Intelligent Fire Rescue Based on Internet of Things and Virtual Reality

doi:10.16182/j.issn1004731x.joss.19-FZ0359

Abstract

Abstract: The integration of virtual reality, Internet of Things and artificial intelligence can provide intelligent WebVR interaction for fire rescue decision-making. However, it is necessary to solve the problems of data lightweight, real-time data transmission based on the Internet of Things, and visualization of fire scenario data on the web, and to build effective mechanisms and algorithms. This paper proposes an intelligent fire rescue (IVIFR) mechanism based on the integration of Internet of Things and Virtual Reality, gives a virtual intelligent fire rescue (VIFR) algorithm, and constructs a prototype system of intelligent fire rescue. The VIFR algorithm is compared with greedy algorithm and random algorithm in the success rate of rescuing trapped people. Experiments show that the rescue success rate of VIFR algorithm is higher than that of other three algorithms.

Key words: internet of thing, WebVR, fire rescue, IVIFR mechanism, VIFR algorithm

CLC Number:

TP391.4

Yan Fengting, Shi Zhicai, Su Qianmin, Dong Jing, Chen Jue, Shi Yunyu, Tang Xian. Intelligent Fire Rescue Based on Internet of Things and Virtual Reality[J]. Journal of System Simulation, 2019, 31(11): 2306-2322.

References

[1] Peng W, Feng C, Che A, et al.Bi-Objective Scheduling of Fire Engines for Fighting Forest Fires: New Optimization Approaches[J]. IEEE Transactions on Intelligent Transportation Systems (S1524-9050), 2017, 8(99): 1-12.
[2] Giebułtowicz J, Rużycka M, Wroczyński P, et al.Analysis of fire deaths in Poland and influence of smoke toxicity[J]. Forensic Science International (S0379-0738), 2017, 9(4): 77-87.
[3] Zare S, Hemmatjo R, Allahyari T, et al.Comparison of the effect of typical firefighting activities, live fire drills and rescue operations at height on firefighters‘ physiological responses and cognitive function[J]. Ergonomics (S0014-0139), 2018, 11(3): 1-26.
[4] Fei S, Zhang Z, Liao D, et al.A lightweight and cross-platform Web3D system for casting process based on virtual reality technology using WebGL[J]. International Journal of Advanced Manufacturing Technology (S0268-3768), 2015, 80(5/8): 801-816.
[5] Anderson B.Exodus[J]. Critical Inquiry (S0093-1896), 1994, 20(2):314.
[6] Liu X, Jia J.Mobile web-based lightweight and real-time roaming algorithm for large-scale WebBIM scenes[J]. Scientia Sinica (S0521-4638), 2018, 48(3): 274-292.
[7] Tschirschwitz R, Krentel D, Kluge M, et al.Mobile gas cylinders in fire: Consequences in case of failure[J]. Fire Safety Journal (S0379-7112), 2017, 91: 989-996.
[8] Chipara O, Griswold W G, Plymoth A N, et al.WIISARD: A measurement study of network properties and protocol reliability during an emergency response[C]. International Conference on Mobile Systems. New York, USA, Springer, 2012: 407-420.
[9] Goodwin M, Granmo O C, Radianti J.Escape planning in realistic fire scenarios with Ant Colony Optimisation[J]. Applied Intelligence (S0924-669X), 2015, 42(1): 24-35.
[10] Zhang Y C, Jing Y.A Study on the Fire IOT Development Strategy[J]. Procedia Engineering (S0268-3768), 2013, 52(6): 314-319.
[11] Muheden K, Erdem E, Vançin S.Design and implementation of the mobile fire alarm system using wireless sensor networks[C]. IEEE International Symposium on Computational Intelligence & Informatics. Budapest, Hungary: IEEE Xplore, 2017.
[12] Tschirschwitz R, Krentel D, Kluge M, et al.Mobile gas cylinders in fire: Consequences in case of failure[J]. Fire Safety Journal (S0379-7112), 2017, 91: 989-996.
[13] Atila U, Ortakci Y, Ozacar K, et al.SmartEscape: A Mobile Smart Individual Fire Evacuation System Based on 3D Spatial Model[J]. ISPRS International Journal of Geo-Information (S2220-9964), 2018, 7(6): 223-235.
[14] Moon S, Yoon S G, Park J H.A New Low-Cost Centralized MPPT Controller System for Multiply Distributed Photovoltaic Power Conditioning Modules[J]. IEEE Transactions on Smart Grid (S1949-3053), 2017, 6(6): 2649-2658.
[15] Zheng X, Cao Z, Wang J, et al.Interference Resilient Duty Cycling for Wireless Sensor Networks under Co-existing Environments[J]. IEEE Transactions on Communications (S0090-6778), 2017, 65(7): 1-14.
[16] Hu Y, Chen Z, Liu X, et al.WebTorrent based fine-grained P2P transmission of large-scale WebVR indoor scenes[C]. International Conference on 3d Web Technology. New York, USA, ACM, 2017.
[17] Boccia G, Dardanello D, Tarperi C, et al.Decrease of muscle fiber conduction velocity correlates with strength loss after an endurance run[J]. Physiological Measurement (S0967-3334), 2017, 38(2): 233.
[18] Li Y, Vodacek A, Zhu Y.An automatic statistical segmentation algorithm for extraction of fire and smoke regions[J]. Remote Sensing of Environment (S0034-4257), 2012, 108(2): 171-178.
[19] Olander J, Ronchi E, Lovreglio R, et al.Dissuasive exit signage for building fire evacuation[J]. Applied Ergonomics (S0003-6870), 2017, 59(Pt A): 84-93.