CN106153636A - The detection method of tyre wire cord fabric surface defect, Apparatus and system - Google Patents

The detection method of tyre wire cord fabric surface defect, Apparatus and system Download PDF

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Publication number
CN106153636A
CN106153636A CN201510156545.6A CN201510156545A CN106153636A CN 106153636 A CN106153636 A CN 106153636A CN 201510156545 A CN201510156545 A CN 201510156545A CN 106153636 A CN106153636 A CN 106153636A
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China
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detected
wirecord fabric
image information
parameter
fabric
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焦清国
祁海波
郑超
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Qingdao Wangong Information Technology Co. Ltd.
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Mesnac Co Ltd
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Priority to CN201510156545.6A priority Critical patent/CN106153636A/en
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Abstract

The invention discloses the detection method of a kind of tyre wire cord fabric surface defect, Apparatus and system, wherein, the method includes: obtaining the characteristic parameter of wirecord fabric to be detected, wherein characteristic parameter is for reflecting the quality of steel wire to be detected;Comparative feature parameter and preset reference parameter, obtain comparative result, and wherein, comparative result is for the difference of indicative character parameter with preset reference parameter;When this difference does not falls within preset range, determine that wirecord fabric to be detected does not meets pre-provisioning request, when this difference falls into preset range, determine that wirecord fabric to be detected meets pre-provisioning request.Solved by the present invention that by manual observation, cord surface defect to detect the detection degree of accuracy caused in correlation technique the highest, testing cost is higher, the problem that detection efficiency is relatively low, thus improve tire enterprise product quality and work efficiency, save human resources, reduce cost of labor and defect rate.

Description

The detection method of tyre wire cord fabric surface defect, Apparatus and system
Technical field
The present invention relates to the communications field, in particular to detection method, the Apparatus and system of tyre wire cord fabric surface defect.
Background technology
Wirecord fabric is mainly used in the framework material of tire, bears the most of load acting on tire.The quality problems such as wirecord fabric misalignment, steel wire expose, surface exists impurity, the unequal defect of width may cause finished product tire delamination, bulge, uniformity are the most up to standard, it is also possible to the safety of driver and crew is caused a hidden trouble.Therefore in the production process of cord, carry out quality inspection control can be prevented effectively from the generation of problem above.
Present stage is to be detected by manual observation to a kind of major programme of cord surface defects detection.The shortcoming of prior art includes:
1. manual detection degree of accuracy is the highest, is affected ratio by fatigue etc. more serious.
2. manual detection is relatively costly.
3. manual detection efficiency is relatively low.
For in correlation technique, by manual observation, cord surface defect is carried out the problems referred to above that detection exists, also do not propose effective solution.
Summary of the invention
The invention provides detection method and the device of a kind of tyre wire cord fabric surface defect, at least to solve one of the problems referred to above that by manual observation, cord surface defect is carried out in correlation technique detection existence.
According to an aspect of the invention, it is provided the detection method of a kind of tyre wire cord fabric surface defect, including: obtaining the characteristic parameter of wirecord fabric to be detected, wherein this feature parameter is for reflecting the quality of described steel wire to be detected;Relatively described characteristic parameter and preset reference parameter, obtain comparative result, and wherein, this comparative result is for indicating the difference of described characteristic parameter and preset reference parameter;When described difference does not falls within preset range, determine that described wirecord fabric to be detected does not meets pre-provisioning request, when described difference falls into described preset range, determine that described wirecord fabric to be detected meets described pre-provisioning request.
Further, the characteristic parameter obtaining wirecord fabric to be detected includes: gather the image information of described wirecord fabric to be detected;Described characteristic parameter is extracted from described image information.
Further, from described image information, extract described characteristic parameter include: from described image information, extract the defect characteristic for indicating described wirecord fabric existing defects to be detected, using this defect characteristic as described characteristic parameter.
Further, described defect characteristic includes at least one of: cord exposes, impurity pollutes, the radius off-set joint of the width of described wirecord fabric to be detected and predetermined threshold wirecord fabric joint to be detected inconsistent, described.
Further, include before extracting described characteristic parameter from described image information: described image information is filtered and binary conversion treatment.
Further, the image information gathering described wirecord fabric to be detected includes: described image information includes the image information on the two sides of described wirecord fabric to be detected.
According to another aspect of the present invention, additionally provide the detection device of a kind of tyre wire cord fabric surface defect, including: acquisition module, for obtaining the characteristic parameter of wirecord fabric to be detected, wherein this feature parameter is for reflecting the quality of described steel wire to be detected;Comparison module, for relatively described characteristic parameter and preset reference parameter, obtains comparative result, and wherein, this comparative result is for indicating the difference of described characteristic parameter and preset reference parameter;Determine module, for when described difference does not falls within preset range, determine that described wirecord fabric to be detected does not meets pre-provisioning request, when described difference falls into described preset range, determine that described wirecord fabric to be detected meets described pre-provisioning request.
Further, described acquisition module includes: collecting unit, for gathering the image information of described wirecord fabric to be detected;Extraction unit, for extracting described characteristic parameter from described image information.
Further, described extraction unit is additionally operable to the defect characteristic extracted from described image information for indicating described wirecord fabric existing defects to be detected, using this defect characteristic as described characteristic parameter.
Further, described defect characteristic includes at least one of: cord exposes, impurity pollutes, the radius off-set joint of the width of described wirecord fabric to be detected and predetermined threshold wirecord fabric joint to be detected inconsistent, described.
Further, described device also includes: pretreatment module, for being filtered described image information and binary conversion treatment.
Further, described image information includes the image information on two sides of described wirecord fabric to be detected.
According to another aspect of the present invention, additionally provide the detecting system of a kind of tyre wire cord fabric surface defect, including: the first detection device and second detection device, described first detection device and described second detection device are separately mounted to the upper and lower surface of production equipment conveyer belt, for gathering the image information of wirecord fabric upper and lower surface to be detected, and described image information is sent to image acquisition and analytical equipment;Described image acquisition and analytical equipment, it is of coupled connections with described first detection device and described second detection device, for when the difference of the characteristic parameter of described image information Yu preset reference parameter falls into preset range, produce for indicating described wirecord fabric to be detected to meet the first indication signal of pre-provisioning request, and when described difference does not falls within preset range, produce for indicating described wirecord fabric to be detected do not meet the second indication signal of pre-provisioning request and export.
Further, described first detection device and described second detection device all include: line-scan digital camera, light source;Described system also includes: rotary encoder;Wherein, the line-scan digital camera of described first detection device and light source are arranged on the top position of described conveyer belt, the line-scan digital camera of described second detection device and light source are arranged on the lower position of described conveyer belt, and described rotary encoder is arranged in the rotary shaft of described conveyer belt.
Further, described rotary encoder is of coupled connections with analytical equipment with described image acquisition, pulse signal for producing when described rotary encoder is with described conveyer belt synchronous axial system sends extremely described image acquisition and analytical equipment, and described image collecting device produces instruction according to described pulse signal and sends the instruction for triggering the described line-scan digital camera described image information of collection to described line-scan digital camera.
Further, described system also includes: alarm device, is of coupled connections with analytical equipment with described image acquisition, is used for receiving described second instruction information, and alert.
By the present invention, using the characteristic parameter obtaining wirecord fabric to be detected, wherein characteristic parameter is for reflecting the quality of steel wire to be detected;Comparative feature parameter and preset reference parameter, obtain comparative result, and wherein, comparative result is for the difference of indicative character parameter with preset reference parameter;When this difference does not falls within preset range, determine that wirecord fabric to be detected does not meets pre-provisioning request, when this difference falls into preset range, determine that wirecord fabric to be detected meets pre-provisioning request.Solve that by manual observation, cord surface defect to detect the detection degree of accuracy caused in correlation technique the highest, testing cost is higher, the problem that detection efficiency is relatively low, thus improves tire enterprise product quality and work efficiency, save human resources, reduce cost of labor and defect rate.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the schematic description and description of the present invention is used for explaining the present invention, is not intended that inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the detection method of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 2 is the structured flowchart of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 3 is the structured flowchart (1) of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 4 is the structured flowchart (2) of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 5 is the structured flowchart of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 6 is the structured flowchart (1) of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 7 is the structured flowchart (2) of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention;
Fig. 8 is wirecord fabric surface defect vision detection system structural representation according to embodiments of the present invention;
Fig. 9 is upper surface defect detecting device structure chart according to embodiments of the present invention;
Figure 10 is lower surface defect detecting device structure chart according to embodiments of the present invention;
Figure 11 is defects detection result schematic diagram according to embodiments of the present invention;
Figure 12 is the schematic diagram of the radius off-set joint defect judging wirecord fabric joint to be detected according to embodiments of the present invention;
Figure 13 is the flow chart judging wirecord fabric defect to be detected according to embodiments of the present invention;
Figure 14 is the flow chart (1) judging wirecord fabric defect to be detected according to embodiments of the present invention.
Detailed description of the invention
Below with reference to accompanying drawing and describe the present invention in detail in conjunction with the embodiments.It should be noted that in the case of not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.
Providing the detection method of a kind of tyre wire cord fabric surface defect in the present embodiment, Fig. 1 is the flow chart of the detection method of tyre wire cord fabric surface defect according to embodiments of the present invention, as it is shown in figure 1, this flow process comprises the steps:
Step S102, obtains the characteristic parameter of wirecord fabric to be detected, and wherein this feature parameter is for reflecting the quality of steel wire to be detected;
Step S104, comparative feature parameter and preset reference parameter, obtain comparative result, and wherein, comparative result is for the difference of indicative character parameter with preset reference parameter;
Step S106, when this difference does not falls within preset range, determines that wirecord fabric to be detected does not meets pre-provisioning request, when this difference falls into this preset range, determines that wirecord fabric to be detected meets pre-provisioning request.
Pass through above-mentioned steps, when the characteristic parameter of the wirecord fabric to be detected got does not falls within preset range with the difference of preset reference parameter, determine that wirecord fabric to be detected does not meets pre-provisioning request, when the characteristic parameter of the wirecord fabric to be detected got falls into preset range with the difference of preset reference parameter, determine that wirecord fabric to be detected meets pre-provisioning request, can only detect whether wirecord fabric to be detected meets pre-provisioning request by manual observation compared in correlation technique, solve that by manual observation, cord surface defect to detect the detection degree of accuracy caused in correlation technique the highest, testing cost is higher, the problem that detection efficiency is relatively low, thus improve tire enterprise product quality and work efficiency, save human resources, reduce cost of labor and defect rate.
Above-mentioned steps S102 relates to obtain the characteristic parameter of wirecord fabric to be detected, it should be noted that the characteristic parameter of wirecord fabric to be detected can be obtained in several ways, is illustrated this below.In one alternate embodiment, gather the image information of wirecord fabric to be detected, from image information, extract characteristic parameter.
In one alternate embodiment, from image information, the defect characteristic for indicating wirecord fabric existing defects to be detected is extracted, using defect characteristic as characteristic parameter.
Drawbacks described above feature can include a variety of parameter, and in one alternate embodiment, defect characteristic may include that cord exposes, impurity pollutes, the radius off-set joint of the width of wirecord fabric to be detected and predetermined threshold wirecord fabric joint inconsistent, to be detected.It is illustrative only herein.
Before extracting characteristic parameter from image information, in one alternate embodiment, image information is filtered and binary conversion treatment, from the image information after processing, extracts this feature parameter.
In one alternate embodiment, above-mentioned image information includes the image information on the two sides of wirecord fabric to be detected.
Additionally providing the detection device of a kind of tyre wire cord fabric surface defect in the present embodiment, this device is used for realizing above-described embodiment and preferred implementation, has carried out repeating no more of explanation.As used below, term " module " can realize the software of predetermined function and/or the combination of hardware.Although the device described by following example preferably realizes with software, but hardware, or the realization of the combination of software and hardware also may and be contemplated.
Fig. 2 is the structured flowchart of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention, as shown in Figure 2, this device includes: acquisition module 22, and for obtaining the characteristic parameter of wirecord fabric to be detected, wherein characteristic parameter is for reflecting the quality of steel wire to be detected;Comparison module 24, is used for comparing this feature parameter and preset reference parameter, obtains comparative result, and wherein, comparative result is for the difference of indicative character parameter with preset reference parameter;Determine module 26, for when this difference does not falls within preset range, determine that wirecord fabric to be detected does not meets pre-provisioning request, when this difference falls into preset range, determine that wirecord fabric to be detected meets this pre-provisioning request.
Fig. 3 is the structured flowchart (1) of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention, as it is shown on figure 3, acquisition module 22 includes: collecting unit 222, for gathering the image information of wirecord fabric to be detected;Extraction unit 224, for extracting characteristic parameter from this image information.
Further, extraction unit 224 is additionally operable to the defect characteristic extracted from image information for indicating wirecord fabric existing defects to be detected, using defect characteristic as characteristic parameter.
Further, defect characteristic includes at least one of: cord exposes, impurity pollutes, the radius off-set joint of the width of wirecord fabric to be detected and predetermined threshold wirecord fabric joint inconsistent, to be detected.
Fig. 4 is the structured flowchart (2) of the detection device of tyre wire cord fabric surface defect according to embodiments of the present invention, and as shown in Figure 4, this device also includes: pretreatment module 42, for being filtered image information and binary conversion treatment.
Further, image information includes the image information on two sides of wirecord fabric to be detected.
Fig. 5 is the structured flowchart of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention, as shown in Figure 5, this system includes: the first detection device 52 and second detection device 54, first detection device 52 and second detection device 54 are separately mounted to the upper and lower surface of production equipment conveyer belt, for gathering the image information of wirecord fabric upper and lower surface to be detected, and image information is sent to image acquisition and analytical equipment;Image acquisition and analytical equipment 56, it is of coupled connections with the first detection device 52 and second detection device 54, for when the difference of the characteristic parameter of image information Yu preset reference parameter falls into preset range, produce for indicating this wirecord fabric to be detected to meet the first indication signal of pre-provisioning request, and when this difference does not falls within preset range, produce for indicating this wirecord fabric to be detected do not meet the second indication signal of pre-provisioning request and export.
Fig. 6 is the structured flowchart (1) of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention, and as shown in Figure 6, the first detection device 52 and second detection device 54 all include: line-scan digital camera, light source;This system also includes: rotary encoder 62;Wherein, the line-scan digital camera 522 of the first detection device 52 and light source 524 are arranged on the top position of conveyer belt, and the line-scan digital camera 542 of second detection device 54 and light source 544 are arranged on the lower position of conveyer belt, and rotary encoder 62 is arranged in the rotary shaft of conveyer belt.
Alternatively, rotary encoder 62 is of coupled connections with analytical equipment 56 with this image acquisition, pulse signal for producing when rotary encoder 62 is with conveyer belt synchronous axial system sends to image acquisition and analytical equipment 56, and image collecting device 56 produces instruction according to pulse signal and sends the instruction for firing line array camera collection image information to line-scan digital camera.
Fig. 7 is the structured flowchart (2) of the detecting system of tyre wire cord fabric surface defect according to embodiments of the present invention, this system also includes: alarm device 72, it is of coupled connections with analytical equipment 56 with image acquisition, is used for receiving above-mentioned second instruction information, and alert.
It should be noted that above-mentioned modules can be by software or hardware realizes, for the latter, can be accomplished by, but be not limited to this: above-mentioned modules is respectively positioned in same processor;Or, above-mentioned modules lays respectively at first processor, the second processor and the 3rd processor ... in.
For the problems referred to above present in correlation technique, illustrating below in conjunction with alternative embodiment, this alternative embodiment combines above-mentioned alternative embodiment and optional embodiment thereof.
This alternative embodiment mainly realizes wirecord fabric surface defect online automatic detection in severing operation, to solve the missing inspection that manual detection causes, and the efficiency that artificial flase drop brings reduces, and improves product quality for tire manufacturer, improving production efficiency, cost-effective offer helps.
The defect on wirecord fabric surface include cord expose, surface impurity pollution, width off-tolerance, the joint misalignment etc. that causes in bond process, it is achieved real-time defect is reported to the police and shutdown processes, and preserves defect information, in order to later stage inquiry and reviewing.
The phenomenon that wirecord fabric span is overproof, joint overlaps skew it is frequently present of during steel wire cord fabric cutting.The bonding state to wirecord fabric is needed to monitor in real time and detect in order to improve the joint quality of wirecord fabric.Additionally wirecord fabric producing, course of conveying can produce steel wire show money or valuables one carries unintentionally, the defect such as surface irregularities, these all can be affected the quality of tire, therefore be also required to be detected it in real time by vision technique.This main function of system is as follows:
The qualified of cord joint misalignment and defective judgement can be carried out;
Each parts can be allowed that position deviation is set;
Can demarcate according to actual size, set up image and actual size proportionate relationship;
Automatic Realtime Alerts can be carried out according to the different deviation ranges that each defect sets;
Deviation can be stored and exceed image and the alarm logging of allowed band;
Defect Realtime Alerts information can be carried out;
Can extend and realize communication interface, can be with MES system, PLC control system interface.
Wirecord fabric surface defect vision detection system is mainly made up of with analysis system upper surface defective vision detection device, lower surface defective vision detection device, alarm device and image acquisition.Upper and lower surface defective vision detection device mainly includes the parts such as industry line-scan digital camera, camera support, optical lens, light source, rotary encoder, and image acquisition and analysis system mainly include the modules such as the setting of image acquisition, data analysis, technical recipe, system parameter settings, real time execution, data storage and statement analysis.
Line-scan digital camera operation principle: line-scan digital camera is different from traditional area array cameras, it triggers a shutter and generates a width is to set width, and the straight line of a length of 1 pixel, through repeatedly triggering, when length reaches preseting length, all lines collected are synthesized the image output that a width is complete.As a example by the image of 1024x2048, trigger shutter every time and become a width of 1024, the straight line of a length of 1, trigger through 2048 times, export entire image.Because the distinctive image-forming principle of line-scan digital camera, so it is particularly suitable for shooting the moving target on conveyer belt.
In process of production, needing to carry out cord two sides respectively image acquisition, upper and lower surface defect detection apparatus is respectively arranged in pipeline upper and lower surface, and rotary encoder is installed on roll shaft or the motor shaft of pipeline nearby, with pipeline synchronous axial system, producing pulse signal, pulse signal connects image capturing system, pulse signal control acquisition system and send shutter instruction to camera, during pipeline motion, carrying out image acquisition, pipeline is the fastest, and picture-taken frequency is the highest;When pipeline stops, image acquisition stops the most therewith.The Image Real-time Transmission collected carries out image procossing and identification to image analysis software; whether detection wirecord fabric surface exists the defects such as chain mark, impurity contamination, width off-tolerance, joint misalignment; the defect image recognized is preserved and uploads; and control alarm device and carry out Realtime Alerts; if desired with transmission line programmable logic controller (PLC) (Programmable Logic Controller; referred to as PLC) linkage, carry out forced stoppage process.Fig. 8 is wirecord fabric surface defect vision detection system structural representation according to embodiments of the present invention, and as shown in Figure 8,1 detects device for upper surface;2 detect device for lower surface;3 is transmission belt;4 is roll shaft;5 is sizing material to be detected;6 is cutting machine;7 is rotary encoder;8 is image acquisition and the system of analysis;9 is alarm device.
In one alternate embodiment, upper surface defect detecting device design is:
According to on-site actual situations, secure the device on cutting machine pipeline, industry line-scan digital camera and light source are arranged on the top position of detected wirecord fabric conveyer belt according to technological requirement angle, and rotary encoder is arranged on motor shaft nearby or roll shaft, in order to synchronize firing line array camera shutter.Fig. 9 is upper surface defect detecting device structure chart according to embodiments of the present invention, as it is shown in figure 9,101 is line-scan digital camera fixed support;102 is light source fixed support.
The rotary encoder of different model rotates a circle and can send different umber of pulses, and choosing of encoder model is determined by roller diameter D and camera list length in pixels L:
Umber of pulse=π × D/L
Umber of pulse too much can cause image to elongate, otherwise can cause compression of images, makes the image collected produce distortion.
In another alternative embodiment, lower surface defect detecting device design is:
According to on-site actual situations, this system is arranged on cutting machine joint conveyer belt below the conveyer belt of melt pit end, industry line-scan digital camera and light source are arranged on the obliquely downward position of detected wirecord fabric conveyer belt according to technological requirement angle, and camera shutter triggers signal and is similarly from the rotary encoder used by upper surface.Figure 10 is lower surface defect detecting device structure chart according to embodiments of the present invention, and as shown in Figure 10,201 is light source fixed support;202 is line-scan digital camera fixed support;203 is ground fixed support.
For the concrete installation site of line-scan digital camera depending on field condition, simply usual position in such scheme, different installation sites also can design different supporting structures;Upper surface detection device typically can transmit (including transfer roller, balance roller) any suitable location on line at whole piece and install, and lower surface detection device is typically mounted at two roller gap location below melt pit both sides or transfer roller.
Such scheme is installed on roll shaft or motor shaft rotary encoder, according to transmitting line transmission speed difference firing line array camera shutter, another program can not use rotary encoder, but camera uses fixing frequency of exposure in the case of production line transmission speed is certain, manually change frequency of exposure during line speed change, make camera filming frequency keep consistent with line speed.
Image acquisition and the system of analysis:
Image acquisition and the core that analysis is native system; the real image that industry line-scan digital camera is detected is obtained in real time by image pick-up card; utilize image procossing and parser to calculate normal data defined in actually detected data and system to compare; judge whether actually detected result meets technological parameter requirement; software carries out showing and marking by the form of real time imaging; when finding defect, system notifies operator in time by warning system; and defect result recorded and preserves, carry out shutdown process if desired.System includes the functional modules such as the setting of image acquisition, image procossing, technical recipe, system parameter settings, real time execution, data storage and statement analysis.
Image acquisition task is completed by image pick-up card, image pick-up card connects industrial panel computer, line-scan digital camera and rotary encoder, when sending shutter triggering command to camera after the pulse signal receiving encoder, perform image acquisition task by parameter preset, often generate piece image and i.e. carry out form and be converted and transmitted to image processing module and carry out image processing operations.
First image is carried out gaussian filtering and adaptive threshold binary conversion treatment by image processing section, owing to film and transmission belt and defect have obvious color distortion, so according to extraction different with the conveyer belt color cord scope of cord in binary image, scope according to cord determines cord width distribution situation, returns width value in real time.When carrying out defects detection, in the range of cord, carry out connected region (defect characteristic) extract, if extracted less than defect characteristic, it is believed that not existing defects, cord is qualified;If extracting profile, then it is assumed that cord surface existing defects, return the size of profile.Figure 11 is defects detection result schematic diagram according to embodiments of the present invention.
Misalignment detects according in binary image, the change of cord image often row center of gravity judges, if image reform is basically unchanged, thinking that cord is qualified, if position of centre of gravity offsets, Figure 12 is the schematic diagram of the radius off-set joint defect judging wirecord fabric joint to be detected according to embodiments of the present invention, as shown in figure 12, for position of centre of gravity with the situation of change of image length, it is believed that there is misalignment to produce, return the size of misalignment.
Figure 13 is the flow chart judging wirecord fabric defect to be detected according to embodiments of the present invention, and as shown in figure 13, this flow process comprises the steps:
Step S1302, image inputs;
Step S1304, image filtering;
Step S1306, carries out binaryzation to filtered image;
Step S1308, extracts the profile of image;
Step S1310, extracts image reform point;
Step S1312, extracts the width of image;
Step S1314, it may be judged whether profile or centre-of gravity shift detected, in the case of judged result is no, performs step S1302, in the case of judged result is for being, performs step S1316;
Step S1316, the result that output detections arrives.
Technical recipe sets and defect size, joint deviation range, normal width etc. can be allowed to be set the cord of different size, so that standard value defined in the actual value exported in image processing process and formula compares, determine whether actually detected result meets technological parameter requirement, when output valve is above standard value, the image being unsatisfactory for requiring is reported to the police and record.
Parameter sets and is mainly used in before system starts to measure being set system common parameter, and the basic datas such as image resolution ratio, camera parameter, image compensation algorithm initialization can be defined and arrange by its sensitivity directly determining system and reliability.Different parameter group credit union produces different recognition results, it would be desirable to according to on-site actual situations, adjusts system parameter settings, to reach best application effect.
System automatically gathers view data according to the systematic parameter preset and analyzes and processes; the main interface of system shows testing result and monitoring image in real time; real-time and equipment PLC control system carries out communication, carries out shutdown process if desired, and testing result is carried out real-time storage.
System can carry out real-time storage to system local data base to testing result and defect image record, it is also possible to uploads to database server by network interface, in order to the later stage inquires about.
Corresponding measurement result information in data base can be obtained easily by the inquiry of self-defining conditional combination, ASSOCIATE STATISTICS form can be generated, and the form of Query Result and generation can be derived to EXCEL file output.
System uses the defect that sound and light alarm prompt system detects, and can carry out communication with cutting machine control system, exports alarm linkage signal.
Figure 14 is the flow chart (1) judging wirecord fabric defect to be detected according to embodiments of the present invention, and as shown in figure 14, this flow process comprises the steps:
Step S1402, gathers image;
Step S1404, extracts defect area, calculates defect area;
Step S1406, calculates cord width;
Step S1408, calculates film center of gravity;
Step S1410, it is judged that whether above-mentioned result of calculation is beyond predetermined threshold, in the case of judged result is for being, performs step S1412;
Step S1412, reports to the police.
In sum, by the wirecord fabric surface defect vision on-line detecting system of the present invention, produce equipment for cutting machine etc., detection wirecord fabric overlapping splice situation and wirecord fabric surface irregularities, show money or valuables one carries unintentionally, the detection in real time of the defect such as width off-tolerance and reporting to the police.Under the promotion that the automation application demands such as production capacity, speed, precision are raised by Tire production industry day by day, the machine intelligence solution that alternative human eye measures and detects becomes assists production procedure smooth and easy and the indispensable instrument of process quality control, improve tire enterprise product quality and work efficiency, save human resources, reduce cost of labor and defect rate.
In another embodiment, additionally providing a kind of software, this software is for performing the technical scheme described in above-described embodiment and preferred implementation.
In another embodiment, additionally providing a kind of storage medium, in this storage medium, storage has above-mentioned software, and this storage medium includes but not limited to: CD, floppy disk, hard disk, scratch pad memory etc..
Obviously, those skilled in the art should be understood that, each module of the above-mentioned present invention or each step can realize with general calculating device, they can concentrate on single calculating device, or it is distributed on the network that multiple calculating device is formed, alternatively, they can realize with calculating the executable program code of device, thus, can be stored in storing in device and be performed by calculating device, and in some cases, can be to be different from the step shown or described by order execution herein, or they are fabricated to respectively each integrated circuit modules, or the multiple modules in them or step are fabricated to single integrated circuit module realize.So, the present invention is not restricted to the combination of any specific hardware and software.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.

Claims (16)

1. the detection method of a tyre wire cord fabric surface defect, it is characterised in that including:
Obtaining the characteristic parameter of wirecord fabric to be detected, wherein this feature parameter is for reflecting the quality of described steel wire to be detected;
Relatively described characteristic parameter and preset reference parameter, obtain comparative result, and wherein, this comparative result is for indicating the difference of described characteristic parameter and preset reference parameter;
When described difference does not falls within preset range, determine that described wirecord fabric to be detected does not meets pre-provisioning request, when described difference falls into described preset range, determine that described wirecord fabric to be detected meets described pre-provisioning request.
Method the most according to claim 1, it is characterised in that the characteristic parameter obtaining wirecord fabric to be detected includes:
Gather the image information of described wirecord fabric to be detected;
Described characteristic parameter is extracted from described image information.
Method the most according to claim 2, it is characterised in that extract described characteristic parameter from described image information and include:
The defect characteristic for indicating described wirecord fabric existing defects to be detected is extracted, using this defect characteristic as described characteristic parameter from described image information.
Method the most according to claim 3, it is characterized in that, described defect characteristic includes at least one of: cord exposes, impurity pollutes, the radius off-set joint of the width of described wirecord fabric to be detected and predetermined threshold wirecord fabric joint to be detected inconsistent, described.
Method the most according to claim 2, it is characterised in that include before extracting described characteristic parameter from described image information:
Described image information is filtered and binary conversion treatment.
6. according to the method according to any one of claim 2 to 5, it is characterised in that the image information gathering described wirecord fabric to be detected includes:
Described image information includes the image information on the two sides of described wirecord fabric to be detected.
7. the detection device of a tyre wire cord fabric surface defect, it is characterised in that including:
Acquisition module, for obtaining the characteristic parameter of wirecord fabric to be detected, wherein this feature parameter is for reflecting the quality of described steel wire to be detected;
Comparison module, for relatively described characteristic parameter and preset reference parameter, obtains comparative result, and wherein, this comparative result is for indicating the difference of described characteristic parameter and preset reference parameter;
Determine module, for when described difference does not falls within preset range, determine that described wirecord fabric to be detected does not meets pre-provisioning request, when described difference falls into described preset range, determine that described wirecord fabric to be detected meets described pre-provisioning request.
Device the most according to claim 7, it is characterised in that described acquisition module includes:
Collecting unit, for gathering the image information of described wirecord fabric to be detected;
Extraction unit, for extracting described characteristic parameter from described image information.
Device the most according to claim 8, it is characterised in that described extraction unit is additionally operable to the defect characteristic extracted from described image information for indicating described wirecord fabric existing defects to be detected, using this defect characteristic as described characteristic parameter.
Device the most according to claim 9, it is characterized in that, described defect characteristic includes at least one of: cord exposes, impurity pollutes, the radius off-set joint of the width of described wirecord fabric to be detected and predetermined threshold wirecord fabric joint to be detected inconsistent, described.
11. devices according to claim 7, it is characterised in that described device also includes:
Pretreatment module, for being filtered and binary conversion treatment described image information.
12. according to Claim 8 to the device according to any one of 11, it is characterised in that described image information includes the image information on the two sides of described wirecord fabric to be detected.
The detecting system of 13. 1 kinds of tyre wire cord fabric surface defects, it is characterised in that including:
First detection device and second detection device, described first detection device and described second detection device are separately mounted to the upper and lower surface of production equipment conveyer belt, for gathering the image information of wirecord fabric upper and lower surface to be detected, and described image information is sent to image acquisition and analytical equipment;
Described image acquisition and analytical equipment, it is of coupled connections with described first detection device and described second detection device, for when the difference of the characteristic parameter of described image information Yu preset reference parameter falls into preset range, produce for indicating described wirecord fabric to be detected to meet the first indication signal of pre-provisioning request, and when described difference does not falls within preset range, produce for indicating described wirecord fabric to be detected do not meet the second indication signal of pre-provisioning request and export.
14. systems according to claim 13, it is characterised in that described first detection device and described second detection device all include: line-scan digital camera, light source;Described system also includes: rotary encoder;
Wherein, the line-scan digital camera of described first detection device and light source are arranged on the top position of described conveyer belt, the line-scan digital camera of described second detection device and light source are arranged on the lower position of described conveyer belt, and described rotary encoder is arranged in the rotary shaft of described conveyer belt.
15. systems according to claim 14, it is characterized in that, described rotary encoder is of coupled connections with analytical equipment with described image acquisition, pulse signal for producing when described rotary encoder is with described conveyer belt synchronous axial system sends extremely described image acquisition and analytical equipment, and described image collecting device produces instruction according to described pulse signal and sends the instruction for triggering the described line-scan digital camera described image information of collection to described line-scan digital camera.
16. according to the system according to any one of claim 13-15, it is characterised in that described system also includes:
Alarm device, is of coupled connections with analytical equipment with described image acquisition, is used for receiving described second instruction information, and alert.
CN201510156545.6A 2015-04-03 2015-04-03 The detection method of tyre wire cord fabric surface defect, Apparatus and system Pending CN106153636A (en)

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CN111967626A (en) * 2020-08-29 2020-11-20 广东伟达智能装备股份有限公司 Automatic quality inspection method
CN112365488A (en) * 2020-11-24 2021-02-12 合肥工业大学 System and method for detecting geometric parameters of different components of tire section
CN112365488B (en) * 2020-11-24 2022-10-14 合肥工业大学 System and method for detecting geometric parameters of different components of tire section
CN112432954A (en) * 2020-12-09 2021-03-02 浙江理工大学 Braided tube flaw detection method
CN116026860A (en) * 2023-03-28 2023-04-28 和峻(广州)胶管有限公司 Quality control method and system for steel wire braided tube

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