摘要
为解决风力发电系统分布不集中,各品牌的风力发电系统的监控设备不统一的问题,开发了一种基于B/S结构的风力发电监控系统;系统采用三层B/S软件架构思想,由客户端浏览器、Web服务器端以及数据库服务器组成;利用ASP.NET技术实现对风电现场的实时监控和利用小波神经网络实现对风机的故障诊断等功能;该监控系统具备跨平台运行能力,降低了监控系统对客户端的要求,对不同风电现场具有整合监控能力,同时该监控系统诊断功能能提高风机维护针对性,有效的减少维护时间。
In order to solve the dispersion of distribution and the monitoring equipments of different brands is not uniformed for the wind power generation system, this paper develops a monitoring system for wind power generation system based on B/S structure. Three-tier software framework needs to be adopted in this system, which is constituted by the client browser, web servers and database servers, while using ASP. NET technology to achieve the real--time monitoring for wind power system and using wavelet neural network to achieve fault diagnosis of wind turbine. The monitoring system includes a cross--platform capability, which reduces the monitoring system to the client＇s request, and the monitoring system has the integrated capabilities for different wind sites. Moreover, fans maintenance can be improved using the fault diagnosis function of the monitoring system, which reduces the maintenance time effectively.
出处
《计算机测量与控制》
2016年第1期105-107,共3页
Computer Measurement &Control
基金
国家自然科学基金资助项目(61364027)
