Earticle

초록

영어

Rapid urbanization and industrialization have increased the complexity of fire scenes, revealing the limitations of traditional investigation methods. Conventional approaches often expose personnel to life-threatening hazards, such as toxic gases and structural collapses, while relying on subjective 2D photography and manual measurements. To address these challenges, this study develops a methodology utilizing drone-based 3D mapping and AI analysis to enhance the speed, accuracy, and safety of fire investigations. By integrating high-resolution thermal imaging and 3D spatial data, the proposed system allows for the digital reconstruction of complex scenes without requiring immediate human entry into dangerous areas. Comparative experiments using the DJI Matrice 30 demonstrated that drone technology significantly outperforms manual methods. The drone-based system achieved over 90% accuracy in tracking ignition points—a 40% improvement over traditional techniques—and reduced investigation time from 90 minutes to just 10 minutes for a 300 $m^2$ site. Furthermore, the 3D mapping analysis yielded a remarkably low error rate of 0.81% in combustible material calculations, compared to 19.35% in manual inspections. These findings suggest that 3D spatial integration and automated data processing drastically improve the scientific reliability and legal utility of fire investigation results.

목차

Abstract
1. 서론
1.1 연구 배경과 목적
1.2 연구의 필요성
2. 이론적 고찰
2.1 기존 소방관련 드론 연구 동향
2.2 드론 활용 소방사례
3. 이론적 배경 및 연구의 방법
3.1 화재조사의 개념과 문제점
3.2 소방드론 및 3D맵핑시스템 개요
4. 재현실험
4.1 실험개요
4.2 재현실험 준비
4.3 실험 방법
4.4 실험 절차 및 진행순서
5. 연구결과 및 검토
5.1 드론을 통한 발화지점 추적
5.2 3D 매핑 시스템을 활용한 피해면적 산정
5.3 피해 구조물의 공간정보
5.4 요구조자 및 현장활동대원 파악을 통한 인명피해조사
5.5 드론 QR코드 위치 공유 시스템을 활용한 화재조사 효율성 강화
6. 결론
참고문헌

키워드

저자

• 황인하 [ Hwang Inha | 경북소방본부 고령소방서 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국화재감식학회 학회지 [Magazine of Fire Investigation Socity of Korea]

• 간기

  계간

• pISSN

  2092-531X

• 수록기간

  2009~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 539 DDC 628