面向变电站数字孪生的三维对象匹配方法研究OA

Significant discrepancies exist between as-built point clouds(from construction/operation)and as-de-signed BIM equipment 3D models(from design phase)in substation digital twins.These differences lead to incon-sistency in the quantity,location,and distribution of power equipment in different scenarios,further hindering the ef-fective application of BIM model in the digital twin context.Here,we propose a novel 3D object matching method based on a first-order distance-topology similarity index and adaptive spatial position correction.First,a first-order distance-topology compatibility index is constructed to better represent the location features of 3D objects;second,the similarity between 3D objects is calculated to identify and extract both precise and candidate matching pairs;third,a set of line-of-sight constraint equations is constructed to enable iterative self-correction of the spatial position for BIM models in the candidate matching pairs.We evaluated our method on 3D datasets from two complex substa-tions,and the overall accuracy reaches 97.92%for the first substation and 98.54%for the second.Experimental re-sults demonstrate that our method significantly outperforms state-of-the-art alternatives in accuracy and reliability for 3D object matching in complex substation digital twin scenarios.