| Autor: |
Xuefeng Zhao, Mengxuan Li, Zhe Sun, Yue Zhao, Yihao Gai, Jingjing Wang, Chun Huang, Lei Yu, Sicong Wang, Meng Zhang, Lingli Huang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Applied Sciences, Vol 12, Iss 14, p 7118 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2076-3417 |
| DOI: |
10.3390/app12147118 |
| Popis: |
Intelligent construction and management processes are essential to ensure the efficiency of planting and maintenance of landscapes in large-scale projects. Unfortunately, various challenges still exist for achieving such a vision. For instance, creating detailed models of various plants to precisely capture the spatiotemporal changes is challenging. Moreover, transmitting massive plant-related data in time for project coordination and remote maintenance is also difficult through traditional landscape management practices. Integrated use of building information modeling (BIM) and mixed reality (MR) techniques could help establish digital representations of various plants with semantic information. Such integration of BIM and MR offers instinctual interactions by blending the physical and digital worlds. This study proposed an intelligent construction and management framework through BIM and MR to (1) establish detailed models of various plants, (2) capture spatiotemporal changes of plants across four seasons for model updating, and (3) establish a real-time data transmission method for effective project coordination and remote maintenance of various plants. The authors used the Jinhu Park project in the Xiong’an New District of China as a case study to validate the proposed method. Results show that the proposed method could support the sustainable development of landscapes in real practice. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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