本文關(guān)鍵詞： 無線傳感器網(wǎng)絡(luò) RSSI 堤壩出險(xiǎn)定位 貝葉斯濾波　出處：《華東交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：自建國(guó)以來，我國(guó)共建成大中小型堤壩超過九萬座，堤壩會(huì)隨著使用時(shí)間的延長(zhǎng)而出現(xiàn)不同的安全隱患，需要對(duì)堤壩進(jìn)行長(zhǎng)期、有效的安全監(jiān)測(cè)以實(shí)現(xiàn)維護(hù)。堤壩所處的環(huán)境決定了監(jiān)測(cè)環(huán)境的惡劣，隨著傳感器技術(shù)、無線通信技術(shù)和嵌入式技術(shù)的發(fā)展，利用無線傳感器網(wǎng)絡(luò)技術(shù)對(duì)堤壩進(jìn)行監(jiān)測(cè)成為研究的熱點(diǎn)，其中對(duì)堤壩出險(xiǎn)位置及時(shí)準(zhǔn)確的定位是研究的核心內(nèi)容之一。 無線傳感器網(wǎng)絡(luò)靈活、低功耗以及經(jīng)濟(jì)的優(yōu)點(diǎn)導(dǎo)致其缺點(diǎn)同樣明顯，節(jié)點(diǎn)的能源、計(jì)算能力以及存儲(chǔ)能力制約了定位的精確程度，堤壩安全監(jiān)測(cè)的環(huán)境相對(duì)比較復(fù)雜，要充分考慮到環(huán)境噪聲和人為因素的干擾。 本文通過對(duì)每種測(cè)量方法的適用范圍和優(yōu)缺點(diǎn)進(jìn)行研究和比較，選用RSSI作為定位的測(cè)距方法，，為了保障信號(hào)強(qiáng)度采樣的準(zhǔn)確，提出了應(yīng)用貝葉斯統(tǒng)計(jì)原理進(jìn)行濾波以提高定位的準(zhǔn)確性，以滿足在不增加額外的硬件開銷的同時(shí)滿足測(cè)量精度的要求。在現(xiàn)有研究成果的基礎(chǔ)上，進(jìn)行基于貝葉斯濾波和RSSI測(cè)距的堤壩出險(xiǎn)定位算法研究，主要分析影響定位精度的兩個(gè)主要因素：測(cè)距誤差和計(jì)算誤差，其主要研究成果如下： 1.測(cè)距誤差方面：分析在堤壩安全監(jiān)測(cè)出險(xiǎn)定位中影響RSSI測(cè)距準(zhǔn)確性的因素并建立無線信道傳輸損耗模型。由于RSSI采樣具有隨機(jī)性等特性，需要對(duì)RSSI采樣進(jìn)行高斯濾波以提高采樣準(zhǔn)確度，以降低測(cè)距誤差； 2.計(jì)算誤差方面：分析三角形質(zhì)心算法以及加權(quán)三角質(zhì)心算法等定位算法對(duì)計(jì)算誤差的影響，提出運(yùn)用貝葉斯統(tǒng)計(jì)原理進(jìn)行濾波以提高準(zhǔn)確度的方法，以降低計(jì)算誤差。
[Abstract]:Since the founding of the people's Republic of China, more than 90,000 large and medium-sized dikes have been built in our country. With the extension of the working time, there will be different hidden dangers to the safety of the dikes, which need to be carried out for a long time. Effective security monitoring to achieve maintenance. The environment of the dam determines the poor monitoring environment, with the development of sensor technology, wireless communication technology and embedded technology. Using wireless sensor network (WSN) technology to monitor the dike has become a hot topic, among which the timely and accurate location of the levee risk location is one of the core contents of the research. The advantages of flexibility, low power consumption and economy in wireless sensor networks lead to the obvious disadvantages. The energy, computing power and storage capacity of nodes restrict the accuracy of location. The environment of dam safety monitoring is relatively complex, so environmental noise and human disturbance should be fully taken into account. Through the study and comparison of the scope of application, advantages and disadvantages of each measurement method, RSSI is chosen as the location method to ensure the accuracy of signal intensity sampling. In order to satisfy the requirement of measurement accuracy without additional hardware overhead, the Bayesian statistical principle is proposed to improve the accuracy of location. On the basis of the existing research results. Based on Bayesian filtering and RSSI distance finding, the paper mainly analyzes the two main factors that affect the location accuracy: ranging error and calculation error. The main research results are as follows: 1. Ranging error: analyze the factors that affect the accuracy of RSSI ranging in the safety monitoring of dike and dam, and establish the wireless channel transmission loss model. Because of the randomness of RSSI sampling, etc. Gao Si filter is needed for RSSI sampling to improve sampling accuracy and reduce ranging error. 2. Calculation error: the influence of triangle centroid algorithm and weighted triangular centroid algorithm on calculation error is analyzed, and the method of using Bayesian statistical principle to filter to improve accuracy is put forward. To reduce the calculation error.
【學(xué)位授予單位】：華東交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TV698.1

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