动态oobn在水坝水管理中的应用

2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA) Pub Date : 2016-09-01 DOI:10.1109/ICKEA.2016.7803030

M. Flores, A. Nicholson, R. F. Ropero

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引用次数: 1

摘要

贝叶斯网络(BNs)是一种成熟的技术，广泛应用于需要确定性决策的复杂领域建模，如环境建模。面向对象网络(oobn)被提出通过结构化分解、抽象和封装来帮助管理建模的复杂性。oobn以前曾应用于集水区管理，但没有明确的空间模型。在本文中，我们提出了一种新的模式，可以捕捉连接水坝之间的空间关系，以及集水区在连续季节中的时间动态。在一个抽象的5号坝实例上进行了验证，并给出了两个典型实例的结果。

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Dynamic OOBNs applied to water management in dams

Bayesian networks (BNs) are a mature technology now widely used for modelling complex domains requiring decision making under certainty, such as environmental modelling. Object-oriented BNs (OOBNs) have been proposed to help manage the modelling complexity through structured decomposition, abstraction and encapsulation. OOBNs have been applied previously to water catchment management, but without explicit spatial modelling. In this paper, we present a novel schema that captures the spatial relationships between connected dams, as well as the temporal dynamics of the catchment over successive seasons. This is validated on an abstracted 5 dam example, with results presented for two representative cases.

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2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA)

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