利用基于 arduino 微控制器的火灾和烟雾传感器设计火灾探测系统

Firdaus Firdaus, Yunus Tjandi, Adrian Pratama
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引用次数: 0

摘要

火灾的发生往往是由于煤气泄漏、不小心乱扔烟头或电路短路,导致火势越来越大,造成巨大损失。许多火灾案例都是在火灾已经发生时才被发现,很少能从一开始就被探测到。这项研究旨在通过整合火警和烟雾传感器,开发一种有效的火灾探测系统,并通过 Blynk 平台提供通知。本研究采用原型开发模式进行研发(R&D)。功能测试结果获得了 100% 的展示,表明原型适合使用。测试使用了三个火灾等级和各种距离,结果显示火灾传感器反应良好,传入通知的速度始终保持在 2-3 秒左右。使用 MQ-2 烟雾传感器进行火灾测量的结果表明,烟雾浓度水平检测准确,并能及时通知潜在火灾。这项研究产生了一种检测工具,它能够检测房间内的早期火灾,并提供与物联网(IoT)集成的预警通知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DESIGN OF A FIRE DETECTION SYSTEM USING FIRE AND SMOKE SENSORS BASED ON ARDUINO MICROCONTROLLER
Fires very often occur due to gas leaks, careless throwing of cigarette butts or electrical short circuits which result in the fire getting bigger, causing a lot of losses. Many fire cases are discovered when the fire has already occurred and few can be detected from the start. The research aims to develop an effective system for detecting fires by integrating fire and smoke sensors, as well as providing notifications via the Blynk platform. This research is research and development (R&D) using a prototype development model. The results of the functionality testing obtained a 100% presentation which shows that the prototype is suitable for use. Tests were carried out using three levels of fire levels and various distances, showing good response from the fire sensor with a consistent incoming notification speed of around 2-3 seconds. The results of fire measurements using the MQ-2 smoke sensor show accuracy in detecting smoke concentration levels, with timely notification of potential fires. This research has produced a detection tool that has the ability to detect early fire in a room which can provide warning notifications that are integrated with Internet of Things (IoT).
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