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In order to solve the problem that the information was saturated and the identification effect was poor in the three-dimensional(3 D)real scene object identification of unattended substation,a 3 Dcollaborative identification model was proposed.The model uses a 3 Dlaser scanner to collect the spatial data of the substation,transforms the spatial data coordinates using the singular value decomposition algorithm,and completes the point cloud data registration by combining the iterative nearest point method to obtain the 3 Dreal scene of the substation.By using the improved collaborative recognition algorithm of prototype pattern reconstruction,the feedback timing and feedback sample selection criteria are redesigned to realize the collaborative recognition of 3 Dreal scene targets.The experimental results show that the model can accurately identify the equipment in unattended substation under the influence of various environmental factors,and avoid the problem of information saturation of prototype pattern reconstruction,and the recognition rate is effectively improved,which has a certain application prospect.
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Basic Information:
DOI:10.20040/j.cnki.1000-7709.2021.07.040
China Classification Code:TM63
Citation Information:
[1]GUO Zheng,WU Wu-qing,QIU Zhuo ,et al.Construction of Collaborative Identification Model for 3D Real Object of Unattended Substation[J].Water Resources and Power,2021,39(07):163-166+170.DOI:10.20040/j.cnki.1000-7709.2021.07.040.
Fund Information:
国家电网公司2020年科技项目(52182420000A)
2021-07-25
2021-07-25