Rancang Bangun Sistem Monitoring Kebisingan pada Ruangan dengan Sensor Suara GY-MAX4466 Berbasis Internet of Things (IoT)

Lia Wilani, Mardian Peslinof, Jesi Pebralia
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引用次数: 1

Abstract

This research is conducted on the design of noise monitoring system in rooms using the GY-MAX4466 sound sensor based on the Internet of Things. The aim of the research is to produce a noise monitoring system that can measure in real time and has measurement characteristics. The method used consists of problem analysis, design, tool assembly, characteristic test and test result data analysis. The characteristics include accuracy, precision, and overall system test. The resulting monitoring system consists of a monitoring tool and a user interface blynk on a smartphone. The design of the monitoring system utilizes the GY-MAX4466 sound sensor to detect sound intensity level and the NodeMCU ESP8266 as a microcontroller that can exchange data via the internet network. Information on the noise level in the room can be viewed through the blynk application. The results of the test show the system has an accuracy value of  97.58 % and  a precision value of 97.84%. Overall, the system has been successfully implemented. In its implementation in the Electronics, Robotics and Automation Laboratory, the system can effectively monitor noise at a distance of 2 meters.

本研究采用基于物联网的GY-MAX4466声音传感器进行房间噪声监测系统的设计。研究的目的是研制一种能够实时测量并具有测量特性的噪声监测系统。所采用的方法包括问题分析、设计、工具装配、特性测试和测试结果数据分析。其特点包括准确性、精密度和整体系统测试。由此产生的监控系统由一个监控工具和智能手机上的一个用户界面组成。监测系统的设计利用GY-MAX4466声传感器检测声强级,利用NodeMCU ESP8266作为微控制器通过internet网络进行数据交换。可以通过blynk应用程序查看房间内噪音水平的信息。测试结果表明,该系统的准确度值为97.58%,精密度值为97.84%。总体而言,该系统已成功实施。在电子、机器人和自动化实验室的实施中,该系统可以有效地监测距离为2米的噪声。
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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