Combine harvester is one of the main equipment of modern agricultural machinery.This reseach is from National Key Technology R&D Program(2006BAD11A03).Through the combine's speed,attachment loss and drum's speed detections,we,building information platform of Combine based on ARM-Linux Embedded Systemcan,control the input load of feeding and improve the work quality and efficiency.ARM becomes the most widely applied 32-bit embedded processor for its extraordinary performance and low power consumption.The embedded Linux also takes the dominant place of embedded operation system because of its strong feature,free using and abundant resources.So,the Arm-Linux embedded system becomes the ideal core component of combine load feedback control system.We elaborated emphatically the load feedback control system's platform build.The hardware part take ARM processor S3C2410A as the core.The software part take Linux2.4 operating system as the core.My prime task is as follows:1.From analysing combine load feedback system and control principle,we,using combine speed as controlled variable,elaborated establish the load feedback control model.2.Using image processing technology,we monitor and detect combine harvester attachment loss.In order to forecast the number of grain loss,the image is binarized and median filterd.3.Using the weighing sensor to the grain weight,we designed yield monitor system.The data is sent to Embedded System.4.Hardware will be divided into these modules:the processors and memory modules;the power,the clock and the restart circuit module;communications module,motor driver module.5.In terms of software,it describes the steps of constructing software platform for the system,such as constructing cross development environment,porting bootloader, porting Linux kernel.Moreover,we describe motor control module,image capturing module,NIC driver module.Finally,we design User Interface with using the Qt/Embedded.The purpose of this paper is to study control platform of the load feedback system for combines,to achieve a small size.high real-time system. |