To address the issues of poor scalability and low reusability in traditional dam safety monitoring information management systems

this paper proposes a virtual monitoring point construction method and data processing workflow

accompanied by a corresponding system implementation. By defining virtual point types

configuring associated points and computational rules

the system enables flexible integration and derivative calculation of monitoring data

supporting diverse analyses such as time-point extraction

characteristic value statistics

correlation analysis

and specialized processing. Through a unified storage mechanism and functional reuse between virtual and physical points

the system can significantly enhances the efficiency of data compilation and result visualization. Engineering applications demonstrate its effectiveness in scenarios including seepage flow summation

stress analysis

and rainfall statistics

thereby improve system versatility and scalability while provide an efficient and configurable solution for safety monitoring data analysis.