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Modeling and analysis of sensor uncertainty for non-iterative air balancing methods

机译:非迭代空气平衡方法的传感器不确定性建模和分析

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Air balancing must be conducted regularly in air duct systems to maintain accurate air supply and optimal working conditions. The non-iterative air balancing methods are gradually attracting interest for their low cost and high efficiency. The existing non-iterative air balancing methods relies heavily on flow measurement and can be greatly affected by sensor accuracy. To evaluate comprehensively the performance of an air balancing method, the robustness against sensor uncertainty should be considered and quantified appropriately. This paper proposes a mathematical model for non-iterative methods to predict the balancing performance in the presence of sensor uncertainty.
机译:必须定期在风道系统中进行空气平衡,以保持准确的空气供应和最佳的工作条件。非迭代的空气平衡方法因其低成本和高效率而逐渐引起人们的兴趣。现有的非迭代空气平衡方法在很大程度上依赖于流量测量,并且会受到传感器精度的极大影响。为了全面评估空气平衡方法的性能,应对传感器不确定性的鲁棒性应予以考虑并进行适当量化。本文提出了一种用于非迭代方法的数学模型,以预测存在传感器不确定性时的平衡性能。

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