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Gray-box virtual sensor of the supply air temperature of air handling units

机译：灰盒虚拟传感器的供应空气处理装置

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摘要

Building automation system uses several networks of sensors for continuous monitoring of building control systems for energy-efficient operation. Physical sensors are costly and need frequent calibration. The accurate measurement of supply air temperature from the air handling units (AHUs) has an important effect on the control of cooling coil, supply air temperature and supply airflow rate delivered to rooms. In the case when such a sensor gives erroneous measurements, a virtual sensor can replace temporarily the faulty sensor, and it can also be used for automated fault detection of HVAC systems. This article proposes two different gray-box (models A and B) for predicting the supply air temperature of air handling units that were developed and tested using the measurements from two buildings. The models require the measurement of three variables (mixed air temperature, cooling coil valve signal, and chilled water inlet temperature). The results of both models are discussed and compared. A sliding window approach for cross-validation of the models was also carried out. The developed gray-box models A and B could be integrated into BAS for virtual measurement, virtual calibration, and fault detection in HVAC systems.
机译：楼宇自动化系统使用多个传感器网络，以便连续监控建筑控制系统，以节能运行。物理传感器昂贵并且需要频繁校准。来自空气处理单元（AHU）的供应空气温度的精确测量对冷却盘管的控制具有重要影响，供应空气温度和供应气流速率。在这种传感器提供错误测量的情况下，虚拟传感器可以暂时替换故障传感器，也可用于HVAC系统的自动故障检测。本文提出了两种不同的灰度箱（型号A和B），用于预测使用来自两个建筑物的测量结果开发和测试的空气处理单元的供应空气温度。该模型需要测量三个变量（混合空气温度，冷却线圈阀信号和冷却水入口温度）。两种模型的结果都是讨论并进行比较。还执行了用于模型的交叉验证的滑动窗口方法。开发的灰度盒型号A和B可以集成到HVAC系统中虚拟测量，虚拟校准和故障检测的BAS中。

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