摘要
随着水电厂电力监控系统信息化和自动化的进一步融合,生产区各种信息化设备和应用系统数量不断增加,其安全问题也愈加突出。为了加强水电厂电力监控系统的安全维护与管理,必须能够识别水电厂LCU的异常行为。基于对LCU异常行为的研究与分析,智能学习LCU正常行为,智能识别LCU异常行为。LCU异常行为识别提高了水电厂LCU系统信息安全管理效率和水平,从技术层面实现了安全评估自动化,对水电厂LCU系统信息安全建设具有一定的指导意义。
With the development of information technology in hydropower plant, the number of network equipment and application system is increasing, and the security management is becoming more and more serious. In order to maintain the security and management of the hydropower plant information system, it is necessary to be able to identify the abnormal behavior of LCU in hydropower plant. Based on the research and analysis of abnormal behavior of LCU, intelligent learning LCU normal behavior, intelligent recognition of abnormal behavior of LCU. LCU abnormal behavior recognition improves hydropower plant LCU system information security management efficiency and level, from the technical level to achieve the automation of safety assessment, has certain guiding significance to the construction of information security system of hydropower plant LCU.
出处
《自动化博览》
2017年第11期48-52,共5页
Automation Panorama1
关键词
水电厂LCU
异常行为特征
智能识别
智能学习
Hydropower plant
LCU
Abnormal behavior
Intelligent recognition
Intelligent learning
