Three-Dimensional Indoor Fire Evacuation Routing
Traditional indoor navigation algorithms generally only consider the geometrical information of indoor space. However, the environmental information and semantic parameters of a fire are also important for evacuation routing in the case of a fire. It is difficult for traditional indoor navigation al...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/10/558 |
| _version_ | 1797552706217312256 |
|---|---|
| author | Yan Zhou Yuling Pang Fen Chen Yeting Zhang |
| author_facet | Yan Zhou Yuling Pang Fen Chen Yeting Zhang |
| author_sort | Yan Zhou |
| collection | DOAJ |
| description | Traditional indoor navigation algorithms generally only consider the geometrical information of indoor space. However, the environmental information and semantic parameters of a fire are also important for evacuation routing in the case of a fire. It is difficult for traditional indoor navigation algorithms to dynamically find an indoor path when a fire develops. To address this problem, we developed a multi-semantic constrained three-dimensional (3D) indoor fire evacuation routing method that considers multi-dimensional indoor fire scene-related semantics, such as path accessibility, path recognition degree, and fire parameters. Our method enhances the navigation semantics of indoor space by extending the fire-related components of indoor model based on IndoorGML and integrating location semantics of IndoorLocationGML. We also propose quantifiable indoor fire-oriented routing semantics and establish a navigation cost function that evaluates semantic changes during a fire. We designed an indoor routing algorithm with multiple semantic constraints based on the A* algorithm. The indoor routing results were analyzed and compared in simulation experiments. The experimental results showed that the proposed model can remove unusable nodes and edges from the obtained navigation path and provides a safer and more effective evacuation route than traditional algorithms. |
| first_indexed | 2024-03-10T16:04:54Z |
| format | Article |
| id | doaj.art-a183ef968fb644238da7d889c9ed4375 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T16:04:54Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-a183ef968fb644238da7d889c9ed43752023-11-20T14:59:08ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-09-0191055810.3390/ijgi9100558Three-Dimensional Indoor Fire Evacuation RoutingYan Zhou0Yuling Pang1Fen Chen2Yeting Zhang3School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, ChinaTraditional indoor navigation algorithms generally only consider the geometrical information of indoor space. However, the environmental information and semantic parameters of a fire are also important for evacuation routing in the case of a fire. It is difficult for traditional indoor navigation algorithms to dynamically find an indoor path when a fire develops. To address this problem, we developed a multi-semantic constrained three-dimensional (3D) indoor fire evacuation routing method that considers multi-dimensional indoor fire scene-related semantics, such as path accessibility, path recognition degree, and fire parameters. Our method enhances the navigation semantics of indoor space by extending the fire-related components of indoor model based on IndoorGML and integrating location semantics of IndoorLocationGML. We also propose quantifiable indoor fire-oriented routing semantics and establish a navigation cost function that evaluates semantic changes during a fire. We designed an indoor routing algorithm with multiple semantic constraints based on the A* algorithm. The indoor routing results were analyzed and compared in simulation experiments. The experimental results showed that the proposed model can remove unusable nodes and edges from the obtained navigation path and provides a safer and more effective evacuation route than traditional algorithms.https://www.mdpi.com/2220-9964/9/10/558indoor routingemergency evacuationindoor 3D modelindoor navigationfire semantics |
| spellingShingle | Yan Zhou Yuling Pang Fen Chen Yeting Zhang Three-Dimensional Indoor Fire Evacuation Routing ISPRS International Journal of Geo-Information indoor routing emergency evacuation indoor 3D model indoor navigation fire semantics |
| title | Three-Dimensional Indoor Fire Evacuation Routing |
| title_full | Three-Dimensional Indoor Fire Evacuation Routing |
| title_fullStr | Three-Dimensional Indoor Fire Evacuation Routing |
| title_full_unstemmed | Three-Dimensional Indoor Fire Evacuation Routing |
| title_short | Three-Dimensional Indoor Fire Evacuation Routing |
| title_sort | three dimensional indoor fire evacuation routing |
| topic | indoor routing emergency evacuation indoor 3D model indoor navigation fire semantics |
| url | https://www.mdpi.com/2220-9964/9/10/558 |
| work_keys_str_mv | AT yanzhou threedimensionalindoorfireevacuationrouting AT yulingpang threedimensionalindoorfireevacuationrouting AT fenchen threedimensionalindoorfireevacuationrouting AT yetingzhang threedimensionalindoorfireevacuationrouting |