LPG Gas Leakage Detection Using IOT

International Journal of Scientific Research in Science and Technology ◽

10.32628/cseit2174121 ◽

2021 ◽

pp. 520-526

Author(s):

Arun Manhas ◽

Neeraj Chambyal ◽

Manish Raina ◽

Dr. Simmi Dutta ◽

Er. Prabhjot Singh

Keyword(s):

Smart Phone ◽

Air Conditioner ◽

Leakage Detection ◽

New Approach ◽

Gas Leakage ◽

Gas Detector ◽

Safety Systems ◽

Area Monitoring ◽

Gas Leaks ◽

Oil Gas

Safety plays a major role in today’s world and it is necessary that good safety systems are to be implemented in places of education and work. This work modifies the existing safety model installed in industries and this system also be used in homes and business premises. One of the preventive measures to avoid the danger associated with gas leakage is to install a gas leakage detector at vulnerable locations. A gas detector is a device that detects the presence of gases in an area, often as part of a safety system. Gas Detector where it can sound an alarm to operators in the area where the leak is occurring, giving them the opportunity to fix or leave. This type of device is important because there are many gases that can be harmful to organic life, such as humans or animals. This paper provides a brand new approach to discover LPG discharge supported microcontroller based Node MCU. To alert on Liquefied rock oil Gas (LPG) leakage and preventing any unwanted incident, we need to apply some cautions to discover the discharge. This paper aims to provide a solution to this problem by building a device which will do the area monitoring continuously. The gas sensor provides data to Node MCU, and then the results are displayed as a warning to the user via an Android-based smart-phone device. Other than LPG gas, Air conditioner and refrigerator leaked gases are also harmful in home. Using this device users will be able to prevent accidents that occur due to harmful gas leaks so that accidents can be avoided.

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Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

Remote Sensing ◽

10.3390/rs12010119 ◽

2020 ◽

Vol 12 (1) ◽

pp. 119 ◽

Cited By ~ 2

Author(s):

Chao Xu ◽

Mingxing Wu ◽

Tian Zhou ◽

Jianghui Li ◽

Weidong Du ◽

...

Keyword(s):

Data Processing ◽

Optical Flow ◽

Water Column ◽

Natural Disturbances ◽

Leakage Detection ◽

Acoustic Data ◽

Gas Leakage ◽

Seabed Topography ◽

Image Pixels ◽

Gas Leaks

In recent years, most multibeam echo sounders (MBESs) have been able to collect water column image (WCI) data while performing seabed topography measurements, providing effective data sources for gas-leakage detection. However, there can be systematic (e.g., sidelobe interference) or natural disturbances in the images, which may introduce challenges for automatic detection of gas leaks. In this paper, we design two data-processing schemes to estimate motion velocities based on the Farneback optical flow principle according to types of WCIs, including time-angle and depth-across track images. Moreover, by combining the estimated motion velocities with the amplitudes of the image pixels, several decision thresholds are used to eliminate interferences, such as the seabed, non-gas backscatters in the water column, etc. To verify the effectiveness of the proposed method, we simulated the scenarios of pipeline leakage in a pool and the Songhua Lake, Jilin Province, China, and used a HT300 PA MBES (it was developed by Harbin Engineering University and its operating frequency is 300 kHz) to collect acoustic data in static and dynamic conditions. The results show that the proposed method can automatically detect underwater leaking gases, and both data-processing schemes have similar detection performance.

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Toxic Gas Detection using Low Power Controller with Alert System

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i7655.0881019 ◽

2019 ◽

Vol 8 (10) ◽

pp. 1074-1079

Keyword(s):

Gas Sensor ◽

Gas Sensors ◽

Main Idea ◽

Leakage Detection ◽

Alert System ◽

Gas Leakage ◽

The People ◽

Different Types ◽

Gas Leaks ◽

Closed Environment

The main idea of gas leakage detection is to implement the security system for detection of gas leakage in closed environment. In present scenario, there are many criteria which are related to gas leakage which affects an innocent people lives and property damage. Implementation of this alert system can be useful for companies, houses, which can save lives of people. In this work, SIM900 (GSM module) is used to perform the chosen task by interfacing Gas sensor (MQ5), Buzzer, Arduino UNO, Stepper Motor(5V) and LCD to display. Initially when there is a leak, the Gas sensor detects it using MQ5 and sound alarm is produced automatically and the leakage of gas is controlled. Also, an SMS based system is setup using GSM Module which sends 3 alerts (messages) to the specified mobile number. Not only detection of gas leakage but also stopping the leakage is equally essential to detection. This project provides an effective in cost and highly accuracy, which not only detect gas leakage but also alerting the people (sound alarm) and turn off main power and gas supplies, and send an SMS. In despite to provide high accuracy, gas sensor MQ-5 has been used and this can be used in application of chemical and hazardous industries where there is a consecutive monitoring of gas leaks. By using different types of gas sensors for various gas, used to identify leaks for every kind of gases. Thus, on designing this project our ultimate aim is to automatically detect and stop leakage in vulnerable premises.

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INTERNET OF THINGS (IoT) PADA PROTOTIPE PENDETEKSI KEBOCORAN GAS BERBASIS MQ-2 dan SIM800L

Jurnal Teknik ◽

10.31000/jt.v7i2.1358 ◽

2019 ◽

Vol 7 (2) ◽

Author(s):

Sri Mluyati ◽

Sumardi Sadi

Keyword(s):

Internet Of Things ◽

Gas Sensors ◽

Leak Detector ◽

Gas Leakage ◽

Gas Leak ◽

Gas Detector ◽

Use Of The Internet ◽

The Right ◽

Gas Leaks ◽

The Internet Of Things

The use of the Internet of Things is currently becoming popular, using communicating objects. Likewise in the context of gas . To find out gas leakage and early detection of gas leakage, a prototype gas leak detector was made using MQ-2 and SIM800L. This gas detector uses Arduino nano, gas sensors (MQ-2), RFID, 16x2 and i2c LCDs, Buzzers, and SIM800L modules. as a wireless connection using SMS. The method used in this study is the experimental method. This tool is implemented and processed on hardware and provides the right and expected results. Gas Leaks will be detected on gas levels starting at 52%.

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