Maintenance Assistant Decision-Making Model of Civil Airport Cement Pavements Based on Data Mining

被引：0
|
作者：
Zhao H. [1 ]
Ma L. [1 ]
Tang L. [2 ]
Li M. [3 ]
Du H. [4 ]
机构：
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] China Airport Construction Group Co., Ltd., Beijing
[3] Hongqiao International Airport Inc., Shanghai Airport (Group) Co., Ltd., Shanghai
[4] Shanghai Tongke Transportation Technology Co., Ltd., Shanghai
来源：
Ma, Lukuan (malukuan5071@163.com) | 1676年 / Science Press卷 / 46期
关键词：
Civil airport cement concrete pavements; Data mining; Maintenance assistant decision-making; Management requirements; Pavement performance;
D O I：
10.11908/j.issn.0253-374x.2018.12.009
中图分类号：
学科分类号：
摘要：
To meet the requirements of intelligent maintenance assistant decision-making of airport cement pavements, 356 sets of valid data from 26 civil airports in China were selected. The correlation of pavement performance indexes was analyzed, and PCI, PCN, void condition and surface roughness were finally confirmed as the pavement performance variables. Considering management requirements of pavements, available funds, allowable delays, expected benefits and project safety were proposed, and their attribute levels were determined respectively. Besides, 8 kinds of common maintenance measures were also summarized. Subsequently, the maintenance decision-making tree by using the C5.0 algorithm of the data mining technology was trained to establish the maintenance assistant decision-making model. The evaluation and application of the established model were also conducted. The results show that the model is more accurate in forecasting. The results also show that the decision-making is reasonable and the engineering application of the model is more feasible. © 2018, Editorial Department of Journal of Tongji University. All right reserved.
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页码：1676 / 1682and1753
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