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IDC安防巡检机器人网络监控告警系统设计

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IDC安防巡检机器人的网络监控系统拓扑结构复杂且存在盲区,以整体思路设计的告警系统可能导致机器人无法准确监测到所有的安全事件或异常情况.提出基于分布式Hadoop的IDC安防巡检机器人网络监控告警系统设计.引入HDFS体系结构及MapReduce任务处理技术,设计Hadoop高性能监控数据处理平台,降低运维成本;在该平台上设计IDC安防巡检机器人网络监控系统,对数据中心实施全面巡检;构建基于能量特征变换的无阈值告警算法,提取监控项数据中的能量、波动以及时间3种特征,在此基础上将随机森林算法融合到模型中,自动形成巡检软件设计并触发告警.实验结果表明:所提方法具有较高的告警准确率和效率,且能够有效降低IDC运维成本.
Design of Network Monitoring Alarm System for IDC Security Patrol Robot
As the network monitoring system topology of IDC security patrol robot is complex in structure with blind spots,its alarm system may cause the failure in accurately monitoring all security events or abnormalities.The design of IDC security patrol robot Network monitoring alarm system based on distributed Hadoop is proposed.The HDFS architecture and MapReduce task processing technology are introduced to design a Hadoop high-performance monitoring data processing platform for operation and maintenance cost reduction.The IDC security patrol robot Network monitoring system is designed on the platform to implement comprehensive patrol inspection on the data center.A threshold free alarm algorithm based on energy feature transformation is constructed to extract the three characteristics of energy,fluctuation and time in the monitoring item data.On this basis,the random forest algorithm is integrated into the model,automatically forming the patrol software design and trigger the alarm.The experimental results show that the proposed method has high alarm accuracy and efficiency and can effectively reduce IDC operation and maintenance costs.

hadoop platformIDCsecurity inspection robotmonitoring alarmenergy feature transformation extractionrandom forest

张晨、李志飞、陶熠昆、张淑兰

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雅砻江流域水电开发有限公司,四川成都 610051

浙江国自机器人技术股份有限公司,浙江 杭州 310053

Hadoop平台 IDC 安防巡检机器人 监控告警 能量特征变换提取 随机森林

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(6)