基于嵌入式云计算平台的采棉机监控系统设计

为了提高采棉机的自主导航能力,实现采棉机路径规划的在线控制,对采棉机的智能监控系统进行了设计研究,并将多嵌入式平台引入到了智能控制系统中,采用云处理计算方式对多平台节点进行连接,实现了采棉地块视频采集和处理的实时性和智能化。为了验证智能监控系统的可靠性,在棉田对采棉机的智能监控系统进行了实地测试和功能验证。通过测试表明:该监控系统可使采棉机完成路径规划,能够高精度地完成路径在线追踪,其采净率高、落地棉率和含杂率较低,符合大型机械采棉自动化设计的需求。本次研究为云处理技术在嵌入式平台上的应用提供了有效解决方法,对于大型智能机械装备自动化和信息化监控仪器开发具有指导和借鉴意义。

The Monitoring System Design of Cotton Picker Based on Embedded Cloud Computing Platform

In order to improve the autonomous navigation capabilities of the cotton picker, realize the path planning of online control, the cotton production of intelligent monitoring system were studied to design an embedded platform.With introducing intelligent control system, it adopts cloud computing method of multi platform nodes to connect the cotton plots by video acquisition and the real-time and intelligent processing.In order to validate the reliability of intelligent monitoring system,we have tested many functional verification in intelligent monitoring system for cotton in cotton fields. According to the test result, the monitoring system can effectively make the cotton picker complete path planning, to fin-ish line path tracking with high precision,the high mining net rate, lower landing cotton rate and impurity rate.In line with the large machinery demand for picking cotton automation design, the study for cloud processing technology in the embedded platform provides an effective solution for large-scale intelligent machinery and equipment automation and in-formation monitoring instrument development with guidance and reference significance.