Bridge health monitoring method and system based on K-means algorithm

The invention relates to a bridge health monitoring method and system based on a K-means algorithm. The method comprises the following steps: S1, acquiring data of each sensor on a bridge; S2, performing data preprocessing and data standardization; S3, setting a clustering parameter K value, dividing the standardized data into K groups, randomly selecting K objects as initial clustering centers, and setting convergence tolerance and the maximum number of iterations; S4, clustering is carried out by using a K-means algorithm; S5, judging whether the K value is the optimal K value or not, if yes, outputting the K value, and if not, returning to the step S3, and re-selecting the K value for clustering; and S6, storing the obtained optimal K value, then judging whether the K value is generated for the bridge for the first time in the bridge test, if so, ending the operation, otherwise, comparing the K value with the previously stored K value, judging that the bridge is not abnormal if the K value is equal to the