土壤旱情监测系统设计

发布时间：2018-06-26 17:42

本文选题：旱情监测 + STM32F103ZET6微处理器　；参考：《西安工程大学》2015年硕士论文

【摘要】：我国是一个幅员辽阔、地形复杂、气候多样的国家,由于独特的地理因素和自然条件,我国旱情灾害频发,开展旱情监测意义重大。早期对旱情的监测主要依靠于人工观测,存在着工作量大,时效性差的问题,随着科技的发展,国家越来越重视现代化旱情监测手段的研发。本文结合旱情信息采集技术与无线通信数据传输技术,研制了基于STM32的旱情信息采集和数据远程传输的遥测终端机。可实现对土壤含水率、蒸发量、降雨量和温度的实时数据采集,并将采集的数据通过GPRS无线网络上报给中心站;通过中心站基于BP神经网络算法的旱情等级预测模型,实时对遥测终端机上报的旱情参量数据进行综合评估,实现了旱情等级的预测、预报。具体研究内容如下:(1)传感器选择:根据旱情信息监测的特点,权衡各种监测传感器在功能、成本、功耗和可靠性方面的特点,选择适合本系统开发的相关传感器。(2)遥测终端机研制:通过系统功能需求分析,研究了实现各模块功能的相关技术,设计了以STM32F103ZET6微处理器为核心,扩展系统的数据存储模块、数据采集模块、操作显示以及无线通信模块,制作了硬件电路板,编写了相关程序,并对系统进行相关调试,达到了设计要求。(3)系统中心站论证:主要介绍了中心站各模块的功能,重点对基于BP神经网络的旱情等级预测模型在理论上进行了可行性分析。本课题是在西安某公司的实际科研项目支助下开发完成的,系统软硬件设计完成后,进行了反复的实验室测试和田间测量实验,对比分析了实验数据,结果表明,本系统能够有效地完成旱情信息的采集和上报,准确地对旱情数据做具体的分析。
[Abstract]:China is a country with a vast territory, complicated topography and diverse climate. Due to the unique geographical factors and natural conditions, drought disasters occur frequently in China, so it is of great significance to carry out drought monitoring. The early monitoring of drought mainly depends on artificial observation, which has the problems of heavy workload and poor timeliness. With the development of science and technology, the government pays more and more attention to the research and development of modern drought monitoring means. Combining the technology of drought information acquisition and wireless communication data transmission, this paper develops a telemetering terminal of drought information acquisition and remote data transmission based on STM32. The real-time data collection of soil moisture, evaporation, rainfall and temperature can be realized, and the collected data can be reported to the central station through GPRS wireless network, and the drought grade prediction model based on BP neural network algorithm can be used in the central station. The drought parameter data reported by telemetering terminal are comprehensively evaluated in real time, and the forecast of drought level is realized. The specific research contents are as follows: (1) Sensor selection: according to the characteristics of drought information monitoring, the characteristics of various monitoring sensors in function, cost, power consumption and reliability are weighed. Select the relevant sensors suitable for the development of the system. (2) the development of telemetering terminal machine: through the analysis of the system function requirements, the related technology to realize the function of each module is studied, and the data storage module of the system is designed with STM32F103ZET6 microprocessor as the core. Data acquisition module, operation display and wireless communication module, made the hardware circuit board, compiled the related program, and carried on the related debugging to the system. Meet the design requirements. (3) system central station demonstration: this paper mainly introduces the function of each module of central station, and focuses on the feasibility analysis of drought grade prediction model based on BP neural network in theory. This project was developed under the support of the actual scientific research project of a company in Xi'an. After the software and hardware design of the system was completed, repeated laboratory tests and field measurement experiments were carried out, and the experimental data were compared and analyzed. The results show that, The system can collect and report drought information effectively and analyze drought data accurately.
【学位授予单位】：西安工程大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S423;TP274

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