基于大数据的施药平台农药喷洒定量分析研究

Quantitative Analysis of Pesticide Spraying on Pesticide Application Platform Based on Large Data

近年来,我国农用小型无人植保飞机发展势头迅猛,目前国内生产无人植保飞机的厂家已经超过10家,并呈快速增长趋势。为了提高无人机喷药设备喷洒的准确性,提出了基于云技术的施药量大数据实时分析平台,并通过PID调节来实现农药喷洒量的精准控制。为了验证方案的可行性,设计了喷药定量分析实时数据分析平台,并以无人机喷药作为研究对象,对喷药定量分析平台的可靠性进行了测试,包括数据的分析速度及喷药的准确性等。测试结果表明:相比传统的数据分析服务器,基于云技术的大数据分析平台具有更高的施药定量数据分析能力,采用数据分析平台后,施药的精度较高,可以满足无人化植保作业的需求。

In recent years, it is rapid the development momentum of small-scale agricultural unmanned plant protection aircraft in China. At present, there are more than 10 manufacturers producing unmanned plant protection aircraft in China, and the trend is fast growing. In order to improve the accuracy of pesticide spraying in UAV spraying equipment, it proposed a real-time analysis platform for large data of pesticide spraying based on cloud technology, and it realized the precise control of pesticide spraying quantity by PID regulation. In order to verify the feasibility of the scheme, it designed a real-time data analysis platform for quantitative analysis of spraying agent. Taking UAV spraying agent as the research object, it tested the reliability of the platform for quantitative analysis of spraying agent, including the speed of data analysis and the accuracy of spraying agent. The test results show that, compared with the traditional data analysis server, the large data analysis platform based on cloud technology has higher ability of quantitative data analysis of pesticide application. After using the data analysis platform, the precision of pesticide application is also higher, which can meet the needs of the unmanned plant protection operation.