Magnetic Proximity Sensor Technology and Solutions

Magnetic proximity sensors are widely used in industrial and research applications to detect the distance, shape, and motion of ferromagnetic or conductive materials. As monitoring demands increase, modern sensing solutions require higher accuracy, stability, and adaptability in complex environments. This study introduces an advanced magnetic proximity sensor design that combines a cylindrical permanent magnet with a scalar magnetic field sensor. Based on colossal magnetoresistance in manganite films, the sensor measures magnetic field magnitude independently of orientation, ensuring reliable and precise performance. Two sensor configurations were developed: one with a solid cylindrical magnet and another with a hollow cylindrical magnet. A steel plate and a superconducting YBaCuO disk were used to evaluate static response. Results showed a hyperbolic relationship between the magnetic field change and the distance to the target. For steel, the solid magnet produced a positive signal, while the hollow magnet generated a negative signal. For superconducting materials, the response behavior was reversed. The solid magnet design produced a negative signal, while the hollow magnet design showed a positive signal. These results highlight the sensor’s sensitivity to different material properties. Dynamic tests using rotating steel and duralumin plates indicated that the magnetic proximity sensor response is affected by both magnetization and eddy current induction. This confirms its ability to detect motion and material changes under dynamic conditions. Building on these findings, SUCH Sensors offers high-performance proximity sensor solutions for industrial applications. Compared with traditional sensors, this design provides improved sensitivity and wider application potential. With continuous innovation, SUCH Sensors delivers reliable solutions for accurate measurement and system integration. Overall, this magnetic proximity sensor design is suitable for detecting ferromagnetic objects, analyzing superconductors, and monitoring conductive materials, supporting modern sensing and automation needs.