Vibration & Noise Reduction

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Vibrations and noise in railways primarily stem from the dynamic interaction between train wheels and tracks. Key contributing factors include:

Conclusion: Understanding the causes of railway vibrations and noise is essential for ensuring a smooth, safe, and efficient rail system. Factors such as wheel-rail interaction, track irregularities, train speed, and structural resonance all contribute to these challenges. If left unaddressed, excessive vibrations can lead to increased wear, structural damage, passenger discomfort, and higher maintenance costs. Therefore, continuous monitoring and optimization of wheel-rail dynamics are crucial to minimizing vibrations and enhancing overall railway performance.

In tram traffic, the wheels of trams often produce unpleasant noises when navigating curves, which are caused by inadequately lubricated rails. Efficient lubrication is not only a matter of noise reduction but also of environmental protection and resource conservation. The challenge lies in accurately predicting where and when lubrication is needed to minimize lubricant consumption while simultaneously preventing wheel squeal.

Our solution is based on an intelligent combination of deep learning and real-time data processing. Equipped with the RET4000 measurement device, which continuously captures noise and vibration data during operation, and an RAR4000 edge computer, which analyzes the data, the system can precisely determine when and where lubrication needs to be applied. This prediction is made possible by a deep learning model that learns from the captured data and continuously improves.

• Efficient Lubrication: By precisely controlling the mobile grease pumps, lubrication is applied only where it is actually needed. This reduces material consumption and is environmentally friendly.
• Noise Reduction: Trams operate more quietly as the wheels are consistently optimally lubricated, preventing disturbing squeaks.
• Longer Lifespan: By minimizing wear on the rails, their lifespan is extended, which saves costs in the long run.

Our solution is fully integrated into Bernmobil's infrastructure and uses an edge system to process data directly on-site. The RET4000 measurement devices are installed in the trams and continuously collect data on noise and vibrations. The collected data is sent to a central RAR4000 edge computer, which performs the calculations and controls the grease pumps as needed. An LTE connection ensures that the data is transmitted in real-time to a cloud database, where it is available for further analysis.

• RET4000 Measurement Device: Continuously measures noise and vibration data.
• Mesh Network: Connects multiple devices to each other if needed.
• Microphones: Capture both internal and external noises.
• Vibration Sensors: Optional for additional vibration measurement.
• LTE Connection: Provides remote access and data transmission to the cloud.
• RAR4000 Edge Computer: Performs calculations and controls the grease pumps.