Jiang Ping, Xiang Siliang, Hu Wenwu, Luo Yahui, Li Wen, Dong Xiang, Shi Yixin
College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha, China.
School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
PLoS One. 2025 Jun 23;20(6):e0326560. doi: 10.1371/journal.pone.0326560. eCollection 2025.
With the mixing of water and pesticides being a critical step, which is often performed using mixers. Traditional mixers, however, frequently exhibit issues such as uneven mixing and limited ratios. A dual-stage injection jet online mixer was designed to enhance the uniformity of pesticide and water mixing. This paper presents performance tests and uniformity analysis of this mixer, aiming to assess its effectiveness post-installation and to determine if it meets the required mixing performance and uniformity standards. Image analysis was utilized for qualitative assessment, revealing that the mixer's two-dimensional curves in both axial and radial directions matched the pattern of pure pesticides. The root mean square error (RMSE) decreased with increasing mixing ratios, ranging from a minimum of 8.57% at a 300:1 ratio to a maximum of 9.94% at 2000:1. These variations were minimal, indicating good homogeneity across different ratios. Quantitative analysis using UV spectrophotometry showed that the actual mass concentration of the mixture deviated by less than 0.1% from the expected values at different sampling times, confirming superior temporal distribution uniformity. The variation in mixture mass concentration was insignificant across different locations, and the error variation at the same mixing ratio was less than 0.03%, indicating an excellent spatial distribution uniformity of the mixer. These findings demonstrate that the two-stage injection jet online mixer is effective over a wide range of mixing ratios, providing theoretical and technical support for accurate online variable spraying. This advancement is crucial for enhancing pesticide mixing efficiency and promoting sustainable agricultural development.
水与农药的混合是关键步骤，通常使用混合器进行。然而，传统混合器经常出现混合不均匀和比例受限等问题。设计了一种双级喷射在线混合器以提高农药与水混合的均匀性。本文介绍了该混合器的性能测试和均匀性分析，旨在评估其安装后的有效性，并确定其是否符合所需的混合性能和均匀性标准。利用图像分析进行定性评估，结果表明混合器在轴向和径向上的二维曲线与纯农药的模式相匹配。均方根误差（RMSE）随着混合比例的增加而降低，在300:1的比例下最低为8.57%，在2000:1时最高为9.94%。这些变化很小，表明在不同比例下具有良好的均匀性。使用紫外分光光度法进行的定量分析表明，在不同采样时间，混合物的实际质量浓度与预期值的偏差小于0.1%，证实了优异的时间分布均匀性。混合物质量浓度在不同位置的变化不显著，相同混合比例下的误差变化小于0.03%，表明混合器具有出色的空间分布均匀性。这些发现表明，双级喷射在线混合器在广泛的混合比例范围内有效，为精确的在线变量喷雾提供了理论和技术支持。这一进展对于提高农药混合效率和促进可持续农业发展至关重要。
