Digital weft yarn detection device and method for weaving

Abstract

The invention discloses a digital weft yarn detection device and method for weaving. The device comprises a microprocessor and a weft yarn detection module. The weft yarn detection module comprises a light emitting diode and a photoelectric receiving tube opposite to the light emitting diode. The microprocessor is used for producing a carrier wave signal and transmitting the carrier wave signal to a driving module so that the light emitting diode is driven to produce an optical pulse signal. The photoelectric receiving tube is used for simultaneously receiving an optical pulse signal transmitted by the light emitting diode and an interference signal, transforming the superposed optical pulse signal and interference signal into an electric signal and transmitting the electric signal to the microprocessor. The microprocessor is used for carrying out digital demodulation processing on the received electric signal to obtain the interference signal received by the photoelectric receiving tube, carrying out digital filtering on the interference signal to obtain a voltage value of the interference signal subjected to digital filtering, comparing the voltage value and a preset voltage threshold value range and determining if the weft yarn reaches the position between the light emitting diode and the photoelectric receiving tube.

Description

technical field [0001] The invention belongs to the field of weft yarn detection, in particular to a digital weft yarn detection device and method for weaving. Background technique [0002] On the loom, in order to ensure the quality of the weaving, it is necessary to detect each weft yarn to ensure that the weft yarn is successfully inserted within the specified main axis angle. If there are problems such as long weft and short weft, the loom control system will generate an alarm and realize a shutdown to prevent defects in the woven fabric. There are following deficiencies in the existing weft detection device at present: [0003] (1) The analog circuit is used, which is composed of LC frequency selection method, wave detection, filter circuit and comparator. This kind of circuit has a complex structure, is easily affected by external temperature and light source intensity, and has poor stability; as time goes by, the aging of electronic components will cause sensitivity...

AI Technical Summary

Problems solved by technology

This kind of circuit has a complex structure, is easily affected by external temperature and light source intensity, and has poor stability; as time goes by, the aging of electronic components will cause sensitivity drift and need to be recalibrated;

[0004] (2) In the process of weft yarn detection, the weft yarn signal is relatively small, and it is easy to mix with the noise signal and it is difficult to distinguish it, which increases the difficulty of weft yarn detection, resulting in low precision of weft yarn detection and accurate detection results Poor sex

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