Smart screws from Strainlabs that detects when the temperature starts to get too high ? for example in wheel axles and bearings. They will be a strong complement to Railway Metrics and Dynamics system platform, which uses several different types of sensors to predict faults in trains or tracks.

The two companies have entered into a cooperation agreement that makes Railway Metrics and Dynamics' predictions even more reliable. The two Swedish companies Railway Metrics and Dynamics and Strainlabs have entered into a cooperation agreement that strengthens the possibilities of predicting arising faults in trains. Strainlabs has developed Internet of things screws, which measure the temperature in the screw and how tightly it is tightened.

Thus, the IoT screw can detect if it is not tightened enough, or if the temperature is about to get too high. Railway Metrics and Dynamics has developed a system platform for analysis and monitoring of infrastructure in real time ? a system of systems that includes data from different types of sensors, for example weight sensors, trailer lock sensors and pantograph sensors.

The heart of the system is the magnet-mounted sensor Performance Monitoring Unit (PMU), which registers the vibrations that occur when a train moves along the track. With the help of machine learning and AI, the PMU can ? by analyzing changes in the vibration pattern ?

detect if a fault is about to occur in, for example, a train wheel or in the track. With the new cooperation agreement between the two companies, Railway Metrics and Dynamics' system solution becomes even stronger, when IoT screws are installed in the axlebox on trains that are also equipped with PMUs. The screws sends their information to nearby PMUs, where the information from the screws is analysed together with the data from the PMU.