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An evaluation of the effectiveness of anomalous systems in gas subsidiaries (a case study of the Alborz Gas Company)

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An anomaly is an unsafe condition or action that has the potential to cause an accident. These conditions, or unsafe practices in gas companies, play a very important role in the occurrence of gas leaks and fires. Any unsafe acts can lead to unpleasant incidents for citizens, their homes, and property. This study aims to increase the effectiveness of anomalous systems in the gas subsidiaries of Alborz province. To conduct this study, the Tripod Beta technique was used to draw a diagram of the analysis of gas accidents in homes in the Alborz province, and the hierarchical analysis method was used to assess the risk of injuries, casualties, and unintentional house fires. In the first stage, information on gas leaks, and fires were collected by reviewing the documents related to the winter events of 2020. Then the sum of the mentioned conditions was studied as a hypothetical model. In the second step, the mentioned model was analyzed using the Tripod Beta method, and the causes of the accidents were determined by the capability of the study method. The obstacles studied were technical safety regulations, and the creation of a safe environment. The primary reason attached to the technical safety regulations was the lack of proper understanding of valve openings and closing signs. Another immediate reason for the need to create a safe environment was the lack of safety equipment. The precondition for not understanding the open and closed sign of the valve, lack of sufficient knowledge, and the precondition for not using safety equipment, buying unsafe equipment, and the hidden reason for the lack of sufficient knowledge, lack of training, and the hidden reason for buying unsafe equipment, was the poor economic situation. The results of this study indicated that fire-related conditions are of the utmost importance in assessing the risk of unintentional house fires. Failure to pay attention to safety points while using gas-related equipment, the poor condition of the building, and more male residents have the most anomalies in causing gas company accidents.
Słowa kluczowe
Rocznik
Strony
5--16
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
  • Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Department of Industrial Engineering, Science and Arts University, Yazd, Iran
  • Department of HSE Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Bibliografia
  • [1] Han Z.Y., Weng W.G.: Comparison study on qualitative and quantitative risk assessment methods for urban natural gas pipeline network. Journal of Hazardous Materials, vol. 189(1), 2011, pp. 509–518.
  • [2] Montiel H., Vilchez J.A., Amaldos J., Casal J.: Historical analysis of accidents in the transportation of natural gas. Journal of Hazardous Materials, vol. 51(1), 1996,pp. 77–92.
  • [3] Wang W., Mou D., Li F., Dong Ch., Khan F.: Dynamic failure probability analysis of urban gas pipeline network. Journal of Loss Prevention in the Process Industries, vol. 72, 2021,art. no. 104552.
  • [4] Jean d’Amour N., ChangK.-Ch., LiP.-Q., ZhouY.-W., Wang H.-Ch., Lin Y.-Ch, Chu. K.-Ch., Hsu T.-L.: Study of Region Convolutional Neural Network Deep Learning for Fire Accident Detection. Cham: Springer International Publishing, 2021.
  • [5] Bird S., Tapp A.: Fear and fire: Ethical social marketing strategies for home fire safety for older people. University of the West of England: Bristol, UK, 2011.
  • [6] Fagan S., Greene M., Knight S., Royds T.: An Evidence-Based Approach to Home Fire Safety. Worcester Polytechnic Institute, 2014.
  • [7] Parker E.M., Gielen A.C., McDonald E.M., Shields W.C., Trump A.R., Koon K.M., Jones V.: Fire and scald burn risks in urban communities: who is at risk and what do they believe about home safety? Health Education Research, vol. 28(4), 2013, pp. 599–611.
  • [8] Ducic S., Ghezzo H.R.: Epidemiology of accidental home fires in Montreal†. Accident Analysis & Prevention, vol. 12(1), 1980, pp. 67–73.
  • [9] Zhang G., Zhou X., Zhu G., Yan S.: A new accident analysis and investigation model for the complex building fire using numerical reconstruction. Case Studies in Thermal Engineering, vol. 14, 2019, art. no.100426.
  • [10] Wang, X.R., Lizier J.T., Obst O., Prokopenko M., Wang P.: Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008.
  • [11] Akouemo H.N., Povinelli R.J.: Probabilistic anomaly detection in natural gas time series data. International Journal of Forecasting, vol. 32(3), 2016, pp. 948–956.
  • [12] Bai M., Bai M., Liu J., Chai J., Zhao X., Yu D.: Anomaly detection of gas turbines based on normal pattern extraction. Applied Thermal Engineering, vol. 166, 2020, pp. 114664.
  • [13] Baldacci L., Golfarelli M., Lombardi D., Sami F.: Natural gas consumption forecasting for anomaly detection. Expert Systems with Applications, vol. 62, 2016, pp. 190–201.
  • [14] Turner S.L., Johnson R.D., Weightman A.L., Rodgers S.E., Arthur G., Bailey R., Lyons R.: Risk factors associated with unintentional house fire incidents, injuries and deaths in high-income countries: a systematic review. Injury Prevention, vol. 23(2), 2017, pp. 131–137.
  • [15] Reason J., Human error: models and management. Cambridge University Press, 1990.
  • [16] Ahmadi O., Mortazavi S.B., Mahabadi H.A.: Application and modification of the Tripod Beta method for analyzing the causes of oil and gas industry accidents. International Journal of Occupational Safety and Ergonomics, vol. 27(3), 2021, pp. 928–937.
  • [17] Ballard J.E., Koepsell T.D., Rivara F.: Association of Smoking and Alcohol Drinking with Residential Fire Injuries. American Journal of Epidemiology, 135(1), 1992, pp. 26–34.
  • [18] Marshall S.W., Runyan C.W., Bangdiwala S.I., Linzer M.A., Sacks J.J., Butts J.D.: Fatal Residential Fires Who Dies and Who Survives?. JAMA, vol. 279(20), 1998, pp. 1633–1637.
  • [19] Karter M.J., T.L. Kissinger, A.L. Miller, Harwood B., Fahy R.F., Hall J.R.: Cigarette characteristics, smoker characteristics, and the relationship to cigarette fires. Fire Technology, vol. 30(4), 1994, pp. 400–431.
  • [20] Barnett M.L.: Risk Factors and Incidence of Residential Fire Experiences Reported Retrospectively. School of Psychology, Victoria University 2008.
  • [21] Xiong L., Bruck D., Ball M.: Comparative investigation of ‘survival’ and fatality factors in accidental residential fires. Fire Safety Journal, vol. 73, 2015, pp. 37–47.
  • [22] Greene M.A.: Comparison of the characteristics of fire and non-fire households in the 2004–2005 survey of fire department-attended and unattended fires. Injury Prevention, vol. 18(3), 2012, pp. 170–175.
  • [23] Runyan, C.W., Bangdiwala S.I., Linzer M.A., Sacks J.J., Butts J.: Risk Factors for Fatal Residential Fires. New England Journal of Medicine, vol. 327(12), 1992, pp. 859–863.
  • [24] Goodsman R.W., Mason F., Blythe A., Housing factors and fires in two metropolitan boroughs. Fire Safety Journal, vol. 12(1), 1987, pp. 37–50.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03fa21df-de49-4220-b256-0872866893be
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