To the Justification of Algorithms for the Climate Control Poultry House

A. Sklyar, M. Postnova
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Abstract

The diversity of climatic zones in Russia has no analogues in the world. This fact testifies to the diversity of climate control in poultry farms located at different natural latitudes. Taking into account the fact that twenty-two regions in Russia have “comatose” climatic zones, and the decrease in temperature on the tributary to remove heat surpluses should be 3-4 0C lower, this imposes significant requirements on the microclimate system of poultry houses. On this basis, the algorithms of transition periods (spring-autumn) are proposed which are calculated to remove excess moisture and technical means selected for winter and summer in the Russian Federation. Techniques of optimization algorithm for climate control in poultry houses introduced domestic and foreign companies in the poultry farms supplying micro-climatic equipment in Russia. The practice of rapid calculations of the microclimate on the” average “ indicators leads to overspending of energy costs, it is one of the reasons that the bird does not reveal the potential for productivity. We proved that the use of optimized microclimate control algorithms solves the problem of energy cost overruns and increases the productivity of poultry farms.
鸡舍气候控制算法的论证
俄罗斯气候带的多样性是世界上无可比拟的。这一事实证明了位于不同自然纬度的家禽养殖场气候控制的多样性。考虑到俄罗斯有22个地区有“昏睡”气候带这一事实,并且支流的温度下降应该降低3-4摄氏度,以消除热量过剩,这对鸡舍的小气候系统提出了重大要求。在此基础上,提出了用于去除多余水分的过渡时期(春秋)算法和俄罗斯联邦冬季和夏季选择的技术手段。在俄罗斯提供微气候设备的家禽养殖场中,介绍了国内外家禽养殖场气候控制的优化算法技术。在“平均”指标上快速计算小气候的做法导致了能量成本的超支,这是鸟类没有显示出生产力潜力的原因之一。我们证明,使用优化的微气候控制算法解决了能源成本超支的问题,提高了家禽养殖场的生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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