Research and Application of Intelligent Maintenance Methods for Bridges Based on Knowledge Graph

Intelligent bridge maintenance is an important means to improve the efficiency and level of bridge maintenance work. This article proposes a knowledge graph based intelligent bridge maintenance method to address the problems of traditional bridge maintenance methods, such as strong subjectivity, low accuracy, and difficulty in information sharing. Based on technologies such as NLP and keyword feature matching, knowledge content retrieval and interactive Q&A in the graph are achieved. Decision support for intelligent diagnosis of bridge disease causes is achieved using machine learning algorithms. Realize intelligent management and sharing of bridge maintenance information. This method not only improves the efficiency and accuracy of bridge maintenance work, but also enables big data analysis and application of bridge maintenance information, providing strong support for the long-term safe operation of bridges.