CN110093715B - State detection system and state detection method - Google Patents
State detection system and state detection method Download PDFInfo
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- CN110093715B CN110093715B CN201811570995.XA CN201811570995A CN110093715B CN 110093715 B CN110093715 B CN 110093715B CN 201811570995 A CN201811570995 A CN 201811570995A CN 110093715 B CN110093715 B CN 110093715B
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- 238000001514 detection method Methods 0.000 title claims abstract description 74
- 230000009471 action Effects 0.000 claims abstract description 25
- 238000009940 knitting Methods 0.000 claims abstract description 20
- 238000005070 sampling Methods 0.000 claims description 20
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 5
- 230000007246 mechanism Effects 0.000 description 4
- 230000003321 amplification Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000003199 nucleic acid amplification method Methods 0.000 description 3
- 239000000919 ceramic Substances 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010009 beating Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000005669 field effect Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
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- D—TEXTILES; PAPER
- D04—BRAIDING; LACE-MAKING; KNITTING; TRIMMINGS; NON-WOVEN FABRICS
- D04B—KNITTING
- D04B35/00—Details of, or auxiliary devices incorporated in, knitting machines, not otherwise provided for
- D04B35/10—Indicating, warning, or safety devices, e.g. stop motions
- D04B35/18—Indicating, warning, or safety devices, e.g. stop motions responsive to breakage, misplacement, or malfunctioning of knitting instruments
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
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Abstract
The invention discloses a state detection system, which is applied to a weft knitting machine and comprises: a driving module; ARM processor module; a serial transceiver module; a drive detection module; the tool bit action detection module is used for detecting vibration signals generated when the tool bit works and converting the vibration signals into second voltage signals; the comparison signal control module is used for receiving the PWM signal sent from the ARM processor and converting the PWM signal into a third voltage signal; the comparison circuit module is used for receiving the second voltage signal sent from the cutter head action detection module and the third voltage signal of the comparison signal control module, comparing the second voltage signal with the third voltage signal and sending the comparison result to the ARM processor module. The invention has the advantage that the provided state detection system further improves the efficiency of state detection by a double closed loop state detection mode.
Description
Technical Field
The invention relates to a state detection system and a state detection method.
Background
Most of needle selector control systems of weft knitting machines in the current market are in open loop control, and when a needle selector driving circuit is damaged or a needle selector tool bit and a shell mechanical part are abnormal or damaged, the needle selector control system cannot detect the state, and the circular weft knitting machine is still in a knitting state, so that the needle selector tool bit cannot act in place or a tool bit force is not kept. Thereby causing abnormal needle discharge of the knitting machine and causing fabric defects.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a state detection system and a state detection method for solving the problems.
In order to achieve the above object, the present invention adopts the following technical scheme:
a state detection system is applied to a weft knitting machine, and comprises: the driving module is used for driving the cutter head; the ARM processor module is used for controlling the driving module to drive the cutter head; the serial transceiver module is used for converting the first differential transmission signal received from the weft knitting machine into a driving signal which can be identified by the ARM processor module and sending the driving signal to the ARM processor module, and converting the feedback signal received from the ARM processor module into a second differential transmission signal and sending the second differential transmission signal to the weft knitting machine; the drive detection module is used for detecting drive information of the drive module and converting the drive information into a first voltage signal to be sent to the ARM processor module; the tool bit motion detection module is used for detecting vibration signals generated when the tool bit works and converting the vibration signals into second voltage signals; the comparison signal control module is used for receiving the PWM signal sent from the ARM processor and converting the PWM signal into a third voltage signal; the comparison circuit module is used for receiving the second voltage signal sent from the tool bit action detection module and the third voltage signal of the comparison signal control module, comparing the second voltage signal with the third voltage signal and sending the comparison result to the ARM processor module.
Further, the state detection system further includes: the action signal amplifying module is used for receiving the second voltage signal sent from the tool bit action detecting module and amplifying the second voltage signal into a fourth voltage signal; the comparison circuit module receives and transmits a fourth voltage signal from the action signal amplifying module and a third voltage signal from the comparison signal control module, compares the fourth voltage signal with the third voltage signal, and transmits a comparison result to the ARM processor module.
Further, the comparison circuit module sends the comparison result to an external interrupt of the ARM processor module.
Further, when the comparison circuit module compares the voltage signals, the fourth voltage signal received from the action signal amplifying module is larger than the third voltage signal received from the comparison signal control module, and a high level is output to an external interrupt of the ARM processor module.
Further, the state detection system further includes: the drive signal adjusting module is used for receiving the first voltage signal sent from the drive detecting module and adjusting the size of the first voltage signal to be suitable for being received and processed by the ARM processor module.
A state detection method is applied to a state detection system; the state detection method comprises the following steps: s1: the ARM processor module detects whether serial data is received; s2: when the detection result of the S1 is yes, the ARM processor module detects whether the received serial data contains information for driving the cutter head or not; s3: when the detection result of the S2 is yes, the ARM processor module controls the driving module to drive the cutter head;
s4: when the ARM processor module controls the driving module to drive the cutter head, the ARM processor module outputs a PMW value to the comparison signal control module; s5: the ARM processor module judges whether an external interrupt signal sent from the comparison circuit module is received within a preset time t, if yes, the system is judged to be normal in operation, and if no, the system is judged to be abnormal in operation; s6: when the ARM processor module controls the driving module to drive the cutter head, the RAM processor module receives the first voltage sent from the driving detection module; s7: the ARM processor module judges whether the first voltage is in a normal sampling range, if yes, the system is judged to be normal in operation, and if no, the system is judged to be abnormal in operation.
Further, when the judging results of the S5 and the S7 are both normal, the system is indicated to be normal in operation; and when at least one of the judging results of S5 and S7 is abnormal in operation, indicating that the system is abnormal in operation.
Further, S7 further includes: s71: when the S7 judgment result is yes, the sampling count value is increased by 1; s72: and judging whether the sampling count value is larger than a preset value n, and judging that the system operates normally when the sampling count value is larger than the preset value n.
Further, S7 further includes: s73, when the judgment result of S7 is NO, adding 1 to the error count value; s74: judging whether the error secondary value is larger than a preset value m, and judging that the system is abnormal in operation when the sampling count value is larger than the preset value m.
Further, S74 further includes: when the sampling count value is judged to be less than or equal to the preset value m, the process jumps to S71: the sample count value is incremented by 1.
The invention has the advantages that the provided state detection system and the state detection method further improve the state detection efficiency in a double closed loop state detection mode.
Drawings
FIG. 1 is a schematic diagram of a state detection system of the present invention;
FIG. 2 is a schematic diagram of a state detection method of the present invention;
fig. 3 is a schematic diagram of the self-learning for determining PWM values and t of the present invention.
Detailed Description
The invention is described in detail below with reference to the drawings and the specific embodiments.
As shown in fig. 1, a state detection system of the present invention is applied to a weft knitting machine, and the state detection system includes: the device comprises a driving module 1, an ARM processor module 2, a serial transceiver module 3, a driving detection module 4, a tool bit action detection module 5, a comparison signal control module 6 and a comparison circuit module 7.
Specifically, the driving module 1 is used for driving the tool bit, and the specific circuit structure of the driving module 1 is related to the type of the needle selector, and can be a driving circuit formed by an optical coupler or a driving circuit formed by a triode or a field effect transistor. The output of the driving module 1 can be connected with driving mechanisms such as piezoelectric ceramics, coils and the like, and the needle selector of the number of the cutters such as 8 cutters, 10 cutters, 12 cutters, 16 cutters and the like can be controlled. The ARM processor module 2 is used for controlling the driving module 1 to drive the cutter head. The serial transceiver module 3 is configured to convert a first differential transmission signal received from the weft knitting machine into a driving signal that can be identified by the ARM processor module 2 and send the driving signal to the ARM processor module 2, and convert a feedback signal received from the ARM processor module 2 into a second differential transmission signal and send the second differential transmission signal to the weft knitting machine. The driving detection module 4 is configured to detect driving information of the driving module 1 and convert the driving information into a first voltage signal to send the first voltage signal to the ARM processor module 2. When the circuit of the driving module 1 is short-circuited, broken or the driving mechanism is failed (the piezoelectric ceramic sheet is damaged, the coil is short-circuited), the signals such as the current detected by the driving detection module 4 are different from the numerical values in normal operation, the driving detection module 4 can comprise a cut-off alternating current circuit, a current-to-voltage circuit, a photoelectric isolation circuit and the like according to the specific driving mechanism, and the driving detection module 4 finally converts the detected information into voltage signals and inputs the voltage signals to an IO port where the DAC in the ARM processor module 2 is located. The tool bit motion detection module 5 is used for detecting a vibration signal generated when the tool bit works, and converting the vibration signal into a second voltage signal. When the needle selector cutter head impacts the needle selector baffle, vibration signals are generated, and the cutter head action detection module 5 is used for acquiring electric signals output by the vibration sensor and converting the detected vibration signals into voltage signals. The comparison signal control module 6 is configured to receive the PWM signal sent from the ARM processor and convert the PWM signal into a third voltage signal. The IO port of the ARM processor module 2 generates a PWM signal, the PWM signal is input into the comparison signal control module 6 to generate voltage with corresponding amplitude, and the voltage output by the comparison signal control module 6 can be controlled by changing the duty ratio in the PWM signal. The comparison circuit module 7 is configured to receive the second voltage signal sent from the tool bit motion detection module 5 and the third voltage signal of the comparison signal control module 6, compare the second voltage signal with the third voltage signal, and send the comparison result to the ARM processor module 2, where the comparison circuit module 7 may be composed of an operational amplifier circuit.
Further, the state detection system further includes: an operation signal amplifying module 8. The action signal amplifying module 8 is configured to receive the second voltage signal sent from the tool bit action detecting module 5, and amplify the second voltage signal into a fourth voltage signal. The comparison circuit module 7 receives the fourth voltage signal sent from the action signal amplifying module 8 and the third voltage signal of the comparison signal control module 6, compares the fourth voltage signal with the third voltage signal, and sends the comparison result to the ARM processor module 2.
Specifically, the amplitude of the voltage signal output by the vibration signal through the tool bit motion detection module 5 is small, and the voltage needs to be amplified, and the motion signal amplification module 8 may be an operational amplification circuit or a voltage amplification chip.
Further, the comparison circuit module 7 sends the comparison result to the external interrupt of the ARM processor module 2.
Further, when the comparison circuit module 7 compares that the fourth voltage signal received from the action signal amplifying module 8 is greater than the third voltage signal received from the comparison signal control module 6, a high level is outputted to the external interrupt of the ARM processor module 2.
Specifically, when the comparison circuit module 7 compares that the fourth voltage signal received from the action signal amplifying module 8 is greater than the third voltage signal received from the comparison signal control module 6, a high level is output to the external interrupt port of the ARM processor module 2, and when the ARM processor module 2 receives the high level signal, the system is judged to be operating normally.
Further, the state detection system further includes: the driving signal adjusting module 9, the driving signal adjusting module 9 is configured to receive the first voltage signal sent from the driving detecting module 4, and adjust the magnitude of the first voltage signal to a range suitable for being received and processed by the ARM processor module 2.
Specifically, the first voltage signal output by the drive detection module 4 is typically too large or too small to be suitable for the ARM processor module 2 to recognize and process, and needs to be scaled down or amplified by the drive signal adjustment module 9 to a range suitable for being received and processed by the ARM processor module 2.
As shown in fig. 2, the invention also discloses a state detection method applied to the state detection system. The state detection method comprises the following steps:
s1: the ARM processor module 2 detects whether serial data is received. Only when the weft knitting machine sends serial data to the ARM processor module 2, the ARM processor module 2 does specific work according to the serial data.
S2: when the detection result of S1 is yes, the ARM processor module 2 detects whether the received serial data contains information for driving the cutter head. The weft knitting machine sends serial data not only for driving the cutter head, but also the ARM processor module 2 controls the driving module 1 to drive the cutter head according to the instruction only when the serial data contains the instruction for driving the cutter head.
S3: and when the detection result of the S2 is yes, the ARM processor module 2 controls the driving module 1 to drive the cutter head.
S4: when the ARM processor module 2 controls the driving module 1 to drive the cutter head, the ARM processor module 2 outputs a PMW value to the comparison signal control module 6. The ARM processor sends a corresponding PMW value to the comparison signal control module 6 according to the currently driven cutter head, and the comparison signal control module 6 converts the PWM value into a corresponding first voltage signal.
S5: the ARM processor module 2 judges whether or not the external interrupt signal sent from the comparison circuit module 7 is received within a predetermined time t, and judges that the system is operating normally when the judgment result is yes, and judges that the system is operating abnormally when the judgment result is no. According to the foregoing, when the cutter head is operating normally, the second voltage signal received by the comparing circuit module 7 will be greater than the first voltage signal, and the comparing circuit module 7 outputs a high level to the interrupt port of the ARM processor module 2.
S6: when the ARM processor module 2 controls the driving module 1 to drive the cutter head, the ARM processor module 2 receives the first voltage signal sent from the driving detection module 4.
S7: the ARM processor module 2 judges whether the first voltage signal is in a normal sampling range, if yes, the system is judged to be normal in operation, and if no, the system is judged to be abnormal in operation. Typically, the normal sampling range is 2.4V to 2.6V, and when the value of the first voltage signal is within 2.4V to 2.6V, the system is considered to be operating normally.
Further, when the judgment results of S5 and S7 are both normal, it indicates that the system is normal. And when at least one of the judging results of S5 and S7 is abnormal in operation, indicating that the system is abnormal in operation.
Specifically, in the system, the efficiency and accuracy of state detection are improved by adopting a double closed loop detection mode, and the system is indicated to be in normal operation only when the judgment results of S5 and S7 are in normal operation.
Further, S7 further includes: s71: when the judgment result of S7 is yes, the sampling count value is incremented by 1. S72: and judging whether the sampling count value is larger than a preset value n, and judging that the system operates normally when the sampling count value is larger than the preset value n.
Further, S7 further includes: and S73, when the judgment result of S7 is NO, adding 1 to the error count value. S74: judging whether the error secondary value is larger than a preset value m, and judging that the system is abnormal in operation when the sampling count value is larger than the preset value m.
Further, S74 further includes: when the sampling count value is judged to be less than or equal to the preset value m, the process jumps to S71: the sample count value is incremented by 1.
The above steps are used to increase the fault tolerance of the system, where n is generally 8-12, m is 6-10, and n > m, in this embodiment, n is 10, and m is 8.
The number of needle selectors of the weft knitting machine is numerous, the vibration signals generated by each needle selector are different, waveforms generated under two states (up and down) of each blade action are also different, and the corresponding duty ratio PWM value and the setting of the vibration signal time are also different, so that error detection self-learning is needed to determine the PWM value output by each blade and the corresponding time t. The self-learning mechanism of debug is to make the needle selector act according to the appointed program before the weft knitting machine works, find the most suitable duty ratio PWM value and time period t that the feedback signal appears under the different action states of all its tool bits in the continuous course of action, and write its parameter into ARM chip internal FLASH, when the weft knitting machine works, read the value in the address of these parameters directly, carry on corresponding setting and detection according to the debug jacquard program. The design of the method ensures that any needle selector with the debug function can complete debug jacquard knitting by only self-learning once after the programming process, and the excessive complicated procedures of operators are not required.
As shown in fig. 3, the parameter initialization mainly includes initializing the on and off duty cycles, on and off times with clear 0. Starting from the first knife, setting the duty ratio to be between 60% and 80%, performing the action of beating up and down under each duty ratio, sending out an action instruction, starting an FTM1 timer, delaying for a long enough time to wait for all external interrupt triggers to finish, recording the times of entering the interrupt by the external interrupt, recording the duty ratio triggered by only one external interrupt and the time of entering the interrupt, and recording respectively. And correspondingly calculating the average value of the duty ratio, entering the shortest time and the longest time of the interruption time, and finally storing the shortest time and the longest time into FLASH.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the invention in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the invention.
Claims (8)
1. A condition detection system for use with a weft knitting machine, the condition detection system comprising: the driving module is used for driving the cutter head; the ARM processor module is used for controlling the driving module to drive the cutter head; the serial transceiver module is used for converting a first differential transmission signal received from the weft knitting machine into a driving signal which can be identified by the ARM processor module and sending the driving signal to the ARM processor module, and converting a feedback signal received from the ARM processor module into a second differential transmission signal and sending the second differential transmission signal to the weft knitting machine; the driving detection module is used for detecting driving information of the driving module and converting the driving information into a first voltage signal to be sent to the ARM processor module; the tool bit action detection module is used for detecting vibration signals generated when the tool bit works and converting the vibration signals into second voltage signals; the ARM processor sends a corresponding PWM signal to the comparison signal control module according to the currently driven cutter head, and the comparison signal control module converts the PWM signal into a third voltage signal; the comparison circuit module is used for receiving the second voltage signal sent from the tool bit action detection module and the third voltage signal of the comparison signal control module, comparing the second voltage signal with the third voltage signal and sending a comparison result to the ARM processor module;
the state detection system further includes: the action signal amplifying module is used for receiving the second voltage signal sent from the tool bit action detecting module and amplifying the second voltage signal into a fourth voltage signal; the comparison circuit module receives a fourth voltage signal sent from the action signal amplifying module and a third voltage signal of the comparison signal control module, compares the fourth voltage signal with the third voltage signal, and sends a comparison result to the ARM processor module;
and the comparison circuit module sends the comparison result to an external interrupt port of the ARM processor module.
2. The condition detection system of claim 1, wherein,
and when the comparison circuit module compares the signals to obtain a fourth voltage signal which is received from the action signal amplifying module and is larger than the third voltage signal which is received from the comparison signal control module, outputting a high level to an external interrupt of the ARM processor module.
3. The condition detection system of claim 1, wherein,
the state detection system further includes: and the driving signal adjusting module is used for receiving the first voltage signal sent from the driving detection module and adjusting the magnitude of the first voltage signal into a range suitable for being received and processed by the ARM processor module.
4. A state detection method, characterized by being applied to the state detection system according to any one of claims 1 to 3; the state detection method comprises the following steps: s1: the ARM processor module detects whether serial data is received; s2: when the detection result of the S1 is yes, the ARM processor module detects whether the received serial data contains information for driving the cutter head or not; s3: when the detection result of the S2 is yes, the ARM processor module controls the driving module to drive the cutter head; s4: when the ARM processor module controls the driving module to drive the cutter head, the ARM processor module outputs a PWM value to the comparison signal control module; s5: the ARM processor module judges whether an external interrupt signal sent from the comparison circuit module is received within a preset time t, if yes, the system is judged to be normal in operation, and if no, the system is judged to be abnormal in operation; s6: when the ARM processor module controls the driving module to drive the cutter head, the RAM processor module receives a first voltage signal sent from the driving detection module; s7: and the ARM processor module judges whether the first voltage signal is in a normal sampling range, if so, the system is judged to be normal in operation, and if not, the system is judged to be abnormal in operation.
5. The method for detecting a state according to claim 4, wherein,
when the judging results of the S5 and the S7 are normal, the system is indicated to be normal in operation; and when at least one of the judging results of S5 and S7 is abnormal in operation, indicating that the system is abnormal in operation.
6. The method for detecting a state according to claim 5, wherein,
s7 further comprises: s71: when the S7 judgment result is yes, the sampling count value is increased by 1; s72: judging whether the sampling count value is larger than a preset value n, and judging that the system runs normally when the sampling count value is larger than the preset value n.
7. The method for detecting a state according to claim 6, wherein,
s7 further comprises: s73, when the judgment result of S7 is NO, adding 1 to the error count value; s74: judging whether the error secondary value is larger than a preset value m, and judging that the system is abnormal in operation when the sampling count value is larger than the preset value m.
8. The method for detecting a state according to claim 7, wherein,
s74 further includes: when the sampling count value is judged to be less than or equal to the preset value m, the process jumps to S71: when the judgment result of S7 is yes, the sampling count value is incremented by 1.
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| JP2004244775A (en) * | 2003-02-17 | 2004-09-02 | Precision Fukuhara Works Ltd | Abnormality detection/machine-stopping device in circular knitting machine |
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