PDF
Full
Outline
The traditional urban lighting inspection method has many shortcomings, and the unmanned aerial vehicle inspection solution has been put into use in the fields of electricity, water conservancy, and urban monitoring and has achieved good results. Research on unmanned aerial vehicle intelligent inspection technology in the field of urban lighting, introducing technologies such as deep learning based urban road surface illumination collection and visual recognition based municipal infrastructure disease monitoring to achieve efficient and accurate inspection of urban road lighting facilities. In the data processing stage, fault detection and recognition are performed using a trained YOLOv5 deep convolutional neural network (CNN) model, combined with techniques such as adaptive anchor box computation and Mosaic data augmentation. The experimental results show that the system can effectively detect various types of defects in urban lighting and complement traditional inspection methods, accurately detecting potential faults in urban lighting facilities and providing data support for subsequent maintenance. This system provides an effective solution for the digital and intelligent management of future urban lighting facilities, and has great application prospects and promotion value.
PDF
308
162
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
