Citation: Yinghao Xiao, Yuelei He, Hongyao Lu, Peng Ye. Research on Intelligent Management Method of Railway Engineering Operation and Maintenance Image Data Based on BIM+Machine Vision. Journal of Information Technologyin Civil Engineering and Architecture, 2022, 14(2): 41-48. doi: 10.16670/j.cnki.cn11-5823/tu.2022.02.06
2022, 14(2): 41-48. doi: 10.16670/j.cnki.cn11-5823/tu.2022.02.06
Research on Intelligent Management Method of Railway Engineering Operation and Maintenance Image Data Based on BIM+Machine Vision
School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China |
The Facility Management of professional public works facilities is an important part of railway operation. The traditional method is restricted by technical means, which is low in image data management, collection efficiencies, and lack of long-time storage standard, which will cause inconvenient during the indexing process. These gaps limit the further improvement regarding to the efficiencies and accuracies during the facility management.Focusing on the image data management during the operation process, based on BIM technology and machine vision technology, using mobile smart terminals as the carrier, this paper studies the intelligent management method of image data operation and maintenance. Based on machine vision technology, it achieves the recognition of facilities via images and the rapid classification of image data via the content of the images during collection. Based on BIM technology, BIM model for facility management are being established, which can associate facilities with the BIM model, and provide a visual platform for the classification and management of image data. Based on database technology, an image database of facilities is being established, and the database is being associated with the BIM model to achieve efficient retrieval and query of image data during operation and maintenance operations. Practical application shows that the image data management method of public works operation and maintenance proposed in this paper has high collection efficiency, reasonable classification rules, convenient retrieval and query in operation, which can effectively improves the efficiency and accuracy of public works operation and maintenance. In addition, this method has strong expansibility and is of great significance to the intelligent development of railway operation and maintenance.
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