Smart sensor design for power signal processing

Abstract

Ubiquitous systems used to improve quality of life include integration of multiple data and knowledge representing behaviour of people. These systems produce several sources of raw data (environmental, wearable sensors) to produce new processed data (behaviour patterns, people actions). In the domestic environment, daily and frequent people activities use all kinds of electric devices (appliances). Connection and disconnection of these devices provide useful data to know patterns of use, usual or unusual events and people behaviour. Currently, specialised systems for power load and monitoring are costly to install. This work proposes the design and development of low cost and embedded hardware tools (smart sensors) to obtain power consumption information used on ambient assisted living services. Non-intrusive load monitoring (NILM) design based in Wavelet transform (WT) processing, and Field- Programmable Gate Arrays (FPGAs) hardware implementation, provide the necessary support to develop this kind of embedded devices.