Intelligent Fire Information System Based on 3D GIS

被引：0

作者：

Hu J. ^{[1
]}

Lv Z. ^{[2
]}

Yuan D. ^{[1
]}

He B. ^{[1
]}

Yan D. ^{[3
]}

机构：

[1] Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen

[2] Department of Game Design, Faculty of Arts, Uppsala University

[3] Jilin Unicom Communication Co., Ltd.

来源：

Virtual Reality and Intelligent Hardware | 2023年 / 5卷 / 02期

关键词：

Internet of Things; Optimal Evacuation Routes; Rescue Vehicle Scheduling; Smart Fire Protection Information System;

D O I：

10.1016/j.vrih.2022.07.002

中图分类号：

学科分类号：

摘要：

This work aims to build a comprehensive and effective fire emergency management system based on the Internet of Things (IoT) and achieve an actual intelligent fire rescue. A smart fire protection information system was designed based on the IoT. A detailed analysis was conducted on the problem of rescue vehicle scheduling and the evacuation of trapped persons in the process of fire rescue. The intelligent fire visualization platform based on the three-dimensional (3D) Geographic Information Science (GIS) covers project overview, equipment status, equipment classification, equipment alarm information, alarm classification, alarm statistics, equipment account information, and other modules. The live video accessed through the visual interface can clearly identify the stage of the fire, which facilitates the arrangement of rescue equipment and personnel. The vehicle scheduling model in the system primarily used two objective functions to solve the Pareto Non-Dominated Solution Set Optimization: emergency rescue time and the number of vehicles. In addition, an evacuation path optimization method based on the Improved Ant Colony (IAC) algorithm was designed to realize the dynamic optimization of building fire evacuation paths. The experimental results indicate that all the values of detection signals were significantly larger in the smoldering fire scene at t = 17s than the initial value. In addition, the probability of smoldering fire and the probability of open fire were relatively large according to the probability function of the corresponding fire situation, demonstrating that this model could detect fire. The IAC algorithm reported here avoided the passages near the fire and spreading areas as much as possible and took the safety of the trapped persons as the premise when planning the evacuation route. Therefore, the IoT-based fire information system has important value for ensuring fire safety and carrying out emergency rescue and is worthy of popularization and application. © 2022 Beijing Zhongke Journal Publishing Co. Ltd

引用

页码：93 / 109

页数：16

共 42 条

[1]

Mu X., Zhou X., Wang W., Et al., Design of compressible flame retardant grafted porous organic polymer based separator with high fire safety and good electrochemical properties, Chemical Engineering Journal, 405, (2021)

[2]

Li L., Shao X., Zhao Z., Et al., Synergistic fire hazard effect of a multifunctional flame retardant in building insulation expandable polystyrene through a simple surface-coating method, Acs Omega, 5, 1, pp. 799-807, (2020)

[3]

Xu W., Yan H., Wang G., Et al., A silica-coated metal-organic framework/graphite-carbon hybrid for improved fire safety of epoxy resins, Materials Chemistry and Physics, 258, (2021)

[4]

Guowei Z., Su Y., Guoqing Z., Et al., Smart firefighting construction in China: Status, problems, and reflections, Fire and materials, 44, 4, pp. 479-486, (2020)

[5]

Ning H., Li Y., Shi F., Et al., Heterogeneous edge computing open platforms and tools for internet of things, Future Generation Computer Systems, 106, pp. 67-76, (2020)

[6]

Meena S.R., Albrecht F., Holbling D., Et al., Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal, Natural Hazards and Earth System Sciences, 21, 1, pp. 301-316, (2021)

[7]

Sungheetha A., Sharma R., Real time monitoring and fire detection using internet of things and cloud based drones, Journal of Soft Computing Paradigm (JSCP), 2, 3, pp. 168-174, (2020)

[8]

Yahyaoui A., Abdellatif T., Yangui S., Et al., READ-IoT: Reliable event and anomaly detection framework for the Internet of Things, IEEE Access, 9, pp. 24168-24186, (2021)

[9]

Badshah A., Ghani A., Qureshi M.A., Et al., Smart security framework for educational institutions using internet of things (IoT), Comput. Mater. Contin, 61, pp. 81-101, (2019)

[10]

Jo B.W., Khan R.M.A., Javaid O., Arduino-based intelligent gases monitoring and information sharing Internet-of-Things system for underground coal mines, Journal of Ambient Intelligence and Smart Environments, 11, 2, pp. 183-194, (2019)

← 1 2 3 4 5 →