Abstract
Effective emergency response is crucial when accident happens. It is the core issue of current research on emergency rescue system (ERS) to find out the method to improve the success rate of timely emergency call access. This paper first introduces the present situation of the emergency rescue industry, on basis of which we will analyse the model of the ERS. Then from the viewpoint of improving the success rate of timely emergency call, this paper introduces an intelligent emergency call system model that takes advantages of intelligent network (IN). When emergency accidents occur, the highest level called terminal sometimes cannot timely respond to incoming communication. In this case, continued calling will automatically be transferred to the corresponding other terminals. This strategy improves the adaptability and real-time performance of ERS and the performance of the ERS behaviour control, has very good prospects in the field of emergency rescue.
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Duan, W., He, B.: Emergency response system for pollution accidents in chemical industrial parks, China. Int. J. Environ. Res. Public Health 12(7), 7868–7885 (2015)
Zhong, M.: Study in performance analysis of China urban emergency response system based on Petri net. Saf. Sci. 48(6), 755–762 (2010)
Wang, G.: Active in the construction of underground facilities, application of hedge effort to build the mine emergency rescue system for building mode. China Min. Mag. 19(10), 67–70 (2010)
Huang, Y.: Modeling and simulation method of the emergency response systems based on OODA. Knowl. Based Syst. 89, 527–540 (2015)
Sun, Q.: Research on the location model of emergency rescue facilities in the city disaster prevention. Appl. Mech. Mater. 744, 1745–1748 (2015)
Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., Jafari, R.: Enabling effective programming and flexible management of efficient body sensor network applications. IEEE Trans. Hum. Mach. Syst. 43(1), 115–133 (2013)
Fortino, G., Fatta, G., Pathan, M., Vasilakos, A.: Cloud-assisted body area networks: state-of-the-art and future challenges. Wireless Netw. 20(7), 1925–1938 (2014)
Fortino, G., Guerrieri, A., Bellifemine, F., Giannantonio, R.: SPINE2: developing BSN applications on heterogeneous sensor nodes. IEEE Int. Symp. Ind. Embed. Syst. 128–131 (2009)
Chou, H., Wang, Y., Chang, H.: Design intelligent wheelchair with ECG measurement and wireless transmission function. Technol. Health Care 24(s1), 345–355 (2015)
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Zhang, T., Li, L., Li, W., Mei, J. (2016). Analysis of the Intelligent Call System Based on the Emergency Rescue in China. In: Li, W., et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_45
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DOI: https://doi.org/10.1007/978-3-319-45940-0_45
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