A sensor signal calibration method for automatically realizing the test device for clearing damage

Abstract

The invention discloses an automatic implementation calibration method for a sensor signal of a cleaning loss testing device. The calibration method utilizes a software filter demodulation integrative technology, realizes automatic calibration operation of a signal of a cleaning loss testing device in different working environment, and achieves the goal of automatically acquiring frequency and amplitude value range of a band-pass filtering device, and automatically picking up grains; the defects that calibration operation of the sensor in prior period is very cumbersome, and consumes much manual labor, and measuring accuracy and reliability are affected due to no consideration of operation vibration noise of a reaping machine and influence of prompted high-frequency noise in the prior art are avoided.

Description

technical field [0001] The invention belongs to the technical field of sensor signal processing of harvesters, and in particular relates to a sensor signal calibration method for automatically realizing a damage removal test device. Background technique [0002] Most of the commonly used loss sensor detection circuits for harvesters are piezoelectric sensors, and the output of mechanical vibration detected by piezoelectric sensors is actually the amount of charge, and the vibration intensity is linearly proportional to the amount of charge, which is transformed into The amount of voltage, because the vibration signal generated by materials such as grains is very weak, is often submerged in a large amount of noise, and it must be first-stage amplified before it can be recognized by a single-chip microcomputer or a secondary instrument. When different materials such as weeds, chaff, stalks, and grains are used to hit the metal plate of the sensor, the signal frequency and ampl...

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Problems solved by technology

This method requires experiments to determine the frequency and amplitude range of each material, and there are too many changing factors, such as crop varieties, types, spraying heights, etc., so the pre-calibration work of the sensor is very cumbersome and requires a lot of manpower. It is also a test device. The key point, and because the working vibration interference of the harvester itself and the influence of high-frequency noise are not considered, the accuracy and reliability of the loss test are affected.

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