Abstract
Current Internet of Things (IoT) stacks are frequently focused on handling an increasing volume of data that require a sophisticated interpretation through analytics to improve decision making and thus generate business value. In this paper, a cognitive IoT architecture based on FIWARE IoT principles is presented. The architecture incorporates a new cognitive component that enables the incorporation of intelligent services to the FIWARE framework, allowing to modernize IoT infrastructures with Artificial Intelligence (AI) technologies. This allows to extend the effective life of the legacy system, using existing assets and reducing costs. Using the architecture, a cognitive service capable of predicting with high accuracy the vessel port arrival is developed and integrated in a legacy sea traffic management solution. The cognitive service uses automatic identification system (AIS) and maritime oceanographic data to predict time of arrival of ships. The validation has been carried out using the port of Valencia. The results indicate that the incorporation of AI into the legacy system allows to predict the arrival time with higher accuracy, thus improving the efficiency of port operations. Moreover, the architecture is generic, allowing an easy integration of the cognitive services in other domains.
Highlights
Maritime transport is one of the main pillars of world trade and economy [1,2]
This paper proposes an artificial intelligence Internet of Things (AIoT)-based open-source architecture that will enable the incorporation of cognitive services into legacy IoT systems that lacks of these capabilities
The followed component approach facilitates the integration of the developed predictive model in other systems. This manuscript proposes a reference open artificial intelligence Internet of Things (AIoT) architecture, which has been designed by being compliant with the state-of-the-art
Summary
Maritime transport is one of the main pillars of world trade and economy [1,2]. It is a complex environment where logistic planning has a fundamental role to ensure an efficient use of resources [3]. The maritime community is composed of a large number of actors responsible for different activities related to port management; port authorities need open and neutral platforms that connect multiple systems, and these are known as port community systems [4]. They allow safe and intelligent exchange of information between different organizations that comprise the whole maritime community. This exchange enables the optimization, management, and automation of logistics and port processes [5], thereby improving the efficiency and the competitiveness of port communities. These shared and organized platforms are used both by public and private stakeholders [6] such as shipping agents, customs, freight forwarders, and terminal operators
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