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基于对象-属性双维度的民用机场核心业务流智慧化程度评价方法

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为解决机场在进行智慧化程度评价过程中由于建设内容体量庞大，业务错综复杂，无法做到业务流科学划分并有效评价的难题，本文从面向任务对象角度以及面向功能属性的角度建立了基于对象-属性双维度的机场核心业务流评价体系，并提出了90项基础指标。在此基础上，通过优劣解距法对禄口机场的双维度指标层进行了分值计算。研究结果表明:双维度评价指标体系的建立有助于厘清机场业务流种类多元且流向繁杂的问题，方便后续机场进行智慧化程度评价;从基于任务对象维度的指标层分值可以看出，旅客流的隔离区外智慧化建设程度最高为73。76分。以功能属性维度划分的各指标中，感知类的数量/重量指标评分最高为79。68分，高出平均值21。4%;预测类的时间类指标评分最高为80。26分，高出平均值9。1%;决策类的事件类指标评分最高为76。30分，高出平均值10。2%。预测类和决策类的相关指标智慧化建设程度相对均衡，而感知类指标最低分为54。36分，最高分为79。68分，各业务智慧化建设程度相差较大。
Evaluation method of intelligent degree of core business flow in civil airports based on object-attribute dual dimension
In order to solve the difficult problem of not being able to scientifically classify and effectively evaluate the business flow due to the huge construction content and complicated business during the evaluation of the degree of intelligence of airports,this study establishes the evaluation system of airport core business flow based on object-attribute double dimensions from the perspective of task object-oriented and functional attribute-oriented,and proposes 90 basic indicators.On this basis,the scores of the indicator layer of the two dimensions of Lukou Airport were calculated by the superior and inferior solution distance method.The research results show that:The establishment of the two-dimensional evaluation index system helps to clarify the problem of multiple types of business flows and complicated flows in smart airports,and facilitates the evaluation of the degree of smartness in subsequent airports;The index layer score based on the task object dimension shows that the degree of intelligent construction outside the segregated area for passenger flow is the highest at 73.76.In the evaluation of each indicator divided by functional attribute dimension,the quantity/weight indicator of the perception category has the highest rating of 79.68,21.4%higher than the average value;the time indicator of the prediction category has the highest rating of 80.26,9.1%higher than the average value;and the event indicator of the decision-making category has the highest rating of 76.30,10.2%higher than the average value.The degree of intelligent construction of the related indicators in the prediction and decision-making categories is relatively balanced,while the lowest score of the perception category indicator is 54.36 and the highest score is 79.68,and there is a big difference in the degree of intelligent construction of each business.

aeronautical engineeringobject-attribute bi-dimensionalitycore business flowsevaluation of the degree of intelligence

张锐、黄卫、马涛

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东南大学 智能运输系统(ITS)研究中心,南京 211189

综合交通运输理论交通运输行业重点实验室(南京现代综合交通实验室),南京 211100

东南大学 交通学院,南京 211189

航空工程 对象-属性双维度 核心业务流 智能化程度评价

国家重点研发计划国家自然科学基金综合交通运输理论交通运输行业重点实验室(南京现代综合交通实验室)开放基金

2020YFB160010242074039MTF2023013

2024

10.13229/j.cnki.jdxbgxb.20221262

吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子：0.792
ISSN：1671-5497
年,卷(期)：2024.54(5)
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