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Study on point cloud splicing method of underground pipe gallery in power plants based on improved 3D-Harris operator
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Yu ZHONG1, Fan BAI1, Yong LIU1, Lei HUANG1, Xing YUAN1, Yubing ZHANG1, Jinhang ZHONG2
Thermal Power Generation | 2023, 52(1) : 89 - 97
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Thermal Power Generation | 2023, 52(1): 89-97
Power generation technology forum
Study on point cloud splicing method of underground pipe gallery in power plants based on improved 3D-Harris operator
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Yu ZHONG1, Fan BAI1, Yong LIU1, Lei HUANG1, Xing YUAN1, Yubing ZHANG1, Jinhang ZHONG2
Affiliations
  • 1.State Grid Jiangsu Electric Power Engineering Consulting Co., Ltd., Nanjing 210000, China
  • 2.College of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
Published: 2023-01-25 doi: 10.19666/j.rlfd.202205073
Outline
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In the point cloud splicing of underground pipe gallery in power plants, an improved algorithm with 3D-Harris operator about corner detection is proposed. In this algorithm, firstly, taking multiple sets of massive point cloud data of the underground pipe gallery as analysis object, the normal information of the target detection point on the adjacent point cloud microtangent plane is obtained through principal component analysis method, thus the boundary points of the point cloud are extracted. Secondly, the covariance matrix is constructed according to the normal information of the target detection point, then the corner response intensity function is calculated and compared, and some points are selected as calculation objects to judge whether they are true corner. Thirdly, the pseudo angles are filtered out and the true angles are selected by using a pseudoangle detection method based on Gaussian curvature extreme points. At last, the fast point feature histogram method is used to match similar corners between each group, and the nearest point search point cloud registration algorithm is used to realize the splicing of multiple points and cloud in the underground pipe gallery. The results are compared with that of the conventional 3D-Harris angular point detection algorithm. It is proved that the method in paper takes less time to calculate and has a higher corner-point extraction accuracy, which can realize accurate splicing of massive point cloud of underground pipe gallery.

underground pipe gallery of power plant  /  splicing of point cloud  /  massive point cloud data  /  corner detection  /  Harris operator
Yu ZHONG, Fan BAI, Yong LIU, Lei HUANG, Xing YUAN, Yubing ZHANG, Jinhang ZHONG. Study on point cloud splicing method of underground pipe gallery in power plants based on improved 3D-Harris operator[J]. Thermal Power Generation, 2023 , 52 (1) : 89 -97 . DOI: 10.19666/j.rlfd.202205073
  • Science and Technology Project of National Grid Jiangsu Electric Power Engineering Consulting Co., Ltd.(J2021007)
Year 2023 volume 52 Issue 1
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Article Info
doi: 10.19666/j.rlfd.202205073
  • Receive Date:2022-05-09
  • Online Date:2026-01-23
  • Published:2023-01-25
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  • Received:2022-05-09
Funding
Science and Technology Project of National Grid Jiangsu Electric Power Engineering Consulting Co., Ltd.(J2021007)
Affiliations
    1.State Grid Jiangsu Electric Power Engineering Consulting Co., Ltd., Nanjing 210000, China
    2.College of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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