PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Methane concentration measurements in the longwall area as a data source for the assessment of methane hazard

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article discusses the challenges of coal mine safety, particularly methane hazards, in the context of decreasing workforce and the need for more autonomous solutions. As hard coal production faces a phase-out due to international energy policies, the mining industry struggles with retaining skilled workers. The Sectional Methane Hazard Detection System (SDZM ) is proposed as an autonomous solution to detect methane hazards by measuring methane concentrations along underground workings. The system operates using a series of algorithms that analyze the concentration data and identify hazard zones without the need for highly qualified personnel. The SDZM method involves collecting methane concentration data from different sections of the mining operation and comparing them to reference profiles to assess potential hazards. A study conducted in the 841A longwall area of KWK B mine used simulations to assess methane distribution, which was then used to test the SDZM system’s algorithms. The results show that the system can accurately detect high methane hazard levels, with sensitivity varying depending on the parameters set, such as the tolerance field for methane concentration changes. The study concluded that the SDZM system is effective in detecting methane hazards, requiring minimal additional skills from workers. The system’s performance can be enhanced by adjusting parameters like the methane concentration tolerance field, though excessively narrow tolerances could lead to false positives. Overall, the SDZM provides a valuable tool for enhancing safety in mines by autonomously identifying high-risk areas related to methane emissions.
Rocznik
Strony
675--684
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
  • Methane Concentration Measurements in the Longwall Area as a Data Source for the Assessment of Methane Hazard
  • Methane Concentration Measurements in the Longwall Area as a Data Source for the Assessment of Methane Hazard
  • Methane Concentration Measurements in the Longwall Area as a Data Source for the Assessment of Methane Hazard
Bibliografia
  • [1] Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions – The European Green Deal (COM (2019) 640 final, 11.12.2019).
  • [2] B. Blankenship, M. Aklin, J. Urpelainen, V. Nandan, Jobs for a just transition: Evidence on coal job preferences from India. Energy Policy 165, (2022). DOI : https://doi.org/10.1016/j.enpol.2022.112910.
  • [3] J. Frankowski, J. Mazurkiewicz, J. Sokołowski, Mapping the indirect employment of hard coal mining: A case study of Upper Silesia, Poland. Resources Policy 83, (2023). DOI : https://doi.org/10.1016/j.resourpol.2023.103693.
  • [4] D. Musioł, Changes into structures of ventilation nets in coal mines under restructure process. Zeszyty Naukowe Politechniki Śląskiej, Górnictwo 286, 1798 (2008).
  • [5] N . Szlązak, D. Obracaj, M. Borowski, J. Swolkień, M. Korzec, Monitoring and controlling methane hazard in excavations in hard coal mines. AG H Journal of Mining and Geoengineering 37 (2013).
  • [6] E . Krause, J. Skiba, Formation of methane hazard in longwall coal mines with increasingly higher production capacity. International Journal of Mining Science and Technology 24, 3, 403-407 (2014).DOI : https://doi.org/10.1016/j.ijmst.2014.03.020.
  • [7] P. Ostrogórski, Methane Hazard Assessment and Detection Based on a Distributed Wireless System (Ocena i detekcja zagrożenia metanowego w oparciu o rozproszony system bezprzewodowy). Phd Thesis, Instytut Mechaniki Górotworu Polskiej Akademii Nauk (2022).
  • [8] P. Ostrogórski, P. Skotniczny, M. Pucka, Measurements of the Methane Concentration along the longwall excavation sand longwall. Arch. Min. Sci. 67, 1, 195-204 (2022). DOI : https://doi.org/10.24425/ams.2022.140861.
  • [9] P. Ostrogórski, P. Skotniczny, Methane Emission Measurements Along Underground Galleries of Coal Mine. Arch.Min. Sci. 69, 1, 107-114 (2024). DOI : https://doi.org/10.24425/ams.2024.149830.
  • [10] W. Dziurzyński, at al., Content-related preparation and execution of an research experiment in the exploitation longwall of high natural and technological hazard level aimed to acquire data for the verification of the mathematical model of methane concentration distribution while mining with combined cutter loader. Stage 1. Elaboration of assumption data and guidelines for the research experiment in the 841a longwall area, 405/1 seam, in Bielszowice mine – in Polish]. Report of IMG PAN , Kraków – April 2009.
  • [11] B. Blecharz, W. Dziurzyński, A. Krach, T. Pałka, Simulation of the flow of air and methane mixture in the longwall area, taking into account the coal mining and haulage process. (Symulacja przepływu mieszaniny powietrza i metanu w rejonie ściany, z uwzględnieniem procesu urabiania i odstawy węgla). Mechanizacja i Automatyzacja Górnictwa, 3-4, (2003).
  • [12] W. Dziurzyński, A. Krach, T. Pałka, S. Wasilewski, Validation of the Vent Met ventilation computer simulation program for the longwall area, taking into account time-varying methane sources related to the cyclical operation of the shearer. (Walidacja komputerowego programu symulacji wentylacji VentMet dla rejonu ściany, z uwzględnieniem zmiennych w czasie źródeł metanu, związanych z cykliczna pracą kombajnu). Prace Instytutu Mechaniki Górotworu PAN 9, 1-2, (2007).
  • [13] W. Dziurzyński, A. Krach, T. Pałka, S. Wasilewski, Validation of the VentZroby program using the results of thein situ experiment and applying new input data preparation algorithms. (Walidacja programu VentZroby z wykorzystaniem wyników eksperymentu „in situ” i z zastosowaniem nowych algorytmów przygotowania danych wejściowych). Prace Instytutu Mechaniki Górotworu PAN 10, 1-4, (2008).
  • [14] W. Dziurzyński, A. Krach, T. Pałka, Shearer control algorithm and identification of control parameters. Arch. Min.Sci. 63, 3, 537-552 (2018). DOI : https://doi.org/10.24425/123673.
  • [15] S . Wasilewski, Modern systems of gas hazard monitoring in Polish hard coal mines. Arch. Min. Sci. 53, 4, 511-524(2008).
  • [16] W. Dziurzyński, A. Krach, T. Pałka, S. Wasilewski, Digital Simulation of the Gas-dynamic Phenomena Caused by Bounce Experiment and Validation. Arch. Min. Sci. 55, 3, 403-424 (2010).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-317c48da-b35f-4f50-a321-a43027667b05
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.