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How to calibrate the distance measurement module to improve the measurement accuracy?

Publish Time: 2024-07-14
To calibrate the distance measurement module, you first need to clarify the type of module used and its characteristics. Taking the ultrasonic distance measurement module as an example, its calibration process usually involves the following steps:

Environment preparation: Select an open environment without obstructions and strong reflectors for calibration to ensure that the measurement signal is not disturbed. At the same time, pay attention to controlling the ambient temperature and humidity, because the speed of sound is greatly affected by temperature and temperature compensation is required.

Standard distance setting: Use a standard distance with a known precise length as the calibration reference. For example, set up a reflector and accurately measure the distance between the reflector and the distance measurement module as the standard value for calibration.

Perform calibration operation: Follow the calibration instructions of the distance measurement module and start the calibration procedure. Usually, this includes sending a measurement signal, receiving a reflected signal, and calculating the measurement value. Compare the measurement value with the standard value and adjust the calibration parameters inside the module according to the difference.

Repeat verification: After adjusting the parameters, repeat multiple measurements to verify the calibration effect. Ensure that the results of multiple measurements are stable and close to the standard value.

Record and save: After the calibration is completed, record the calibration parameters and calibration results for future reference. At the same time, save the environmental conditions information during calibration so that it can be traced back when needed.

Through the above steps, the measurement accuracy of the distance measurement module can be effectively improved. Different types of measurement modules may require different calibration methods and tools, but the overall idea is similar, that is, by comparing the measured value with the standard value, the module parameters are adjusted to reduce the error.
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