IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i23p8917-d984061.html
   My bibliography  Save this article

The Development of the Toxic and Flammable Gases Concentration Monitoring System for Coalmines

Author

Listed:
  • Alexander Vitalevich Martirosyan

    (System Analysis and Control Department, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia)

  • Yury Valerievich Ilyushin

    (System Analysis and Control Department, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia)

Abstract

Coal mining is still an important part of the global energy complex. Despite the active development of technologies and modern equipment, coal mining remains one of the most dangerous jobs in the world. The main danger is associated with a large number of the hard-predictable factors, such as the opening of a toxic and flammable gas blister, the collapse of a mine due to a violation of the mines’ structural integrity, etc. There are software and hardware systems capable of monitoring the necessary parameters, but the problem lies in the complexity and costliness of the implementation and maintenance, so even for the largest enterprises, the widespread implementation of such systems is unprofitable. Previously conducted studies have established that most of the developed coal mining monitoring systems are very expensive to implement and labor-consuming to use and support. This article proposes to consider the developed prototype of a system for toxic and flammable gases concentration real-time monitoring, capable of reading the information with sufficient speed and transferring it to a system which triggers the response mechanism in cases where the specified concentration limits would be exceeded.

Suggested Citation

  • Alexander Vitalevich Martirosyan & Yury Valerievich Ilyushin, 2022. "The Development of the Toxic and Flammable Gases Concentration Monitoring System for Coalmines," Energies, MDPI, vol. 15(23), pages 1-13, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8917-:d:984061
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/23/8917/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/23/8917/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergey Slastunov & Konstantin Kolikov & Andrian Batugin & Anatoly Sadov & Adam Khautiev, 2022. "Improvement of Intensive In-Seam Gas Drainage Technology at Kirova Mine in Kuznetsk Coal Basin," Energies, MDPI, vol. 15(3), pages 1-12, January.
    2. Xusheng Xue & Chuanwei Wang & Hongwei Ma & Qinghua Mao & Xiangang Cao & Xuhui Zhang & Guangming Zhang, 2022. "Self-Derived Wavelet Compression and Self Matching Reconstruction Algorithm for Environmental Data in Complex Space of Coal Mine Roadway," Energies, MDPI, vol. 15(20), pages 1-16, October.
    3. Ekaterina Golovina & Karina Karennik, 2021. "Modern Trends in the Field of Solving Transboundary Problems in Groundwater Extraction," Resources, MDPI, vol. 10(10), pages 1-15, October.
    4. Abdulilah Mohammad Mayet & Seyed Mehdi Alizadeh & Karina Shamilyevna Nurgalieva & Robert Hanus & Ehsan Nazemi & Igor M. Narozhnyy, 2022. "Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems," Energies, MDPI, vol. 15(6), pages 1-19, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ján Kačur & Marek Laciak & Milan Durdán & Patrik Flegner & Rebecca Frančáková, 2023. "A Review of Research on Advanced Control Methods for Underground Coal Gasification Processes," Energies, MDPI, vol. 16(8), pages 1-36, April.
    2. Qianjun Chen & Zhengmeng Hou & Xuning Wu & Shengyou Zhang & Wei Sun & Yanli Fang & Lin Wu & Liangchao Huang & Tian Zhang, 2023. "A Two-Step Site Selection Concept for Underground Pumped Hydroelectric Energy Storage and Potential Estimation of Coal Mines in Henan Province," Energies, MDPI, vol. 16(12), pages 1-21, June.
    3. Boris V. Malozyomov & Vladimir Ivanovich Golik & Vladimir Brigida & Vladislav V. Kukartsev & Yadviga A. Tynchenko & Andrey A. Boyko & Sergey V. Tynchenko, 2023. "Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors," Energies, MDPI, vol. 16(11), pages 1-16, May.
    4. Diguang Gong & Junbin Chen & Cheng Cheng & Yuanyuan Kou & Haiyan Jiang & Jianhong Zhu, 2023. "Numerical Simulation on Radial Well Deflagration Fracturing Based on Phase Field Method," Energies, MDPI, vol. 16(12), pages 1-14, June.
    5. Yongkang Yang & Xuecong Xu & Chenlong Wang, 2023. "Study on the Mechanism of Surrounding Rock Deformation and Its Control for Roof Cutting Retained Gob-Side Entry in Close-Distance Coal Seams Co-Mining," Energies, MDPI, vol. 16(11), pages 1-17, May.
    6. Junwen Cao & Ting Liu & Yu Shi & Baiquan Lin & Jiahao Shen & Youping Xu & Xiangming Gong & Yanchi Liu, 2023. "Strata Movement of Overburden-Separation Grouting Working Face and Its Influence on Gas Emission during Mining," Sustainability, MDPI, vol. 15(17), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boris V. Malozyomov & Vladimir Ivanovich Golik & Vladimir Brigida & Vladislav V. Kukartsev & Yadviga A. Tynchenko & Andrey A. Boyko & Sergey V. Tynchenko, 2023. "Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors," Energies, MDPI, vol. 16(11), pages 1-16, May.
    2. Ivan Lange & Pavel Kotiukov & Yana Lebedeva, 2023. "Analyzing Physical-Mechanical and Hydrophysical Properties of Sandy Soils Exposed to Long-Term Hydrocarbon Contamination," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    3. Abdulilah Mohammad Mayet & Tzu-Chia Chen & Ijaz Ahmad & Elsayed Tag Eldin & Ali Awadh Al-Qahtani & Igor M. Narozhnyy & John William Grimaldo Guerrero & Hala H. Alhashim, 2022. "Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow," Mathematics, MDPI, vol. 10(19), pages 1-13, September.
    4. Aleksey Dengaev & Vladimir Shishulin & Elena Safiullina & Aleksandra Palyanitsina, 2022. "Modeling Results for the Real Horizontal Heavy-Oil-Production Well of Mechanical Solids," Energies, MDPI, vol. 15(14), pages 1-13, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8917-:d:984061. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.