ANAS tenders more bridge monitoring

Italy sent out the first three of five tenders to the EU’s Official Journal between earlier this year.
Highway & Network Management / November 22, 2022 1 minute Read
By David Arminas
Condition monitoring sensors for bridges in Italy are being set up to avoid fatal accidents such as the collapse of the Morandi Bridge in Genoa (© Nazario Di Mauro/Dreamstime)

ANAS, the government-owned Italian road and motorway agency, has opened the fourth of five tenders for the structural health monitoring of bridges using IoT.

The tender, for around €143 million (US$148.2 million), has been published in the European Union’s Official Journal. The overall investment for the five tenders will be around €275 million ($326.34 million), coming from the government’s National Recovery and Resilience Plan.

The first tenders three went to the Official Journal between April and October this year. The fifth and last will be in the Official Journal shortly, according to Italian media reports.

The technology will include sensors embedded into a bridge’s structure.

According to information supplied by the European Parliament, Italy's Recovery and Resilience Plan is the largest national plan under the unprecedented EU response to the crisis triggered by the coronavirus pandemic. Italy is using its entire national allocation under the EU’s Recovery and Resilience Facility, including its loan component of €122.6 billion.

In May 2020, World Highways reported that a bridge monitoring deal in Genoa worth around €989,000 was set up for the new bridge that was being constructed to replace the Morandi Bridge, which collapsed in 2019. Called Cymon, the bridge monitoring project includes a digital twin of the new bridge. A combination of sensors and augmented reality technology will be used to model structural loads and environmental factors to which the bridge is being subjected.

A new partnership between SGS and AIMSight was set up in 2018 allowing fully remote continuous structural health monitoring (SHM) of bridges using crack monitoring sensors and data analytics.

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