Temperature Sensor
Railway Metrics and Dynamics’ system solution consists of temperature sensitive bolts from Strainlabs in conjunction with PMU sensors. The bolts send their information to nearby PMUs, where the information from the bolts is analyzed together with the data from the PMU.
The combined technology analyzing temperature data in real-time, provides efficient protection from derailments caused by thermal overload in the wheel axle box. The smart bolts detect the increased temperature in thermally overloaded wheel axle boxes, while the PMU registers changed vibrations in them – either immediately when a derailment occurs, minimizing the infrastructure damage, and in the best case, before the derailment even occurs.
Connected IoT Bolts
The smart bolts are manufactered by the Swedish company Strainlabs, which entered into a partnership agreement with Railway Metrics and Dynamics during 2024. The connected bolts provied yet another dimension of information that is seamlessly integrated within our own proprietary system solution.
Features
- Monitors temperature over time
- Combines temp data with vibrations
- Real-time monitoring
- Alerts driver via MyTrainApp
- Prevents damage to cargo, train and infrastructure
Need more information?
More products from RMD
Rear-view Camera
The rear-view camera from RMD is thouroghly tested - in all weather conditions. It increases safety, streamlines train shunting and enhances productivity.
The Performance Monitoring Unit
Constantly evolving and learning, the AI driven and Machine Learning based PMU (Performance Monitoring Unit) constantly improves itself. It is an extremely competent unit, capable of detecting and recognizing all types of anomalies in railway infrastructure and rolling assets
Pantograph Sensor
The pantograph sensor monitors trends and deviations and sends data to be processed by RMD's machine learning algorithms. It registers any potential faults or errors of the pantograph itself - as well as any potential damage to both the carbon rail and the copper line.