Applying model-driven development to environment monitoring System

Tran Cao De
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Abstract

Environmental monitoring is critical in understanding whether the quality of our environment is getting better or worse. Information gathered by using an environmental monitoring system is important to make decisions. Vietnam is a vulnerable country of climate change. Specially, in the South of Vietnam, the Mekong delta is known as the region getting the most impact of sea level rise in Vietnam. That leads to a lot of problems making the worst effects to residents in the area, who are mainly still very poor. On the other hand, Vietnam is going on industrialization process that makes a strong effect on the environment. To deal with these challenges, different projects of environment management have been proposed and implemented and many monitoring systems have been built in those projects. Those systems are basically sensor networks with high cost in developing and maintaining. They are related to modern technology such as cloud, communication mobile and wireless. They provide the data for large community for different purposes. Therefore, building such a system is normally a long term project that requires an incremental and modular development for a complex system. This paper, on one hand, represents some common characteristics of an environment monitoring system that requires more study to develop a formal model and a methodology for their specifications, implementations and verification. On the other hand, we would like to adapt the formal model approach proposed for Intelligent Transport Systems (ITS) to an environmental monitoring system. The framework of Baobab is also introduced as an example for transformation from model to code.
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模型驱动开发在环境监测系统中的应用
环境监测对于了解我们的环境质量是变好还是变坏至关重要。利用环境监测系统收集的信息对决策很重要。越南是一个易受气候变化影响的国家。特别是在越南南部,湄公河三角洲被认为是越南受海平面上升影响最大的地区。这导致了许多问题,对该地区的居民造成了最严重的影响,他们主要仍然非常贫穷。另一方面,越南正在进行工业化进程,这对环境产生了很大的影响。为了应对这些挑战,已经提出和实施了不同的环境管理项目,并在这些项目中建立了许多监测系统。这些系统基本上是传感器网络,开发和维护成本很高。它们与云、通信、移动和无线等现代技术有关。它们为大型社区提供不同用途的数据。因此,构建这样的系统通常是一个长期项目,需要对复杂系统进行增量和模块化开发。一方面,本文描述了环境监测系统的一些共同特征,这些特征需要更多的研究来开发一个正式的模型和方法来规范、实现和验证。另一方面,我们希望将智能交通系统(ITS)的正式模型方法应用于环境监测系统。本文还以Baobab框架为例介绍了从模型到代码的转换。
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