port_AI

Motivation

The infrastructure of German sea and inland ports is often reaching its capacity limits, while at the same time the demands on safety and reliability of facility management are increasing. First and foremost, the service life of the infrastructure is of great importance. A thoroughly digital management of the existing port infrastructure enables an economical use of resources, a predictive maintenance, early as well as comprehensive damage detection and assessment, which can lead to considerable cost savings.

Project Goal

The project port_AI enables for the first time the holistic mapping of port structures using digital and automatable methods in a digital twin model. In this way, the condition of the infrastructure, structure inspections, remaining life prognoses and thus also the necessary investment planning can be made available to operators digitally, transparently and objectively. In order to obtain a digital port twin as an image, novel measurement, analysis and evaluation methods as well as innovative processes for as-built data acquisition are to be developed in order to generate the necessary database in real time.

Objectives of NPorts subwork packages:

• Development of a sheet pile cadastre to determine the static remaining service life via rusting rates
• Developments for the transfer and representation of recorded damage in 3D BIM models
• Integration of a model-based data center 
• Integration of georeferenced inspection