scholarly journals IoT Based LPG Gas Leakage Detector

Author(s):  
Pranay Meshram ◽  
Nancy Shukla ◽  
Stuti Mendhekar ◽  
Renuka Gadge ◽  
Shivani Kanaskar

Gas leakage is a major problem in the industrial sector, in residential locations etc. One of the preventive methods to stop the incident related to the gas leak is to install a gas leak detection kit at vulnerable locations. The goal of this paper is to propose a system that can detect, alert and automatically control gas leaks. In particular, a gas sensor has been used which has a high sensitivity to gases such as propane and butane together with LPG. There is an alarm that is triggered once the LPG has been detected. The gas leakage system consists of a Wi-Fi module that alerts the user by sending an SMS message.

2021 ◽  
Author(s):  
Dulu Appah ◽  
Victor Aimikhe ◽  
Wilfred Okologume

Abstract The undetected gas leak, also referred to as fugitive gas emissions, are produced from natural gas infrastructure during operational activities. If not monitored, this undetected gas leakage can lead to undesirable economic loss of natural gas from installed infrastructures and are often accompanied by toxic air pollutants that typically pose safety and public health concerns. The efficient quantification of gas leaks from natural gas infrastructure value chain is still largely inadequate. Several studies have repeatedly opined that the actual rate of leaks from natural gas infrastructure is often higher than the documented estimates. The latter is largely dependent on assumptions that rely on inadequate data. This study reviewed most of the existing methods implemented to detect and quantify gas leaks in natural gas infrastructure by assessing the techniques based on the amount of leak detected compared to the amount of gas produced from such facilities. The study illustrates both the problem of methane leakage and the opportunities for instantaneous reduction from natural gas transmission facilities. Furthermore, this review provides a detailed account of the various analytical models and instrumentation-based research performed to identify and quantify gas leak detection. The study opined that the uncertainties associated with efficient quantification of natural gas leak rates demonstrate the need for innovative approaches or processes to identify and quantify leak rates from natural gas infrastructure.


2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Agung Wahyudi Biantoro

                             Agung Wahyudi Biantoro                       Mechanical Engineering Department,  Universitas Mercu Buana, Jakarta.                               Jl. Meruya Selatan No. 1, Jakarta Barat.  Email : [email protected] the need for efficient transportation is very important for modern human life. Various types of studies continue to be carried out to support the implementation of the use of Gas Fuel (CNG), to reduce dependence on fossil fuels. The use of BBG is considered more efficient and environmentally friendly than using fuel oil (BBM). However, thus, the use of CNG can hurt a negative impact on human safety and even cause considerable losses if it is not used carefully, especially if there is no known leakage from the tube and cause a fire to the vehicle. CNG gas that has a leak does smell so normal leakage is easily detected. However, if the leaky gas seeps into the engine, and the bottom of the bus or under the carpet, it will be difficult to detect. CNG gas is famous for its flammability so that the leakage of CNG equipment is at high risk of fire. Based on this description, the need for an early gas leak detection device using a microcontroller can monitor the presence of gas leaks in vehicles that can be observed directly through the LED screen in the form of a warning that can be placed on the cabin dashboard. From the above problems, the authors are interested in making a study by creating an innovation tool called GLEDS (Gas Leakage Early Detection System) in Microcontroller-Based Motorized Vehicles. The purpose of this study was to determine the condition of the design of the gas cylinder position in motorized vehicles and design the manufacture and GLEDS tool to detect gas leaks in motorized vehicles. Based on the whole system starting from the design and manufacture of GLEDS tools The conclusion is that the GLEDS gas leak detector can work well, this is indicated by the functioning of the tool when given butane gas. The buzzer sounds, the green LED lights up and displays graphical data on Android. Next, the sensor will detect a leak in the gas cylinder, if near the gas cylinder regulator there is really a butane gas content at a concentration of 280 ppm which then increases to 400 ppm. At a concentration of 300 ppm, the tool works well, with active buzzer alarms and LED lights. This GLEDS tool can be placed in the trunk of a car, close to gas cylinders of LNG four-wheeled motorized vehicles. Keywords: Gas Leak Detection, GLEDS, Arduino Uno, Microcontroller


The purpose of this work is to introduce such project that can find and pause gas leakage in risky areas. A gas sensor was used mainly with high propane sensitivity and butane. The gas leak detection model has a Global System of Communication modulus, which warns owner by sending SMS. Gas leaks are a very big problem with the industries and residency areas. Top of these, most effective preventative measures allied with gas leaks is to establish a gas leak investigate system in high-risk areas. However, the prior gas leak system cannot retaliate later. This paper confers a hardware design approach.


2021 ◽  
Vol 3 (1) ◽  
pp. 65
Author(s):  
Ade Mutaqin ◽  
Erwin Sitompul

LPG (Liquefied Petroleum Gas) has become the fuel for cooking for most households in Indonesia. The use of LPG for cooking requires high level of caution, due to the danger that may arise from gas leakage. If the molecules of flammable LPG gas are present in the air at a certain concentration and there is a triggerring factor in the form of flame or sparks, explosion and fire may occur. To prevent disasters caused by a LPG gas leakage, the author proposed an Arduino-based LPG gas leak detector (GLD). The GLD is equipped with a MQ-2 gas sensor, capable of measuring the LPG concentration in air in units of parts per million (ppm). Based on the measurement result, the GLD provides an early warning of LPG leakage through 3 condition levels: Normal, Alert, and Danger. Each condition level is characterized by the activation of LED indicators, a miniature air circulation fan , and a buzzer. Alert warning is released when the sensor reads more than 400 ppm (2.05% of LPG Lower Explosive Level). Danger warning is given at 800 ppm (4.10% of LPG Lower Explosive Level) or higher reading. An HC-06 Bluetooth module creates a wireless connection between the GLD and a smartphone. Through an application created on Blynk platform, the smartphone can monitor the LPG concentration at a distance of 10 m from the GLD. The GLD is tested and succeeded to detect gases coming from an LPG cylinder and from a gas lighter. The GLD also runs perfectly for the designed early warning scheme.


KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Defnizal

Gas is one of the needs that is widely used by the community. The use of gas is very much beneficial, for example, such as the use of gas in households and the use of gas in business or industry. However, there are things we must pay attention to when using gas in terms of safety. Because gas is volatile and there is a possibility of gas leakage which can cause a fire hazard. Therefore to reduce the impact of hazards that can be caused due to gas leakage, a gas leak detection device needs to be made using the MQ5 sensor and the status of the hazard level will be displayed through the android application. So that the existence of this tool will make it easier for users to know the level of gas levels and the level of danger of gas leaks. In this system there are 3 (three) levels of danger, namely safe, normal, and dangerous. If the gas level is high and in danger status, the system will provide information on the android application in the form of gas levels, danger levels and alarms. The use of Fuzzy methods in this system can be applied to explore knowledge and decision making, so that the Fuzzy method is applied to be expected to help in calculating the level of danger of gas leakage effectively and safely to use. In designing this system, the author uses the Fuzzy algorithm with the Mamdani method so that it can facilitate obtaining maximum results in determining the level of danger. From the resulting output can be information about the dangers of gas leakage.


Author(s):  
Michael S. Wogalter ◽  
kenneth R. Laughery

A scenario based on actual cases is presented in which a consumer fails to detect a gas leak. A spark source ignites the vapor, causing an explosion and fire. Odorant added to alert people of gas leaks is not always detected for a number of reasons, including nasal congestion, sleep, odor fade, masking, and adaptation or habituation. Electronic gas sensors that alarm in the presence of explosive gas are available in the consumer marketplace and could augment leak detection.


Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammad Imam Syaiffullah ◽  
Sumardi Sadi ◽  
Roni Suyono

ABSTRACT Liquefied Petroleum Gas (LPG) leak detection system is a precautionary measure for hazards such as a gas cylinder explosion. There have been many incidents of building explosions because the occupants were negligent in anticipating the gas leak. Therefore, this research has made a gas leak detection system that is integrated with the IoT concept using Google Firebase. This tool aims to anticipate the dangers of gas leaks that occur in a room in a building or house. This tool is wrapped in an acrylic box measuring 10 x 11 x 8 cm. By using NodeMCU ESP8266 as the main control, the gas sensor uses MQ - 2 as input, LED, LCD, and buzzer as output. This tool is also equipped with IoT (Internet of Things) so that the room where this tool is installed when a gas leak occurs can provide notifications remotely using an application on a smartphone. From this tool, test results have been obtained for the ideal distance from the gas regulator to the sensor which is 1 cm away by producing a sensor response time of 0.90 seconds and also getting the response time of the tool in sending notifications to the smartphone application of 1.79 seconds. Keywords: LPG, Firebase, IoT, NodeMCU, Gas Detection 


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.


Author(s):  
Adoyi Boniface ◽  
A.Y. Nasir ◽  
A. M. Hassan

<span lang="EN-US">Gas leakage is a major problem with industrial sectors, residential premises and gas powered vehicles like CNG (Compressed Natural Gas) buses etc. One of the preventive methods to stop accidents associated with the gas leakage is to install a gas leakage detection device at vulnerable places. The aim of this project is to develop such a device that can automatically detect and control gas leakages and also monitor temperature in vulnerable areas. The system detects the leakage of the LPG (Liquefied Petroleum Gas) using a gas sensor and then also monitors the temperature using a temperature sensor. When the LPG concentration in the air exceeds a certain level, the gas sensor senses the gas leakage and the output of the sensor goes LOW, the system then opens the exit windows, and then uses the GSM to alert the person about the gas leakage via SMS. Also, when the temperature of the environment exceeds a certain limit, it then turns ON the LED (indicator) and make an alarm through the buzzer. An LCD (16x2) displays the current temperature and gas leakage status in degree Celsius and PPM respectively.</span>


2020 ◽  
Vol 4 (2) ◽  
pp. 479
Author(s):  
Ciksadan Ciksadan ◽  
Suroso Suroso ◽  
Yuris Ramadhona

Common problems that often occur in users of LPG gas, especially LPG gas with a size of 3kg are the wrong way of installation and the leakage of gases that are not detected by the sense of human smell that often causes fires. Fires were triggered due to sparks or even by an electronic device that is still on due to manual operation of electronic devices so that users forget to shut down the device when not in use. Therefore, an integrated technology of a system that can control electronic devices automatically and monitor LPG gas leakage thereby reducing the risk of gas leaks that are not detected by the sense of smell of humans and the risk of fire due to electronic devices that continue to ignite when not in use. The sensors used in this system are PIR sensors to detect human presence and MQ6 sensors to detect the presence of leaky gas and Raspberry pi as processors based on Internet Of Things using the fuzzy logic method as the MQ6 sensor input receiver. This system will automatically turn on the lights when a human being is detected and turn off the lights when there are no humans, besides this system will also automatically turn on the buzzer as a warning when a gas leak is detected. Data received by raspberry pi will be stored on the web server and sent to the user's e-mail in the form of gas leak status and electronic device status


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