CN102980536A - Brake pad steel backing planeness detecting system and method thereof - Google Patents
Brake pad steel backing planeness detecting system and method thereof Download PDFInfo
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- CN102980536A CN102980536A CN2012104548745A CN201210454874A CN102980536A CN 102980536 A CN102980536 A CN 102980536A CN 2012104548745 A CN2012104548745 A CN 2012104548745A CN 201210454874 A CN201210454874 A CN 201210454874A CN 102980536 A CN102980536 A CN 102980536A
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Abstract
Provided are a brake pad steel backing planeness detecting system and a method thereof. The brake pad steel backing planeness detecting system comprises an image collecting device, a plurality of pressure detecting probes, an upper computer module and a power source. The image collecting device is collected with the upper computer module and used for collecting brake pad images on an assembly line in a real-time mode and sends the brake pad images to the upper computer module. The pressure detecting probes are connected with the upper computer module and used for collecting pressure field information of brake pads and send the pressure field information to the upper computer module. The upper computer module is used for analyzing the collected images and the collected pressure field information and analyzing defects of the brake pads to obtain planeness conditions and qualified rates. The power source is respectively connected with the image collecting device, the pressure detecting probes and the upper computer module and used for supplying power for the image collecting device, the pressure detecting probes and the upper computer module. The brake pad steel backing planeness detecting system and the method thereof have the advantages of being free of manual interference, accurate in counting, high in accuracy and production efficiency, capable of reducing labor intensity, and high in real-time performance and practicability.
Description
Technical field
The present invention relates to the brake block detection field, be specifically related to a kind of brake block steel back flatness detection system and method.
Background technology
Automobile brake sheet is the critical component that guarantees ride safety of automobile, and the flatness of its steel backing product is the important morpheme error component that is related to the quality of brake pad quality.Yet, generally adopt at present manual signing method to detect the brake block steel back flatness, this kind method reads the difference of the minimum and maximum reading of each point on the tested steel backing surface as the measurement result of flatness error value by the workman, and this method does not meet minimal condition to the evaluation of flatness, and accuracy is low, technical ability to the workman requires high, workman's fatiguability that works long hours, labour intensity is large, and efficient is low, and easily because fatigue produces maloperation, affect measuring accuracy.Therefore, the manual signing method of this kind detects steel backing product plane degree and has that measuring accuracy is low, accuracy is low and labour intensity is large, inefficient technical matters.
Summary of the invention
The object of the present invention is to provide a kind of brake block steel back flatness detection system, detect the brake block steel back flatness and have that measuring accuracy is low, accuracy is low and labour intensity is large, inefficient technical matters to solve the manual signing method of prior art.
Another object of the present invention is to provide a kind of brake block steel back flatness detection method, detect the brake block steel back flatness and have that measuring accuracy is low, accuracy is low and labour intensity is large, inefficient technical matters to solve the manual signing method of prior art.
For achieving the above object, the invention provides a kind of brake block steel back flatness detection system, comprise: image collecting device, some pressure detection probe, upper computer module and power supply, image collecting device is connected with upper computer module, in order to the brake block image on the Real-time Collection streamline and be sent to upper computer module; The pressure detection probe is connected with upper computer module, be sent to upper computer module in order to the pressure field information that gathers brake block, upper computer module is analyzed the defective of brake block in order to the image and the pressure field information that collect are analyzed, and obtains flatness situation and qualification rate; Power supply is connected with upper computer module with image collecting device, pressure detection probe respectively, with thinking that image collecting device, pressure detection probe and upper computer module provide electric power; Wherein, upper computer module further comprises:
Man-machine interaction processing unit: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result;
Image acquisition units: be connected with image collecting device with the man-machine interaction processing unit respectively, in order to user's operation of accepting according to the man-machine interaction processing unit, drive the brake block image on the image collecting device Real-time Collection streamline, and the image that collects is sent to graphics processing unit;
The pressure field information acquisition unit: being connected with pressure detection with the man-machine interaction processing unit respectively is connected, in order to user's operation of accepting according to the man-machine interaction processing unit, the driving pressure detection probe gathers pressure field information, and the pressure field information that collects is sent to the pressure field information process unit;
Graphics processing unit: be connected with image acquisition units, in order to the brake block image that receives is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product;
Pressure field information process unit: be connected with the pressure field information acquisition is single, calculate the pressure field distribution situation of brake block, calculate the brake block flatness;
Statistical treatment unit: be connected with the pressure field information process unit with graphics processing unit, in order to flatness and the qualification rate according to the brake block product of one batch of the result of graphics processing unit and pressure field information process unit statistics, and be sent to man-machine interaction processing unit and database; And,
Database: in order to store flatness and the qualification rate information of one batch brake block product.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection system, this image collecting device adopts the CMOS color camera.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection system, this statistical treatment unit is sent to database and man-machine interaction processing unit with the form of excel chart with flatness and the qualification rate situation generating report forms of one batch brake block product.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection system, the quantity of this pressure detection probe is 20.
For achieving the above object, the present invention also provides a kind of brake block steel back flatness detection method, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting;
(2) according to user's operation, drive respectively brake block image and pressure field information on image collecting device and the pressure detection probe Real-time Collection streamline;
(3) adopt the gabor small wave converting method that the brake block image that collects is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product;
(4) by the pressure field distribution situation of the pressure field information calculations brake block that collects, calculate the brake block flatness;
Flatness and the qualification rate of (5) adding up one batch brake block product according to the result of step (3), step (4) show detection information and statistics in real time, and the storage statistics.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection method, parameter setting in the step (1) comprises: the parallax coefficient, segmentation threshold, zone operator, gabor parameter, and, sensing point correlation detection parameter, the effective detection are counted X-axis correction coefficient and Y-axis correction coefficient.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection method, step (3) specifically comprises:
At first, a plurality of qualified samples are extracted its Gabor transform characteristics, pursue multi-direction, the multiple dimensioned Gabor transform characteristics that pixel is calculated each pixel, form the Gabor character representation of brake block steel back;
Then, the brake block product of defective is carried out the Gabor conversion, both mate registration, and the flatness of qualitative analysis brake block product is found out underproof brake block product.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection method, also comprise between step (1) and the step (2):
The pressure field information of the steel backing product that the acquisition plane degree is good, gathering quantity is 20, by the pressure field information of these standards, the standard form that creates pressure field distribution is stored in the database.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection method, step (4) is specially: during measurement, by gathering the pressure field information of steel backing product to be measured, set up the pressure field distribution figure of product to be measured, compare with the normal pressure field pattern, the program that departs from by pressure curve is come Calculation Plane degree error, and departure degree is larger, and flatness is lower.
According to the described brake block steel back flatness of preferred embodiment of the present invention detection method, step (5) also comprises: the flatness of one batch brake block product and qualification rate situation are shown with the form generating report forms of excel chart and store.
Steel backing of vehicle brake block flatness detection system of the present invention and method be combining image method and pressure field detection method simultaneously, and travelling speed is fast, counting is accurate, has realized intelligent distinguishing brake block flatness and has added up the qualification rate situation.The present invention obtains the defect situation of brake block by image acquisition and analysis, processes obtaining the brake block flatness in conjunction with the pressure field information analysis, shows in real time detection information and testing result and statistics is stored in the database.The present invention combines image method and pressure field detection method, realize that the online of brake block steel back product detects in real time, and generating report forms is input in the database and stores system features in convenient, and greatly improved the accuracy of measuring and measured efficient, reduced labour intensity.And the query processing that the present invention also provides convenience by the interaction process of database makes things convenient for subsequent query, has further improved accuracy.In addition, the present invention only needs a CMOS collected by camera image, disposes in addition 20 pressure detection probe again, just can carry out the flatness detection, device cheap, and saved a large amount of manpower and materials costs, effectively reduce production cost.Therefore, compared with prior art, the present invention has the Human disturbance of need not, counting accurately, and precision is high, production efficiency is high, reduction labour intensity, the advantage that real-time is high, practical and with low cost.
Description of drawings
Fig. 1 is the structure principle chart of brake block steel back flatness detection system of the present invention;
Fig. 2 is one batch the brake block steel back flatness tabulation synoptic diagram that embodiment of the invention statistics obtains.
Embodiment
Below in conjunction with accompanying drawing, specify the present invention.
See also Fig. 1, a kind of brake block steel back flatness detection system, comprise: image collecting device 1,20 pressure detection probes 2, upper computer module 3 and power supply 4, image collecting device 1 adopts the CMOS color camera, it is connected with upper computer module 3, in order to the brake block image on the Real-time Collection streamline and be sent to upper computer module 3.Pressure detection probe 2 is connected with upper computer module 3, be sent to upper computer module 3 in order to the pressure field information that gathers brake block, upper computer module 3 is analyzed the defective of brake block in order to the image and the pressure field information that collect are analyzed, and obtains flatness situation and qualification rate; Power supply 4 is connected with upper computer module with image collecting device 1, pressure detection probe 2 respectively and is connected, with think image collecting device 1, pressure detection pop one's head in 2 and upper computer module 3 electric power is provided.
Upper computer module 3 further comprises: man-machine interaction processing unit 31: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result; Image acquisition units 32: is connected with image collecting device with man-machine interaction processing unit 31 respectively and is connected, in order to user's operation of accepting according to man-machine interaction processing unit 31, drive the brake block image on the image collecting device 1 Real-time Collection streamline, the image that collects is sent to graphics processing unit 34, and, can adjust the parameters such as the exposure of camera and gain; Pressure field information acquisition unit 33: being connected with pressure detection with man-machine interaction processing unit 31 respectively 2 is connected, in order to user's operation of accepting according to man-machine interaction processing unit 31, driving pressure detection probe 2 gathers pressure field information, and the pressure field information that collects is sent to pressure field information process unit 35; Graphics processing unit 34: be connected with image acquisition units 32, in order to the brake block image that receives is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product; Pressure field information process unit 35: be connected with pressure field information acquisition single 33, calculate the pressure field distribution situation of brake block, calculate the brake block flatness; Statistical treatment unit 36: are connected with the pressure field information process unit with graphics processing unit 34 and are connected, in order to flatness and the qualification rate according to the brake block product of one batch of the result of graphics processing unit 34 and pressure field information process unit 35 statistics, with the form of excel chart flatness and the qualification rate situation generating report forms of one batch brake block product is sent to database 37 and man-machine interaction processing unit 31.Database 37: in order to store flatness and the qualification rate information of one batch brake block product.
Concrete, graphics processing unit comprises the Gabor filter sub-unit, the Gabor wave filter of two dimension can catch the partial structurtes information corresponding to locus, spatial frequency and directional selectivity, have to mammal visual cortex simple cell two dimension and experience the similar character of visual field section, having simultaneously stronger locus and directional selectivity, is a kind of extraordinary feature extraction algorithm.The present invention utilizes the Gabor wave filter to carry out feature extraction: at first a plurality of qualified samples are extracted its Gabor transform characteristics, pursue multi-direction, the multiple dimensioned Gabor transform characteristics that pixel is calculated each pixel, form the Gabor character representation of brake block steel back; Then the brake block product of defective carried out the Gabor conversion, both mate registration, obtain accurate flatness information.If take conventional coupling registration strategies, be difficult to obtain accurately match information, and then can't effectively mate, thereby can not get accurate defect information.
Further, the parameter setting comprise parallax coefficient, segmentation threshold, regional operator, Gabor parameter are set, survey count, X-axis correction coefficient and Y-axis correction coefficient.Wherein,
Locus conversion parameter between the signal value that the image that the parallax coefficient collects in order to balanced CMOS and detector collect, the fusion results of this parameter influence to two kind of data, span are 1 ~ 3.
Segmentation threshold is the zone that is partitioned into brake block from the coloured image that collects, and obtains best brake block zone by gray processing and the binaryzation of coloured image, and threshold range is 0.3 ~ 0.8.
The zone operator is to come the keeping characteristics fringe region with the segmented areas cutting operation, removes large-area flat site, and the Threshold scope is 3 ~ 8.
The Gabor parameter change be frequency domain window size and the directional operator of inline gabor wave filter, by the gabor conversion of different directions and yardstick, obtain outstanding local feature and general overall flat feature, the operator span is 2 ~ 6.
Detection is counted and is the quantity of effective detector of device, and the larger needed sensing point of the size of brake block steel back is also larger.
The X-axis correction coefficient is done X-axis to the useful signal value of the sensing point that obtains and is proofreaied and correct, in order to eliminate the installation site to the interference of detectable signal.
The Y-axis correction coefficient is done Y-axis to the useful signal value of the sensing point that obtains and is proofreaied and correct, in order to eliminate the installation site to the interference of detectable signal.
Based on above-mentioned system, the present invention also provides a kind of brake block steel back flatness detection method, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting.
The user carries out the parameter setting by man-machine interaction processing unit 21, and concrete parameter setting comprises: parallax coefficient, segmentation threshold, zone operator, gabor parameter, and sensing point correlation detection parameter, the effective detection are counted X-axis correction coefficient and Y-axis correction coefficient.
(2) according to user's operation, drive respectively brake block image and pressure field information on image collecting device and the pressure detection probe Real-time Collection streamline.
Single 33 yuan of image acquisition units 32 and pressure field information acquisition drive CMOS color camera and corresponding pressure detection pop one's head in brake block image on the 2 Real-time Collection streamlines and the pressure field information of brake block according to the correlation parameter of setting in the step (1) respectively.
(3) adopt the gabor small wave converting method that the brake block image that collects is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product.Be specially:
At first, a plurality of qualified samples are extracted its Gabor transform characteristics, pursue multi-direction, the multiple dimensioned Gabor transform characteristics that pixel is calculated each pixel, form the Gabor character representation of brake block steel back;
Then, the brake block product of defective is carried out the Gabor conversion, both mate registration, and the flatness of qualitative analysis brake block product is found out underproof brake block product.
(4) by the pressure field distribution situation of the pressure field information calculations brake block that collects, calculate the brake block flatness.
During measurement, by gathering the pressure field information of steel backing product to be measured, set up the pressure field distribution figure of product to be measured, compare with the normal pressure field pattern, come Calculation Plane degree error by the program that departs from of pressure curve, departure degree is larger, and flatness is lower.
Flatness and the qualification rate of (5) adding up one batch brake block product according to the result of step (3), step (4) show detection information and statistics in real time, and the storage statistics.
Statistical treatment unit 36 is according to flatness and the qualification rate of the brake block product of one batch of the result of graphics processing unit 34 and pressure field information process unit 35 statistics, with the form of excel chart flatness and the qualification rate situation generating report forms of one batch brake block product is sent to database 37 and man-machine interaction processing unit 31.As shown in Figure 2, it is one batch the brake block steel back flatness tabulation synoptic diagram that embodiment of the invention statistics obtains, and table midplane degree value represents the flatness of a steel backing product, and the less expression error of this value is less, and flatness is better.
In the above-mentioned method, also comprise between step (1) and the step (2): the pressure field information of the steel backing product that the acquisition plane degree is good, gathering quantity is 20, and by the pressure field information of these standards, the standard form that creates pressure field distribution is stored in the database.
The present invention combines image method and pressure field detection method, realize that the online of brake block steel back product detects in real time, and generating report forms is input in the database and stores system features in convenient, and greatly improved the accuracy of measuring and measured efficient, reduced labour intensity.And the query processing that the present invention also provides convenience by the interaction process of database makes things convenient for subsequent query, has further improved accuracy.In addition, the present invention only needs a CMOS collected by camera image, disposes in addition 20 pressure detection probe again, just can carry out the flatness detection, device cheap, and saved a large amount of manpower and materials costs, effectively reduce production cost.Therefore, compared with prior art, the present invention has the Human disturbance of need not, counting accurately, and precision is high, production efficiency is high, reduction labour intensity, the advantage that real-time is high, practical and with low cost.
The above, it only is better embodiment of the present invention, be not that the present invention is done any pro forma restriction, any content that does not break away from technical solution of the present invention, according to any simple modification, equivalent variations and the modification that technical spirit of the present invention is done above embodiment, all belong to the scope of technical solution of the present invention.
Claims (10)
1. brake block steel back flatness detection system, it is characterized in that, comprise: image collecting device, some pressure detection probe, upper computer module and power supply, described image collecting device is connected with described upper computer module, in order to the brake block image on the Real-time Collection streamline and be sent to described upper computer module; Described pressure detection probe is connected with described upper computer module, be sent to described upper computer module in order to the pressure field information that gathers brake block, described upper computer module is analyzed the defective of brake block in order to the image and the pressure field information that collect are analyzed, and obtains flatness situation and qualification rate; Described power supply is connected with upper computer module with described image collecting device, pressure detection probe respectively, with thinking that described image collecting device, pressure detection probe and upper computer module provide electric power; Wherein, described upper computer module further comprises:
Man-machine interaction processing unit: in order to accept user's operation, realize initial work and parameter setting, and show in real time detection information and testing result;
Image acquisition units: be connected with image collecting device with described man-machine interaction processing unit respectively, in order to user's operation of accepting according to described man-machine interaction processing unit, drive the brake block image on the image collecting device Real-time Collection streamline, and the image that collects is sent to graphics processing unit;
The pressure field information acquisition unit: being connected with pressure detection with described man-machine interaction processing unit respectively is connected, in order to user's operation of accepting according to described man-machine interaction processing unit, the driving pressure detection probe gathers pressure field information, and the pressure field information that collects is sent to the pressure field information process unit;
Graphics processing unit: be connected with described image acquisition units, in order to the brake block image that receives is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product;
Pressure field information process unit: be connected with described pressure field information acquisition is single, calculate the pressure field distribution situation of brake block, calculate the brake block flatness;
Statistical treatment unit: be connected with the pressure field information process unit with described graphics processing unit, in order to flatness and the qualification rate according to the brake block product of one batch of the result of described graphics processing unit and pressure field information process unit statistics, and be sent to man-machine interaction processing unit and database; And,
Database: in order to store flatness and the qualification rate information of one batch brake block product.
2. brake block steel back flatness detection system as claimed in claim 1 is characterized in that, described image collecting device adopts the CMOS color camera.
3. brake block steel back flatness detection system as claimed in claim 1, it is characterized in that described statistical treatment unit is sent to database and man-machine interaction processing unit with the form of excel chart with flatness and the qualification rate situation generating report forms of one batch brake block product.
4. brake block steel back flatness detection system as claimed in claim 1 is characterized in that, the quantity of described pressure detection probe is 20.
5. a brake block steel back flatness detection method is characterized in that, may further comprise the steps:
(1) accepts user's operation, realize initial work and parameter setting;
(2) according to user's operation, drive respectively brake block image and pressure field information on image collecting device and the pressure detection probe Real-time Collection streamline;
(3) adopt the gabor small wave converting method that the brake block image that collects is carried out analyzing and processing, analyze the defective of brake block, obtain qualified and substandard product;
(4) by the pressure field distribution situation of the pressure field information calculations brake block that collects, calculate the brake block flatness;
Flatness and the qualification rate of (5) adding up one batch brake block product according to the result of step (3), step (4) show detection information and statistics in real time, and the storage statistics.
6. brake block steel back flatness detection method as claimed in claim 5, it is characterized in that, parameter setting in the step (1) comprises: the parallax coefficient, segmentation threshold, zone operator, gabor parameter, and sensing point correlation detection parameter, the effective detection are counted X-axis correction coefficient and Y-axis correction coefficient.
7. brake block steel back flatness detection method as claimed in claim 5 is characterized in that, step (3) specifically comprises:
At first, a plurality of qualified samples are extracted its Gabor transform characteristics, pursue multi-direction, the multiple dimensioned Gabor transform characteristics that pixel is calculated each pixel, form the Gabor character representation of brake block steel back;
Then, the brake block product of defective is carried out the Gabor conversion, both mate registration, and the flatness of qualitative analysis brake block product is found out underproof brake block product.
8. brake block steel back flatness detection method as claimed in claim 5 is characterized in that, also comprises between step (1) and the step (2):
The pressure field information of the steel backing product that the acquisition plane degree is good, gathering quantity is 20, by the pressure field information of these standards, the standard form that creates pressure field distribution is stored in the database.
9. brake block steel back flatness detection method as claimed in claim 8, it is characterized in that, step (4) is specially: during measurement, by gathering the pressure field information of steel backing product to be measured, set up the pressure field distribution figure of product to be measured, compare with the normal pressure field pattern, come Calculation Plane degree error by the program that departs from of pressure curve, departure degree is larger, and flatness is lower.
10. brake block steel back flatness detection method as claimed in claim 5 is characterized in that, step (5) also comprises: the flatness of one batch brake block product and qualification rate situation are shown with the form generating report forms of excel chart and store.
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| CN201210454874.5A CN102980536B (en) | 2012-11-13 | 2012-11-13 | Brake block steel back flatness detection system and method |
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| CN201210454874.5A CN102980536B (en) | 2012-11-13 | 2012-11-13 | Brake block steel back flatness detection system and method |
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| CN103743367A (en) * | 2014-02-07 | 2014-04-23 | 通富热处理(昆山)有限公司 | Automatic detection device of automobile brake disc |
| CN105258727A (en) * | 2015-10-28 | 2016-01-20 | 中国计量学院 | Brake backplane automatic detection device based on machine vision |
| CN112834515A (en) * | 2020-12-30 | 2021-05-25 | 常州创度信息技术有限公司 | Product surface detection system based on image processing |
| CN114184143A (en) * | 2021-11-22 | 2022-03-15 | 惠州高盛达科技有限公司 | PCB flatness measuring method and device |
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| CN114184143A (en) * | 2021-11-22 | 2022-03-15 | 惠州高盛达科技有限公司 | PCB flatness measuring method and device |
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| Publication number | Publication date |
|---|---|
| CN102980536B (en) | 2015-10-14 |
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