首页> 外文期刊>Journal of the Chinese Institute of Environmental Engineering >DEVELOPMENT OF AN EVENT-BASED SYSTEM OBJECT (EBSO) DATA MODEL FOR INTEGRATION OF ENVIRONMENTAL DATA
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DEVELOPMENT OF AN EVENT-BASED SYSTEM OBJECT (EBSO) DATA MODEL FOR INTEGRATION OF ENVIRONMENTAL DATA

机译:基于事件的系统对象(EBSO)数据模型集成环境数据的开发

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摘要

Environmental problems are complex systemic problems, which can only be solved effectively with systems thinking. This means that, in the process of problem solving, information of the involving human-natural system's structure, attributes, behaviors, relations and their dynamic changes are required for systematical analysis and, solving. The current data models, such as relational data model, object-oriented data model, object-relational data model and object-event data model, can be used to organize certain data and are generally used by enterprise database system. However, they are not efficient and effective enough for collecting and integrating environmental data to generate the information mentioned above. In this study, a conceptual data model based on object-oriented thinking and systems thinking has been developed, which is more able to systematically collect and integrate environmental data. In this way, the data abstracting a system's discrete structure, attributes, behaviors, relations and also its dynamic events can be systematically organized by the event-based system object data model. Even the data distributed in different databases can be cooperatively generated and maintained by their corresponding organizations and effectively integrated and used for solving of environmental problems.
机译:环境问题是复杂的系统问题,只有通过系统思考才能有效解决。这意味着在解决问题的过程中,涉及人与自然系统的结构,属性,行为,关系及其动态变化的信息需要进行系统的分析和解决。当前的数据模型,例如关系数据模型,面向对象的数据模型,对象关系的数据模型和对象事件的数据模型,可以用于组织某些数据,并且通常由企业数据库系统使用。但是,它们对于收集和集成环境数据以生成上述信息的效率和有效性不足。在这项研究中,已经开发了一种基于面向对象的思维和系统思维的概念数据模型,它能够更系统地收集和整合环境数据。这样,可以通过基于事件的系统对象数据模型来系统组织抽象数据的离散结构,属性,行为,关系及其动态事件。即使分布在不同数据库中的数据也可以由其相应的组织合作生成和维护,并有效地集成并用于解决环境问题。

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