基于大数据的水电厂监控系统辅助决策功能研究与设计  

作　　者：李奇罡 

机构地区：[1]南方电网储能股份有限公司西部检修试验分公司,贵州兴义562400

出　　处：《科技创新与应用》2024年第36期130-134,共5页Technology Innovation and Application

摘　　要：随着电力数字化改革进程加速和设备不断的技术改造升级,水电厂监控系统接入的各类设备“三遥”数据不断增加。海量监控数据产生后若能够加以二次开发利用,将进一步发挥数字财产的价值。该文研究并设计基于大数据的水电厂监控系统辅助决策功能。通过对水电厂监控系统数据进行加工分析,实现设备的运行状态分析、状态预警、应急及事故处置辅助决策等,为水电厂监控系统功能建设及改造提供思路。With the acceleration of the power digitalization reform process and the continuous technological transformation and upgrading of equipment,the"three remote"data of various equipment connected to the hydropower plant monitoring system continues to increase.If the massive monitoring data can be developed and utilized again after being generated,the value of digital property will be further exerted.This paper studies and designs the decision-making auxiliary function of hydropower plant monitoring system based on big data.By processing and analyzing the data of the hydropower plant monitoring system,equipment operating status analysis,status early warning,emergency and accident handling auxiliary decision-making are realized,thus providing ideas for the functional construction and transformation of the hydropower plant monitoring system.

关 键 词：大数据 水电厂 监控系统 数据二次开发 辅助决策 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]