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CN-122007029-A - Knitting needle intelligent detection sorting system based on multi-module communication cooperation

CN122007029ACN 122007029 ACN122007029 ACN 122007029ACN-122007029-A

Abstract

The invention discloses a knitting needle intelligent detection sorting system based on multi-module communication cooperation, which relates to the technical field of knitting needle defect judgment, and is characterized in that a needle tip hook precision detection module and a needle handle shape and position error detection module which are mutually independent are arranged to respectively perform independent data acquisition, processing and local grading preliminary judgment on needle tip hook coaxiality of a knitting needle, a special directional data transmission link between two grading judgment units is established by utilizing a linkage communication unit to realize directional transmission and cross check triggering of data, and a grade linkage constraint is built in to ensure that the grade of a double-module defect only supports peer binding matching, a grading judgment master control unit receives double-module data and performs grade consistency verification, an effective grading sorting instruction or a mark object to be rechecked is generated according to a verification result, and a sorting execution unit completes grading collection and physical separation of the knitting needle according to the instruction.

Inventors

  • FAN ZHIWEN

Assignees

  • 深圳市坤诚电子科技有限公司

Dates

Publication Date
20260512
Application Date
20260204

Claims (9)

  1. 1. The intelligent detection and sorting system for the knitting needles based on multi-module communication cooperation is characterized by comprising a feeding positioning unit, a needle tip hook-shaped precise detection module, a needle handle shape and position error detection module, a linkage communication unit, a grading judgment master control unit and a sorting execution unit; The feeding positioning unit is used for carrying out single sequential conveying and attitude calibration on the knitting needle, so that the knitting needle detection area is aligned with the detection reference of the corresponding detection module; The pinpoint hook precision detection module is used for carrying out non-contact data acquisition and quantification operation on a pinpoint hook region, and completing local preliminary judgment of pinpoint hook defect, slight defect, moderate defect and severe defect through multistage preset thresholds; The needle handle shape and position error detection module is used for carrying out axial multi-point data acquisition and shape and position error operation on the needle handle, and completing local preliminary judgment of needle handle shape and position error without defects, slight defects, moderate defects and severe defects through multistage preset thresholds; The linkage communication unit is used for constructing a directional data transmission channel between the double detection modules, executing corresponding data transmission and cross check triggering according to the preliminary judgment level, and limiting the defect level of the double detection modules to only support the same-level binding matching; The grading judgment total control unit is used for receiving the double-module preliminary judgment data and the cross check data and executing grade consistency check, and generating an effective grading sorting instruction only when the two modules are judged to be consistent in grade, and marking the knitting needle as an object to be rechecked when the grades are inconsistent or the single module has defects; The sorting execution unit is used for completing grading collection and physical separation storage of the knitting needles according to the grading sorting instruction issued by the grading judgment master control unit and the preset defect grade.
  2. 2. The intelligent detection and sorting system for knitting needles based on multi-module communication collaboration according to claim 1, wherein the needle tip hook precision detection module performs non-contact optical data acquisition on a whole area of a needle tip hook, completely acquires shape original data covering a hook tip, an inner curved surface of a hook body and a hook tail connection part, sequentially performs environment interference filtering, signal noise rejection and non-target area redundant data stripping treatment on the original acquired data, retains effective data exclusive to a hook contour, performs continuous curve fitting and integral contour reconstruction on the effective contour data based on a preset standard theoretical hook contour, synchronously calibrates the positions of key nodes of the hook contour, and performs quantitative analysis of hook deformation characteristics by calculating point-to-point displacement difference values of the fitted contour and the reference contour, calculating contour curvature deviation and calculating local contour distortion measurement, and finally extracts to obtain hook deformation quantization parameters consisting of hook tip deformation quantity, hook body integral contour deviation value, hook local distortion amplitude and key contour node offset.
  3. 3. The intelligent detection sorting system for knitting needles based on multi-module communication coordination according to claim 1 is characterized in that a four-level preset deformation judgment threshold system for all quantization parameters of hook tip deformation quantity, hook body overall contour deviation value, hook body local distortion amplitude and key contour node deviation quantity is built in the needle tip hook precision detection module, a defect-free threshold upper limit, a slight defect threshold interval, a moderate defect threshold interval and a severe defect threshold lower limit are respectively set for all the parameters, the extracted hook deformation quantization parameters are matched and checked with four-level thresholds of corresponding parameters one by one in the comparison process, comprehensive judgment is carried out by combining all the parameters, if all the quantization parameters do not exceed the corresponding defect threshold upper limit, the needle tip hook precision detection module judges that the needle tip deformation is defect, if any one of the quantization parameters exceeds the defect-free threshold upper limit but does not reach the moderate defect threshold interval lower limit, and the rest parameters meet the defect-free threshold requirement or are in the slight defect threshold interval, if any one of the quantization parameters reaches the moderate defect threshold interval and does not exceed the moderate defect threshold lower limit, or a plurality of parameters are in the slight defect threshold interval and after the defect threshold interval is overlapped, the needle tip deformation quantization parameters meet the defect grade judgment standard, the defect is overlapped, and the defect is judged that the defect is high, and the quality judgment is judged.
  4. 4. The intelligent needle detection sorting system based on the multi-module communication collaboration is characterized in that the needle handle shape and position error detection module uniformly sets a plurality of detection points along the axial direction of a needle handle of the needle, performs non-contact radial position data acquisition on each point, completely records radial displacement discrete data of each detection point and associates corresponding axial coordinate information, firstly performs outlier rejection and noise filtering treatment on the acquired discrete data, screens out effective data samples, then completes needle handle theoretical reference axis fitting based on the effective samples by adopting a least square method, constructs a reference matched with the axial extension direction of the needle handle, then calculates radial jump quantity statistics of different axial sections through the deviation degree of the actual radial position of each detection point and the reference axis, and completes comprehensive quantization analysis of needle handle shape and position errors by combining integral bending offset calculation of the axis, and finally obtains needle handle coaxiality quantization parameters comprising needle handle coaxiality comprehensive error values, maximum radial offset and axis bending offset.
  5. 5. The intelligent detection and sorting system for knitting needles based on multi-module communication coordination according to claim 4, wherein the needle handle shape and position error detection module completes needle handle theoretical reference axis fitting by a least square method based on an effective sample, and the reference axis fitting is a linear equation Wherein the parameters are fitted 、 Solving through least square criterion to meet objective function Wherein: is the first The axial coordinate values of the needle handle of the detection points, Is the middle (th) Actual radial displacement data of the needle handle at the detection points, To fit the slope of the reference axis, To fit the intercept of the reference axis, In order to detect the bit position number, The total number of the axial detection points of the needle handle is the total number of the axial detection points of the needle handle.
  6. 6. The intelligent detection and sorting system for knitting needles based on multi-module communication coordination according to claim 4, wherein the needle handle shape and position error detection module calculates the radial deviation degree of each detection point position by taking a fitted reference axis as a reference In the following Is the first The radial deviation degree of the actual radial position of the needle handle at each detection point position and the reference axis is further calculated by a coaxiality comprehensive error formula Calculate the coaxiality integrated error of the needle handle, wherein The comprehensive error value of the needle handle coaxiality is obtained by simultaneously counting the maximum value of the radial deviation degrees of all points as the maximum radial deviation value Combining the integral bending offset calculation of the axis to finally obtain the comprehensive error value containing the coaxiality of the needle handle Maximum radial deviation Needle shaft coaxiality quantization parameters of axial bending offset.
  7. 7. The intelligent detection sorting system for knitting needles based on multi-module communication collaboration according to claim 1 is characterized in that the needle handle shape and position error detection module sets corresponding grading thresholds according to various hook shape deformation quantization parameters, corresponds hook tip shape variables, hook body outline total deviation, local distortion amplitude and key outline node offset to a non-defective upper limit threshold, a slight defect interval threshold, a moderate defect interval threshold and a severe defect lower limit threshold respectively, compares various quantization parameters with the corresponding thresholds in a numerical value manner, determines a defect threshold interval to which a single parameter belongs, comprehensively researches and judges the interval attribution of all parameters, judges that the needle handle shape and position error detection module is non-defective when all the parameters do not exceed the non-defective upper limit threshold, judges that the needle handle shape and position error detection module is slightly defective when all the parameters exceed the non-defective upper limit threshold and do not enter the moderate defect interval and all the rest parameters are within the non-defective or slight defect interval, judges that the needle handle shape error detection module is slightly defective when the single parameter falls into the moderate defect interval and the severe defect interval or the rest parameters are within the slight defect interval, judges that the needle handle shape error detection module is moderately defective when any one of the parameters or more than the moderate defect interval and meets comprehensive moderate stacking judgment conditions, judges that the needle handle shape error detection module is fully.
  8. 8. The intelligent detection sorting system for the knitting needles based on the multi-module communication coordination is characterized in that the linkage communication unit establishes a directional data transmission channel of a needle tip hook-shaped precise detection module and a needle handle shape and position error detection module, sets a communication triggering rule and a grade linkage constraint, wherein when any grade judging unit outputs a slight defect preliminary judging result, the quantization parameter and the preliminary judging grade of the needle tip hook-shaped precise detection module are transmitted to another grade judging unit to trigger cross checking operation, when any grade judging unit outputs a moderate defect or severe defect preliminary judging result, the quantization parameter and the preliminary judging grade of the needle tip hook-shaped precise detection module and the needle handle shape and position error detection module are synchronously transmitted to another grade judging unit and a grade linkage control unit, and the linkage communication unit limits the needle tip hook-shaped defect grade and the needle handle coaxiality defect grade to be in a peer binding matching relation through the grade linkage constraint, so that cross grade matching is forbidden.
  9. 9. The intelligent detection and sorting system for knitting needles based on multi-module communication coordination according to claim 1, wherein the grading judgment and control unit receives the local preliminary judgment grade and the cross check data transmitted by the needle tip hook precision detection module and the needle handle shape and position error detection module in real time, synchronously checks and grade consistency checks two groups of data, if the preliminary judgment grade of the two modules is completely matched and the cross check data meets the corresponding grade matching requirement in the checking process, namely, the judgment result is valid, a grading sorting instruction of the corresponding grade is instantly generated and issued to the sorting execution unit, if the judgment grade of the two modules is inconsistent or one module is judged to be defective and the other module is judged to be defective, and the cross check cannot be confirmed to be valid, immediately marks the knitting needle as an object to be re-checked, temporarily does not generate a sorting instruction, simultaneously records related judgment data and check information, and reserves a re-checking basis.

Description

Knitting needle intelligent detection sorting system based on multi-module communication cooperation Technical Field The invention relates to the technical field of knitting needle defect judgment, in particular to a knitting needle intelligent detection sorting system based on multi-module communication cooperation. Background The knitting needle is used as a key accessory in textile machinery, the quality of the knitting needle directly influences the efficiency and the product quality of textile production, the needle point hook shape appearance parameter and the needle handle coaxiality shape parameter of the knitting needle are important indexes for measuring the quality of the knitting needle, the forming and the running of the knitting needle are decisive, the needle point hook shape appearance can ensure that the knitting needle can smoothly hook and release yarns in the knitting process, the needle handle coaxiality can ensure that the knitting needle stably and accurately moves in a knitting needle guide rail, the abrasion and faults are reduced, the stability and the reliability of textile equipment are improved, and therefore, the accurate detection and the effective sorting of the needle point hook shape deformation and the needle handle coaxiality of the knitting needle are key links for ensuring the normal running of the textile machinery and improving the quality of textiles. At present, the detection mode of a knitting needle is mainly divided into two types of manual detection and automatic detection, the manual detection relies on experience of an operator, qualitative and quantitative discrimination of knitting needle parameters is achieved through manual observation and conventional measuring tool measurement, the method is low in efficiency, detection results are easily affected by human factors, large subjectivity and errors exist, requirements of large-scale and high-precision textile production are difficult to meet, automatic detection and related prior art improve detection efficiency to a certain extent, but data acquisition and discrimination are mostly carried out by adopting a single detection module, a discrimination logic only adopts a qualified and unqualified binary output mode, and the mode has a plurality of limitations that independent grading detection units of needle point hook shape and needle handle coaxiality are not arranged, different defect types of knitting needles cannot be finely discriminated, directional communication links between multiple detection units are not established, effective information interaction and cooperative work are not available among all detection modules, cross checking of single-module detection results cannot be achieved, accuracy and reliability of detection results cannot be guaranteed, multi-dimensional grade defect parameters cannot be judged to be matched, quality classification grade classification can not be carried out, and classification grade classification requirements cannot be met. Disclosure of Invention The invention aims to overcome the defects of the prior art, provides a knitting needle intelligent detection sorting system based on multi-module communication cooperation, which can be used for respectively carrying out independent data acquisition, processing and local grading preliminary judgment on the coaxiality of a needle tip hook and a needle handle of a knitting needle by arranging a needle tip hook precision detection module and a needle handle shape and position error detection module which are independent of each other, establishing a special directional data transmission link between two grading judgment units by utilizing a linkage communication unit, realizing the directional transmission and cross check triggering of data, internally arranging grade linkage constraint, ensuring that the grade of a double-module defect only supports peer binding matching, receiving the double-module data by a grading judgment master control unit and executing grade consistency check, generating an effective grading sorting instruction or marking an object to be rechecked according to a check result, and completing grading collection and physical separation of the knitting needle by a sorting execution unit according to the instruction. The intelligent detection and sorting system for the knitting needles based on multi-module communication cooperation comprises a feeding positioning unit, a needle point hook-shaped precise detection module, a needle handle shape and position error detection module, a linkage communication unit, a grading judgment master control unit and a sorting execution unit; The feeding positioning unit is used for carrying out single sequential conveying and attitude calibration on the knitting needle, so that the knitting needle detection area is aligned with the detection reference of the corresponding detection module; The pinpoint hook precision detection module is used for carrying out non-cont