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管道內(nèi)部缺陷定位的一致性檢驗(yàn)改進(jìn)算法

發(fā)布時(shí)間:2018-06-07 03:55

  本文選題:內(nèi)檢測 + 缺陷定位 ; 參考:《測繪科學(xué)技術(shù)學(xué)報(bào)》2016年04期


【摘要】:針對管道內(nèi)部缺陷定位中,里程輪累積誤差較大的問題,提出了一種改進(jìn)的一致性檢驗(yàn)算法。在原有一致性檢驗(yàn)的基礎(chǔ)上,新定義了一種置信距離測度,消除了不同測量精度里程輪之間存在兩種置信距離的情況,再利用閾值分辨出有效數(shù)據(jù)和較大誤差定位數(shù)據(jù),消除較大誤差對定位結(jié)果的干擾。綜合運(yùn)用一致性檢驗(yàn)和極大似然估計(jì),進(jìn)行管道內(nèi)部缺陷檢測定位分析,通過試驗(yàn)對比分析可知,新的一致性檢驗(yàn)算法具有良好的抗干擾性,其平均相對定位誤差為0.212%,有效減少了里程輪定位的累積誤差,實(shí)現(xiàn)了管道內(nèi)部缺陷檢測的高精度定位,滿足管道內(nèi)檢測的實(shí)際工程需求。
[Abstract]:In order to solve the problem that the accumulative error of mileage wheel is large, an improved consistency checking algorithm is proposed. Based on the original consistency test, a new confidence distance measure is defined, which eliminates the existence of two confidence distances between mileage wheels with different measuring accuracy, and then uses the threshold to distinguish the effective data from the large error location data. The interference of large error to the positioning result is eliminated. By using consistency test and maximum likelihood estimation, the location analysis of pipeline internal defect detection is carried out. The results show that the new consistency checking algorithm has good anti-interference performance. The average relative positioning error is 0.212, which effectively reduces the accumulative error of mileage wheel positioning, realizes the high precision positioning of pipeline internal defect detection, and meets the practical engineering requirements of pipeline detection.
【作者單位】: 西南石油大學(xué)土木工程與建筑學(xué)院;四川省第三測繪工程院;四川科宏石油天然氣工程有限公司;西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;
【基金】:四川省科技計(jì)劃項(xiàng)目(2015SZ0046) 四川省地理國情監(jiān)測工程技術(shù)研究中心開放基金項(xiàng)目(GC201517)
【分類號】:TU990.3


本文編號:1989652

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