無(wú)線傳感器網(wǎng)絡(luò)多源數(shù)據(jù)融合技術(shù)研究
發(fā)布時(shí)間:2018-11-24 17:12
【摘要】:摘要:隨著無(wú)線傳感器網(wǎng)絡(luò)技術(shù)的飛速發(fā)展和廣泛應(yīng)用,傳感器網(wǎng)絡(luò)內(nèi)的感知數(shù)據(jù)大量增加,如何實(shí)現(xiàn)傳感網(wǎng)中的數(shù)據(jù)融合,是目前無(wú)線傳感器網(wǎng)絡(luò)領(lǐng)域內(nèi)的熱點(diǎn)研究課題之一。在復(fù)雜的無(wú)線傳感器網(wǎng)絡(luò)中,由于傳感器節(jié)點(diǎn)能量受限,同時(shí)傳感網(wǎng)中通信數(shù)據(jù)量大、數(shù)據(jù)種類繁多,因此需要對(duì)多源的無(wú)線傳感器網(wǎng)絡(luò)數(shù)據(jù)進(jìn)行融合處理,從而減少數(shù)據(jù)通信量,提高數(shù)據(jù)準(zhǔn)確度,延長(zhǎng)無(wú)線傳感器網(wǎng)絡(luò)的生命周期。 本文在分析多源數(shù)據(jù)融合技術(shù)的相關(guān)理論基礎(chǔ)上,重點(diǎn)研究了Dempster-Shafer證據(jù)理論(簡(jiǎn)稱DS證據(jù)理論)在無(wú)線傳感器網(wǎng)絡(luò)多源數(shù)據(jù)融合過(guò)程中的若干關(guān)鍵問(wèn)題,主要包括以下幾個(gè)方面: (1)基于DS證據(jù)理論,提出了一種可應(yīng)用于無(wú)線傳感器網(wǎng)絡(luò)實(shí)際應(yīng)用的信度分配策略?紤]到已知樣本數(shù)據(jù)的分布特點(diǎn)對(duì)于信度分配結(jié)果的合理影響,本文提出的證據(jù)理論信度分配策略采用馬氏距離作為被測(cè)目標(biāo)與樣本數(shù)據(jù)間的距離計(jì)算方法,并在考慮到閉合世界假設(shè)和開(kāi)放世界假設(shè)的情況下,構(gòu)建基于指數(shù)函數(shù)形式的基本信度分配函數(shù),同時(shí)設(shè)計(jì)了相應(yīng)的證據(jù)理論信度分配算法。 (2)引入向量空間的概念,提出了基于余弦定理的證據(jù)沖突表示方法。本文在分析了現(xiàn)有的幾類典型數(shù)據(jù)沖突程度表示方法后,指出了各自的特點(diǎn)和存在的不足?紤]到計(jì)算復(fù)雜度的影響,本文應(yīng)用Pignistic概率函數(shù)進(jìn)行證據(jù)信度分配向量的降維,并以向量空間中的角度概念衡量證據(jù)間的沖突程度。 (3)為了解決沖突數(shù)據(jù)的融合問(wèn)題,本文借鑒證據(jù)加權(quán)平均思想,改進(jìn)了一種基于證據(jù)間支持程度的數(shù)據(jù)融合算法。文中應(yīng)用余弦定理得到證據(jù)間的相互支持程度,構(gòu)建證據(jù)相關(guān)矩陣,得到各個(gè)證據(jù)的可信度權(quán)值,再應(yīng)用Murphy方法完成數(shù)據(jù)融合。 論文最后根據(jù)軌道交通安全運(yùn)營(yíng)需求,提出并設(shè)計(jì)實(shí)現(xiàn)了基于證據(jù)理論多源數(shù)據(jù)融合策略的軌道交通變壓器故障診斷系統(tǒng),并對(duì)涉及到的功能架構(gòu)設(shè)計(jì)、數(shù)據(jù)庫(kù)設(shè)計(jì)、各核心功能模塊設(shè)計(jì)進(jìn)行了介紹,最后選取實(shí)例對(duì)系統(tǒng)進(jìn)行了功能驗(yàn)證,取得了良好了效果。
[Abstract]:Absrtact: with the rapid development and wide application of wireless sensor network (WSN) technology, the perceptual data in wireless sensor network (WSN) is increasing greatly, so how to realize the data fusion in WSN. It is one of the hot research topics in the field of wireless sensor networks. In the complex wireless sensor networks, because of the limited energy of sensor nodes, the large amount of communication data and the variety of data in the sensor network, it is necessary to fuse the multi-source wireless sensor network data. In order to reduce the amount of data communication, improve the accuracy of data, extend the life cycle of wireless sensor networks. Based on the analysis of the theory of multi-source data fusion, this paper focuses on the key issues of Dempster-Shafer evidence theory (DS evidence theory) in the process of multi-source data fusion in wireless sensor networks. The main contents are as follows: (1) based on DS evidence theory, a reliability allocation strategy is proposed for practical application in wireless sensor networks (WSN). Considering the reasonable influence of the distribution characteristics of the known sample data on the reliability distribution results, the evidence theory reliability allocation strategy in this paper uses Markov distance as the distance calculation method between the measured target and the sample data. Considering the closed world hypothesis and the open world hypothesis, the basic reliability assignment function based on exponential function is constructed, and the corresponding evidence theory reliability assignment algorithm is designed. (2) introducing the concept of vector space, a method of evidence conflict representation based on cosine theorem is proposed. After analyzing several kinds of typical data conflict degree representation methods, this paper points out their characteristics and shortcomings. Considering the influence of computational complexity, this paper applies the Pignistic probability function to reduce the dimension of the evidence reliability assignment vector, and measures the degree of conflict between the evidence by the angle concept in the vector space. (3) in order to solve the problem of conflict data fusion, this paper improves a data fusion algorithm based on the support degree of evidence by using the idea of weighted average of evidence. In this paper, the degree of mutual support of evidence is obtained by using cosine theorem, and the correlation matrix of evidence is constructed, and the credibility weight of each evidence is obtained, and then the data fusion is completed by using Murphy method. Finally, according to the requirements of rail transit safety operation, a fault diagnosis system of transformer based on multi-source data fusion strategy based on evidence theory is proposed and implemented. The design of each core function module is introduced. Finally, the system is verified by an example, and a good result is obtained.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP212.9;TN929.5
本文編號(hào):2354438
[Abstract]:Absrtact: with the rapid development and wide application of wireless sensor network (WSN) technology, the perceptual data in wireless sensor network (WSN) is increasing greatly, so how to realize the data fusion in WSN. It is one of the hot research topics in the field of wireless sensor networks. In the complex wireless sensor networks, because of the limited energy of sensor nodes, the large amount of communication data and the variety of data in the sensor network, it is necessary to fuse the multi-source wireless sensor network data. In order to reduce the amount of data communication, improve the accuracy of data, extend the life cycle of wireless sensor networks. Based on the analysis of the theory of multi-source data fusion, this paper focuses on the key issues of Dempster-Shafer evidence theory (DS evidence theory) in the process of multi-source data fusion in wireless sensor networks. The main contents are as follows: (1) based on DS evidence theory, a reliability allocation strategy is proposed for practical application in wireless sensor networks (WSN). Considering the reasonable influence of the distribution characteristics of the known sample data on the reliability distribution results, the evidence theory reliability allocation strategy in this paper uses Markov distance as the distance calculation method between the measured target and the sample data. Considering the closed world hypothesis and the open world hypothesis, the basic reliability assignment function based on exponential function is constructed, and the corresponding evidence theory reliability assignment algorithm is designed. (2) introducing the concept of vector space, a method of evidence conflict representation based on cosine theorem is proposed. After analyzing several kinds of typical data conflict degree representation methods, this paper points out their characteristics and shortcomings. Considering the influence of computational complexity, this paper applies the Pignistic probability function to reduce the dimension of the evidence reliability assignment vector, and measures the degree of conflict between the evidence by the angle concept in the vector space. (3) in order to solve the problem of conflict data fusion, this paper improves a data fusion algorithm based on the support degree of evidence by using the idea of weighted average of evidence. In this paper, the degree of mutual support of evidence is obtained by using cosine theorem, and the correlation matrix of evidence is constructed, and the credibility weight of each evidence is obtained, and then the data fusion is completed by using Murphy method. Finally, according to the requirements of rail transit safety operation, a fault diagnosis system of transformer based on multi-source data fusion strategy based on evidence theory is proposed and implemented. The design of each core function module is introduced. Finally, the system is verified by an example, and a good result is obtained.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP212.9;TN929.5
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