CN110281293B - Deviation rectifying method - Google Patents
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- CN110281293B CN110281293B CN201910509433.2A CN201910509433A CN110281293B CN 110281293 B CN110281293 B CN 110281293B CN 201910509433 A CN201910509433 A CN 201910509433A CN 110281293 B CN110281293 B CN 110281293B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D5/00—Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
- B26D5/007—Control means comprising cameras, vision or image processing systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D7/00—Details of apparatus for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
- B26D7/01—Means for holding or positioning work
- B26D7/015—Means for holding or positioning work for sheet material or piles of sheets
Abstract
The application provides a deviation rectifying method for material cutting equipment, which comprises the following steps: acquiring an image of the material; acquiring a plurality of width data of the material according to the image; calculating the discrete degree of the filtered width data; judging whether the discrete degree meets a preset stability requirement or not; and when the discrete degree meets the preset stability requirement, obtaining the width average value of the material, and rectifying the deviation of the material cutting equipment according to the width average value. In this application, through real-time detection width data, after judging that the discrete degree of width data accords with stability requirement, according to the average value is to material cutting equipment rectifies, is favorable to in time rectifying to the width anomaly, reduces the human cost, avoids causing equipment frequent shut down because of rectifying, and through stability requirement's judgement, gets rid of the great width data of deviation, is favorable to improving the effect of rectifying to improve the cutting accuracy of material.
Description
Technical Field
The application relates to the field of battery manufacturing, in particular to a deviation rectifying method.
Background
In the cutting process of battery materials, once the width is abnormal, an operator usually adjusts the width after stopping the machine to eliminate the abnormality, and the machine is restarted to operate after the adjustment is completed, so that the production efficiency is inevitably reduced due to the stopping of the machine. More seriously, once the operator does not adjust in time after the width is abnormal, the risk of scrapping a large quantity of materials can be generated, so the operator must pay attention to whether the product is abnormal or not at all times, and the increase of the labor cost is inevitably caused.
Disclosure of Invention
The application provides a deviation rectifying method for improving material cutting precision.
The application provides a deviation rectifying method for material cutting equipment, which comprises the following steps: acquiring an image of the material; acquiring a plurality of width data of the material according to the image; filtering the width data of the abnormity; calculating the discrete degree of the filtered width data; judging whether the discrete degree meets a preset stability requirement or not; and when the discrete degree meets the preset stability requirement, obtaining a width average value, and rectifying the deviation of the material cutting equipment according to the width average value.
Further, the deviation rectifying method comprises the following steps: filtering the abnormal width data before calculating the discrete degree of the width data; wherein, the discrete degree of the width data is the discrete degree of the filtered width data.
Further, the deviation rectifying method comprises the following steps: after filtering the abnormal width data, judging whether the number of the filtered width data reaches a preset number or not; when the filtered width data reach the preset number, calculating the discrete degree of the filtered width data; and when the filtered width data does not reach the preset number, continuously acquiring the images of the materials.
Further, filtering width data of the anomaly includes: judging whether the width data is within a first preset range or not; and filtering the width data outside the first preset range.
Further, filtering width data of the anomaly includes: obtaining the width subdata of a plurality of subregions of the material in one image; removing extreme values of the plurality of width subdata and then averaging to obtain a first width average value; judging whether the first width mean value is within a second preset range; filtering width data corresponding to the first width mean value outside a second preset range; wherein the plurality of sub-regions are arranged along the length of the material.
Further, filtering width data of the anomaly includes: removing extreme values from the width data, and then averaging to obtain a second width average value; calculating the difference between the second width mean value and the width data of the nth image to obtain a first width difference value; and when the first width difference value is larger than a first threshold value, filtering the width data of the nth image.
Further, filtering width data of the anomaly includes: performing difference calculation on the width data of the nth image and the width data of the (n-1) th image to obtain a second width difference value; and when the first width difference value is larger than a first threshold value and the second width difference value is larger than a second threshold value, filtering the width data of the nth image.
Further, the width data is an average value of the width sub-data of the plurality of sub-regions of the image.
Further, when the discrete degree of the width data does not meet the preset stability requirement continuously or for multiple times, the material cutting equipment sends out an alarm prompt.
Further, material cutting equipment includes the cutter, the cutter is used for cutting initial material into two at least materials, according to the width average value material cutting equipment rectifies, includes: when the width average value is larger than the preset width of the material, controlling the cutter to move towards the width edge of the current material, wherein the moving distance is the difference value between the width average value and the preset width of the material; when the width average value is smaller than the preset width of the material, controlling the cutter to move away from the width edge of the current material, wherein the moving distance is the difference value between the preset width of the material and the width average value; or comparing the width mean values of the two materials, and controlling the cutter to move towards the width edge of the material with the larger width mean value, wherein the moving distance is half of the difference value of the width mean values of the two materials.
In this application, through real-time detection width data, after judging that the discrete degree of width data accords with stability requirement, it is right according to width mean value material cutting equipment rectifies, is favorable to in time rectifying to the width anomaly, effectively suppresses the quantity of unqualified material, reduces the human cost simultaneously, avoids causing equipment frequently to shut down because of rectifying, and through the judgement that stability required, gets rid of the great width data of deviation, is favorable to improving the effect of rectifying to improve the cutting accuracy of material.
Drawings
FIG. 1 is a schematic block diagram of a material cutting apparatus according to the present application;
FIG. 2 is a schematic elevation view of the material of the present application;
FIG. 3 is a logic diagram of an embodiment of the deviation rectification method of the present application;
FIG. 4 is a schematic view of a subregion of an image of the present application;
FIG. 5 is a flowchart illustrating an embodiment of filtering abnormal data according to the deviation rectifying method of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. Where the following description refers to the accompanying drawings, corresponding numbers in different drawings indicate corresponding or analogous elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the description and in the claims does not indicate any order, quantity, or importance, but rather is used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "a number" means two or more. The word "comprising" or "comprises", and the like, means that the element or item listed as preceding "comprising" or "includes" covers the element or item listed as following "comprising" or "includes" and its equivalents, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
The application provides a deviation rectifying method for material cutting equipment, which comprises the following steps: acquiring an image of the material; acquiring width data of the material according to each image; removing the maximum value and the minimum value in the width data, and calculating the discrete degree of the width data; judging whether the discrete degree of the width data meets the preset stability requirement or not; and when the discrete degree of the width data meets the preset stability requirement, obtaining the average value of the width data, and rectifying the deviation of the material cutting equipment according to the average value.
The material cutting equipment can be one of cutting equipment such as a splitting machine and a die cutting machine. Referring to fig. 1 and 2, in the present embodiment, a material cutting apparatus, such as a splitting machine, includes a cutting system 2 for cutting an initial material 1, a control system 3 for controlling the cutting system 2, and a detection system 4 for detecting materials 11 and 12, wherein the control system 3 is communicatively connected to the cutting system 2 and the detection system 4, respectively, and "the communicative connection" can be a wired connection or a wireless connection capable of performing signal transmission. The starting material 1 is a whole material before cutting, such as a pole piece, a protective film, etc., and has a large width, and is divided into a plurality of (two or more) materials after cutting, such as the materials 11 and 12. The control system 3 is, for example, a PLC controller. The detection system 4 comprises an image acquisition module 41 and a processing module 42 in communication connection with the image acquisition module 41, and the processing module 42 is in communication connection with the control system 3. The image obtaining module 41 is configured to obtain images of the material 1, such as images a1, a2, A3, and the processing module 42 identifies the images to obtain width data of the material. In this embodiment, the detection system is, for example, a CCD (Charge-coupled Device) detection system or a CMOS (complementary Metal Oxide Semiconductor) detection system, and the detection system 4 may also be used to detect width data of the initial material.
Referring to fig. 3, the deviation rectifying method of the present embodiment includes:
step S1: an image of material 11 is acquired.
Optionally, the image acquisition module may acquire images of item 11 and item 12 simultaneously, such as image a1, image a2, and image A3 shown in fig. 2. Since the materials 11 and 12 are separated at the rear and are wound up separately. Thus, the image acquisition module may acquire images of material 11 and material 12 while material 11 and material 12 remain coplanar.
Step S2: and acquiring a plurality of width data of the material according to the image.
The processing module 42 performs calculation processing on the image to obtain a plurality of width data of the material 11 and a plurality of width data of the material 12. In the subsequent steps, the processing module 42 may further process the width data of the material 11 and the width data of the material 12, respectively, and since the processing processes are basically similar, the embodiment only takes the material 11 as an example for description.
Step S3: the width data of the anomaly is filtered.
Step S3 is used to perform preliminary filtering on the obviously abnormal width data to avoid the influence of the obviously abnormal width data on the detection result, thereby affecting the deviation rectification precision.
In one embodiment, whether the width data is within a first preset range is judged, and when the width data is within the first preset range, the width data is preliminarily judged to be normal data; and when the width data is positioned outside the first preset range, judging the width data to be obviously abnormal width data, and filtering the width data positioned outside the first preset range. The first predetermined range can be understood as the most basic dimensional requirement for the material, which non-compliance would necessarily lead to rejection of the end product.
Referring to FIG. 5, in another embodiment, the filtering width data of the exception includes:
substep S31: and obtaining the width subdata of a plurality of subregions of the material in the image. Taking an image a10 (a part of the image a 1) of the material 11 as an example, please refer to fig. 4, which divides the image a10 into a plurality of sub-regions arranged along the length direction of the material, for example, into the sub-regions a11, a12, a13, and a14, and obtains the width of each of the sub-regions a11, a12, a13, and a14, that is, the width sub-data. It should be noted that the image a10 can be obtained directly by the image acquisition module, or the image acquisition module can directly obtain the image a1, and then process the image a10 selected from the image a 1.
Optionally, the width data in this embodiment is an average value of the width sub-data of a plurality of sub-areas of the corresponding image. The average value of the sub-region width subdata is closer to the actual width of the material in the image than the width data (actually, the width data of a certain sub-region) of the image obtained by direct detection.
Substep S32: for a plurality of width subdataAfter the extreme value is removed, the average value is taken to obtain a first width average value dmean1。
Optionally, the maximum value and the minimum value of the width sub-data are removed, the maximum value and the minimum value may be obtained by sorting, and the remaining width sub-data are averaged to obtain the first width average value d 1.
Substep S33: judging the first width mean value dmean1Whether it is within a second preset range.
Substep S34: filtering the first width mean value d outside the second preset rangemean1Width data of the corresponding image.
The second preset value range can be set according to experience, and the first width mean value d outside the second preset rangemean1The corresponding width data can be considered not to meet the precision requirement, and is filtered, and the first width mean value d in a second preset rangemean1The width data of the corresponding image meets the precision requirement. The substeps S31-S34 are repeated to determine whether each image requires filtering and to determine whether the corresponding width data needs to be filtered. After all the images are judged, the process of finishing the preliminary filtering can be selected.
Of course, in actual production, the data of the whole image may be abnormal data, and the width data corresponding to the image should be filtered. Since the change of the width data is continuous rather than abrupt, the abnormal width data can be filtered by analyzing the width data of a plurality of continuous images.
Continuing with FIG. 5, filtering the exception data further includes:
s35: removing extreme values from a plurality of width data, and then averaging to obtain a second width average value dmean2。
S36: for the second width mean value dmean2Calculating the difference between the width data dn of the nth image to obtain a first width difference value | dmean2Calculating the difference between the width data dn of the nth image and the width data dn-1 of the (n-1) th image to obtain a second width difference value | d |n-dn-1|。
Wherein the first width difference | dmean2-dn | and a second width difference | dnAnd-dn-1 | are absolute values of the difference, n is an integer greater than 1, and the nth image and the n-1 th image are two continuous images.
S37: when the first width difference | dmean2-dn | is greater than a first threshold Value1 and a second width difference | dnAnd when the Value of-dn-1 is larger than a second threshold Value2, the width data of the nth image is filtered. If the first width difference | dmean2-dn | is less than or equal to a first threshold Value1 or a second width difference | dnWhen-dn-1 | is less than or equal to the second threshold Value2, the width data of the nth image is retained.
The Value1 may be equal to or different from the Value2, and the Value1 is close to the Value2 in this embodiment, which may be determined based on experience and practical situations. By detecting the continuous images, the phenomenon that the width data which is abnormal due to omission is also used for subsequent calculation of the width mean value to influence the deviation rectifying precision is avoided.
Alternatively, in other embodiments, only | d may be determinedmean2-dn | is greater than Value 1. When the first width difference | dmean2When the Value of-dn is larger than the first threshold Value1, it is known that the width of dn is too large or too small, and the width data of the nth image is filtered, so as to avoid the influence on the rectification precision.
In one embodiment, after filtering the abnormal width data, it is determined whether the number of the filtered width data reaches a preset number, and the preset number may be set before or after the image is acquired. When the filtered width data reaches the preset number, calculating the discrete degree of the filtered width data, namely performing step S4; and when the filtered width data does not reach the preset number, continuously acquiring the images of the materials, and repeating the steps until the number of the filtered width data reaches the preset number. It can be understood that the control system controls the cutting system to make a deviation correction adjustment each time a predetermined number of filtered width data are obtained.
Step S4: the degree of dispersion of the filtered width data is calculated.
Optionally, the maximum value and the minimum value in the width data are removed, and the dispersion degree of the remaining width data is calculated.
The dispersion degree is used to reflect the degree of difference between the width data, and specifically may be one or more of variance, standard deviation, and average difference.
Step S5: and judging whether the discrete degree of the width data meets the preset stability requirement or not.
The stability requirement can be set when the material cutting equipment leaves a factory, and can also be set by an operator before the cutting system is started.
Step S6: and when the discrete degree meets the preset stability requirement, obtaining a width average value, and rectifying the deviation of the material cutting equipment according to the width average value.
In one embodiment, the width average is an average value of the filtered width data after the maximum value and the minimum value are removed, and the influence of the maximum value and the minimum value on the width average and the rectification effect can be eliminated. In another embodiment, the width average value may also be an average value of the plurality of width data after removing the extremum, or may be an average value of the plurality of width data directly. The "obtaining the average value of the width data" may be understood as calculating the width average value after removing the extremum from the filtered width data in step S6, or may be understood as calculating the width average value already at the time of calculating the dispersion degree in step S4 and calling in step S6. Wherein the average comprises at least one of an arithmetic average, a geometric average, a squared average, a harmonic average, and a weighted average.
The material cutting system 2 comprises a cutter for cutting the starting material 1 into at least two materials, i.e. materials 11, 12. Correcting the deviation of the material cutting equipment according to the width average value, and the method comprises the following steps: when the width average value is larger than the preset width of the material, controlling the cutter to move towards the width edge of the current material, wherein the moving distance is the difference value between the width average value and the preset width of the material; when the width mean value is smaller than the preset width of the material, the cutter is controlled to move away from the width edge of the current material, and the moving distance is the difference value between the preset width of the material and the width mean value. Where the width edge is the edge of the material 11 or 12 opposite the cut line 70, as follows. When the width mean value is equal to the preset value of the material, the width of the current material meets the requirement, and deviation rectification is not needed.
Of course, the width average value of the material 11 may also be compared with the width average value of the material 12, and when the width average value of the material 11 is greater than the width average value of the material 12, the cutter of the cutting device is controlled to move towards the width edge of the material 11 by a distance which is half of the difference between the width average value of the material 11 and the width average value of the material 12; when the width mean value of the material 11 is smaller than the width mean value of the material 12, controlling the cutter of the cutting equipment to move away from the width edge of the material 11, wherein the moving distance is half of the difference value between the width mean value of the material 12 and the width mean value of the material 11. Namely, the cutter of the material cutting equipment is controlled to move towards the width edge of the material with larger width mean value by half of the difference value of the width mean values of the two materials. When the width average value of the material 11 is equal to the width average value of the material 12, the width of the material 11 and the width of the material 12 meet the requirement, and deviation rectification is not needed.
And when the discrete degree does not meet the preset stability requirement, performing no deviation rectifying action. When the discrete degree does not meet the preset stability requirement continuously, for example, the discrete degree does not meet the preset stability requirement continuously twice, the material cutting equipment sends out an alarm prompt; or when the discrete degree does not meet the preset stability requirement for many times, such as three times of interruption, the material cutting equipment sends out an alarm prompt.
No matter whether the discrete degree is continuously not in accordance with the preset stability requirement or is not in accordance with the preset stability requirement for many times, the serious precision problem is shown to be generated, and a large batch of unqualified materials can be caused, so that the shutdown is needed, an operator is needed to intervene, and the root cause of the problem is searched. Optionally, the control system 3 controls the cutting system 2 to stop.
In this application, through real-time detection width data, after judging that the discrete degree of width data accords with stability requirement, it is right according to width mean value material cutting equipment rectifies, is favorable to in time rectifying to the width anomaly, effectively suppresses the quantity of unqualified material, reduces the human cost simultaneously, avoids causing equipment frequently to shut down because of rectifying, and through the judgement that stability required, gets rid of the great width data of deviation, is favorable to improving the effect of rectifying to improve the cutting accuracy of material.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A deviation rectifying method is used for material cutting equipment and is characterized by comprising the following steps:
acquiring an image of the material;
acquiring a plurality of width data of the material according to the image;
calculating the discrete degree of the width data;
judging whether the discrete degree meets a preset stability requirement or not;
and when the discrete degree meets the preset stability requirement, obtaining the width average value of the material, and rectifying the deviation of the material cutting equipment according to the width average value.
2. The deviation rectification method according to claim 1, characterized in that: the deviation rectifying method comprises the following steps:
filtering the abnormal width data before calculating the discrete degree of the width data;
wherein, the discrete degree of the width data is the discrete degree of the filtered width data.
3. The deviation rectification method according to claim 2, wherein: the deviation rectifying method comprises the following steps: after filtering the abnormal width data, judging whether the number of the filtered width data reaches a preset number or not;
when the filtered width data reach the preset number, calculating the discrete degree of the filtered width data;
and when the filtered width data does not reach the preset number, continuously acquiring the images of the materials.
4. The deviation rectification method according to claim 2, wherein: filtering width data of the anomaly includes:
judging whether the width data is within a first preset range or not;
and filtering the width data outside the first preset range.
5. The deviation rectification method according to claim 2, wherein: filtering width data of the anomaly includes:
obtaining the width subdata of a plurality of subregions of the material in one image;
removing extreme values of the plurality of width subdata and then averaging to obtain a first width average value;
judging whether the first width mean value is within a second preset range;
filtering the width data of the image corresponding to the first width mean value outside the second preset range;
wherein the plurality of sub-regions are arranged along the length of the material.
6. The deviation rectification method according to claim 5, wherein: filtering width data of the anomaly includes:
removing extreme values from the width data, and then averaging to obtain a second width average value;
calculating the difference between the second width mean value and the width data of the nth image to obtain a first width difference value;
and when the first width difference value is larger than a first threshold value, filtering the width data of the nth image.
7. The deviation rectification method according to claim 6, wherein: filtering width data of the anomaly includes:
performing difference calculation on the width data of the nth image and the width data of the (n-1) th image to obtain a second width difference value;
and when the first width difference value is larger than a first threshold value and the second width difference value is larger than a second threshold value, filtering the width data of the nth image.
8. The deviation rectifying method according to any one of claims 1 to 7, wherein: the width data is an average value of the width sub-data of a plurality of sub-areas of the image.
9. The deviation rectifying method according to any one of claims 1 to 7, wherein: and when the discrete degree of the width data is continuously or repeatedly not in accordance with the preset stability requirement, the material cutting equipment sends out an alarm prompt.
10. The deviation rectifying method according to any one of claims 1 to 7, wherein: the material cutting device comprises a cutter for cutting the initial material into at least two materials,
correcting the deviation of the material cutting equipment according to the width average value, and the method comprises the following steps: when the width average value is larger than the preset width of the material, controlling the cutter to move towards the width edge of the current material, wherein the moving distance is the difference value between the width average value and the preset width of the material; when the width average value is smaller than the preset width of the material, controlling the cutter to move away from the width edge of the current material, wherein the moving distance is the difference value between the preset width of the material and the width average value;
or according to the width average value, rectifying deviation of the material cutting equipment, comprising: and comparing the width mean values of the two materials, and controlling the cutter to move towards the width edge of the material with the larger width mean value, wherein the moving distance is half of the difference value of the width mean values of the two materials.
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| JP4649125B2 (en) * | 2004-06-09 | 2011-03-09 | 株式会社ムラキ | Reference hole drilling machine and error correction method thereof |
| CN208663953U (en) * | 2018-08-08 | 2019-03-29 | 岳阳今华医疗器械有限公司 | A kind of crosscutting cutting machine with deviation-correcting function |
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| JP4649125B2 (en) * | 2004-06-09 | 2011-03-09 | 株式会社ムラキ | Reference hole drilling machine and error correction method thereof |
| CN208663953U (en) * | 2018-08-08 | 2019-03-29 | 岳阳今华医疗器械有限公司 | A kind of crosscutting cutting machine with deviation-correcting function |
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