Journal of Tongji University(Natural Science), Volume. 53, Issue 7, 1047(2025)
Multi-Source Data Integration and Application of Airport Smart Runway System
Based on the existing concept and architecture of the smart runway, this paper addresses the challenge of managing the smart runway data flow. A systematic analysis of the data characteristics reveals that the data are massive, multi-source, heterogeneous, and multi-frequency. Based on this analysis, it proposes a multi-level data integration framework, a multi-platform physical structure, and a comprehensive data flow architecture for the smart runway. To support efficient and reliable data utilization, as well as classified and long-term data preservation, it develops detailed methods for data preprocessing and standardization. Additionally, it examines the characteristics of smart runway data storage, leading to the design of a corresponding multi-level storage architecture and appropriate storage strategies. The implementation of the proposed system at Rikaze Dingri Airport shows a reduction of over 95% in invalid data without any loss of effective information, achieving unified management and multi-source data sharing. This paper supports the enhanced capabilities of the smart runway, including real-time performance evaluation, advanced risk warning, and intelligent maintenance decision-making.
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LING Jianming, HOU Tianxin, LIU Shifu, TAO Zefeng, LI Peilin. Multi-Source Data Integration and Application of Airport Smart Runway System[J]. Journal of Tongji University(Natural Science), 2025, 53(7): 1047
Received: Dec. 1, 2023
Accepted: Aug. 26, 2025
Published Online: Aug. 26, 2025
The Author Email: LIU Shifu (sfliu@tongji.edu.cn)