Scalable infrastructure for remote reading of electric energy meters
Speaker(s) : Carlos Alberto Bazán Prieto (Universidad Central “Marta Abreu” de Las Villas, Cuba)
Abstract : In Cuba, electricity meters are read manually. A reader from the service provider visits each house to read the meters. There are limitations in this reading process, due to closed houses, readings out of date or breakages in the reading devices. The user has to read the consumption by visually inspecting the meter. It is currently not possible to replace existing meters with smart meters, nor to implement an advanced metering infrastructure, due to the high costs involved. Therefore, a project is being developed to create an infrastructure for the automated reading of electricity meters, in which a device is added to the existing electricity meter for differentiated reading according to consumption schedules, storage of consumption data and wireless communication. With this, the electricity meter is equipped with wireless communication to link it to the Internet of Things. This automates the reading process. The service provider's reader can use a mobile device to serve as an interface between the electricity meter and the data center, using the public data network. The user also has access to the electricity meter reading wirelessly via a web service, providing extensive consumption statistics, including historical data, tariffs and consumption perspectives, facilitating an appropriate consumption culture and ultimately leading to a reduction in electricity consumption.
Bio : Carlos Alberto Bazán Prieto received the bachelor and master degrees from Central University “Marta Abreu” of Las Villas (UCLV), Cuba, in 1989 and 1998 respectively. From 2009 to 2011, he was PhD. student at the Universidad de Alcalá, Madrid, Spain. In 2013 he received the PhD. degree (cum laude) in Universidad de Alcalá, Madrid, Spain. Since 1990 he is professor at Electronic and Telecommunications department at UCLV. Since 2015, he has been head of the Electronics and Telecommunications Department. His research interests are in the area of signal processing, the application of microcontrollers in telecommunications and IoT.