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A Case for Real-World Smart Environments: The Development of a Remote Autonomous Energy Aware Monitoring System Using Next Generation Technologies

Authors: Nicholas McLauchlan; Nik Bessis;

A Case for Real-World Smart Environments: The Development of a Remote Autonomous Energy Aware Monitoring System Using Next Generation Technologies

Abstract

Much work is underway on issues associated with the development of tools and services to reduce worldwide energy consumption. Current trends in energy consumption show clear evidence that it is increasing whilst reserves of carbon based energy are reducing and green technologies for energy generation are yet to prove themselves. In industry, numerous instrument manufacturers support the MODBUS protocol as a means of communicating between relevant devices. In fact, there are many legacy installations of equipment capable of transmitting its energy usage via the MODBUS protocol. In this paper we introduce a means of logging energy usage data and transmitting it to a database. The motivation is that making energy users aware of their consumption can help assist them in taking informed action towards the reduction of wasted energy. We use GSM/GPRS technology, embedded KJava runtime and a bespoke Java application as the framework to email the usage data to the database. Pilot testing shows evidence of a successful transfer of usage data from the meter to a registered e-mail account.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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