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作 者:李冰[1,2] 方俊[1,2] 石琦[1,2] LI Bing FANG Jun SHI Qi(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 210003,China NARI Technology Co.,Ltd.,Nanjing 210061 ,China)
机构地区:[1]南瑞集团公司(国网电力科学研究院),南京210003 [2]国电南瑞科技股份有限公司,南京210061
出 处:《自动化与仪表》2016年第11期16-18,23,共4页Automation & Instrumentation
摘 要:监控系统采集的数据点规模庞大,当发生事故时,传统的监控系统无法在短时间内根据一系列有内在关联的故障报警信息,给调度员提出合适的处理方案。该文提出了一种基于故障推理的决策支持设计方法,通过对故障发生时报警信息的甄别、分类、判断、排序,运用推理的方式,通过运用知识库信息进行灵活的分析,最终从事件池选取合理的方案,实现复杂的辅助决策功能。此方案的应用,极大地提高了监控系统的事故处理能力,并解决了传统辅助决策功能无法描述及实现复杂逻辑的应用场景的问题,增加了监控系统的可靠性。The sheer scale of data collection is huge in supervision and control system,when the accident occurred, traditional supervision and control system cannot provide an appropriate treatment scheme in a short time,which ac- cording to a series of internal fault alarm information. This paper presented a kind of decision-making design method based on fault inference which achieved complex function of auxiliary decision-making. Through the identification, classification,judgment and sorting of the alarm information,using the method of inference,the information repository, the flexible analysis,select the reasonable scheme from the event pool. The application of this program,greatly im- proved the supervision and control system of accident treatment ability,and to solve the traditional auxiliary decision- making cannot be described and application scenarios of complex logic problems,reliability of the supervision and control systemincrease.
关 键 词:多故障报警关联 智能推理 事件池 知识库 辅助决策
分 类 号:U231[交通运输工程—道路与铁道工程]
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