Fire event is the one of most severe event on the bridge. Fire event on the bridge has been reported annual average 8 cases in South Korea. Especially Bucheon viaduct fire cause catastrophic damage on the traffic system. This study developed and conducted fire risk assessment for existing bridge on the highway. Entire risk assessment procedure divided into 3 sections, PRA, SRA and DRA. PRA check fire scenario possibility. SRA check key parameter of fire risk by checklist. DRA is a precision risk assessment and find what part makes bridge high risk.

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<p> This paper is proposed a computer vision technique for measuring the static displacement of bridges with changes in temperature using a general photograph, which is stored in the database of the bridge management system (BMS) for visual inspection. Also, the proposed methodology is developed using open source computer vision (OpenCV) language program and validated both in the laboratory using a bearing model and on an actual bridge. The proposed numerical procedure shows that the nontarget imagebased technique using Gaussian highpass filters in the frequency domain, projective linear transformation (PIT) and digital image correlation (DIC) algorithm can extract the displacement of a bearing. It is concluded that this technique is able to obtain the bridge bearing condition assessment.</p>