CN114059205A - Yarn quality on-line monitoring method - Google Patents
Yarn quality on-line monitoring method Download PDFInfo
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- CN114059205A CN114059205A CN202111577174.0A CN202111577174A CN114059205A CN 114059205 A CN114059205 A CN 114059205A CN 202111577174 A CN202111577174 A CN 202111577174A CN 114059205 A CN114059205 A CN 114059205A
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- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01H—SPINNING OR TWISTING
- D01H13/00—Other common constructional features, details or accessories
- D01H13/14—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements
- D01H13/22—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements responsive to presence of irregularities in running material
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- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01H—SPINNING OR TWISTING
- D01H13/00—Other common constructional features, details or accessories
- D01H13/32—Counting, measuring, recording or registering devices
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Abstract
The invention discloses a yarn quality on-line monitoring method, which is characterized in that a photoelectric module in a monitoring device comprises an emitting tube and two receiving tubes, a shell and a partition plate are used for dividing and enclosing two independent optical channels as a main measuring end and a comparison end, each optical channel is respectively provided with a luminous flux regulating valve and a receiving tube, light emitted by the emitting tube is respectively irradiated to the receiving tubes through the two optical channels to generate photoelectric signals, a yarn channel is arranged in the optical channel of the main measuring end, so that the yarn to be detected shields the light irradiating the receiving tubes of the main measuring end through the optical channel of the main measuring end; the monitoring process is divided into a static working state and a dynamic tracking state according to whether the yarns move, the monitoring is automatically switched by the control software when being started at each time, the main sensor can be monitored in real time and accurate compensation and alarm of measurement errors can be realized by comparing electric signals of the main measuring end and the comparison end, the main sensor is ensured to work in an ideal state, and the measurement precision and the measurement speed are improved.
Description
Technical Field
The invention belongs to the technical field of yarn manufacturing quality control and detection, and particularly relates to an online yarn quality monitoring method.
Background
The yarn is a basic material of the fabric, various defects are inevitably generated due to factors such as raw materials, production equipment, working environment, operators and the like in the process of producing the yarn, and parameters such as hairiness, CV value and the like of the yarn need to be monitored on line in actual production. The quality of the yarn becomes a major factor in the quality of the fabric. Therefore, the attention of the textile industry is paid to how to effectively perform online yarn quality monitoring so as to improve the yarn quality.
The electronic yarn clearer is a main device for controlling the quality of yarns, is usually arranged on yarn winding equipment, cuts off and eliminates yarn defects through a cutter mechanism according to a detection result, and splices and winds the yarns again after the yarn defects are eliminated. According to the detection principle, the existing electronic yarn clearer mainly comprises a capacitance type and a photoelectric type. The existing photoelectric yarn clearer is characterized in that a light emitting tube and a receiving tube serving as a photoelectric sensor are paired to form a light path, a yarn to be detected passes through the light path between the light emitting tube and the receiving tube, and the light path formed by the light emitting tube and the receiving tube is used for detecting the shading flux of the yarn to detect whether defects exist in the yarn. The difference of the yarn thickness and the hairiness can be reflected by the shielding of the yarn luminous flux. The photoelectric yarn clearer is less influenced by the environmental humidity, has lower requirements on the environment and is increasingly concerned by textile enterprises. The existing photoelectric yarn clearer adopts a light path formed by a group of photoelectric transmitting and receiving tubes, cannot well judge the pollution condition of the light path and the aging condition of a photoelectric device, and cannot accurately compensate the measurement error caused by the circuit error; the existing yarn clearer has relatively low measurement precision and few measurable parameters, and can not meet the requirements of textile enterprises on online yarn parameter detection.
Disclosure of Invention
The invention aims to overcome the defect that the existing photoelectric electronic yarn clearer can not accurately compensate the measurement error according to the light path pollution and the aging condition of devices, and provides an on-line yarn quality monitoring method capable of realizing accurate compensation and alarm of the measurement error.
Therefore, the invention adopts the following technical scheme: a yarn quality on-line monitoring method, use mainly by ARM processor, zero point adjustment control module, photoelectric module, power system module, two LED pilot lamps and cutter mechanism make up the monitoring device, the ARM processor of a plurality of monitoring devices connects with a host computer signal and makes up the monitoring system, install the corresponding control software on host computer and ARM processor, the power system module connects with ARM processor and provides the power energy for the monitoring device, the cutter mechanism is controlled by the said ARM processor through the cutter control system, two LED pilot lamps are controlled by the said ARM processor to turn on and turn off; the photoelectric module is characterized by comprising a transmitting tube and two receiving tubes, wherein two independent optical channels are formed by a shell and a partition plate in a separating and enclosing mode, each optical channel is respectively provided with a luminous flux regulating valve and one receiving tube, light emitted by the transmitting tube is irradiated to the receiving tubes through the two optical channels to generate photoelectric signals, one optical channel is used as a main measuring end, the other optical channel is used as a contrast end, and a yarn channel is arranged in the optical channel of the main measuring end, so that the yarn to be detected can shield the light irradiating the receiving tubes of the main measuring end through the optical channel of the main measuring end; the ARM processor is in signal connection with the zero point adjustment control module, the main measurement end receiving tube and the comparison end receiving tube are respectively connected with the ARM processor through a signal processing circuit, and the ARM processor is used for data transmission and processing to realize control over the zero point adjustment control module and the photoelectric module; the current of the transmitting tube is controlled by using a zero point adjustment control module; before the monitoring system is used for the first time, the photoelectric module is debugged, and the current of the transmitting tube is controlled by the zero point adjustment control module so as to set the luminous flux which enables the photoelectric signal level value of the receiving tube to reach the set zero point; adjusting light flux adjusting valves on a main measurement end light channel and a comparison end light channel to enable the levels obtained by two receiving tubes on the main measurement end light channel and the comparison end light channel to be equal, and after debugging is completed, sealing and fixing the two light flux adjusting valves; when no yarn passes through the yarn channel, the level values of the electric signals generated by the main measuring end and the comparison end deviate, if the level value deviation is within a preset tolerance range, the electric signal compensation is carried out, the level difference value is used as a compensation quantity, and if the level value deviation exceeds the tolerance range, an alarm is given; the monitoring process is divided into a static working state and a dynamic tracking state according to whether the yarn moves, and the monitoring is operated according to the following steps and is controlled by the control software to automatically switch when being started each time:
the method comprises the following steps that firstly, a static working state is automatically entered, an upper computer is communicated with an ARM processor, and the following processes are sequentially executed through software: initializing static work, waiting for address allocation, judging whether the address is allocated or not, if not, returning to the address allocation, entering threshold processing, zero compensation processing, static yarn defect processing, communication processing, inspection command processing, judging the running state of the yarn, judging whether the yarn signal enters the dynamic state or not, otherwise, returning to the zero compensation processing, entering the yarn tracking state, and setting a dynamic mark; finishing key processing, LED processing and alarm processing while finishing static yarn defect processing; the static work initialization is related mark setting, CPU function unit definition, and starting AD conversion of a comparison end and a main test end, and comprises the following functions: setting a start mark, initializing variables, initializing a timer 1, initializing a timer 2, starting AD1 and starting AD 2;
secondly, dynamically judging and monitoring the motion of the yarn, entering a dynamic tracking state when a yarn signal enters the dynamic state, and sequentially executing the following processes through software: dynamic tracking initialization, reading two groups of AD values, judging whether the yarn enters for the first time, if so, entering primary mean processing and gain adjustment, otherwise, judging the running state of the yarn, judging whether the yarn signal enters the static state, if so, entering the static working state, otherwise, entering yarn signal compensation, processing common yarn defect types, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after the cutter processing is finished, otherwise, carrying out PC yarn defect processing, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after the cutter processing is finished, and otherwise, sequentially entering mean tracking, CV value processing, dynamic LED processing, yield statistics and communication processing; the dynamic tracking initialization comprises the following functions: initializing timer 1, initializing timer 2, starting AD1, starting AD 2.
The zero point compensation processing comprises comparison end zero point processing, main measurement end zero point processing and judgment of whether the level value deviation of the main measurement end exceeds a set tolerance adjustment range, electric signal zero point compensation is carried out if the level value deviation is within a preset tolerance range, the level difference value is used as compensation quantity, and an alarm is given if the level value deviation exceeds the tolerance range.
The checking command processing comprises checking command judgment and function checking, and if the checking command exists, the following function checking is carried out: sensitivity inspection, noise inspection, communication inspection, zero point inspection, mean area inspection, zero point processing, and cutter inspection. The inspection command is sent by the upper computer according to the man-machine interaction result, and the monitoring device executes the inspection command after receiving the command and reports the execution result to the upper computer.
The yarn defect type treatment comprises the following steps: the method comprises the following steps of carrying out false count treatment, yarn hairiness treatment, TL1 yarn defect treatment, TL2 yarn defect treatment, TL3 yarn defect treatment, TL4 yarn defect treatment, TL5 yarn defect treatment, TL6 yarn defect treatment, TX1 yarn defect treatment, TX2 yarn defect treatment and TX3 yarn defect treatment.
The invention can achieve the following beneficial effects: the photoelectric module with the two optical channels of the main measuring end and the comparison end is adopted to realize the comparison of electric signals, the work of the main measuring sensor can be monitored in real time, the main measuring sensor is ensured to work in an ideal state, the compensation or the alarm of the electric signals can be carried out according to the comparison difference value, the measuring precision and the measuring speed are improved, and the multi-parameter testing of the yarn quality is realized.
Drawings
FIG. 1 is a schematic block diagram of a monitoring device for use with the method of the present invention.
FIG. 2 is a schematic diagram of the structure of the optoelectronic module used in the method of the present invention.
Fig. 3 is a flow chart of the static operating state of the present invention.
FIG. 4 is a flow chart of the dynamic tracking state of the present invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and the described embodiments are illustrative and explanatory of the invention and do not constitute a limitation of the invention.
As shown in figure 1, the method of the invention mainly uses a monitoring device which is composed of an ARM processor, a zero point adjustment control module, a photoelectric module, a power supply system module, two LED indicator lamps of LED R and LED G and a cutter mechanism, the ARM processors of a plurality of monitoring devices are in signal connection with an upper computer to form a monitoring system, and corresponding control software is installed on the upper computer and the ARM processors. The upper computer mainly performs man-machine interaction, realizes the purpose of sending commands to the lower computer, receives yarn processing data of the lower computer, and stores and classifies the data; the ARM is a core device of the invention and mainly completes yarn signal processing. The power system module is connected with the ARM processor to provide power energy for the monitoring device, and the power system module comprises 5V, 3.3V digital and 3.3V analog power supplies. The cutter mechanism is controlled by the ARM processor through a cutter control system; the cutter mechanism cuts off the yarn according to the working requirement. And the LED R and the LED G are controlled to be on and off by the ARM processor. The LED R indicator lamp is controlled by a red lamp, the alarm state of the indicating device is controlled by a green lamp, the running state of the yarn is indicated, and the LED R indicator lamp and the LED G indicator lamp jointly indicate the action state of the cutter.
As shown in fig. 2, the optoelectronic module includes an emitting tube 1 and two receiving tubes, the two receiving tubes are a first receiving tube 3 and a second receiving tube 2, the two receiving tubes are separated by a housing 6 and a partition plate 7 to form two independent light channels, each light channel is provided with a light flux adjusting valve and one receiving tube, the two light flux adjusting valves are a first light flux adjusting valve 5 and a second light flux adjusting valve 4, light emitted by the emitting tube 1 is irradiated to the receiving tubes through the two light channels to generate optoelectronic signals, one light channel of the first receiving tube 3 is set as a main measuring end, one light channel of the second receiving tube 2 is set as a contrast end, a yarn channel 8 perpendicular to the light channel is set in the light channel of the main measuring end, so that the yarn to be detected shields the light irradiated to the first receiving tube 3 through the light channel of the main measuring end. The ARM processor is in signal connection with the zero point adjustment control module, the first receiving tube 3 at the main testing end and the second receiving tube 2 at the comparison end are respectively connected with the ARM processor through a signal processing circuit, and the ARM processor is used for carrying out data transmission and processing to realize control over the zero point adjustment control module and the photoelectric module. And controlling the current of the transmitting tube by using a zero point adjustment control module. The signal processing circuit connected with the first receiving tube 3 at the main measuring end has the following signal processing processes: first stage amplification is carried out to finish the sine wave amplification of the main test signal; detecting again, and carrying out envelope detection on the main detected sine wave signal; then, performing secondary amplification, namely amplifying the main direct current signal; then the signal is divided into two paths, one path is subjected to program control amplification, the other path is sent to ARM for AD conversion, the gain value of the amplifier is adjusted by the program control amplification according to the set yarn variety and the first mean value test data, yarn signal normalization processing is realized, the amplified voltage is sent to ARM for AD conversion, and digital processing is completed. The signal processing circuit connected with the second receiving tube 2 at the comparison end has the following signal processing processes: the method comprises the steps of first-stage amplification, finishing sine wave amplification of a signal at a comparison end, then detecting, carrying out envelope detection on the sine wave signal at the comparison end, then carrying out second-stage amplification, amplifying a direct current signal at the comparison end, and sending the amplified direct current signal to an ARM (advanced RISC machine) for AD (analog-to-digital) conversion.
Before the monitoring system is used for the first time, the photoelectric module is debugged, and the current of the transmitting tube is controlled by the zero point adjustment control module so as to set the luminous flux which enables the photoelectric signal level value of the receiving tube to reach the set zero point; the first light flux adjusting valve 5 and the second light flux adjusting valve 4 are adjusted to enable the levels obtained by the first receiving tube 3 and the second receiving tube 2 to be equal, and the first light flux adjusting valve 5 and the second light flux adjusting valve 4 are sealed and fixed after debugging is completed. When no yarn passes through the yarn channel 8, the level values of the electric signals generated by the main measuring end and the comparison end deviate, if the level value deviation is within a preset tolerance range, the electric signal compensation is carried out, the level difference is used as a compensation quantity, and if the level difference exceeds the tolerance range, an alarm is given. The monitoring process is divided into a static working state and a dynamic tracking state according to whether the yarn moves or not, and the monitoring is operated according to the following steps and is controlled by the control software to automatically switch each time the yarn is started.
The first step, automatically entering a static working state, mainly under the condition that the yarn is not in a running state, the function to be completed by the device software, communicating the upper computer with the ARM processor, and sequentially executing the following steps according to the flow shown in the figure 3 by the software: initializing static work, waiting for address allocation, judging whether the address is allocated or not, if not, returning to the address allocation, entering threshold processing, zero compensation processing, static yarn defect processing, communication processing, inspection command processing, judging the running state of the yarn, judging whether the yarn signal enters the dynamic state or not, otherwise, returning to the zero compensation processing, entering the yarn tracking state, and setting a dynamic mark; the static yarn defect treatment is completed, and meanwhile, the LED treatment, the key treatment and the alarm treatment are completed. The static work initialization is related mark setting, CPU function unit definition, and starting AD conversion of a comparison end and a main test end, and comprises the following functions: start flag, initialize variables, initialize timer 1, initialize timer 2, start AD1, start AD 2. The addresses are distributed by the upper computer according to the positions of the monitoring devices on the equipment and are associated with the positions of the equipment, so that the multiple devices are ensured to have different addresses, and management is facilitated. The threshold processing is set by an upper computer and transmitted to the device, and is the basis for removing yarn faults in each channel. The zero compensation processing comprises comparison end zero processing, main measurement end zero processing, and judgment of whether the level value deviation of the main measurement end exceeds the set tolerance adjustment range, wherein after AD conversion data processing of the comparison end and the main measurement end, two groups of AD values are processed and compared, if the level value deviation is within the preset tolerance range, the electric signal zero compensation is carried out, the level difference value is used as compensation quantity, and if the level value deviation exceeds the tolerance range, an alarm is given. The LED processing is to control the on and off of the LED R indicator light and the LED G indicator light according to the requirement of the working state of the indicating device. The static yarn fault treatment is to detect whether the yarn knots meet the set requirements. The key processing function is to complete the reset of the device, adjust the zero point for the short press as the requirement, retest the mean value for the long press as the requirement, and the LED is matched with the indication of two key states. The alarm processing can realize zero point alarm, dust accumulation alarm, communication alarm, CV value alarm and hairiness alarm; the communication processing is to communicate with the upper computer, transmit the threshold and command of the upper computer and report the yarn processing result. The checking command processing comprises checking command judgment and function checking, and if the checking command exists, the following function checking is carried out: sensitivity inspection, noise inspection, communication inspection, zero point inspection, mean area inspection, zero point processing, and cutter inspection. The inspection command is sent by the upper computer according to the man-machine interaction result, and the monitoring device executes the inspection command after receiving the command and reports the execution result to the upper computer. The yarn dynamic judgment is to judge whether yarn is thrown or not and whether the yarn is moving or not, and if the yarn is moving, the software flow is switched to a dynamic tracking state.
And secondly, dynamically judging and monitoring the motion of the yarns, entering a dynamic tracking state when the yarn signals enter the dynamic state, and sequentially executing the following steps according to the flow shown in the figure 4 through software: dynamic tracking initialization, reading two groups of AD values, judging whether the yarn enters for the first time, if so, entering primary mean processing and gain adjustment, otherwise, judging the running state of the yarn, judging whether the yarn signal enters a static state, if so, entering a static working state, otherwise, entering yarn signal compensation, processing common yarn defect types, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after cutter processing is completed, otherwise, carrying out PC yarn defect processing, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after cutter processing is completed, otherwise, entering mean tracking, CV value processing, yield statistics and communication processing; the dynamic tracking initialization comprises the following functions: initializing timer 1, initializing timer 2, starting AD1, starting AD 2. The yarn defect type treatment comprises the following steps: the method comprises the following steps of carrying out false count treatment, yarn hairiness treatment, TL1 yarn defect treatment, TL2 yarn defect treatment, TL3 yarn defect treatment, TL4 yarn defect treatment, TL5 yarn defect treatment, TL6 yarn defect treatment, TX1 yarn defect treatment, TX2 yarn defect treatment and TX3 yarn defect treatment.
Claims (4)
1. A yarn quality on-line monitoring method uses a monitoring device mainly composed of an ARM processor, a zero point adjustment control module, a photoelectric module, a power supply system module, two LED indicator lamps and a cutter mechanism, wherein the ARM processors of a plurality of monitoring devices are in signal connection with an upper computer to form the monitoring system; the method is characterized in that: the photoelectric module comprises a transmitting tube and two receiving tubes, two independent optical channels are formed by a shell and a partition plate in a separating and enclosing mode, each optical channel is provided with a luminous flux regulating valve and one receiving tube, light emitted by the transmitting tube irradiates the receiving tubes through the two optical channels to generate photoelectric signals, one optical channel serves as a main measuring end, the other optical channel serves as a comparison end, a yarn channel is arranged in the optical channel of the main measuring end, and the yarn to be detected shields the light irradiating the receiving tubes of the main measuring end through the optical channel of the main measuring end; the ARM processor is in signal connection with the zero point adjustment control module, the main measurement end receiving tube and the comparison end receiving tube are respectively connected with the ARM processor through a signal processing circuit, and the ARM processor is used for data transmission and processing to realize control over the zero point adjustment control module and the photoelectric module; the current of the transmitting tube is controlled by using a zero point adjustment control module; before the monitoring system is used for the first time, the photoelectric module is debugged, and the current of the transmitting tube is controlled by the zero point adjustment control module, so that the photoelectric signal level value of the receiving tube reaches the luminous flux of a set zero point; adjusting light flux adjusting valves on a main measurement end light channel and a comparison end light channel to enable the levels obtained by two receiving tubes on the main measurement end light channel and the comparison end light channel to be equal, and after debugging is completed, sealing and fixing the two light flux adjusting valves; when no yarn passes through the yarn channel, the level values of the electric signals generated by the main measuring end and the comparison end deviate, if the level value deviation is within a preset tolerance range, the electric signal compensation is carried out, the level difference value is used as a compensation quantity, and if the level value deviation exceeds the tolerance range, an alarm is given; the monitoring process is divided into a static working state and a dynamic tracking state according to whether the yarn moves, and the monitoring is operated according to the following steps and is controlled by the control software to automatically switch when being started each time:
the method comprises the following steps that firstly, a static working state is automatically entered, an upper computer is communicated with an ARM processor, and the following processes are sequentially executed through software: initializing static work, waiting for address allocation, judging whether the address is allocated or not, if not, returning to the address allocation, entering threshold processing, zero compensation processing, static yarn defect processing, communication processing, inspection command processing, judging the running state of the yarn, judging whether the yarn signal enters the dynamic state or not, otherwise, returning to the zero compensation processing, entering the yarn tracking state, and setting a dynamic mark; finishing key processing, LED processing and alarm processing while finishing static yarn defect processing; the static work initialization is related mark setting, CPU function unit definition, and starting AD conversion of a comparison end and a main test end, and comprises the following functions: setting a start mark, initializing variables, initializing a timer 1, initializing a timer 2, starting AD1 and starting AD 2;
secondly, dynamically judging and monitoring the motion of the yarn, entering a dynamic tracking state when a yarn signal enters the dynamic state, and sequentially executing the following processes through software: dynamic tracking initialization, reading two groups of AD values, judging whether the yarn enters for the first time, if so, entering primary mean processing and gain adjustment, otherwise, judging the running state of the yarn, judging whether the yarn signal enters the static state, if so, entering the static working state, otherwise, entering yarn signal compensation, processing common yarn defect types, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after the cutter processing is finished, otherwise, carrying out PC yarn defect processing, judging whether the yarn defect exists, if so, entering yarn defect placement, cutter mark and cutter processing, returning to the dynamic tracking state to start after the cutter processing is finished, and otherwise, sequentially entering mean tracking, CV value processing, dynamic LED processing, yield statistics and communication processing; the dynamic tracking initialization comprises the following functions: initializing timer 1, initializing timer 2, starting AD1, starting AD 2.
2. The yarn quality on-line monitoring method according to claim 1, characterized in that: the zero point compensation processing comprises comparison end zero point processing, main measurement end zero point processing and judgment of whether the level value deviation of the main measurement end exceeds a set tolerance adjustment range, electric signal zero point compensation is carried out if the level value deviation is within a preset tolerance range, the level difference value is used as compensation quantity, and an alarm is given if the level value deviation exceeds the tolerance range.
3. The yarn quality on-line monitoring method according to claim 1, characterized in that: the checking command processing comprises checking command judgment and function checking, and if the checking command exists, the following function checking is carried out: sensitivity inspection, noise inspection, communication inspection, zero point inspection, mean area inspection, zero point processing, and cutter inspection.
4. The yarn quality on-line monitoring method according to claim 1, characterized in that: the yarn defect type treatment comprises the following steps: the method comprises the following steps of carrying out false count treatment, yarn hairiness treatment, TL1 yarn defect treatment, TL2 yarn defect treatment, TL3 yarn defect treatment, TL4 yarn defect treatment, TL5 yarn defect treatment, TL6 yarn defect treatment, TX1 yarn defect treatment, TX2 yarn defect treatment and TX3 yarn defect treatment.
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| GB8617447D0 (en) * | 1986-07-17 | 1986-08-28 | Brierley Ltd John L | Yarn clearers |
| JPH0598527A (en) * | 1991-09-30 | 1993-04-20 | Kazuhiko Okuda | Yarn defect detector mainly in thick place or in thin place |
| WO2007010325A1 (en) * | 2005-07-22 | 2007-01-25 | Premier Evolvics Pvt. Ltd. | Detecting foreign substances in a textile material |
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