基于潜语义模型的电网信息作业实施方案风险评估方法
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摘要
电网企业级信息系统每次进行增量升级、消缺等作业时会严格按照实施方案进行,实施方案步骤不严谨、对风险的疏忽会带来巨大的安全隐患。针对现阶段人为对实施方案进行评估存在的管控力度不够、风险细节易疏漏等问题,提出基于潜语义模型的变更作业实施方案风险分析方法。试验证明了本文方法可有效发现电网信息作业实施过程中潜在的风险,可在电网实际信息作业中推广应用。
The power grid enterprise-level information system will be carried out in strict accordance with the implementation plan when performing incremental upgrades and eliminating shortages.The inadequate steps of the implementation program and the negligence of risk can bring great security risks.At present,the artificial evaluation of the implementation plan has insufficient control,risk details being easy to be omitted and other issues.In view of these problems,this paper proposes a risk analysis method for changing job implementation plan based on the latent semantic model.Experiments show that this method can effectively detect the potential risks in the implementation of power grid information operation,and can be popularized and applied in the actual IT job of power gird.
The power grid enterprise-level information system will be carried out in strict accordance with the implementation plan when performing incremental upgrades and eliminating shortages.The inadequate steps of the implementation program and the negligence of risk can bring great security risks.At present,the artificial evaluation of the implementation plan has insufficient control,risk details being easy to be omitted and other issues.In view of these problems,this paper proposes a risk analysis method for changing job implementation plan based on the latent semantic model.Experiments show that this method can effectively detect the potential risks in the implementation of power grid information operation,and can be popularized and applied in the actual IT job of power gird.
引文
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[8]广西电网公司.广西电网有限责任公司信息作业管理业务指导书[Z].南宁:广西电网公司,2017.
[9]Li C,Yang C,Jiang Q.The research on text clustering based on LDA joint model[J].Journal of Intelligent&Fuzzy Systems,2017,32(5):3655-3667.
[10]黄育,张鸿.基于潜语义主题加强的跨媒体检索算法[J].计算机应用,2017,37(4):1061-1064.
[11]Hu Y H,Chen Y L,Chou H L.Opinion mining from online hotel reviews-A text summarization approach[J].Information Processing&Management,2017,53(2):436-449.
[12]刘彼洋,孙锐,姬东鸿.基于矩阵分解和子模最大化的微博新闻摘要方法[J].计算机应用研究,2017,34(10):2892-2896.
[2]NASSIRTOUSSI A K,AGHABOZORGI S,WAH T Y,et al.Text mining for market prediction:A systematic review[J].Expert Systems with Applications,2014,41(16):7653-7670.
[3]WANG K,WU Q,MAO H,et al.Intelligent text mining based financial risk early warning system[C]//IEEE International Conference on 2nd Information Science and Control Engineering.Shanghai:China,2015.
[4]蒙杰,杨生举,施韶亭.基于文本挖掘的科研项目管理辅助决策系统研究与实现[J].计算机应用与软件,2016,33(9):24-26.
[5]Shu X,Wang J,Shen X,et al.Word segmentation in Chinese language processing[J].Statistics and its Interface,2017,10(2):165-173.
[6]韩冬煦,常宝宝.中文分词模型的领域适应性方法[J].计算机学报,2015,38(2):272-281.
[7]牛萍,黄德根.TF-IDF与规则相结合的中文关键词自动抽取研究[J].小型微型计算机系统,2016,37(4):711-715.
[8]广西电网公司.广西电网有限责任公司信息作业管理业务指导书[Z].南宁:广西电网公司,2017.
[9]Li C,Yang C,Jiang Q.The research on text clustering based on LDA joint model[J].Journal of Intelligent&Fuzzy Systems,2017,32(5):3655-3667.
[10]黄育,张鸿.基于潜语义主题加强的跨媒体检索算法[J].计算机应用,2017,37(4):1061-1064.
[11]Hu Y H,Chen Y L,Chou H L.Opinion mining from online hotel reviews-A text summarization approach[J].Information Processing&Management,2017,53(2):436-449.
[12]刘彼洋,孙锐,姬东鸿.基于矩阵分解和子模最大化的微博新闻摘要方法[J].计算机应用研究,2017,34(10):2892-2896.