风电场智能运维管控系统方案设计
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摘要
介绍了一种基于大数据的风电场智能运维管控系统设计方案以及该方案的软件架构、拓扑结构和涉及到的专业技术方向。首先,从软件架构上数据、平台、业务3个方面展开,描述了对数据、对平台、对业务相关的实现方法及要求,然后,针对拓扑结构,从风场侧、运维中心、远程终端3个方面展开介绍,最后,简单阐述了该方案实现所需的专业技术要求。基于该方案实现的风电场智能运维管控系统,已经实现并在集中监控、运维管理及预警等方面得到很好的应用。
A design scheme of intelligent operation and maintenance control system for wind farm based on large data was introduced,and the software architecture,topological structure and the technical direction involved in the scheme were introduced.The software architecture was developed from three aspects:data,platform and business.The implementation methods and requirements of data,platform and business were described.The topology structure was introduced from three aspects:wind field side,operation and maintenance center and remote terminal.Finally,the technical requirements for the implementation of the scheme were briefly described.Intelligent operation and maintenance control system of wind farm based on this scheme has been realized and has been well applied in centralized monitoring,operation and maintenance management and early warning.
A design scheme of intelligent operation and maintenance control system for wind farm based on large data was introduced,and the software architecture,topological structure and the technical direction involved in the scheme were introduced.The software architecture was developed from three aspects:data,platform and business.The implementation methods and requirements of data,platform and business were described.The topology structure was introduced from three aspects:wind field side,operation and maintenance center and remote terminal.Finally,the technical requirements for the implementation of the scheme were briefly described.Intelligent operation and maintenance control system of wind farm based on this scheme has been realized and has been well applied in centralized monitoring,operation and maintenance management and early warning.
引文
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[11]张彬.探索VPN网络监控管理系统的设计与应用实现[J].数字通信世界,2018(6):147-148.
[2]谢芳.基于互联网的大数据挖掘关键技术分析[J].信息记录材料,2018,(10):95-96.
[3]黄恒君,漆威.海量半结构化数据采集、存储及分析——基于实时空气质量数据处理的实践[J].统计研究,2014,31(5):10-16.
[4]杨骏,李永树,蔡国林.基于对象-关系-属性数据模型的空间半结构化数据存储管理研究[J].计算机应用研究,2007,24(6):55-57.
[5]郑丽伟.SAP系统内部权限控制之思考[J].中国科技投资,2018(20):237.
[6]周冰.海上风电机组智能故障预警系统研究[J].南方能源建设,2018(2):133-137.
[7]刘秀丽,徐小力.大型风力发电机组故障诊断专家系统[J].设备管理与维修,2018(13):10-12.
[8]万元,陈海波,黄孝恩.面向运行人员的风电场3D虚拟化仿真培训平台设计及实践[J].水电站机电技术,2016,39(8):64-67.
[9]李宏行,崔泳琳,吴丽华,等.基于B/S架构的设备全生命周期管理系统的设计及实现[J].中国医疗设备,2018(7):120-123,127.
[10]石睿,马风雷.基于数据挖掘技术的风电新能源大数据平台构建[J].吉林工程技术师范学院学报,2017,33(12):108-110.
[11]张彬.探索VPN网络监控管理系统的设计与应用实现[J].数字通信世界,2018(6):147-148.