一种智能气体泄漏探测器,具有智能警报和预测,使用物联网

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
R. GargiN, India Mlmce
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引用次数: 0

摘要

物联网以唯一标识的对象及其在类似互联网结构中的虚拟表示。在这个项目中,主要目的是通过互联网连接来检测管道下的燃气管道泄漏,并每天进行监测。在提出的系统中,机器人沿着金属管道不断移动,它不断监测任何气体泄漏,在检测时,它使用一个接口GPS传感器来传输检测到的泄漏的位置。我们有一个完全自动化的昆虫机器人,它随着燃气管道移动,以低预算立即检测到燃气泄漏。这个工具包是一个演示项目,如何检测泄漏。我们也可以在工业应用中使用它来检测大型套件的管道泄漏。物联网在其中扮演着重要的角色,因为我们将通过互联网看到云存储中的位置。还有管道内部的大气温度。本文旨在开发利用电子传感器对气体泄漏进行持续监测的系统。这些数据通过互联网上的实时馈送实时提供。这些数据有助于轻松定位紧急情况的根本原因。本文提出了一种RFID和传感器在智能安防机器人导航系统中的实现方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN INTELLIGENT GAS LEAKAGE DETECTOR WITH SMART ALERT AND PREDICTION USING IoT
The internet of things to uniquely identified objects and their virtual representations in an Internet-like structure. In this project, the main aim is to detect gas line leakage in under pipeline through internet connectivity and monitoring it daily In the proposed system, the robot keeps moving along the metal pipe it keeps monitoring for any gas leakage, on detection it uses an interface GPS sensor to transmit the location of the leakage detected we have a fully automated insect-like a robot that moves with the gas pipe and detects gas leakages instantly at a low budget. This kit is a demo project that how is leakage is been detecting. We can also use this in industrial applications for detecting pipeline leakages with large size kit. The IoT plays a major role in this because we are going see the location in cloud storage through the internet. And also the values of temperature of the atmosphere present inside the pipeline. This proposed paper is aimed at developing that constantly monitors that gas leak with the help of the electronic sensors. This data is made available real-time through real-time feeds over the internet. This data helps in easily locating the root cause of the emergency condition. This paper proposes an implementation of RFID and sensors in the smart security robot navigation system.
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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