基于多類數(shù)據(jù)處理方法聯(lián)合分析的運營橋梁安全性預(yù)警分級

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MA Yaohua

（China National Chemical Construction Investment Group Co.，Ltd.，Beijing 10230O，China）

Abstract：：Inorder toreasonablyrealize thesafetyearlywarningclasificationofoperationalbridges，combinedwith the measureddataof denoising processing，the corresponding earlywarning criteria wereconstructedbased ontheaccumulated deformation sequence，rate sequence andacceleration sequence，torealize the multi-source information fusionof he safety earlywarningclasificationofoperational bridges，andfullyensure theaccuracyoftheclassificationresults.Theresultsshow thatPSO-DVMDmodelcanefctivelyremoverandom noisefrombridge deformationdataand issuitable fordenoising bridge deformationdata.Therearesomediffrencesintheearlywarning levelsofdiferentmonitoring pointsormonitoring itemsunder diferentcriteria，andthesafetyearlywarninglevelsofbridgesaredeterminedcomprehensivelyacordingtotheunfavorable principle.Theearly-waringclassficationofoperationalbridgesprovidesaquantitativeclassficationstandardforthesafety evaluation of operational bridges，which is worthy of further popularization and application.

Keywords： bridges； denoising； security early warning； correlation vector machine； trend judgment

0 引言

目前，橋梁工程數(shù)量日益增加，其建成后的運營安全顯得格外重要，因此，開展運營橋梁的安全性預(yù)警分級研究具有重要意義[1-2]。（剩余8308字）