Bridge Maintenance

All posts tagged Bridge Maintenance

IoTBridge is part of new project on bridge monitoring

CNet 29th May 2026

IoTBridge is joining forces with Mid Sweden University, FiberCheck and Chemnitz University of Technology to develop next-generation bridge monitoring systems based on wireless, low-cost and low-power sensors and gateways.

Financed by Sweden’s Innovation Agency, Vinnova, the SHIELD project responds to the growing demand for reliable and affordable bridge monitoring solutions. The initiative has been driven by a series of serious infrastructure failures across Europe, where hidden structural damage went undetected by traditional inspection methods, leading to sudden collapses with major societal consequences.

On 11 September 2024, the Carola Bridge in Dresden suddenly collapsed due to corrosion damage that had gone undetected during standard inspections. The SHIELD project aims to reduce the risk of such accidents through real-time monitoring of critical parameters, including strain, vibration, corrosion and temperature. Heiko119 / iStockphoto.com

Combining expertise in sensor technology, IoT and AI

The consortium brings together expertise in sensor technology, IoT and AI to create energy-efficient, wireless monitoring systems capable of measuring critical parameters such as strain, vibration, corrosion and temperature in real time. The technology is designed to significantly reduce the cost of instrumenting bridges and other critical infrastructure, while also minimising maintenance requirements through low-power operation and fewer battery replacements.

The project focuses on three key challenges: developing low-power solutions for strain measurement, creating cost-effective and energy-autonomous data acquisition devices tailored for bridge monitoring, and implementing AI-based signal analysis directly within the system to reduce cloud storage requirements and data communication.

Sustainable and innovative infrastructure monitoring

Building on many years of combined research and industrial experience, the SHIELD project aims to advance sustainable and innovative infrastructure monitoring, helping to reduce accident risks, extend bridge lifespans and create new commercial opportunities.

The ultimate goal is to deliver robust and scalable monitoring systems that enable continuous supervision of even smaller bridges without access to fixed electrical infrastructure.

The SHIELD project runs from May 2026 through April 2028. IoTBridge is a subsidiary of CNet.

IoT, News Bridge Maintenance, IoTBridge

IoTBridge monitors Spanish bridge

CNet 21st October 2025

As part of Europe’s Rail partnership and the IAM4RAIL project, IoTBridge is providing the bridge monitoring system for collecting, aggregating, analysing and visualising sensor data from the Tajo-Segura Trasvase bridge, located along the Madrid–Valencia line.

By installing several sensors, the bridge is continuously monitored to understand its behaviour when trains pass, such as strains and vibrations. The data are analysed and transformed into actionable insights through advanced algorithms, enabling the platform to detect even slight deviations that might indicate issues with the rail structure or the train.

The measurements are carried out in collaboration between the Spanish railway infrastructure manager Adif, the Swedish Transport Administration Trafikverket and KTH Royal Institute of Technology, the latter of which has worked with IoTBridge on the development of the monitoring platform.

The monitoring will not only help enable more proactive maintenance of the bridge but also support future regulations for railway bridges in terms of cost-effectiveness and safety.

Read more about the project on Trafikverket’s website (in Swedish).

IoT Bridge Maintenance, IoTBridge

IoTBridge develops digital twin for bridge

Peter Rosengren 22nd March 2023

IoTBridge has developed a digital twin that is connected to a bridge monitoring system. The digital twin replicates the health status of the physical bridge and renders the continous sensor measurements from a real bridge, which is located at Bryngeån in the north of Sweden. Check out their demo video. The Building Information Model of the bridge is available in the digital twin making it possible to study individual construction details and how they are affected by train passages.

IoT Bridge Maintenance, Digital twin, IoT Architecture, IoTBridge

Bridge professor’s favorite constructions

Peter Rosengren 21st March 2022

Samhällsbyggarna, an association focusing on the development, building and management of Swedens future society, ran a feature about Raid Karoumi, the Research Director of CNets subsidiary IoTBridge and professor at KTHs department of bridge and steel construction written by Fredrik Hielscher.

An excursion into the fascinating world of bridge constructions and the opportunities new technologies create. Sweden has about 35.000 bridges, a population of constructions that is getting older, some structures over 100 years old, mostly railway bridges. The Swedish Transport Administration’s annual cost for the operation and maintenance of the bridges is around SEK 1.3 billion – a cost that risks increasing rapidly. But new advanced measurement and analysis methods can increase the life of bridges and result in fewer inspections and bridge reinforcements.Sensor-based condition assessment exists already and is used in many of todays products. In modern cars, you get a notifications about changes in the tire pressure, when it’s time to change oil or service the car, issues with system components. It’s the similar with bridges, the technology exists and is ready to be applied to bigger constructions to optimize maintenance and use.

Broprofessorns sex favoriter: ✓innovation ✓skala ✓skönhet

IoT Bridge Maintenance, IoT Deployment, IoT Development, IoTBridge

iBridge presented at Stålbyggnadsdagen 2021

Peter Rosengren 22nd November 2021

John Leander, from CNets subsidiary IoTBridge, presented the project iBridge on this year’s highlight for the steel construction industry, Stålbyggnadsdagen 2021, which was held 28th October in Stockholm.

iBridge aims to develop and demonstrate a full-scale digital instrumentation of bridges. The purpose is to complement manual inspections and to accelerate the industrialization of digital measurement and inspection services. The overall goal is to automate and make available existing knowledge that can reduce the costs for bridge management while guaranteeing safety.

Sweden municipalities alone manage more than 29,000 bridges, in addition to privately owned bridges and bridges owned by Swedish business and industry.

iBridge-Pres-Matningar-for-bedomning-av-Vasterbrons-tillstand Download

IoT Bridge Maintenance, IoT Deployment, IoTBridge, Machine Learning

IoT BRIDGE welcomes Jacob Nyman

Peter Rosengren 14th August 2021

CNets subsidary IoT BRIDGE welcomes a new member to the team, Jacob Nyman.

Mr. Nyman, who majored at KTH, School of Electrical Engineering and Computer Science (EECS) specializes in machine learning and will complement the teams expertise which consists of experienced IoT as well as cloud architects and developers, bridge construction scientists, sensor instrumentation experts and business and process developers.

Our goal is to advance the digitization of bridge operation and maintenance and to contribute to the renewal and better use of the Swedish and European transport infrastructure.

Jacob Nyman

Machine Learning Specialist

IoT Bridge Maintenance, IoTBridge, Machine Learning

New method to predict life expectancy of machines

Peter Rosengren 1st July 2021

CNets has sponsored a master thesis analyzing a new method to create a health indicator for machines. The master thesis was handed in and evaluated by KTHs School of Electrical Engineering and Computer Sciences (EECS).

The work is based on distance measurements transformed into a vector space through a feed-forward neural network. The neural network is trained using a multi-objective optimization algorithm to optimize criteria that are desired in a health indicator. The constructed health indicator is used as input to a gated recurrent unit (a neural network that handles sequential data) to predict the remaining life of a system in question.

The Master thesis Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance was carried out by Jacob Nyman in the field of machine learning:

IoT Bridge Maintenance, IoTBridge, Machine Learning

IoT Bridge Webinar

Peter Rosengren 24th May 2021

Monday the 21st of June CNets subsidiary IoTBridge organizes a Webinar in cooperation with Stockholm cities Trafikkontoret: “Digitalt beslutsstöd för komplex broinfrastruktur i urbana regioner” at 09:00-11:30 o-clock.

The event targets stakeholders related to bridge maintenance to introduce new digital solutions for bridge managements and maintenance.

The event will feature the following presentations on Swedish:

Utmaningar vid förvaltning av åldrande och komplex infrastruktur i täta regioner, Jonas Loberg, Enhetschef Anläggning på Trafikkontoret Stockholm stad.
Plattform för digitalt beslutsstöd; Peter Rosengren & John Leander, IoTBridge AB.
Broarna i Göteborg – Status och erfarenheter av ny och gammal broinfrastruktur; Mikael Andersson, Trafikkontoret Göteborg.
Övervakning av broar i dag och i framtiden; Tony Janhunen, Department Manager, Ramboll.
Stora Bælt, pilotprojekt för Maximo Civil Infrastructure; Jonas Back, Associate Partner & IT Architect, IBM.

IoT Bridge Maintenance, IoT Deployment, IoT Development, IoTBridge

IoTBridge installation at Västerbron

Peter Rosengren 5th February 2021

The IoTBridge team, a subsidiary of CNet, is now monitoring Västerbron, one of Stockholms main bridges. Inaugurated 1935 the bridge has an overall length of 600m, of which 340m stretch over water. About 50.000 vehicles pass this bridge per day, making it an integral part of Stockholms infrastructure.

The team has installed sensors for monitoring the health status of Västerbron. Acceleromters and strain gauges will continuously measure vibrations, stress and strains on the bridge. Raw data is sent to IoTBridge Cloud where it is transformed and synchronized with a digital twin of the bridge. Machine learning and advanced mathematical algorithms are applied to assess the structural health of the bridge. The ongoing monitoring and the analytical results are visualized in an easy-to-use app.

IoT Bridge Maintenance, IoT Cloud, IoTBridge

IoTBridge Webinar about digitalisation of bridge maintenance

Peter Rosengren 20th November 2020

IoTBridge organises in November a Webinar about state of the art solutions for the digitalisation of Bridge maintenance.

From inspections with drones to data based damage detection methods using Machine learning teqniques. For more details visit the announcement:

IoT Artificial Intelligence, Bridge Maintenance, IoTBridge