Development of River Flow and Water Quality Using IOT-based Smart Buoys Environment Monitoring System

JIF Jurnal Ilmu Fisika Pub Date : 2023-09-22 DOI:10.25077/jif.16.1.1-12.2024

Subhan Fahmi Nasution, Harmadi Harmadi, Suryadi Suryadi, Bambang Widiyatmoko

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Abstract

Efficient and accurate river water quality monitoring is needed to support laboratory testing based on on-site sampling. Therefore, we have developed a monitoring system for river flow and water quality using sensor-equipped buoys and the Internet of Things (IoT) concept. An ESP32 NodeMCU microcontroller integrated with WiFi and compatible with Arduino IDE is used in the system. The buoy is equipped with GPS to determine the position and flow speed and sensors to measure water quality parameters of pH and temperature. Data on position, flow velocity, and water quality parameters are transmitted over a WiFi network using the MQTT protocol. The data is recorded by the buoy and uploaded and displayed on the adafruit.io platform. Positioning was done by comparing the values displayed on the Neo-6M GPS with the Maps application on the smartphone. The results show that the GPS coordinate values are accurate. The water quality parameter values obtained have an error rate of 3.3% for the pH sensor and 1.02% for the temperature sensor. Thus, the system we have developed has the potential to be used as a substitute for field sampling-based river water quality monitoring systems.

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基于物联网的智能浮标环境监测系统的河流流量和水质开发

为了支持基于现场采样的实验室检测，需要高效、准确的河流水质监测。因此，我们开发了一个监测河流流量和水质的系统，使用配备传感器的浮标和物联网(IoT)概念。系统采用ESP32 NodeMCU微控制器，集成WiFi，兼容Arduino IDE。浮标配有GPS来确定位置和流速，以及传感器来测量pH和温度等水质参数。位置、流速和水质参数的数据使用MQTT协议通过WiFi网络传输。这些数据被浮标记录下来，上传并显示在水果上。io平台。定位是通过比较Neo-6M GPS上显示的值和智能手机上的地图应用程序来完成的。结果表明，GPS定座值是准确的。得到的水质参数值，pH传感器的误差率为3.3%，温度传感器的误差率为1.02%。因此，我们开发的系统有可能被用作以实地采样为基础的河流水质监测系统的替代品。

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JIF Jurnal Ilmu Fisika

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6 weeks