Gas Leak Detection Research Articles

Assembling a high-performance acetone sensor based on MOFs-derived porous bi-phase α-/γ-Fe2O3 nanoparticles combined with Ti3C2Tx nanosheets

Acetone is one of the volatile organic compounds (VOCs), which is found in precarious both human health and the environment. For efficient detection of acetone gas concentration and leakage, we have successfully synthesized stable α-/γ-Fe2O3/ex-Ti3C2Tx-X gas sensing material via in-situ solvothermal and calcination method, in which MIL-53(Fe)-derived porous bi-phase α-/γ-Fe2O3 nanoparticles uniformly growing on the surface and interlayers of exfoliated Ti3C2Tx nanosheets (α-/γ-FT-X). The numerous heterojunction interfaces, surface defects, and porosities of α-/γ-FT-X composites can simultaneously facilitate the diffusion process and contact interaction between acetone molecules and active sites. Strikingly, the optimal α-/γ-FT-4 composite possesses the superior sensitivity (R = 215.2) towards 100 ppm acetone at 255 ℃, which is nearly 8 times higher than that of α-/γ-Fe2O3 (R = 26.2) and much higher than exfoliated Ti3C2Tx nanosheets (R = 3.8), respectively. Moreover, fast response (13 s) and recovery (8 s) properties are achieved, as well as outstanding repeatability and remarkable selectivity. An enhancement mechanism for α-/γ-FT-4 composite is proposed and investigated. It is expected for us to open an effective avenue for fabricating efficient acetone sensing materials.

Design and implementation of IOT based Gas detection & fire extinguishing System

The protection of housesfrom thefire is a major challenge due to the growing population andgrowth of number of buildings. The gas detection and circuit breaking definitely will be the first step to reduce this problem. Furthermore it is more useful to provide much more security to the mines with less cost and without sacrificing the quality of equipment.The project presents a new way for securing the domestic and industrial buildings from causing the fire and providing the information to the user as soon as it detects the gas and fire. It also uses the IOT system, when identified the fire and informing the user through an application.As soon as the gas is detected the module turns off the nearby circuit board using H-bridge, so that nearby electrical devices would not cause any type of the causes for the fire. The usage of the low power devices would not consume much of the power. It also turns on the ventilator fan for exhausting of the gases.Using this kind of modules would enhance the opportunities for the safety of thebuildings and saving more lives.In this paper we have designed Internet of Things based system which enables the early detection of fire and gas leaks.

Detection of LPG Gas Leakage and IoT based Auto Booking System

Detection of LPG Gas Leakage and IoT based Auto Booking System

Designing An IOT-Based Smart Home Control Using Blink Application and ESP8266 Wi-Fi Module

The very rapid development of technology has a significant impact on human life today. The aids of facilitating human work are starting to be in great demand. Automation of tools is thought to shorten the time, be more accessible and be faster. Smart Home is one's technologies applications needed today. This study aims to designs an IoT-based innovative home prototype. The resulting intelligent home prototype uses the DHT11 sensor at a room temperature detector, the MQ-2 the sensor as a gas leak detector, an ultrasonic sensor as the object detector, the MC38 magnet sensor as door security, a relay as ON or OFF the lamp switch, buzzer as an alarm, and using a microcontroller. A nodemcu with a Wi-Fi module ESP8266 controlled via Blynk App. Research and Development (R & D) method were research method used. It is hoped that the IoT-based Smart Home technology will be provided convenience to its users in everyday life.

IoT Based Smart Kitchen System

In today's world fuel demand is increasing day by day. Liquefied Petroleum Gas (LPG) is the most used fuel in Kitchen. This is filled in a cylinder in liquid state. These cylinders blast sometimes, the main reason of cylinder blast is gas leakage. So, to avoid this we need to detect the leakage of gas. For this we need an automatic gas leakage detection system which detects leakage of gas and gives alerts. This type of automatic security system can save people from dangerous blasts and prevent accidents. Nowadays IOT (Internet of Things) is widely used in day-to-day life. There are many home appliances which are based on IOT thus it becomes easier to manipulate them. As we know the kitchen is the most important part of our home, but we also heard about the disasters happening in the kitchen due to various reasons and many people lost their lives. There might be various reasons behind the cause of these disasters but the main and mostly happens is due to the leakage of LPG gas from the cylinder. As LPG gas is highly inflammable gas, a small leakage of gas can be costly for human life. So, if we can detect these leakages of gas before it causes any serious issue then we might save many lives.

Implementation of a Distributed Home Automation Scheme with Custom Hardware Nodes Using ZigBee and MQTT Protocols

Providing safety, security, operational convenience and energy savings are some of the vital goals of a home automation system. A single unified point of interaction for the user is also an important consideration. Each feature requires a different sensor, powering scheme and mounting arrangement. To address each requirement, custom node development is to be prepared with all nodes being part of a personal area network for data transfer. A central node with Internet connectivity can push data to the cloud and the user can be provided access to data on a mobile app. This paper presents the practical implementation of such a distributed home automation scheme with custom-designed microcontroller-based ZigBee enabled hardware nodes for liquid petroleum gas leak detection, window open detection, lights switching control based on occupancy and intrusion detection. Messages are triggered by events and are not periodic to avoid traffic congestion. A central node built around a Raspberry Pi with a ZigBee dongle will serve as a data aggregator which sends messages to our own MQTT (Message Queuing Telemetry Transport) broker. An android mobile app will work as an MQTT client, helps the user to connect the MQTT broker, subscribe to the topics published and makes alerts to the user as soon as an event occurs. The mobile app will also enable the user to switch on lights and other appliances through command messages sent to the MQTT broker and subscribed to Raspberry Pi.

INTELLIGENT LPG GAS LEAK DETECTION AND AUTOMATIC GAS BOOKING ALERT SYSTEM USING PIC MICROCONTROLLER

LPG gas is primarily used for cooking in our country. This paper focuses on continuous monitoring, booking and leakage detection in household LPG cylinder. In this system we have used PIC 16F877A microcontroller, GSM SIM 800c module and ESP8266 for monitoring and detection purpose. If gas level goes low, it helps us to make automatic booking of new gas cylinder using GSM module. Gas level is monitored with the help of the load cell and the current level of the cylinder can be viewed at any time in our mobile phone with the help of mobile application. The gas leakage is sensed with the help of MQ-6 gas sensor. When any leakage is detected, it turns on the buzzer and also alerts the consumer through a message. An automatic closure of cylinder valve is done using a solenoid valve and exhaust fans are switched on. By detecting gas leakage, we can avoid accidents which causes damage to life and property.

Sistem Pendeteksi Kebocoran Liquified Petroleum Gas (LPG) Menggunakan Sensor MQ-2 Berbasis Mikrokontroler

Liquified Petroleum Gas (LPG) is a household need which is currently the most widely used by the community as a fuel other than petroleum. The use of LPG cylinders, which increases every year, is directly proportional to the increased risk of fire caused by gas leaks. Many LPG cylinders circulating in the community today do not use good safety. Therefore, a tool is needed to detect LPG leaks so that people can find out more quickly when there is a gas leak. This system is designed using a microcontroller-based MQ-2 sensor. The MQ-2 sensor functions as a gas leak detector, the buzzer serves as a warning in the event of a gas leak and the SIM800L will send an SMS via the user's smartphone.
 The MQ-2 sensor can detect gas leaks at a distance of 2 meters in a closed room without ventilation. The MQ-2 gas sensor detects gas leaks using a distance that can be influenced by room temperature and the sensitivity of the MQ-2 sensor, so that the MQ-2 sensor produces a non-permanent time even though it is at the same distance. The buzzer sounds when the MQ-2 sensor detects a gas leak. SIM800L can send SMS notifications to smartphones of LPG cylinder owners when the MQ-2 sensor detects a gas leak, but the time it takes to send an SMS is not fixed because it is influenced by whether the network used by the simcard on the smartphone or the simcard on the SIM800L is good or not.

Heterodyne photothermal spectroscopy of methane near 1651 nm inside hollow-core fiber using a bismuth-doped fiber amplifier.

We present laser-based methane detection near 1651 nm inside an antiresonant hollow-core fiber (HCF) using photothermal spectroscopy (PTS). A bismuth-doped fiber amplifier capable of delivering up to more than 160 mW at 1651 nm is used to boost the PTS signal amplitude. The design of the system is described, and the impact of various experimental parameters (such as pump source modulation frequency, modulation amplitude, and optical power) on signal amplitude and signal-to-noise ratio is analyzed. Comparison with similar PTS/HCF-based systems is presented. With 1.3 m long HCF and a fiber amplifier for signal enhancement, this technique is capable of detecting methane at single parts-per-million levels, which makes this robust in-fiber sensing approach promising also for industrial applications such as, e.g., natural gas leak detection.

A comprehensive system for detection of flammable and toxic gases using IoT

The majority of the existing gases constitute a risk to the health of humans and the environment in general. There is a wide range of diseases that can arise as a result of exposure to toxic and dangerous gases, which can be a cause of death or serious health problems. More so, deadly explosions may occur as a result of leakages of such gases. However, such consequences can be avoided when these dangerous gases are not detected early. Many researchers have proposed different kinds of systems for the detection of gas leakage, but most of the proposed systems were mainly designed to detect LPG gas. Therefore, in this study, a system is proposed for detecting different kinds of flammable and toxic gases. The gases that are detectable by the proposed system include smoke, Ethanol, CNG Gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde. The system can detect gases efficiently and release evacuation alarms simultaneously, then send SMS for emergencies. The proposed system is ready to use and can be installed at any work location.

Wireless Self-Powered High-Performance Integrated Nanostructured-Gas-Sensor Network for Future Smart Homes.

The accelerated evolution of communication platforms including Internet of Things (IoT) and the fifth generation (5G) wireless communication network makes it possible to build intelligent gas sensor networks for real-time monitoring chemical safety and personal health. However, this application scenario requires a challenging combination of characteristics of gas sensors including small formfactor, low cost, ultralow power consumption, superior sensitivity, and high intelligence. Herein, self-powered integrated nanostructured-gas-sensor (SINGOR) systems and a wirelessly connected SINGOR network are demonstrated here. The room-temperature operated SINGOR system can be self-driven by indoor light with a Si solar cell, and it features ultrahigh sensitivity to H2, formaldehyde, toluene, and acetone with the record low limits of detection (LOD) of 10, 2, 1, and 1 ppb, respectively. Each SINGOR consisting of an array of nanostructured sensors has the capability of gas pattern recognition and classification. Furthermore, multiple SINGOR systems are wirelessly connected as a sensor network, which has successfully demonstrated flammable gas leakage detection and alarm function. They can also achieve gas leakage localization with satisfactory precision when deployed in one single room. These successes promote the development of using nanostructured-gas-sensor network for wide range applications including smart home/building and future smart city.

A practical-use hydrogen gas leak detector using CARS

The purpose of this research is to develop a non-contact, fast response, practical-use hydrogen gas leak detector using Coherent Anti-Stokes Raman Spectroscopy (CARS). To make it realize, the optimization of its practical light source was investigated minutely for this detector. The light source condition to generate the highest Anti-Stokes Raman light is obvious on the theory, while it is not matched with its practical condition under the physical constraints. In this study, the light source configuration was devised in which the laser beam (355 nm) is split into two optical paths and the Raman cell filled hydrogen gas is arranged on the one side. As a result, it was found that when its irradiation ratio (R = Stokes light/Pump light) was 0.140 ≤ R ≤ 0.173, the generation efficiency of the anti-Stokes light was high. The high generation efficiency of anti-Stokes light can be maintained even if the laser light intensity and hydrogen pressure to the Raman cell are changed. We discussed the difference between the obtained experimental results and the theoretical results. The detection limit of hydrogen gas concentration of our detector was set to 500 ppm. As a result, hydrogen gas up to 200 ppm ± 15% (lower detection limit: 157 ppm) could be measured. In addition, the measurement value of the hydrogen gas leaking from a nozzle was considered under the acceptance situation, too.

State of the Art Implementation of Automated Fire Accident Detection with Robust Control by Utilizing Industry 4.0 Terminology

The key work of this research is to implement the ‘Fourth Industrial Revolution’ by using the internet of things (IoT) which can be applied to flammable gas condition monitoring and detection of gas leakage and activate fire extinguisher in case of fire accidents. Internet of things enabled the sensors to transmit LPG concentration value reading to the mobile app or cloud server and control actuators by connecting all in the same network. In case of a fire accident, the solenoid valve will be opened automatically or can be opened by an android application manually which will be pre-installed in mobile phones. Another advantage of this system is, the gas cylinder or flammable particle source can be closed by closing the solenoid valves attached to their outlets. The first challenge of industry 4.0 is to develop a cyber-physical system where all physical entities can be monitored and controlled over the internet or another way remotely or from a single point. This fire extinguisher system can be used everywhere and in all types of fire-fighting because all types of fire extinguishers are commercially available in cylinders where solenoid valves can be used instead of conventional valves. Use of robust automatic control system will eliminate the effort of human for continuous monitoring of LPG condition, leakage and in the activation of fire extinguishers by cyber-physical system.

Household LPG Gas Leakage Detection and Automatic Booking System

Household LPG Gas Leakage Detection and Automatic Booking System

RANCANG BANGUN PROTOTIPE PEMANTAU KEBOCORAN GAS MENGGUNAKAN SENSOR MQ-6 BERBASIS NodeMCU 8266

Liquefied Petroleum Gas (LPG) leak detection and monitoring system is a step to anticipatethe danger of gas leaks. BPBD data for 2016 - 2020 fires due to LPG gas leakage are 50 cases,handling is still manual. The design of this prototype uses the Arduino NodeMCU 8266 module as themain controller. The sensor used by the MQ-6 sensor is suitable for detecting propane and butanegas in LPG. In order for the sensor to work optimally the sensor is set at a distance of 10 cm from thegas source. The prototype uses a solenoid valve which is a valve controlled with AC or DC electriccurrents through the selenoids. Buzzers and notifications via the telegram application complement theoutput of the prototype if a gas leak is indicated. The duration of the notification is sent depending onthe signal strength of the WiFi / provider used, while the duration of the buzzer sounds as long as thedetected gas level exceeds the value of the sensor set. The results achieved in the study, namely thegas leak monitoring prototype using the MQ-6 sensor based on NodeMCU 8266 was very effective.MCU node 8266 can be used to open / close valve electronics automatically. The ideal distance toread the gas leak smoke is 10 cm. The time the notification is sent depends on the signal strength ofthe WiFi / provider used, in this study it was found 80-92 dbm, the duration of the buzzer sounded aslong as the gas level was detected more than 200 ppm.

PH-Responsive amorphous room-temperature phosphorescence polymer featuring delayed fluorescence based on fluorescein

Numerous researchers have paid attention to achieve metal-free phosphorescence by exploring new structures or new mechanisms. Herein, a facile way is introduced to endow a common fluorescence dye, tetrabromofluorescein (4Br-Flu), some fabulous optical characteristics such as dual emission including thermally activated delayed fluorescence, room-temperature phosphorescence (RTP), and the excellent pH-sensitivity. Shortly, 4Br-Flu with good light-emitting properties is composed into the polymer system. The multiple bromine atoms promote the spin-orbit coupling effect and facilitate triplet excitation. Especially, the hydrogen bonding network of the polymer restricts the molecular motion of 4Br-Flu so that the system can emit long-wavelength RTP when 4Br-Flu is doped into polyvinyl alcohol or co-polymerized with acrylamide. Due to the reversible transformation of protonation and deprotonation, the 4Br-Flu based polymer responded to acid and alkali like a phosphorescent switch which makes it an excellent hydrogen chloride/ammonia gas leak detector in dry environment.

GAS LEAK SOURCE DETECTION ROBOT USING FINITE STATE MACHINE MODEL (FSM)

At this time, many gases are at risk in the surrounding area, especially in industrial areas, such as radiological materials and toxic gases that can contaminate the surrounding area as well as the occurrence of gas leaks. From the problem-created gas detection simulation robot using Finite State Machine (FSM) model, the robot can help human work in this case the robot helps detect gas leaks that if faced by humans will be dangerous. The robot was created to detect nearby gases and provide notifications in the event of a gas leak. The robot was tested in several areas to see if the robot could perform the task according to the input given, the trial was conducted 40 times with 4 different arenas, from 40 tests the robot can perform the correct task 37 times and error 3 times so that accuracy results obtained by 92.5%. The creation of this gas detection simulation robot is expected to be developed again as a gas leak detection inspection robot as an early warning system.

A Proposal on Gas Leakage Detection System using ARM and Zigbee Technology

A Proposal on Gas Leakage Detection System using ARM and Zigbee Technology

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

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.

Design and Construction of Gas Fire Alert System

This research paper aspired to design and develop a gas leakage and fire monitoring and detection alarm system based on SMS. Most fire incidents in houses, schools and factories are caused by gas leakage. Many houses and factories are being destroyed by fire and gas leakage. To prevent the loss of life and properties, preventive measures should be taken, hence this research was conceptualized. The installation of a GF (Gas and Fire) alert system to vulnerable locations may help lessen if not totally eliminate the dangers posed by gas leakage and fire. The GF system was designed and develop to prevent the loss of life and properties caused by gas leakages & fire thus ensuring the safety of life and property. The design of the GF system is composed of hardware and software integrated and programmed to work as gas and fire detector. The programs are coded using embedded C-language. Tests performed on the developed GF system shows excellent response in detecting gas leaks and fire with short time delay. On the other hand, sending of SMS alert shows promising results with few seconds time delay. Also, the network signal of the place of installation affects the performance of the device to send text messages.