Based on Hough voting method, the recognizing of substation equipment was achived by using 3Dcloud data obtained by laser scanner. Firstly,the equipment point cloud data was preprocessed to obtain appropriate experimental data, including point cloud simplifying and denoising by octree. Secondly, thenumber of votes of the mass center of the point cloud was got by Hough voting after obtaining DSM. Thirdlysimilarity degrees could be got by comparing the DSM with any model DSM in model set, and initial identification results could be obtained by comparing the above similarity degrees with the threshold. Lastly, the finaldentification result was got by Hough voting based on initial identification result. The actual test showed thatthis method could effectively avoid the lengthy searching process for all feature points, and could be effectivein recognizing of substation equipment in the situation of a larger points lacking. It turned out that this method was effective.