|
|||||
|
|
| 图像识别技术在BIM运维管理中的应用研究 | |
| 引用本文： | 赵俊清,边原,刘寅,王冬明. 图像识别技术在BIM运维管理中的应用研究[J]. 铁路计算机应用, 2021, 30(7): 76-79 |
| 作者姓名： | 赵俊清 边原 刘寅 王冬明 |
| 作者单位： | 中铁电气化局集团有限公司 设计研究院，北京 100166 |
| 基金项目： | 国家重点研发计划项目（2020YFF0304105） |
| 摘 要： | 针对当前铁路运维管理中利用BIM技术构建的运维管理平台,提出基于图像识别技术维护日常运维的应用方案:将图像识别技术和BIM技术结合应用到运维管理的信息化系统中,通过对比不同的识别技术,提出了应用YOLOV3更新设备状态信息的方法,以提高运维管理工作的效率和质量. |
| 关 键 词： | YOLO 图像识别 异物入侵 设备更新 公共安全 人流量识别 人物搜索 |
| 收稿时间： | 2021-03-31 |
Image recognition technology applied to BIM operation and maintenance management |
|
| Affiliation: | Design & Research Institute, China Railway Electrification Bureau(Group) Co. Ltd., Beijing 100166, China |
| Abstract: | Aiming at the operation and maintenance management platform constructed by BIM technology in current railway operation and maintenance management, this article put forward the application scheme of daily operation and maintenance based on image recognition technology. The combination of image recognition technology and BIM technology was applied to the information system of operation and maintenance management. By comparing different recognition technologies, the article proposed a method of updating equipment status information by using YOLO V3, so as to improve the efficiency and quality of operation and maintenance management. |
| Keywords: | |
| 点击此处可从《铁路计算机应用》浏览原始摘要信息 | |
| 点击此处可从《铁路计算机应用》下载免费的PDF全文 | |