A loose-coupled mechanism of analysis model management for earthquake emergency response
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摘要:
由于面向地震应急响应系统(EERS)的研判模型有其自身特点,传统决策支持系统中模型管理方法并不能较好地满足其管理需求。提出一种面向地震应急响应的松耦合研判模型管理机制(LC-MM),包括3个部分:① 研判资源建模环境,由研判模型描述/控制语言(MDCL)和数据源描述/控制语言(DSDCL)组成;② 研判资源协同交互框架,该框架分为4层,主要包括应用环境上下文App_Context、模型调用者Model_Invoker和数据通道Data_Channel 3个Agent组件;③ 研判资源协同交互协议,该协议将研判任务、研判模型和数据源的紧耦合关系分解为上述Agent组件之间的协同交互关系。实际应用表明,LC-MM能够有效屏蔽研判资源的异构性,提高EERS的可扩展性、动态适应性以及平台无关性,能够较好地满足EERS中研判模型的管理需求。
Abstract: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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