无人机喷雾质量检测系统设计与试验
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国家重点研发计划项目(2016YFD0200700-2016YFD0200706)


Design and Experiment of UAV Spray Quality Detection System
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    摘要:

    为了检测与无人机喷雾质量相关的雾滴参数,并将其应用于各种复杂环境,设计了一种基于水性丙烯酸树脂和数字图像处理技术的无人机喷雾质量检测系统。该系统由雾滴采样模块、图像采集模块、图像处理模块、无线通信模块、图像和数据存储模块、数据显示模块组成。利用水性丙烯酸树脂在遇到水时会发生变色反应这一特性,将其制成雾滴采样模块,并对雾滴采集装置上的雾滴图像进行获取,随后利用数字图像处理技术对雾滴图像进行处理,计算得出雾滴参数。在农田环境下,通过无人机喷雾试验对系统的性能进行了评价。该系统可实时检测雾滴粒径、雾滴沉积密度、雾滴覆盖率等4种雾滴参数,从而实现对无人机喷雾质量的检测。初步试验结果表明,系统运行稳定,系统检测结果分布曲线与水敏纸法检测结果分布曲线基本一致,能够及时、准确地检测无人机喷雾质量。

    Abstract:

    In order to detect the fog droplet parameters related to the unmanned aerial vehicle (UAV) spray quality and its application in a variety of complex environments, a spray quality testing system for UAV based on waterborne acrylic resin and digital image processing technology was designed. The system consisted of droplet sampling module, image acquisition module, image processing module, wireless communication module, image and data storage module, and data display module. Among them, the water-based acrylic resin would have discoloration reaction when it met water, and it was made into a fog drop sampling module, and the fog drop image of the fog drop collection device was obtained, and then the digital image processing technology was used to process the fog drop image, and the fog drop parameters were calculated. The performance of the system was evaluated by UAV spray test in farmland environment. The system can detect two droplet sizes, droplet deposition density and droplet coverage rate in real time, so as to realize the detection of UAV spray quality. The preliminary experimental results showed that the system ran stably, and the distribution curve of detection results of the system was consistent with that of the water sensitive paper method on the whole. And it can timely and accurately detect the quality of UAV spray. The research results can provide data support for the further development of UAV automatic spray system and aviation drug application decision system.

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李民赞,李欣泽,杨 玮,郝子源.无人机喷雾质量检测系统设计与试验[J].农业机械学报,2021,52(S0):36-42. LI Minzan, LI Xinze, YANG Wei, HAO Ziyuan. Design and Experiment of UAV Spray Quality Detection System[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):36-42.

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  • 收稿日期:2021-07-02
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  • 在线发布日期: 2021-11-10
  • 出版日期: 2021-12-10