本文選題：旱情監(jiān)測(cè) + STM32F103ZET6微處理器�。� 參考：《西安工程大學(xué)》2015年碩士論文

【摘要】：我國是一個(gè)幅員遼闊、地形復(fù)雜、氣候多樣的國家,由于獨(dú)特的地理因素和自然條件,我國旱情災(zāi)害頻發(fā),開展旱情監(jiān)測(cè)意義重大。早期對(duì)旱情的監(jiān)測(cè)主要依靠于人工觀測(cè),存在著工作量大,時(shí)效性差的問題,隨著科技的發(fā)展,國家越來越重視現(xiàn)代化旱情監(jiān)測(cè)手段的研發(fā)。本文結(jié)合旱情信息采集技術(shù)與無線通信數(shù)據(jù)傳輸技術(shù),研制了基于STM32的旱情信息采集和數(shù)據(jù)遠(yuǎn)程傳輸?shù)倪b測(cè)終端機(jī)�？蓪�(shí)現(xiàn)對(duì)土壤含水率、蒸發(fā)量、降雨量和溫度的實(shí)時(shí)數(shù)據(jù)采集,并將采集的數(shù)據(jù)通過GPRS無線網(wǎng)絡(luò)上報(bào)給中心站;通過中心站基于BP神經(jīng)網(wǎng)絡(luò)算法的旱情等級(jí)預(yù)測(cè)模型,實(shí)時(shí)對(duì)遙測(cè)終端機(jī)上報(bào)的旱情參量數(shù)據(jù)進(jìn)行綜合評(píng)估,實(shí)現(xiàn)了旱情等級(jí)的預(yù)測(cè)、預(yù)報(bào)。具體研究?jī)?nèi)容如下:(1)傳感器選擇:根據(jù)旱情信息監(jiān)測(cè)的特點(diǎn),權(quán)衡各種監(jiān)測(cè)傳感器在功能、成本、功耗和可靠性方面的特點(diǎn),選擇適合本系統(tǒng)開發(fā)的相關(guān)傳感器。(2)遙測(cè)終端機(jī)研制:通過系統(tǒng)功能需求分析,研究了實(shí)現(xiàn)各模塊功能的相關(guān)技術(shù),設(shè)計(jì)了以STM32F103ZET6微處理器為核心,擴(kuò)展系統(tǒng)的數(shù)據(jù)存儲(chǔ)模塊、數(shù)據(jù)采集模塊、操作顯示以及無線通信模塊,制作了硬件電路板,編寫了相關(guān)程序,并對(duì)系統(tǒng)進(jìn)行相關(guān)調(diào)試,達(dá)到了設(shè)計(jì)要求。(3)系統(tǒng)中心站論證:主要介紹了中心站各模塊的功能,重點(diǎn)對(duì)基于BP神經(jīng)網(wǎng)絡(luò)的旱情等級(jí)預(yù)測(cè)模型在理論上進(jìn)行了可行性分析。本課題是在西安某公司的實(shí)際科研項(xiàng)目支助下開發(fā)完成的,系統(tǒng)軟硬件設(shè)計(jì)完成后,進(jìn)行了反復(fù)的實(shí)驗(yàn)室測(cè)試和田間測(cè)量實(shí)驗(yàn),對(duì)比分析了實(shí)驗(yàn)數(shù)據(jù),結(jié)果表明,本系統(tǒng)能夠有效地完成旱情信息的采集和上報(bào),準(zhǔn)確地對(duì)旱情數(shù)據(jù)做具體的分析。
[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.
【學(xué)位授予單位】：西安工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：S423;TP274

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 孫麗,陳煥偉,趙立軍,洪敏;遙感監(jiān)測(cè)旱情的研究進(jìn)展[J];農(nóng)業(yè)環(huán)境科學(xué)學(xué)報(bào);2004年01期

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本文編號(hào)：2070854