本文選題：物聯(lián)網(wǎng)　切入點(diǎn)：智慧農(nóng)業(yè)　出處：《浙江大學(xué)》2017年碩士論文

【摘要】：農(nóng)業(yè)物聯(lián)網(wǎng)通過無線傳感器、紅外感應(yīng)器、射頻識(shí)別技術(shù)等信息傳感設(shè)備,將農(nóng)產(chǎn)品和互聯(lián)網(wǎng)連接起來,進(jìn)行實(shí)時(shí)數(shù)據(jù)通信和信息交換,實(shí)現(xiàn)智能化的農(nóng)產(chǎn)品識(shí)別、跟蹤、監(jiān)控和管理的一系列過程。農(nóng)業(yè)物聯(lián)網(wǎng)技術(shù)的快速發(fā)展和廣泛應(yīng)用,促進(jìn)了智慧農(nóng)業(yè)的發(fā)展。基于物聯(lián)網(wǎng)技術(shù)的智慧農(nóng)業(yè)管理系統(tǒng),具有高效地實(shí)現(xiàn)實(shí)時(shí)數(shù)據(jù)通信和信息處理的功能。針對(duì)智慧農(nóng)業(yè)管理系統(tǒng)整體架構(gòu)、數(shù)據(jù)處理和存儲(chǔ)、數(shù)據(jù)挖掘等方面的研究和優(yōu)化有利于系統(tǒng)的高效部署和快速運(yùn)行,對(duì)推進(jìn)農(nóng)業(yè)信息化,提高農(nóng)業(yè)現(xiàn)代化水平有著重大的推動(dòng)作用。本文主要完成工作:(1)基于物聯(lián)網(wǎng)結(jié)構(gòu)模型對(duì)智慧葡萄園管理系統(tǒng)的整體架構(gòu)進(jìn)行研究,采用分層的思想設(shè)計(jì)了整體系統(tǒng)架構(gòu);基于軟件系統(tǒng)設(shè)計(jì)原則對(duì)軟件系統(tǒng)的架構(gòu)進(jìn)行了研究,結(jié)合分層的思想設(shè)計(jì)了軟件系統(tǒng)架構(gòu);遵循標(biāo)準(zhǔn)化的原則基于JSON數(shù)據(jù)交換格式設(shè)計(jì)了軟件系統(tǒng)與嵌入式網(wǎng)關(guān)之間的自定義通信協(xié)議,保證了系統(tǒng)內(nèi)部的信息交換和數(shù)據(jù)通信。(2)解決了系統(tǒng)實(shí)際調(diào)試過程中影響系統(tǒng)運(yùn)行的兩個(gè)問題,一個(gè)是無線傳感器節(jié)點(diǎn)的功耗問題,另一個(gè)是電壓不穩(wěn)定導(dǎo)致的嵌入式數(shù)據(jù)庫崩潰的問題。分析了問題對(duì)整個(gè)系統(tǒng)的影響,并提出了相對(duì)應(yīng)的解決方案,對(duì)改進(jìn)后的方案效果進(jìn)行了分析。(3)對(duì)軟件系統(tǒng)的數(shù)據(jù)存儲(chǔ)模塊、數(shù)據(jù)處理模塊、數(shù)據(jù)挖掘模塊進(jìn)行了研究和優(yōu)化:根據(jù)數(shù)據(jù)庫性能的影響因素和生命周期存儲(chǔ)策略提出數(shù)據(jù)庫的優(yōu)化方案;基于n-of-N模型和生命周期存儲(chǔ)策略的數(shù)據(jù)流處理模型對(duì)數(shù)據(jù)處理模塊進(jìn)行優(yōu)化;基于最遠(yuǎn)優(yōu)先的K-means算法進(jìn)行數(shù)據(jù)挖掘的研究。(4)根據(jù)需求實(shí)現(xiàn)智慧葡萄園管理系統(tǒng),在系統(tǒng)中實(shí)現(xiàn)了數(shù)據(jù)庫存儲(chǔ)優(yōu)化、數(shù)據(jù)處理模塊優(yōu)化以及利用最遠(yuǎn)優(yōu)先K-means算法選擇葡萄植株生長曲線。研究結(jié)果表明,數(shù)據(jù)庫存儲(chǔ)優(yōu)化、基于n-of-N模型和生命周期存儲(chǔ)策略的數(shù)據(jù)流處理模型對(duì)數(shù)據(jù)處理模塊的優(yōu)化,最遠(yuǎn)優(yōu)先K-means算法選擇葡萄植株生長曲線在分層思想設(shè)計(jì)的智慧葡萄園管理系統(tǒng)中都實(shí)現(xiàn)了較好的效果。
[Abstract]:Through wireless sensors, infrared sensors, radio frequency identification technology and other information sensing devices, the agricultural Internet of things connects agricultural products to the Internet for real-time data communication and information exchange, so as to realize intelligent identification and tracking of agricultural products.Monitor and manage a series of processes.The rapid development and wide application of agricultural Internet of things technology has promoted the development of intelligent agriculture.Intelligent agricultural management system based on Internet of things has the function of realizing real-time data communication and information processing efficiently.The research and optimization of intelligent agricultural management system, such as the whole structure of intelligent agricultural management system, data processing and storage, data mining and so on, is conducive to the efficient deployment and rapid operation of the system, and to the promotion of agricultural information,Improving the level of agricultural modernization has a major role in promoting.This paper mainly completes the work: 1) based on the structure model of the Internet of things, the whole structure of the intelligent vineyard management system is studied, and the overall system architecture is designed with the idea of stratification.Based on the principles of software system design, the architecture of software system is studied, and the architecture of software system is designed based on the idea of hierarchy.Following the principle of standardization, a custom communication protocol between software system and embedded gateway is designed based on JSON data exchange format.The information exchange and data communication within the system are guaranteed to solve two problems that affect the operation of the system in the actual debugging process, one is the power consumption of the wireless sensor node, and the other is the power consumption of the wireless sensor node.The other is the voltage instability caused by the embedded database crash problem.The influence of the problem on the whole system is analyzed, and the corresponding solution is put forward. The effect of the improved scheme is analyzed. The data storage module and the data processing module of the software system are analyzed.The data mining module is studied and optimized: according to the influencing factors of database performance and the life-cycle storage strategy, the optimization scheme of database is put forward;The data processing module is optimized based on the n-of-N model and the data stream processing model based on the life-cycle storage strategy, and the data mining based on the farthest priority K-means algorithm is studied. 4) the intelligent vineyard management system is implemented according to the requirements.Database storage optimization, data processing module optimization and selection of grape plant growth curve using farthest priority K-means algorithm are realized in the system.The results show that database storage optimization, data flow processing model based on n-of-N model and lifecycle storage strategy are optimized for data processing module.The farthest priority K-means algorithm for selecting the growth curve of grape plants has achieved good results in the intelligent vineyard management system designed by layering idea.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.44;TN929.5;TP311.52

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 文燕;李敏;;大數(shù)據(jù)在智慧農(nóng)業(yè)中的應(yīng)用與實(shí)現(xiàn)[J];科技展望;2016年26期

2 孫忠富;杜克明;鄭飛翔;尹首一;;大數(shù)據(jù)在智慧農(nóng)業(yè)中研究與應(yīng)用展望[J];中國農(nóng)業(yè)科技導(dǎo)報(bào);2013年06期

3 何勇;聶鵬程;劉飛;;農(nóng)業(yè)物聯(lián)網(wǎng)與傳感儀器研究進(jìn)展[J];農(nóng)業(yè)機(jī)械學(xué)報(bào);2013年10期

4 施連敏;陳志峰;蓋之華;;物聯(lián)網(wǎng)在智慧農(nóng)業(yè)中的應(yīng)用[J];農(nóng)機(jī)化研究;2013年06期

5 陳海明;崔莉;謝開斌;;物聯(lián)網(wǎng)體系結(jié)構(gòu)與實(shí)現(xiàn)方法的比較研究[J];計(jì)算機(jī)學(xué)報(bào);2013年01期

6 廖海生;;數(shù)據(jù)分級(jí)存儲(chǔ)系統(tǒng)中數(shù)據(jù)分級(jí)算法研究[J];甘肅聯(lián)合大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年04期

7 李懷川;吳孟春;;利用微軟圖表控件MSChart實(shí)現(xiàn)紫外線數(shù)據(jù)圖形化顯示[J];計(jì)算機(jī)與網(wǎng)絡(luò);2012年12期

8 錢志鴻;王義君;;物聯(lián)網(wǎng)技術(shù)與應(yīng)用研究[J];電子學(xué)報(bào);2012年05期

9 王千;王成;馮振元;葉金鳳;;K-means聚類算法研究綜述[J];電子設(shè)計(jì)工程;2012年07期

10 李道亮;;物聯(lián)網(wǎng)與智慧農(nóng)業(yè)[J];農(nóng)業(yè)工程;2012年01期

相關(guān)博士學(xué)位論文 前2條

1 曹振麗;面向養(yǎng)殖環(huán)境監(jiān)測的數(shù)據(jù)流處理方法研究[D];中國農(nóng)業(yè)大學(xué);2015年

2 申彥;大規(guī)模數(shù)據(jù)集高效數(shù)據(jù)挖掘算法研究[D];江蘇大學(xué);2013年

，

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