基于大数据的风电生产运营监控系统的设计与实现

Wind Power Production Operation Monitoring System Design and Implementation Based on Big Data

随着风力发电机组装机规模不断扩大，风电企业对生产运营及设备管控提出了更高的要求。为更好的客观评价风电企业运营管控状况，各大运行商相继建立了风电生产运营监控中心实现对下辖风电企业进行精细化管理。传统的风电生产运营监控系统以实时数据库作为底层数据存储，以单台硬件作为系统后台计算资源。伴随着计算指标，尤其数据存储的增加，传统的数据存储架构已满足不了当前系统建设的需要。文章提出了基于大数据的风电生产运营监控系统设计架构，并在此基础上实现了风电生产运营监控、风电经营管控指标等功能。

With the larger scale of installed wind power operators, wind power enterprises of production operation and equipment control get higher requirements. To better control the objective evaluation of the wind power enterprises operation, the enterprise have set up wind power production operation monitoring center to administer wind power enterprises to carry out fine management. Traditionally, wind power production operation monitoring system in real time database as the underlying data store. With a single hardware as the system background computing resource and calculation index, especially the increase of data storage, the traditional data storage architecture has already can＇t satisfy the need of the construction of the current system. The article puts forward the wind power production operation monitoring system design based on big data structure, and on this basis to realize the wind power production operation monitoring, wind power management control indicators, and other functions.