Paper
5 July 2024 Research on bridge review guideline algorithm based on vector method and collaborative filtering method
Shunsui Gong, Gang Zhang, Zhiwei Zhu, Pengcheng Fang
Author Affiliations +
Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843D (2024) https://doi.org/10.1117/12.3032807
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
In order to improve the efficiency of bridge inspection as well as the realization of information technology, a number of domestic companies have developed a bridge inspection software based on standard specifications, which can realize data standardization, management standardization, one-click report, etc., the inspection efficiency is greatly improved, and the inspection data also has a continuity. However, the current inspection software still has the problems of poor guidance, low degree of intelligence, etc. In the face of a large amount of inspection data, it can not be deeply mined and applied. Therefore, this paper is based on the vector method and collaborative filtering method, in-depth analysis of a large number of actual engineering inspection data, the construction of highway bridge review guideline algorithm model, access to the intelligent detection system, which can solve the problem of leakage and under-inspection. The following conclusions can be drawn: the adoption rate of the review guideline of the relevant diseases reaches more than 70%, which can better guide the inspectors to review the missed diseases; verified by the actual engineering data, the difference rate of the technical condition is within 10%, which indicates that the review guideline of the technical condition is more effective.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shunsui Gong, Gang Zhang, Zhiwei Zhu, and Pengcheng Fang "Research on bridge review guideline algorithm based on vector method and collaborative filtering method", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843D (5 July 2024); https://doi.org/10.1117/12.3032807
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KEYWORDS
Bridges

Inspection

Diseases and disorders

Tunable filters

Data modeling

Education and training

Algorithm development

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