Enabling Industrial Data Space Architecture for Seaport Scenario

Abstract

The evolution of seaports to smart ports is the most important revolution they must face in order to meet the high requirements of efficiency, economy, and security. Achieving this evolution is a task full of challenges. One of these challenges is the interoperability of the stakeholders' information systems. Interoperability has been widely studied but there is still some reluctance to adopt the solutions because the stakeholders are afraid of sharing their data. Recently, the Industrial Data Space (IDS) reference architecture proposes several recommendations and specifications to solve this issue based on data sovereignty concept. This architecture has not been studied nor implemented for the seaport use case yet. For this reason, this paper presents a seaport data space based on IDS architecture to share information in a secure and interoperable manner. Along with this, a big data architecture is added to exploit the shared data. The seaport data space is implemented using the FIWARE IoT platform. The seaport data space is tested by sharing the data of the port authority to the port terminal and analyzing the large shared data through descriptive analysis. The results show that by using the seaport data space, the shared data allow improving the decision making in the planning operations of the seaport.