Research on Digital Twin Technology to Optimize Underground Cable Network Management Strategy

This paper proposes an optimization strategy for underground cable network management based on digital twin technology. Firstly, the advanced digital twin modeling algorithm is used to model the underground cable network with high precision and realize the accurate mapping between the physical world and the virtual world. Secondly, Keil software algorithm is used to optimize the model to improve the computational efficiency and accuracy of the model. Through model simulation, the running state of underground cable is monitored and fault diagnosed in real time, and potential problems are found and located in time. Finally, according to the operation and maintenance management requirements, a complete set of underground cable network management optimization scheme is proposed to improve the operation efficiency and safety of underground cable network. Through the actual case verification, the strategy proposed in this paper has significant advantages in reducing operation and maintenance costs, improving fault handling efficiency, etc., and provides strong support for the intelligent management of underground cable network.