基于隐马尔可夫模型的马尼拉道路洪水预测监测系统的开发

Melannie B. Mendoza, Renehl John C. Alejandro, Franz Nichol P. Cadao, Maecie Claire G. Rayo
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引用次数: 2

摘要

本文介绍了洪水预报系统的过程、方法及实验验证与验证。本设计项目的主要目标是使用隐马尔可夫模型开发一种预测洪水监测系统,一旦洪水水位达到车辆无法通过的一定范围,该系统将提供替代路线。此外,它将有一个本地数据库,接收压力传感器和雨量计发送的信息。雨量计的现值以及洪水和降雨的历史数据将是预测道路是否可以通过、不能通过轻型车辆和不能通过重型车辆的基础。它还将有一个移动应用程序,用于向公众通报洪水水位、降雨强度、道路状况和道路通过率。该系统被认为是一种更快地向有关当局和公众发出警报的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Manila Road Predictive Flood Monitoring System Using Hidden Markov Model
This paper describes the process, methods and experimental verification and validation of a flood forecasting system. The main objective of this design project is to develop a predictive flood monitoring system using the Hidden Markov Model that will provide an alternate route once the level of the flood reaches a certain range that is not passable to vehicles. Moreover, it will have a local database that will receive the information that will be sent by the pressure sensor and the rain gauge. The present value of the rain gauge and the historical data of flood and rain will be the basis of the prediction of the road as to whether it will be passable, not passable to light vehicles and not passable to heavy vehicles. It will also have a mobile application for public notifications of the flood level, rain intensity, road condition, and percentage of passability of the road. This system is deemed as a faster method of alerting relevant authorities and the public.
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