埋地燃?xì)夤艿婪栏栽u(píng)估與破損點(diǎn)識(shí)別
本文關(guān)鍵詞：埋地燃?xì)夤艿婪栏栽u(píng)估與破損點(diǎn)識(shí)別 出處：《首都經(jīng)濟(jì)貿(mào)易大學(xué)》2017年碩士論文 論文類型：學(xué)位論文
更多相關(guān)文章： 埋地燃?xì)夤艿?/b> RBF神經(jīng)網(wǎng)絡(luò) SVM支持向量機(jī) 防腐性評(píng)估 破損點(diǎn)識(shí)別
【摘要】：隨著燃?xì)獾膹V泛普及,我國(guó)燃?xì)夤芫W(wǎng)已經(jīng)進(jìn)入了快速發(fā)展的階段。但是因?yàn)槁竦厝細(xì)夤艿篱L(zhǎng)時(shí)間處在一個(gè)比較復(fù)雜的外部環(huán)境條件中,而且隨著管道在役時(shí)間的不斷增加,埋地燃?xì)夤艿赖耐夥栏瘜咏?jīng)常會(huì)發(fā)生腐蝕老化、破損的情況,最終會(huì)引起管道自身的腐蝕穿孔,進(jìn)而發(fā)生燃?xì)庑孤┦鹿?不僅威脅著人民的生命和財(cái)產(chǎn)安全,還會(huì)帶來嚴(yán)重的社會(huì)危害。因此,對(duì)埋地燃?xì)夤艿赖姆栏瘜舆M(jìn)行評(píng)估,并準(zhǔn)確定位缺陷點(diǎn),是保障埋地燃?xì)夤艿腊踩\(yùn)行的有效手段。本文闡述了埋地燃?xì)夤艿腊l(fā)生腐蝕的形式和腐蝕檢測(cè)技術(shù)的相關(guān)理論。在調(diào)研和參與北京市燃?xì)饧瘓F(tuán)對(duì)埋地燃?xì)夤艿婪栏癄顩r檢測(cè)和評(píng)估的基礎(chǔ)上,結(jié)合專家意見,文獻(xiàn)資料,確定了以防腐層種類、運(yùn)行年數(shù)、管段埋深、土壤電阻率、直流雜散電流、防腐層絕緣電阻6個(gè)參數(shù)為埋地燃?xì)夤艿婪栏缘脑u(píng)估指標(biāo),運(yùn)用RBF神經(jīng)網(wǎng)絡(luò)對(duì)北京市埋地燃?xì)夤艿婪栏赃M(jìn)行了綜合評(píng)估,并驗(yàn)證了準(zhǔn)確性。結(jié)果表明,RBF神經(jīng)網(wǎng)絡(luò)對(duì)埋地燃?xì)夤艿栏g性評(píng)估的精度要優(yōu)于北京市燃?xì)饧瘓F(tuán)主觀地綜合評(píng)價(jià)。同時(shí),運(yùn)用SVM支持向量機(jī)對(duì)埋地燃?xì)夤艿赖姆栏瘜悠茡p情況進(jìn)行定位,準(zhǔn)確判斷出了樣本管道的破損情況,為燃?xì)饧瘓F(tuán)管理埋地燃?xì)夤艿?及時(shí)發(fā)現(xiàn)缺陷點(diǎn)問題,進(jìn)行修補(bǔ)和改造,加強(qiáng)埋地燃?xì)夤艿赖娜粘９芾硖峁┝艘欢ǖ膮⒖純r(jià)值。
[Abstract]:With the wide popularity of gas, gas network in China has entered a stage of rapid development. But because of buried gas pipeline for a long time in a relatively complex external environment conditions, and with the increase in service time of the pipeline, anticorrosion layer of buried gas pipeline corrosion often occurs in aging, damaged, eventually will cause the pipeline corrosion perforation of itself, and the occurrence of gas leakage accident, not only threatens the safety of people's lives and property, but also brings serious harm to the society. Therefore, evaluate the anticorrosion layer of buried gas pipeline, and accurate positioning of defects, is the effective means to ensure the safe operation of underground gas pipeline. This paper expounds the related the theory of form and corrosion detection technology of corrosion of buried gas pipeline. In the research and to participate in the Beijing Gas Group on the corrosion status of buried gas pipeline inspection The basic measurement and assessment, combined with expert opinion, literature, to determine the type of coating, the number of years of operation, deep buried pipe, soil resistivity, stray current, insulation resistance of anti-corrosion layer 6 parameters for the evaluation of buried gas pipeline corrosion protection, the use of RBF neural network is evaluated Beijing City buried gas pipeline corrosion, and verify the accuracy. The results show that the RBF neural network to comprehensive evaluation of Beijing gas group is better than the subjective corrosion of buried gas pipeline assessment accuracy. At the same time, the use of SVM to support the anticorrosion of underground gas pipeline damage layer vector machine positioning, accurately determine the damage situation the sample for buried gas pipeline pipeline, gas group management, timely detection of defects, repair and renovation, provides a certain reference value to strengthen the daily management of buried gas pipeline.
【學(xué)位授予單位】：首都經(jīng)濟(jì)貿(mào)易大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU996.7
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