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Effect of Measurement Density on Characterizing Air Velocity Distribution in Commercial Broiler Houses

机译:测量密度对商用肉鸡舍风速分布特征的影响

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摘要

Increasing air velocity of tunnel ventilation systems in commercial broiler facilities improves production efficiency. As a consequence, many housing design specifications require a minimum air velocity in the house. Air velocities are typically assessed with a hand-held anemometer at random locations, rather than systematic traverses. Simultaneous measurement of air velocity at multiple locations in the facility would provide a more accurate estimation of air velocity distribution. The objective of this study was to assess the effect of measurement density on accuracy of estimating air velocity distribution in a tunnel-ventilated broiler production facility. An array of 40 anemometers was placed on a series of transverse cross-sections in a commercial broiler production facility with curtain sidewalls (no birds present) measuring 12.8 × 121.9 m. The house was equipped with ten 121.9 cm exhaust fans. Cross-sectional air velocity measurements were taken along the length of the house in increments of 3.05 m axially. Data were sampled at 1 Hz for 2 min; three 2 min subsamples were obtained at each cross-section. Horizontal plane air velocity distribution maps were generated using 12.19, 6.10, and 3.05 m axial measurement distances between cross-sections at 0.46 m above the litter. Vertical plane air velocity distribution maps were created using 10, 20, and 40 symmetrical sampling points from the original data set. Cross-validation analysis revealed that higher spatial measurement density in the axial direction yielded a higher correlation between observed and predicted values (79%) and lower mean squared prediction error (MSPE; 0.10 m s-1) when compared to decreased sampling densities. Vertical cross-section measurement density comparisons showed a reduction in MSPE and an increase in correlation between observed and predicted values at higher sampling densities in all cases tested excluding one. In the case of improved interpolation results with fewer measurement points, the cross-section demonstrated high variation in air velocity and velocity values being very low. Axial cross-sectional measurement distances of =3.05 m and vertical plane measurement densities of =40 measurement points should be used to accurately characterize air velocity distribution in a 12.8 × 121.9 m broiler production facility. Although more sensors and time are required to collect 40-point cross-sections at 3.05 m, the improved visualization allows better identification of distribution effects caused by equipment placement in the facility.
机译:商用肉鸡设施中隧道通风系统的风速提高可提高生产效率。结果,许多房屋设计规范要求房屋中的最小风速。通常使用手持风速计在随机位置而不是系统遍历下评估风速。同时测量设施中多个位置的风速将提供更准确的风速分布估计。这项研究的目的是评估在隧道通风的肉鸡生产设施中测量密度对估计风速分布准确性的影响。将40个风速计阵列放置在商业肉鸡生产设施中的一系列横截面上,其帘幕侧壁(不存在禽类)的尺寸为12.8×121.9 m。该房屋配有十个121.9厘米排气扇。沿房屋长度沿轴向以3.05 m的增量进行横截面空气速度测量。数据以1 Hz采样2分钟;在每个横截面上获得三个2分钟的子样本。使用垫料上方0.46 m处的横截面之间的轴向测量距离为12.19、6.10和3.05 m生成水平面空气速度分布图。使用原始数据集中的10、20和40个对称采样点创建了垂直平面空气速度分布图。交叉验证分析显示,与降低的采样密度相比,轴向上较高的空间测量密度在观测值和预测值(79%)之间产生更高的相关性,并在较低的均方根预测误差(MSPE; 0.10 m s-1)之间产生更高的相关性。垂直横截面测量密度比较显示,在所有采样情况下(不包括一种情况),在更高的采样密度下,MSPE均降低,观测值与预测值之间的相关性增加。在改进的插值结果和更少的测量点的情况下,横截面显示出空气速度变化很大,而速度值却非常低。轴向横截面测量距离= 3.05 m,垂直平面测量密度= 40个测量点,可用来准确表征12.8×121.9 m肉鸡生产设施中的空气速度分布。尽管需要更多的传感器和更多的时间来收集3.05 m处的40点横截面,但改进的可视化效果可以更好地识别设备放置在设施中引起的分布效果。

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