Work

Fully Autonomous Inspection of Wind Turbine Blades Based on Drones and Artificial Intelligence

Year: 2023

Type: conference-paper

Abstract: The traditional manual inspection of fan blades is labor-intensive, time-consuming, and subjective, making it impossible to detect internal defects in the blades. Based on artificial intelligence technology and deep learning algorithm, the UAV carries edge computing terminals, high-definition cameras, thermal imagers and other equipment to study the UAV autonomous flight control algorithm and the dual light fusion multi type back mixed defect detection and positioning algorithm, and realizes the fast, efficient and intelligent detection of the internal and external defects of the fan blades in 15-30 minutes. The fully autonomous inspection of wind turbine blades based on drones and artificial intelligence can make up for the shortcomings of traditional methods, greatly improve inspection efficiency, and reduce potential safety accidents in wind farms.

Source: International Conference on Intelligent Sensing and Industrial Automation

DOI: 10.1145/3632314.3632348

Authors: Minmin Ma, Hao Liu, Yuxin Gao, Shun Li, Chenzhe Ma, Daiming Hu

Institution: PowerChina (China)

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funder: Ministry of Industry and Information Technology of the People's Republic of China