- Geosense
Inclinometer Spiral Sensor
The Inclinometer Spiral Sensor is engineered to deliver highly precise measurements of spiral or torsional deformation inside inclinometer casings. This sensor is essential in projects where rotational shifts can indicate structural stress, instability, or long-term deformation trends. Designed for geotechnical and structural monitoring, it offers consistent performance in applications such as retaining walls, deep excavations, tunnels, dams, embankments, and landslide-prone slopes.
Unlike standard inclinometer probes that only measure lateral displacement, a spiral sensor identifies rotational offsets that may compromise data accuracy. This ensures engineers receive true axis readings, improving interpretation and decision-making. Built with durable materials and stable electronic components, it performs reliably even in demanding environmental conditions. The sensor seamlessly integrates into automated monitoring systems, delivering real-time data streams for long-term performance evaluation. With its efficient design, setup is simple, and compatibility with common inclinometer casings adds flexibility across many field scenarios.

Advantages
Ensures more accurate inclinometer readings by detecting rotational misalignment
Enhances safety by providing early warning of structural instability
Reduces risk of data errors caused by twisted or deformed casings
Ideal for critical infrastructure and long-term geotechnical monitoring
Supports real-time decision-making with reliable and consistent performance
Extends monitoring capability beyond conventional inclinometer methods
Key Features
- High-accuracy measurement of spiral or torsional casing deformation
- Compatible with standard inclinometer and spiral casings
- Robust stainless-steel construction for long-term field durability
- Fast, repeatable readings with low noise and high stability
- Suitable for both manual and automated monitoring
- Easy integration into existing geotechnical monitoring systems
- Lightweight, user-friendly design for efficient field deployment
