With the trend of
transformation and upgrading of the engineering construction industry, the key
technologies and implementation method of intelligent operation and maintenance
of railway tunnels based on digital twins are proposed to address the problems of
low control efficiency, poor interpretability of health status evaluation, and
complex process of operation and maintenance decision-making
in the operation and maintenance of railway tunnel projects. The overall
framework of railway tunnel intelligent operation and maintenance is
established with digital twin as the driving core, which organizes the layers
of tunnel operation and maintenance data flow and application, clarifies the
main function and core value of digital twin in the system framework, and
conducts research on the information mapping mechanism between physical
entities and twin models and key technologies of intelligent operation and
maintenance. First, the data classification system and information storage and
expression methods in railway tunnel operation and maintenance are summarized,
and the mapping mechanism between dynamic perception data and digital twin data
in tunnel intelligent operation and maintenance is revealed. The key
technologies that need to be solved in intelligent operation and maintenance,
including intelligent perception of tunnel state, intelligent data analysis,
and auxiliary decision-making in operation and
maintenance, are analyzed. Based on the system framework, fusion mechanism and
key technologies, the implementation method of intelligent operation and
maintenance of tunnels is proposed. In addition, the reliability and
practicability of the technical framework are verified through the intelligent
operation and maintenance platform of railway tunnels. Furthermore, the
feasibility of the digital twin technology in improving the efficiency of
tunnel operation and maintenance management and the degree of intelligence is
preliminarily verified.
ZHAO Peng
,
MA Weibin
. Key Technologies and Implementation Method of Intelligent Operation and Maintenance of Railway Tunnels Based on Digital Twins[J]. Tunnel Construction, 2024
, 44(8)
: 1697
-1712
.
DOI: 10.3973/j.issn.2096-4498.2024.08.017
