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点化属性圆分类方法与边坡稳定性状态分类研究 被引量:1

Research on method of point based attribute circle and classification of slope stability state
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摘要 为研究多个边坡稳定性情况的分类,提出点化属性圆的多范围属性分类方法。影响边坡稳定性的因素较多,而且这些因素很难使用一个值表示,但通常可方便地表示为具有范围的属性域,为适应该情况提出上述基于属性圆的方法。首先论述了属性圆的基本性质,然后论述了属性圆点化方法、推导过程及性质,最后给出了基于点化属性圆的多范围属性分类方法。使用该方法对十个边坡按照四个属性进行分类。结果表明当阈值为0.09时所有对象均被分类,其中边坡1、3、4、9、10为一组;边坡2、5、8为二组;边坡6、7为三组。最后论述了该方法的误差和影响。 To study the classification of multi-slope stability,this paper proposed a multi-range attribute classification method based on point based attribute circle.There were many factors that affected slope stability.Moreover,these factors were difficult to represent with a single value,and could be easily expressed as a range of attribute fields.It proposed the method to meet the situation.Firstly,it discussed the basic properties of attribute circle,and then discussed the method,derivation process and properties of point based attribute circle.Finally,it presented a multi-range attribute classification method based on the point based attribute circle.By using this method,it classified ten slopes according to their four attributes.The results show that all objects are classified when the threshold is 0.09.Among them,slope one,slope three,slope four,slope nine,slope ten are the first group.Slope two,slope five and slope eight are the second group.Slope six and slope seven are the third group.Finally,it discussed the error and influence of the method.
作者 赵东洋 崔铁军 宋子岭 Zhao Dongyang;Cui Tiejun;Song Ziling(College of Environment Science&Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China;College of Safety Science&Engineering,Liaoning Technical University,Fuxin Liaoning 123000,China)
出处 《计算机应用研究》 CSCD 北大核心 2021年第1期155-158,共4页 Application Research of Computers
基金 辽宁省教育厅一般资助项目(LJYL022) 国家自然基金(煤炭联合基金)重点资助项目(U1361211) 国家自然科学基金资助项目(52004120,51704141) 辽宁省教育厅项目(LJ2020QNL018) 国家重点研发计划资助项目(2017YFC1503102) 辽宁工程技术大学学科创新团队资助项目(LNTU20TD-31)。
关键词 安全系统工程 范围属性 点化属性圆 边坡稳定性 分类方法 safety system engineering range attribute point based attribute circle slope stability classification method
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