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Positioning of sensors for control of ventilation systems in broiler houses: a case study

机译:肉鸡舍通风系统控制传感器的位置:案例研究

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Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS + and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses.
机译:密集的家禽养殖场采用了通风系统,以控制环境条件和肉鸡的热舒适性。通风系统基于环境数据运行,特别是通过温度和相对湿度传感器测量的数据。传感器放置在设施的不同位置。传感器的质量,数量和位置是实现系统高效性能的关键因素。因此,与控制器关联的传感器的战略性定位可以支持设施内部微气候的维护和管理。这项研究旨在确定传感器定位的三个最有代表性的点,以便在夏季从12h00到15h00的关键时期支持通风系统。在生产周期的最后阶段,在四个不同的隧道通风谷仓中测量温度,相对湿度和风速。对这些数据进行描述性分析。还计算了温度和湿度指数(THI)。然后,通过GS +对THI进行地统计学分析,并通过普通克里格法确定传感器的位置。该方法能够在案例研究(巴西东南部)中检测出最具代表性的传感器定位点。结果表明,这种战略定位将有助于控制者在研究期间(最热的微气候)更好地推断微气候(在巴西被认为是至关重要的)。此外,这些结果允许基于对肉鸡舍通风系统的24小时监控,为决策支持系统制定未来的路线图。

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