基于模糊逻辑方法的辣木叶烘箱系统

Y. Fauzan, Kartika Kartika
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引用次数: 0

摘要

辣木树通常作为活栅栏种植,沿着稻田或水田种植,它们也有绿色植物的功能。此外,辣木叶也是一种有效的药用植物,利用了辣木植物的所有部分,从树皮、种子、叶子到根,经过干燥、枯萎和酶氧化等加工操作。辣木果的加工是通过干燥过程进行的,旨在加快辣木叶的加工速度。采用无控制干燥和模糊规则干燥两种方法对辣木叶进行干燥试验,并对两种方法进行比较,得出结论。在温度为60°C的条件下,采用模糊控制进行干燥,以确定干燥后辣木叶的失重程度。对辣木叶的总体试验结果进行了两次试验。也就是说,180克的辣木叶在60°C和180克的辣木叶在50°C下得到相同的结果。采用模糊控制,温度和时间随龄期百分比下降50%。该系统由k型热电偶温度传感器,称重传感器,管状加热器,风扇,固态继电器,键盘,I2C LCD和Arduino mega支持。在鱼干机中必须控制两个输入变量:温度和重量。在可变温度下,输入是k型热电偶传感器。输出是一个SSR,控制管加热器,使鱼烘干机的温度匹配设定点温度。模糊逻辑方法控制干燥鱼不超过设定值温度时的温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moringa Leaf Dryer Oven System Using Fuzzy Logic Method
Moringa trees are often planted as living fences and along rice fields or paddy fields, and they also function as green plants. In addition, Moringa leaves are also known as an efficacious medicinal plant by utilizing all parts of the Moringa plant, starting from the bark, seeds, and leaves to the roots and undergoing processing operations such as drying, wilting and enzymatic oxidation. The processing of Moringa goes is carried out with a drying process that aims to speed up the processing of Moringa leaves. Tests on drying Moringa leaves are carried out in 2 ways, namely drying without using controls and drying using fuzzy rules, then, from the two tests, a comparison will be made, and conclusions will be drawn. This drying was carried out to determine how much weight loss was in dried Moringa leaves using fuzzy control with a temperature of 60 °C. The overall test results for Moringa leaves were carried out with two tests. Namely, the same results will be obtained from 180-gram Moringa leaves at 60°C and 180-gram Moringa leaves at 50°C. Temperature and time with a decrease in the percentage of age by 50% using fuzzy control. This system is supported by a type k thermocouple temperature sensor, load cell sensor, tubular heater, fan, solid state relay, keypad, I2C LCD, and Arduino mega. Two input variables must be controlled in a fish dryer: temperature and weight. At variable temperatures, the input is a type k thermocouple sensor. The output is an SSR that controls the tube heater so that the temperature of the fish dryer matches the set-point temperature. The fuzzy logic method controls the temperature when drying fish does not exceed the set point temperature.
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