本文關(guān)鍵詞： 無線傳感器網(wǎng)絡(luò) 污染源探測 污染源定位 水環(huán)境　出處：《武漢科技大學(xué)》2016年博士論文　論文類型：學(xué)位論文

【摘要】：水環(huán)境中污染源的探測與定位問題對水環(huán)境保護有重要的意義。論文將無線傳感器網(wǎng)絡(luò)應(yīng)用于水環(huán)境監(jiān)測中,對網(wǎng)絡(luò)平臺總體架構(gòu)、污染源探測和定位等關(guān)鍵問題開展了深入研究。論文的主要工作如下:(1)提出了網(wǎng)絡(luò)污染源探測與節(jié)點污染源探測的方法。針對靜態(tài)污染源探測與動態(tài)污染源探測中存在的探測問題,采用假設(shè)檢驗方法和相關(guān)二值假設(shè),構(gòu)造了檢驗統(tǒng)計量與檢驗方法,檢驗了提出的污染源探測算法。檢驗表明:在網(wǎng)絡(luò)污染源探測中,高檢測精度與具有較大監(jiān)測值的觀測節(jié)點的數(shù)量相關(guān)。而在節(jié)點污染源探測中,只要參照樣本足夠多,較少的采樣時間也能得到更為滿意的檢測精度。(2)提出了兩種湖庫中近岸排放污染源的定位方法:一種方法是邊界約束最小二乘污染源定位算法,另一種是邊界約束最小一乘污染源定位算法。在一般湖庫水環(huán)境中,兩種算法都較無邊界約束情形具有較好的定位效果;在定位節(jié)點中有奇異節(jié)點時,邊界約束最小一乘污染源定位算法較邊界約束最小二乘污染源定位算法具有更好的定位效果。(3)給出了河流中二維污染物濃度分布的通用模型。分析了有邊界和無邊界下污染源的擴散模型,給出了一種考慮邊界影響的二維污染物濃度分布的通用模型。提出一種有邊界約束的非線性最小二乘污染源定位算法。該算法以測量值與理論值之差的平方和為目標函數(shù),具有較好數(shù)值穩(wěn)定性和抗干擾性。通過仿真討論了測量濃度噪聲、節(jié)點漂移誤差和反射系數(shù)誤差對污染源定位估計精度的影響,驗證了所提算法的有效性。(4)建立了面向水環(huán)境監(jiān)測的分布式無線傳感器系統(tǒng)結(jié)構(gòu),搭建了該系統(tǒng)污染源定位實驗平臺,通過該平臺測試了污染源的探測算法與湖庫水環(huán)境中污染源定位算法。
[Abstract]:The detection and location of pollution sources in water environment is of great significance to the protection of water environment. In this paper, wireless sensor networks are applied to water environment monitoring, and the overall architecture of the network platform is discussed. The main work of this paper is as follows: 1). This paper puts forward the methods of network pollution source detection and node pollution source detection, aiming at the problems existing in static pollution source detection and dynamic pollution source detection. By using the hypothesis test method and the correlation binary hypothesis, the test statistics and the inspection method are constructed, and the proposed pollution source detection algorithm is tested. The results show that: in the network pollution source detection. The high detection accuracy is related to the number of observation nodes with larger monitoring values. However, in the detection of node pollution sources, only a sufficient number of reference samples are required. Less sampling time can also get a more satisfactory detection accuracy. 2) two methods are proposed to locate the source of near-shore discharge in lake and reservoir. One method is the boundary constrained least square algorithm. The other is the boundary constraint minimum-multiplicative pollution source location algorithm. In general lake and reservoir water environment, the two algorithms have better localization effect than those without boundary constraint. When there is a singular node in the locator node. The algorithm of boundary constraint least multiplication pollution source location has better localization effect than the boundary constraint least square algorithm. A general model of two-dimensional pollutant concentration distribution in rivers is presented, and the diffusion model of pollution sources with and without boundary is analyzed. In this paper, a general model of two-dimensional pollutant concentration distribution considering the influence of boundary is given. A nonlinear least square source location algorithm with boundary constraints is proposed. The square sum of the difference between the measured and theoretical values is calculated as the sum of the square of the measured value and the theoretical value. Objective function. It has good numerical stability and anti-interference. The effects of measurement concentration noise node drift error and reflection coefficient error on the location estimation accuracy of pollution source are discussed by simulation. The validity of the proposed algorithm is verified. (4) the structure of distributed wireless sensor system for water environment monitoring is established, and the experimental platform of pollution source location of the system is built. Through this platform, the detection algorithm of pollution source and the algorithm of pollution source location in lake and reservoir water environment are tested.
【學(xué)位授予單位】：武漢科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：X832;TP212.9;TN929.5

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