Research on evaluation and optimal selection of transmission line mechanized construction scheme based on data mining

Jiang Feng; Liu Zhengmao; Xiong Jianping; Shen Jialiang

doi:10.1117/12.3040348

28 August 2024 Research on evaluation and optimal selection of transmission line mechanized construction scheme based on data mining

Jiang Feng, Liu Zhengmao, Xiong Jianping, Shen Jialiang

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132513A (2024) https://doi.org/10.1117/12.3040348
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

Speeding up the construction of smart grid characterized by information, automation and interaction puts forward higher requirements for the construction of transmission line projects. Based on the 3D design model and data mining technology of transmission and transformation engineering, this paper collects, manages and analyzes the geographic information data of transmission lines such as high-precision Lidar and orthographic image, and realizes the design of transmission lines. Based on grid information model (GIM) and geographic information system (GIS), the approach scheme of transmission line mechanized construction under 3D simulation scenario is designed. At the same time, in order to select the optimal construction scheme and reduce the construction cost, the improved whale optimization algorithms-convolutional neural network (IWOA-CNN) model is adopted to improve the accuracy of engineering quantity prediction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiang Feng, Liu Zhengmao, Xiong Jianping, and Shen Jialiang "Research on evaluation and optimal selection of transmission line mechanized construction scheme based on data mining", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132513A (28 August 2024); https://doi.org/10.1117/12.3040348

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