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

机译:传感器放置,用于正在使用的建筑物的BPM分析,以通过建筑物性能模拟实现节能

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摘要

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.
机译:本文介绍了将传感器放置在多感官网络中的过程,该过程动态地合并了大量的异构输入源,这些源能够提供与空间占用,能耗,舒适度和环境质量有关的准确监控数据。在现实生活条件和项目所涉及的特定业务领域的传感网络上,该传感网络将基于异构传感器(光,运动,CO2,CO,温度,相对湿度,视频的现有基础设施-监控,深度/范围图片生成器,能源消耗等),以提供涵盖空间的全方位视角。本文是一个全球项目的一部分,该项目旨在开发保护隐私的人类检测和跟踪工具包,并在建筑物的建筑草图(BIM)中实施用于校准多个深度传感器的算法,并开发提取技术建筑物的时空域中的占用率相关统计信息。它是一种敏捷且可扩展的体系结构原型,与扩展的LS中间件集成在一起,可以将培训和校准作为Facility Manager的决策工具包。

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