0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Data-driven Bridge Asset Management with Drones, Robots & AI

 Data-driven Bridge Asset Management with Drones, Robots & AI
Author(s):
Presented at IABSE Conference: Engineering the Past, to Meet the Needs of the Future, Copenhagen, Denmark, 25-27 June 2018, published in , pp. 456-467
DOI: 10.2749/copenhagen.2018.456
Price: € 25.00 incl. VAT for PDF document  
ADD TO CART
Download preview file (PDF) 0.16 MB

Sund & Bælt is a technology-driven infrastructure company that owns and operates the fixed links across Storebælt and Øresund and, within a few years, the link across the Fehmarnbelt to Germany. ...
Read more

Bibliographic Details

Author(s): (Sund & Bælt Holding A/S, Copenhagen, Denmark)
Medium: conference paper
Language(s): English
Conference: IABSE Conference: Engineering the Past, to Meet the Needs of the Future, Copenhagen, Denmark, 25-27 June 2018
Published in:
Page(s): 456-467 Total no. of pages: 12
Page(s): 456-467
Total no. of pages: 12
DOI: 10.2749/copenhagen.2018.456
Abstract:

Sund & Bælt is a technology-driven infrastructure company that owns and operates the fixed links across Storebælt and Øresund and, within a few years, the link across the Fehmarnbelt to Germany. These facilities were built under the framework of the Danish state-guarantee model and have significantly improved daily travel for more than 250,000 customers.

Our current challenges are that our assets are aging with increasing costs and the learning curve for our knowledge of the assets is becoming more flat. This means that we will have to increase our use of technology to lower costs and to analyse our processes and methods more detailed and that we will have to analyse and redesign our assets through optimisation of our procurement processes.

Sund & Bælt is currently using a digital asset management system and is further digitising operation of our major bridges and infrastructure facilities in partnership with external technology experts to deliver unique solutions that will increase efficiency within the infrastructure area - not only at Sund & Bælt, but also within the industry as a whole.

The following paper describes, in details, how the bridges are managed, the ambition, the plan, results achieved so far, the technologies involved and finally the perspectives and conclusions.

Keywords:
infrastructure big data Predictive Maintenance digitalization technology-driven data-driven asset management AI (Artificial Intelligence) data analysis robots