【摘要】 针对现有道面评价方法不能完全适用于自动化检测技术的问题，对目前机场道面自动化检测特征进行了分析，重新划分了水泥混凝土道面病害类型。根据我国32个机场的道面损坏数据统计结果，对现行道面评价规范中各病害的扣分值进行加权合并，确定了新病害类型的扣分值，在此基础上形成了机场水泥混凝土道面表观破损、隐蔽病害和综合损坏状况评价指标，并通过与道面状况指数（PCI）的对比分析和指标值分布特征确定了各指标的等级阈值。锡林浩特机场跑道区块道面损坏状况人工巡检和自动化检测结果评价指标对比表明，新构建的水泥混凝土道面损坏状况评价方法所得安全等级与PCI的评价等级一致。更多还原

【Abstract】 Aiming at the fact that the existing airport pavement evaluation methods are not fully applicable to automated detection technology, this paper analyzes the characteristics of current airport pavement automated detection and reclassifies the types of cement concrete pavement diseases. Based on pavement damage data from 32 airports in China, the deduction values for various diseases in the current pavement evaluation specifications are weighted and combined to obtain the deduction values for new disease types. On this basis, the evaluation indicators for the apparent damage, hidden disease, and comprehensive damage condition of airport cement concrete pavement are developed. By comparing and analyzing the measured values of PCI(pavement condition index) and the distribution characteristics of the index values, the grade thresholds of each index were determined. The comparison of the results of manual and automatic detection and evaluation of pavement damage in Xilinhot airport runway block shows that the safety grade obtained by the newly developed cement concrete pavement damage condition evaluation method is consistent with the evaluation grade of PCI.更多还原