인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In this paper, we selected eight sensors(CO, CO₂, O₂, smoke, temperature, humidity, vibration, infrared, etc.) suitable for underground utility tunnel in korea based on the shape of the building, the arrangement of facilities, the condition of the enclosure, and the materials of power lines and facilities. We designed a multi-sensor module with a SIP (System In Package) structure to integrate and embed the eight selected sensors, a signal processing algorithm that considers the response time characteristics between multiple sensors, and a third-order Butter-worth low-pass filter to remove noise errors in the DC component of the output signal. In addition, we designed the enclosure structure by conducting flow simulation (Solidwork simulation program), manufactured a prototype, and applied leveling technology to improve the accuracy of the multi-sensor based on the data measured in the test bed. As a result, it was confirmed that it was possible to detect whether a fire occurred within 30 seconds in the event of a fire, except for the CO₂ sensor, and the fire detection reliability showed a high performance of about 95% or more. After installing 55 complex environmental sensors integrated with lighting fixtures in the Ochang Underground Utility Tunnel(about 750m underground common area distance), we evaluated the sensing data transmission characteristics and the accuracy of the sensing data delivered to the SPU and DCU and the sensor values displayed in the related systems to prove its excellence.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092302503