面向电网安全稳定的发电设备远程监测与诊断平台

Remote Monitoring and Diagnosis Platform of Power Generating Equipment for Power Grid Security and Stability

将发电企业的设备运行信息实时传输到电力科学研究单位的技术中心,可以及时组织专家力量开展发电设备的远程监测和诊断分析。提出了集团级发电设备远程监测与诊断平台建设的总体技术方案,系统功能包括数据集成、在线监测及诊断分析3个层次,通过加密和压缩实现了远程海量数据的传输,基于SOA标准搭建了分层构件化及应用模块化的系统架构,采用统一信息建模技术和数据适配接口解决了异构大数据的利用,并通过基于设备工作机理的软测量及诊断技术,以及实时数据智能挖掘技术等,实现了锅炉、汽轮机、发电机等设备的远程监测与诊断。示范工程应用表明:提出的总体技术方案和系统架构正确合理,有助于提高发电设备运行的安全性和稳定性。

The remote monitoring and diagnosing of power generating equipment can be carried out in time by experts through the real-time transmission of operation information from power generation enterprises to power research institutes. In this paper, the overall technical solution is presented for constructing a remote monitoring and diagnosis platform system for power generation equipment in the group company coverage. The system functions consist of data integration, online monitoring and diagnostic analysis. The mass remote data is transferred with encryption and compression technologies. The system architecture adopting hierarchical components and modularized applications is built based on the SOA standard, and the problem of using mass heterogeneous data is solved by a data adapter interlace built with the common information modeling technology. Therefore, the remote monitoring and diagnosis of power generating equipment such as boilers, turbines and generators, are accomplished through soft measurement and diagnosis technologies based on the working mechanism of the equipment and intelligent real-time data mining technologies. The application of the demonstration project indicates that the overall technical solution and the system architecture presented in this paper are correct and reasonable, and they are helpful in improving the security and stability of power grid operation.