Abstract: 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.

Key words: dam safety monitoring, virtual monitoring point, data processing

摘要： 针对传统水库大坝安全监测信息管理系统定制开发中存在的功能扩展性差、复用性低等问题，提出一种虚拟测点构建方法及数据处理流程，并研发相应系统。通过定义虚拟测点类型、配置关联测点与计算规则，实现监测数据的灵活整合与衍生计算，支持时间点提取、特征值统计、关联计算及专业处理等多种分析方式。该系统采用虚拟测点与真实测点一体化存储与功能复用机制，有效提升数据整编效率与成果展示便捷性。工程实践表明，该方法可有效应用于渗流量汇总、应力分析、雨量统计等场景，增强系统通用性与可扩展性，为安全监测数据分析提供高效、可配置的解决方案。

关键词: 大坝安全监测, 虚拟测点, 数据处理