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A new method for detecting jumper clearance of UHV tension tower based on three-dimensional space model is proposed. The overall spatial scanning model of UHV tensile tower is established by using 3D laser scanning data, and the principle of laser scanning modeling is described. The internal noise and environmental noise of the point cloud data detection system are removed by pre-processing, and the point cloud data set is carried out. Gauss smoothing filter, coordinate transformation and point cloud data mosaic, and output the file set of spatial point cloud data; the measured results of jumper detection may also contain gross errors, systematic errors and accidental errors, so the influence of various error factors must be eliminated before using detection data analysis. The experimental data show that the coordinate detection accuracy of the proposed method can be controlled at 1, and the overall distribution of detection residuals is within a reasonable range. The actual detection effect is better than the traditional detection method.