| 航空施药雾滴沉积特性光谱分析检测系统研发与应用 |
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| 引用本文： | 张瑞瑞,文瑶,伊铜川,陈立平,徐刚.航空施药雾滴沉积特性光谱分析检测系统研发与应用[J].农业工程学报,2017,33(24):80-87. |
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| 作者姓名： | 张瑞瑞 文瑶 伊铜川 陈立平 徐刚 |
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| 作者单位： | 1. 北京农业智能装备技术研究中心，北京 100097； 2. 国家农业智能装备工程技术研究中心，北京 100097； 3. 国家农业航空应用技术国际联合研究中心，北京 100097； 4. 农业智能装备技术北京市重点实验室，北京 100097,1. 北京农业智能装备技术研究中心，北京 100097； 2. 国家农业智能装备工程技术研究中心，北京 100097； 3. 国家农业航空应用技术国际联合研究中心，北京 100097； 4. 农业智能装备技术北京市重点实验室，北京 100097,1. 北京农业智能装备技术研究中心，北京 100097； 2. 国家农业智能装备工程技术研究中心，北京 100097； 3. 国家农业航空应用技术国际联合研究中心，北京 100097； 4. 农业智能装备技术北京市重点实验室，北京 100097,1. 北京农业智能装备技术研究中心，北京 100097； 2. 国家农业智能装备工程技术研究中心，北京 100097； 3. 国家农业航空应用技术国际联合研究中心，北京 100097； 4. 农业智能装备技术北京市重点实验室，北京 100097,1. 北京农业智能装备技术研究中心，北京 100097； 2. 国家农业智能装备工程技术研究中心，北京 100097； 3. 国家农业航空应用技术国际联合研究中心，北京 100097； 4. 农业智能装备技术北京市重点实验室，北京 100097 |
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| 基金项目： | 国家自然科学基金项目（31601228）；国家重点研发计划-地面与航空高工效施药技术及智能化装备（2016YFD0200700）；北京市自然科学基金项目（6164032） |
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| 摘 要： | 为快速获取航空施药雾滴沉积的连续分布特性,弥补传统离散样点取样方式检测不足,提升航空施药雾滴沉积特性检测准确性,该文结合光谱分析和荧光激发技术设计研发了基于光谱分析的航空施药沉积特性检测系统。系统包括信息采集模块、采集装置模块和数据处理模块3部分。配置质量分数1.0%的荧光示踪剂溶液,采用农用植保无人机现场喷洒作业,同步放置雾滴获取介质和水敏试纸样本采集雾滴分布,系统采集雾滴获取介质的光谱特征曲线。与水敏试纸图像分析获取的雾滴沉积特性参数结果对比分析,结果表明:雾滴获取介质上的荧光示踪剂在450~460 nm和500~520 nm波段范围内产生显著荧光效应,其光谱平均值与雾滴沉积特性参数呈显著正相关。计算出450~460 nm和500~520 nm波段范围光谱平均值,建立雾滴沉积特性参数的检测多元线性回归模型,建模决定系数达0.80以上,验证决定系数达0.83以上,达到了较为理想的拟合结果。
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| 关 键 词： | 航空 喷雾 农药 喷雾模型 光谱分析 荧光激发 雾滴沉积 |
| 收稿时间： | 2017/6/28 0:00:00 |
| 修稿时间： | 2017/11/1 0:00:00 |
Development and application of aerial spray droplets deposition performance measurement system based on spectral analysis technology |
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| Zhang Ruirui,Wen Yao,Yi Tongchuan,Chen Liping and Xu Gang.Development and application of aerial spray droplets deposition performance measurement system based on spectral analysis technology[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(24):80-87. |
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| Authors: | Zhang Ruirui Wen Yao Yi Tongchuan Chen Liping and Xu Gang |
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| Institution: | 1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China; 4. Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing 100097, China,1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China; 4. Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing 100097, China,1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China; 4. Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing 100097, China,1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China; 4. Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing 100097, China and 1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 2. National Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China; 3. National Center for International Research on Agricultural Aerial Application Technology, Beijing 100097, China; 4. Beijing Key Laboratory of Agricultural Intelligent Equipment Technology, Beijing 100097, China |
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| Abstract: | Abstract: To evaluate the droplet deposition in aerial spraying real-timely and accurately, aerial spray pattern measurement system was designed combining with spectral analysis and fluorescence excitation technology. The hardware of the system consisted of modules of information acquisition module, data acquisition module, and data processing module. FLAME-S-VIS-NIR micro spectrometer was selected as information acquisition module which is produced by Ocean Optics. Micro spectrometer was the core component of the aerial spray pattern measurement system. The acquisition module included microcontroller unit, droplet collection medium, Ultraviolet excitation light, stepper motors, and photoelectric limiter and so on. The software of the system includes the function of spectrometer connection, parameter setting, spectral data collection, display and storage. At first, the solution of fluorescent tracer with mass fraction of 0.5%, 1.0% and 1.3% was sprayed individually by the sprayer installed on the agricultural plant protection unmanned aerial vehicle. Droplet deposition was collected by droplet collection medium and water sensitive paper synchronously. The spectral characteristic curve of droplet collection medium was scanned and saved by the software of aerial spray pattern measurement system. The spectral characteristic curve of sample point was processed by savitzky-golay smoothing and standard normalized variate, the trend of spectral curve was analyzed. Without the effect of ultraviolet light on the band removal of 340-400 nm, the result which was observed and analyzed from the band range of 440-1 014 nm showed that the spectral band range of 450-460 nm presented a trough shape, and the spectral band range of 500-520 nm showed peak shape. Droplet deposition characteristic parameter which was obtained from the image analysis of water sensitive paper included impregnation area, area coverage and deposition. Compared with the result obtained by water sensitive paper, the analysis result indicated that the solution of fluorescent tracer on the droplet capture medium had produced significant fluorescence effect in the wavelength range of 450-460 nm and 500-520 nm. The spectral average value of the wavelength range of 450-460 nm and 500-520 nm was calculated. And the correlation coefficient of spectral average value and droplet deposition was up to 0.80. The results showed that it was feasible for the detection of droplet deposition characteristics based on spectral analysis and fluorescence excitation technique. The detection effect of droplet deposition with the different mass fraction of fluorescent tracer solution was analyzed. Compared with the mass fraction 0.5% and 1.3% of fluorescent tracer solution, the correlation coefficient between spectral average value and droplet deposition was more than 0.92 when the mass fraction of fluorescent tracer solution was 1.0%. Therefore, a fluorescent tracer solution with mass fraction 1.0% was adopted for the detection of performance test of the system. The performance test of the system was carried out in the field. Fifty nine sample points were collected effectively, and the multivariate linear regression model of the droplet deposition was built based on the spectral average value which was calculated by randomly selection of 40 sample points. The rest of 19 sample points was used to validate the multivariate linear regression model. The model decision coefficient was about 0.80, and the verification coefficient was about 0.83. The modeling accuracy can satisfy the requirements of droplet deposition characteristic parameter detection. This method could provide support for the detection of droplet deposition characteristics rapidly and continuously in aerial spraying. |
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| Keywords: | aviation spraying pesticides spray pattern spectrum analysis fluorescence excitation droplet deposition |
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