Lihua Sun, X. Bian, Zhenxing Kong, Chun Deng, Mu Hu, L. Luo, Qingqiang Meng
{"title":"Design and research of wind farm monitoring and information management system based web and distribute process technology","authors":"Lihua Sun, X. Bian, Zhenxing Kong, Chun Deng, Mu Hu, L. Luo, Qingqiang Meng","doi":"10.1109/iccsnt.2017.8343669","DOIUrl":null,"url":null,"abstract":"The current supervisory control and data acquisition(SCADA) system of wind farm has the problem of poor flexibility and weak integration in data access and the integrity of the data is susceptible to network and environmental factors. To solve the problem, I designed and researched SCADA system and wind farm data structure of wind farm and proposed a set of Web-based wind farm monitoring and information management system solution. I have introduced the key technologies of the system hardware and software basic architecture, fan data model establishment, data disconnection, distributed computing, multimedia access and so on. Through the system in a wind farm field deployment and operation, the various functions of the system were tested. The results show that the system has the ability to access different models of fans and external equipment data, the continuity and integrity of the data have been greatly protected, and the integrated management has effectively improved the operation and management efficiency of the wind field. The successful development and application of the system has a positive reference value for the further development of wind farm monitoring and management technology.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccsnt.2017.8343669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The current supervisory control and data acquisition(SCADA) system of wind farm has the problem of poor flexibility and weak integration in data access and the integrity of the data is susceptible to network and environmental factors. To solve the problem, I designed and researched SCADA system and wind farm data structure of wind farm and proposed a set of Web-based wind farm monitoring and information management system solution. I have introduced the key technologies of the system hardware and software basic architecture, fan data model establishment, data disconnection, distributed computing, multimedia access and so on. Through the system in a wind farm field deployment and operation, the various functions of the system were tested. The results show that the system has the ability to access different models of fans and external equipment data, the continuity and integrity of the data have been greatly protected, and the integrated management has effectively improved the operation and management efficiency of the wind field. The successful development and application of the system has a positive reference value for the further development of wind farm monitoring and management technology.
现有的风电场SCADA (supervisory control and data acquisition)系统在数据访问方面存在灵活性差、集成度弱的问题,数据的完整性容易受到网络和环境因素的影响。针对这一问题,我对风电场的SCADA系统和风电场数据结构进行了设计和研究,提出了一套基于web的风电场监测与信息管理系统解决方案。介绍了系统软硬件基本架构、风扇数据模型建立、数据断开、分布式计算、多媒体接入等关键技术。通过系统在某风电场现场的部署和运行,对系统的各项功能进行了测试。结果表明,该系统具有访问不同型号风机和外部设备数据的能力,数据的连续性和完整性得到了极大的保障,一体化管理有效提高了风场运行管理效率。该系统的成功开发和应用对风电场监测管理技术的进一步发展具有积极的参考价值。