Temperature and Humidity Control of Smart Cage Bee Honey Based on Internet of Things

V. A. Wardhany, Alfin Hidayat, Subono, Mirta Jhoswanda
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引用次数: 2

Abstract

Bees are honey-producing insects that have long been known to humans. Until now, it is very common in some areas that farmers keep honey bees to use their honey for personal consumption as well as for mass production for sale. In the care and maintenance of bees, of course, is not an arbitrary thing. There are several factors that need to be considered so that the bee can produce honey properly and optimally. These factors are the state of Temperature and Humidity of the beehive itself. Extreme temperatures and humidity affect the pattern of making honey and the yield of honey itself. Therefore, the authors designed a prototype of a tool for monitoring humidity and weight of the frame and automatic temperature control using Fuzzy logic. The Fuzzy logic is an appropriate way to map an input space into the output space so that in the system to maintain the temperature of the bee stable so that it can be optimally carried out in greater detail. The result of this system test is the fuzzy logic can read the temperature state is more or less than the optimal vulnerable and the reverse is again at the optimal temperature that is between 32°C-33°C. Known in the test, the system can steer from the temperature of 31°C to 32.1°C in vulnerable time 1 min 15 seconds as well as at a temperature 34.4°C to the temperature of 32.9°C successfully in the vulnerable time 1 minute 5 seconds.
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基于物联网的智能蜂箱蜂蜜温湿度控制
蜜蜂是人类早就知道的产蜜昆虫。到目前为止,在一些地区,农民饲养蜜蜂用于个人消费和大规模生产销售的蜂蜜是非常普遍的。在照顾和保养蜜蜂方面,当然不是一件随意的事情。有几个因素需要考虑,以便蜜蜂可以适当和最佳地生产蜂蜜。这些因素是蜂巢本身的温度和湿度的状态。极端的温度和湿度会影响蜂蜜的制作方式和蜂蜜本身的产量。因此,作者设计了一个基于模糊逻辑的框架湿度、重量监测和温度自动控制工具的原型。模糊逻辑是一种将输入空间映射到输出空间的合适方法,以便在系统中保持蜜蜂的温度稳定,从而可以更详细地进行优化。本系统测试的结果是,模糊逻辑可以读取的温度状态是大于或小于最优易受伤害的,反之也是在32℃-33℃之间的最优温度。在测试中,该系统可以在1分15秒内从31°C的温度转向32.1°C,并在1分5秒内成功地从34.4°C转向32.9°C。
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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