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Development of Disease Analysis Module Based on Highway Bridge Inspection and Evaluation System

Published: 14 March 2022 Publication History

Abstract

In order to meet the needs of inspectors in applying the bridge inspection and evaluation system for disease cause analysis, firstly analyze and evaluate the functions of the existing highway bridge inspection and evaluation system, and on this basis, the technical route to realize the development of bridge disease cause analysis and maintenance countermeasures module is formulated. Secondly, based on the MySQL database technology, a knowledge base system for the analysis of the causes of bridge diseases and maintenance countermeasures was constructed, and the database of the existing highway bridge inspection and evaluation system was improved. Finally, a Web terminal bridge disease cause analysis and maintenance countermeasure module was developed, which provides an assistant for inspectors with insufficient knowledge and experience in analyzing the cause of bridge disease. The automatic report generation function is improved, and the work quality and efficiency are improved. Improving the automation level of bridge disease analysis, it has laid the foundation for the research of intelligent diagnosis of bridge disease.

References

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AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 14 March 2022

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