Rough set is a kind of method thatcan do objective analysis of multi-index data without prior knowledge.In thispaper,the data of Nanjing Yangtze River Tunnel health monitoring system arereduced by using rough set method to delete redundant data,and the importancedegree and weight of index are calculated to evaluate the health of tunnelstructure.The results show that the reduction of the indexes of differentsegments is a1,a6,a11,which shows that the temperature,earth pressure andthe inner hoop reinforcement strain are important non-reducible indexes in themonitoring indexes,the importance degree a6＞a1＞A11.Temperatureaffects the monitoring data and structural deformation,and earth pressure isthe main stress of the tunnel.The tunnel health assessment values are mainlyconcentrated at 1.5,with little change,indicating that the tunnel is in astable state,in line with the actual situation.U4,U5 show small changes becausethe data is collected in July to September,when the Yangtze River water levelis high.%粗糙集是一种可以对多指标数据在不依靠先验知识下进行客观分析的方法.本文通过对粗糙集方法对南京长江隧道健康监测系统得到的数据进行约简删除冗余数据、计算重要度及指标权重,评价隧道结构健康.分析结果表明:不同管片的指标集约简后均为a1、a6、a11,表明在监测指标中温度、土压力、内侧环向钢筋应变为重要的不可约简的指标,重要度a6＞a1＞a11,温度影响监测数据及结构变形,土压力为隧道承受的主要应力.隧道健康评价值主要集中在1.5,变化较小,表明隧道处于稳定状态,与实际情况相符,U4,U5出现小幅度变动原因为数据采集于长江水位较高的7～9月.
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