摘要
为了解决传统智能电网安全监测技术存在电网数据分散性较强问题,提出基于元模型控制的智能电网大数据安全监测技术。利用抽取元模型、转换元模型和加载元模型,提取、转换和加载数据。根据滑动窗口出现的异常滑动情况,判断数据是否异常,完成大数据安全监测。试验结果表明:检测结果与智能电网大数据的实际安全漏洞数量和误报数量一致,具有精准监测结果。所提方法具有理想的实用性,研究价值较高。
In order to solve the problem of strong power grid data dispersion in traditional smart grid security monitoring technology,a smart grid big data security monitoring technology based on meta-model control was proposed.The extraction meta-model,transformation meta-model and loading meta-model were used to extract,transform and load data.According to the abnormal sliding situation of the sliding window,determine whether the data was abnormal and complete the big data security monitoring.The test results show that the detection results are consistent with the actual number of security vulnerabilities and false positives of the smart grid big data,and have accurate monitoring results.Therefore,the proposed method has ideal practicability and high research value.
作者
李博
Li Bo(State Grid East Inner Mongolia Electric Power Supply Co.,Ltd.,Huhhot Nei Mongol 010020,China)
出处
《电气自动化》
2023年第4期112-114,118,共4页
Electrical Automation
基金
国网蒙东电力-数据中台数据管理能力提升-实施项目[蒙东电互联(2020)577号]。
关键词
元模型控制
智能电网
大数据集成
安全监测
转换元模型
加载元模型
meta-model control
smart grid
big data integration
safety monitoring
transformation meta-model
load meta-model
