Abstract:To address the lagging performance of traditional approaches for communication towers that are prone to tilt deformation and connection looseness in complex environments, a Unity3D-based method for digital twin model construction and operation and maintenance (O&M) visualization is proposed. A physical layer integrates multi-source micro-electro-mechanical systems (MEMS) sensors to collect vibration and tilt data, a data layer adopts an edge gateway and a Message Queuing Telemetry Transport (MQTT) publish-subscribe mechanism for real-time transmission, and an application layer builds a 3D model in Unity3D and implements data-driven synchronization and visual interaction through scripts. Meanwhile, operational modal analysis is introduced to extract natural frequencies, and a thresholding strategy based on frequency variation is used for anomaly alarming and visual prompts. Joint tests show that the end-to-end synchronization latency can be controlled within 200 ms under a typical same-city public network backhaul, the mean absolute error of tilt monitoring is 0.08°, and validation on the LUMO dataset indicates that the standard deviation of the estimated first-order natural frequency is 0.03 Hz. The system supports state perception and predictive O&M for communication towers, providing a basis for risk early warning, remote safety management, and O&M decision-making of communication infrastructure.
