本文選題：無線傳感器網(wǎng)絡(luò) + 數(shù)據(jù)融合��； 參考：《渤海大學》2016年碩士論文

【摘要】：水產(chǎn)養(yǎng)殖的水質(zhì)優(yōu)劣直接影響水產(chǎn)品的健康生長,在養(yǎng)殖過程中對水質(zhì)進行實時監(jiān)測有助于水產(chǎn)養(yǎng)殖活動的順利進行。傳統(tǒng)的監(jiān)測方法存在主觀性強、耗費時間長和測量參數(shù)單一的問題,借助于無線傳感器網(wǎng)絡(luò)和數(shù)據(jù)融合技術(shù)可以實現(xiàn)水質(zhì)的實時監(jiān)測。本文依靠水產(chǎn)養(yǎng)殖監(jiān)測的背景,對無線傳感器網(wǎng)絡(luò)中的數(shù)據(jù)融合技術(shù)進行研究。(1)針對傳感器網(wǎng)絡(luò)中節(jié)點數(shù)據(jù)傳輸量大、能量消耗快的問題,提出了一種能量均衡的數(shù)據(jù)融合方法。該方法利用分簇協(xié)議將放置于目標區(qū)域的傳感器分成幾個簇,每個簇內(nèi)選取一個傳感器作為簇首節(jié)點,將簇首節(jié)點的剩余能量和算法執(zhí)行的輪數(shù)作為簇首節(jié)點更換的標準,并在簇首節(jié)點內(nèi)對本簇數(shù)據(jù)進行自適應加權(quán)融合,達到均衡各節(jié)點能量和減少數(shù)據(jù)傳輸量的目的。(2)針對傳統(tǒng)養(yǎng)殖水質(zhì)監(jiān)測方法無法為養(yǎng)殖用戶提供實時、準確的水質(zhì)信息的問題,提出在養(yǎng)殖水域搭建無線傳感器網(wǎng)絡(luò),利用智能傳感器采集水質(zhì)的參數(shù)信息,并將能量均衡的數(shù)據(jù)融合方法應用到采集過程中。無線傳感器網(wǎng)絡(luò)每半個小時進行一次數(shù)據(jù)采集工作,保障了數(shù)據(jù)的及時性,節(jié)點采集的源數(shù)據(jù)經(jīng)過分類加權(quán)融合后提高了數(shù)據(jù)的準確性。(3)利用MATLAB平臺對水域中的PH值、水溫、溶氧量三種參數(shù)進行融合仿真實驗,結(jié)果表明水質(zhì)融合算法可以有效地綜合各節(jié)點采集的數(shù)據(jù),得出準確性高的參數(shù)估計值。
[Abstract]:The quality of aquaculture directly affects the healthy growth of aquatic products, and real-time monitoring of water quality in the process of aquaculture is conducive to the smooth progress of aquaculture activities. The traditional monitoring methods have the problems of strong subjectivity, long time consumption and single measurement parameters. With the help of wireless sensor networks and data fusion technology, real-time monitoring of water quality can be realized. In this paper, based on the background of aquaculture monitoring, the data fusion technology in wireless sensor networks (WSN) is studied. A data fusion method for energy balance is proposed. In this method, the sensors placed in the target region are divided into several clusters by clustering protocol. One sensor is selected as the cluster head node in each cluster, and the residual energy of the cluster head node and the number of wheels executed by the algorithm are taken as the standard for the cluster head node replacement. In order to balance the energy of each node and reduce the amount of data transmission, the cluster data can be adaptively weighted and fused in the cluster head node. The problem of accurate water quality information is discussed. A wireless sensor network is set up in the aquiculture area. The intelligent sensor is used to collect the parameter information of water quality, and the data fusion method of energy balance is applied to the acquisition process. Wireless sensor network carries out data acquisition every half hour to ensure the timeliness of data. After classified and weighted fusion, the source data collected by nodes can improve the accuracy of the data. (3) using MATLAB platform, the PH value and water temperature in water area are improved. The results show that the fusion algorithm can effectively synthesize the data collected by each node and obtain the accurate parameter estimation.
【學位授予單位】：渤海大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP202

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