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旋转式挤奶厅模型的开发、验证与展示。

Development, validation, and demonstration of the rotary parlor model.

作者信息

Prendergast Ryan, Upton John, Buckley Fergal, Murphy Michael D

机构信息

Teagasc Livestock Systems Department, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, County Cork, P61 P302, Ireland; Department of Process, Energy and Transport Engineering, Munster Technological University, Cork, T12 P928, Ireland.

Teagasc Livestock Systems Department, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, County Cork, P61 P302, Ireland.

出版信息

J Dairy Sci. 2025 Apr;108(4):3780-3795. doi: 10.3168/jds.2024-25765. Epub 2025 Mar 3.

DOI:10.3168/jds.2024-25765
PMID:40043774
Abstract

Rotary milking systems have potential to reduce the labor requirement of the milking process on dairy farms. However, there is a need to identify the most effective strategies that lead to consistently efficient milkings. We developed a mechanistic, process-oriented model that accurately simulates the milking efficiency of rotary parlors operating under a diverse range of conditions. The rotary parlor model (RPM) was developed using milking efficiency data collected from a sample of commercial Irish dairy farms (n = 10) and the Teagasc Moorepark Dairy Research Farm (Teagasc, Ireland). To validate the performance of RPM, simulated milking process times (MPT, s) and efficiency metrics (cows milked per hour [cows/h], liters of milk harvest per hour [L/h], MPT per cow [s/cow]) were compared with empirical data recorded on the Moorepark Dairy Research Farm across 2 recording periods. Model validation produced mean absolute percentage error values of 3.3%, 3.5%, and 2.9% for MPT, cows/h, and L/h metrics, respectively. We defined rotation time as the time taken for the rotary platform to pass 1 bail position (s/bail); this value decreases as the platform rotates faster. The functionality of RPM was demonstrated by simulating the milking efficiency (cows/h) of parlor sizes ranging from 40 to 120 clusters, operating at rotation times of 5 to 25 s/bail. We found that the effect of decreasing rotation time (≤15 s/bail) on milking efficiency was greater for larger parlors (50, 60 clusters) than lower-sized parlors (40 clusters). For example, decreasing rotation time from 15 to 10 s/bail increased milking efficiency by 3% for a 40-cluster parlor, compared with 26% for a 60-cluster parlor. As rotation time decreased for all parlor sizes, there was an increased occurrence of go-around cows at milking (i.e., cows with a milking time longer than the platform time, thereby requiring additional rotations). A sensitivity analysis investigated the effect of automatic cluster remover (ACR) threshold change from 0.2 to 0.8 kg/min on the milking efficiency of 40-, 50-, and 60-cluster parlors operating at rotation times of 6, 8, 10, 12, 16, and 20 s/bail for a 300- and 600-cow herd. Using increased ACR thresholds reduced the milking time duration of individual cows. This lowered the number of go-around cows, and thereby rotations required at milking, as a result, milking efficiency increased. The ACR threshold increase effect was largest among lower-sized parlors with lower rotation times. For example, increasing the ACR threshold from 0.2 to 0.8 kg/min for a 40-cluster parlor with a rotation time of 12 s/bail lowered MPT by 17%. In contrast, for a 60-cluster parlor operating in the same conditions, the increased ACR threshold reduced MPT by only 5%. Optimal go-around cow occurrence ranged between 2% to 20%, depending on herd size, parlor size, rotation time and ACR threshold. Through the development and application of RPM, this study provides greater understanding into the effects of parlor size, rotation time, rotation numbers, herd milking characteristics, ACR thresholds, and go-around cows on rotary milking efficiency.

摘要

旋转式挤奶系统有潜力降低奶牛场挤奶过程中的劳动力需求。然而,有必要确定能始终保持高效挤奶的最有效策略。我们开发了一个基于机械原理、面向过程的模型,该模型能准确模拟在各种条件下运行的旋转式挤奶厅的挤奶效率。旋转式挤奶厅模型(RPM)是利用从爱尔兰商业奶牛场样本(n = 10)和蒂亚斯卡斯摩尔帕克奶牛研究农场(爱尔兰蒂亚斯卡斯)收集的挤奶效率数据开发的。为了验证RPM的性能,将模拟的挤奶过程时间(MPT,秒)和效率指标(每小时挤奶牛数[cows/h]、每小时收获的牛奶升数[L/h]、每头奶牛的MPT[s/cow])与摩尔帕克奶牛研究农场在两个记录期记录的经验数据进行了比较。模型验证得出,MPT、cows/h和L/h指标的平均绝对百分比误差值分别为3.3%、3.5%和2.9%。我们将旋转时间定义为旋转平台经过一个挤奶位所需的时间(秒/挤奶位);随着平台旋转速度加快,该值会降低。通过模拟40至120个挤奶簇的挤奶厅在5至25秒/挤奶位的旋转时间下的挤奶效率(cows/h),展示了RPM的功能。我们发现,对于较大规模的挤奶厅(50、60个挤奶簇),降低旋转时间(≤15秒/挤奶位)对挤奶效率的影响比较小规模的挤奶厅(40个挤奶簇)更大。例如,对于40个挤奶簇的挤奶厅,将旋转时间从15秒/挤奶位降至10秒/挤奶位,挤奶效率提高了3%,而对于60个挤奶簇的挤奶厅,挤奶效率提高了26%。随着所有规模挤奶厅的旋转时间减少,挤奶时出现回头牛(即挤奶时间长于平台旋转时间,因此需要额外旋转的奶牛)的情况增多。一项敏感性分析研究了自动脱杯器(ACR)阈值从0.2千克/分钟变化到0.8千克/分钟对300头和600头牛群在6、8、10、12、16和20秒/挤奶位的旋转时间下运行的40、50和60个挤奶簇的挤奶厅挤奶效率的影响。提高ACR阈值可缩短单头奶牛的挤奶持续时间。这减少了回头牛的数量,从而减少了挤奶时所需的旋转次数,结果挤奶效率提高。ACR阈值增加的影响在旋转时间较短的较小规模挤奶厅中最大。例如,对于旋转时间为12秒/挤奶位的40个挤奶簇的挤奶厅,将ACR阈值从0.2千克/分钟提高到0.8千克/分钟,MPT降低了17%。相比之下,对于在相同条件下运行的60个挤奶簇的挤奶厅,ACR阈值提高仅使MPT降低了5%。根据牛群规模、挤奶厅规模、旋转时间和ACR阈值的不同,最佳回头牛出现率在2%至20%之间。通过RPM的开发和应用,本研究更深入地了解了挤奶厅规模、旋转时间、旋转次数、牛群挤奶特性、ACR阈值和回头牛对旋转式挤奶效率的影响。

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