A Study on the Dynamic Situation Response Scenario for Constructing ICT Convergence Disaster Response System

  • Authors

    • Chul-Gyoo Lee
    • Sang-Ho Moon
    • Young-Jung Yu
    https://doi.org/10.14419/ijet.v8i1.4.25453
  • Dynamic Disaster Response based Real-time Information, Disaster Response System, Dynamic Situation Response Scenario, ICT Convergence Disaster Response, Super High-rise Building

  • Recently, natural disasters due to changes in the natural environment such as climate change have appeared in various forms. In addition, due to the development of architectural technology, the construction of super high-rise buildings as well as the enlargement and complexation of buildings are rapidly taking place. Also, with the rapid increase in the population of the city due to industrialization, buildings are becoming larger and more complex. These natural and technological changes increase the possibility of a complex type of disaster—either natural or social type of disaster, or a combination of both These changes strongly require the paradigm shift of response systems, including the prediction, preparation, response, and recovery phases of disasters. If social disasters such as fires occur in high-rise or large-scale buildings, not only large-scale casualties but also social losses could be expected to occur. Therefore, in the event of a major disaster such as earthquake, typhoon or tsunami, it is necessary to utilize response scenarios that can cope with various changes appropriately in disaster situations. In order to change the paradigm of the disaster response system, the proponents of this study identified the necessary functions and requirements for the transition to a dynamic situation response system. To do this, a case study was conducted on the disaster response system of super high-rise buildings and accident cases. These functions and requirements were aimed to be implemented in disaster response systems based on dynamic situation response scenarios. The system also included real-time information gathering, analysis, decision and action planning through the use of ICT technology. The scenarios were analyzed by task according to the specific situation corresponding to time, and then a strategy was designed to be applied to computerization, automation and intelligence. To verify dynamic situational response scenarios, the proponents confirmed the feasibility of the study by designing a database of the disaster response system which implements the scenario.

     

  • References

    1. [1] J. Lee and G. Lee (2009), Research of the Fire to Minimization Damage Plan on High-rise Buildings. Journal of Korean Institute of Fire Science, vol. 23, no. 4, 91–97.

      [2] B. Kim, C. Yim, and Y. Park (2016), The Influence of Wind Conditions on the Performance of Smoke Ventilation in High-rise Building Fires. Journal of Korean Institute of Fire Science, vol. 30, no. 1, 63–73.

      [3] D. Kim and S. Park (2011), A Basic Study on Required Performance and Development Direction of Fire Resistance Wall on High-rise Building. Journal of Korean Institute of Fire Science, vol. 25, no. 4, 1–7.

      [4] J. Hwang and Y. Choi (2016), Route Exploration Algorithm for Emergency Rescue Support on Urgent Disaster. Journal of the Korea Contents Association, vol. 16, no. 9, 12–20.

      [5] Y. Choi and I. Joe (2008), Design of Fire Evacuation Guidance System using USN Mesh Routing in High-Rise Buildings. Journal of Korean Institute of Fire Science & Engineering, vol. 22, no. 3, 278–286.

      [6] M. Yoon, C. Song, T. Kim, Y. Choi, and Y. Choi (2007), Real-time Fire Evacuation Guidance System Employing Ubiquitous Techniques: Efficient Exiting System Using RFID. Journal of Korean Institute of Fire Science & Engineering, vol. 21, no. 4, 115–122.

      [7] H. Nam, S. Kwak, and C. Jun (2012), A Prototype for Real-time Indoor Evacuation Simulation System using Indoor IR Sensor Information. Journal of Korea Spatial Information Society, vol. 20, no. 2, 155–164.

      [8] National Institute of Standards and Technology (2005), Final Report on the Collapse of the World Trade Center Towers.

      [9] S. Moon, Y. Yu, and C. Lee (2017), A Study on Evacuation Guidance using Location Identification Technology for Disaster. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 12, 937–946.

      [10] Y. Yu, S. Moon, S. Park, and C. Lee (2017), A Study on the Visibility Measurement of CCTV Video for Fire Evacuation Guidance. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 12, 947–954.

      [11] Electronics and Telecommunications Research Institute (2015), A Study on the Trend of LBS Technology and Market.

      [12] C. Lee, S. Moon, and Y. Yu (2017), Simulation for Derivation of Evacuation Type. International Journal of Urban Design for Ubiquitous Computing, vol. 5, no. 2, 1–6.

      [13] C. Lee, S. Moon, and Y. Yu (2018), Evacuation Simulation based on Emergency Stair. International Journal of ICT-aided Architecture and Civil Engineering, vol. 5, no. 1, 25–30.

      [14] Public Risk Management Center, Annual Report on Development of Intelligent Fire Protection System for Super High-rise Buildings, Busan University of Foreign Studies, (2016), p. 570.

      [15] N. Fujiwara and K. Terada (2004), Extraction of a Smoke Region using Fractal Coding. IEEE International Symposium on Communication and Information, vol. 2. 659–662.

      [16] I. Kopilovic, B. Vagvolgyi and T. Sziranyi (2000), Application of Panoramic Annular Lens for Motion Analysis Tasks: Surveillance and Smoke Detection. Proceedings of 15th International Conference on Pattern Recognition, vol. 4, 714–717.

      [17] C. Yu, J. Fang and Y. Zhang (2010), Video Fire Smoke Detection using Motion and Color Feature. Fire Technology, vol. 46, no.3, 651–663.

      [18] C. Yu, Z. Mei and X. Zhang (2013), A Real-time Video Fire Flame and Smoke Detection Algorithm. Procedia Engineering, vol. 62, 891–898.

      [19] B. D. Lucas and T. Kanade (1981), An Iterative Image Registration Technique with an Application to Stereo Vision. Proceedings of the 7th International Joint Conference on Artificial Intelligence, vol. 2, 674–679.

      [20] B. U. Toreyin, Y. Dedeoglu and A. E. Cetin (2005), Wavelet Based Real-time Smoke Detection in Video. 13th European Signal Processing Conference EUSIPCO.

      [21] A. Rafiee and R. Tavakoli (2011), Fire and Smoke Detection using Wavelet Analysis and Disorder Characteristics. ICCRD, 262–265.

      [22] J. S. Perez, E. Meinhardt-Llopis and G. Facciolo (2013), Tv-l1 Optical Flow Estimation. Image Processing On Line, 137–150.

      [23] A. Stadler and T. Ike (2016), Real Time Video Based Smoke Detection using Double Optical Flow Estimation. International Journal of Computer, Electrical, Automation, Control and Information Engineering, vol. 10, no. 9, 1632–1637.

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    Lee, C.-G., Moon, S.-H., & Yu, Y.-J. (2019). A Study on the Dynamic Situation Response Scenario for Constructing ICT Convergence Disaster Response System. International Journal of Engineering & Technology, 8(1.4), 424-436. https://doi.org/10.14419/ijet.v8i1.4.25453