Sensor placement for BPM analysis of buildings in use to implement energy savings through building performance simulation

Abstract

The article presents the process of placing sensors in a multi - sensorial network, dynamically incorporating a large number of heterogeneous input sources able to provide accurate monitoring data related with sp ace occupancy, energy consumption, comfort levels and environmental quality.To evaluate this multi – sensorial network on real life conditions and on the specific business domains addressed by the Project, this sensing network will be based on heterogeneous sensors (light, motion, CO2, CO, temperature, relative humidity, existing infrastructure on video - surveillance, depth/range image generators, energy consumption, etc.) in order to provide an all - inclusive perspective of covered spaces. The article is part of a global Project to develop privacy - preserving human detection and tracking toolkit , whith the implementation of algorithms for calibration of multiple - depth sensors in the architectural sketch up of a building (BIM), and the development of techniques for extraction of occupancy - related statistics in the spatio - temporal domain of a building. It is an architectural prototype agile and scalable, integrated with the extended LS middleware, que permite the training and calibration as decision making toolkit for Facility Managers.