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Full-Automated Acquisition System for Occupancy and Energy Measurement Data Extraction

机译:用于占用和能量测量数据提取的全自动采集系统

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There is an ongoing research on reconciling the difference between predicted/simulated and actual energy consumption in buildings (either in design or in operational phase). In this paper a fully automated acquisition system for occupancy and energy measurement data is going to be presented. The proposed system comprises a depth camera cloud and RFID for occupancy extraction, a network of CO_2 and temperature sensors and separate energy meters for HVAC, lighting, wall sockets and equipment. The extracted occupancy and energy consumption measurements of the proposed system could be utilized in a variety of applications, such as real-time control strategies, performance simulation analysis, high semantic occupancy and energy consumption information extraction, even business processes analysis and simulation. The proposed system has been evaluated to a large scale experiment, and its accuracy and robustness will prove its significance to the occupancy simulation processes, as well as to any kind of application that exploits occupancy.
机译:有关于协调建筑物中预测/模拟和实际能耗之间的差异的持续研究(在设计或运营阶段)。在本文中,将呈现用于占用和能量测量数据的全自动采集系统。所提出的系统包括深度摄像机云和RFID,用于占用提取,CO_2网络和温度传感器网络,以及用于HVAC,照明,墙壁插座和设备的单独的能量表。所提取的系统的提取占用和能量消耗测量可以在各种应用中使用,例如实时控制策略,性能仿真分析,高语义占用和能耗信息提取,即使是业务流程分析和仿真。所提出的系统已经评估为大规模的实验,其准确性和鲁棒性将证明其对占用仿真过程的重要性,以及任何利用占用的应用程序。

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