本文關(guān)鍵詞：物聯(lián)網(wǎng)技術(shù)在溫室大棚環(huán)境中的應(yīng)用研究　出處：《吉林大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

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【摘要】：物聯(lián)網(wǎng)是一個新興的技術(shù)，它是將無線傳感器、RFID、嵌入式系統(tǒng)和計算機(jī)網(wǎng)絡(luò)等進(jìn)行結(jié)合而產(chǎn)生的一種技術(shù)，現(xiàn)在已經(jīng)被廣泛應(yīng)用于很多領(lǐng)域，如礦山勘測、地鐵監(jiān)控等，并且取得了良好的應(yīng)用效果，產(chǎn)生了較好的效益。物聯(lián)網(wǎng)在農(nóng)業(yè)生產(chǎn)領(lǐng)域的應(yīng)用對我國來說還是一個較新的課題。溫室大棚在農(nóng)村存在已久，主要靠人工去進(jìn)行管理和監(jiān)控，作為農(nóng)民增收的重要項目，溫室大棚集約化管理是必要的，這樣可以節(jié)省大量的人力和物力，節(jié)省生產(chǎn)成本。本文的研究內(nèi)容正是將物聯(lián)網(wǎng)應(yīng)用于設(shè)施農(nóng)業(yè)的溫室大棚。自動化技術(shù)應(yīng)用于農(nóng)業(yè)生產(chǎn)在近些年來在我國已經(jīng)有了一些進(jìn)展，更多的是機(jī)械化種植和收獲，而對于自動化維護(hù)和管理所做的工作還比較少，對于自動化技術(shù)應(yīng)用于溫室大棚也有了相關(guān)的研究，包括對溫室環(huán)境參數(shù)的采集，然后數(shù)據(jù)傳給上位機(jī)進(jìn)行監(jiān)管，更多的是對溫度和濕度的監(jiān)控，但是還處于實驗階段，，沒有被大面積的推廣。本文研究的內(nèi)容是以實際項目為背景，旨在獲得更廣泛的應(yīng)用。 本文研究的主要內(nèi)容是構(gòu)建溫室大棚環(huán)境物聯(lián)網(wǎng)監(jiān)測系統(tǒng)。設(shè)計了系統(tǒng)的總體架構(gòu)，本系統(tǒng)主要由數(shù)據(jù)采集終端和服務(wù)器構(gòu)成。構(gòu)建了采集終端的模型，數(shù)據(jù)采集部分主要包括溫度采集、濕度采集、光照采集和二氧化碳濃度采集等。選擇采集芯片和設(shè)計測量電路，數(shù)據(jù)采集主要采用無線傳感器網(wǎng)來完成，描述了網(wǎng)絡(luò)構(gòu)建過程。傳感器網(wǎng)絡(luò)中的匯聚結(jié)點我們采用基于arm的S3c2410核心板，S3c2410具有較強(qiáng)的數(shù)據(jù)處理能力，能夠根據(jù)需要編譯和燒錄系統(tǒng)內(nèi)核，采用電源供電。采集的數(shù)據(jù)通過接入網(wǎng)絡(luò)傳輸?shù)椒⻊?wù)器端進(jìn)行存儲和處理，本文設(shè)計了顯示終端實時顯示和管理采集的數(shù)據(jù)，對于異常情況能夠自動報警。領(lǐng)域支持作為服務(wù)器工作的一個部分，這里包含兩方面內(nèi)容：領(lǐng)域知識庫和預(yù)測模型。在農(nóng)業(yè)專家的幫助下構(gòu)建了溫室大棚領(lǐng)域知識庫，領(lǐng)域知識庫主要由兩個部分構(gòu)成：詞條和推理。詳細(xì)記載著一般作物的生長特性，并且能夠根據(jù)作物現(xiàn)有呈現(xiàn)的特征進(jìn)行狀態(tài)推理。利用服務(wù)器采集的數(shù)據(jù)作為主要的樣例數(shù)據(jù)，同時也利用了工程數(shù)學(xué)上的最小二乘法實現(xiàn)了采集參數(shù)的預(yù)測擬合曲線，這也是本文的一個創(chuàng)新點，這也更有利于指導(dǎo)溫室種植技術(shù)。本系統(tǒng)將來會同升降溫系統(tǒng)、加減濕度系統(tǒng)、調(diào)節(jié)光照系統(tǒng)和調(diào)整二氧化碳濃度系統(tǒng)實現(xiàn)有效連接。實現(xiàn)最終的溫室大棚環(huán)境的自動化管理。
[Abstract]:Internet of things is a new technology, it is a combination of wireless sensor RFID, embedded system and computer network. It has been widely used in many fields. Such as mine survey, subway monitoring and so on, and achieved good results. The application of the Internet of things in the field of agricultural production is still a relatively new topic in China. Greenhouse greenhouses have existed in rural areas for a long time, mainly rely on manual management and monitoring. As an important project to increase farmers' income, intensive greenhouse management is necessary, which can save a lot of manpower and material resources. The research content of this paper is to apply the Internet of things to greenhouse shed of facility agriculture. In recent years, the application of automation technology in agricultural production has made some progress in China. More mechanized planting and harvesting, but for automatic maintenance and management of the work done is relatively small, for automation technology in greenhouse has also been relevant research, including the collection of greenhouse environmental parameters. Then the data passed to the host computer for supervision, more on the temperature and humidity monitoring, but is still in the experimental stage, has not been widely spread. The content of this paper is based on the actual project as the background. The aim is to get wider application. The main content of this paper is to build a greenhouse greenhouse environmental Internet of things monitoring system. The overall structure of the system is designed. The system is mainly composed of data acquisition terminal and server. The data acquisition part mainly includes temperature collection, humidity acquisition, illumination acquisition and carbon dioxide concentration acquisition. Select the acquisition chip and design the measuring circuit. The data acquisition is mainly completed by wireless sensor network. This paper describes the process of network construction. We adopt S3c2410 core board based on arm and S3c2410 has strong data processing ability. It can compile and burn the system kernel according to the need, and use the power supply. The collected data can be transferred to the server side to store and process the data through the access network. This paper designs the display terminal to display and manage the collected data in real time, which can alarm the abnormal situation automatically. The domain support is a part of the server work. It includes two aspects: domain knowledge base and prediction model. With the help of agricultural experts, the greenhouse greenhouse domain knowledge base is constructed. The domain knowledge base consists of two parts: entry and reasoning. It can use the data collected by the server as the main sample data. At the same time, the least square method of engineering mathematics is used to realize the prediction fitting curve of the acquisition parameters, which is also an innovation of this paper. This is also more conducive to guiding greenhouse planting technology. The system will rise and cool the system in the future, add and decrease the humidity system. Adjust the illumination system and adjust the carbon dioxide concentration system to realize the effective connection and realize the automation management of the final greenhouse environment.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.44;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孫其博;劉杰;黎

本文編號：1415677