Domestic Chicken Chick's Banda using Neuro fuzzy logic technique for reducing energy cost

Patrick O. M. Ogutu, N. Oyie, W. Ojenge
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Abstract

This paper is about an automatic chicken chicks' Banda temperature and humidity controller, which uses the environmental conditions to measure and control the cage humidity and temperature. A mathematical model of the system is developed, a prototype humidity and temperature controller using Arduino/display unit is designed and MATLAB simulation of neuro fuzzy logic to analyze the behavior. The results depict that the temperature and humidity varies between 29°C to 32°C and 45 to 48 % respectively. The response of the prototype is able to act with energy saving of 3800J in 200 seconds. The issue of high cost incurred in energy consumption is addressed hence contribution to sustainable food and nutritional security by ensuring huge supply of healthy chicks using less energy and power. The energy cost was studied and it resulted into great saving with remarkable improvement in efficiency. The optimum performance of the chicken Banda is realized.
家鸡鸡班达采用神经模糊逻辑技术降低能耗
本文设计的是一种自动鸡笼班达温湿度控制器,它利用环境条件对鸡笼湿度和温度进行测量和控制。建立了系统的数学模型,设计了基于Arduino/显示单元的温湿度控制器原型,并利用MATLAB仿真神经模糊逻辑对其行为进行了分析。结果表明,温度和湿度分别在29 ~ 32℃和45% ~ 48%之间变化。样机响应可在200秒内节能3800J。解决了能源消耗产生的高成本问题,从而通过使用更少的能源和电力确保大量健康雏鸡的供应,为可持续粮食和营养安全做出贡献。对能源成本进行了研究,节约了大量能源,提高了效率。实现了鸡班达的最佳生产性能。
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