首页|基于遥感的奶牛养殖场甲烷检测系统研发

基于遥感的奶牛养殖场甲烷检测系统研发

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[目的]为了解决奶牛养殖场甲烷检测过程中,定点式气体传感器检测点位有限、检测不全面等问题,本研究运用无人机遥感技术开发了一套甲烷遥感检测系统,旨在实现对奶牛养殖场甲烷分布快速、大范围的检测.[方法]首先,基于光谱吸收原理设计了甲烷遥感检测传感器,并通过试验验证了其检测精度.然后,在河南省洛阳市孟津县生生牧场进行了实地测试,绘制出了奶牛养殖场内的甲烷浓度分布图.并对奶牛活动区域的甲烷浓度值与该区域内奶牛数量之间的相关性进行了分析.[结果]根据试验结果分析,所设计的甲烷遥感检测模块的平均单位误差小于 2.05 mg/m3.某区域的甲烷质量浓度值与该区域内活动的奶牛数量之间存在显著的正相关性,两者的皮尔逊相关系数为 0.934.[结论]所设计的甲烷遥感检测系统在实际应用中具有较高的准确性,可以满足奶牛养殖场对甲烷分布的检测需求.
Development of methane detection system for dairy farms based on remote sensing
[Objective]To address the limitations of fixed-point gas sensors in methane detection at dairy farms,such as limited detection points and incomplete detection,this study developed a methane remote sensing detection system using unmanned aerial vehicle(UAV)sensing technology.The aim was to achieve rapid and extensive detection of methane distribution in dairy farms.[Method]Initially,a methane remote sensing detection sensor was designed based on the principle of spectral absorption,and its detection accuracy was verified through experiments.Subsequently,field tests were conducted at the Shengsheng Dairy Farm in Mengjin County,Luoyang City,Henan Province,to create a methane concentration distribution map within the dairy farm.The relationship between methane concentration levels in active areas of cows and the number of cows present in the area was also examined.[Result]Analysis of the experimental results showed that the average unit error of the designed methane remote sensing detection module was less than 3.27 mg/m3.A significant positive correlation was found between the methane concentration in a certain area and the number of cows active in that area,with a Pearson correlation coefficient of 0.934.[Conclusion]The designed methane remote sensing detection system exhibits high accuracy in practical applications,and is capable of meeting the demand for detection of methane distribution in dairy farms.

Methane detectionUAV remote sensingDairy farmMethane emissionGas sensor

李弘振、赵凯旋、赫永康

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河南科技大学农业装备工程学院,河南洛阳 471000

甲烷检测 无人机遥感 奶牛养殖场 甲烷排放 气体传感器

国家重点研发计划河南省国际科技合作项目河南省高校科技创新人才项目

2023YFD200070223210252100624HASTIT052

2024

华南农业大学学报
华南农业大学

华南农业大学学报

CSTPCD北大核心
影响因子:0.837
ISSN:1001-411X
年,卷(期):2024.45(5)
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