大数据技术在水闸安全评价中的应用研究

Application research on big data technology of sluice safety evaluation

针对传统评价数据源单一、综合性和智能化不高的问题,在水闸安全评价相关理论、方法和应用经验的基础上,引入大数据理论与技术,协同应用多种水闸运行管理数据,设计水闸安全评估的大数据总体应用框架,并从基础数据库建设和应用分析模型库方面论述关键技术的实现。利用大数据技术,建立基于大数据的水闸安全评价与态势预测应用,具有很好的技术支撑和现实意义。

Aiming at the problem of single data source, less comprehensive and non-intelligent of traditional sluice safety evaluation methods, based on the relevant safety evaluation theories, methods and application experience, the article introduces big data theory and technology, together with multi sluice operation and management data, designs the big data application framework for sluice safety evaluation, describes key implementation technologies from database construction and intelligent analysis models. Using big data technology, it builds an application for sluice safety evaluation and situation prediction with big data, which has good technical support and practical value.