Real Time Monitoring & Analyzation Of Hazardous Parameters In Underground Coal Mines Using Intelligent Helmet System

Akshunya Mishra, Saksham Malhotra, Ruchira, P. Choudekar, H. Singh
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引用次数: 11

Abstract

Coal mining has always been a necessary evil. We need the coal for various operations, especially electrical power generation. However mining the coal has proven to be very dangerous and has caused many accidental deaths over the years. Keeping this in mind we have designed an intelligent system which can be used on helmets of these underground coal miners and can monitor/analyze a few major hazardous parameters found in these mines in real time. This includes humidity, temperature and gas contents such as methane and sulfur dioxide. These parameters, if above a certain level, can cause choking, suffocation, flooding, gas poisoning, roof collapse or explosions. Our system can detect these parameters, analyze them in real time and alert the ground control and the worker about the situation using a buzzer. Compact sensors and radio frequency modules are used to ensure practicality.
基于智能头盔系统的煤矿井下危险参数实时监测与分析
煤矿开采一直是一种不可避免的罪恶。我们需要煤来进行各种操作,特别是发电。然而,开采煤炭已被证明是非常危险的,多年来造成了许多意外死亡。考虑到这一点,我们设计了一个智能系统,可以使用在这些地下煤矿工人的头盔上,可以实时监测/分析这些矿井中发现的一些主要危险参数。这包括湿度、温度和气体含量,如甲烷和二氧化硫。这些参数,如果超过一定水平,可能导致窒息,窒息,洪水,煤气中毒,屋顶坍塌或爆炸。我们的系统可以对这些参数进行实时检测和分析,并通过蜂鸣器向地面控制人员和工作人员通报情况。紧凑的传感器和射频模块的使用,以确保实用性。
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