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Optimization of water quality monitoring based on fuzzy algorithms

机译:基于模糊算法的水质监测优化

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Water quality resembles physical, chemical and biology features of the water. Water quality level is used to determine the suitability and safeness for general usage. Hence in this study, fuzzy algorithms are developed to evaluate water quality based on three features namely power of hydrogen (pH), dissolved oxygen (DO) as well as temperature. Firstly, sensors of pH and DO are connected to stamp circuit that acted as universal asynchronous receiver / transmitter (UART) whilst temperature sensor is connected to a microcontroller. Next, fuzzy algorithms are developed based on water quality standards from the Department of Environmental Malaysia for decision making. Thus, both hardware and software are integrated and initial findings showed that the proposed system is apt for monitoring of water quality.
机译:水质类似于水的物理,化学和生物学特征。水质等级用于确定一般用途的适用性和安全性。因此,在这项研究中,开发了基于三个特征的模糊算法来评估水质,即氢的功率(pH),溶解的氧(DO)以及温度。首先,pH和DO传感器连接到用作通用异步接收器/发送器(UART)的冲压电路,而温度传感器连接到微控制器。接下来,根据马来西亚环境部的水质标准开发了模糊算法,用于决策。因此,硬件和软件都集成在一起,初步发现表明,该系统很适合监测水质。

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