关键词: 大坝, 信息模型, 数据标准, 可视化系统, 数据分析

Abstract: When engineers assess the risk of dams, they require a wide variety of information such as instrumentation data, historical records of incidents, previous risk assessment reports, construction records, dam geometry, geolocation information, etc. However, the majority of this information is typically found in disparate documents, as well as in institutional and/or personal knowledge. This dispersed way of storing dam related historical data does not help in integrated assessment, knowledge discovery in stored data or effective visualization of analyzed data. Without an integrated information repository, it can bedifficult for engineers to make risk-informed decisions efficiently. To improve the risk informed decision making process, advanced information modeling, analysis and visualization techniques have been successfully applied in building and facilities domains. In this paper, such best practices are overviewed and assessed for their applicability, benefits, and limitations for dam risk assessment. Specifically, we review best practices on information models, data standards, visualization systems, and data analytics from other domains and discuss how they may be leveraged for improving the risk assessment of dams. The best practices presented in this paper could have the potential to improve the existing dam risk management process by allowing engineers to review and exchange all necessary information in an integrated environment.

Key words: dam, information models, data standards, visualization systems, data analytics