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Description
This paper presents the development and preliminary laboratory assessment of an autonomous system for inclinometer monitoring capable of simultaneously measuring the inclination and rotation in inclinometer casings. The solution addresses limitations of conventional inclinometric systems, which typically neglect casing twist and often rely on manual or partially automated operation. The system is based on a compact data acquisition unit built around a Raspberry Pi Pico 2W microcontroller, integrating a MEMS-based biaxial inclinometer and a triaxial magnetometer for real-time estimation of roll, pitch, and yaw along the depth of inclinometer casings. A laboratory setup was developed to assess sensor performance under controlled angular positions, where measurements were acquired across the full angular operating ranges considered for each sensor and statistical metrics — including mean value, standard deviation, and repeatability-based confidence intervals — were computed. Results indicate short-term stability and repeatability for inclination measurements, while yaw estimates are more susceptible to magnetic disturbances in the near-sensor environment. These preliminary results support further development of the autonomous system for geotechnical applications, although a complete uncertainty budget is still required for full metrological validation.