Light detection and ranging (LIDAR) scanning is a common method of substation scene modeling that extracts point clouds of electrical equipment from the point cloud scene of a substation. The extraction effect is limited by uncertainty regarding the noise level, nonuniform point cloud density, and the computational complexity. In this paper, we propose a point cloud extraction solution for electrical equipment models. First, a statistical analysis of substation ground elevation is performed to obtain the point clouds of devices at the feature height and remove large numbers of redundant underground point clouds. Second, based on the statistically derived power equipment feature heights, the point cloud data are sliced according to the featured elevation intervals. Based on voxelization, the point cloud slices are then clustered using horizontal hierarchical clustering. The clustering results at different elevation intervals are then reclustered using vertical hierarchical clustering. Finally, we use filters combined with the DBSCAN algorithm to perform fine segmentation on the point cloud data. The results show that our slice clustering approach reduces the computational burden involved in point cloud processing, and the comprehensive clustering strategy ensures the accuracy of the clustering results.INDEX TERMS clustering methods, point cloud segmentation, smart grid, substation modeling,
Affected by electric field generated in power transmission line, live worker on the high-voltage transmission line is in dangerous working environment. In this paper, posture perception, numerical simulation, and risk assessment are adopted to realize the deep fusion of physical trajectory and spatial virtual electric field distribution of live worker, and digital twin bodies of live worker in different live working scenarios are constructed. Firstly, posture trajectories and 3D model of living worker in typical operation conditions are captured and reconstructed by full-body inertial action capture technology and this technology use motion capture unit which include 3-aixs accelerometer/gyroscope/magnetic field sensors. The length of complex gap and body workspace under various live work scenes are also calculated. By static electrical field finite element (FE) numerical modeling, surface electrical field distributions of live worker under different posture trajectories are then calculated. Finally, interactive mechanism between ''body-information-physical environment-virtual environment'' is introduced, and potential risk of live worker is on-line assessed by live work guide rules. This work develops a new assessment and protection method for virtual training and field operations of high-voltage live worker. Which is of great significance for enhancing operation level and ensuring living workers' safety.
This paper has designed a new diamond computer evaluation method by the use of the diamond evaluation model, and the combination of VC programming technology, and the method has been introduced into the evaluation of regional tourism comprehensive competitiveness. In order to achieve the comprehensive evaluation function of new diamond model, we have designed new diamond comprehensive fuzzy evaluation model by using fuzzy evaluation function to, and have the developed computer evaluation system of regional tourism competitiveness by combining VC programming technology. The system uses the market, enterprises and infrastructure the three aspects of evaluation factors to score the tourism competitiveness, which has realized the evaluation of computer automation function. Competitiveness of regional tourism industry in Shandong, Yunnan and Gansu and other areas is respectively scored through the function, and the results indicate that the comprehensive evaluation score of Yunnan is the highest, and that of Gansu is the lowest.
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