{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:25:16Z","timestamp":1760149516600,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,12]],"date-time":"2023-08-12T00:00:00Z","timestamp":1691798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing Outstanding Youth Science Foundation","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]},{"name":"Chongqing Science and Technology Project","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]},{"name":"Chongqing Transportation Science and Technology Project","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]},{"name":"Science and Technology Project of Guizhou Department of Transportation","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]},{"name":"China Postdoctoral Science Foundation","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]},{"name":"Special Funding of Chongqing Postdoctoral Research Project","award":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"],"award-info":[{"award-number":["52278292","CSTB2023NSCQ-JQX0029","CSTB2022TIAD-KPX0205","2022-01","2023-122-001","2023M730431","2022CQBSHTB2053"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Aiming at comprehensively evaluating the status of a bridge monitoring system, an evaluation framework based on the improved Delphi, analytic Hierarchy process, Grey relations analysis and Fuzzy integrated evaluation (DHGF) is selected. Firstly, the evaluation indexes for the bridge monitoring system are determined by an anonymous group discussion and expert questionnaire using the improved Delphi method. Secondly, a comparison matrix of the evaluation indexes is constructed to determine the comprehensive weight via the analytic hierarchy process. Then, based on the gray relations analysis, the albino weight function is constructed, the evaluation gray class is determined, and the single-factor fuzzy evaluation matrix is obtained. Finally, the final evaluation result was obtained by the fuzzy comprehensive evaluation. The evaluation results of a real bridge monitoring system show that the evaluation level of the monitoring system was level II, and the proposed framework could better reflect the construction and operation status of the monitoring system.<\/jats:p>","DOI":"10.3390\/s23167139","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T11:07:10Z","timestamp":1692011230000},"page":"7139","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["An Evaluation Framework for Construction Quality of Bridge Monitoring System Using the DHGF Method"],"prefix":"10.3390","volume":"23","author":[{"given":"Jingzhou","family":"Xin","sequence":"first","affiliation":[{"name":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4737-5275","authenticated-orcid":false,"given":"Qizhi","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renli","family":"Zhang","sequence":"additional","affiliation":[{"name":"Northeast Operation Branch of Chongqing Expressway Group Co., Ltd., Chongqing 401120, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Yang","sequence":"additional","affiliation":[{"name":"Northeast Operation Branch of Chongqing Expressway Group Co., Ltd., Chongqing 401120, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,12]]},"reference":[{"key":"ref_1","first-page":"247","article-title":"Automatic separation of temperature effects from bridge cable force data based on the VMD-PE-KLD algorithm","volume":"38","author":"Xin","year":"2023","journal-title":"Int. J. Robot. Autom."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1007\/s13349-023-00679-4","article-title":"Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method","volume":"13","author":"Li","year":"2023","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"114285","DOI":"10.1016\/j.engstruct.2022.114285","article-title":"Bridge deformation prediction based on SHM data using improved VMD and conditional KDE","volume":"261","author":"Xin","year":"2022","journal-title":"Eng. Struct."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"102290","DOI":"10.1016\/j.strusafe.2022.102290","article-title":"A novel eigenvalue-based iterative simulation method for multi-dimensional homogeneous non-Gaussian stochastic vector fields","volume":"100","author":"Jiang","year":"2023","journal-title":"Struct. Saf."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, C., Wang, X., and Ma, C. (2017). Wind Tunnel Measurements for Flutter of a Long-Afterbody Bridge Deck. Sensors, 17.","DOI":"10.3390\/s17020335"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.1007\/s12205-020-2256-7","article-title":"Autoregressive model-based structural damage identification and localization using convolutional neural networks","volume":"24","author":"Tang","year":"2020","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"117754","DOI":"10.1016\/j.jsv.2023.117754","article-title":"Efficient Buffeting Analysis of Long-Span Bridges under Non-Stationary Winds: A 2D Interpolation Enhanced Approach","volume":"559","author":"Tao","year":"2023","journal-title":"J. Sound Vib."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"108037","DOI":"10.1016\/j.soildyn.2023.108037","article-title":"Record-based simulation of three-component long-period ground motions: Hybrid of surface wave separation and multivariate empirical mode decomposition","volume":"172","author":"Liu","year":"2023","journal-title":"Soil Dyn. Earthq. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"104001","DOI":"10.1016\/j.jweia.2019.104001","article-title":"Simulation of stationary wind field based on adaptive interpolation-enhanced scheme","volume":"195","author":"Jiang","year":"2019","journal-title":"J. Wind Eng. Ind. Aerod."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"104798","DOI":"10.1016\/j.jweia.2021.104798","article-title":"Fast simulation of nonstationary wind velocity fields by proper orthogonal decomposition interpolation","volume":"219","author":"Zhao","year":"2021","journal-title":"J. Wind Eng. Ind. Aerod."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"115611","DOI":"10.1016\/j.engstruct.2023.115611","article-title":"Experimental study on the ultimate bearing capacity of damaged RC arches strengthened with ultra-high performance concrete","volume":"279","author":"Yang","year":"2023","journal-title":"Eng. Struct."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"112099","DOI":"10.1016\/j.enconman.2019.112099","article-title":"A novel wind speed prediction method based on robust local mean decomposition, group method of data handling and conditional kernel density estimation","volume":"200","author":"Jiang","year":"2019","journal-title":"Energ. Convers. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"112797","DOI":"10.1016\/j.measurement.2023.112797","article-title":"A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM","volume":"214","author":"Xin","year":"2023","journal-title":"Measurement"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"111120","DOI":"10.1016\/j.measurement.2022.111120","article-title":"Novel identification technique of moving loads using the random response power spectral density and deep transfer learning","volume":"195","author":"Tang","year":"2022","journal-title":"Measurement"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117033","DOI":"10.1016\/j.jsv.2022.117033","article-title":"Fast identification of random loads using the transmissibility of power spectral density and improved adaptive multiplicative regularization","volume":"534","author":"Tang","year":"2022","journal-title":"J. Sound Vib."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"111981","DOI":"10.1016\/j.enconman.2019.111981","article-title":"A new hybrid framework for probabilistic wind speed prediction using deep feature selection and multi-error modification","volume":"199","author":"Jiang","year":"2019","journal-title":"Energ. Convers. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3450","DOI":"10.1177\/13694332221133604","article-title":"LSTM approach for condition assessment of suspension bridges based on time-series deflection and temperature data","volume":"25","author":"Wang","year":"2022","journal-title":"Adv. Struct. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"e2824","DOI":"10.1002\/stc.2824","article-title":"Faulty data detection and classification for bridge structural health monitoring via statistical and deep-learning approach","volume":"28","author":"Jian","year":"2021","journal-title":"Struct. Control Health Monit."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1177\/14759217221087147","article-title":"Deep learning-based indirect bridge damage identification system","volume":"22","author":"Hajializadeh","year":"2023","journal-title":"Struct. Health Monit.-Int. J."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zhang, L., He, Y., Cheng, S., Wang, G., Wang, B., Chen, K., and Dong, L. (2021, January 11\u201318). Bayes method for bridge robustness assessment based on monitoring data. Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management (IABMAS), Electr Network, Sapporo, Japan.","DOI":"10.1201\/9780429279119-289"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.jsv.2018.10.062","article-title":"Sensor fault detection with generalized likelihood ratio and correlation coefficient for bridge SHM","volume":"442","author":"Li","year":"2019","journal-title":"J. Sound Vib."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1080\/10168664.2021.1983914","article-title":"Signal Anomaly Detection of Bridge SHM System Based on Two-Stage Deep Convolutional Neural Networks","volume":"33","author":"Li","year":"2023","journal-title":"Struct. Eng. Int."},{"key":"ref_23","unstructured":"Yu, X.B. (2020, January 18\u201320). Research on Sensor State Evaluation and Fault Diagnosis based on Multi-dimensional Information Fusion. Proceedings of the International Conference on Optoelectronic Materials and Devices (ICOMD), Guangzhou, China."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.measurement.2019.05.081","article-title":"Location of substation in similar candidates using comprehensive evaluation method base on DHGF","volume":"146","author":"Qin","year":"2019","journal-title":"Measurement"},{"key":"ref_25","first-page":"785","article-title":"Culture innovation of building enterprises based on WSR","volume":"5","author":"Jin","year":"2010","journal-title":"Tech. Technol. Educ. Manag.-Ttem"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"110042","DOI":"10.1016\/j.asoc.2023.110042","article-title":"Multi-source fuzzy comprehensive evaluation","volume":"135","author":"Xu","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Meng, M., Zhao, P., Bai, M., and Wang, J. (2021, January 26\u201328). Fuzzy comprehensive evaluation of performance on urban water supply system. Proceedings of the 40th Chinese Control Conference, Shanghai, China.","DOI":"10.23919\/CCC52363.2021.9550032"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/16\/7139\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:32:18Z","timestamp":1760128338000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/16\/7139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,12]]},"references-count":27,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["s23167139"],"URL":"https:\/\/doi.org\/10.3390\/s23167139","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2023,8,12]]}}}