Smart Sensor Design for Power Signal Processing

• Published in: Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information Vol. 9454; pp. 387 - 393
• Main Authors: Ferrández-Pastor, Francisco-Javier, Mora-Mora, Higinio, Sanchez-Romero, Jose-Luis, Nieto-Hidalgo, Mario
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2015; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Artificial intelligence; FPGA; Human activity recognition; Information retrieval; Network hardware; Power management; Smart sensor; Wavelet transform
• ISBN: 9783319264004; 3319264001
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-26401-1_36

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.