Research on SaaS-Based Mine Emergency Rescue Preplan and Case Management System

  • Shancheng TangEmail author
  • Bin Wang
  • Xinguan Dai
  • Yunyue Bai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 555)


The existing emergency rescue plan and case management systems face the following problems: The relevant systems are maintained by different rescue brigades, but staff in those bridges have limited professional skills to conduct maintenance; the systems are independent to each other, and the data interface is not exactly consistent with the National Safety Supervision Bureau, so that the bureau and provincial rescue centers cannot master the national rescue information timely and accurately. In addition, the rescue brigades cannot share the rescue preplan and cases to reduce the maintenance cost. In this paper, leveraged by the concept of Software as a Service (SaaS), we propose a mine emergency rescue preplan and case management system to realize national-, provincial-, and brigade-level rescue planning and case management, unified interface, entirely shared resources, and reduced maintenance costs. The system test results verify that this proposed platform can easily support all the concurrent national emergency rescue management units/users. The proposed system leveraged by SaaS is 3 times faster than the traditional Java EE-based system: 90% of transactions in the newly proposed system are finished in 650 ms and 50% of those transactions are finished in 32 ms.


Emergency rescue preplan and case management Saas Service-oriented architecture 



This article is sponsored by “Scientific Research Program Funded by Shaanxi Provincial Education Commission (Program NO. 2013JK1079),” “Scientific Research Program Funded by Shaanxi Provincial Education Commission (Program NO. 16JK1501),” “Shaanxi Province Science and Technology Innovation Project (2015KTCQ03-10),” “Xi’an City Research Collaborative Innovation Program (CXY1519 (5)),” and “Xi’an Beilin District Science and Technology Project (Gx1601).”


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Shancheng Tang
    • 1
    Email author
  • Bin Wang
    • 1
  • Xinguan Dai
    • 1
  • Yunyue Bai
    • 1
  1. 1.Communication and Information InstituteXi’an University of Science and TechnologyXi’anChina

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