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智能港口:基于FIWARE的海港传感器数据监测平台。

SmartPort: A Platform for Sensor Data Monitoring in a Seaport Based on FIWARE.

作者信息

Fernández Pablo, Santana José Miguel, Ortega Sebastián, Trujillo Agustín, Suárez José Pablo, Domínguez Conrado, Santana Jaisiel, Sánchez Alejandro

机构信息

IUMA Information and Communications System, Division of Mathematics, Graphics and Computation (MAGiC), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain.

Imaging Technology Center (CTIM), University of Las Palmas de Gran Canaria, Canary Islands 35017, Spain.

出版信息

Sensors (Basel). 2016 Mar 22;16(3):417. doi: 10.3390/s16030417.

DOI:10.3390/s16030417
PMID:27011192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4813992/
Abstract

Seaport monitoring and management is a significant research area, in which infrastructure automatically collects big data sets that lead the organization in its multiple activities. Thus, this problem is heavily related to the fields of data acquisition, transfer, storage, big data analysis and information visualization. Las Palmas de Gran Canaria port is a good example of how a seaport generates big data volumes through a network of sensors. They are placed on meteorological stations and maritime buoys, registering environmental parameters. Likewise, the Automatic Identification System (AIS) registers several dynamic parameters about the tracked vessels. However, such an amount of data is useless without a system that enables a meaningful visualization and helps make decisions. In this work, we present SmartPort, a platform that offers a distributed architecture for the collection of the port sensors' data and a rich Internet application that allows the user to explore the geolocated data. The presented SmartPort tool is a representative, promising and inspiring approach to manage and develop a smart system. It covers a demanding need for big data analysis and visualization utilities for managing complex infrastructures, such as a seaport.

摘要

海港监测与管理是一个重要的研究领域,在该领域中,基础设施会自动收集大数据集,这些数据集可引导组织开展多项活动。因此,这个问题与数据采集、传输、存储、大数据分析和信息可视化等领域密切相关。大加那利岛拉斯帕尔马斯港就是一个海港如何通过传感器网络生成大量数据的典型例子。这些传感器安装在气象站和海上浮标上,记录环境参数。同样,自动识别系统(AIS)会记录有关被跟踪船只的若干动态参数。然而,如果没有一个能够实现有意义的可视化并有助于做出决策的系统,如此大量的数据将毫无用处。在这项工作中,我们展示了SmartPort,这是一个为收集港口传感器数据提供分布式架构的平台,以及一个丰富的互联网应用程序,允许用户探索地理位置数据。所展示的SmartPort工具是管理和开发智能系统的一种具有代表性、前景广阔且鼓舞人心的方法。它满足了对用于管理复杂基础设施(如海港)的大数据分析和可视化实用工具的迫切需求。

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