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Off-the-shelf Non-Intrusive Load Monitoring Devices Utilised in a Low Activity Detection Service


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There is a growing awareness for the need to provide low cost solutions for the care of the elderly and in particular to allow them to keep living independent lives. In parallel to this there has also been significant advances in a number of technical areas including 1) monitoring electricity consumption for the purpose of reducing power costs, 2) non-intrusive load monitoring (NILM), 3) using sensors to determine activities of daily living and 4) cloud computing. The purpose of this work was to demonstrate that it is possible to use a readily available consumer off the shelf electricity monitor to provide a low intrusive activity monitor for older persons. This work uses the Design Science Research Methodology and builds on the results of our previous work that used raw electricity usage data. In this work we are trailing the use of a meter that uses NILM to identify individual appliances in the home. The information on appliance use was analysed by a cloud base program and alerts were sent to the carer when lower than expected activity was detected. Participants both in this work and those reported in the literature have mentioned the annoyance of having multiple sensors in a home, especially if they emit either constant or flashing light. In contrast NILM allows the use of multiple electrical appliances to be monitored without the need for a large number of sensors to be deployed – just one sensor at the meter or fuse board. The confluence of a number of technologies has enabled the creation of a low intrusive and low cost monitoring system to have become a reality. The initial trial of the system has been shown to be a mostly reliable alternative to a system built on multiple sensors. Based on previous work that involved the deployment of multiple sensors, the new system is expected to be more acceptable as it has the desired attribute of becoming invisible to the user.

Item Type: Journal article
Uncontrolled Keywords: Activities of daily living, non-intrusive load monitoring, elderly, cloud.
Subjects: T Technology > T Technology (General)
Divisions: Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
Depositing User: Tim Hunt
Date Deposited: 28 Jul 2016 23:14
Last Modified: 21 Jul 2023 04:21

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