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首页> 外文会议>International Conference on Advances in Building Technology Vol.1, Dec 4-6, 2002, Hong Kong, China >AUTOMATED COMMISSIONING OF AIR-HANDING UNITS USING FUZZY AIR TEMPERATURE SENSORS
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AUTOMATED COMMISSIONING OF AIR-HANDING UNITS USING FUZZY AIR TEMPERATURE SENSORS

机译：使用模糊的空气温度传感器对空气处理单元进行自动调试

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摘要

Measurement errors can result in faults being incorrectly diagnosed during commissioning. One of the main causes of errors is the use of a single or multi-point sensor to measure the average value of a spatially distributed variable whose distribution changes at different operating conditions. In such cases, the problem is not the accuracy of the sensor itself, but estimation bias. The paper describes a new approach to automating the commissioning of air-handling units based on the use of fuzzy air-temperature sensors whose outputs indicate the measurement uncertainties. The fuzzy sensors are developed from data obtained by simulating the air temperature and flow around the sensing element(s) using a computational fluid dynamics package. The data obtained during commissioning are analysed automatically using generic fuzzy reference models, which describe the behaviour of the air-handling unit when it is operating correctly and when particular faults are present. To assess the benefits of using the fuzzy sensors, automated commissioning tests are performed on the cooling coil subsystem of an air-handling unit. Experimental results are presented, which show that the use of a fuzzy mixed air temperature sensor can reduce the number of false alarms and lead to a more precise diagnosis of any faults.
机译：测量错误可能导致在调试过程中错误诊断故障。造成错误的主要原因之一是使用单点或多点传感器来测量空间分布变量的平均值，该变量的分布在不同的运行条件下会发生变化。在这种情况下，问题不在于传感器本身的准确性，而在于估计偏差。本文介绍了一种基于模糊空气温度传感器的自动化自动化空气处理单元调试的新方法，该传感器的输出指示测量不确定性。模糊传感器是通过使用计算流体动力学软件包通过模拟空气温度和围绕传感元件的流动而获得的数据开发的。使用通用的模糊参考模型自动分析调试过程中获得的数据，该模型描述了空气处理单元正常运行以及出现特定故障时的行为。为了评估使用模糊传感器的好处，在空气处理单元的冷却盘管子系统上执行了自动调试测试。实验结果表明，使用模糊混合空气温度传感器可以减少误报的次数，并可以更精确地诊断任何故障。

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