基于云平台的风电大数据系统搭建策略的研究

Wind Big Data System Based Oncloud Platform to Build Strategy Research

本文洋细介绍了基于云平台的风电大数据系统搭建策略，从风电生产数据的自身特点出发，采用成熟的商业hadoop系统加私有云计算平台的架构方式，平台开发基于J2EE技术路线，采用SOA、模块化和构件化架构。通过云平台可节省投资、实现快速部署，平台安全稳定不受物理设备存储计算容量的限制，可实现计算资源的快速横向扩展，为风电企业实现大数据平台建设提供了新的思路与想法。

Is introduced in detail in this paper, based on the cloud platform of large wind power system data structures, strategies, starting from the characteristics of wind power production data, the use of the mature commercial hadoop system and private cloud computing platform architecture, platform based on J2EE technology development route, adoption of SOA, modularity, and component-based architecture. Through the cloud platform can save investment, rapid deployment, security and stability of platform is not limited by physical device storage computing capacity, can realize the rapid and scale-out computing resources, for the wind power enterprise realizes the big data platform provides a new train of thought and ideas.