基于大数据的智慧水电云平台研究

Research of Bigdata-driven Smart Hydropower Cloud Platform

为满足水电行业对信息化数据存储、计算和分析的巨大需求,研究与设计了基于大数据的智慧水电云平台。该平台接入多源数据,实现了多系统的数据共享;设计从数据到应用的全栈平台架构,提高了系统的可用性,减少了数据的冗余;基于智能算法对设备进行状态评估与故障诊断;基于微服务思想,开发应用系统,使得平台易于扩展。该架构可适用于所有水电厂、集控中心及生产管理单位,已在多个水电厂应用。

In order to meet the large-scale requirements of the hydropower industry for informatized data storage,calculation and analysis,a smart hydropower cloud platform based on big data is studied and designed.The platform is accessible to multi-sourced data and realize data sharing of multi-system.The design of a fullstack platform architecture from data to application improves the availability of the system and reduces the redundancy of data.The status evaluation and fault diagnosis of the equipment is carried out based on the intelligent algorithm.The application system is developed to make the platform easy to expand based on the idea of micro-services.This architecture is available to all hydropower plants,centralized control centers and production management organizations,and has been applied in multiple hydropower plants.