During my internship from May 2024 to August 2024 at Hubei State Grid Wuhan University of Technology Power Consulting Division, I had the opportunity to engage with cutting-edge technologies in digital grid solutions, intelligent energy, and extensive data operations. The company specializes in integrating digital technology into power grid solutions, providing intelligent energy, system integration, and comprehensive data analytics expertise. This internship allowed me to work on several impactful projects, significantly enhancing my technical and professional skills.
[Read More]Publication: Intelligent Power Grid Infrastructure Quality Detection Based on CBAM-ASFF-YOLOv4
Enhancing Power Grid Infrastructure Inspection with AI and Drones
In modern power grid infrastructure projects, ensuring the quality of construction is critical to maintaining safety and operational stability. Traditional manual inspections face significant challenges due to weather conditions, terrain, and the complexity of the environment. To address these challenges, intelligent detection methods utilizing drones and AI-based algorithms are gaining traction. This article presents a novel approach for grid infrastructure quality detection using CBAM-ASFF-YOLOv4, which integrates Adaptive Spatial Feature Fusion (ASFF) and Convolutional Block Attention Module (CBAM) with YOLOv4 to improve detection accuracy and speed.
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