A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways
Informatization is an important trend in the field of mountain highway management, and the digital twin is an effective way to promote mountain highway information management due to the complex and diverse terrain of mountainous areas, the high complexity of mountainous road scene modeling and low v...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/12/10/424 |
| _version_ | 1797626689367310336 |
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| author | Ranran Tang Jun Zhu Ying Ren Yongzhe Ding Jianlin Wu Yukun Guo Yakun Xie |
| author_facet | Ranran Tang Jun Zhu Ying Ren Yongzhe Ding Jianlin Wu Yukun Guo Yakun Xie |
| author_sort | Ranran Tang |
| collection | DOAJ |
| description | Informatization is an important trend in the field of mountain highway management, and the digital twin is an effective way to promote mountain highway information management due to the complex and diverse terrain of mountainous areas, the high complexity of mountainous road scene modeling and low visualisation efficiency. It is challenging to construct the digital twin scenarios efficiently for mountain highways. To solve this problem, this article proposes a knowledge-guided fusion expression method for digital twin scenes of mountain highways. First, we explore the expression features and interrelationships of mountain highway scenes to establish the knowledge graph of mountain highway scenes. Second, by utilizing scene knowledge to construct spatial semantic constraint rules, we achieve efficient fusion modeling of basic geographic scenes and dynamic and static ancillary facilities, thereby reducing the complexity of scene modeling. Finally, a multi-level visualisation publishing scheme is established to improve the efficiency of scene visualisation. On this basis, a prototype system is developed, and case experimental analysis is conducted to validate the research. The results of the experiment indicate that the suggested method can accomplish the fusion modelling of mountain highway scenes through knowledge guidance and semantic constraints. Moreover, the construction time for the model fusion is less than 5.7 ms; meanwhile, the dynamic drawing efficiency of the scene is maintained above 60 FPS. Thus, the construction of twinned scenes can be achieved quickly and efficiently, the effect of replicating reality with virtuality is accomplished, and the informatisation management capacity of mountain highways is enhanced. |
| first_indexed | 2024-03-11T10:13:46Z |
| format | Article |
| id | doaj.art-60ff1055fe2440b5a79eb4e5e919ad67 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-11T10:13:46Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-60ff1055fe2440b5a79eb4e5e919ad672023-11-16T10:30:38ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-10-01121042410.3390/ijgi12100424A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain HighwaysRanran Tang0Jun Zhu1Ying Ren2Yongzhe Ding3Jianlin Wu4Yukun Guo5Yakun Xie6Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaInformatization is an important trend in the field of mountain highway management, and the digital twin is an effective way to promote mountain highway information management due to the complex and diverse terrain of mountainous areas, the high complexity of mountainous road scene modeling and low visualisation efficiency. It is challenging to construct the digital twin scenarios efficiently for mountain highways. To solve this problem, this article proposes a knowledge-guided fusion expression method for digital twin scenes of mountain highways. First, we explore the expression features and interrelationships of mountain highway scenes to establish the knowledge graph of mountain highway scenes. Second, by utilizing scene knowledge to construct spatial semantic constraint rules, we achieve efficient fusion modeling of basic geographic scenes and dynamic and static ancillary facilities, thereby reducing the complexity of scene modeling. Finally, a multi-level visualisation publishing scheme is established to improve the efficiency of scene visualisation. On this basis, a prototype system is developed, and case experimental analysis is conducted to validate the research. The results of the experiment indicate that the suggested method can accomplish the fusion modelling of mountain highway scenes through knowledge guidance and semantic constraints. Moreover, the construction time for the model fusion is less than 5.7 ms; meanwhile, the dynamic drawing efficiency of the scene is maintained above 60 FPS. Thus, the construction of twinned scenes can be achieved quickly and efficiently, the effect of replicating reality with virtuality is accomplished, and the informatisation management capacity of mountain highways is enhanced.https://www.mdpi.com/2220-9964/12/10/424mountain highwaydigital twin sceneknowledge graphspatial semantic constraintfusion expression |
| spellingShingle | Ranran Tang Jun Zhu Ying Ren Yongzhe Ding Jianlin Wu Yukun Guo Yakun Xie A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways ISPRS International Journal of Geo-Information mountain highway digital twin scene knowledge graph spatial semantic constraint fusion expression |
| title | A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways |
| title_full | A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways |
| title_fullStr | A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways |
| title_full_unstemmed | A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways |
| title_short | A Knowledge-Guided Fusion Visualisation Method of Digital Twin Scenes for Mountain Highways |
| title_sort | knowledge guided fusion visualisation method of digital twin scenes for mountain highways |
| topic | mountain highway digital twin scene knowledge graph spatial semantic constraint fusion expression |
| url | https://www.mdpi.com/2220-9964/12/10/424 |
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