전기식 센서를 이용한 기계식 퇴비화 시설 퇴비단 온도 모니터링, 부숙도 측정 및 모델링

서지정보

· 발행기관 : 강원대학교 동물자원공동연구소
· 수록지 정보 : 동물자원연구 / 34권 / 1호
· 저자명 : 최용준, 박소연, 이상락, 나영준

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 재료 및 방법
1. 실험장소 및 퇴비화시설
2. 전자식 센서, 모니터링 항목 및 데이터베이스 구축
3. 퇴비 샘플링 및 부숙도 측정
4. 통계분석 및 모델링
Ⅲ. 결과 및 고찰
1. 기계식 퇴비화 시설에서 퇴비화 기간에 따른 돈분 퇴비의 온도 변화
2. 기계식 퇴비화 시설에서 퇴비화 기간에 따른 돈분 퇴비의 부숙도 변화
3. 기계식 퇴비화 시설에서 퇴비화 기간 및 온도에 따른돈분 퇴비 부숙도 모델링
사사
Ⅳ. 요약
Ⅴ. 참고문헌

영어초록

This study monitored temperature using electronic sensors and developed a prediction model for compost maturity. The experiment used swine manure in a mechanical composting facility equipped with a screw-type agitator, and the composting process was conducted for 60 d during the summer season in South Korea. Four electronic temperature sensors were installed on the inner wall between the compost piles on Days 7, 14, 21, and 28 for daily temperature monitoring. Compost samples were collected daily for 60 d, and compost maturity was analyzed using the Solvita method. Multiple comparisons, correlations, and modeling were performed using the stat package in R software. The average compost pile temperatures was 39.1±3.9, 36.4±4.3, 31.3±4.5, and 35.4±8.1 on days 7, 14, 21, and 28, respectively, after composting. The average compost maturity according to the composting date was 3.61±0.60, 4.13±0.59, 4.26±0.47, and 4.32 ±0.56 on days 7, 14, 21, and 28, respectively. A significant negative correlation was observed between the compost composting periods (seven, 14, 21, and 28 d) and the temperature of all compost piles (p<0.05), where the correlation coefficients were -0.329, -0.382, -0.507, and -0.634, respectively. A significant positive correlation was observed between the compost composting periods (seven, 14, 21, and 28 d) and the maturity of the compost (p<0.05), where the correlation coefficients were 0.410, 0.550, 0.727, and 0.840, respectively. The model for predicting the maturation of the 14 d average compost pile according to the compost composting period and the average temperature for 14 d was y=0.026 x d – 0.021 x mt.x_14 d (mean temperature for 14 d) + 4.336 (R2=0.7612, p<0.001). This study can be considered a basic reference for predicting compost maturity by the proposed model using electronic temperature sensors.

참고자료

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