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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

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Abstract

A SMART SAFETY HELMET FOR DETECTING HAZARDOUS EVEVTS IN MINING INDUSTRY

R.Subbulakshmy, M. Malarvizhi*, S. R. Shiva Sakthi and E.Thenamuthu

ABSTRACT

A smart safety helmet has been designed which can detect hazardous and abnormal events in the mining industry. In this paper, we have considered three main types of hazards such as air quality, helmet removal, and collision. The first thing is to detect whether any poisonous gas(Carbon Dioxide (CO2),Hydrogen (H2),Hydrogen Sulphide (H2S),Oxygen (O2),Methane (CH4), Nitrogen (N2), Nitrogen Dioxide (NO2),Sulphur Dioxide (SO2) is present in the work place. If present, it will measure and display the concentration level of the gas to the control room. The second event is to ensure that the miner is wearing the helmet. If not, the miner will be alerted by means of alarm and a message (Wear Helmet) will be displayed in the LCD screen. The third hazardous event is described as an event when miner is struck by any object against the head with a force exceeding a value of 1000 on the HIC (Head Injury Criteria). MEMS (Micro Electro Mechanical Sensor) are used to measure the acceleration of the head and the HIC is calculated in software. The layout of the visualisation software was completed. Tests were successfully conducted to calibrate the MEMS. PCB?s were designed and a prototype board is developed. The whole software development is done based on C# programming language in order to control the sensors involoved and to do the calculations with the measured values.

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