Key Technology Reserch Data Acquisition System Based On Gprs

In recent years, the Internet of Things technology has gradually become the focus of common concern. Along with the rapid development of electronic information technology and its wide range of applications, the agricultural data acquisition technology is also facing new challenges, so the reliability, timeliness and effectiveness of the data acquisition system need to be strengthened.On the basis of the analysis of domestic and international data collection technology Research, key technologies used in the GPRS data acquisition are mainly studied. GPRS-based data acquisition system was simply designed and implemented in this article. The main contents are as follows:The research background, research status and significance of data collection are introduced in this article, and the main contents and the structure is reasonable arrangement.In the paper, the principle of GPRS technology, network structure, advantage are introduced; the main components of the new GPRS network and key interface features as well as various data transmission protocol are analyzed.From the actual environmental needs, the functional requirements of the system and the cost point of view, by comparing performance and price of the MCU component, GPRS module, and a variety of sensor, the module selection of the MCU and GPRS are determined. On the basis of the stereotypes of the MCU and GPRS module, various types of sensors used in the data collection are analyzed and selected. AD converters in the market are also analyzed, and the AD converter model used in this study.is ultimately determined.Finally, each module workflow is analyzed and C++programming language is. used to implement. The article also analyzed the test results of the system.The data acquisition system designed in this article, using the GPRS wireless network resource high utilization, anti-interference ability, high-speed transmission, fast access, wide coverage, reliability and high stability, collectes crop temperature, humidity, CO2and other relevant data in real-time and effectively. Finally, the major work done in this topic, the results of research and inadequacies are summarized in this paper, and prospects are made for future development.