CNets subsidiary IoT Bridge has in cooperation with KTHs School of Electrical Engineering and Computer Science (EECS) sponsored a thesis that analyses a new method to create a health indicator of machines. It 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:
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.
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.
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:
Today a new international version of www.iotbridge.se is
available. IoTBridge is focused on developing and marketing products and
services for Bridge Health Monitoring using IoT and AI technologies. IoTBridge
Sweden is a subsidiary of CNet.
In its latest issue, the prestigious journal Stålbyggnadsnytt published an article about IoTBridges monitoring solution on Västerbron in central Stockholm. IoTBridge is focused on developing and marketing products and services for Bridge Health Monitoring using IoT and AI technologies. IoTBridge Sweden is a subsidiary of CNet. Read more at www.iotbridge.se.
The Swedish government is currently investing huge amounts of financial resources to renew critical infrastructures and to cover the management of these structures until 2030. IoTBridge has been appointed as the coordinator of the project iBridge. Together with the Swedish Road Administration and the City of Stockholm IoTBridge will investigate new technological possibilities and develop solutions for next-generation bridge management and maintenance methods.
IoTBridge is focused on developing and marketing products and services
for Bridge Health Monitoring using IoT and AI technologies. IoTBridge Sweden is
a subsidiary of CNet. Read more at www.iotbridge.se.
The Västerbron in central Stockholm is a steel arch road bridge and is one of the major bridges of Stockholm, opened in 1935. It is also famous for being the toughest passage of the Stockholm Marathon. A wireless sensor system was installed during this summer on the structure. The system consists of 5 strain gauges, 1 inclinometer, 2 three directional accelerometers and 1 temperature sensor. The structure will be monitored with the IoTBridge Bridge Monitoring System. This includes sensor integration modules, wireless gateways, communication modules, MQTT Message Broker, GOST database for aggregation and storage of measurements and cloud infrastructure with algorithms and machine learning modules. IoTBridge and the KTH Royal Institute of Technology in Stockholm have developed a machine learning method to improve the accuracy in damage detection using acceleration data.
IoTBridge is focused on developing and marketing products and services for Bridge Health Monitoring using IoT and AI technologies. IoTBridge Sweden is a subsidiary of CNet. Read more at www.iotbridge.se.