer instead of a common consumer.…”

Section: Virtual Smart Transducermentioning

confidence: 99%

“…This setup requires a central authority with STWS client interface for a complete communication model, to keep track of attached devices and coordinate data exchange. Virtual smart transducer from [10] is presented in terms of implementing the customized TEDS formats and additional Web services for purpose of reading/writing these TEDS. In that case, realization is limited to configuration of an output device (e.g.…”

Section: Virtual Smart Transducermentioning

confidence: 99%

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Service-oriented implementation model for smart transducers network

Bezanic

Popović

2015

Computer Standards & Interfaces

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Section: Virtual Smart Transducermentioning

confidence: 99%

Section: Virtual Smart Transducermentioning

confidence: 99%

Service-oriented implementation model for smart transducers network

Bezanic

Popović

2015

Computer Standards & Interfaces

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“…The top layer in AMI architecture, Meter Data Collection layer (MDC) is a service oriented architecture (SOA) software solution aimed for meter data collection, data verification and correction, data storage and command processing [19,20]. It is responsible for all data and command transfers with TSCs.…”

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confidence: 99%

Layered AMI architecture for various grid topologies and communication technologies

Petruševski¹,

Rakić²,

Popović³

2016

Telfor

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-Advanced metering infrastructure (AMI) system, proposed in this paper, is capable of fulfilling all smart metering functionalities in real-time. The novel Local Metering Concentrator (LMC) layer is introduced as the set of independent embedded system components, allowing distributed architecture implementation. Two main data flows can be defined as command request processing and meter data acquisition. A command request, initiated by some of the top layer applications, is processed and forwarded through the system to the LMC layer, where the request is executed and the status is sent as a reply. The data and event acquisition is performed as an automatic function of the LMC layer. The collected data is forwarded to the system as soon as it is downloaded from the meters. The results of more than oneyear exploitation of the installed pilot system are presented, emphasizing the real-time load profile data acquisition, allowing the distribution system operators (DSO) and the end consumer to be actively involved in energy saving. The introduced architecture enables load profiling, energy diagnostic and easy integration with any meter data management system. Keywords -Advanced metering infrastructure, power line communication, smart grid, smart meters.I. INTRODUCTION HE set of AMI technologies provides connection between DSO and energy consumers, allowing participations of concerned parties in energy monitoring, profiling, management and saving [1][2][3]. The road-map of the smart grid concept emphasizes the need for real-time smart metering functionality within the AMI. Since load control, profiling and energy saving are targeted by smart metering concept, the real-time information transfer will contribute to essential benefits, individual as well as environmental, by providing support for real-time consumer side applications and energy management systemBased on the available experiences, one of the main deficiencies of the traditional Smart Metering Systems is the communication system between the data concentrator and electrical meter, due to a large amount of information data needed to be transferred and time consuming communication protocols. The traditional system is usually based on a proprietary communication mechanism over communication interfaces with a limited performance both in throughput and reliability, e.g. GPRS, narrow-band power line communication (N-PLC), etc. [7]. Due to mentioned technical limits, existing AMI implementation concepts provide only a basic smart metering functionality and metering data collection usually not more often than once per day. The aim of this paper is to overcome the deficiencies of traditional AMI concept by introducing a novel architecture, capable of real-time data transfer, interoperability (support for multi-vendor electrical meters), and open to implementation of various modern communication technologies [8]-[12].In addition to the previously presented architectural overview in [13], this paper gives more details on the structure, operation and interaction ...

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Integration of signal prediction service in Service Oriented Architecture

Bezanic

Popović

Rakić

2014

12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

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Smart transducers based on the IEEE 1451 standard provide platform for development of distributed measurement and control systems. Integration of IEEE 1451 services based on Service Oriented Architecture (SOA) enables simple implementation, interoperability, scalability of distributed system components, accessible in the form of network services. Addressing the transport latency and packet loss in distributed systems, we propose the concept of algorithms' and processes' implementation in the form of dislocated network services. Introducing the signal data paths, time-stamped data and time synchronization mechanism, we provide the support for real-time system characteristics. Each component on the data path is able to analyze the packets of time-stamped information, extract an adequate sample set, and apply this set to the input of the implemented real-time algorithm or actuator. Proper management of the time-stamped information along data path enables real-time actions despite the network propagation delay or other systems' latencies. In this paper, the presented architecture is used for integration of the signal prediction service in smart transducers network based on SOA. Purpose of the service is to predict the values of arbitrary signals in order to compensate network delay and packet loss. Two realizations of the signal prediction service, based on neural networks are given: feed-forward and feedback predictive network. The system containing embedded IEEE 1451 smart transducer module for relative humidity measurement and signal prediction service on the general purpose platform is used for the experimental verification of the proposed concept.Index Terms-IEEE 1451, neural networks, service-oriented architecture, signal prediction, smart transducers, smart transducer web services.

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Virtual transducers in service-oriented smart transducers network

Cited by 5 publications

References 6 publications

Service-oriented implementation model for smart transducers network

Service-oriented implementation model for smart transducers network

Layered AMI architecture for various grid topologies and communication technologies

Integration of signal prediction service in Service Oriented Architecture

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