Research on Synchronous Digital Twin Modeling for Operation and Maintenance of Underground Utility Tunnel Power Cables

In response to the problems of real-time status monitoring, fault diagnosis, and maintenance decision making in the operation and maintenance process of power cables in underground utility tunnels, this paper proposes an operation and maintenance management method based on digital twin. The research constructs a multi-dimensional digital model that includes spatial geometry, electrical characteristics, along with operation and maintenance status. Additionally, an innovative status mapping mechanism based on the LSTM network and a blockchain-driven maintenance activity synchronization scheme are designed. The experiment verifies that this method has achieved the expected goals in terms of geometric modeling accuracy, status synchronization performance, and fault identification accuracy. The positioning accuracy of the cable centerline is better than $\pm 4.2 \mathrm{~mm}$, the average delay of status synchronization is less than 200 ms, and the accuracy rate of temperature anomaly identification reaches $\mathbf{9 6. 8 \%}$. The research results provide a new technical path for the intelligent operation and maintenance of power facilities in underground utility tunnels.