Pipeline navigation environment construction and path quality automatic evaluation method based on multi-physical field characteristics
By constructing a multiphysics pipeline simulation environment and a multi-objective energy functional, high-fidelity simulation and full-process automation of the pipeline autonomous navigation algorithm were achieved. This solved the problems of insufficient consistency of the simulation environment and coarse path risk assessment in the existing technology, and improved the operational safety and robustness of the autonomous navigation algorithm.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUZHOU UNIV
- Filing Date
- 2026-03-23
- Publication Date
- 2026-06-05
AI Technical Summary
The existing pipeline autonomous navigation simulation environment is not consistent with the actual physical conditions, the path risk assessment is crude, and the automation of training sample construction is low, making it difficult to meet the needs of autonomous navigation algorithm development and implementation in complex and heterogeneous pipeline scenarios.
A multiphysics pipeline simulation environment integrating geometric topology and fluid dynamics is constructed. A continuous wall barrier field and multi-objective energy functional are used to quantitatively evaluate the navigation path, and a five-level mass spectrum classification of the trajectory is achieved. A hierarchical scene generation strategy is combined to adapt to different training needs.
It improves the matching degree between the simulation environment and the actual working conditions, realizes the refined quantitative evaluation and automated annotation of the navigation path, and enhances the environmental adaptability and control robustness of the autonomous navigation algorithm in complex pipeline scenarios.
Smart Images

Figure CN122155426A_ABST