Failure to Detect Gas Leaks

2011 ◽  
Vol 19 (1) ◽  
pp. 21-23 ◽  
Author(s):  
Michael S. Wogalter ◽  
kenneth R. Laughery
Keyword(s):  
Gas Sensors ◽  
Nasal Congestion ◽  
Leak Detection ◽  
Gas Leak ◽  
Gas Leaks

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.

scholarly journals GAS LEAK DETECTION SYSTEM MONITORING BASED IoT USING MCU NODES WITH GOOGLE FIREBASE COMMUNICATION

Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammad Imam Syaiffullah ◽  
Sumardi Sadi ◽  
Roni Suyono
Keyword(s):  
Response Time ◽  
Detection System ◽  
Leak Detection ◽  
Smartphone Application ◽  
Test Results ◽  
Liquefied Petroleum Gas ◽  
Gas Cylinder ◽  
Gas Leak ◽  
Gas Leaks ◽  
The Ideal

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 

Assessment of Gas Leak Detection Techniques in Natural Gas Infrastructure: A Review

2021 ◽  
Author(s):  
Dulu Appah ◽  
Victor Aimikhe ◽  
Wilfred Okologume
Keyword(s):  
Natural Gas ◽  
Value Chain ◽  
Economic Loss ◽  
Leak Detection ◽  
Analytical Models ◽  
Detection Techniques ◽  
Gas Leakage ◽  
Gas Leak ◽  
Operational Activities ◽  
Gas Leaks

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.

scholarly journals A Drone-Enabled Approach for Gas Leak Detection Using Optical Flow Analysis

2021 ◽  
Vol 11 (4) ◽  
pp. 1412
Author(s):  
Parham Nooralishahi ◽  
Fernando López ◽  
Xavier Maldague
Keyword(s):  
Flow Analysis ◽  
Leak Detection ◽  
Gas Emission ◽  
Imaging Technologies ◽  
Industrial Sites ◽  
Gas Leak ◽  
Inspection Process ◽  
Real Scenario ◽  
Gas Leaks ◽  
Suitable Technique

The recent development of gas imaging technologies has raised a growing interest for various applications. Gas imaging can significantly enhance functional safety by early detection of hazardous gas leaks. Moreover, optical gas imaging technologies can be used to identify possible gas leakages and to investigate the amount of gas emission in industrial sites, which is essential, primarily based on current efforts to decrease greenhouse gas emissions all around the world. Therefore, exploring the solutions for automating the inspection process can persuade industries for more regular tests and monitoring. One of the main challenges in gas imaging is the proximity condition required for data to be more reliable for analysis. Therefore, the use of unmanned aerial vehicles can be very advantageous as they can provide significant access due to their maneuver capabilities. Despite the advantages of using drones, their movements and sudden motions during hovering can diminish data usability. In this paper, we propose a method for gas leak detection and visually-enhancement of gas emanation involving stabilization and gas leak detection steps. In addition, a comparative analysis of candidate stabilization techniques is conducted to find the most suitable technique for the drone-based application. Moreover, the system is evaluated using three experiments respectively on an isolated environment, a real scenario, and a drone-based inspection.

scholarly journals GLEDS (Gas Leakage Early Detection System) PROTOTYPE FOR EARLY DETECTION OF GAS LEAKS BASED ON MICROCONTROLLER ON MOTOR VEHICLES

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Agung Wahyudi Biantoro
Keyword(s):  
Early Detection ◽  
Detection System ◽  
Leak Detection ◽  
Fuel Oil ◽  
Gas Leakage ◽  
Gas Cylinder ◽  
Gas Leak ◽  
Motorized Vehicles ◽  
Gas Leaks ◽  
Led Lights

                             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

scholarly journals System Design for Early Detection of Explosive and Flammable Gas Leaks Using Mobile Robot in Confined Space

2021 ◽  
Vol 2107 (1) ◽  
pp. 012028
Author(s):  
M A Abu Bakar ◽  
M R Manan ◽  
R M Kawi ◽  
L J Yunn
Keyword(s):  
Gas Sensors ◽  
Specific Area ◽  
Prototype System ◽  
Confined Space ◽  
Liquefied Petroleum Gas ◽  
Gas Leak ◽  
Environment Temperature ◽  
Flammable Gas ◽  
Air Sample ◽  
Gas Leaks

Abstract The presence of explosive or flammable gases in confined space may contribute towards accidents that threaten the workers safety and industrial progress. Conventionally, the existing instrument for gas detection in confined space is manually carried by humans whereby the workers or competence person itself were exposed directly to the gases. This project is aim to develop a prototype system to detect the presence of gases leak where the robotic system replaces humans to carry gas sensors. Users only need to maneuver the robot using a mobile phone to monitor the specific area that may have an explosive or flammable gas leak which includes Liquefied Petroleum Gas (LPG) and methane gases. The sensors will detect if a change in the gas concentration has exceeded a safety limit and will activate the alarm as an alert signal. The readings of gases as input signals were sent wirelessly to the Personal Computer (PC) as a user device for monitoring purposes. This prototype is successfully developed, tested and calibrated using the samples of LPG gas, methane, smoke and environment temperature. The result proved that the developed system is able to detect an air sample using selected gas sensors and display the data in graph form with live monitoring. This will contribute significantly to acquiring a new and alternative method using the system for detecting the presence of gases in confined space application.

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

Jurnal Teknik ◽  
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%.

scholarly journals Aplikasi Pendeteksi Kebocoran Gas LPG Berbasis Wemos ESP8266 Menggunakan Peringatan Notifikasi Pada Whatsapp

2021 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
Alif Septiyanto ◽  
Joni Warta ◽  
Rafika Sari
Keyword(s):  
Early Warning ◽  
Detection System ◽  
Warning System ◽  
Leak Detection ◽  
Daily Activities ◽  
Gas Leak ◽  
Gas Leaks ◽  
To Receive

Abstract   LPG gas leaks are often not noticed by people around them, plus there is no special warning system that detects the LPG gas leak. That can increase the chance of fire. This study aims to build a LPG gas leak detection system as an early warning so that people are safer in using the gas for their daily activities. This system is built using the prototype method, with Wemos D1 EPS8266 as the microcontroller, and whatsapp as a platform to receive notification alerts. Then the result is that the system can send notifications via Whatsapp at online and realtime when there is an indication of an LPG gas leak.   Keywords: Microcontroller, MQ-2 Censor, LPG Gas, Wemos D1   Abstrak   Kebocoran gas LPG seringkali tidak disadari oleh orang sekitar, ditambah tidak adanya sistem peringatan khusus yang mendeteksi adanya kebocoran gas LPG tersebut. Hal itu dapat menambah kemungkinan kebakaran semakin meningkat. Penelitian ini bertujuan untuk membangun sistem pendeteksi kebocoran gas LPG sebagai peringatan dini agar masyarakat lebih aman dalam menggunakan gas tersebut untuk kesehariannya. Sistem ini dibuat menggunakan metode prototype, dengan wemos D1 EPS8266 sebagai mikrokontrollernya, dan whatsapp sebagai platform untuk menerima peringtan notifikasinya. Maka hasilnya sistem dapat mengirimkan notifikasi melalui whatsapp secara online dan realtime saat terindikasi adanya kebocoran gas LPG.   Kata kunci: Mikrokontroller, Gas LPG, wemos D1, sensor MQ-2

scholarly journals IoT Based LPG Gas Leakage Detector

2019 ◽  
pp. 531-534 ◽  
Author(s):  
Pranay Meshram ◽  
Nancy Shukla ◽  
Stuti Mendhekar ◽  
Renuka Gadge ◽  
Shivani Kanaskar
Keyword(s):  
Gas Sensor ◽  
High Sensitivity ◽  
Leak Detection ◽  
Industrial Sector ◽  
Gas Leakage ◽  
Residential Locations ◽  
Gas Leak ◽  
Gas Leaks ◽  
Preventive Methods

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.

scholarly journals Penerapan Fuzzy Logic pada Sistem Pendeteksi Gas C4h10 dalam Ruangan sebagai Media untuk Menampilkan Bahaya Berbasis Android dan Graphical User Interface

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Defnizal
Keyword(s):  
Graphical User Interface ◽  
Fire Hazard ◽  
Android Application ◽  
Gas Leakage ◽  
Fuzzy Methods ◽  
Gas Leak ◽  
The Status ◽  
Hazard Level ◽  
Gas Leaks ◽  
The Impact

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.

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