# BOPVis: Bridge Monitoring Data Visualization for Operational Performance Mining
## 6 Conclusions  
This paper proposes BOPVis, a bridge monitoring data visualization system designed for operational performance mining. By integrating human cognitive abilities, which computers are not proficient at, into the data analysis process, BOPVis streamlines the analysis process and enhances the efficiency of analyzing large-scale, high-dimensional monitoring data. BOPVis enables users to intuitively locate sensors and extract corresponding data from a 3D digital model of the bridge. Users can examine trends over time using time-series plots and analyze correlations across hundreds of monitoring channels through flexible interactions. To demonstrate the advantages of BOPVis, a real-world suspension bridge in China is used as an example. Using BOPVis, the global temperature deformation behaviors of the bridge are explored and found to align with theoretical solutions.  
In future work, BOPVis will be enhanced with advanced features, including more sophisticated time-series forecasting models, such as Long Short-Term Memory (LSTM) networks, and the integration of weigh-in-motion (WIM) data for multi-source data fusion and predictive analytics. Additionally, BOPVis will be applied to other types of bridges, ad  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Items** & **Formula in [(29)]** & **BOPVis** \\ \hline Horizontal displacement of the west tower top (GPS 1-X) & 6.15 & 5.30 \\ Vertical displacement of the main cable at mid-span & \(-\)58.1 & \(-\)41.1 \\ (upstream side, GPS 2-Z) & \(-\)58.1 & \(-\)44.2 \\ Vertical displacement of the main cable at mid-span & \(-\)6.26 & \(-\)4.20 \\ (downstream side, GPS 3-Z) & \(-\)58.1 & \(-\)44.2 \\ Horizontal displacement of the east tower top (GPS 4-X) & \(-\)6.26 & \(-\)4.20 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Sensitivity coefficients of structural displacements regarding temperature (mm/\({}^{\circ}\)C).  
Figure 10: The scatter plot matrix showing the pairwise relationships between the structural displacements (GPSS-Y, GPS6-Y, GPS7-Y and GPS8-Y) and environmental actions (TS, TA, WS, and RH). The temperature change is not a dominant factor for the bridge lateral movements.  
dressing compatibility, data transmission protocols, and interoperability to ensure seamless integration into existing SHM systems.  
Conceptualization, X.W. and Y.Z.; methodology, X.W. and Y.Z.; software, Y.Q. and W.X.; validation, J.Y., Y.Q. and W.X.; formal analysis, Y.Z.; investigation, Z.Z. and J.Y.; resources, X.W. and Y.Z.; data curation, J.Y. and Y.Z.; writing--original draft preparation, X.W. and J.Y.; writing--review and editing, Z.Z. and Y.Z.; visualization, J.Y., Y.Q. and W.X.; supervision, X.W.; funding acquisition, X.W. and Y.Z. All authors have read and agreed to the published version of the manuscript.  
This work was supported by the National Natural Science Foundation of China (No. 52192662), the Humanities and Social Science Foundation of the Ministry of Education (No. 23 YJA760090) and the Fundamental Research Funds for the Central Universities (No. FRF-BR-23-03B).  
The data that support the findings of this study are available from the corresponding author upon reasonable request.  
We extend our gratitude to [PERSON], [PERSON], and [PERSON] from the University of Science and Technology Beijing, as well as CCCC Highway Consultants Co., Ltd., for their valuable contributions and support to this research.  
The authors declare no conflicts of interest.