인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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 study, to verify the electromagnetic safety and power saving effect of indoor smart LED luminaire in apartment building where residents actually live, the living lab concept was used to measure and evaluate the electromagnetic wave, electric power and the actual condition of use by questionnaire. Smart LED luminaire consists of a microwave sensor module and a 0-10 step dimming module. First, the power density of the electromagnetic wave was measured by connecting the Horn antenna and the frequency analyzer. As a result, the maximum intensity was 3.23E-6 [W/㎡] at the lower part of the sensor. It was confirmed that the measurement result is safer than the human body maximum strength. Next, each 100 households equipped with smart LED luminaire and general LED luminaire were selected and the monthly average power per household was measured for four months. As a result, 209.6kWh and 204.6kWh were confirmed, respectively. In addition, the standby power of the household equipped with smart LEDs and general LEDs was measured and it was 8kWh and 6kWh respectively.
As a result of a survey, to find the cause of more power consumption in smart LEDs, we found that only 38.7% of respondents use dimming function. Therefore, in order to improve usage of smart LED luminaire, it is essential to promote its convenience and make familiar User interface so even the elders can easily use.
As a result of a survey, to find the cause of more power consumption in smart LEDs, we found that only 38.7% of respondents use dimming function. Therefore, in order to improve usage of smart LED luminaire, it is essential to promote its convenience and make familiar User interface so even the elders can easily use.
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-ECN-0101-2019-565-000301109