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Thermal environment sensor array: Part 2 applying the data to assess grow-finish pig housing

机译:热环境传感器阵列:第2部分应用数据以评估生长的猪壳

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Current thermal environment (TE) assessment techniques for controlling livestock and poultry facilities often solely use dry-bulb temperature (T-db) and occasionally relative humidity (RH) as assessment parameters. The TE sensor array (TESA; Part 1) provides the opportunity to simultaneously quantify T-db, RH, airspeed, and black globe temperature, but there are no existing methods incorporating these additional TE parameters to accurately assess the TE based on the thermal demands of the animal. Hence, the goal of Part 2 of this series was to develop a technique for evaluating the TE as a function of mean body temperature difference from thermally comfortable (Delta T-b) using body mass, T-db, RH, and airspeed inputs. Multiple regression analysis of the simulated data from the mechanistic thermal balance model for group-housed growing pigs was used to develop the Housed Swine Heat Stress Index (HS2I), which scales impact of the TE from 0 (thermally comfortable) to 10 (severe heat stress). Further, a wetted skin adjustment parameter was included to enable analysing TE with sprinklers. Simulated and predicted Delta T-b agreed well without wetted skin (R-2 = 0.98; RMSE = 0.061 degrees C) and with wetted skin (R-2 = 0.97; RMSE = 0.054 C). The HS2I was applied to assess the spatiotemporal TE data collected by TESA in the commercial grow-finish facility presented in Part 1. HS2I can be used to evaluate the potential impact of the TE in existing facilities and as a design tool to explore different ventilation and cooling strategies. (C) 2018 IAgrE. Published by Elsevier Ltd. All rights reserved.
机译:用于控制牲畜和家禽设施的当前热环境(TE)评估技术通常仅使用干泡温度(T-DB)和偶尔相对湿度(RH)作为评估参数。 TE传感器阵列(TESA;第1部分)提供了同时量化T-DB,RH,空速和黑球温度的机会,但是没有包含这些附加TE参数的现有方法,以基于热需求准确地评估TE。动物。因此,本系列第2部分的目标是开发一种用于评估TE作为使用体重,T-DB,RH和空速输入的热舒适(Delta T-B)的平均体温差的函数的技术。用于从组成的种植猪的机械热平衡模型的模拟数据的多元回归分析用于开发容纳的猪热应激指数(HS2I),其从0(热舒适)到10(严重热量)的撞击压力)。此外,包括湿润的皮肤调节参数,以使用洒水器分析TE。模拟和预测的δT-B同意,没有湿润的皮肤(R-2 = 0.98; RMSE = 0.061℃)和湿润皮肤(R-2 = 0.97; RMSE = 0.054℃)。应用HS2I以评估由第1部分提供的商业成长的工厂中TESA收集的时空TE数据.HS2I可用于评估TE在现有设施中的潜在影响以及作为探索不同通风的设计工具和设计工具冷却策略。 (c)2018年IAGRE。 elsevier有限公司出版。保留所有权利。

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