RM-1 Sensor

Wireless Track Geometry & Void Monitoring

The RM-1 Sensor is a rugged, wireless triaxial inclinometer designed for high-precision track geometry and void detection, forming a key component of Railmonitor’s TrackBed360 Series. Built for extreme conditions, it delivers continuous, accurate measurements with minimal maintenance—ideal for long-term infrastructure monitoring.

🛰️ Key Features

• Triaxial Tilt Measurement (X, Y, Z)
  Configurable data intervals from every 30 seconds to 24 hours.

• Dynamic Z-Direction Monitoring
  Captures rail deflection per train passage with 0.1 mm resolution.

• Edge Computing Capabilities
  Built-in data processing enables local analysis before transmission, reducing latency and network load.

• Long Battery Life
  Up to 10 years of operation (based on hourly transmission) with no external power source required.

• Fully Wireless & Secure
  Encrypted data transmission via optional LoRaWAN gateway to Railmonitor’s Digital Service Platform.

• Extreme Environment Resilience
  Operates reliably from –40 °C to +85 °C, with IP68 protection and high impact resistance (2000g).

🧠 Smart Functions

• Static & Dynamic Track Monitoring
  Detects both long-term track settlement and short-term deflection events.

• Applications Include:

  • Static/dynamic railway track monitoring

  • Bridge, tunnel & slope movement detection

  • Landslide and substructure movement surveillance

📐 Technical Specifications

• Axes Measured: X, Y, Z (Triaxial)

• Accuracy: Up to 0.005°

• Resolution: 0.001°

• Battery Life: Up to 8–10 years

• Network: LoRaWAN, 868 MHz

• Protection Level: IP68 (1m underwater for 24 hours)

• Operating Temperature: –40 °C to +85 °C

• Size: 105.2 mm (L) × 85 mm (W) × 101.8 mm (H)

• Weight: 450 grams

• Mean Time Between Failure (MTBF): 100,000 hours

• Impact Resistance: 2000g, 0.5 ms, 3 times per axis

✅ Why Choose the RM-1?

• No cables or power lines required

• Industry-leading accuracy in a compact form

• Designed for harsh, high-risk environments

• Seamlessly integrates with Railmonitor’s monitoring ecosystem