基于嵌入式机器视觉的水稻秧盘育秧图像无线传输系统

杂交稻机械化秧盘精密播种育秧过程中需要人工实时监测,以保证秧盘播种性能,为解决传统人工长时间户外、低效的监测方式,设计了基于嵌入式机器视觉的水稻秧盘育秧图像无线传输系统。系统由嵌入式开发平台、无线Wi Fi网关、高清网络摄像头、红外传感模块、远程服务器等组成。嵌入式开发平台采用Tiny4412开发板,并在其上移植Linux系统、摄像头驱动、GPIO口驱动;采用Qt开发工具,完成图像采集、实时显示,并设计出友好的人机交互界面;利用Jpeglib静态库对图像进行数据压缩;利用无线Wi Fi局域网、嵌入式系统和远程服务器按照规定的协议通过Socket通信进行数据传输。远程服务器基于Netty框架对采集到的图像数据进行校验、实时显示和保存。试验结果表明,不同分辨率图像的无线传输速率均满足育秧流水线实时作业要求,JPEG格式的图像经过数据压缩,其传输速率大大提高;嵌入式采集终端能够稳定采集播种秧盘图像,并成功地上传到服务器,网络平均丢包率为0.23%,误码率为0.23%。

Design of Rice Nursery Tray Images Wireless Transmission System Based on Embedded Machine Vision

Because the sowing performance of precision rice seeders is influenced not only by the operational parameters but also by the physical properties of seeds, during the rice seedling nursery process, sowing quantity in plug tray varies from time to time. Therefore, monitoring of sowing quantity by workers is needed. In order to solve the problem that human labor spends much time on working in outdoor environment and its low efficiency, a rice nursery tray images wireless transmission system based on embedded machine vision was designed. The embedded machine vision system was composed of embedded development platform Tiny4412, WiFi gateway, network camera, infrared sensor module and remote computer. The embedded Linux operating system, camera driver, GPIO port driver and network file system configuration were installed in embedded development platform. Applications for the device were programmed with Qt development tool. The applications included image acquisition, real-time images displaying on screen and friendly interactive interface. Jpeglib static library was used to compress the images. Through the WiFi network, embedded system and remote server achieved socket communication in accordance with the provision of protocol data transmission. The remote server achieved collecting, validating, displaying and saving the images based on the Netty framework. The test results showed that the transmission of BMP and the compressed JPEG images could meet the operational requirements of automated rice sowing test line. The transmission rate of JPEG images was greatly improved. The embedded data acquisition terminal could collect stable seeding tray images, and successfully upload to the server. The network average packet loss rate was 0.23% and the error rate was 0.23%. The design of the system laid the experimental platform for the achievement of remote control to the rice sowing quantity of rice sowing test line and the development of embedded-machine-vision-based system for rice nursery trays sowing quantity detection.