Bibliografie tematiche / Underground Gas Sensor

Letteratura scientifica selezionata sul tema "Underground Gas Sensor"

Autore: Grafiati

Pubblicato: 8 giugno 2024

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Articoli di riviste sul tema "Underground Gas Sensor":

Hou, Longfei, Dan Wang, Bingxuan Du, Xinmin Qian e Mengqi Yuan. "Gas concentration detection via multi-channeled air sampling method". Sensor Review 37, n. 2 (20 marzo 2017): 187–95. http://dx.doi.org/10.1108/sr-12-2016-0266.

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Purpose The purpose of this paper is to present a new technique for monitoring gas leakage in underground pipelines to prevent dangerous explosions. Design/methodology/approach A novel system for monitoring methane concentration in underground spaces was developed by integrating the multi-channeled air sampling method with an infrared gas sensor. A pipe installation methodology (without excavation) was established and verified accordingly. Findings The proposed approach was proven successful in reducing the quantity of sensors needed for real-time monitoring of underground pipeline leakage by about 80 per cent. Furthermore, this system lowers total operational cost by as much as 60 per cent. Originality/value The results presented here represent a possible solution to reducing the public safety risks associated with explosions and fires caused by pipeline leakage in underground spaces. Its total cost is low and its monitoring efficiency is high.

Wang, Qiang, Tao Cheng, Yijun Lu, Haichuan Liu, Runhua Zhang e Jiandong Huang. "Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor". Sensors 24, n. 4 (17 febbraio 2024): 1285. http://dx.doi.org/10.3390/s24041285.

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This research addresses the paramount issue of enhancing safety and health conditions in underground mines through the selection of optimal sensor technologies. A novel hybrid MEREC-CoCoSo system is proposed, integrating the strengths of the MEREC (Method for Eliciting Relative Weights) and Combined Compromise Solution (CoCoSo) methods. The study involves a three-stage framework: criteria and sensor discernment, criteria weight determination using MEREC, and sensor prioritization through the MEREC-CoCoSo framework. Fifteen criteria and ten sensors were identified, and a comprehensive analysis, including MEREC-based weight determination, led to the prioritization of “Ease of Installation” as the most critical criterion. Proximity sensors were identified as the optimal choice, followed by biometric sensors, gas sensors, and temperature and humidity sensors. To validate the effectiveness of the proposed MEREC-CoCoSo model, a rigorous comparison was conducted with established methods, including VIKOR, TOPSIS, TODIM, ELECTRE, COPRAS, EDAS, and TRUST. The comparison encompassed relevant metrics such as accuracy, sensitivity, and specificity, providing a comprehensive understanding of the proposed model’s performance in relation to other established methodologies. The outcomes of this comparative analysis consistently demonstrated the superiority of the MEREC-CoCoSo model in accurately selecting the best sensor for ensuring safety and health in underground mining. Notably, the proposed model exhibited higher accuracy rates, increased sensitivity, and improved specificity compared to alternative methods. These results affirm the robustness and reliability of the MEREC-CoCoSo model, establishing it as a state-of-the-art decision-making framework for sensor selection in underground mine safety. The inclusion of these actual results enhances the clarity and credibility of our research, providing valuable insights into the superior performance of the proposed model compared to existing methodologies. The main objective of this research is to develop a robust decision-making framework for optimal sensor selection in underground mines, with a focus on enhancing safety and health conditions. The study seeks to identify and prioritize critical criteria for sensor selection in the context of underground mine safety. The research strives to contribute to the mining industry by offering a structured and effective approach to sensor selection, prioritizing safety and health in underground mining operations.

Reddy, Vijaya Bhasker, Bhumisha Chouhan, Abhishek, Mahadev Bhosle, Chandra Shekar, T. Santhosh Kumar e Vinod Balmiki. "A Low-Cost Underground Mining and Miners Monitoring System Using Internet of Things". E3S Web of Conferences 430 (2023): 01166. http://dx.doi.org/10.1051/e3sconf/202343001166.

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The safety of mine workers is a serious worry nowadays. the miners construct underground rooms to facilitate the minerals to be taken out of the mine at work in, which requires greater output and a larger workforce. In underground mining work locations, 2753 injuries were reported as non-fatal lost- time, resulting in 190,005 lost workdays. The main aim of this proposed system is to save workers from sudden falling and detect the toxic gases present in the mining area. Using the IOT technology, we created a system with different types of sensors to solve these issues. We used flame sensor, temperature and humidity sensor and Gas sensor, to detect the toxic gas environment inside the mining and detect the fire burst inside mining in the first module. Accelerometer sensor is used to detect the falling of the worker and the pulse sensor is used to detect the heartbeat of the worker in the second module. We have created the two modules where one module is for miners monitoring and another is for mining monitoring All these sensors are integrated with the NodeMCU. All the obtained data is sent to thingspeak cloud and if any abnormality is detected we will receive a notification through email using alert API.

Ma, Feng Ying. "Optimal Sensor Placement Based on Simulation of Gas Distribution in Underground Heading Face". Advanced Materials Research 562-564 (agosto 2012): 1788–91. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1788.

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The gas sensor is significant for coalmine production safety. In order to carry out optimal gas sensor placement in heading face, the software named Fluent was used to simulate underground gas distribution. Geometry model was established and divided by grids. Gas distribution in heading face was simulated using RNG k-ε model by Fluent according to conversation equation in turbulent state, turbulent kinetic energy equation and turbulent dissipation rate equation. The results show that gas is likely to accumulate in the upper corner, when wind passes through the corner after washing heading face, wind velocity is unstable, the performance of sensor placed in inner side of turning is different from that placed in outer side of turning. Distance of gas sensor to heading face should be no more than 10m which accords with the mine safety regulations well. The result shows that gas can be monitored effectively by applying this method which has an important value and instructive significance.

Kalsi, Harjinderpal Singh. "To Monitor Real-time Temperature and Gas in an Underground Mine Wireless on an Android Mobile". Scientific Temper 13, n. 02 (12 dicembre 2022): 14–18. http://dx.doi.org/10.58414/scientifictemper.2022.13.2.02.

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In an underground mine there are temperature variations as well as toxic gases are releasedwhich cause potential hazards for mine workers. Hence it is necessary to monitor and assessthese parameters well in advance for the safety of mine workers. This research paper discussesthe concept of real-time monitoring and assessing temperature and toxic gases which arereleased from underground mines. Methane (CH4) and Carbon Monoxide (CO) are the mostprominent gases released in a typical underground mine. For precise detection of temperaturevariations and ppm values of gases; sensors can be used. This research work is an effort todevelop an instrumentation system built around PIC Microcontroller using Quartz Sensor/ Crystal, for precise detection of temperature variations as well as Gas sensors for precisedetection of Methane (CH4) and Carbon Monoxide (CO). Individual gas sensors are used todetect these gases, their corresponding ppm values are also measured. The temperature valuebeing measured as well as the ppm values of these toxic gases are then transmitted wirelessthrough an WIFI module and displayed on an Android mobile.

Firmansyah, Firmansyah, e Darius Agung Prata. "DESIGN OF LABORATORY SCALE REAL-TIME MONITORING SYSTEM FOR UNDERGROUND MINING USING WIRELESS NETWORK". Cyberspace: Jurnal Pendidikan Teknologi Informasi 6, n. 1 (31 marzo 2022): 1. http://dx.doi.org/10.22373/cj.v6i1.12997.

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Underground mining is one of the mining systems that has a high potential risk of work accidents. One of the potential dangers is the emergence of gasses that can cause disruption of the respiratory system in humans. To minimize this risk, it is necessary to periodically monitor the gas that appears in the work area. This study aims to design a laboratory environmental monitoring system for underground mining using Arduino Uno as a controller that uses sensors of temperature, oxygen, carbon dioxide, and wind speed. Sensor data is sent wirelessly to the main monitoring system with point to point topology. The design of the software is carried out as a place to store data from the sensor which is then displayed in a monitoring information system in real time. From the results of system testing, sensor data is taken in a span of 1 second which is generated by a system with an accuracy rate of 99.9%. Overall, the system can be used properly to real monitor the environmental quality of underground mines.

Hong, Mei. "Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks". International Journal of Online Engineering (iJOE) 14, n. 10 (26 ottobre 2018): 68. http://dx.doi.org/10.3991/ijoe.v14i10.9304.

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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.</span>

Krupanek, Beata. "Dynamic Error Correction of Methane Sensor". International Journal of Electronics and Telecommunications 60, n. 4 (23 dicembre 2014): 287–89. http://dx.doi.org/10.2478/eletel-2014-0037.

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Abstract Coal mine methane is a term given to the methane gas produced or emitted in association with coal mining activities either from the coal seam itself or from other gassy formations underground. The primary reason for measuring methane is to improve the safety of the mines. In recent years, there have been many fatalities in underground coal mine explosions in which methane was a contributing factor. The rapid detection of methane is very important from the point of view of safety of mine workers. This paper presents a concept of fast methane detection by reconstituting its concentration in dynamic states.

Khattar, Prerna. "A Smart Helmet for Secure Monitoring of Miner Data to Improve Safety". International Journal for Research in Applied Science and Engineering Technology 10, n. 4 (30 aprile 2022): 2812–18. http://dx.doi.org/10.22214/ijraset.2022.41393.

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Abstract: In recent times, mining has been a dangerous activity taking a severe toll on the lives of miners. Underground mining hazards include gas poisoning, suffocation, roof collapse, and gas explosion. This project aims to develop a smart helmet based on Zigbee wireless technology to build wireless sensor networks for real-time surveillance and monitoring hazardous gases and abnormal levels of temperature and humidity in the mine. These three parameters are continuously being detected using the gas sensor(s), temperature and humidity sensor, and if the predefined limit is crossed, a buzzer and LED will be initiated. Two infrared sensors, one inside and one on the surface of the helmet, are placed to check if the helmet is properly placed and to detect collision from falling debris, respectively. These values are continuously being transmitted to the control room for monitoring. In case of any hazardous situation, the led and buzzer are activated in the control room as well as on the miner’s helmet. The helmet is powered by the energy generated from piezoelectric sensors placed in the miner’s shoes, which work on the principle of vibration detected from the miner’s movement. The safety measures included in our project can drastically help us avoid mining accidents and thus saving invaluable lives. Keywords: Smart helmet, Zigbee Technology, Gas sensor, Temperature and Humidity sensor, Infrared Sensor, Coal mines, Safety

Long, Yue Hong. "Design of Underground Gas Concentration and Humidity Monitoring System Based on RS-485". Advanced Materials Research 989-994 (luglio 2014): 2962–64. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2962.

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In order to achieve long distance monitoring of gas concentration and humidity underground coal mine,a new monitor of gas concentration and humidity,which contains upper computer,master station and a lot of monitoring points,is designed.Every monitoring point is consisted of gas concentration sensor MJC4/3.0L and humidity sensor HS1101,which is used to conveys the data to master station by RS-485,again by RS-485 transmitted to the upper computer and it realizes the real-time monitoring of gas concentration and humidity undereground coal mine.

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Tesi sul tema "Underground Gas Sensor":

Taher, Mohammad Iktiham Bin. "New HEMT Type Sensors for In-situ Bio‐Geochemical Analysis". Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0229.

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Une nouvelle classe de capteurs de gaz innovants basée sur des transistors à haute mobilité électronique (HEMT) AlGaN/GaN a été développée pour les applications géologiques. Elle est conçue dans le but d'étudier le transfert de masse des gaz (H2, CO2, CH4, O2, H2S, SO2 et He) entre le sous-sol et l'atmosphère sur de grandes étendues géographiques. Pour cela, elle intègre les caractéristiques clé suivantes : la miniaturisation, la robustesse, l'insensibilité aux environnements difficiles associées à un coût contenu. Les étapes technologiques comme la conception des capteurs, les technologies de micro-fabrication et l'optimisation des performances électriques des HEMT ont été continuellement étudiées et améliorées tout au long du travail. Ainsi, des densités de courant supérieures à 400 mA/mm, un courant de pincement = ~1×10-5 A et une transconductance = ~0,03 S/mm ont été atteints dans certaines conditions de polarisation. Les capteurs HEMT AlGaN/GaN traités avec différentes couches fonctionnelles (Pt, ITO et IZO) ont aussi été fabriqués et caractérisés pour différents gaz (H2, CO2, CH4 et He) en laboratoire et en environnement souterrain (Forage de 51 m) dans différentes conditions environnementales (température= 25 à 450°C, humidité= 0 à 100%). Grace à ces mesures, les enthalpies d'adsorption d'hydrogène ont été mesurées sur divers matériaux de détection tels que Pt, ITO et IZO et sont de -30.3 kJ mol^(-1), -32.5 kJ 〖mol〗^(-1) et -34 kJ 〖mol〗^(-1), respectivement. Ces valeurs indiquent que ITO et IZO sont complémentaires de Pt pour le développement d'un capteur d'hydrogène gazeux. Les HEMTs Pt/AlGaN/GaN ont été également été étudiés pour optimiser les performances des capteurs d'hydrogène dans l'air atmosphérique pur et dans le diazote afin de simuler les conditions souterraines, où la concentration d'O2 change avec la profondeur du sol. L'analyse thermodynamique montre que pour le Pt, l'affinité de H2 est environ 2000 fois supérieure à celle de l'O2. Cela rend le capteur adapté à la détection d'O2 dans l'air ou de divers mélanges d'O2 et de H2 en fonction des différentes profondeurs souterraines impliquées. Un lot de capteurs de gaz spécifique a été fabriqué avec des composants de capteur passivés (càd, non-actifs) comme référence pour la détection de gaz (capteur actif). Le capteur actif Pt/AlGaN/GaN fournit un changement de courant indiquant la présence de H2, tandis que le capteur non-actif n'indique aucun changement de courant en relation avec le gaz. Le capteur non-actif permet de suivre et d'éliminer les changements causés par les paramètres environnementaux externes comme la température. Cette thèse présente également de nouvelles techniques de mesure utilisant la polarisation par impulsions pour la détection des gaz souterrains avec les HEMT Pt-AlGaN/GaN. Au lieu d'imposer une polarisation d'entrée continue (toujours dans état ON) sur une longue période, le capteur est activé plusieurs fois successivement avec des impulsions sur de courtes périodes (état ON/OFF). Les capteurs ont ainsi montré une réponse rapide au gaz sous la forme d'une variation de courant significative jusqu'à des concentrations de 25 ppm. Toutes les expériences menées dans le cadre de cette étude ont démontré que les capteurs peuvent fonctionner dans divers scénarios de mesure susceptibles de se produire dans la situation réelle de détection de gaz en contexte géologique souterrain
An innovative gas sensor generation based on AlGaN/GaN High Electron Mobility Transistor (HEMT) has been developed for complex geological environments. It is designed to study the mass transfer of gases (H2, CO2, CH4, O2, H2S, SO2, and He) from the underground to the Earth's atmosphere. It incorporates the key features for subsurface gas sensor development such as miniaturization, robustness, insensitivity to harsh environments, and low cost.Technological steps, design of the sensor layouts, micro-fabrication techniques, and optimization of the electrical performance of the HEMTs have been continuously investigated and improved. Current densities above 400 mA/mm and pinch-off current= (~1×10-5 A), and transconductance (gm)= ~0.03 S/mm have been achieved for certain bias conditions. At the same time, the processed AlGaN/GaN HEMT sensors with different functional layers (Pt, ITO, and IZO) are fabricated and characterized for different gases (H2, CO2, CH4, and He) in the laboratory, and real subsurface conditions (Borehole: 51 m) under different environmental conditions (temperature= 25 to 450°C, humidity= 0 to 100%). The measured adsorption enthalpies of hydrogen onto various sensing materials like Pt, ITO, and IZO are calculated -30.3 kJ mol^(-1), -32.5 kJ 〖mol〗^(-1), and -34 kJ 〖mol〗^(-1), respectively, indicating that ITO and IZO are complementary to Pt for the development of a hydrogen gas sensor.Pt/AlGaN/GaN-based HEMT devices have been studied to evaluate the performance of hydrogen sensors in pure atmospheric air and a fully N2-based atmosphere to simulate subsurface conditions where the O2 concentration changes over the depth of the soil. From the thermodynamic analysis, the affinity of hydrogen for Pt was found nearly 2000 times greater than the affinity of oxygen for platinum. This makes the sensor suitable for detecting hydrogen in the air or various mixtures of O2 and H2 at different underground depths imply.A dedicated gas sensor batch has been fabricated with passivated (i.e., non-active) sensor components as a reference for gas detection (active sensor). The active sensor Pt/AlGaN/GaN provided a change in current indicating a response to the hydrogen exposure, while the non-active (Passivated-Pt/AlGaN/GaN) provides no changes in current. But non-active sensor (reference) tracks and eliminates the changes caused by external environmental parameters.This thesis also presents new measurement techniques using pulse polarization for subsurface gas detection with a Pt-AlGaN/GaN HEMT sensor. Instead of imposing a continuous input bias (which always maintains the ON state) over a long period of the experiment, the sensor is activated several times with pulsed polarization for a short period of time (ON/OFF state). The sensors showed a sufficiently fast response to the target gas by changing the drain current in pulsed bias mode with a linear increase in output current even at very low concentrations such as 25 ppm. All the experiments conducted in the study demonstrated that the sensors could work in various measurement scenarios that may occur in the real situation of subsurface gas detection

Chandravanshi, Varsha. "Real Time Gas Monitoring System Using Wireless Sensor Network". Thesis, 2016. http://ethesis.nitrkl.ac.in/8563/1/2016_MT_214MN1509_Varsha_Chandravanshi.pdf.

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Miner’s safety is the main issue in the present era. Miner’s health is affected by many means which includes unstable and cumbersome underground activities and awkward loads, heavy tools and equipment, exposure to toxic dust and chemicals, gas or dust explosions, improper use of explosives, gas intoxications, collapsing of mine structures, electrical burn, fires, flooding, rock falls from roofs and side walls workers stumbling/slipping/falling, or errors from malfunctioning or improperly used mining equipment. In earlier days for detection of gases canary and small animals are used but they didn’t provide the exact condition of the mines so safety in the mine in not guaranteed. Hence, there is a need of monitoring system which utilised the ZigBee wireless sensor network technology. There are two units of the monitoring system Sensor unit and Monitoring unit. Sensor unit will be placed in the underground section and Monitoring unit will be placed in the above the mines from where monitoring is done. Firstly, the Sensor unit is placed in the underground section of the mine. Where input is taken from the sensors in terms of Methane (CH4) i.e. MQ-2 sensor, Hydrogen Sulphide (H2S) i.e. MQ-136 sensor, and Natural Gases i.e. MQ-5 sensor. Then they are compared with their threshold value by the Microcontroller Module and if the value is above the threshold value, the Buzzer starts ringing meanwhile data is displayed in the Display module and sent to the Wireless Communication Module of the Monitor unit i.e. ends device or coordinator through the Wireless Communication Module of the Sensor unit i.e. router. In this way, the study can help the miners get relief from any casualty and ultimately save their lives. The device encompasses a large range of networking. The data can also be stored for future investigation. The device is also durable and costs effective with a price of approx. Rs. 6,500 to 7,000/-.

Srivastava, Sumit Kumar. "Real Time Monitoring System for Mine Safety Using Wireless Sensor Network (Multi-Gas Detector)". Thesis, 2015. http://ethesis.nitrkl.ac.in/6942/1/Real_Shrivastav_2015.pdf.

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Today safety of miners is a major challenge. Miner’s health and life is vulnerable to several critical issues, which includes not only the working environment, but also the after effect of it. Mining activities release harmful and toxic gases in turn exposing the associated workers into the danger of survival. This puts a lot of pressure on the mining industry. To increase the productivity and reduce the cost of mining along with consideration of the safety of workers, an innovative approach is required. Miner’s health is in danger mainly because of the toxic gases which are very often released in underground mines. These gases cannot be detected easily by human senses. This thesis investigates the presence of toxic gases in critical regions and their effects on miners. A real time monitoring system using wireless sensor network, which includes multiple sensors, is developed. This system monitors surrounding environmental parameters such as temperature, humidity and multiple toxic gases. This system also provides an early warning, which will be helpful to all miners present inside the mine to save their life before any casualty occurs. The system uses Zigbee technology to establish wireless sensor network. It is wireless networking standard IEEE 802.15.4, which is suitable for operation in harsh environment.

Libri sul tema "Underground Gas Sensor":

E, Varner Katrina, Portnoff Marc A, Grace Richard, Hibner Jeff, Carnegie-Mellon Institute of Research e National Exposure Research Laboratory (U.S.), a cura di. Measurement and analysis of vapor sensors used at underground storage tank sites. Research Triangle Park, NC: National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1995.

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Marc, Portnoff, e Environmental Monitoring Systems Laboratory (Las Vegas, Nev.), a cura di. Measurement and analysis of adsistor and figaro gas sensors used for underground storage tank leak detection: Project summary. Las Vegas, NV: U.S. Environmental Protection Agency, Research and Development, Environmental Monitoring Systems Laboratory, 1993.

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Measurement and analysis of vapor sensors used at underground storage tank sites. Research Triangle Park, NC: National Exposure Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1995.

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Measurement and analysis of adsistor and figaro gas sensors used for underground storage tank leak detection. Las Vegas, Nev: Environmental Monitoring Systems Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1993.

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Capitoli di libri sul tema "Underground Gas Sensor":

AlShehri, Abdallah A., e Klemens Katterbauer. "A Deep Learning Framework to Optimize Underground Wireless Sensors Network Performance in Oil and Gas Reservoirs Environment". In Lecture Notes in Networks and Systems, 378–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16078-3_25.

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Manigandan, P., C. Balaji, M. Ramanan e S. Ragul. "Wireless Underground Sensor Network for Monitoring Various Fields Using Magnetic Induction". In Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210297.

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The frequent accidents of mining safety caused severe losses and massive cost losses. The global mining sector urgently needs to improve operational efficiency and the overall safety of mines. This article suggests a WUSN based mining safety monitoring. The monitoring system collects temperature, moisture, soil vibration and gas values around the mine, and then transmits the data through wireless underground sensor network. Here Transmission based on magnetic induction (MI) is being suggested, in this approach soil is medium for communication so based on the soil conductivity the measured information are transferred. It is also an early warning system, which will help all miners in the mine to save their lives before a victim happens.

Chaulya, S. K., e G. M. Prasad. "Gas Sensors for Underground Mines and Hazardous Areas". In Sensing and Monitoring Technologies for Mines and Hazardous Areas, 161–212. Elsevier, 2016. http://dx.doi.org/10.1016/b978-0-12-803194-0.00003-9.

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Sable, Nilesh P., Vijay U. Rathod, Parikshit N. Mahalle, Jayashri Bagade e Rajesh Phursule. "Internet of Things-based Smart Sensing Mechanism for Mining Applications". In IoT and Big Data Analytics, 132–49. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815179187123040012.

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According to the English lexicon, mining is the extraction of coal or other natural minerals from a mine. Extracting these natural minerals is extremely risky, and employees' lives are at stake. Mining workers are exposed to a dangerous underground environment that can cause harm or even death. Some of these injuries or fatalities can be traced back to human error. However, several physical factors or reasons for such a subterranean environment might be blamed for these mishaps. It is not easy to monitor without endangering someone's life. Previously, companies depended on manual processes where an individual would physically inspect the situation, make observations, and submit a report. This technique was too hazardous since the person monitoring a specific threat may be harmed by the same hazard. As a result, this has been the mining industry's most serious challenge for a long time. A smart system can detect problems and communicate information to the relevant authorities before anything hazardous occurs due to this procedure. This smart network system uses wireless sensors and an IoT platform. Gas, temperature, humidity, and vibration sensors are the various types of sensors used to detect the presence of any toxic gas, monitor the temperature, identify the amount of humidity in the air, and monitor subsurface tremors, respectively. All of these sensors are linked together, and the data collected by these sensors is subsequently sent to the cloud for processing. This analysis will assist the system in understanding subsurface behavioural changes, and as a result, it will be able to provide warnings of impending dangerous circumstances. The Raspberry Pi and the Raspberries operating system are used for data analysis. This smart system intends to lower the risk of accidents and infections, benefiting workers and the company's economy.Such IoT architecture in the mining industry, which combines operational technology (OT) and information technology (IT), provides a safer mine site for workers, reliable mining operations, a highly integrated environment for both traditional and innovative sensors and equipment, automation that can reduce human intervention and covert surveillance. This research aims to increase IoT adoption in the mining sector by combining a high-level architecture, complying with all industry standards and guidelines, and addressing the mining industry's specific challenges.

Atti di convegni sul tema "Underground Gas Sensor":

Reimann, Peter, Stephan Horras e Andreas Schutze. "Field-test system for underground fire detection based on semiconductor gas sensor". In 2009 IEEE Sensors. IEEE, 2009. http://dx.doi.org/10.1109/icsens.2009.5398337.

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Li, Sanguo, Zhanxiong Wei, Zhifan Yin e Hong-Liang Cui. "Optical fiber gas sensor for remote detection of CH 4 gas in underground mines". In Nondestructive Evaulation for Health Monitoring and Diagnostics, a cura di Norbert Meyendorf, George Y. Baaklini e Bernd Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.599837.

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Ma, Fengying. "Optimization of coal mine gas sensor based on simulation and underground electromagnetic measure". In 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, 2012. http://dx.doi.org/10.1109/ccdc.2012.6243055.

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Amanzadeh, Mohammad, Saiied M. Aminossadati, Mehmet S. Kizil, Eoin Sheridan e Warwick P. Bowen. "A microfabricated fibre optic sensor for methane gas measurement in underground coal mines". In 2012 Photonics Global Conference (PGC). IEEE, 2012. http://dx.doi.org/10.1109/pgc.2012.6457999.

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Ma, Fengying. "Sensor networks-based monitoring and fuzzy information fusion System for underground Gas disaster". In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6233974.

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Alfonso, Ivan, Camilo Gomez, Kelly Garces e Jaime Chavarriaga. "Lifetime optimization of Wireless Sensor Networks for gas monitoring in underground coal mining". In 2018 7th International Conference on Computers Communications and Control (ICCCC). IEEE, 2018. http://dx.doi.org/10.1109/icccc.2018.8390462.

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Lee, Allan, Christopher Barclay, David Xu, Bjorn Paulsson, Michael Wylie e Ruiqing He. "All Optical Multi-Sensor Well Monitoring System to Survey and Monitor Gas Storage Operations". In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87311.

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Abstract (sommario):

Abstract Paulsson, Inc. (PI) has partnered with Pacific Gas & Electric (PG&E) and California Energy Commission (CEC) funded by the CEC grant PIR-19-001, to develop and apply cost-effective, all-optical Underground Gas Storage (UGS) reservoir surveying and monitoring technologies. This project was to determine the capabilities that fiber optic sensor technology may have in monitoring a natural gas wellbore and reservoir. The project goals and objectives include designing, prototyping, third party laboratory testing, building and installing a borehole all optical multi-sensor array into a well drilled at UGS facility. The optical sensor system has recorded a number of nearby small earthquakes which have provided the seismic sources that will be used for site characterization. The optical sensor array has also recorded large earthquakes in Japan, Peru and Fiji. The array will be used to characterize and monitor the gas injection and withdrawal operations for a number of months. The preliminary results of this project are discussed describing some potential applications for use.

Song, Wen. "A remote mobile gas monitoring and power-off control system based on internet of things in underground coal mine". In 2015 2nd International Conference on Wireless Communication and Sensor Network (WCSN 2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813140011_0052.

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Sharma, Mayank, e Tanmoy Maity. "Fault-tolerant multi-sensor data fusion system for underground mine gas hazard prediction using Dempster Shafer Evidence Theory". In 2022 IEEE 6th Conference on Information and Communication Technology (CICT). IEEE, 2022. http://dx.doi.org/10.1109/cict56698.2022.9997894.

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Parmar, Kaushik, Chaneel Park e Simon Park. "Robust Direct Hydrocarbon Sensor Based on Novel Carbon Nanotube Nanocomposites for Leakage Detection". In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64118.

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Leakage in oil and gas infrastructure, often cause significant financial losses, severe damage to the environment and raises public concern. In order to minimize the impact of spills, quick detection of a leak and a rapid response are needed. The systems currently employed to detect pipeline leakage range from simple visual checking to complex hardware and software systems such as mass balance, pressure point analysis, flow deviation, acoustic emission systems, and fibre-optic-based sensing technologies. These methods are useful, but there are certain limitations. The main drawback of the majority of these leak detection technologies is that they detect leakage indirectly, often unable to detect the leakage until the major spill. The preventive monitoring system and direct detection of hydrocarbon leakage are urgently needed to enable fast response and timely repairs with less deleterious effects. Research is being conducted for the development of a functional prototype and environmental testing of in-situ carbon nanotube (CNT) nanocomposite based sensors for hydrocarbon leakage detection. The CNT nanocomposite offers a unique approach to the direct hydrocarbon leakage detection in pipelines and aboveground storage tanks (ASTs). Expanding the study from the previous report of sensor characteristics under the optimal ambient condition, it was further investigated to identify the sensor performance under harsh conditions such as the underground (exposed to the soil) with compost and moisture, high pressure, changing temperature and long-term exposure to the outdoor environment. Investigation of the sensor behavior is studied, and a performance matrix is developed that accounts for the change in sensor response to various environmental conditions. Results showed that the proposed CNT nanocomposite sensor was applicable under given conditions with immediate responses while maintaining high sensitivity to the hydrocarbon leakage. Once a list of sensor detection specifications is defined, it is anticipated that the CNT sensor technology is applicable as part of a robust, reliable and accurate early detection system for the pipeline industry.

Rapporti di organizzazioni sul tema "Underground Gas Sensor":

Bora. PR-004-14604-R01 Miniaturized Gas Chromatography and Gas Quality Sensor. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), giugno 2015. http://dx.doi.org/10.55274/r0010869.

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The natural gas industry currently relies on gas chromatography to evaluate the composition of natural gas including alkanes, carbon dioxide, nitrogen, and oxygen. The higher and lower heating values, Wobbe Index, Hydrocarbon Dewpoint, Methane Number, and viscosity are all calculated from the gas composition. The need to understand the composition of fuel gas and to monitor its components is crucial to the natural gas industry. Monitoring the composition of the fuel gas provides the industry with the capability of protecting valuable underground assets, delivering gas that meets end-usage requirements, and tracking of constituents for both billing purposes and to ensure compliance with tariff agreements. As with any technology, there are limitations to gas chromatography. Limitations can include high cost, time delay, inability to sample at high pressure, and selectiveness of gas chromatography detectors. This project consisted of a technology assessment of currently available and emerging technologies including micro gas chromatographs, optical spectrometers, and mass spectrometers for their ability to determine gas composition compared to current GC technology. Technologies were investigated and assessed by their analytical characteristics (what components they could analyze and detection limits), their sampling characteristics (sampling pressure limits, scan time, and emissions), and their operational characteristics (availability, cost, consumables, maintenance, and packaging). Recommendations for further testing were made on the technologies whose characteristics showed the most promise for analysis of natural gas at custody transfer points.