Aiming at the problems of complex installation, high power supply and maintenance costs of existing transmission line wind deflection/galloping monitoring terminals, this paper proposes a wireless intelligent monitoring scheme based on spacer dampers: MEMS three-axis inertial sensors are embedded in the spacer dampers to obtain the three-directional vibration and torsional responses of the conductors; combined with the compressed sensing framework and the Orthogonal Matching Pursuit (OMP) reconstruction algorithm, the sparsity of data is utilized and a Gaussian random sensing matrix is adopted to realize the reconstruction of the full-line galloping curves. The simulation and experimental results show that: under the given span condition, the sparsity can be adaptively set with the sampling length; when the observation ratio is 10%–20%, high reconstruction accuracy can be achieved, which meets the online monitoring needs of long-span lines. This wireless intelligent spacer damper monitoring scheme provides an engineering feasible path for the real-time monitoring and reconstruction of transmission line wind deflection/galloping