Highway and bridge pavement engineering materials are facing great aging, depletion and disease pressure under the cross-impact of traffic load, climate and geological environment, etc. Therefore, real-time monitoring of pavement health is particularly important. In this paper, based on the fuzzy mathematical algorithm and multi-factor analysis, the road and bridge health monitoring data assessment method is explored. First, the hierarchical structure of road and bridge health comprehensive monitoring indexes was constructed by combing the literature and utilizing the hierarchical analysis method. Then, the indicators were weighted by combining the G1 method and DEMATEL method. Finally, the cloud model was used to conduct a fuzzy comprehensive evaluation of road and bridge health. The results of the example application show that the method of combining the G1 method and DEMATEL method for indicator assignment in this paper takes into account the causal relationship between each indicator, and the results of the comprehensive weighting are more scientific and effective, which is of practical significance for assessing the health status of road and bridge. In addition, the fuzzy comprehensive evaluation model based on the cloud model in this paper can make up for the shortcomings of the traditional evaluation of the road and bridge health status reflecting insufficiently, and the mean value of the fuzzy evaluation agreement ratio of each data set is greater than 0.87, and the fuzzy evaluation agreement ratio increases year by year with the passage of time. In addition, this paper explores the shortcomings of the methods used and provides directions for further improvement of the model.
