ARM-Based Design And Implementation Of Farmland Parallel Server

Precision agriculture proposed in the 80s of last century, it has been 30 years since now.Today precision agriculture is a new agricultural production system which combined with global satellite positioning technology (GPS), geographic information technology (GIS), remote sensing (RS). The information collected form farmland has large,multi-dimensional, dynamic, uncertain, incomplete, sparse, strong spatial and temporal variability of the characteristics which any other industry collection does not have.With the 3S technology used in precision agriculture, the types of field data collection scope, the accuracy of collected also has been expanded dramatically. For the above reasons lead the traditional single chip acquisition system cannot adapt the requirements of precision agriculture data collection. ARM is designed for general-purpose embedded system with high-performance, low power consumption, and scalable features and with the development of wireless technology, a large number of wireless sensor networks deployed in the field composed of multi-hop intelligent network of distributed information system for farmland acquisition become trends. How to mining ARM performance as much as possible to improve the efficiency of data transfer become a research hotspot.The purpose of this paper is to improve the transmission rate of distributed data acquisition. The main method is to build a ARM service system to parallel transmit collection data, analysis the conclusions and feedback to the user.The researches are included:1. Build the embedded Linux system based on ARM, including the bootloader transplantation, kernel streamlined and file system optimization.2. Redesigned the duplex communication protocol between ARM and wireless sensor networks to guarantee bidirectional transmission stability.3. Design server applications based on embedded Linux to achieve multiple concurrent client support;4. Design cloud intelligent module and the way to storage its related structure in embedded Linux and realize data collection and device control on cloud modules.Finally contrary to the flaw of the server comments some suggestions to improve and put forward to clusters and distributed transmission farmland server...