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JBC series dynamic inclination sensors

Dynamic inclination sensors with IO-Link

ifm has announced the launch of its new JBC series dynamic inclination sensors, providing a highly accurate angle measurement solution for applications prone to heavy shock and vibration. The new devices merge three-dimensional acceleration and three-dimensional gyro data to ensure exceptional signal quality and fast response times. These sensors are specifically designed for levelling, alignment, stability and angular detection in industrial machines and structures, such as forklifts, where continuous movement often disrupts process data from other sensing technologies.

The JBC series records all accelerations and rotations across six degrees of freedom. To overcome the challenges of moving machinery, the sensors utilise an advanced Kalman filter. This technology successfully filters out machine motion disturbances caused by a vehicle starting, braking or hitting uneven surfaces, thanks to resilience against acceleration, deceleration, impacts or vibration. As a result, the sensors deliver highly reliable inclination values even during the most dynamic industrial operations.

Despite their advanced capabilities, the sensors feature a lightweight and compact design. Each unit weighs under 20 grams and attaches easily in tight spaces using only two screws, which provides a stable and vibration-free mount. The robust, fibreglass reinforced plastic housing carries maximum protection ratings up to IP6K9K. This ensures the sensors can withstand harsh external influences whilst maintaining a static accuracy of 0.25 degrees and a dynamic accuracy of 0.5 degrees.

Ease of use remains a top priority in the JBC series design. The sensors communicate filtered data, raw data, and temperature readings directly through IO-Link or two independent switch points. Basic sensor parameters can be configured quickly over the IO-Link network. Furthermore, operators can easily set the sensor’s reference plane directly on the device using the integrated inductive teach face, completely removing the need for extra software tools.

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