Volume 43 Issue 4
Apr.  2017
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LI Qinyong, SONG Jiangong, GAO Shiwei, et al. A loose-coupled mechanism of analysis model management for earthquake emergency response[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(4): 720-730. doi: 10.13700/j.bh.1001-5965.2016.0312(in Chinese)
Citation: LI Qinyong, SONG Jiangong, GAO Shiwei, et al. A loose-coupled mechanism of analysis model management for earthquake emergency response[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(4): 720-730. doi: 10.13700/j.bh.1001-5965.2016.0312(in Chinese)

A loose-coupled mechanism of analysis model management for earthquake emergency response

doi: 10.13700/j.bh.1001-5965.2016.0312
Funds:

National Natural Science Foundation of China 61300007

the Fundamental Research Funds for the Central Universities YWF-15-GJSYS-106

the Fundamental Research Funds for the Central Universities YWF-14-JSJXY-007

State Key Laboratory of Software Development Environment Free Exploration Fund SKLSDE-2015ZX-09

State Key Laboratory of Software Development Environment Free Exploration Fund SKLSDE-2014-ZX-06

More Information
  • Corresponding author: LYU Jianghua, E-mail:jhlv@nlsde.buaa.edu.cn
  • Received Date: 18 Apr 2016
  • Accepted Date: 14 Jul 2016
  • Publish Date: 20 Apr 2017
  • Because analysis models in earthquake emergency response system (EERS) have special characteristics, traditional model management methods in decision support system are not suitable well for the management requirement of analysis models. We propose a loose-coupled mechanism, called loose-coupled mechanism for model management (LC-MM), for earthquake emergency response. LC-MM is composed of three parts:1) an analysis resources modeling environment, which consists of 2 modeling languages, i.e., model description and control language (MDCL) and data source description and control language (DSDCL); 2) an Agent-based framework for analysis resources coordinating and interacting, which is divided into 4 layers and 3 Agent components, i.e., App_Context, Model_Invoker and Data_Channel; 3) a protocol for Agent-based components coordinating. The protocol changes the tight-coupled relationship between analysis models, data sources and tasks into a loose-coupled relationship through Agent components. Practical application shows that LC-MM can effectively cover up analysis resources' heterogeneity and improve the scalability, dynamic flexibility and flat-independency of EERS. The proposed mechanism can match the management requirement of analysis models in EERS.

     

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