基于多维数据转换的混凝土坝异常值智能识别方法

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关键词:混凝土坝;异常值识别;数据转换;深度学习;CWT;SVM中图分类号:TV62 文献标志码:A doi:10.3969/j.issn.1000-1379.2025.07.021[用格式:苏晓军,许增光,张野,等.基于多维数据转换的混凝土坝异常值智能识别方法[J].人民黄河,2025,47(7):131-136,143.
Intelligent Identification Method for Abnormal Values of Concrete Dams Based on Multi-Dimensional Data Transformation
SU Xiaojun’, XU Zengguang', ZHANG Ye¹, ZHONG Wen', ZHOU Tao²,YANG Tao³,LI Kangping4 (1.State KeyLaboratoryof WaterEngineering Ecology and Environment in Arid Area,Xi'an Universityof Technology, Xi'an 710048,China;2.Huanghe Hydropower Development Co.,Ltd.,Xining 810000,China; 3.ChinaYangtzePowerCo.,Ltd.,Yibin644612,China;4.PowerChinaNorthwestEngineringCo.,Ltd.,Xi’an710065,China) Abstract:AnoalydetectioinefoatiomoitogdataofocetedamsisaeyspectofstructuralhalthdgosisHoeaditionalmethodsallsuffrosteetoaucideaeractoapalisdlofiaal nosis.Indertdestseisssiserproposdanintellgnaomalyetectionetdforoetedssdouli sionaldataafoatiodatprogtcacdfefoaleeiostltodoati monitoringdataofconcretegravitydamintooalmeasurementvaluesandfourtypicalaboalmeasurementvaluesofjump-tye,steptype,platfo-tadlto-te.Tnotiuuswavelettrasfoasudtooertodmesioaldfoatiotiesdata intotwo-dimesaliagsithfqcyjinteaus,utrafongtoalyeetiotoagecasificatioiuia high-dimensional feature space.By leveraging the Inception-ResNet- σ⋅v2 deep learning image pre-training model,the method extracted abnormalfeaturesfromtheimages.Fallasupprtvectormachine(SVM)wasusedtobuildananomalydetectionmodelforteconcetedam smeasurementvaluesEngineringcasevalidationshowsthattheproposedmethodexhibitsoutstandingperformanceinanomalydetection tasks,with accuracy,precision,recall and F1 score reaching 97% , 98% , 96% and 97 % respectively,all outperforming the comparison models.Tereseachotolyonfisteeancementfectoftifrequncyiagerepresentationondeforationanomalyfatureutalsodemonstratestedvantagsofeelaingingengeingmoiigdata.Teesultsprovideaitellgnandfntsoution for deformation anomaly detection in concrete dams.
Key words:concrete dam;abnormal value identification; data transformation;deep learning;CWT; SVR
0 引言
混凝土坝作为重要的水利枢纽工程,其长期安全运行直接关系到下游人民的生命财产安全以及社会经济的稳定[1-2]。(剩余8791字)