Bridge state monitoring method based on decision tree model

Abstract

The invention discloses a bridge state monitoring method based on a decision tree model. The method comprises the steps: S1, obtaining historical state information of a bridge, and taking the historical state information of the bridge as a sample data set; S2, performing model training by using the sample data set to generate a decision tree model; S3, collecting real-time state information of the bridge; S4, performing classification judgment on the real-time state information of the bridge by using the decision tree model to obtain a classification result; and S5, grading the classification result to obtain a monitoring result of the bridge state. According to the bridge state monitoring method based on the decision tree model, the bridge state can be quickly classified, and an accurate and reliable bridge state monitoring result is obtained.

Description

technical field [0001] The invention relates to the field of bridge monitoring, in particular to a bridge state monitoring method based on a decision tree model. Background technique [0002] As a common traffic facility, bridges are often affected by the surrounding environment and bearing capacity, which in turn causes varying degrees of damage to the bridge structure. In order to make the bridge run normally and stably, it is often necessary to monitor the state of the bridge. [0003] At present, the monitoring of bridge status is mainly through processing and analyzing the data and signals collected by various sensors, and judging the health and working status of the bridge according to the analysis results, but the processing and analysis process generally takes a long time and at the same time There are often large deviations between the obtained analysis results and the actual results. Contents of the invention [0004] In view of this, the purpose of the present...

Images