Development of Resistive-type IoT-Based Methane Gas Concentration Transmitter Using SnO2 Material

被引:0
|
作者
Ghosh A. [1 ]
Mondal B. [2 ]
Mondal S. [3 ]
Hazra T. [4 ]
Biswas A. [5 ]
机构
[1] Department of Electrical Engineering, Techno Polytechnic Durgapur, West Bengal, Panagarh
[2] Department of Applied Electronics and Instrumentation Engineering, Asansol Engineering College, West Bengal, Asansol
[3] Department of Computer Science and Engineering, NSHM Knowledge Campus, West Bengal, Durgapur
[4] Department of Mining Engineering, Kazi Nazrul University, West Bengal, Asansol
[5] Centre of IoT and AI Integration with Education-Industry-Agriculture and School of Mines and Metallurgy, Kazi Nazrul University, West Bengal, Asansol
关键词
IoT; Methane concentration measurement; SnO[!sub]2[!/sub] sensor; Wi-Fi module;
D O I
10.1007/s40033-022-00436-9
中图分类号
学科分类号
摘要
Many conventional sensors are used in industries since industrial methane sensing is critical. In the present case, a SnO2 layer is the sensing medium for methane that decreases its electrical resistance with increase in methane concentration. A Wheatstone bridge detects the decrease in resistance, thereby converting it to a suitable voltage. Since the environment where methane gas would be present is hazardous, electrical communication is impossible through a physical network. Instead, the authors have taken the help of the Internet of Things (IoT) for data communication purpose which has become much more feasible nowadays for communicating data in a hazardous environment. The mathematical relationship of the methane concentration with the transmitted current and voltage is found by theoretically analyzing the proposed methane sensor. The authors have tested the proposed system of methane concentration measurement experimentally. The paper presents the experimental results with reasonable accuracy, sensitivity, and linearity. [Figure not available: see fulltext.]. © 2022, The Institution of Engineers (India).
引用
收藏
页码:515 / 529
页数:14
相关论文
共 50 条
  • [21] Progress toward a novel methane gas sensor based on SnO2 nanorods-nanoporous graphene hybrid
    Kooti, Mohammad
    Keshtkar, Sahar
    Askarieh, Mojtaba
    Rashidi, Alimorad
    [J]. SENSORS AND ACTUATORS B-CHEMICAL, 2019, 281 : 96 - 106
  • [22] Development of SnO2 based semiconductor gas sensor with Fe2O3 for detection of combustible gas
    Han, KR
    Kim, CS
    Kang, KT
    Koo, HJ
    Kang, DI
    He, JW
    [J]. JOURNAL OF ELECTROCERAMICS, 2003, 10 (01) : 69 - 73
  • [23] Development of SnO2 Based Semiconductor Gas Sensor with Fe2O3 for Detection of Combustible Gas
    Kyoung Ran Han
    Chang-Sam Kim
    Keon Taek Kang
    Hee Jin Koo
    Deok II Kang
    Jingwen He
    [J]. Journal of Electroceramics, 2003, 10 : 69 - 73
  • [24] Rapid detection of hazardous gas using one SnO2 gas sensor based on dynamic measurement
    Liu, JH
    Meng, FL
    Huang, XJ
    Xu, WH
    Huang, JR
    [J]. ICIA 2004: Proceedings of 2004 International Conference on Information Acquisition, 2004, : 113 - 115
  • [25] Development of Micro-hotplate with TaN Heater Based Cu-doped SnO2 Gas Sensor for Low Concentration of H2S Gas
    Chiou, Jin-Chern
    Tsai, Shang-Wei
    Lin, Chia-Yang
    Chiou, Jin-Chern
    [J]. 2013 IEEE SENSORS, 2013, : 113 - 116
  • [26] Work Function as a Useful Feature for Development of SnO2 Nanowires Based Gas Sensing Devices
    Bianchi, S.
    Comini, E.
    Faglia, G.
    Sberveglieri, G.
    Arbiol, J.
    Morante, J. R.
    [J]. 2006 IEEE SENSORS, VOLS 1-3, 2006, : 346 - +
  • [27] Design and Development of a 220-kV Resistive-Type Fault Current Limiters Based on 2G-Coated Conductors
    Jingye Zhang
    Yuping Teng
    Qingquan Qiu
    Liwei Jing
    Lianqi Zhao
    Xi Xu
    Weiwei Zhou
    Zhiqin Zhu
    Guomin Zhang
    Liangzhen Lin
    Liye Xiao
    [J]. Journal of Superconductivity and Novel Magnetism, 2019, 32 : 3779 - 3787
  • [28] Design and Development of a 220-kV Resistive-Type Fault Current Limiters Based on 2G-Coated Conductors
    Zhang, Jingye
    Teng, Yuping
    Qiu, Qingquan
    Jing, Liwei
    Zhao, Lianqi
    Xu, Xi
    Zhou, Weiwei
    Zhu, Zhiqin
    Zhang, Guomin
    Lin, Liangzhen
    Xiao, Liye
    [J]. JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM, 2019, 32 (12) : 3779 - 3787
  • [29] SnO2 mesoporous nanoparticle-based gas sensor for highly sensitive and low concentration formaldehyde detection
    Liu, Pengfei
    Wang, Jianbin
    Jin, Han
    Ge, Meiying
    Zhang, Fang
    Wang, Cheng
    Sun, Yan
    Dai, Ning
    [J]. RSC ADVANCES, 2023, 13 (04) : 2256 - 2264
  • [30] Identification of organic compounds using a multisensor detector based on SnO2 films in gas chromatography
    Efimov, I. I.
    Povarov, V. G.
    [J]. FOURTH INTERDISCIPLINARY SCIENTIFIC FORUM WITH INTERNATIONAL PARTICIPATION NEW MATERIALS AND PROMISING TECHNOLOGIES, 2019, 525