Thickness detection method and system for corrugated packaging box production process

Abstract

The present invention discloses a thickness detection method and system for the corrugated packaging box production process, relating to the field of metrology. The method comprises: obtaining a sequence of ultrasonic results for each preset point, the ultrasonic result sequence including the distances between each cardboard layer of the corrugated cardboard and the ultrasonic detection device, as detected along the preset points; determining the data non-uniformity at each preset point based on each ultrasonic result sequence; determining the probability of an inner flute defect at the preset point based on the non-uniform data in the ultrasonic result sequence if the data non-uniformity is greater than or equal to a preset non-uniformity threshold; and determining that an abnormality in the internal flute height of the corrugated cardboard at the preset point exists if the probability of an inner flute defect is greater than or equal to the preset probability threshold. The present invention can improve the accuracy of corrugated cardboard detection.

Description

Technical Field

[0001] The present invention relates to the field of measurement technology, and in particular to a thickness detection method and system for a corrugated packaging box production process. Background Art

[0002] Corrugated packaging, the most widely used packaging product today, is meticulously crafted from corrugated cardboard through a series of processes, including die-cutting, creasing, stapling, and gluing. To ensure that corrugated packaging meets strict quality standards, a series of meticulous property tests are often required during the production process. Thickness testing is a crucial step, not just measuring the outer surface of the corrugated cardboard. It also requires precise measurement of the flute height within the cardboard to determine whether it meets the specified standards.

[0003] Currently, in actual operations, multiple sheets of corrugated cardboard are usually stacked together and then ultrasonic technology is used to detect their thickness.

[0004] However, existing technologies have significant shortcomings when simultaneously testing the thickness of multiple sheets of corrugated cardboard for compliance. They simply rely on the non-uniform data obtained by ultrasonic testing to determine that the flute height within the corrugated cardboard does not meet the standard. This approach fails to consider the presence of gaps within the corrugated cardboard, which can also lead to non-uniform data, resulting in poor accuracy in corrugated cardboard testing. Summary of the Invention

[0005] The embodiments of the present invention provide a thickness detection method and system for a corrugated packaging box production process, which can improve the accuracy of corrugated board detection.

[0006] A first aspect of an embodiment of the present invention provides a thickness detection method for a corrugated packaging box production process, comprising:

[0007] Obtaining a sequence of ultrasonic results at each preset point, wherein the sequence of ultrasonic results includes the distance between each cardboard layer of the corrugated cardboard and the ultrasonic detection device obtained by detection along the preset points;

[0008] Based on each ultrasonic result sequence, the data non-uniformity of each preset point is determined respectively;

[0009] When the data non-uniformity is greater than or equal to a preset non-uniformity threshold, the probability of an inner corrugation defect at a preset point is determined based on the non-uniform data in the ultrasonic result sequence;

[0010] When the probability of inner flute defects is greater than or equal to a preset probability threshold, it is determined that the inner flute height of the corrugated board at a preset point is abnormal.

[0011] In some possible implementations, obtaining a sequence of ultrasound results at each preset point specifically includes:

[0012] Perform ultrasonic testing on the corrugated cardboard along the preset points and receive the ultrasonic waves reflected back from each cardboard layer of the corrugated cardboard;

[0013] Determine the distance between each cardboard layer and the ultrasonic detection device based on the interval between the emission time and the reception time of the ultrasonic wave at the preset point;

[0014] The distances between each cardboard layer and the ultrasonic detection device are sorted in ascending order to obtain an ultrasonic result sequence.

[0015] In some possible implementations, based on each ultrasonic result sequence, the data non-uniformity of each preset point is determined separately, specifically including:

[0016] Obtain the number of sequence elements in a target ultrasonic result sequence, where the target ultrasonic result sequence is any ultrasonic result sequence;

[0017] When the element difference number is greater than or equal to zero, the difference between two adjacent elements in the target ultrasonic result sequence is calculated to obtain a result difference sequence of the target preset point, where the element difference number is the value of the number of sequence elements minus the number of standard elements, and the target preset point is the preset point corresponding to the target ultrasonic result sequence;

[0018] Based on the result difference sequence, the data non-uniformity of the preset points is determined.

[0019] In some possible implementations, determining the data non-uniformity of a preset point based on the result difference sequence specifically includes:

[0020] The mode of the resulting difference sequence is determined as the standard inter-layer spacing;

[0021] The difference between each element in the result difference sequence and the standard layer spacing is accumulated to obtain the total distance difference of the preset point;

[0022] The data non-uniformity of the preset points is determined based on the number of element differences, standard layer spacing, and total distance difference.

[0023] In some possible implementations, the data non-uniformity of a preset point is determined based on the number of element differences, the standard layer spacing, and the total distance difference, specifically including:

[0024] Multiply the number of element differences by the total distance difference to obtain the first calculation result;

[0025] Perform an exponential function operation on the opposite number of the standard interlayer spacing to obtain a second calculation result;

[0026] The first calculation result is divided by the second calculation result to obtain the data non-uniformity of the preset point.

[0027] In some possible implementations, determining the probability of an inner corrugation defect at a preset point based on the non-uniform data in the ultrasonic result sequence specifically includes:

[0028] Acquiring non-uniform data in a target ultrasonic result sequence, where the target ultrasonic result sequence is any ultrasonic result sequence;

[0029] Determining a first defect degree of a target preset point based on target non-uniform data, where the target non-uniform data are two adjacent non-uniform data in the target ultrasonic result sequence, and the target preset point is a preset point corresponding to the target ultrasonic result sequence;

[0030] Comparing the target ultrasonic result sequence with the reference ultrasonic result sequence to determine the second defect degree of the target preset point, where the reference ultrasonic result sequence is the ultrasonic result sequence corresponding to the preset point closest to the target preset point;

[0031] The first defect degree and the second defect degree are used to determine the probability of an inner corrugation defect at a target preset point.

[0032] In some possible implementations, obtaining non-uniform data in a target ultrasound result sequence specifically includes:

[0033] Obtain the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence;

[0034] The data in the target ultrasonic result sequence that is smaller than the difference between the standard inter-slice spacing and the standard deviation is determined as non-uniform data.

[0035] In some possible implementations, when the probability of an inner flute defect is greater than or equal to a preset probability threshold, after determining that an abnormality occurs in the inner flute height of the corrugated paperboard at a preset point, the thickness detection method for a corrugated packaging box production process further includes:

[0036] Based on the inner flute defect points of the corrugated cardboard, the defect impact area of ​​the corrugated cardboard is determined. The inner flute defect points are used to characterize the abnormal inner flute height of the corrugated cardboard;

[0037] The defect-affected area of ​​the corrugated cardboard is repaired to obtain a repaired corrugated cardboard.

[0038] In some possible implementations, based on the inner flute defect points of the corrugated cardboard, the defect-affected area of ​​the corrugated cardboard is determined, specifically including:

[0039] Starting from the inner flute defect point of the corrugated cardboard, thickness detection is performed along both sides in sequence according to the preset step length to obtain the first flute height sequence and the second flute height sequence;

[0040] Subtracting the corresponding data in the first flute height sequence from the data in the second flute height sequence in sequence to obtain a plurality of flute height difference values;

[0041] The area formed by the non-zero flute height difference is determined as the defect-affected area of ​​the corrugated cardboard.

[0042] A second aspect of the embodiments of the present invention provides a thickness detection system for a corrugated packaging box production process, comprising:

[0043] A sequence acquisition module is used to obtain a sequence of ultrasonic results at each preset point, wherein the sequence of ultrasonic results includes the distance between each cardboard layer of the corrugated cardboard and the ultrasonic detection device obtained by detection along the preset points;

[0044] A non-uniformity determination module is used to determine the data non-uniformity of each preset point based on each ultrasonic result sequence;

[0045] A probability determination module is used to determine the probability of an inner corrugation defect at a preset point based on the non-uniform data in the ultrasonic result sequence when the data non-uniformity is greater than or equal to a preset non-uniformity threshold;

[0046] The abnormality determination module is used to determine that the internal flute height of the corrugated cardboard at a preset point is abnormal when the probability of internal flute defects is greater than or equal to a preset probability threshold.

[0047] The present invention has the following beneficial effects:

[0048] In the thickness detection method for the corrugated packaging box production process provided by an embodiment of the present invention, a sequence of ultrasonic results for a preset point is first obtained, and then the data non-uniformity of the preset point is determined based on the ultrasonic result sequence. When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, the probability of inner corrugation defects at the preset point is further analyzed and determined based on the non-uniform data in the ultrasonic result sequence. When the probability of inner corrugation defects is greater than or equal to the preset probability threshold, it is determined that the internal corrugation height of the corrugated cardboard at the preset point is abnormal. In this way, when the data non-uniformity is greater than or equal to the preset non-uniformity threshold, the present invention further analyzes the non-uniform data to determine its cause and determines the probability of inner corrugation defects at the preset point. This makes it possible to accurately determine whether the thickness data of the corrugated cardboard meets the standard, thereby improving the accuracy of corrugated cardboard detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 A schematic flow chart of a first thickness detection method for a corrugated packaging box production process provided by one embodiment of the present invention;

[0051] Figure 2 A schematic diagram of ultrasonic detection of preset points provided by one embodiment of the present invention;

[0052] Figure 3 A schematic diagram of the process of S102 provided in one embodiment of the present invention;

[0053] Figure 4 A schematic diagram of the process of S103 provided in one embodiment of the present invention;

[0054] Figure 5 A schematic diagram of stacking corrugated cardboards provided by one embodiment of the present invention;

[0055] Figure 6 A schematic flow chart of a second thickness detection method for a corrugated packaging box production process provided by one embodiment of the present invention;

[0056] Figure 7 A schematic structural diagram of a thickness detection system for a corrugated packaging box production process provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0057] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effectiveness of a thickness detection method and system for corrugated packaging production according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0058] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0059] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of the present invention comply with the relevant provisions of laws and regulations.

[0060] It should be noted that in the embodiments of the present invention, certain software, components, models and other existing solutions in the industry may be mentioned. They should be regarded as exemplary and their purpose is only to illustrate the feasibility of implementing the technical solution of the present invention, but it does not mean that the applicant has or will necessarily use the solution.

[0061] Corrugated packaging, currently the most widely used packaging product, is manufactured from corrugated cardboard through a series of meticulous processes, including die-cutting, creasing, stapling, and gluing. To ensure that the quality of corrugated packaging meets relevant standards, a series of rigorous and detailed property tests must be implemented throughout the production process. Thickness testing is crucial, focusing not only on measuring the thickness of the corrugated cardboard's outer surface but also on accurately measuring the height of the internal flutes to determine whether it meets the specified standards.

[0062] In actual production, multiple sheets of corrugated cardboard are typically stacked together and their thickness is measured using ultrasonic technology. However, existing technology has significant drawbacks when simultaneously testing the thickness of multiple sheets. This technology simply determines that the flute height within the corrugated cardboard does not meet the standard based on the uneven data obtained by the ultrasonic detector. However, it fails to consider that gaps between the sheets can also cause uneven data, significantly compromising the accuracy of corrugated cardboard testing.

[0063] The purpose of the present invention is to provide a thickness detection method and system for the production process of corrugated packaging boxes. In the thickness detection method for the production process of corrugated packaging boxes provided by the embodiment of the present invention, the ultrasonic result sequence of the preset point is first obtained, and then the data non-uniformity of the preset point is determined based on the ultrasonic result sequence. When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, the probability of inner corrugation defects at the preset point is further analyzed and determined based on the non-uniform data in the ultrasonic result sequence. When the probability of inner corrugation defects is greater than or equal to the preset probability threshold, it is determined that the internal corrugation height of the corrugated cardboard at the preset point is abnormal. In this way, the present invention further analyzes the non-uniform data to determine its cause and determines the probability of inner corrugation defects at the preset point when the data non-uniformity is greater than or equal to the preset non-uniformity threshold. In this way, it is possible to accurately determine whether the thickness data of the corrugated cardboard meets the standard, thereby improving the accuracy of corrugated cardboard detection.

[0064] The following describes a specific embodiment of a thickness detection method and system for a corrugated packaging box production process provided by an embodiment of the present invention.

[0065] like Figure 1As shown, a flow chart of a thickness detection method for a corrugated packaging box production process is provided. The thickness detection method for a corrugated packaging box production process can be applied to a server. The thickness detection method for a corrugated packaging box production process can include the following S101 to S104.

[0066] S101, obtaining an ultrasonic result sequence of each preset point, wherein the ultrasonic result sequence includes the distance between each cardboard layer of the corrugated cardboard and the ultrasonic detection device obtained by detection along the preset points.

[0067] In this embodiment, the preset point is used to represent a preset position for ultrasonic testing. The preset point can be a key position of the corrugated cardboard, such as a flute peak or flute valley, which is set according to the testing requirements and the structural characteristics of the corrugated cardboard.

[0068] like Figure 2 As shown, a schematic diagram of ultrasonic detection of preset points is provided. Among them, the cross-sectional curve of the inner flute of the corrugated cardboard is approximately a sine function curve, with multiple flute peaks and flute valleys. The flute peak position of the corrugated cardboard can be selected as the preset point 202.

[0069] The ultrasonic result sequence includes multiple elements, each element being the distance between each cardboard layer 201 of the corrugated cardboard and the ultrasonic detection device.

[0070] As an example, an ultrasonic testing device is used, which should be able to accurately measure and record the propagation time or reflection of ultrasonic waves in corrugated cardboard. Then, the ultrasonic probe of the ultrasonic testing device is placed along the preset point 202 to transmit ultrasonic waves and receive reflected waves.

[0071] The server then calculates the distance between each corrugated cardboard layer 201 and the ultrasonic detection device based on the propagation speed and reflection time of the ultrasonic wave. It then arranges all distance data obtained along the preset points 202 in chronological or spatial order to form an ultrasonic result sequence.

[0072] S102: Based on each ultrasonic result sequence, determine the data non-uniformity of each preset point.

[0073] In this embodiment, the data non-uniformity is used to characterize the degree of uneven distribution of data in the ultrasound result sequence.

[0074] As an example, the server can calculate the data fluctuation in the ultrasound result sequence, such as statistics such as standard deviation, variance, or range, as a measure of data non-uniformity.

[0075] In addition, more complex algorithms, such as Fourier transform and wavelet transform, can also be used to analyze the frequency components and fluctuation characteristics of the data, so as to more accurately evaluate the data non-uniformity.

[0076] S103 , when the data non-uniformity is greater than or equal to a preset non-uniformity threshold, determining the probability of an inner corrugation defect at a preset point according to the non-uniform data in the ultrasonic result sequence.

[0077] In this embodiment, the non-uniform data is used to represent data that is not distributed according to a regular pattern in the ultrasonic result sequence, and the inner flute defect probability is used to represent the possibility of abnormalities in the inner flute height of the corrugated cardboard at a preset point.

[0078] As an example, a preset nonuniformity threshold is set based on the production standards and quality requirements for corrugated cardboard. When the data nonuniformity at a preset point is greater than or equal to the preset nonuniformity threshold, it is considered that the point may have an inner corrugation defect. The server then uses statistical methods or machine learning algorithms based on the nonuniform data in the ultrasonic result sequence to calculate the probability of an inner corrugation defect at that point. For example, a defect probability model can be established that takes the nonuniform data as input and outputs the probability of an inner corrugation defect.

[0079] S104: When the probability of inner flute defects is greater than or equal to a preset probability threshold, it is determined that an abnormality occurs in the inner flute height of the corrugated paperboard at a preset point.

[0080] In this embodiment, when the probability of an inner corrugation defect at a certain preset point is greater than or equal to a preset probability threshold, it is considered that the inner corrugation height at the point is abnormal.

[0081] The server can then output the abnormality judgment results, which can be displayed on a computer screen, printed as a report, or transmitted to relevant personnel via the network.

[0082] As an optional embodiment, S101 may specifically include:

[0083] Perform ultrasonic testing on the corrugated cardboard along the preset points and receive the ultrasonic waves reflected back from each cardboard layer of the corrugated cardboard;

[0084] Determine the distance between each cardboard layer and the ultrasonic detection device based on the interval between the emission time and the reception time of the ultrasonic wave at the preset point;

[0085] The distances between each cardboard layer and the ultrasonic detection device are sorted in ascending order to obtain an ultrasonic result sequence.

[0086] In this embodiment, if Figure 2As shown, the peak position of the corrugated cardboard is selected as the preset point 202. A special ultrasonic detection device with the function of transmitting and receiving ultrasonic waves is used. The probe of the device is placed on the straight line corresponding to the preset point 202 to ensure that the ultrasonic waves can be effectively transmitted and received.

[0087] Then, the ultrasonic detection device is started to transmit ultrasonic waves to the corrugated cardboard. When the ultrasonic waves propagate in the cardboard, they will be reflected at the interfaces of different cardboard layers 201. The ultrasonic detection device receives the ultrasonic signals reflected back from each cardboard layer 201.

[0088] The ultrasonic detection device then accurately records the transmission and reception times of the ultrasonic wave at the preset point 202. By calculating the interval between the transmission and reception times, the server can determine the round-trip propagation time of the ultrasonic wave within the cardboard. Based on the propagation speed of the ultrasonic wave within the cardboard material and the round-trip propagation time of the ultrasonic wave, the distance between each cardboard layer 201 and the ultrasonic detection device can be calculated.

[0089] Finally, the calculated distance data between each cardboard layer 201 and the ultrasonic testing device is organized and stored in a data structure, such as an array or list. A sorting algorithm (such as bubble sort or quick sort) is then used to sort the distance data in ascending order, yielding a sequence of ultrasonic results.

[0090] This embodiment measures the distance between each cardboard layer and the ultrasonic testing device to generate an ultrasonic result sequence, enabling accurate understanding of the distribution and thickness of each cardboard layer within the corrugated cardboard. This helps to accurately determine whether the internal flute height of the corrugated cardboard is abnormal based on the ultrasonic result sequence, thereby improving the accuracy of corrugated cardboard testing.

[0091] As an optional embodiment, Figure 3 As shown, S102 may specifically include the following S301 to S303.

[0092] S301, obtaining the number of sequence elements in a target ultrasound result sequence, where the target ultrasound result sequence is any ultrasound result sequence;

[0093] S302, when the element difference number is greater than or equal to zero, performing a difference calculation between two adjacent elements in the target ultrasonic result sequence to obtain a result difference sequence of a target preset point, where the element difference number is the number of sequence elements minus the number of standard elements, and the target preset point is the preset point corresponding to the target ultrasonic result sequence;

[0094] S303: Determine the data non-uniformity of the preset points based on the result difference sequence.

[0095] In this embodiment, the number of sequence elements is used to represent the number of elements included in the target ultrasonic result sequence. The elements in the target ultrasonic result sequence are the distances between each paperboard layer and the ultrasonic detection device detected at the target preset points.

[0096] The standard number of elements represents the theoretical number of elements that should be included in the target ultrasonic result sequence if the corrugated cardboard is normal. For example, if the corrugated cardboard is three-layer, each cardboard sheet should contain three layers of sine function curves, meaning that each cardboard sheet contains four cardboard layers. If multiple cardboard sheets are stacked tightly together, ideally there should be 3n+1 cardboard layers, resulting in a standard number of elements of 3n+1.

[0097] The elements in the result difference sequence are the differences between each two adjacent elements in the target ultrasonic result sequence.

[0098] As an example, the server uses a built-in function or method in a programming language to obtain the number of elements in the target ultrasound result sequence.

[0099] If the difference between the number of sequence elements and the number of standard elements is less than zero, it means that not all of the corrugated cardboards to be tested participate in the reflection of the ultrasonic wave. The large number may cause the intensity of the sound wave to be exhausted. It is necessary to appropriately reduce the number of corrugated cardboards to be tested and re-measure.

[0100] If the number of elements that differ between the number of sequence elements and the standard number of elements is greater than or equal to zero, the subsequent operation is performed. Specifically, the target ultrasonic result sequence is traversed, and the difference between two adjacent elements in the target ultrasonic result sequence is calculated to form a result difference sequence of the target preset point.

[0101] Finally, the data non-uniformity of the preset points is determined based on the resulting difference sequence. Specifically, a variety of indicators can be selected to measure data non-uniformity, such as variance, standard deviation, range, etc.

[0102] By calculating data non-uniformity in this embodiment, the distance differences between the layers within the corrugated cardboard can be quantified. This helps to more accurately assess the uniformity of the corrugated cardboard layer structure, determine whether the corrugated cardboard meets quality requirements, and improve the accuracy of corrugated cardboard inspection.

[0103] As an optional embodiment, S303 may specifically include:

[0104] The mode of the resulting difference sequence is determined as the standard inter-layer spacing;

[0105] The difference between each element in the result difference sequence and the standard layer spacing is accumulated to obtain the total distance difference of the preset point;

[0106] The data non-uniformity of the preset points is determined based on the number of element differences, standard layer spacing, and total distance difference.

[0107] In this embodiment, the standard layer spacing is used to represent the standard spacing distance between adjacent paperboard layers.

[0108] As an example, the server performs a statistical analysis on the resulting difference sequence to find the element with the highest frequency, i.e., the mode. This mode is then determined as the standard inter-layer spacing. Specifically, the mode can be calculated using a statistical library function in a programming language.

[0109] Then, for each element in the resulting difference sequence, calculate the difference between it and the standard layer spacing. All calculated differences are then accumulated to obtain the total distance difference of the preset point. Specifically, this process can be implemented through looping and accumulation operations.

[0110] Finally, a data non-uniformity calculation formula is defined based on the element difference number, the standard layer spacing, and the total distance difference, and the data non-uniformity of the preset point is determined based on the defined data non-uniformity calculation formula.

[0111] Through this embodiment, based on the comprehensive consideration of the number of element differences, the standard layer spacing, and the total distance difference, a quantitative indicator is provided for data non-uniformity, thereby enabling a more comprehensive evaluation of data uniformity and stability, and improving the accuracy of data non-uniformity evaluation.

[0112] As an optional embodiment, determining the data non-uniformity of a preset point based on the element difference number, the standard layer spacing, and the total distance difference may specifically include:

[0113] Multiply the number of element differences by the total distance difference to obtain the first calculation result;

[0114] Perform an exponential function operation on the opposite number of the standard interlayer spacing to obtain a second calculation result;

[0115] The first calculation result is divided by the second calculation result to obtain the data non-uniformity of the preset point.

[0116] In this embodiment, the data non-uniformity of the preset points can be specifically determined by the following formula 1:

[0117] Formula 1

[0118] In formula 1, Used to characterize the data non-uniformity of the i-th preset point, The number of element differences used to characterize the i-th preset point, Used to represent the total distance difference of the i-th preset point. Used to characterize the standard interlayer spacing, Used to represent exponential functions with natural constants as base.

[0119] Among them, the element difference number of the i-th preset point The difference between the number of sequence elements in the target ultrasonic result sequence of the i-th preset point and the number of standard elements. The larger the value, the higher the number of times the ultrasonic testing equipment receives the reflected ultrasonic wave is, which means that the number of times the ultrasonic testing equipment receives the reflected ultrasonic wave is greater than the number of cardboard layers to be tested, and the more likely it is that there is an inner corrugation defect. The total distance difference of the i-th preset point is It reflects the uniformity of the spacing between the cardboard layers. The larger the value, the more uneven the spacing between the cardboard layers, and the more likely it is that there will be internal flute defects. It reflects the thickness of the corrugated cardboard. The larger the value, the thicker the corrugated cardboard, the more obvious the impact of its inner flute defects on the uniformity of the data obtained by the ultrasonic testing equipment, and the higher the reference value of the obtained data non-uniformity. Using this value as a correction value can improve the reference value of the calculation results.

[0120] This embodiment comprehensively considers three key factors: the number of element differences, the standard layer spacing, and the total distance difference, to construct an index for quantifying data non-uniformity. This index can more comprehensively and accurately assess the uniformity and stability of data, thereby significantly improving the accuracy of data non-uniformity assessment.

[0121] As an optional embodiment, Figure 4 As shown, S103 may specifically include the following S401 to S404:

[0122] S401, obtaining non-uniform data in a target ultrasonic result sequence, where the target ultrasonic result sequence is any ultrasonic result sequence;

[0123] S402, determining a first defect degree of a target preset point based on target non-uniform data, where the target non-uniform data are two adjacent non-uniform data in the target ultrasonic result sequence, and the target preset point is a preset point corresponding to the target ultrasonic result sequence;

[0124] S403, comparing the target ultrasonic result sequence with the reference ultrasonic result sequence to determine a second defect degree of the target preset point, where the reference ultrasonic result sequence is the ultrasonic result sequence corresponding to the preset point closest to the target preset point;

[0125] S404: Determine the probability of an inner corrugation defect at a target preset point by using the first defect degree and the second defect degree.

[0126] In this embodiment, although the defects on the corrugated cardboard will result in low uniformity of the data obtained at this position, the low uniformity of the data may also be caused by the fact that the corrugated cardboards are not tightly fitted together. Figure 5 The figure below provides a schematic diagram of stacking corrugated cardboard. When multiple sheets of corrugated cardboard are stacked together and ultrasonic technology is used to measure their thickness, data uniformity can be affected if the sheets are not tightly fitted, gaps exist, or foreign matter is present on the surface. Therefore, low data uniformity is only a necessary but not sufficient condition for defects in the corrugated cardboard. Further determination is required to determine whether defects exist.

[0127] Since the corrugated cardboard to be tested is produced to the same specifications and has a substantially uniform thickness, the ultrasonic result sequence should be an arithmetic progression. Therefore, data in the ultrasonic result sequence that does not meet the arithmetic progression condition is determined to be non-uniform data.

[0128] As an example, the server first obtains a target ultrasound result sequence, analyzes the target ultrasound result sequence, and identifies non-uniform data that does not meet the arithmetic progression condition.

[0129] Depend on Figure 5 It can be seen that if gaps appear between corrugated cardboard, the gaps will cause data unevenness, which will appear as an extra uneven data segment out of thin air. In contrast, internal corrugation defects split a previously uniform data segment into two uneven data segments. In this case, the sum of these two uneven data segments should be close to the original uniform data. Therefore, the server screens the uneven data and selects two adjacent uneven data segments in the target ultrasonic result sequence as the target uneven data. Then, based on the target uneven data, the first defect degree of the target preset point is determined using the following formula 2:

[0130] Formula 2

[0131] In formula 2, It is used to characterize the first defect degree formed by the j-th element in the target ultrasonic result sequence of the target preset point i, wherein the j-th element in the target ultrasonic result sequence belongs to the first non-uniform data in the target non-uniform data. It is used to represent the interlayer distance between the jth cardboard layer and the j+1th cardboard layer at the target preset point i. It is used to represent the interlayer distance between the j+1th cardboard layer and the j+2th cardboard layer at the target preset point i. Used to characterize standard interlayer spacing.

[0132] Then, obtain the reference ultrasonic result sequence corresponding to the preset point closest to the target preset point, identify the two elements closest to the j-th element in the target ultrasonic result sequence in the reference ultrasonic result sequence, and determine the second defect degree of the target preset point using the following formula 3:

[0133] Formula 3

[0134] In formula 3, Used to characterize the second defect degree of the target preset point i determined based on the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i. Used to characterize standard interlayer spacing. It is used to represent the t+1th element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i. Used to represent the tth element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i, wherein the tth element and the t+1th element in the reference ultrasonic result sequence are the two elements closest to the jth element in the target ultrasonic result sequence.

[0135] Finally, the first defect degree and the second defect degree are used to determine the probability of inner corrugation defects at the target preset point using the following formula 4:

[0136] Formula 4

[0137] In formula 4, It is used to characterize the probability of inner corrugation defect of the jth element in the target ultrasonic result sequence of the target preset point i. Used to characterize the data non-uniformity of the target preset point i, Used to characterize the first defect degree of the jth element in the target ultrasonic result sequence of the target preset point i. Used to characterize the second defect degree of the target preset point i determined based on the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i.

[0138] Among them, the greater the data non-uniformity of the target preset point, the greater the degree of non-uniformity of the target ultrasonic result sequence caused by the non-uniform data, and the more likely it is caused by an inner corrugation defect; the first defect degree is used to reflect the difference between the sum of the target non-uniform data and the standard layer spacing. The smaller the value, the greater the probability that the target non-uniform data is split from a uniform data, and the more likely it is caused by an inner corrugation defect; the second defect degree is used to reflect the difference between the layer spacing at the same layer position as the target non-uniform data in the reference ultrasonic result sequence of the adjacent preset point and the standard layer spacing. The smaller the value, the more uniform the performance at the same layer position of the adjacent preset points, the stronger the single point nature of the non-uniform data of the target preset point, and the more likely it is caused by an inner corrugation defect.

[0139] This embodiment further analyzes the non-uniform data in the ultrasonic result sequence in detail, accurately determining the probability of inner flute defects corresponding to the non-uniform data. This allows further analysis of the non-uniform data to determine its cause and determine the probability of inner flute defects at a predetermined point. This allows accurate determination of whether the corrugated cardboard thickness meets the required standards, improving the accuracy of corrugated cardboard inspection.

[0140] As an optional embodiment, S401 may specifically include:

[0141] Obtain the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence;

[0142] The data in the target ultrasonic result sequence that is smaller than the difference between the standard inter-slice spacing and the standard deviation is determined as non-uniform data.

[0143] In this embodiment, the server first obtains the result difference sequence corresponding to the target ultrasound result sequence and uses statistical methods to calculate the standard deviation based on each element in the result difference sequence. The standard deviation is an important indicator of data dispersion, reflecting the dispersion of data points around the mean.

[0144] Then, the standard slice spacing is subtracted from the previously calculated standard deviation to obtain a threshold value, which is used to determine whether the elements in the target ultrasound result sequence belong to non-uniform data.

[0145] Finally, each element in the target ultrasound result sequence is traversed, and for each element, it is determined whether it is less than the threshold value calculated previously. If it is less than the threshold value calculated previously, the element is determined to be non-uniform data.

[0146] This embodiment accurately identifies and filters non-uniform data, facilitating subsequent analysis of the non-uniform data and determining the probability of inner flute defects at a predetermined location. This allows for accurate determination of whether the thickness of the corrugated cardboard meets the required standards, thereby improving the accuracy of corrugated cardboard inspection.

[0147] As an optional embodiment, Figure 6 As shown, after S104, the thickness detection method for the corrugated packaging box production process may further include the following S601 to S602:

[0148] S601, determining the defect impact area of ​​the corrugated paperboard based on the inner flute defect points of the corrugated paperboard, where the inner flute defect points are used to indicate abnormal inner flute heights of the corrugated paperboard;

[0149] S602: Repair the defect in the defect-affected area of ​​the corrugated paperboard to obtain a repaired corrugated paperboard.

[0150] In this embodiment, the wavy core paper interlayer inside the corrugated cardboard is often obtained by bending and fixing cardboard of a certain size. If an inner flute defect occurs somewhere, since the side length of the cardboard is fixed, it will affect the non-standard phenomenon around the inner flute defect to a certain extent. Therefore, it is necessary to perform a secondary inspection around the inner flute defect point to determine the area affected by the defect.

[0151] Internal corrugation defect points usually manifest as abnormal internal corrugation height, such as insufficient corrugation height, excessive corrugation height or irregular corrugation shape.

[0152] As an example, the server determines the impact area based on the distribution and severity of the inner flute defect points, combined with the structural characteristics and mechanical properties of the corrugated cardboard. Empirical formulas, finite element analysis, or experimental data can be used to estimate the impact of the inner flute defect on the surrounding area.

[0153] For example, for an inner flute defect point with insufficient flute height, the defect impact area may include several flute distances around the inner flute defect point; for an inner flute defect point with irregular flute shape, the defect impact area may be larger and may even involve the entire cardboard area.

[0154] Then, depending on the type and severity of the inner flute defect, appropriate repair methods are adopted for the affected area. For minor inner flute defects, such as slightly low flute height or slightly irregular flute shape, local pressure, heating, or gluing can be used for repair. For serious inner flute defects, such as seriously insufficient flute height or seriously irregular flute shape, it may be necessary to replace part of the cardboard or reconstruct the entire board.

[0155] This embodiment, based on the location of the inner flute defect of the corrugated cardboard, determines the defect-affected area of ​​the corrugated cardboard and repairs it. This can effectively improve the quality of the corrugated cardboard and reduce problems such as insufficient cardboard strength and poor appearance caused by inner flute defects.

[0156] As an optional embodiment, S601 may specifically include:

[0157] Starting from the inner flute defect point of the corrugated cardboard, thickness detection is performed along both sides in sequence according to the preset step length to obtain the first flute height sequence and the second flute height sequence;

[0158] Subtracting the corresponding data in the first flute height sequence from the data in the second flute height sequence in sequence to obtain a plurality of flute height difference values;

[0159] The area formed by the non-zero flute height difference is determined as the defect-affected area of ​​the corrugated cardboard.

[0160] In this embodiment, the first flute height sequence includes multiple flute height data obtained by starting from the inner flute defect point of the corrugated cardboard and sequentially performing thickness detection along one side according to a preset step length; the second flute height sequence includes multiple flute height data obtained by starting from the inner flute defect point of the corrugated cardboard and sequentially performing thickness detection along the other side according to a preset step length.

[0161] As an example, the server sets a preset step size based on the detection requirements and the structural characteristics of the corrugated cardboard. This step size determines the interval for thickness detection along both sides of the inner flute defect point. For example, assuming the standard flute width is a, the preset step size can be set to .

[0162] Starting at the defect point, perform thickness checks along both sides at the preset step length. Each test yields a flute height value, which is recorded sequentially to form the first and second flute height sequences. Ensure that the data in the first and second flute height sequences correspond, meaning they were measured at the same step length.

[0163] Then, each data in the first flute height sequence is subtracted from the corresponding data in the second flute height sequence to obtain multiple flute height differences. These differences reflect the changes in the flute height of the corrugated board on both sides of the inner flute defect point.

[0164] Then, non-zero flute height differences are selected from the calculated multiple flute height differences, which indicate that flute heights on both sides of the defective point are inconsistent.

[0165] Finally, based on the distribution and size of the non-zero flute height differences, the defect impact area of ​​the corrugated cardboard is determined. This defect impact area includes the inner flute defect point and the area within a certain range around it. The specific range can be adjusted according to actual conditions.

[0166] By performing thickness measurements along both sides of the inner flute defect and calculating the flute height difference in this embodiment, the defect-affected area of ​​the corrugated cardboard can be accurately identified. This facilitates subsequent repair or treatment of all inner flute defects in the corrugated cardboard, thereby improving product quality.

[0167] Based on the thickness detection method for the corrugated packaging box production process, the present invention also provides a specific embodiment of the thickness detection system for the corrugated packaging box production process.

[0168] like Figure 7 FIG. 7 is a schematic diagram of a thickness detection system for a corrugated packaging box production process. The thickness detection system 700 for a corrugated packaging box production process includes a sequence acquisition module 710 , a non-uniformity determination module 720 , a probability determination module 730 , and an anomaly determination module 740 .

[0169] A sequence acquisition module 710 is used to acquire a sequence of ultrasonic results at each preset point, wherein the sequence of ultrasonic results includes the distance between each cardboard layer of the corrugated cardboard and the ultrasonic detection device obtained by detection along the preset points;

[0170] The non-uniformity determination module 720 is used to determine the data non-uniformity of each preset point based on each ultrasonic result sequence;

[0171] The probability determination module 730 is used to determine the probability of an inner corrugation defect at a preset point based on the non-uniform data in the ultrasonic result sequence when the data non-uniformity is greater than or equal to a preset non-uniformity threshold;

[0172] The abnormality determination module 740 is used to determine that an abnormality occurs in the internal flute height of the corrugated paperboard at a preset point when the probability of internal flute defects is greater than or equal to a preset probability threshold.

[0173] In the thickness detection system for the corrugated packaging box production process provided by this embodiment, the ultrasonic result sequence of the preset point is first obtained, and then the data non-uniformity of the preset point is determined based on the ultrasonic result sequence. When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, the probability of inner corrugation defects at the preset point is further analyzed and determined based on the non-uniform data in the ultrasonic result sequence. When the probability of inner corrugation defects is greater than or equal to the preset probability threshold, it is determined that the internal corrugation height of the corrugated cardboard at the preset point is abnormal. In this way, when the data non-uniformity is greater than or equal to the preset non-uniformity threshold, the present invention further analyzes the non-uniform data to determine its cause and determines the probability of inner corrugation defects at the preset point. In this way, it is possible to accurately determine whether the thickness data of the corrugated cardboard meets the standard, thereby improving the accuracy of corrugated cardboard detection.

[0174] It should be understood that the present invention is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted. In the above embodiments, several specific steps are described and illustrated as examples. However, the method of the present invention is not limited to the specific steps described and illustrated. Those skilled in the art may make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present invention.

[0175] It should also be noted that the exemplary embodiments described herein describe methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the steps described above. In other words, the steps may be performed in the order described in the embodiments, or in a different order, or several steps may be performed simultaneously.

[0176] The above description is only a specific embodiment of the present invention. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention.

Claims

1. A thickness detection method for a corrugated packaging box production process, characterized in that: The method comprises: Obtaining a sequence of ultrasonic results at each preset point, wherein the sequence of ultrasonic results includes the distances between each cardboard layer of the corrugated cardboard and the ultrasonic detection device detected along the preset point; Based on each of the ultrasonic result sequences, respectively determining the data non-uniformity of each of the preset points; When the data non-uniformity is greater than or equal to a preset non-uniformity threshold, determining the probability of an inner corrugation defect at the preset point according to the non-uniform data in the ultrasonic result sequence; When the probability of the inner flute defect is greater than or equal to a preset probability threshold, determining that the inner flute height of the corrugated paperboard at the preset point is abnormal; The step of determining the data non-uniformity of each of the preset points based on each of the ultrasonic result sequences comprises: Obtaining the number of sequence elements in a target ultrasonic result sequence, wherein the target ultrasonic result sequence is any one of the ultrasonic result sequences; When the element difference number is greater than or equal to zero, the difference between two adjacent elements in the target ultrasonic result sequence is calculated to obtain a result difference sequence of the target preset point, where the element difference number is the value of the number of sequence elements minus the number of standard elements, and the target preset point is the preset point corresponding to the target ultrasonic result sequence; The mode of the result difference sequence is determined as the standard inter-layer spacing; Accumulating the difference between each element in the result difference sequence and the standard layer spacing to obtain the total distance difference of the preset point; Multiplying the element difference number by the total distance difference to obtain a first calculation result; Performing an exponential function operation on the inverse of the standard interlayer spacing to obtain a second calculation result; Dividing the first calculation result by the second calculation result to obtain the data non-uniformity of the preset point; Determining the probability of an inner corrugation defect at the preset point includes: Acquiring non-uniform data in a target ultrasonic result sequence, wherein the target ultrasonic result sequence is any one of the ultrasonic result sequences; Determining a first defect degree of a target preset point based on target non-uniform data, wherein the target non-uniform data are two adjacent non-uniform data in the target ultrasonic result sequence, and the target preset point is the preset point corresponding to the target ultrasonic result sequence; Comparing the target ultrasonic result sequence with a reference ultrasonic result sequence to determine a second defect degree of the target preset point, wherein the reference ultrasonic result sequence is the ultrasonic result sequence corresponding to the preset point closest to the target preset point; Determining the probability of an inner corrugation defect at the target preset point by using the first defect degree and the second defect degree; The obtaining of non-uniform data in the target ultrasonic result sequence includes: Obtaining the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence; Determining data in the target ultrasonic result sequence that is smaller than the difference between the standard inter-slice spacing and the standard deviation as the non-uniform data; The calculation formula for the first defect degree of the target preset point is: in, It is used to characterize the first defect degree of the jth element in the target ultrasonic result sequence of the target preset point i. It is used to represent the interlayer distance between the jth cardboard layer and the j+1th cardboard layer at the target preset point i. It is used to represent the interlayer distance between the j+1th cardboard layer and the j+2th cardboard layer at the target preset point i. Used to characterize standard interlayer spacing; The calculation formula for the second defect degree of the target preset point is: in, used to characterize the second defect degree of the target preset point i determined based on the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i, It is used to represent the inter-slice spacing corresponding to the t+1th element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i. It is used to represent the inter-slice distance corresponding to the t-th element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i; The calculation formula for the probability of inner corrugation defects at the target preset point is: in, It is used to characterize the probability of inner corrugation defect of the jth element in the target ultrasonic result sequence of the target preset point i. Used to characterize the data non-uniformity of the target preset point i.

2. The thickness detection method for the corrugated packaging box production process according to claim 1 is characterized in that: The step of obtaining a sequence of ultrasonic results at each preset point includes: Performing ultrasonic testing on the corrugated cardboard along the preset points, and receiving ultrasonic waves reflected back from each cardboard layer of the corrugated cardboard; Determining the distance between each of the paperboard layers and the ultrasonic detection device based on the interval between the emission time and the reception time of the ultrasonic wave at the preset point; The distances between each of the paperboard layers and the ultrasonic detection equipment are sorted in ascending order to obtain the ultrasonic result sequence.

3. The thickness detection method for the corrugated packaging box production process according to claim 1 is characterized in that: When the probability of the inner flute defect is greater than or equal to a preset probability threshold, after determining that the inner flute height of the corrugated board at the preset point is abnormal, the method further includes: Determining the defect-affected area of ​​the corrugated paperboard based on the inner flute defect points of the corrugated paperboard, wherein the inner flute defect points are used to characterize the abnormal inner flute height of the corrugated paperboard; The defect-affected area of ​​the corrugated paperboard is repaired to obtain the repaired corrugated paperboard.

4. The thickness detection method for the corrugated packaging box production process according to claim 3 is characterized in that: The step of determining the defect-affected area of ​​the corrugated paperboard based on the inner flute defect points of the corrugated paperboard comprises: Starting from the inner flute defect point of the corrugated cardboard, thickness detection is performed in sequence along both sides according to a preset step length to obtain a first flute height sequence and a second flute height sequence; Subtracting corresponding data in the first flute height sequence from data in the second flute height sequence in sequence to obtain a plurality of flute height difference values; The area formed by the non-zero flute height difference is determined as the defect-affected area of ​​the corrugated paperboard.

5. A thickness detection system for a corrugated packaging box production process, the system being used to implement the method of claim 1, characterized in that: The system comprises: A sequence acquisition module is used to obtain a sequence of ultrasonic results at each preset point, wherein the sequence of ultrasonic results includes the distance between each cardboard layer of the corrugated cardboard and the ultrasonic detection device obtained by detection along the preset point; a non-uniformity determination module, configured to determine the data non-uniformity of each of the preset points based on each of the ultrasonic result sequences; a probability determination module, configured to determine the probability of an inner corrugation defect at the preset point according to the non-uniform data in the ultrasonic result sequence when the data non-uniformity is greater than or equal to a preset non-uniformity threshold; The abnormality determination module is used to determine that an abnormality occurs in the internal flute height of the corrugated board at the preset point when the probability of the internal flute defect is greater than or equal to a preset probability threshold.

Images