建立適用于油管損傷檢測的磁性傳感器信息融合模型,并將信息融合模型分為四級。在此基礎(chǔ)上,提出了磁性傳感器信息融合方法,分別完成局部損傷及其嚴(yán)重程度的分類、壁厚損傷的定性判別和壁厚損傷檢測數(shù)據(jù)的融合估計。結(jié)果表明,基于磁性傳感器信息融合的油管損傷在線檢測系統(tǒng)有效地提高了多源信息的利用程度,具有較高的準(zhǔn)確性、可靠性和穩(wěn)健性。
關(guān)鍵詞:輸油管道;損傷;磁性傳感器;信號處理
Abstract : The magnetic sensor data fusion model suitable for the detection of pipeline damage was established and classified into four levels. On the basis of the model and classification , the relevant magnetic sensor data fusion methods were discussed in detail , which were used to accomplish the classification of localized faults and their severity , the qualita2 tive decisions of wall loss and the fusion of the wall loss detection data from sensors respectively. Several examples were provided and the results showed that the magnetic sensor data fusion2based on2line inspection system for the faults in oil pipelines made full use of information and had high accuracy , reliability and robustness.
Keywords :Oil pipeline ; Fault ; Magnetic sensor ; Signal processing