CN110093715A - Condition detecting system and condition detection method - Google Patents

Condition detecting system and condition detection method Download PDF

Info

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
Application number
CN201811570995.XA
Other languages
Chinese (zh)
Other versions
CN110093715B (en
Inventor
彭来湖
戴宁
胡旭东
未印
吕明来
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Sci Tech University ZSTU
Original Assignee
Zhejiang Sci Tech University ZSTU
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Sci Tech University ZSTU filed Critical Zhejiang Sci Tech University ZSTU
Priority to CN201811570995.XA priority Critical patent/CN110093715B/en
Publication of CN110093715A publication Critical patent/CN110093715A/en
Application granted granted Critical
Publication of CN110093715B publication Critical patent/CN110093715B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • DTEXTILES; PAPER
    • D04BRAIDING; LACE-MAKING; KNITTING; TRIMMINGS; NON-WOVEN FABRICS
    • D04BKNITTING
    • D04B35/00Details of, or auxiliary devices incorporated in, knitting machines, not otherwise provided for
    • D04B35/10Indicating, warning, or safety devices, e.g. stop motions
    • D04B35/18Indicating, warning, or safety devices, e.g. stop motions responsive to breakage, misplacement, or malfunctioning of knitting instruments
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total 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

Condition detecting system and condition detection method
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.
CN201811570995.XA 2018-12-21 2018-12-21 State detection system and state detection method Active CN110093715B (en)

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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (7)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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