IoTBridge

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IoTBridge develops digital twin for bridge

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.

Peter RosengrenIoTBridge develops digital twin for bridge

Bridge professor’s favorite constructions

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.

Peter RosengrenBridge professor’s favorite constructions

iBridge presented at Stålbyggnadsdagen 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.

Peter RosengreniBridge presented at Stålbyggnadsdagen 2021

IoT BRIDGE welcomes Jacob Nyman

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

Peter RosengrenIoT BRIDGE welcomes Jacob Nyman

New method to predict life expectancy of machines

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:

Peter RosengrenNew method to predict life expectancy of machines

IoT Bridge Webinar

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.

Peter RosengrenIoT Bridge Webinar

IoTBridge installation at Västerbron

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.

Peter RosengrenIoTBridge installation at Västerbron

IoTBridge in media

IoTBridge and their activities for IoT-based solutions for bridge monitoring and maintenance are gaining interest in the trade press. The e-magazine Underhållsdagarna has published an article about the project. For more details follow this link to the article:

Peter RosengrenIoTBridge in media