avkänningskurvor

Avkänningskurvor, or sensing curves, are graphical representations used to illustrate the relationship between a measured physical quantity and the signal produced by a sensor. These curves are fundamental in understanding sensor performance and calibration. They typically plot the sensor's output (e.g., voltage, current, digital value) on the y-axis against the input physical quantity (e.g., temperature, pressure, light intensity) on the x-axis.

The ideal avkänningskurva is often a straight line, indicating a linear relationship between the input and output. This linearity simplifies signal processing and calibration. However, many sensors exhibit non-linear behavior, meaning the output signal does not change proportionally to the input. Non-linear curves can be more complex, exhibiting exponential, logarithmic, or other characteristic shapes.

Key parameters derived from avkänningskurvor include sensitivity, which is the slope of the curve, indicating how much the output changes for a unit change in input. The range of the sensor, defined by the minimum and maximum values of the input quantity for which the sensor provides a meaningful output, is also evident from the curve. Furthermore, the curve can reveal the sensor's resolution, accuracy, and linearity.

Understanding and characterizing avkänningskurvor is crucial for selecting the appropriate sensor for a given application, for calibrating sensors to ensure accurate measurements, and for developing algorithms to interpret sensor data effectively. Manufacturers often provide these curves in sensor datasheets to guide users.