基于改进粗糙熵的大坝服役性态推理
发布时间：2019-08-02 09:11
【摘要】：大坝监测多源效应量权重的确定对融合分析推理及识别大坝服役性态,进而实现大坝安全监控具有重要意义。大坝多源效应量评价系统具有随机性和不确定性特点,合理度量该系统的不确定性是实现大坝服役性态准确推理的前提。基于经典粗糙集理论,在阐述现有研究方法所不足的基础上,借鉴已有研究成果,提出了分别利用粗糙度和粗糙熵刻画大坝系统集合边界不确定性和知识不确定性,并将两者有机结合,构建大坝系统不确定性度量的改进粗糙熵模型。最后结合具体工程实例,实现了大坝监测多源效应量赋权及大坝服役性态合理推理,为大坝监测多源效应量融合分析及评价提供一种新思路。
[Abstract]:The determination of the weight of multi-source effect in dam monitoring is of great significance to the fusion analysis, reasoning and identification of dam service behavior, and then to the realization of dam safety monitoring. The multi-source effect evaluation system of dam has the characteristics of randomness and uncertainty. Reasonable measurement of the uncertainty of the system is the premise to realize the accurate reasoning of dam service state. Based on the classical rough set theory, on the basis of expounding the shortcomings of the existing research methods and referring to the existing research results, an improved rough entropy model for describing the boundary uncertainty and knowledge uncertainty of dam system set by using roughness and rough entropy is proposed, and the improved rough entropy model of dam system uncertainty measurement is constructed by combining the two organically. Finally, combined with a concrete engineering example, the weighting of multi-source effects in dam monitoring and the reasonable reasoning of dam service behavior are realized, which provides a new idea for the fusion analysis and evaluation of multi-source effects in dam monitoring.
【作者单位】： 新疆兵团勘测设计院(集团)有限责任公司石河子分公司;
【分类号】：TV698.1
，
本文编号：2522016
[Abstract]:The determination of the weight of multi-source effect in dam monitoring is of great significance to the fusion analysis, reasoning and identification of dam service behavior, and then to the realization of dam safety monitoring. The multi-source effect evaluation system of dam has the characteristics of randomness and uncertainty. Reasonable measurement of the uncertainty of the system is the premise to realize the accurate reasoning of dam service state. Based on the classical rough set theory, on the basis of expounding the shortcomings of the existing research methods and referring to the existing research results, an improved rough entropy model for describing the boundary uncertainty and knowledge uncertainty of dam system set by using roughness and rough entropy is proposed, and the improved rough entropy model of dam system uncertainty measurement is constructed by combining the two organically. Finally, combined with a concrete engineering example, the weighting of multi-source effects in dam monitoring and the reasonable reasoning of dam service behavior are realized, which provides a new idea for the fusion analysis and evaluation of multi-source effects in dam monitoring.
【作者单位】： 新疆兵团勘测设计院(集团)有限责任公司石河子分公司;
【分类号】：TV698.1
，
本文编号：2522016
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