Research on building method of integrated road network for indoor fire rescue

Fire Science and Technology ›› 2023, Vol. 42 ›› Issue (5): 689-693.

Previous Articles Next Articles

Research on building method of integrated road network for indoor fire rescue

Chen Weiwang1, Zhu Zhengliang1,2, Chen Qinpei3, Zhou Yong4

(1. Key Laboratory of Civil Aviation Ahermal Disaster Prevention, Control and Emergency Response, Academy of Scientific and Technological Innovation, Civil Aviation University of China, Tianjin 300300, China; 2. School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China; 3. Tianjin Fire Science and Technology Research Institute of MEM, Tianjin 300381, China; 4. State Key Laboratory of Fire Science, University of Science and Technology of China, Anhui Hefei 230001, China)

Online:2023-05-15 Published:2023-05-15

Abstract

Abstract: During the building fire emergency rescue, most of the paths generated are based on a single type of road network, and it is difficult to balance the accuracy of indoor global path planning and the speed of path finding. Therefore, a method of building an indoor integrated road network is proposed. The algorithm of generating topological road network and grid road network is implemented indoors, and the fusion algorithm and cross floor channel extraction are designed by ourselves to obtain a three-dimensional indoor road network. The path weight model is combined with the routing algorithm to find the optimal fire rescue path, and the quadratic path planning is designed. Finally, the method is used to extract the indoor road network of the experimental model and compared with the above two single road networks to verify the effectiveness of the road network extraction method.

Key words: fire rescue, generation of regional road network, integrated road network, path planning

Chen Weiwang, Zhu Zhengliang, Chen Qinpei, Zhou Yong. Research on building method of integrated road network for indoor fire rescue[J]. Fire Science and Technology, 2023, 42(5): 689-693.

[1]	Wang Huiying, Zhang Zhiqiang, Yang Chuanjie, Wang Zhaoqiang. Multi-target fire rescue mission planning of UAV swarm based on improved ABC algorithm [J]. Fire Science and Technology, 2023, 42(6): 838-842.
[2]	He Xinwei. Emergency communication for firefighting and rescue in large-scale disaster accidents reflection on construction tasks and safeguard measures [J]. Fire Science and Technology, 2023, 42(6): 848-850.
[3]	Gao Ningyu. Reflections and practices on the reform of the training system of fire and rescue teams in the new era [J]. Fire Science and Technology, 2023, 42(5): 589-593.
[4]	Li Jibao, Dong Tingting, Guan Siqi, Wan Zijing, . Research and application of fire rescue intelligence text summarization based on BERT [J]. Fire Science and Technology, 2023, 42(4): 585-588.
[5]	Ge Xuchao , Li Huaiyi, Xu Jianquan, Zhang Feng. Research on emergency communication support strategy of fire rescue team in severing earthquake and catastrophe in Plateau and alpine region [J]. Fire Science and Technology, 2023, 42(3): 411-415.
[6]	Lin Jun, Gao Zhengda. Fire fighting and rescue evacuation path planning method based on isolated forest algorithm [J]. Fire Science and Technology, 2023, 42(2): 275-279.
[7]	Cao Siqi, Sun Yumei, Song Zhigang, Zhang Jian. Evacuation route planning for traditional village buildings under fire [J]. Fire Science and Technology, 2023, 42(1): 69-74.
[8]	Zheng Wei , Xu Fang, Zhang Yanan , Guo Pengju. Research on the application of laser cutting technology in fire rescue and demolition [J]. Fire Science and Technology, 2023, 42(1): 89-93.
[9]	LI Sheng-yan, MA Hong-yan, DOU Jia-ming, YE Yong-xue. Research on the optimization algorithm of indoor fire emergency evacuation path for teaching buildings [J]. Fire Science and Technology, 2022, 41(8): 1066-1072.
[10]	LOU Yang, TAN Si-yu. Design of UAV virtual simulation training system for fire rescue [J]. Fire Science and Technology, 2022, 41(8): 1115-1118.
[11]	WANG Wan-fu, WANG Zhuo, LIU Jia-xin, LIU Lin, . Rescue path planning of forest and grass fire based on improved A* and inner spiral algorithm [J]. Fire Science and Technology, 2022, 41(8): 1138-1142.
[12]	ZHANG Shao-jian, MING Peng-peng. Discussion on the operation programming based on the reasonable deployment of fire rescue forces [J]. Fire Science and Technology, 2022, 41(8): 1151-1154.
[13]	LIU Chang, HE Chang-Yuan, JIN Xue-Sheng, LU Cheng. Design and implementation of editable fire scene electronic sand table system based on Unreal Engine [J]. Fire Science and Technology, 2022, 41(7): 959-963.
[14]	HU Ren-yuan, WANG Hui-hui, XIA Deng-you. Situation prediction based on petrochemical fire scenario deduction software [J]. Fire Science and Technology, 2022, 41(7): 970-973.
[15]	CHEN Li-xin. Practical exploration and thinking of the fire rescue team in flood fighting, emergency rescue and waterlogging drainage [J]. Fire Science and Technology, 2022, 41(7): 982-985.

Research on building method of integrated road network for indoor fire rescue

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments