Title :
Smart Health Monitoring Using the Advance Metering Infrastructure
Author :
Carl Chalmers;William Hurst;Michael Mackay;Paul Fergus
Author_Institution :
Sch. of Comput. &
Abstract :
Around the world, a large scale implementation of smart meters is underway. The UK alone will install and configure over 50 million smart meters by the end of 2020. These smart devices enable consumer electricity usage monitoring with a high degree of accuracy. Each device records consumer data at regular intervals, which can be used to identify and profile half-hourly routines and habits. This enables the detection of sudden abnormal changes in behaviour based on the analysis of regular activities a consumer would undertake during a 24 hour period. The challenge, however, is to develop a system that can distinguish reliably between subtle changes in energy usage. The system could then be used to provide accurate monitoring for people living with self-limiting conditions, who wish to live independently in their own home for as long as possible. The proposed system facilitates the direct analysis of energy usage by employing data classification techniques to identify any anomalies in energy consumption. The system itself performs a modular adaptation that changes the way in which data is analysed and presented, to suit both an organisation´s or an individual´s needs, based on their condition.
Keywords :
"Smart meters","Monitoring","Object recognition","Smart grids","Dementia","Wide area networks","Companies"
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.339