초록 ▼

○ 영상분서을 위한 이미지 프로세싱을 하여 모돈의 행동분석에 영향하는 요인들을 제거하였음
○ 수집된 영상들을 인공지능 기법을 적용하여 영상분석 알고리즘을 제작하였음
○ 행동기반 분만시기 예측과 실제 분만시기를 비교분석한 결과 상관도는 다소 낮은 것으로 나타남
○ 돈사 배출 암모니아, 황화수소 실시간 모니터링 시스템 구축
○ 환기,가온,냉,난방시스템 모듈 개발
○ 각 모듈 시스템 모델링 연계 검증
○ 통합시스템 과 모듈 연계 검증
○ 돈사 복사 에너지 교환 모델 연구
○ 돈사 내부 열환경 관

○ 영상분서을 위한 이미지 프로세싱을 하여 모돈의 행동분석에 영향하는 요인들을 제거하였음
○ 수집된 영상들을 인공지능 기법을 적용하여 영상분석 알고리즘을 제작하였음
○ 행동기반 분만시기 예측과 실제 분만시기를 비교분석한 결과 상관도는 다소 낮은 것으로 나타남
○ 돈사 배출 암모니아, 황화수소 실시간 모니터링 시스템 구축
○ 환기,가온,냉,난방시스템 모듈 개발
○ 각 모듈 시스템 모델링 연계 검증
○ 통합시스템 과 모듈 연계 검증
○ 돈사 복사 에너지 교환 모델 연구
○ 돈사 내부 열환경 관리 방안 도출
○ 돈사 열환경 정밀 제어 시스템

(출처 : 요약서 3p)

Abstract ▼

Purpose&Contents
○ Precision management for farrowing pig using image analysis
○ Developing process-based model interpolated with gaseous emissions using ancillary information from swine animal feeding operations
○ Development of pig growth and productivity prediction model based on ICT inf

Purpose&Contents
○ Precision management for farrowing pig using image analysis
○ Developing process-based model interpolated with gaseous emissions using ancillary information from swine animal feeding operations
○ Development of pig growth and productivity prediction model based on ICT information
○ Development of Integrated ICT-based livestock housing environment control system to reduce energy load and improve breeding environment
○ Development of control technology for thermal environment of piggery based on ICT fusion
○ Development of precision management and monitoring of odor produced from livestock manure recycling using ICT Results

< First project >
○ As the time of delivery approaches, delivery behavior increases dramatically from 8 hours before delivery to 1 hour before delivery
○ Image processing for image analysis eliminates factors that affect sow behavior analysis
○ The collected images were applied to artificial intelligence techniques to produce image analysis algorithms.
○ It is judged that there is a difference between the visual observation result and the behavior analysis result by the image analysis algorithm
○ As a result of comparing the behavior-based delivery timing and the actual delivery time, the correlation was somewhat low

< Second project >
○ Establishment of real-time monitoring system of ammonia emitted from swine animal feeding operations
○ Establishment of real-time monitoring system of hydrogen sulfide emitted from swine animal feeding operations

< Third project >
○ According to the correlation analysis using the results of the first year, the daily gain of 7 to 13 kg of weaning pigs was the highest at 24-26 ℃. The weight gain of piglets (13~25 kg) was the highest at 22-24 ℃, and for the growing pigs (25~50 kg) weight gain was highest at lower temperature. The weight gain of the finishing pigs (50~80 kg) was analyzed as the temperature decreased, and lowest weight gain was seen at 24-26°C in late finishing pigs (80~110 kg)
○ The relationship between the temperature inside the pig house and the daily weight gain and daily feed intake of the weaned pigs and the regression results showed that the daily gain was decreased when the temperature was lowered or increased based on the temperature of 28°C
○ The relationship between the temperature of pigs and the amount of daily gain and daily feed intake and the regression analysis showed that the daily gain was decreased when the temperature was lowered or increased based on the optimum temperature at 24 ℃
○ The relationship between the temperature of the pig house and the daily gain of body weight and daily feed intake and the regression analysis showed that the daily gain was decreased when the temperature was lowered or increased based on the temperature of 20 -22 ℃
○ The relationship between the temperature of pigs and the amount of daily gain and daily feed intake of the finishing pigs and the regression results showed that the daily gain was decreased when the temperature was lowered or increased based on the temperature of 18-20 ℃
○ The results of regression analysis showed that the daily weight gain and the daily feed intake decreased as the temperature decreased and the temperature increased, respectively

< Fourth project >
○ Development of ventilation, heating, heating and cooling system modules
○ Verification of linkage of each module system modeling
○ Verification of integration system and module linkage verification

< Fifth project >
○ Development of sensing system measuring thermal response of pig
○ Research about proxy variable of inner environment of piggery
○ Development of sensing system measuring thermal condition of piggery
○ Research about radiation exchange from piggery
○ Present management strategy for energy saving thermal control
○ Research about precision control system for thermal environment of piggery

< sixth project >
○ Identification of the current status and problems of the public resource facility
○ Estimation of odor emissions and selection of Calpuff model for the public resource facility
○ Installation of odor monitoring facility at the public resource facility
○ Collection and analysis of odor (complex odor, ammonia, hydrogen sulfide), and environmental data(temperature, humidity, wind direction, wind speed)
○ Modeling using odor diffusion model and frequency analysis of odor exposure : 1 OU influence group analysis
○ Establish a plan to improve the problems of the public resource facility

Expected Contribution
1. Technical aspects
○ Integrated control technology of smart python and bio information collection. Predicting productivity of pigs through analysis
○ Achieving advanced management of housing environment through analysis of thermal environment in housing using ICT
○ Secured technology for micro-control of Korean livestock based on sensing information
○ Maximization of Livestock Manure Recycling and Monitoring and Control Technology for Livestock Odor using ICT Technology

2. Economic and industrial aspects
○ 50% reduction in labor force and 10% productivity improvement through systematic integrated management system of pension companies
○ Establishment of ICT sector infrastructure including animal husbandry and activation of ICT convergence industry
○ Reduce energy by using ICT and improve animal welfare by 10% productivity through advanced management of housing environment
○ Production and development of high quality livestock manure product

3. Social aspects
○ Expanding the populations of ear and aged villages familiar with ICT
○ Activation of Smart Livestock can minimize production deviation of earned population and stabilize income early, which can contribute to revitalization of rural area in the mid and long term.
○ Livestock-related education revitalizes ICT technical education, consulting, etc.
○ Reducing odor complaints caused by bad odor control ensures the happiness of local residents

(출처 : Summary 7p)

목차 Contents

• 표지 ... 1
• 제출문 ... 2
• 보고서 요약서 ... 3
• 국 문 요 약 문 ... 4
• Summary ... 7
• 목차 ... 11
• 제 1 장 연구 개발 과제의 개요 ... 12
• 제 2 장 연구 수행 내용 및 결과 ... 21
• 1협동과제 : 영상정보를 활용한 분만돈 정밀관리 기술 개발 ... 21
• 2협동과제 : 환경조건과 연동된 돈사 가스배출 데이터베이스 구축 및 관련 예측 모델 개발 ... 41
• 3세부과제 : ICT 정보기반 돼지 성장 및 생산성 예측 모델 개발 ... 58
• 4협동과제 : 에너지부하 절감 및 사육환경개선을 위한 ICT 기반 축사환경조절 통합시스템 개발 ... 91
• 5협동과제 : ICT 융합 돈사시설 열환경 관리 기술 개발 ... 120
• 6협동과제 : ICT 이용 가축분뇨 공동자원화 악취발생 모니터링 및 정밀 관리 기술 개발 ... 145
• 제 3 장 목표달성도 및 관련분야 기여도 ... 176
• 제 4 장 연구 결과의 활용 계획 ... 180
• 제 5 장 연구 개발 결과의 보안 등급 ... 182
• 제 6 장 국가과학기술지식정보서비스에 등록한 연구시설·장비 현황 ... 183
• 제 7 장 연구개발과제의 대표적 연구실적 ... 184
• 제 8 장 기타사항 ... 186
• 제 9 장 참고문헌 ... 187
• 끝페이지 ... 190