Abstract:

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.

Key words: aeronautical engineering, object-attribute bi-dimensionality, core business flows, evaluation of the degree of intelligence