中国安全科学学报

• 安全工程技术科学 • 上一篇    下一篇

多源信息融合的埋地管道健康评价方法

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  1. 哈尔滨工业大学机电工程学院,哈尔滨,150006
  • 出版日期:2009-11-20 发布日期:2009-11-25
  • 基金资助:
    国家自然科学基金(60772077)%黑龙江省留学回国基金(LC08C23)

Multi-source Information Fusion Approach for Buried Pipeline Health Condition Assessment

  • Online:2009-11-20 Published:2009-11-25

摘要: 埋地管道长期受多种复杂因素作用而出现腐蚀、裂纹等多种损伤,很难由管道内检测数据以解析模型描述和评价管道健康状况问题,笔者提出了一种基于Vague集的多源信息多级融合方法,充分利用层次间信息特征的冗余性和互补性进行管道健康状况评价.建立了多信息源多级融合模型,定义了基于Vague集的多源信息数学描述,给出了该方法的数据组织形式和算法实现过程,并将其应用于埋地供水管道健康评价体系,验证了该方法的有效性、合理性.

Abstract: It's hard to describe and evaluate the health condition of buried pipeline by means of analytical model because it is influenced by many hctom and manifest such as cracks,pits,tuberculation,etc.To take full advantage of the redundancy and complementarity of inter-level information,a multi-source and multi-level data fusion approach based on vague sets is proposed.The mathematical description of vague sets based multi-source information is defined and the corresponding model is developed.The data organization,the evaluation method and the implementation of the hierarchical algorithm are discussed.Finally,the proposed approach is applied to a lined cast pipeline health condition evaluation,and the result shows it is valid and reasonable.

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