## 5 Conclusions and Prospects  
Based on the characteristics of track bridges, such as large volume, narrow transverse width, large excitation, high safety level, and clear load response, this paper proposes for the first time a method to obtain temperature load and train load from the composite response data of track bridge through an adaptive filter separation monitoring system. Re-lying on the structural health monitoring system of the Chongqing Nanjimen track bridge to analyze the load effect of train and temperature effects, this paper obtains the following conclusions:  
1. The adaptive filtering load effect separation method proposed in this paper is both feasible and effective. Based on the characteristics of high frequency, large response, and periodicity of train load effect, a method for separating load effect is proposed. Through the signal separation of the composite structure response data obtained by the monitoring system, the respective effects of train load and temperature load at the same time are obtained, which provides scientific support for the state evaluation of the bridge and makes the evaluation results more accurate and reliable. 2. The measured values of the structural influence line of the vertical displacement of the main beam, the longitudinal displacement of the main tower, and the stress index of the main beam under the action of train load are compared with the theoretical influence line obtained by simulation, based on the train load effect analysis method of the influence line. The normalized cross-correlation (NCC) of the two indexes was found to be 0.9457, 0.9531, 0.8873, 0.9098, and 0.9101. This demonstrated a very high degree of fit, indicating that no significant anomalies were found in the bridge and verifying the direct evaluation of the structural state of the line affected by the train load. 3. The impact of ambient temperature on the cable-stayed bridge with a long-span track is profound, and there is a clear correlation between the response of each structural component. The temperature exhibits a strong negative correlation with the vertical displacement of the main beam, longitudinal displacement of the main tower (A0 side, P3 side, and P5 side), and Pearson correlation coefficient R \(<-0.7\) of the stay cable. Conversely, the longitudinal displacement of the main tower (P2 side), roof stress in the main beam span, and floor stress in the main beam span exhibit a strong positive correlation coefficient R > 0.7. It has been demonstrated that the structural state can be evaluated indirectly by temperature load correlation. Based on the bridge health monitoring system, the load effect analysis and evaluation of long-span track special bridge structure are studied to some extent, but there are still the following deficiencies:  
1. Comprehensive consideration of long-term effects: In addition to the load effect, the durability of the long-span track special cable-stayed bridge is also an important consideration. Therefore, in the future, a durability analysis will be carried out by mon  
Figure 23: Correlation between ambient temperature and floor stress in the middle span of the main beam (unit: MPa). itoring the corrosion and fatigue of bridge materials to ensure the long-term safe operation of the bridge. 2. Optimize the monitoring system: In the future, the combination of artificial intelligence and big data analysis technology with the establishment of a decision support system will facilitate more accurate real-time monitoring, analysis, and prediction of the load effect of long-span track special cable-stayed bridges. Through systematic data management and analysis, the efficiency and safety of bridge operation and maintenance will be enhanced. P.D. Conceptualization, methodology, software, investigation, and writing - original manuscript; X.L. Conceptualization, methodology, formal analysis, and writing - review, and editing; S.C. Resources, visualization, and supervision; X.H. Writing - original manuscript, verification, and investigation; X.C.