画像処理を用いたトンネル内の火災検出 Fire Detection in Tunnels by means of Image Processing

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The fire detection is very important to prevent a secondary disaster and to save the assistance for safe driving in the master plan of ITS. At present, the fire detectors, which have a high sensitivity, are used in order to detect the fire in tunnels. It has problems such that the detection area is very narrow and sensor head is fouled by exhaust fumes. Compared with the fire detectors, image sensor is suitable to detect the fire, because it can cover two-dimensional wide space. We had attempted elsewhere the fire detection, which compares two histograms with various shades of gray level, by means of image processing. However, there remained problems about the influence of passing vehicle in the actual outdoors environment. The flame has characteristic such that its state is unstable and repeats growth and decay. A new approach toward the fire detection based on fluctuation of the flame has been described in this paper. Conventional fire detectors could detect only a phenomenon of the fire. However, proposal method could detect not only the flame but also its position. We conducted simulation and field tests to verify the accuracy of this method, and confirmed the effectiveness.

収録刊行物

  • 電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society

    電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society 120(11), 1313-1320, 2000-11-01

    一般社団法人 電気学会

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各種コード

  • NII論文ID(NAID)
    10005319052
  • NII書誌ID(NCID)
    AN10012320
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    09136339
  • NDL 記事登録ID
    5537557
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-1608
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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