为了解决机场在进行智能化程度评价过程中基础业务流指标无法定量表达的问题，通过对比分析现有评价体系方法，采用面向过程的方法对智慧机场体系框架进行构建，搭建了基于逻辑-物理框架的智慧机场评价体系；在此基础上，对框架内的各个基础指标按定性指标和定量指标2个不同的类别进行了数学上的定义与定量描述。研究结果表明：面向过程的评价体系同样也适用于机场的智能化评价体系构建，且能够从逻辑框架到物理框架对智慧机场的各个业务流和子系统进行全面的反映。对基础指标根据其数学描述采用不同的分类量化有助于对机场的智慧化程度刻画更加精确和全面。对A机场基础指标的量化发现飞行区管理基础指标中百分比型指标占20%，数值型指标占34.3%，是否型指标占45.7%，陆侧交通管理基础指标中百分比型指标占13.3%，数值型指标占13.3%，是否型指标占73.4%，且各个指标能够展现具体的量化分值，说明提出的量化方法能够适用于机场全部业务流的量化处理。

To address the issue of the inability to quantitatively express the basic service flow index in evaluating the level of airport intelligence， this study proposes a logic-physical framework-based smart airport evaluation system. Through a comparison and analysis of existing evaluation methods， the process-oriented approach is adopted to construct a framework for smart airport systems. On this basis， each basic indicator within the framework is defined mathematically and described quantitatively according to two different categories of qualitative index and quantitative index. The results of the study show that the process-oriented evaluation system is also applicable to the construction of intelligent evaluation system for airports， and it can reflect the business flows and subsystems of intelligent airports comprehensively from the logical framework to the physical framework. The use of different categorical quantification methods for the underlying metrics based on their mathematical descriptions helps to portray a more accurate and comprehensive picture of the degree of intelligence in airports. The quantitative analysis of the basic indicators of A airport found that the basic indicators of flight area management account for 20% of percentage type indicator， 34.3% of numerical type indicator， 45.7% of yes or no type indicator， 13.3% of percentage type indicator， 13.3% of numerical type indicator and 73.4% of yes or no type indicator of the basic indicators of land side traffic management Each indicator can show the specific quantization score， indicating that the quantitative method proposed can be applied to the quantization processing of all airport traffic.