CN118180197A - Automatic conveying and detecting system for precision stamping progressive die - Google Patents
Automatic conveying and detecting system for precision stamping progressive die Download PDFInfo
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- 230000000750 progressive effect Effects 0.000 title claims abstract description 57
- 238000001514 detection method Methods 0.000 claims abstract description 104
- 238000007781 pre-processing Methods 0.000 claims abstract description 49
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- 238000000034 method Methods 0.000 claims description 37
- 230000009466 transformation Effects 0.000 claims description 24
- 239000002699 waste material Substances 0.000 claims description 20
- 230000008569 process Effects 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 6
- 238000004080 punching Methods 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 6
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- 230000002457 bidirectional effect Effects 0.000 claims description 5
- 238000009966 trimming Methods 0.000 claims description 4
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- 238000003754 machining Methods 0.000 abstract description 6
- 239000000047 product Substances 0.000 description 14
- 238000004519 manufacturing process Methods 0.000 description 7
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21C—MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
- B21C51/00—Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D—WORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D37/00—Tools as parts of machines covered by this subclass
- B21D37/08—Dies with different parts for several steps in a process
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Abstract
The invention discloses an automatic conveying detection system of a precision stamping progressive die, which relates to the technical field of detection of machining equipment, and the scheme is provided that the automatic conveying detection system comprises a die image acquisition unit, a die image preprocessing unit, an image data characteristic extraction unit and a data comparison detection unit; the die image acquisition unit is used for capturing and acquiring images of the progressive die in real time through the high-definition camera, and sending acquired progressive die image data information to the die image preprocessing unit, wherein die image acquisition is an important step of real-time image processing. According to the invention, by installing the die image acquisition unit, the die image preprocessing unit, the image data characteristic extraction unit and the data comparison detection unit, the real-time acquisition, the image preprocessing, the image data characteristic extraction, the data comparison and the error analysis processing are carried out on the precision stamping progressive die, so that the effect and the efficiency of detecting the precision stamping progressive die are effectively improved.
Description
Technical Field
The invention relates to the technical field of detection of machining equipment, in particular to an automatic conveying detection system of a precision stamping progressive die.
Background
The progressive die (also called progressive die) is composed of a plurality of stations, each station is associated in sequence to finish different processing, a series of different punching processing is finished in one stroke of the punch press, after the one stroke is finished, the material is moved forward by a punch press feeder according to a fixed step distance, thus a plurality of processes, generally punching, blanking, bending, trimming, stretching and the like, can be finished on a pair of dies, and the progressive die is characterized in that:
1. the progressive die is a multitasking die, and in a pair of dies, the progressive die can comprise a plurality of working procedures such as blanking, bending forming, stretching and the like, so that the progressive die has high productivity;
2. The progressive die operation is safe;
3. The automation is easy;
4. Can be produced by a high-speed punch;
5. the punching machine, the site area and the transportation and warehouse occupation of semi-finished products can be reduced;
6. Parts with extremely high size requirements are not suitable for production by using progressive dies;
At present, the machining precision of progressive die is relatively lower for special stamping die, simultaneously, detection of the precision stamping progressive die is carried out through manual detection mode at present, manual detection efficiency is low, machining equipment cannot be monitored in real time, sweeps can not be removed in time in a chip groove during machining, machining effect and efficiency are affected, and therefore, an automatic conveying detection system of the precision stamping progressive die is provided.
Disclosure of Invention
The invention provides an automatic conveying and detecting system for a precision stamping progressive die, which aims to solve the defects in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
The automatic conveying detection system for the precision stamping progressive die comprises a die image acquisition unit, a die image preprocessing unit, an image data characteristic extraction unit and a data comparison detection unit;
The die image acquisition unit captures and processes images of progressive dies in real time and sends acquired progressive die image data information to the die image preprocessing unit through the high-definition camera, die image acquisition is an important step of real-time image processing, only images of the dies are acquired first, subsequent work can be performed, and the method is the most basic premise of image processing and application.
The die image preprocessing unit is used for carrying out digital image preprocessing and noise processing on the die image acquired by the die image acquisition unit and sending the preprocessed image data information to the image data feature extraction unit;
the image data feature extraction unit is used for receiving the die image sent by the die image preprocessing unit, and carrying out automatic extraction processing on the size, the surface color and the die shape parameters of the die according to the received die image;
The data comparison detection unit is used for receiving the image data characteristic related parameters sent by the image data characteristic extraction unit, analyzing and comparing the size, the color and the shape of the acquired product image according to the received characteristic parameters, and sending the analyzed error data information to the error analysis unit;
The error analysis unit is used for receiving the error data information sent by the data comparison detection unit and analyzing and processing factors influencing the detection precision of the system in actual measurement according to the received error data.
The device further comprises a database, a data display unit and a product marking unit, wherein the database is used for recording and storing the size, the shape specification and the color related parameters of the precision stamping progressive die, so that the data comparison detection unit is convenient to call and compare;
The product marking unit is used for marking whether the precision stamping progressive die analyzed by the error analysis unit is qualified or not, and sending marked related data information to the data display unit;
The data display unit is used for displaying the data features extracted by the image data feature extraction unit, the error results analyzed by the error analysis unit and the product state marked by the product marking unit.
Further, the die image preprocessing unit comprises an image preprocessing module, a die image noise processing module and a comprehensive filtering analysis module;
The image preprocessing module is used for preprocessing images which are originally collected, such as image transformation, segmentation, coding compression, decompression, restoration, description, classification and images, and mainly carries out noise processing on the original images, and filtering of image noise is realized by adopting different filtering methods, wherein the specific image preprocessing methods comprise image transformation, gray level transformation and histogram transformation;
The image transformation comprises Fourier transformation, discrete cosine transformation, hadamard transformation and Walsh transformation;
the gray scale transformation comprises two methods of linear and nonlinear transformation;
the histogram transformation includes two forms of histogram equalization and histogram specification;
The die image noise processing module is used for carrying out filtering processing of median filtering and mean filtering on the acquired image so as to carry out contrast analysis at a later stage and determine a filtering method of the image which is preferably used;
The median filtering is a commonly used nonlinear filtering method, which is very effective in smoothing impulse noise, and can protect sharp edges of images, the weighted median filtering can improve the edge signal retaining effect of median filtering, but when the filtering processing is carried out on the images with strong direction, direction information is introduced, and the median filtering is the most commonly used preprocessing technology in the image processing technology, and examples are: a one-dimensional sequence f 1,f2,…,fn is arranged, the number of the window points is m (odd number), median filtering is carried out on the window points, namely m numbers f i-v,…,fi-1,fi,fi+1,…,fi+v (wherein f i is a window center value and v= (m-1)/2) are sequentially extracted from an input sequence, the m points are ordered according to the size sequence, and the center point value of the sequence number is taken as filtering output; describing by mathematical expression, the formula is as follows:
Y i=Med{fi-v,...,fi-1,fi,fi+1,...,fi+v, where i e N, v= (m-1)/2, Y i is called the median of the sequence, med represents the median process;
The average filtering is to use 8 pixels around each pixel to perform average operation, so that the image can be smoothed, the speed is high, the algorithm is simple, but noise cannot be removed, and only weak reduction is achieved, so that the application of the method in noise processing is less, the average filtering is a linear filtering method, the average filtering is mostly calculated by adopting a neighborhood average method, the basic principle is to replace the value of the corresponding pixel in the original image by using the average, and the calculation process is as follows:
Assuming that there is an additive white noise p (m, n) in one image, whose mean is 0, the noise power (variance) is a 2, and the noise and image f (m, n), if not correlated, the noisy image f' (m, n) can be expressed as:
f' (m, n) =f (m, n) +p (m, n), and the domain-averaged image g (m, n) can be expressed as follows:
Where s is the set of neighbor-in points at the (m, n) point, it can be seen from the above transformation that the image is changed from the original f (m, n)/> Thus, image distortion or blurring may occur, and there are two types of templates commonly used in such image processing methods: four-point neighborhood M 4 and eight-point neighborhood M 8, and the sum of the coefficient values in the neighborhood is 1;
The two templates M 4 and M 8 are shown below:
Further, the specific operation method of the die image acquisition unit for capturing the camera is as follows:
1) And (3) hardware connection: the USB camera is correctly connected to a USB interface of the computer through a cable;
2) Creating an image capturing window, creating a Visual Basic item in a precision stamping progressive die detection system, adding a module for the Visual Basic item, adding a Picture Box on a form, and setting a button and a capture as a stored Picture;
3) Writing program code and debugging: clicking the "start" button starts capturing images.
Further, the data comparison detection unit comprises a die surface temperature detection module, a die surface foreign matter detection module, a waste chute detection module and a wedge reset detection module;
The mold surface temperature detection module detects the temperature of the surface of the precision stamping progressive mold by adopting a non-contact infrared thermal imager, the infrared thermal imager receives an infrared radiation energy distribution pattern of a detected target by utilizing an infrared detector and an optical imaging objective lens and reflects the infrared radiation energy distribution pattern onto a photosensitive element of the infrared detector, so that an infrared thermal image is obtained, the thermal image corresponds to a thermal distribution field of the surface of an object, and the mold working environment is very bad, such as vibration and high noise, if a contact type temperature sensor is selected for testing, the service life of the sensor is shortened, the quality of the mold detection surface is damaged, and the precision of the contact type temperature sensor is low, so that the non-contact type infrared thermal imager is selected for temperature detection;
The foreign matter detection module on the surface of the die is used for scanning the surface of the die through the high-definition camera, acquiring images and comparing the images with a standard image shot before, if the die is checked to have foreign matters and the foreign matters are displayed through the data display unit to be red, maintenance staff performs maintenance treatment, and the foreign matter detection device adopts a fully embedded structure, has two comparison modes of dynamic and static, and has convenient operation setting: besides the functions of capturing images, semitransparent display, sensitivity adjustment, multi-parameter storage and the like, the functions of front-back bidirectional video image detection and accurate difference image information are adopted, the adopted special algorithm enables the acquisition resolution ratio of VGA output and a camera to be displayed as 1:1, clear display can be realized on a data display unit, NTSC automatic identification is adopted between an image comparator and a high-definition camera, a transmitted signal is an AV signal, an output configuration interface of the image comparator is RS232, an output signal is a VGA analog signal, and the working speed can reach 60 times/ms.
Further, the waste chute detection module is used for monitoring and counting waste which is blocked in the chute and cannot be normally discharged in the process of trimming or punching through the high-definition camera, so that the waste is effectively prevented from being blocked in the chute and cannot be discharged, and the production efficiency is affected;
The specific detection working process is as follows:
1) In the production process, once for each stamping, the waste material theoretically slides down the hole once, and the photoelectric switch counts once;
2) If the stamping is performed for more than three times, the photoelectric switch does not count, or the stamping times are more than 3 times of the counting times of the photoelectric switch, the waste is considered to be blocked;
3) After the waste is blocked, alarming is carried out, and an operator further confirms the blocking condition through observing through a camera;
4) After the stuck materials are removed, the system automatically removes an alarm state, the photoelectric switch counts and recovers, and normal production is started;
The inclined wedge reset detection module is used for preventing the proximity switch from taking signals when the inclined wedge cannot be reset normally to affect the normal operation of a rear die due to the reset element, the system starts the automatic alarm device to perform fault alarm processing, so that workers can maintain equipment conveniently according to alarm sounds, and the processing precision and the automatic processing effect of the inclined wedge reset detection module are improved effectively.
Further, the error analysis unit affects a plurality of factors of the system detection precision in actual measurement, mainly including the following aspects: influence of a light source, influence of a light path and software algorithm error factors;
Influence of the light source: the detection based on the image is greatly influenced by the light source, mainly because the extraction of the image fundamentally depends on the change of gray values, the mold is very sensitive to the angle and the intensity of the light source, and the extremely small angle deviation can cause extremely different image quality;
influence of the light path: as with size detection, imaging noise caused by uneven light intensity of a view field in an illumination system can influence imaging quality, so that false identification of detection is caused;
The software algorithm error: since the binarization in the detection algorithm is only done for black or self-targeted at a time, only a few quantitative features like area and length can be obtained in steps in the combined defect.
Further, the output end of the die image acquisition unit is connected with the input end of the die image preprocessing unit, the output end of the die image preprocessing unit is connected with the input end of the image data characteristic extraction unit, the output end of the image data characteristic extraction unit is respectively connected with the input ends of the data display unit and the data comparison detection unit, the output end of the data comparison detection unit is respectively connected with the input ends of the data display unit and the error analysis unit, the data comparison detection unit is in bidirectional connection with the database, the output end of the error analysis unit is respectively connected with the input ends of the data display unit and the product marking unit, and the output end of the product marking unit is connected with the input end of the data display unit.
Further, the output ends of the image preprocessing module, the die image noise processing module and the comprehensive filtering analysis module are respectively connected with the input end of the image data characteristic extraction unit.
Further, the output ends of the mold surface temperature detection module, the foreign matter detection module on the mold surface, the waste chute detection module and the inclined wedge reset detection module are respectively connected with the input ends of the data display unit and the error analysis unit.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, by installing the die image acquisition unit, the die image preprocessing unit, the image data characteristic extraction unit and the data comparison detection unit, the real-time acquisition, the image preprocessing, the image data characteristic extraction, the data comparison and the error analysis processing are carried out on the precision stamping progressive die, so that the effect and the efficiency of detecting the precision stamping progressive die are effectively improved.
Drawings
FIG. 1 is a block diagram of an overall system of an automatic conveying and detecting system for a progressive die for precision stamping according to the present invention;
FIG. 2 is a block diagram of a die image preprocessing unit of the automatic conveying detection system for the precision stamping progressive die provided by the invention;
FIG. 3 is a block diagram of a data comparison detection unit of the automatic conveying detection system for the progressive die for precision stamping according to the present invention;
Fig. 4 is a basic flowchart of an image acquisition by a USB camera of the automatic conveying and detecting system for a precision stamping progressive die provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. Furthermore, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in the present invention will be understood by those skilled in the art in detail, and the present invention will be further described in detail with reference to the accompanying drawings.
Example 1: referring to fig. 1-4: the automatic conveying detection system for the precision stamping progressive die comprises a die image acquisition unit, a die image preprocessing unit, an image data characteristic extraction unit and a data comparison detection unit;
The method comprises the steps that a die image acquisition unit captures and processes images of progressive dies in real time and sends acquired progressive die image data information to a die image preprocessing unit through a high-definition camera, die image acquisition is an important step of real-time image processing, subsequent work can be performed only by acquiring images of the dies, and the method is an essential premise of image processing and application, in the system based on image detection, clear image information of the tested dies is firstly acquired, then a series of image analysis and preprocessing are performed, finally detection of the die size is realized, the shape, color, texture and other information of objects are acquired through the high-definition camera, corresponding characteristic parameters of the objects are obtained through image processing, and the qualification degree of the precision stamping progressive die is judged;
The die image preprocessing unit is used for carrying out digital image preprocessing and noise processing on the die image acquired by the die image acquisition unit and sending the preprocessed image data information to the image data feature extraction unit;
The image data characteristic extraction unit is used for receiving the die image sent by the die image preprocessing unit, and carrying out automatic extraction processing on the size, the surface color and the die shape parameters of the die according to the received die image;
The data comparison detection unit is used for receiving the image data characteristic related parameters sent by the image data characteristic extraction unit, analyzing and comparing the size, the color and the shape of the acquired product image according to the received characteristic parameters, and sending the analyzed error data information to the error analysis unit;
The error analysis unit is used for receiving the error data information sent by the data comparison detection unit and analyzing and processing factors influencing the detection precision of the system in actual measurement according to the received error data.
The invention also comprises a database, a data display unit and a product marking unit, wherein the database is used for recording and storing the size, the shape specification and the color related parameters of the precision stamping progressive die, so that the data comparison detection unit is convenient for the adjustment and comparison processing;
the product marking unit is used for marking whether the precision stamping progressive die analyzed by the error analysis unit is qualified or not, and sending the marked related data information to the data display unit;
the data display unit is used for displaying the data features extracted by the image data feature extraction unit, the error results analyzed by the error analysis unit and the product state marked by the product marking unit.
In the invention, the die image preprocessing unit comprises an image preprocessing module, a die image noise processing module and a comprehensive filtering analysis module;
The image preprocessing module is used for carrying out image transformation, segmentation, encoding compression, decompression and restoration, description and classification and preprocessing of images on the original acquired images, the method is mainly used for carrying out noise processing on the original images, and filtering of image noise is realized by adopting different filtering methods, and specific image preprocessing methods comprise image transformation, gray level transformation and histogram transformation;
the image transforms include fourier transforms, discrete cosine transforms, hadamard transforms, and walsh transforms;
gray scale transformation includes both linear and nonlinear transformation methods;
the histogram transformation includes two forms of histogram equalization and histogram specification;
The mould image noise processing module is used for carrying out filtering processing of median filtering and mean filtering on the acquired images so as to carry out contrast analysis in the later period and determine a filtering method of the images which are preferably used;
The median filtering is a commonly used nonlinear filtering method, which is very effective in smoothing impulse noise, and can protect sharp edges of images, and the weighted median filtering can improve the edge signal retaining effect of median filtering, but when the filtering processing is performed on the images with strong direction, direction information is introduced, and the median filtering is the most commonly used preprocessing technology in the image processing technology, and examples are: a one-dimensional sequence f 1,f2,…,fn is arranged, the number of the window points is m (odd number), median filtering is carried out on the window points, namely m numbers f i-v,…,fi-1,fi,fi+1,…,fi+v (wherein f i is a window center value and v= (m-1)/2) are sequentially extracted from an input sequence, the m points are ordered according to the size sequence, and the center point value of the sequence number is taken as filtering output; describing by mathematical expression, the formula is as follows:
y i=Med{fi-v,...,fi-1,fi,fi+1,...,fi+v, where i e N, v= (m-1)/2, Y i is called the median of the sequence, med represents the median process;
The average filtering is to make the average operation of 8 pixels around each pixel, so that the image can be smoothed, the speed is high, the algorithm is simple, but the noise cannot be removed, and only the noise can be reduced slightly, so that the method is less applied in noise processing, the average filtering is a linear filtering method, the average filtering is mostly calculated by adopting a neighborhood average method, the basic principle is to replace the value of the corresponding pixel in the original image by the average value, and the calculation process is as follows:
Assuming that there is an additive white noise p (m, n) in one image, whose mean is 0, the noise power (variance) is a 2, and if the noise is not correlated with the image f (m, n), the noisy image f' (m, n) can be expressed as:
f' (m, n) =f (m, n) +p (m, n), and the domain-averaged image g (m, n) can be expressed as follows:
Where s is the set of neighbor-in points at the (m, n) point, it can be seen from the above transformation that the image is changed from the original f (m, n)/> Thus, image distortion or blurring may occur, and there are two types of templates commonly used in such image processing methods: four-point neighborhood M 4 and eight-point neighborhood M 8, and the sum of the coefficient values in the neighborhood is 1;
The two templates M 4 and M 8 are shown below:
In the invention, the specific operation method of the die image acquisition unit for capturing the camera is as follows:
1) And (3) hardware connection: the USB camera is correctly connected to a USB interface of the computer through a cable;
2) Creating an image capturing window, creating a Visual Basic item in a precision stamping progressive die detection system, adding a module for the Visual Basic item, adding a Picture Box on a form, and setting a button and a capture as a stored Picture;
3) Writing program code and debugging: clicking the "start" button starts capturing images.
In the invention, the data comparison detection unit comprises a die surface temperature detection module, a die surface foreign matter detection module, a waste chute detection module and a wedge reset detection module;
The mold surface temperature detection module detects the temperature of the surface of the precision stamping progressive mold by adopting a non-contact infrared thermal imager, the infrared thermal imager receives an infrared radiation energy distribution pattern of a detected target by utilizing an infrared detector and an optical imaging objective lens and reflects the infrared radiation energy distribution pattern onto a photosensitive element of the infrared detector, so that an infrared thermal image is obtained, the thermal image corresponds to a thermal distribution field of the surface of an object, and the mold working environment is very bad, such as vibration and high noise, if a contact type temperature sensor is selected for testing, the service life of the sensor is shortened, the quality of the mold detection surface is damaged, and the precision of the contact type temperature sensor is low, so that the non-contact type infrared thermal imager is selected for temperature detection;
The foreign matter detection module on the surface of the die scans the surface of the die through the high-definition camera, acquires images and compares the images with the standard images shot before, if the inspection die is provided with foreign matters and the foreign matters are displayed to be red through the data display unit, maintenance staff carries out maintenance treatment, the foreign matter detection device adopts a fully embedded structure, has two comparison modes of dynamic and static, and has convenient operation setting: besides the functions of capturing images, semitransparent display, sensitivity adjustment, multi-parameter storage and the like, the functions of front-back bidirectional video image detection and accurate difference image information are adopted, the adopted special algorithm enables the acquisition resolution ratio of VGA output and a camera to be displayed as 1:1, clear display can be realized on a data display unit, NTSC automatic identification is adopted between an image comparator and a high-definition camera, a transmitted signal is an AV signal, an output configuration interface of the image comparator is RS232, an output signal is a VGA analog signal, and the working speed can reach 60 times/ms.
According to the invention, the waste chute detection module is used for monitoring and counting the waste which is blocked in the chute and cannot be normally discharged in the process of trimming or punching through the high-definition camera, so that the phenomenon that the waste is blocked in the chute and cannot be discharged is effectively avoided, and the production efficiency is influenced;
The specific detection working process is as follows:
1) In the production process, once for each stamping, the waste material theoretically slides down the hole once, and the photoelectric switch counts once;
2) If the stamping is performed for more than three times, the photoelectric switch does not count, or the stamping times are more than 3 times of the counting times of the photoelectric switch, the waste is considered to be blocked;
3) After the waste is blocked, alarming is carried out, and an operator further confirms the blocking condition through observing through a camera;
4) After the stuck materials are removed, the system automatically removes an alarm state, the photoelectric switch counts and recovers, and normal production is started;
The inclined wedge reset detection module is used for preventing the proximity switch from taking signals when the inclined wedge cannot be reset normally to affect the normal operation of a rear die due to the reset element, the system starts the automatic alarm device to perform fault alarm processing, so that workers can maintain equipment according to alarm sounds, and the processing precision and the automatic processing effect of the equipment are improved effectively.
In the invention, the error analysis unit influences a plurality of factors of the system detection precision in actual measurement, and mainly comprises the following aspects: influence of a light source, influence of a light path and software algorithm error factors;
Influence of light source: the detection based on the image is greatly influenced by the light source, mainly because the extraction of the image fundamentally depends on the change of gray values, the mold is very sensitive to the angle and the intensity of the light source, and the extremely small angle deviation can cause extremely different image quality;
Influence of the light path: as with size detection, imaging noise caused by uneven light intensity of a view field in an illumination system can influence imaging quality, so that false identification of detection is caused;
software algorithm error: since the binarization in the detection algorithm is only done for black or self-targeted at a time, only a few quantitative features like area and length can be obtained in steps in the combined defect.
In the invention, the output end of the die image acquisition unit is connected with the input end of the die image preprocessing unit, the output end of the die image preprocessing unit is connected with the input end of the image data characteristic extraction unit, the output end of the image data characteristic extraction unit is respectively connected with the input ends of the data display unit and the data comparison detection unit, the output end of the data comparison detection unit is respectively connected with the input ends of the data display unit and the error analysis unit, the data comparison detection unit is in bidirectional connection with the database, the output end of the error analysis unit is respectively connected with the input ends of the data display unit and the product marking unit, and the output end of the product marking unit is connected with the input end of the data display unit.
In the invention, the output ends of the image preprocessing module, the die image noise processing module and the comprehensive filtering analysis module are respectively connected with the input end of the image data characteristic extraction unit.
In the invention, the output ends of the mold surface temperature detection module, the foreign matter detection module on the mold surface, the waste chute detection module and the inclined wedge reset detection module are respectively connected with the input ends of the data display unit and the error analysis unit.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (10)
1. The automatic conveying detection system for the precision stamping progressive die is characterized by comprising a die image acquisition unit, a die image preprocessing unit, an image data characteristic extraction unit and a data comparison detection unit;
The die image acquisition unit is used for capturing and acquiring images of the progressive die in real time through the high-definition camera, and sending acquired progressive die image data information to the die image preprocessing unit;
The die image preprocessing unit is used for carrying out digital image preprocessing and noise processing on the die image acquired by the die image acquisition unit and sending the preprocessed image data information to the image data feature extraction unit;
the image data feature extraction unit is used for receiving the die image sent by the die image preprocessing unit, and carrying out automatic extraction processing on the size, the surface color and the die shape parameters of the die according to the received die image;
The data comparison detection unit is used for receiving the image data characteristic related parameters sent by the image data characteristic extraction unit, analyzing and comparing the size, the color and the shape of the acquired product image according to the received characteristic parameters, and sending the analyzed error data information to the error analysis unit;
The error analysis unit is used for receiving the error data information sent by the data comparison detection unit and analyzing and processing factors influencing the detection precision of the system in actual measurement according to the received error data.
2. The automatic conveying detection system of the precision stamping progressive die, according to claim 1, is characterized by further comprising a database, a data display unit and a product marking unit, wherein the database is used for recording and storing the size, the shape specification and the color related parameters of the precision stamping progressive die, so that the data comparison detection unit is convenient to call and compare;
The product marking unit is used for marking whether the precision stamping progressive die analyzed by the error analysis unit is qualified or not, and sending marked related data information to the data display unit;
The data display unit is used for displaying the data features extracted by the image data feature extraction unit, the error results analyzed by the error analysis unit and the product state marked by the product marking unit.
3. The automatic conveying detection system of the precision stamping progressive die of claim 1, wherein the die image preprocessing unit comprises an image preprocessing module, a die image noise processing module and a comprehensive filtering analysis module;
the image preprocessing module performs image transformation, segmentation, encoding compression, decompression and restoration, description and classification and preprocessing of images on the originally acquired images, and specific image preprocessing methods comprise image transformation, gray level transformation and histogram transformation;
The die image noise processing module is used for carrying out filtering processing of median filtering and mean filtering on the acquired images so as to carry out comparison analysis at a later stage and determine a filtering method of the images which are preferably used.
4. The automatic conveying and detecting system for the precision stamping progressive die according to claim 1, wherein the specific operation method for capturing the camera by the die image acquisition unit is as follows:
1) And (3) hardware connection: the USB camera is correctly connected to a USB interface of the computer through a cable;
2) Creating an image capturing window, creating a visual basic item in a precision stamping progressive die detection system, adding a module for the visual basic item, adding a Picture Box on a form, and setting a button and a capture as a stored Picture;
3) Writing program code and debugging: clicking the "start" button starts capturing images.
5. The automatic conveying detection system of the precision stamping progressive die according to claim 1, wherein the data comparison detection unit comprises a die surface temperature detection module, a die surface foreign matter detection module, a waste chute detection module and a wedge reset detection module;
The mold surface temperature detection module detects the temperature of the surface of the precision stamping progressive mold by adopting a non-contact infrared thermal imager, the infrared thermal imager receives an infrared radiation energy distribution pattern of a detected target by utilizing an infrared detector and an optical imaging objective lens and reflects the infrared radiation energy distribution pattern onto a photosensitive element of the infrared detector, and an infrared thermal image is obtained, and corresponds to a thermal distribution field of the surface of an object;
The foreign matter detection module on the surface of the die scans the surface of the die through the high-definition camera, acquires images and compares the images with the previously shot standard graph, and if the die is checked to have foreign matters and the data display unit displays the foreign matters to be red, maintenance staff carries out maintenance treatment.
6. The automatic conveying and detecting system for the precision stamping progressive die of claim 5, wherein the waste chute detecting module is used for monitoring and counting waste which is blocked in a chute and cannot be normally discharged in a trimming or punching process through a high-definition camera;
The inclined wedge reset detection module is used for preventing the proximity switch from taking a signal when the inclined wedge cannot be reset normally due to the reset element to influence the normal operation of the rear die, and the system starts the automatic alarm device to perform fault alarm processing, so that a worker can maintain equipment conveniently according to alarm sounds.
7. The automatic conveying and detecting system for the precision stamping progressive die according to claim 1, wherein the error analyzing unit has a plurality of factors influencing the detecting precision of the system in actual measurement, and mainly comprises the following aspects: the influence of the light source, the influence of the light path and software algorithm error factors.
8. The automatic conveying detection system for the precision stamping progressive die according to claim 2, wherein the output end of the die image acquisition unit is connected with the input end of the die image preprocessing unit, the output end of the die image preprocessing unit is connected with the input end of the image data characteristic extraction unit, the output end of the image data characteristic extraction unit is respectively connected with the input ends of the data display unit and the data comparison detection unit, the output end of the data comparison detection unit is respectively connected with the input ends of the data display unit and the error analysis unit, the data comparison detection unit is in bidirectional connection with the database, the output end of the error analysis unit is respectively connected with the input ends of the data display unit and the product marking unit, and the output end of the product marking unit is connected with the input end of the data display unit.
9. The automatic conveying and detecting system for the precision stamping progressive die according to claim 3, wherein the output ends of the image preprocessing module, the die image noise processing module and the comprehensive filtering and analyzing module are respectively connected with the input end of the image data characteristic extracting unit.
10. The automatic conveying and detecting system for the precision stamping progressive die according to claim 5, wherein the output ends of the die surface temperature detecting module, the foreign matter detecting module on the die surface, the waste chute detecting module and the inclined wedge resetting detecting module are respectively connected with the input ends of the data display unit and the error analyzing unit.
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