High Reliability Fire Detection Systems Using Smoke Detection and Image Processing in Rack Type Warehouse (Rack형 창고에서의 연기감지기와 영상처리를 이용한 고 신뢰성 화재 감지 시스템 개발)

Hyoung-Dae Lee (이형대); Kim Jae Woong (김재웅)

doi:10.34163/jkits.2020.15.1.001

High Reliability Fire Detection Systems Using Smoke Detection and Image Processing in Rack Type Warehouse

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2020, 15(1), pp.1-10
DOI : 10.34163/jkits.2020.15.1.001
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : December 20, 2019
Accepted : February 7, 2020
Published : February 29, 2020

Hyoung-Dae Lee ¹, Kim Jae Woong ¹

¹공주대학교

Accredited

ABSTRACT

The fire management in rack type warehouses is a very important and essential element. Usually, a fire is first produced smoke, then a flame is produced, leading to a fire. Generally, smoke detection systems have smoke detectors installed in all of the rack spaces and detect smoke early on and deliver the correct location. However, if there is not enough space in the rack to install smoke detectors, or if all racks do not have smoke detectors installed, one smoke detector is installed at the top of the rack to manage the surrounding racks. If the smoke detector detects smoke in this configuration, it is not possible to determine which of the grouped racks is generating smoke. Therefore, this study proposes a system to efficiently locate the position of the smoke-producing racks. For this purpose, the camera is installed on a stacker crane that loads and leaves products in a rack warehouse. Image frames are transmitted in real time from fixed cameras so that the difference images are calculated reliably. The images obtained detect the direction of smoke using a technique called dense optical flow, an algorithm that detects the movement of an object. The purpose of this paper is to develop a highly reliable fire detection system that detects the location of the racks in which smoke occurs by moving the stacker cranes in the detected direction and repeatedly.

KEYWORDS

Rack type warehouse, Smoke detector, Stacker crane, Image processing, Optical flow, Smoke direction

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* References for papers published after 2023 are currently being built.

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

High Reliability Fire Detection Systems Using Smoke Detection and Image Processing in Rack Type Warehouse

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

High Reliability Fire Detection Systems Using Smoke Detection and Image Processing in Rack Type Warehouse

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.