CN110093715A - Condition detecting system and condition detection method - Google Patents
Condition detecting system and condition detection method Download PDFInfo
- Publication number
- CN110093715A CN110093715A CN201811570995.XA CN201811570995A CN110093715A CN 110093715 A CN110093715 A CN 110093715A CN 201811570995 A CN201811570995 A CN 201811570995A CN 110093715 A CN110093715 A CN 110093715A
- Authority
- CN
- China
- Prior art keywords
- module
- signal
- voltage signal
- arm processor
- cutter head
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 53
- 238000009940 knitting Methods 0.000 claims abstract description 17
- 230000033001 locomotion Effects 0.000 claims abstract description 14
- 230000009471 action Effects 0.000 claims description 18
- 230000003321 amplification Effects 0.000 claims description 18
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000012360 testing method Methods 0.000 claims description 7
- 230000004913 activation Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000009191 jumping Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 238000000465 moulding Methods 0.000 claims 2
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 239000000919 ceramic Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000005669 field effect Effects 0.000 description 1
- 230000004886 head movement Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Looms (AREA)
Abstract
The invention discloses a kind of condition detecting systems, are applied to weft-knitting machine, comprising: drive module;Arm processor module;Serial transceiver module;Drive detection module;Vibration signal for detecting the vibration signal generated when cutter head work, and is converted into second voltage signal by cutter head motion detection module;Pwm signal for receiving the pwm signal sent from arm processor, and is converted into tertiary voltage signal by comparison signal control module;Comparison circuit module, it sends for receiving from the second voltage signal of cutter head motion detection module and the tertiary voltage signal of comparison signal control module, and second voltage signal and tertiary voltage signal are compared, and comparing result is sent to arm processor module.The invention has the beneficial effects that the condition detecting system provided further increases the efficiency of state-detection by way of two close cycles state-detection.
Description
Technical field
The present invention relates to a kind of condition detecting system and condition detection methods.
Background technique
The slide cam selector control system of the weft-knitting machine of existing market is opened loop control mostly, when needle selecting drive circuit damages
When bad or needle selector tool bit and shell mechanical part exception or damage, slide cam selector control system can not detect such shape
State, circular weft knitting machine are still within woven condition, this will will lead to needle selector tool bit and act not in place or cutter head power
Holding does not live.Go out needle exception so as to cause knitting machine, leads to fabric defects.
Summary of the invention
To solve the deficiencies in the prior art, the present invention provides a kind of condition detecting system to solve the above problems and states
Detection method.
In order to achieve the above objectives, the present invention adopts the following technical scheme that:
A kind of condition detecting system is applied to weft-knitting machine, and condition detecting system includes: drive module, drive module
For driving cutter head;Arm processor module, arm processor module is for controlling drive module to realize driving cutter head;It is serial to receive
Device module is sent out, serial transceiver module is used to for the first differential transmission signals received from weft-knitting machine to be converted into ARM processing
The driving signal that device module can identify is sent to arm processor module, and by the feedback signal received from arm processor module
It is converted into the second differential transmission signals and is sent to weft-knitting machine;Detection module is driven, driving detection module is for detecting driving
Activation bit is simultaneously converted into first voltage signal to be sent to arm processor module by the activation bit of module;Cutter head movement inspection
Survey module, the vibration signal that generates when cutter head motion detection module is used to detect cutter head work, and vibration signal is converted into the
Two voltage signals;Comparison signal control module, comparison signal control module are used to receive the pwm signal sent from arm processor,
And pwm signal is converted into tertiary voltage signal;Comparison circuit module, comparison circuit module are acted for receiving to send from cutter head
The second voltage signal of detection module and the tertiary voltage signal of comparison signal control module, and to second voltage signal and third
Voltage signal compares, and comparing result is sent to arm processor module.
Further, condition detecting system further include: action signal amplification module, action signal amplification module is for receiving
The second voltage signal from cutter head motion detection module is sent, and second voltage signal is zoomed into the 4th voltage signal;Compare
Circuit module receives the tertiary voltage sent from the 4th voltage signal and comparison signal control module of action signal amplification module
Signal, and the 4th voltage signal and tertiary voltage signal are compared, and comparing result is sent to arm processor module.
Further, comparing result is sent to the external interrupt mouth of arm processor module by comparison circuit module.
Further, when comparison circuit module relatively after obtain the 4th voltage signal received from action signal amplification module
Greater than the tertiary voltage signal received from comparison signal control module, a high level is exported into the outside of arm processor module
Fracture.
Further, condition detecting system further include: driving signal adjustment module, driving signal adjustment module is for receiving
It sends from the first voltage signal for driving detection module, and the size of first voltage signal is adjusted to be suitable for by arm processor
The range that module receives and processes.
A kind of condition detection method is applied to condition detecting system;The step of condition detection method includes: S1:ARM processing
Device module detects whether to receive serial data;S2: when S1 testing result is string yes, that the detection of arm processor module receives
Whether row data include information for driving cutter head;S3: when S2 testing result is yes, arm processor module control driving mould
Block drives cutter head;
S4: when arm processor module control drive module driving cutter head, arm processor module exports PMW value to comparing
Signal control module;Whether S5:ARM processor module, which judges to receive in predetermined time t, sends from the outer of comparison circuit module
Portion's interrupt signal, when the judgment result is yes, then decision-making system normal operation, when the judgment result is no, then decision-making system is transported
Row is abnormal;S6: when arm processor module control drive module driving cutter head, RAM processor module, which receives, to be sent from driving inspection
Survey the first voltage of module;S7:ARM processor module judges that first voltage whether within the scope of normal sample, works as judging result
When to be, then decision-making system normal operation, when the judgment result is no, then decision-making system is operating abnormally.
Further, when the judging result of S5 and S7 is normal operation, then it represents that system normal operation;As S5 and S7
Judging result at least one for be operating abnormally when, then it represents that system be operating abnormally.
Further, S7 further comprises: S71: when S7 judging result, which is, is, sample count values add 1;S72: judgement
When whether sample count values are greater than preset value n, the then decision-making system normal operation when judging that sample count values are greater than preset value n.
Further, S7 further comprises: S73: when S7 judging result is no, error count adds 1;S74: judgement
Whether errors number value is greater than preset value m, and when judging that sample count values are greater than preset value m, then decision-making system is operating abnormally.
Further, S74 further comprises: when judging that sample count values are less than or equal to preset value m, jumping to
S71: sample count values add 1.
The invention has the beneficial effects that the condition detecting system and condition detection method that provide are examined by two close cycles state
The mode of survey further increases the efficiency of state-detection.
Detailed description of the invention
Fig. 1 is the schematic diagram of condition detecting system of the invention;
Fig. 2 is the schematic diagram of condition detection method of the invention;
Fig. 3 is of the invention for determining the schematic diagram of PWM value and the self-teaching of t.
Specific embodiment
Specific introduce is made to the present invention below in conjunction with the drawings and specific embodiments.
As shown in Figure 1 it is a kind of condition detecting system of the invention, is applied to weft-knitting machine, the condition detecting system packet
Include: drive module 1, arm processor module 2, serial transceiver module 3, driving detection module 4, cutter head motion detection module 5,
Comparison signal control module 6 and comparison circuit module 7.
Specifically, drive module 1 is for driving cutter head, particular circuit configurations and the slide cam selector type of drive module 1 have
It closes, can be the driving circuit of optocoupler composition, be also possible to the driving circuit of triode or field-effect tube composition.Drive module
1 output can connect piezoelectric ceramics, and the driving mechanisms such as coil can control 8 knives, 10 knives, 12 knives, the slide cam selector of the knives number such as 16 knives.ARM
Processor module 2 is for controlling drive module 1 to realize driving cutter head.Serial transceiver module 3 is used for will be received from weft-knitted needle
The driving signal that first differential transmission signals of loom are converted into arm processor module 2 and can identify is sent to arm processor mould
Block 2, and the feedback signal received from arm processor module 2 is converted into the second differential transmission signals and is sent to weft-knitting machine.
Driving detection module 4 is used to detect the activation bit of drive module 1 and activation bit is converted into first voltage signal to send
To arm processor module 2.When 1 short circuit of drive module, open circuit or driving mechanism failure (piezoelectric ceramic piece damage, coil
Short circuit, coil short) when, the signals such as electric current that driving detection module 4 detects are different from numerical value when operating normally, driving detection
Module 4 is according to specific driving mechanism, it may include separated by direct communication circuit, electric current turn potential circuit, photoelectric isolating circuit etc., driving inspection
It surveys module 4 and the information detected is finally converted into voltage signal, and be input in arm processor module 2 I/O port where DAC.
Cutter head motion detection module 5 is used to detect the vibration signal generated when cutter head work, and vibration signal is converted into second voltage
Signal.When needle selector tool bit hits slide cam selector baffle, vibration signal can be generated, cutter head motion detection module 5 is used to obtain vibration
The electric signal of sensor output, and the vibration signal that will test is converted into voltage signal.Comparison signal control module 6 is for connecing
The pwm signal from arm processor is transmitted and received, and pwm signal is converted into tertiary voltage signal.The I/O port of arm processor module 2
Pwm signal is generated, pwm signal is input to the voltage that respective magnitudes are generated in comparison signal control module 6, by changing PWM letter
Duty ratio in number can control the voltage swing of the output of comparison signal control module 6.Comparison circuit module 7 is for receiving hair
The tertiary voltage signal of the second voltage signal and comparison signal control module 6 from cutter head motion detection module 5 is sent, and to second
Voltage signal and tertiary voltage signal compare, and comparing result is sent to arm processor module 2, comparison circuit module 7
It can be and be made of operational amplification circuit.
Further, condition detecting system further include: action signal amplification module 8.Action signal amplification module 8 is for connecing
The second voltage signal from cutter head motion detection module 5 is transmitted and received, and second voltage signal is zoomed into the 4th voltage signal.Than
The third sent from the 4th voltage signal and comparison signal control module 6 of action signal amplification module 8 is received compared with circuit module 7
Voltage signal, and the 4th voltage signal and tertiary voltage signal are compared, and comparing result is sent to arm processor mould
Block 2.
Specifically, vibration signal is smaller by the voltage signal magnitude that cutter head motion detection module 5 exports, need to carry out
The amplification of voltage, action signal amplification module 8 can be operational amplification circuit or voltage amplification chip.
Further, comparing result is sent to the external interrupt mouth of arm processor module 2 by comparison circuit module 7.
Further, when comparison circuit module 7 relatively after obtain received from action signal amplification module 8 the 4th voltage letter
Number be greater than the tertiary voltage signal received from comparison signal control module 6, one high level of output to arm processor module 2 it is outer
Fracture in portion.
Specifically, obtaining the 4th voltage signal received from action signal amplification module 8 when comparison circuit module 7 compares
Greater than the tertiary voltage signal received from comparison signal control module 6, then a high level is exported to arm processor module 2
External interrupt mouth then judges system normal operation when arm processor module 2 receives the high level signal.
Further, condition detecting system further include: driving signal adjustment module 9, driving signal adjustment module 9 is for connecing
It transmits and receives from the first voltage signal for driving detection module 4, and the size of first voltage signal is adjusted to be suitable for being handled by ARM
The range that device module 2 receives and processes.
Specifically, the first voltage signal that driving detection module 4 exports is general excessive or too small, so that being unsuitable for ARM
The identification of processor module 2 and processing need to zoom in or out into the first voltage signal by driving signal adjustment module 9 suitable
In the range received and processed by arm processor module 2.
As described in Figure 2, the invention also discloses a kind of condition detection methods, applied to above-mentioned condition detecting system.Shape
The step of state detection method includes:
S1:ARM processor module 2 detects whether to receive serial data.Only when weft-knitting machine sends serial data
To arm processor module 2, arm processor module 2 does specific works according to serial data.
S2: when S1 testing result be it is yes, arm processor module 2 detects whether the serial data that receives includes for driving
The information of dynamic cutter head.Weft-knitting machine sends serial data and is not all for driving cutter head, only when including in serial data
When for driving the instruction of cutter head, 2 ability of arm processor module drives cutter head according to instruction control drive module 1.
S3: when S2 testing result is yes, the control driving cutter head of drive module 1 of arm processor module 2.
S4: when arm processor module 2, which controls drive module 1, drives cutter head, arm processor module 2 exports PMW value extremely
Comparison signal control module 6.Arm processor sends corresponding PMW value to comparison signal according to the cutter head currently driven and controls
The PWM value is converted into corresponding first voltage signal by module 6, comparison signal control module 6.
S5:ARM processor module 2 judges whether to receive transmission in predetermined time t from the outside of comparison circuit module 7
Break signal, when the judgment result is yes, then decision-making system normal operation, when the judgment result is no, then decision-making system operation is different
Often.According to described previously, when cutter head operates normally, the second voltage signal that comparison circuit module 7 receives will be greater than the first electricity
Signal is pressed, comparison circuit module 7 exports the middle fracture of high level to arm processor module 2.
S6: when arm processor module 2, which controls drive module 1, drives cutter head, arm processor module 2, which receives, sends self-powered
The first voltage signal of dynamic detection module 4.
S7:ARM processor module 2 judges first voltage signal whether within the scope of normal sample, when judging result is yes
When, then decision-making system normal operation, when the judgment result is no, then decision-making system is operating abnormally.Generally, normal sample range is
2.4V to 2.6V, when the value of first voltage signal is when within 2.4V to 2.6V, then it is assumed that system normal operation.
Further, when the judging result of S5 and S7 is normal operation, then it represents that system normal operation.As S5 and S7
Judging result at least one for be operating abnormally when, then it represents that system be operating abnormally.
Specifically, in the present system, the efficiency and accuracy rate of state-detection are improved by the way of double closed loop, only
Have when the judging result of S5 and S7 is normal operation, then it represents that system normal operation.
Further, S7 further comprises: S71: when S7 judging result, which is, is, sample count values add 1.S72: judgement
When whether sample count values are greater than preset value n, the then decision-making system normal operation when judging that sample count values are greater than preset value n.
Further, S7 further comprises: S73: when S7 judging result is no, error count adds 1.S74: judgement
Whether errors number value is greater than preset value m, and when judging that sample count values are greater than preset value m, then decision-making system is operating abnormally.
Further, S74 further comprises: when judging that sample count values are less than or equal to preset value m, jumping to
S71: sample count values add 1.
Above step is used to improve the serious forgiveness of system, general n 8-12, m 6-10, and n > m, in the present embodiment,
N is 10, m 8.
The slide cam selector quantity of weft-knitting machine is various, and the vibration signal that each slide cam selector generates is different from, while every
The waveform generated under the two states (stamp and lay) of blade action is not also identical, corresponding duty ratio PWM value and vibration letter
The setting of number time is also not quite similar, and therefore, it is necessary to carry out detecing wrong self-teaching determining every PWM value and phase knife output
T between seasonable.The mechanism for detecing wrong self-teaching is to before weft-knitting machine works, allow slide cam selector itself according to designated program
It is acted, in continuous action process, finds the most suitable duty ratio PWM under oneself all cutter head difference action state
The time period t that value and feedback signal occur, and its parameter is written in ARM chip interior FLASH, it works in weft-knitting machine
When, the value in the address of these parameters is directly read, carries out corresponding setting and detection according to wrong jacquard weave program is detectd.This method
Design need to only carry out self-teaching one time so that any one band detects the slide cam selector of wrong function after programming process sequence
Wrong loop selection is detectd in completion, the process excessively complicated without operator.
As shown in figure 3, parameter initialization mainly include to stamp and lay duty ratio, the time stamped and laid initialization
Clear 0.Since the first knife, setting dutyfactor value is to be stamped and laid under each duty ratio and is dynamic between 60% to 80%
Make, action command issues, and opens FTM1 timer, and the sufficiently long time that is delayed waits all external interrupt triggerings to finish, external
Interruption logging enters the number of interruption, and only only once the duty of external interrupt triggering when enters the time interrupted to record, and
It records respectively.And the average value of duty ratio is accordingly sought, shortest time and maximum duration into the time of interruption, finally
It is stored in FLASH.
The basic principles, main features and advantages of the invention have been shown and described above.The technical staff of the industry should
Understand, the above embodiments do not limit the invention in any form, all obtained by the way of equivalent substitution or equivalent transformation
Technical solution is fallen within the scope of protection of the present invention.
Claims (10)
1. a kind of condition detecting system is applied to weft-knitting machine, which is characterized in that the condition detecting system includes: driving
Module, the drive module is for driving cutter head;Arm processor module, the arm processor module is for controlling the driving
Module is to realize driving cutter head;Serial transceiver module, the serial transceiver module is used for will be received from the weft-knitting
The driving signal that first differential transmission signals of machine are converted into the arm processor module and can identify is sent at the ARM
Device module is managed, and the feedback signal received from the arm processor module is converted into the second differential transmission signals and is sent to institute
State weft-knitting machine;Detection module is driven, the driving detection module is used to detect the activation bit of the drive module and will
The activation bit is converted into first voltage signal to be sent to the arm processor module;Cutter head motion detection module, it is described
Cutter head motion detection module is used to detect the vibration signal generated when cutter head work, and the vibration signal is converted into the second electricity
Press signal;Comparison signal control module, the comparison signal control module are used to receive the PWM sent from the arm processor
Signal, and the pwm signal is converted into tertiary voltage signal;Comparison circuit module, the comparison circuit module is for receiving
It sends from the second voltage signal of the cutter head motion detection module and the tertiary voltage signal of the comparison signal control module,
And the second voltage signal and the tertiary voltage signal are compared, and comparing result is sent to the ARM and is handled
Device module.
2. condition detecting system according to claim 1, which is characterized in that
The condition detecting system further include: action signal amplification module, the action signal amplification module are sent for receiving
The 4th voltage signal is zoomed into from the second voltage signal of the cutter head motion detection module, and by the second voltage signal;
The comparison circuit module receives the 4th voltage signal and the comparison signal control sent from the action signal amplification module
The tertiary voltage signal of molding block, and the 4th voltage signal and the tertiary voltage signal are compared, and will comparison
As a result it is sent to the arm processor module.
3. condition detecting system according to claim 2, which is characterized in that
Comparing result is sent to the external interrupt mouth of the arm processor module by the comparison circuit module.
4. condition detecting system according to claim 3, which is characterized in that
When the comparison circuit module relatively after show that the 4th voltage signal received from the action signal amplification module is greater than
Tertiary voltage signal received from the comparison signal control module exports outside a high level to the arm processor module
Fracture in portion.
5. condition detecting system according to claim 1, which is characterized in that
The condition detecting system further include: driving signal adjustment module, the driving signal adjustment module are sent for receiving
From the first voltage signal of the driving detection module, and the size of the first voltage signal is adjusted to suitable for described
The range that arm processor module receives and processes.
6. a kind of condition detection method, which is characterized in that be applied to any condition detecting system of claim 1-5;
The step of condition detection method includes: S1: the arm processor module detects whether to receive serial data;S2: work as S1
Testing result be it is yes, whether the serial data that arm processor module detection receives includes information for driving cutter head;
S3: when S2 testing result is yes, the arm processor module control drive module driving cutter head;S4: at the ARM
When reason device module controls the drive module driving cutter head, the arm processor module exports PMW value to the comparison signal control
Molding block;S5: the arm processor module judges whether to receive transmission in predetermined time t from the comparison circuit module
External interrupt signal, when the judgment result is yes, then decision-making system normal operation, when the judgment result is no, then decision-making system
It is operating abnormally;S6: when the arm processor module controls the drive module driving cutter head, the RAM processor module is connect
Transmit and receive the first voltage signal from the driving detection module;S7: the arm processor module judges the first voltage letter
Number whether within the scope of normal sample, when the judgment result is yes, then decision-making system normal operation, when the judgment result is no,
Then decision-making system is operating abnormally.
7. condition detection method according to claim 6, which is characterized in that
When the judging result of S5 and S7 is normal operation, then it represents that system normal operation;When S5 and S7 judging result extremely
Few one is when being operating abnormally, then it represents that system is operating abnormally.
8. condition detection method according to claim 7, which is characterized in that
S7 further comprises: S71: when S7 judging result, which is, is, sample count values add 1;S72: judge that sample count values are
It is not no when being greater than preset value n, the then decision-making system normal operation when judge sample count values greater than preset value n.
9. condition detection method according to claim 8, which is characterized in that
S7 further comprises: S73: when S7 judging result is no, error count adds 1;S74: time numerical value of judging incorrectly is
No to be greater than preset value m, when judging that sample count values are greater than preset value m, then decision-making system is operating abnormally.
10. condition detection method according to claim 9, which is characterized in that
S74 further comprises: when judging that sample count values are less than or equal to preset value m, jumping to S71: sample count values
Add 1.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811570995.XA CN110093715B (en) | 2018-12-21 | 2018-12-21 | State detection system and state detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811570995.XA CN110093715B (en) | 2018-12-21 | 2018-12-21 | State detection system and state detection method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110093715A true CN110093715A (en) | 2019-08-06 |
CN110093715B CN110093715B (en) | 2024-04-12 |
Family
ID=67443669
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811570995.XA Active CN110093715B (en) | 2018-12-21 | 2018-12-21 | State detection system and state detection method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110093715B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110565259A (en) * | 2019-09-27 | 2019-12-13 | 浙江理工大学 | needle selector state detection system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004244775A (en) * | 2003-02-17 | 2004-09-02 | Precision Fukuhara Works Ltd | Abnormality detection/machine-stopping device in circular knitting machine |
CN203768603U (en) * | 2014-04-16 | 2014-08-13 | 加佳控股集团有限公司 | Needle selector intelligent control device of circular knitting machine |
CN203855775U (en) * | 2014-06-10 | 2014-10-01 | 浙江日发纺织机械股份有限公司 | Broken needle detecting device for underwear machine |
CN108251958A (en) * | 2018-03-30 | 2018-07-06 | 常熟长润智能科技有限公司 | For the power-off compensation system of knitting circular knitting machine |
CN108330605A (en) * | 2018-04-28 | 2018-07-27 | 杭州旭仁纺织机械有限公司 | A kind of circular knitting machine control system for needle selection and control method |
CN108532115A (en) * | 2018-03-30 | 2018-09-14 | 常熟长润智能科技有限公司 | PWM control systems for circular knitting machine control |
CN209854336U (en) * | 2018-12-21 | 2019-12-27 | 浙江理工大学 | State detection device applied to weft knitting machine |
-
2018
- 2018-12-21 CN CN201811570995.XA patent/CN110093715B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004244775A (en) * | 2003-02-17 | 2004-09-02 | Precision Fukuhara Works Ltd | Abnormality detection/machine-stopping device in circular knitting machine |
CN203768603U (en) * | 2014-04-16 | 2014-08-13 | 加佳控股集团有限公司 | Needle selector intelligent control device of circular knitting machine |
CN203855775U (en) * | 2014-06-10 | 2014-10-01 | 浙江日发纺织机械股份有限公司 | Broken needle detecting device for underwear machine |
CN108251958A (en) * | 2018-03-30 | 2018-07-06 | 常熟长润智能科技有限公司 | For the power-off compensation system of knitting circular knitting machine |
CN108532115A (en) * | 2018-03-30 | 2018-09-14 | 常熟长润智能科技有限公司 | PWM control systems for circular knitting machine control |
CN108330605A (en) * | 2018-04-28 | 2018-07-27 | 杭州旭仁纺织机械有限公司 | A kind of circular knitting machine control system for needle selection and control method |
CN209854336U (en) * | 2018-12-21 | 2019-12-27 | 浙江理工大学 | State detection device applied to weft knitting machine |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110565259A (en) * | 2019-09-27 | 2019-12-13 | 浙江理工大学 | needle selector state detection system |
Also Published As
Publication number | Publication date |
---|---|
CN110093715B (en) | 2024-04-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102071519B (en) | Numerical control system for water jet loom | |
CN102677237B (en) | Adaptive photoelectric electronic yarn cleaner | |
CN110093715A (en) | Condition detecting system and condition detection method | |
CN104196517A (en) | Full-automatic control method of mining hydraulic drilling rig | |
CN101441475A (en) | Failure diagnosis device and method of electric control circuit | |
CN105734838A (en) | Sewing machine and monitoring system thereof | |
CN209854336U (en) | State detection device applied to weft knitting machine | |
CN205636046U (en) | Sewing machine and monitored control system thereof | |
CN201035741Y (en) | Distributed data acquisition instrument | |
CN105093096B (en) | A kind of FPGA test device | |
CN104751919A (en) | Rod position display system for nuclear power control rod and anti-jamming display method for nuclear power control rod | |
CN208459847U (en) | A kind of elevator control cabinet test device | |
CN106597944B (en) | A kind of two CSTR controller seamless switch-over system and switching method | |
CN109405867B (en) | Sensor detection control method and system for mobile robot | |
CN102650528A (en) | Security processing system and method | |
CN105891591A (en) | Large-power energy-storage inverter current detection and control system | |
CN102136395A (en) | Automatic device system | |
CN201266121Y (en) | Distributed temperature collection apparatus | |
KR101747955B1 (en) | Security controller, control method thereof, and security system including the same | |
CN214372584U (en) | Intelligent sensor detection device | |
CN109444784A (en) | The quick correction method of fault detector | |
CN111596100A (en) | Intelligent high-altitude wiring device for electrical test and use method | |
CN102419406A (en) | Device and method for broken wire detection for step motor | |
CN104075735A (en) | Self diagnosis method and self diagnosis device for inertia measurement device | |
JP2004046348A (en) | Controller, input circuit therefor, and signal input method of controller |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |