基于蚁群算法的变电站视频监控联动方案优化设计
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陈天恒(1972-),男,学士,高级工程师,研究方向为电气自动化研究;E-mai: thchen@sina.com

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Optimization design of substation video monitoring system based on ant colony algorithm
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    摘要:

    为有效监视变电站现场运行及保护设备状态,实现监视设备的及时可优化调控,在人为干预的基础上,采用蚁群分析算法来建立变电站现场摄像头监视设备之间的联动监视逻辑,规划被监视对象的采集内容,编制多摄像头关联关系映射表。同时,该算法借助电网一次设备接线图形的拓扑连接关系和监视信号级别属性,实现以上数据分析和算法迭代,积累蚁群算法中的信息素浓度。依据视频监控系统监控命令,通过摄像头联动模型优化和仿真分析,被观察对象当前状态的最优可视效果可以快速且稳健地呈现。

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    In order to effectively monitor operation and protection equipment state, and timely realize the optimal control of monitoring equipment, based on human intervention, the ant colony algorithm is adopted to establish the logistic linkage, design the monitoring equipment collection content, compile the mapping table of the multi-camera relationship among several monitoring equipment in the substation. Meanwhile, by the data analysis and iterative algorithm process of the primary equipment topological connection and monitoring signal level attributes in the power grid, the pheromone is accumulated. By the monitor command of video surveillance system, the current monitoring equipment state is fast and steadily observed through the optimization and simulation of camera linkage model.

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陈天恒,杨晓静,王伟力,等.基于蚁群算法的变电站视频监控联动方案优化设计[J].电力系统保护与控制,2016,44(2):134-139.[CHEN Tianheng, YANG Xiaojing, WANG Weili, et al. Optimization design of substation video monitoring system based on ant colony algorithm[J]. Power System Protection and Control,2016,V44(2):134-139]

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  • 收稿日期:2015-07-03
  • 最后修改日期:2015-08-20
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  • 在线发布日期: 2016-01-12
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