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.
We have started rolling out an IoT solution for monitoring of the Lidingö Bridge. This bridge is a railway bridge connecting the island of Lidingö with the city of Stockholm. The bridge is old and needs careful monitoring to ensure the structural integrity of the bridge.
The IoT sensors report vibrations, tensions, temperature etc., which gathered and sent to a cloud solution. The data is reported using the OGC (Open Geospatial Consortium) format and an open API allows smart phone apps to be created to render the data and process it for advanced analytics
We are using Internet of Things to monitor the health status of old bridge in our new project “Smart assessment, surveillance and management of critical bridges”. The old Lidingö Bridge will be equipped with IoT sensors that reports about various damages on the bridge and how it reacts to vibrations and weather conditions. The data is received, processed and analysed in a cloud solution delivered by CNet. The project is part of a new programme, InfraSweden 2030, for the future infrastructure in Sweden. The project is carried out with KTH, SICS and Uppsala University.
Together with Swedish Computer Society CNet gave a breakfast seminar on Innovation with Internet of Things. The seminar was well visited and also broadcasted over the web. The attendants were knowledgeable and there were lively discussions on how to integrate IoT into existing business systems to achieve process improvements.
We will participate and exhibit the results of our R&D project IoTBridge at the Eureka Innovation Week in Stockholm 26-27 April. Roads and bridges are critical infrastructures in a city. Repairs and maintenance work immediately effects the traffic situation. Manual inspections of road and bridge conditions are costly. These problems are tackled by the IoTBridge consortium in which CNet is a part. We are combining different types of sensors embedded into wireless sensor networks which exchange information utilising cloud technologies. Data on the use of bridges and status of various parts is analysed to optimise inspection intervals and maintenance to reduce the costs for upkeep and ensure safety. A first installation of the system is done at the new Årsta Bridge, a railway bridge in Stockholm. This is part of our innovation activitities targeting Smart Cities and Infrastructure Management.
CNet today participated and made a presentation at an international M2M for Smart Cities Workshop in Copenhagen. Sustainable urban development is recognised as a key challenge at a global level. The ‘Smart Cities’ model provides opportunities and challenges for cooperation on issues related to areas of energy, water, health, transport, environment, information and communication technologies.
During the workshop CNet presented the Almanac project and our work on how to integrate IoT Data and Business Data to achieve real business process improvements of the city operations. We are also researching and developing a federated storage architecture for big data processing and advanced resource and service catalogue functions to support semantic interoperability of heterogeneous resources, devices, and services.