Plastic packaging equipment operation process precision calibration system and method

Abstract

The invention relates to the technical field of equipment precision calibration, and discloses a plastic packaging equipment operation process precision calibration system and method, and the system comprises a packaging operation defect detection module, a packaging operation error statistics module, and a packaging operation error calibration execution module. A length measuring instrument is adopted to conveniently and accurately collect packaging error size parameters of packaging operation, and real data support is provided for scientifically analyzing standard error calibration parameters of plastic packaging equipment; standardizing preset standard error calibration parameters of the plastic packaging equipment, combining an intelligent identification algorithm and packaging error size mean value parameters of packaging operation to scientifically analyze the error calibration parameters of the plastic packaging equipment, and intelligently evaluating the standard error calibration parameters of the plastic packaging equipment corresponding to packaging size errors of different packaging boxes; and the packaging operation error calibration precision of the plastic packaging equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment precision calibration, and in particular to a system and method for precision calibration of an operation process of plastic packaging equipment. Background Art

[0002] Plastic packaging equipment refers to machinery that can complete all or part of the product and commodity packaging process. The packaging process includes the main processes such as filling, wrapping, sealing, and related processes before and after, such as cleaning, stacking and disassembly. Packaging also includes processes such as metering or stamping on the package. Using machinery to package products can improve productivity, reduce labor intensity, adapt to the needs of large-scale production, and meet the requirements of cleanliness and hygiene. The packaging process includes the main processes such as filling, wrapping, sealing, and related processes before and after, such as cleaning, feeding, stacking and disassembly. In addition, packaging also includes processes such as metering or printing the date on the package. Using packaging equipment to package products can improve productivity, reduce labor intensity, adapt to the needs of large-scale production, and meet the requirements of cleanliness and hygiene. During the packaging process, plastic packaging equipment needs to cut sealing and fixing materials such as tape and strapping tape to complete the fixed sealing of the packaging box opening. However, during the use of plastic packaging equipment, factors such as the equipment operating status, the location of the packaging box, and the model cause the actual cutting size of the sealing and fixing materials to not meet the standard cutting size, resulting in a mismatch between the size of the sealing and fixing materials and the size of the packaging box opening, which not only affects the appearance of the packaged product, but also affects the structural strength of the packaged product. Current plastic packaging equipment cannot dynamically and accurately calibrate the cutting size accuracy of the sealing and fixing materials based on the packaging operation results, which reduces the quality of the packaging operation.

[0003] The Chinese invention patent with announcement number CN108955743B discloses a method and device for improving the calibration accuracy of measuring equipment based on machine learning, which samples the mean and variance of the readings and uses the specific voltage output by the standard source as the calibration voltage. The device to be calibrated samples the voltage input by the standard source multiple times and records the readings of all input voltage samples, updates the mean of the sampled readings and the estimation of the variance of the sampled readings of the measuring equipment; at the same time, the mean of the sampled readings of the corresponding measuring equipment is obtained for each calibration voltage, and the obtained mean of the sampled readings of the measuring equipment is used for data fitting, and the fitting result is recorded as the calibration result. However, the above technical solution cannot autonomously and accurately adjust the measurement error of the measuring equipment based on the calibration results. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the actual cutting size of the sealing and fixing materials of the above-mentioned plastic packaging equipment does not meet the standard cutting size due to factors such as the equipment operating status, the position and model of the packaging box during use, thereby causing the size of the sealing and fixing materials to not match the standard cutting size, which not only affects the appearance of the packaged products, but also affects the structural strength of the packaged products. The current plastic packaging equipment cannot dynamically and accurately calibrate the cutting size accuracy of the sealing and fixing materials based on the packaging operation results, which reduces the quality of the packaging operation. The above purpose is to accurately analyze the packaging defect type results of the packaging box, accurately measure the packaging error size parameters, scientifically and statistically measure the mean value of the packaging error size, intelligently analyze the precision calibration parameters of the plastic packaging equipment, independently calculate the cutting size parameters of the plastic packaging equipment, and efficiently execute the precision calibration operation of the plastic packaging equipment.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical scheme: a method for calibrating the accuracy of the operation process of plastic packaging equipment, the method comprising the following steps:

[0008] S1, collecting packaging box packaging result image data;

[0009] S2, performing packaging defect type result analysis processing of the packaging operation based on the packaging result image data of the packaging box and the packaging defect type image data of the packaging box, and generating packaging defect type analysis result data of the packaging operation, and ending the operation instruction when no defect exists;

[0010] S3. When there are defects, collect packaging error dimension data of packaging operation;

[0011] S4, performing numerical statistical processing on the packaging error dimension data of the packaging operation to construct mean value data of the packaging error dimension of the packaging operation;

[0012] S5, performing error calibration parameter analysis and processing of the plastic packaging equipment according to the packaging error dimension mean data of the packaging operation and the standard error calibration data of the plastic packaging equipment, and generating error calibration data determined by the plastic packaging equipment;

[0013] S6, performing cutting size calibration parameter measurement processing of the sealing and fixing material of the packaging box according to the packaging defect type analysis result data of the packaging operation, the error calibration data determined by the plastic packaging equipment and the standard cutting size data of the plastic packaging equipment, and generating cutting size calibration data of the plastic packaging equipment;

[0014] S7, performing a cutting size accuracy calibration operation on the sealing and fixing material of the packaging box during the packaging operation process of the plastic packaging equipment according to the cutting size calibration data of the plastic packaging equipment.

[0015] Preferably, the steps of collecting the image data of the packaging box packaging result are as follows:

[0016] S11. Collecting image data of the relative packaging position between the sealing and fixing material and the opening of the packaging box in a packaging completed state online through a shooting lens, and generating packaging result image data w of the packaging box, wherein the sealing and fixing material includes any one of an adhesive tape and a packing tape.

[0017] The present invention obtains the image parameters of the packaging result of the packaging box in real time online through a shooting lens, so as to provide reliable data support for the online detection of packaging defects of the packaging box.

[0018] Preferably, the steps of performing packaging defect type result analysis processing of the packaging operation based on the packaging box packaging result image data and the packaging box packaging defect type image data, and generating packaging defect type analysis result data of the packaging operation are as follows:

[0019] S21. Establishing a data set of packaging box packaging defect types m1=1,2,3,…,μ1,m2=1,2,3,…,μ2;a1 represents the first type of packaging defect of the packaging box, and a2 represents the second type of packaging defect of the packaging box; represents the m1th image data of packaging defect type of packaging box in the first packaging defect type, μ1 represents the maximum value of the number of image data of packaging defect type of packaging box in the first packaging defect type; represents the m2th image data of packaging defect type of packaging box in the second packaging defect type, μ2 represents the maximum value of the number of image data of packaging defect type of packaging box in the second packaging defect type; the first packaging defect type of packaging box represents that the cutting size of the sealing and fixing material is smaller than the opening length of the packaging box, and the second packaging defect type of packaging box represents that the cutting size of the sealing and fixing material is larger than the opening length of the packaging box;

[0020] S22, using a bidirectional search algorithm to perform image feature matching between the packaging box packaging result image data w and the packaging box packaging defect type image data in the packaging box packaging defect type image data set A, and generating packaging operation packaging defect type analysis result data A according to the image feature matching result. jieguo ;

[0021] When w and The image feature matching is successful, indicating that the packaging operation has the first type of packaging defect type; then the packaging operation packaging defect type analysis result data A is output. jieguo The first type of packaging defect exists in the packaging box;

[0022] When w and The image feature matching is successful, indicating that the packaging operation has the second type of packaging defect type; then the packaging operation packaging defect type analysis result data A is output. jieguo There is a second type of packaging defect in the packaging box;

[0023] When w and If the image feature matching is unsuccessful, it means that there is no packaging defect type in the packaging operation; then the packaging defect type analysis result data A of the packaging operation is output. jieguo If there is no packaging defect type for the packaging box, the operation instruction is terminated at this time.

[0024] The present invention scientifically stores the image parameters of packaging defect types of packaging boxes and combines the two-way search algorithm with the image parameters of packaging result of packaging boxes to perform image feature matching, intelligently and accurately analyzes the packaging defect type results of packaging operations, and achieves the effect of efficient detection of packaging defects in the operation process of plastic packaging equipment.

[0025] Preferably, when there are defects, the operation steps of collecting packaging error dimension data of the packaging operation are as follows:

[0026] S31, when the packaging operation packaging defect type analysis result data A jieguo When the first packaging box packaging defect type or the second packaging box packaging defect type exists, the packaging error size of the relative packaging position between the cutting size of the sealing fixing material of the packaging box packaging product and the length of the packaging box opening is measured online by a length measuring instrument, and a packaging operation packaging error size data set B = (b1,…,b p ,…,b ν ), p=1,2,3,…,ν; where b p represents the pth packaging error dimension data collected, ν represents the maximum value of the packaging error dimension data of the packaging operation, and b p The unit is millimeters.

[0027] The present invention uses a length measuring instrument to conveniently and accurately collect packaging error dimension parameters of packaging operations, thereby achieving the effect of providing real data support for scientifically analyzing standard error calibration parameters of plastic packaging equipment.

[0028] Preferably, the steps of performing numerical statistical processing on the packaging error dimension data of the packaging operation to construct the mean value data of the packaging error dimension of the packaging operation are as follows:

[0029] S41, using the mean formula to calculate the packaging operation packaging error size data b in the packaging operation packaging error size data set B. p Perform numerical statistical processing and construct the mean value data of packaging error dimensions in packaging operations in The unit is millimeters.

[0030] The present invention accurately measures the mean value parameter of the packaging error dimension of the packaging operation through a numerical statistical method, thereby achieving the effect of improving the precision and accuracy of collecting the packaging error dimension of the finished product of the packaging box.

[0031] Preferably, the steps of analyzing and processing the error calibration parameters of the plastic packaging equipment according to the packaging operation packaging error dimension mean data and the standard error calibration data of the plastic packaging equipment, and generating the plastic packaging equipment determination error calibration data are as follows:

[0032] S51. Establishing a standard error calibration data set for plastic packaging equipment where c o represents the standard error calibration data of the oth type of plastic packaging equipment, Indicates the maximum value of the type of standard error calibration data of plastic packaging equipment, and the standard error calibration data of plastic packaging equipment represents the mean value data of packaging error size of the packaging operation The corresponding value is used for the calibration data of the standard error of the plastic packaging equipment to adjust the cutting size of the sealing and fixing materials, c o The unit is millimeter;

[0033] S52, the packaging operation packaging error size mean data The plastic packaging equipment standard error calibration data c in the plastic packaging equipment standard error calibration data set C o Perform numerical matching of the standard error calibration data of the plastic packaging equipment and search for the mean value data of the packaging error dimension of the packaging operation The values ​​match the standard error calibration data of the plastic packaging equipment c o , perform a search to determine the error calibration data c of the plastic packaging equipment o The specific steps are as follows:

[0034] S521, initialization, update the maximum number of iterations T of the algorithm and randomly initialize the error in the optimization space to identify the position of the osprey population. The position initialization formula is Z i,j =α+r×(β-α), where Z i,j It represents the position of error-identified osprey i in j-dimensional space, that is, the spatial dimension of error-identified osprey i is The position of the standard error calibration data set C of plastic packaging equipment in the search space, α is the lower boundary of the optimization, that is, the lower boundary of the standard error calibration data set C of plastic packaging equipment in the search space, β is the upper boundary of the optimization, that is, the upper boundary of the standard error calibration data set C of plastic packaging equipment in the search space, r represents a random number in the interval [0,1];

[0035] S522, exploration phase, the exploration phase of error recognition osprey population update is based on the simulation of the natural behavior of error recognition osprey. The error recognition osprey randomly detects the mean data of packaging error size of packaging operation in the search space of the standard error calibration data set C of plastic packaging equipment. The values ​​match the standard error calibration data of the plastic packaging equipment c o The target position is attacked, and the new position of the corresponding error recognition osprey is updated on the basis of simulating the error recognition osprey moving towards the target. The error recognition osprey position update formula where Z' i,j It represents the position of error recognition osprey i in the j-dimensional space after updating, that is, the spatial dimension of error recognition osprey i after updating is The position of the standard error calibration data set C of the plastic packaging equipment in the search space; σ represents the error recognition Osprey searches for the mean data of the packaging error size in the search space of the standard error calibration data set C of the plastic packaging equipment. The values ​​match the standard error calibration data of the plastic packaging equipment c o The location of the target; represents a constant with a value of 1 or 2; if the updated new position is better, the initial position of the error recognition osprey before the update is replaced according to the exploration phase position replacement formula. The exploration phase position replacement formula is in It represents the optimal position of error-identified osprey i in the j-dimensional space during the exploration phase, that is, the spatial dimension of error-identified osprey i after being updated during the exploration phase is The optimal position in the search space of the standard error calibration data set C of plastic packaging equipment; Θ' i,j Represents Z' i,j Standard error calibration data of plastic packaging equipment at position c o Packaging error size mean data of packaging operation The fitness value, Θ i,j Represents Z i,j Standard error calibration data of plastic packaging equipment at position c o Packaging error size mean data of packaging operation The fitness value of

[0036] S523, Development phase, error identification osprey hunts and tries out packaging error size mean data with packaging operation in the search space of plastic packaging equipment standard error calibration data set C The values ​​match the standard error calibration data of the plastic packaging equipment c oObjective, the development phase of the algorithm error recognition osprey population update is based on modeling the simulation of the natural behavior of error recognition ospreys, calculating new random positions as suitable for eating and packaging operations packaging error size mean data The values ​​match the standard error calibration data of the plastic packaging equipment c o The location of the target, calculate the new mean data of the packaging error size suitable for consumption and packaging operation The formula for the location of the target numerically matched the standard error calibration data of the plastic packaging equipment Where Z″ i,j It means that the new random position of the error-identified osprey i in the j-dimensional space after updating is the position suitable for edible fish, that is, the error-identified osprey i in the space dimension after updating is The new random position in the search space of the standard error calibration data set C of plastic packaging equipment is used as the mean data of packaging error size suitable for edible and packaging operations The value matches the position of the target calibration data of the plastic packaging equipment, and t represents the number of iterations of the current algorithm; if the value of the objective function is improved at this new position, the initial position before the update of the error recognition osprey is replaced according to the development stage position replacement formula, and the development stage position replacement formula is in It represents the optimal position of error recognition osprey i in the j-dimensional space during the development phase, that is, the error recognition osprey i in the development phase is updated in the space dimension The optimal position in the search space of the standard error calibration data set C of plastic packaging equipment; Θ” i,j "Z" i,j Standard error calibration data of plastic packaging equipment at position c o Packaging error size mean data of packaging operation The fitness value of

[0037] S524: When the algorithm meets the maximum number of iterations, output the mean value data of the packaging error size of the packaging operation. The standard error calibration data of the plastic packaging equipment with the best numerical match c o , otherwise continue to execute steps S522 to S523 until the maximum number of iterations is met;

[0038] S53, the standard error calibration data c of the plastic packaging equipment output in step S524 o Identify and generate plastic packaging equipment to determine error calibration data c queding , c queding The unit is millimeters.

[0039] The present invention performs scientific analysis on the error calibration parameters of plastic packaging equipment by standardizing and presetting the standard error calibration parameters of plastic packaging equipment in combination with the Osprey optimization algorithm and the packaging error size mean parameters of the packaging operation, so as to achieve the effect of intelligently evaluating the standard error calibration parameters of plastic packaging equipment corresponding to the packaging size errors of different packaging boxes.

[0040] Preferably, the steps of measuring and processing the cutting size calibration parameters of the packaging box sealing and fixing materials according to the packaging operation packaging defect type analysis result data, the error calibration data determined by the plastic packaging equipment and the standard cutting size data of the plastic packaging equipment, and generating the cutting size calibration data of the plastic packaging equipment are as follows:

[0041] S61, establishing standard cutting size data d for plastic packaging equipment, wherein the standard cutting size data for plastic packaging equipment represents standard cutting size data for cutting the length of sealing and fixing materials during the packaging operation of the plastic packaging equipment, and the unit of d is millimeter;

[0042] S62, analyzing the packaging defect type data A according to the packaging operation jieguo , the plastic packaging equipment determines the error calibration data c queding Perform cutting size calibration parameter measurement processing on the packaging box sealing and fixing material with the standard cutting size data d of the plastic packaging equipment, and generate cutting size calibration data e of the plastic packaging equipment;

[0043] When the packaging operation packaging defect type analysis result data A jieguo The first type of packaging defect exists, which means that the cutting size of the sealing and fixing material of the finished packaging box is smaller than the opening length of the packaging box. At this time, the plastic packaging equipment determines the error calibration data c queding If a positive value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = A jieguo +d;

[0044] When the packaging operation packaging defect type analysis result data A jieguo The second packaging defect type exists, which means that the cutting size of the sealing and fixing material of the finished packaging box is greater than the opening length of the packaging box. At this time, the plastic packaging equipment determines the error calibration data c queding If a negative value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = -A jieguo The unit of +d,e is millimeter.

[0045] The present invention combines numerical analysis with packaging defect type parameters of finished products packaged in packaging boxes, error calibration parameters determined by plastic packaging equipment, and standard cutting size parameters of plastic packaging equipment to scientifically calculate the actual cutting size calibration parameters of sealing and fixing materials, thereby achieving the effect of improving the intelligence and quality of packaging operations of plastic packaging equipment.

[0046] Preferably, the operation steps of performing the cutting size accuracy calibration operation of the packaging box sealing and fixing material during the packaging operation process of the plastic packaging equipment according to the cutting size calibration data of the plastic packaging equipment are as follows:

[0047] S71, inputting the cutting size calibration data e of the plastic packaging equipment into the plastic packaging equipment, and controlling the packaging operation process of the plastic packaging equipment to perform the cutting size accuracy calibration operation of the sealing and fixing material of the packaging box according to the cutting size calibration data e of the plastic packaging equipment.

[0048] The present invention achieves the effect of improving the precision calibration efficiency of the packaging operation of the plastic packaging equipment by autonomously executing the packaging precision calibration operation.

[0049] A plastic packaging equipment operation process accuracy calibration system, used to implement the plastic packaging equipment operation process accuracy calibration method, the system includes a packaging operation defect detection module, a packaging operation error statistics module, and a packaging operation error calibration execution module;

[0050] The operation defect detection module includes a packaging box packaging result image acquisition unit, a packaging box packaging defect type image storage unit, and a packaging operation packaging defect type result analysis unit;

[0051] The packaging box packaging result image acquisition unit is used to acquire packaging box packaging result image data through a shooting lens; the packaging box packaging defect type image storage unit is used to store packaging box packaging defect type image data; the packaging operation packaging defect type result analysis unit performs packaging operation packaging defect type result analysis processing based on the packaging box packaging result image data and the packaging box packaging defect type image data, and generates packaging operation packaging defect type analysis result data;

[0052] The packaging operation error statistics module includes a packaging operation error size parameter acquisition unit, a packaging operation error size parameter mean unit, a plastic packaging equipment standard error calibration parameter storage unit, and a plastic packaging equipment standard error calibration parameter analysis unit;

[0053] The packaging operation error dimension parameter acquisition unit collects packaging error dimension data of the packaging operation through a length measuring instrument; the packaging operation error dimension parameter mean value unit performs numerical statistical processing based on the packaging error dimension data of the packaging operation to construct packaging error dimension mean value data of the packaging operation; the plastic packaging equipment standard error calibration parameter storage unit is used to store the standard error calibration data of the plastic packaging equipment; the plastic packaging equipment standard error calibration parameter analysis unit performs error calibration parameter analysis processing of the plastic packaging equipment based on the packaging error dimension mean value data of the packaging operation and the standard error calibration data of the plastic packaging equipment, and generates error calibration data for the plastic packaging equipment;

[0054] The packaging operation error calibration execution module includes a plastic packaging equipment standard cutting size parameter storage unit, a plastic packaging equipment cutting size calibration parameter generation unit, and a plastic packaging equipment cutting size calibration operation execution unit;

[0055] The standard cutting size parameter storage unit for plastic packaging equipment is used to store the standard cutting size data of plastic packaging equipment; the cutting size calibration parameter generation unit for plastic packaging equipment performs cutting size calibration parameter measurement processing for the sealing and fixing materials of the packaging box according to the packaging defect type analysis result data of the packaging operation, the error calibration data determined by the plastic packaging equipment and the standard cutting size data of the plastic packaging equipment, and generates the cutting size calibration data for the plastic packaging equipment; the cutting size calibration operation execution unit for plastic packaging equipment performs the cutting size accuracy calibration operation for the sealing and fixing materials of the packaging box during the packaging operation process of the plastic packaging equipment according to the cutting size calibration data for the plastic packaging equipment.

[0056] (III) Beneficial effects

[0057] The present invention provides a system and method for calibrating the precision of the operation process of plastic packaging equipment. It has the following beneficial effects:

[0058] 1. Obtain the image parameters of the packaging results of the packaging box in real time online through the shooting lens, providing reliable data support for the online detection of packaging defects of the packaging box; scientifically store the image parameters of the packaging defect type of the packaging box, combine the intelligent search algorithm with the image parameters of the packaging result of the packaging box to match the image features, and intelligently and accurately analyze the packaging defect type results of the packaging operation, so as to realize the efficient detection of packaging defects in the operation process of plastic packaging equipment.

[0059] 2. The length measuring instrument is used to conveniently and accurately collect the packaging error size parameters of the packaging operation, providing real data support for the scientific analysis of the standard error calibration parameters of the plastic packaging equipment. The numerical statistical method is used to accurately measure the mean value parameters of the packaging error size of the packaging operation, which improves the accuracy and precision of the collection of the packaging error size of the finished product packaging box. The standardized preset standard error calibration parameters of the plastic packaging equipment are combined with the intelligent recognition algorithm and the mean value parameters of the packaging error size of the packaging operation to conduct a scientific analysis of the error calibration parameters of the plastic packaging equipment, and intelligently evaluate the standard error calibration parameters of the plastic packaging equipment corresponding to the packaging size errors of different packaging boxes, thereby improving the accuracy of the error calibration of the packaging operation of the plastic packaging equipment.

[0060] 3. By combining numerical analysis with the packaging defect type parameters of the finished product packaged in the packaging box, the error calibration parameters determined by the plastic packaging equipment, and the standard cutting size parameters of the plastic packaging equipment, the actual cutting size calibration parameters of the sealing and fixing materials are scientifically calculated, thereby improving the intelligence and quality of the packaging operation of the plastic packaging equipment; the packaging accuracy calibration operation is performed independently, thereby improving the accuracy calibration efficiency of the packaging operation of the plastic packaging equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A schematic diagram of a module of a precision calibration system for a plastic packaging equipment operation process provided by the present invention;

[0062] Figure 2 A flow chart of a method for calibrating the accuracy of an operation process of plastic packaging equipment provided by the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] The embodiments of the system and method for calibrating the precision of the operation process of plastic packaging equipment are as follows:

[0065] Embodiment 1:

[0066] See also Figure 1 - Figure 2 A method for calibrating the accuracy of a plastic packaging equipment operation process, the method comprising the following steps:

[0067] S1, collecting packaging box packaging result image data;

[0068] S2, performing packaging defect type result analysis processing of the packaging operation based on the packaging result image data of the packaging box and the packaging defect type image data of the packaging box, and generating packaging defect type analysis result data of the packaging operation, and when there is no defect, ending the operation instruction;

[0069] S3. When there are defects, collect packaging error dimension data of packaging operation;

[0070] S4, performing numerical statistical processing on the packaging error dimension data of the packaging operation to construct the mean value data of the packaging error dimension of the packaging operation;

[0071] S5, analyzing and processing error calibration parameters of the plastic packaging equipment according to the packaging error dimension mean data of the packaging operation and the standard error calibration data of the plastic packaging equipment, and generating error calibration data determined by the plastic packaging equipment;

[0072] S6. Performing measurement processing on the cutting size calibration parameters of the sealing and fixing materials of the packaging box according to the packaging defect type analysis result data of the packaging operation, the error calibration data determined by the plastic packaging equipment, and the standard cutting size data of the plastic packaging equipment, and generating the cutting size calibration data of the plastic packaging equipment;

[0073] S7. Perform a cutting size accuracy calibration operation on the sealing and fixing materials of the packaging box during the packaging operation process of the plastic packaging equipment according to the cutting size calibration data of the plastic packaging equipment.

[0074] For further information, see Figure 1 - Figure 2 , the steps for collecting the image data of the packaging box packaging results are as follows:

[0075] S11. Collecting the image data of the relative packaging position between the sealing and fixing material and the opening of the packaging box in a packaging completed state online through a shooting lens, and generating packaging result image data w of the packaging box, wherein the sealing and fixing material includes any one of an adhesive tape and a packing tape.

[0076] The steps of analyzing and processing the packaging defect type results of the packaging operation based on the packaging result image data of the packaging box and the packaging defect type image data of the packaging box, and generating the packaging defect type analysis result data of the packaging operation are as follows:

[0077] S21. Establishing a data set of packaging box packaging defect types m1=1,2,3,…,μ1,m2=1,2,3,…,μ2;a1 represents the first type of packaging defect of the packaging box, and a2 represents the second type of packaging defect of the packaging box; represents the m1th image data of packaging defect type of packaging box in the first packaging defect type, μ1 represents the maximum value of the number of image data of packaging defect type of packaging box in the first packaging defect type; represents the m2th image data of the packaging defect type of the second packaging defect type, μ2 represents the maximum value of the number of image data of the packaging defect type of the second packaging defect type; the first packaging defect type represents that the cutting size of the sealing and fixing material is smaller than the opening length of the packaging box, and the second packaging defect type represents that the cutting size of the sealing and fixing material is larger than the opening length of the packaging box;

[0078] S22, using a bidirectional search algorithm to perform image feature matching between the packaging box packaging result image data w and the packaging box packaging defect type image data in the packaging box packaging defect type image data set A, and generating packaging operation packaging defect type analysis result data A based on the image feature matching result. jieguo ;

[0079] When w and The image feature matching is successful, indicating that the packaging operation has the first type of packaging defect type; then the packaging operation packaging defect type analysis result data A is output. jieguo The first type of packaging defect exists in the packaging box;

[0080] When w and The image feature matching is successful, indicating that the packaging operation has the second type of packaging defect type; then the packaging operation packaging defect type analysis result data A is output. jieguo There is a second type of packaging defect in the packaging box;

[0081] When w and If the image feature matching is unsuccessful, it means that there is no packaging defect type in the packaging operation; then the packaging defect type analysis result data A of the packaging operation is output. jieguo If there is no packaging defect type for the packaging box, the operation instruction is terminated at this time.

[0082] Through the packaging box packaging result image acquisition unit, the camera lens is used to obtain the packaging box packaging result image parameters in real time online, providing reliable data support for online detection of packaging box packaging defects; the packaging box packaging defect type image storage unit and the packaging operation packaging defect type result analysis unit cooperate with each other, scientifically store the packaging box packaging defect type image parameters, combine the intelligent search algorithm with the packaging box packaging result image parameters to perform image feature matching, and intelligently and accurately analyze the packaging operation packaging defect type results, so as to realize efficient detection of packaging defects in the operation process of plastic packaging equipment.

[0083] For further information, see Figure 1 - Figure 2, when there are defects, the steps for collecting packaging error dimension data for packaging operations are as follows:

[0084] S31, when the packaging operation packaging defect type analysis result data A jieguo When the first packaging box packaging defect type or the second packaging box packaging defect type exists, the packaging error size of the relative packaging position between the cutting size of the sealing fixing material of the packaging box packaging product and the length of the packaging box opening is measured online by a length measuring instrument, and a packaging operation packaging error size data set B = (b1,…,b p ,…,b ν ), p=1,2,3,…,ν; where b p represents the pth packaging error dimension data collected, ν represents the maximum value of the packaging error dimension data of the packaging operation, and b p The unit is millimeters.

[0085] The steps for performing numerical statistical processing on the packaging error dimension data of the packaging operation and constructing the mean value data of the packaging error dimension of the packaging operation are as follows:

[0086] S41, using the mean formula to calculate the packaging error size data b in the packaging error size data set B p Perform numerical statistical processing and construct the mean value data of packaging error dimensions in packaging operations in The unit is millimeters.

[0087] The steps for analyzing and processing the error calibration parameters of plastic packaging equipment according to the mean value data of packaging error dimensions of packaging operations and the standard error calibration data of plastic packaging equipment, and generating the error calibration data of plastic packaging equipment are as follows:

[0088] S51. Establishing a standard error calibration data set for plastic packaging equipment where c o represents the standard error calibration data of the oth type of plastic packaging equipment, Indicates the maximum value of the standard error calibration data type of plastic packaging equipment. The standard error calibration data of plastic packaging equipment indicates the mean value data of packaging error size in packaging operation. The corresponding value is used for the calibration data of the standard error of the plastic packaging equipment to adjust the cutting size of the sealing and fixing materials, c o The unit is millimeter;

[0089] S52, packaging error size mean data of packaging operation The standard error calibration data c of plastic packaging equipment in the standard error calibration data set C oPerform numerical matching of standard error calibration data of plastic packaging equipment and search for mean error dimension data of packaging operation The values ​​match the standard error calibration data of the plastic packaging equipment c o , perform a search to find the plastic packaging equipment to determine the error calibration data c o The specific steps are as follows:

[0090] S521, initialization, update the maximum number of iterations T of the algorithm and randomly initialize the error in the optimization space to identify the position of the osprey population. The position initialization formula is Z i,j =α+r×(β-α), where Z i,j It represents the position of error-identified osprey i in j-dimensional space, that is, the spatial dimension of error-identified osprey i is The position of the standard error calibration data set C of plastic packaging equipment in the search space, α is the lower boundary of the optimization, that is, the lower boundary of the standard error calibration data set C of plastic packaging equipment in the search space, β is the upper boundary of the optimization, that is, the upper boundary of the standard error calibration data set C of plastic packaging equipment in the search space, r represents a random number in the interval [0,1];

[0091] S522, exploration phase, the exploration phase of error recognition osprey population update is based on the simulation of the natural behavior of error recognition osprey. The error recognition osprey randomly detects the mean data of packaging error size of packaging operation in the search space of the standard error calibration data set C of plastic packaging equipment. The values ​​match the standard error calibration data of the plastic packaging equipment c o The target position is attacked, and the new position of the corresponding error recognition osprey is updated on the basis of simulating the error recognition osprey moving towards the target. The error recognition osprey position update formula where Z' i,j It represents the position of error recognition osprey i in the j-dimensional space after updating, that is, the spatial dimension of error recognition osprey i after updating is The position of the standard error calibration data set C of the plastic packaging equipment in the search space; σ represents the error recognition Osprey searches for the mean data of the packaging error size in the search space of the standard error calibration data set C of the plastic packaging equipment. The values ​​match the standard error calibration data of the plastic packaging equipment c o The location of the target; represents a constant with a value of 1 or 2; if the updated new position is better, the initial position of the error recognition osprey before the update is replaced according to the exploration phase position replacement formula. The exploration phase position replacement formula is in It represents the optimal position of error-identified osprey i in the j-dimensional space during the exploration phase, that is, the spatial dimension of error-identified osprey i after being updated during the exploration phase is The optimal position in the search space of the standard error calibration data set C of plastic packaging equipment; Θ' i,j Represents Z' i,j Standard error calibration data of plastic packaging equipment at position c o Packaging error size mean data of packaging operation The fitness value, Θ i,j Represents Z i,j Standard error calibration data of plastic packaging equipment at position c o Packaging error size mean data of packaging operation The fitness value of

[0092] S523, Development phase, error identification osprey hunts and tries out packaging error size mean data with packaging operation in the search space of plastic packaging equipment standard error calibration data set C The values ​​match the standard error calibration data of the plastic packaging equipment c o Objective, the development phase of the algorithm error recognition osprey population update is based on modeling the simulation of the natural behavior of error recognition ospreys, calculating new random positions as suitable for eating and packaging operations packaging error size mean data The values ​​match the standard error calibration data of the plastic packaging equipment c o The location of the target, calculate the new mean data of the packaging error size suitable for consumption and packaging operation The formula for the location of the target numerically matched the standard error calibration data of the plastic packaging equipment where Z i,j It means that the new random position of the error-identified osprey i in the j-dimensional space after updating is the position suitable for edible fish, that is, the error-identified osprey i in the space dimension after updating is The new random position in the search space of the standard error calibration data set C of plastic packaging equipment is used as the mean data of packaging error size suitable for edible and packaging operations The value matches the position of the target calibration data of the plastic packaging equipment, and t represents the number of iterations of the current algorithm; if the value of the objective function is improved at this new position, the initial position before the update of the error recognition osprey is replaced according to the development stage position replacement formula, and the development stage position replacement formula is in It represents the optimal position of error recognition osprey i in the j-dimensional space during the development phase, that is, the error recognition osprey i in the development phase is updated in the space dimension The optimal position in the search space of the standard error calibration data set C of plastic packaging equipment; Θ” i,j "Z" i,j Standard error calibration data of plastic packaging equipment at position c oPackaging error size mean data of packaging operation The fitness value of

[0093] S524. When the algorithm meets the maximum number of iterations, the output is the mean value data of the packaging error size of the packaging operation. The standard error calibration data of the plastic packaging equipment with the best numerical match c o , otherwise continue to execute steps S522 to S523 until the maximum number of iterations is met;

[0094] S53, the plastic packaging equipment standard error calibration data c output in step S524 o Identify and generate plastic packaging equipment to determine error calibration data c queding , c queding The unit is millimeters.

[0095] Through the packaging operation error size parameter collection unit, a length measuring instrument is used to conveniently and accurately collect the packaging error size parameters of the packaging operation, providing real data support for the scientific analysis of the standard error calibration parameters of plastic packaging equipment; the packaging operation error size parameter mean unit uses numerical statistical methods to accurately measure the packaging error size mean parameters of the packaging operation, thereby improving the accuracy and precision of the error size collection of the finished packaging box; the plastic packaging equipment standard error calibration parameter storage unit and the plastic packaging equipment standard error calibration parameter analysis unit cooperate with each other, standardize the preset plastic packaging equipment standard error calibration parameters, combine the intelligent recognition algorithm with the packaging operation packaging error size mean parameters to conduct a scientific analysis of the error calibration parameters of the plastic packaging equipment, and intelligently evaluate the standard error calibration parameters of the plastic packaging equipment corresponding to the packaging size errors of different packaging boxes, thereby improving the accuracy of the plastic packaging equipment packaging operation error calibration.

[0096] For further information, see Figure 1 - Figure 2 According to the packaging defect type analysis result data of the packaging operation, the error calibration data determined by the plastic packaging equipment and the standard cutting size data of the plastic packaging equipment, the cutting size calibration parameter measurement processing of the packaging box sealing and fixing material is carried out, and the operation steps of generating the cutting size calibration data of the plastic packaging equipment are as follows:

[0097] S61, establishing standard cutting size data d for plastic packaging equipment, wherein the standard cutting size data for plastic packaging equipment represents standard cutting size data for the length of cutting, sealing and fixing materials during the packaging operation of the plastic packaging equipment, and the unit of d is millimeter;

[0098] S62, according to the packaging operation packaging defect type analysis result data A jieguo , Plastic packaging equipment to determine the error calibration data c quedingPerform cutting size calibration parameter measurement processing on the packaging box sealing and fixing material with the standard cutting size data d of the plastic packaging equipment, and generate cutting size calibration data e of the plastic packaging equipment;

[0099] When packaging operation packaging defect type analysis result data A jieguo The first type of packaging defect exists, which means that the cutting size of the sealing and fixing material of the finished packaging box is smaller than the opening length of the packaging box. At this time, the plastic packaging equipment determines the error calibration data c queding If a positive value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = A jieguo +d;

[0100] When packaging operation packaging defect type analysis result data A jieguo The second type of packaging defect exists, which means that the cutting size of the sealing and fixing material of the finished packaging box is larger than the opening length of the packaging box. At this time, the plastic packaging equipment determines the error calibration data c queding If a negative value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = -A jieguo The unit of +d,e is millimeter.

[0101] The steps for performing the cutting size accuracy calibration of the sealing and fixing materials of the packaging box during the packaging operation of the plastic packaging equipment according to the cutting size calibration data of the plastic packaging equipment are as follows:

[0102] S71, inputting the cutting size calibration data e of the plastic packaging equipment into the plastic packaging equipment, and controlling the packaging operation process of the plastic packaging equipment to perform the cutting size accuracy calibration operation of the sealing and fixing material of the packaging box according to the cutting size calibration data e of the plastic packaging equipment.

[0103] Through the cooperation between the standard cutting size parameter storage unit of the plastic packaging equipment and the cutting size calibration operation execution unit of the plastic packaging equipment, based on the packaging defect type parameters of the finished product packaged in the packaging box, the error calibration parameters determined by the plastic packaging equipment, and the standard cutting size parameters of the plastic packaging equipment combined with numerical analysis, the actual cutting size calibration parameters of the sealing and fixing materials are scientifically counted, thereby improving the intelligence and quality of the packaging operation of the plastic packaging equipment; the cutting size calibration operation execution unit of the plastic packaging equipment independently performs the packaging accuracy calibration operation, thereby improving the accuracy calibration efficiency of the packaging operation of the plastic packaging equipment.

[0104] Embodiment 2:

[0105] See also Figure 1 - Figure 2, a plastic packaging equipment operation process precision calibration system, used to implement a plastic packaging equipment operation process precision calibration method, the system includes a packaging operation defect detection module, a packaging operation error statistics module, and a packaging operation error calibration execution module;

[0106] The operation defect detection module includes a packaging box packaging result image acquisition unit, a packaging box packaging defect type image storage unit, and a packaging operation packaging defect type result analysis unit;

[0107] A packaging box packaging result image acquisition unit is used to acquire packaging box packaging result image data through a shooting lens; a packaging box packaging defect type image storage unit is used to store packaging box packaging defect type image data; a packaging operation packaging defect type result analysis unit is used to perform packaging operation packaging defect type result analysis processing based on the packaging box packaging result image data and the packaging box packaging defect type image data, and generate packaging operation packaging defect type analysis result data;

[0108] The packaging operation error statistics module includes a packaging operation error dimension parameter collection unit, a packaging operation error dimension parameter mean unit, a plastic packaging equipment standard error calibration parameter storage unit, and a plastic packaging equipment standard error calibration parameter analysis unit;

[0109] The packaging operation error dimension parameter acquisition unit collects the packaging error dimension data of the packaging operation through the length measuring instrument; the packaging operation error dimension parameter mean value unit performs numerical statistical processing based on the packaging error dimension data of the packaging operation to construct the packaging error dimension mean value data of the packaging operation; the plastic packaging equipment standard error calibration parameter storage unit is used to store the standard error calibration data of the plastic packaging equipment; the plastic packaging equipment standard error calibration parameter analysis unit performs error calibration parameter analysis processing of the plastic packaging equipment based on the packaging error dimension mean value data of the packaging operation and the standard error calibration data of the plastic packaging equipment, and generates the plastic packaging equipment determination error calibration data;

[0110] The packaging operation error calibration execution module includes a plastic packaging equipment standard cutting size parameter storage unit, a plastic packaging equipment cutting size calibration parameter generation unit, and a plastic packaging equipment cutting size calibration operation execution unit;

[0111] A plastic packaging equipment standard cutting size parameter storage unit is used to store the standard cutting size data of plastic packaging equipment; a plastic packaging equipment cutting size calibration parameter generation unit performs cutting size calibration parameter measurement processing for packaging box sealing and fixing materials based on packaging defect type analysis result data of packaging operation, error calibration data determined by plastic packaging equipment and standard cutting size data of plastic packaging equipment, and generates cutting size calibration data for plastic packaging equipment; a plastic packaging equipment cutting size calibration operation execution unit performs a cutting size accuracy calibration operation for packaging box sealing and fixing materials during the packaging operation process of the plastic packaging equipment based on the cutting size calibration data of the plastic packaging equipment.

[0112] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for calibrating the accuracy of a plastic packaging equipment operation process, characterized in that: The method comprises the following steps: S1, collecting packaging box packaging result image data; S2, performing packaging defect type result analysis processing of the packaging operation based on the packaging result image data of the packaging box and the packaging defect type image data of the packaging box, and generating packaging defect type analysis result data of the packaging operation, and ending the operation instruction when no defect exists; S3. When there are defects, collect packaging error dimension data of packaging operation; S4, performing numerical statistical processing on the packaging error dimension data of the packaging operation to construct mean value data of the packaging error dimension of the packaging operation; S5, performing error calibration parameter analysis and processing of the plastic packaging equipment according to the packaging error dimension mean data of the packaging operation and the standard error calibration data of the plastic packaging equipment, and generating error calibration data determined by the plastic packaging equipment; S6, performing cutting size calibration parameter measurement processing of the sealing and fixing material of the packaging box according to the packaging defect type analysis result data of the packaging operation, the error calibration data determined by the plastic packaging equipment and the standard cutting size data of the plastic packaging equipment, and generating cutting size calibration data of the plastic packaging equipment; S7, performing a cutting size accuracy calibration operation on the sealing and fixing material of the packaging box during the packaging operation process of the plastic packaging equipment according to the cutting size calibration data of the plastic packaging equipment.

2. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 1, characterized in that: The S1 comprises the following steps: S11. Collecting online image data of the relative packaging position between the sealing and fixing materials and the opening of the packaging box in a packaging completed state through a shooting lens, and generating packaging result image data w of the packaging box.

3. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establishing a data set of packaging box packaging defect types m1=1,2,3,…,μ1,m2=1,2,3,…,μ2;a1 represents the first type of packaging defect of the packaging box, and a2 represents the second type of packaging defect of the packaging box; represents the m1th image data of packaging defect type of packaging box in the first packaging defect type, μ1 represents the maximum value of the number of image data of packaging defect type of packaging box in the first packaging defect type; represents the m2th image data of packaging defect type of packaging box in the second packaging defect type, μ2 represents the maximum value of the number of image data of packaging defect type of packaging box in the second packaging defect type; S22, using a bidirectional search algorithm to perform image feature matching between the packaging box packaging result image data w and the packaging box packaging defect type image data in the packaging box packaging defect type image data set A, and generating packaging operation packaging defect type analysis result data A according to the image feature matching result. jieguo ; When w and If the image feature matching is successful, the packaging operation packaging defect type analysis result data A is output. jieguo The first type of packaging defect exists in the packaging box; When w and If the image feature matching is successful, the packaging operation packaging defect type analysis result data A is output. jieguo The second type of packaging defect exists in the packaging box; When w and If the image feature matching is unsuccessful, the packaging operation packaging defect type analysis result data A is output jieguo If there is no packaging defect type for the packaging box, the operation instruction is terminated at this time.

4. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 3, characterized in that: The S3 comprises the following steps: S31, when the packaging operation packaging defect type analysis result data A jieguo When the first packaging box packaging defect type or the second packaging box packaging defect type exists, the packaging error size of the relative packaging position between the cutting size of the sealing fixing material of the packaging box packaging product and the length of the packaging box opening is measured online by a length measuring instrument, and a packaging operation packaging error size data set B = (b1,…,b p ,…,b ν ), p=1,2,3,…,ν; where b p represents the pth packaging error dimension data collected, ν represents the maximum value of the packaging error dimension data of the packaging operation, and b p The unit is millimeters.

5. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 4, characterized in that: The S4 comprises the following steps: S41, using the mean formula to calculate the packaging operation packaging error size data b in the packaging operation packaging error size data set B. p Perform numerical statistical processing and construct the mean value data of packaging error dimensions in packaging operations in The unit is millimeters.

6. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 5, characterized in that: The S5 comprises the following steps: S51. Establishing a standard error calibration data set for plastic packaging equipment where c o represents the standard error calibration data of the oth plastic packaging equipment, Indicates the maximum value of the standard error calibration data type of plastic packaging equipment, c o The unit is millimeter; S52, the packaging operation packaging error size mean data The standard error calibration data c of the plastic packaging equipment in the standard error calibration data set C of the plastic packaging equipment o Perform numerical matching of the standard error calibration data of the plastic packaging equipment and search for the mean value data of the packaging error dimension of the packaging operation The values ​​match the standard error calibration data of the plastic packaging equipment c o , perform a search to determine the error calibration data c of the plastic packaging equipment o The specific steps are as follows: S521, initialization, updating the maximum number of iterations T of the algorithm and randomly initializing the error in the optimization space to identify the position of the osprey population; S522, exploration phase, the exploration phase of error recognition osprey population update is based on the simulation of the natural behavior of error recognition osprey. The error recognition osprey randomly detects the mean data of packaging error size of packaging operation in the search space of the standard error calibration data set C of plastic packaging equipment. The values ​​match the standard error calibration data of the plastic packaging equipment c o The target position is determined and attacked, and the new position of the corresponding error recognition osprey is updated on the basis of simulating the error recognition osprey moving toward the target; if the updated new position is better, the initial position of the error recognition osprey before the update is replaced according to the position replacement formula in the exploration phase; S523, Development phase, error identification osprey hunts and tries out packaging error size mean data with packaging operation in the search space of plastic packaging equipment standard error calibration data set C The values ​​match the standard error calibration data of the plastic packaging equipment c o Objective, the development phase of the algorithm error recognition osprey population update is based on modeling the simulation of the natural behavior of error recognition ospreys, calculating new random positions as suitable for eating and packaging operations packaging error size mean data The values ​​match the standard error calibration data of the plastic packaging equipment c o The location of the target, calculate the new mean data of the packaging error size suitable for consumption and packaging operation The value matches the position of the target in the standard error calibration data of the plastic packaging equipment; if the value of the target function is improved at this new position, replace the initialization position of the error identification Osprey before the update according to the position replacement formula in the development stage; S524: When the algorithm meets the maximum number of iterations, output the mean value data of the packaging error size of the packaging operation. The standard error calibration data of the plastic packaging equipment with the best numerical match c o , otherwise continue to execute steps S522 to S523 until the maximum number of iterations is met; S53, the standard error calibration data c of the plastic packaging equipment output in step S524 o Identify and generate plastic packaging equipment to determine error calibration data c queding , c queding The unit is millimeters.

7. A method for calibrating the accuracy of a plastic packaging equipment operation process according to claim 6, characterized in that: The S6 comprises the following steps: S61, establishing standard cutting size data d for plastic packaging equipment, wherein the standard cutting size data for plastic packaging equipment represents standard cutting size data for cutting the length of sealing and fixing materials during the packaging operation of the plastic packaging equipment, and the unit of d is millimeter; S62, analyzing the packaging defect type data A according to the packaging operation jieguo , the plastic packaging equipment determines the error calibration data c queding Perform cutting size calibration parameter measurement processing on the packaging box sealing and fixing material with the standard cutting size data d of the plastic packaging equipment, and generate cutting size calibration data e of the plastic packaging equipment; When the packaging operation packaging defect type analysis result data A jieguo The first type of packaging defect exists in the packaging box. At this time, the plastic packaging device determines the error calibration data c queding If a positive value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = A jieguo +d; When the packaging operation packaging defect type analysis result data A jieguo There is a second type of packaging defect in the packaging box. At this time, the plastic packaging device determines the error calibration data c queding If a negative value is taken, the plastic packaging equipment cutting size calibration data e is output, where e = -A jieguo The unit of +d,e is millimeter.

8. The method for calibrating the accuracy of the operation process of plastic packaging equipment according to claim 7, characterized in that: The S7 comprises the following steps: S71, inputting the cutting size calibration data e of the plastic packaging equipment into the plastic packaging equipment, and controlling the packaging operation process of the plastic packaging equipment to perform the cutting size accuracy calibration operation of the sealing and fixing material of the packaging box according to the cutting size calibration data e of the plastic packaging equipment.

9. A plastic packaging equipment operation process precision calibration system, used to implement a plastic packaging equipment operation process precision calibration method according to any one of claims 1-8, characterized in that: The system comprises a packaging operation defect detection module, a packaging operation error statistics module, and a packaging operation error calibration execution module.

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