Abstract：Research purposes: At present, the completion acceptance of high-speed railway mainly adopts manual on-site inspection, which has problems such as low efficiency, non intuitive acceptance archive data and difficulty in tracing. In view of the above problems, it is proposed to use high-precision 3D real scene to carry out the application of completion acceptance. The research mainly solves the bottleneck problem that a single real scene model cannot be directly applied to the project completion acceptance. Through data acquisition, 3D modeling, image fusion algorithm construction, visual software development and demonstration application of completion acceptance, the whole process of completion acceptance application of real scene 3D image fusion technology has been opened up. Research conclusions: (1) The research shows that the UAV original image projection and dynamic fusion in high-precision 3D scene can be achieved by using the model and image fusion algorithm with accurate internal and external orientation elements as the data source. (2) The image fusion method based on the real scene model can meet the needs of preliminary appearance, quantitative geometric measurement and analysis, special renovation investigation and application in the railway completion acceptance under the virtual three-dimensional environment. (3) In addition to the application of high-speed railway completion acceptance, the model image fusion method can be applied to the disease detection, flood control and external environment troubleshooting of the operation line during the skylight period.
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2022, Vol. 39 
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