Добірка наукової літератури з теми "Underground Gas Sensor"
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Статті в журналах з теми "Underground Gas Sensor":
Hou, Longfei, Dan Wang, Bingxuan Du, Xinmin Qian, and Mengqi Yuan. "Gas concentration detection via multi-channeled air sampling method." Sensor Review 37, no. 2 (March 20, 2017): 187–95. http://dx.doi.org/10.1108/sr-12-2016-0266.
Wang, Qiang, Tao Cheng, Yijun Lu, Haichuan Liu, Runhua Zhang, and Jiandong Huang. "Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor." Sensors 24, no. 4 (February 17, 2024): 1285. http://dx.doi.org/10.3390/s24041285.
Reddy, Vijaya Bhasker, Bhumisha Chouhan, Abhishek, Mahadev Bhosle, Chandra Shekar, T. Santhosh Kumar, and 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.
Ma, Feng Ying. "Optimal Sensor Placement Based on Simulation of Gas Distribution in Underground Heading Face." Advanced Materials Research 562-564 (August 2012): 1788–91. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1788.
Kalsi, Harjinderpal Singh. "To Monitor Real-time Temperature and Gas in an Underground Mine Wireless on an Android Mobile." Scientific Temper 13, no. 02 (December 12, 2022): 14–18. http://dx.doi.org/10.58414/scientifictemper.2022.13.2.02.
Firmansyah, Firmansyah, and Darius Agung Prata. "DESIGN OF LABORATORY SCALE REAL-TIME MONITORING SYSTEM FOR UNDERGROUND MINING USING WIRELESS NETWORK." Cyberspace: Jurnal Pendidikan Teknologi Informasi 6, no. 1 (March 31, 2022): 1. http://dx.doi.org/10.22373/cj.v6i1.12997.
Hong, Mei. "Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 10 (October 26, 2018): 68. http://dx.doi.org/10.3991/ijoe.v14i10.9304.
Krupanek, Beata. "Dynamic Error Correction of Methane Sensor." International Journal of Electronics and Telecommunications 60, no. 4 (December 23, 2014): 287–89. http://dx.doi.org/10.2478/eletel-2014-0037.
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, no. 4 (April 30, 2022): 2812–18. http://dx.doi.org/10.22214/ijraset.2022.41393.
Long, Yue Hong. "Design of Underground Gas Concentration and Humidity Monitoring System Based on RS-485." Advanced Materials Research 989-994 (July 2014): 2962–64. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2962.
Дисертації з теми "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.
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.
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.
Книги з теми "Underground Gas Sensor":
E, Varner Katrina, Portnoff Marc A, Grace Richard, Hibner Jeff, Carnegie-Mellon Institute of Research, and National Exposure Research Laboratory (U.S.), eds. 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.
Marc, Portnoff, and Environmental Monitoring Systems Laboratory (Las Vegas, Nev.), eds. 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.
Marc, Portnoff, and Environmental Monitoring Systems Laboratory (Las Vegas, Nev.), eds. 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.
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.
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.
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.
Частини книг з теми "Underground Gas Sensor":
AlShehri, Abdallah A., and 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.
Manigandan, P., C. Balaji, M. Ramanan, and 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.
Chaulya, S. K., and 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.
Sable, Nilesh P., Vijay U. Rathod, Parikshit N. Mahalle, Jayashri Bagade, and 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.
Тези доповідей конференцій з теми "Underground Gas Sensor":
Reimann, Peter, Stephan Horras, and 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.
Li, Sanguo, Zhanxiong Wei, Zhifan Yin, and 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, edited by Norbert Meyendorf, George Y. Baaklini, and Bernd Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.599837.
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.
Amanzadeh, Mohammad, Saiied M. Aminossadati, Mehmet S. Kizil, Eoin Sheridan, and 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.
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.
Alfonso, Ivan, Camilo Gomez, Kelly Garces, and 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.
Lee, Allan, Christopher Barclay, David Xu, Bjorn Paulsson, Michael Wylie, and 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.
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.
Sharma, Mayank, and 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.
Parmar, Kaushik, Chaneel Park, and 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.
Звіти організацій з теми "Underground Gas Sensor":
Bora. PR-004-14604-R01 Miniaturized Gas Chromatography and Gas Quality Sensor. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2015. http://dx.doi.org/10.55274/r0010869.