Occupancy Estimation in Smart Buildings Using Iot-Based Techniques

Abstract

Nowadays, the research and innovation of smart buildings has been gaining increasingly attentions in building construction and management society. Among a variety of emerging technologies, demand driven HVAC (i.e., heating, ventilation and air conditioning) operation is promising to significantly reduce the building operation cost, and ultimately to achieve sustainable smart buildings. The “Internet of Things (IoT)” is about physical items talking each other, machine to machine communications and person to computer communications will extended to “things”. The Key technologies that drive future IoT related to Smart sensor technologies including Nanotechnology, WSN and Miniaturization .The integrated network architecture and the interconnecting mechanisms for reliable measurements of parameters by smart sensors and transmission of data via internet.  In most cases these building HVAC systems run on fixed schedules and do not employ any fine grained control based on detailed occupancy information. In this paper we present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual homes. Our presence sensor is low-cost, wireless, and incrementally deployable within existing buildings. The goal of this analysis is to help designers to select the most relevant parameters to control the energy consumption of buildings according to their context, selecting them as input data of the management system. Following this approach, we select a reference smart buildings with different contexts, and where our automation platform for energy monitoring is deployed.