基于关联熵与复合物元的地下管网健康度评估

Evaluate of urban underground pipe network health based on relational entropy and complex matter element

本文利用物元分析理论和信息熵理论对地下管网的健康度进行了定量的研究.首先在分析影响地下管网安全因素的基础上,建立了地下管网安全度评价体系.其次,通过第三方破坏因素和管网运营时间筛选出较易发生事故管段.再次,利用关联熵结合复合物元的方法,确定出了评价指标的权重,并在此基础上计算复合物元,针对地下管网健康度评价建立了综合评价模型.对地下管网健康度进行了量化分析.最后应实例验证了模型的有效性.结果表明复合物元模型计算过程简单、实用性强,能够简明确切地反映出地下管网的健康程度.

In this paper , the health condition of underground pipeline system was researched quantitatively, using the matter elementanalysis theory and the information entropy theory. Firstly ,an evaluating index system was established to assess the health conditionof underground pipeline system, based on the analysis results of the factors which can hurt the underground pipeline system. Secondly, the complex matter element model can be built to assess the health condition of the underground pipeline system, by combininginformation entropy、correlation functions and complex matter element. Then , complex matter elements were calculated withthe weight coefficients of factors which were given by the correlation entropy. At last, the validity of the model was tested by an example.The result shows that the model is both simple and practicable to reflect the health condition of underground pipe network.