Thickness detection method and system for corrugated packaging box production process

Abstract

The invention discloses a thickness detection method and system for a corrugated packaging box production process, and relates to the technical field of metering. The method comprises the following steps: acquiring an ultrasonic result sequence of each preset point location, wherein the ultrasonic result sequence comprises the distance between each paperboard layer of the corrugated board and ultrasonic detection equipment, which is detected along the preset point location; based on each ultrasonic result sequence, respectively determining the data non-uniformity of each preset point location; under the condition that the data non-uniformity is greater than or equal to a preset non-uniformity threshold value, according to non-uniform data in the ultrasonic result sequence, determining an inner ridge defect probability of the preset point location; and under the condition that the inner ridge defect probability is greater than or equal to a preset probability threshold value, determining that the inner ridge height of the corrugated board at the preset point location is abnormal. According to the invention, the accuracy of corrugated board detection can be improved.

Description

Technical Field

[0001] The present invention relates to the field of metrology technology, and more particularly to a thickness detection method and system for the production process of corrugated packaging boxes. Background Art

[0002] Corrugated packaging boxes, as the most widely used packaging products today, are carefully made from corrugated cardboard through a series of processes such as die-cutting, indentation, box nailing, and box gluing. To ensure that the production quality of corrugated packaging boxes strictly meets the standards, a series of detailed attribute detection work is often required during their production process. Among them, thickness detection is a crucial link. Here, the thickness detection not only limits to measuring the thickness of the outer surface of the corrugated cardboard, but more importantly, it is necessary to accurately detect the corrugation height inside the corrugated cardboard to determine whether it meets the specified standards.

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

[0004] However, the existing technology has obvious deficiencies when simultaneously detecting whether the thickness data of multiple corrugated cardboard sheets meets the standards. It simply determines that the corrugation height inside the corrugated cardboard does not meet the standards based on the non-uniform data obtained directly by the ultrasonic detector. It does not consider that when there are gaps between corrugated cardboard sheets, etc., it will also lead to non-uniform data, resulting in poor accuracy of corrugated cardboard detection. Summary of the Invention

[0005] Embodiments of the present invention provide a thickness detection method and system for the production process of corrugated packaging boxes, which can improve the accuracy of corrugated cardboard detection.

[0006] In a first aspect of embodiments of the present invention, a thickness detection method for the production process of corrugated packaging boxes is provided, including: Obtaining an ultrasonic result sequence for each preset point, where the ultrasonic result sequence includes the distances between each cardboard layer of the corrugated cardboard detected along the preset point and the ultrasonic detection device; Based on each ultrasonic result sequence, respectively determining the data non-uniformity degree of each preset point; In the case where the data non-uniformity degree is greater than or equal to a preset non-uniformity threshold, determining the internal corrugation defect probability of the preset point according to the non-uniform data in the ultrasonic result sequence; In the case where the internal corrugation defect probability is greater than or equal to a preset probability threshold, determining that the internal corrugation height of the corrugated cardboard at the preset point is abnormal.

[0007] In some possible implementation manners, obtaining the ultrasonic result sequence for each preset point specifically includes: Perform ultrasonic detection on the corrugated cardboard along the preset points, and receive the ultrasonic waves reflected by each cardboard layer of the corrugated cardboard; Based on the time interval between the emission time and the reception time of the ultrasonic wave at the preset point, determine the distance between each cardboard layer and the ultrasonic detection device; Sort the distances between each cardboard layer and the ultrasonic detection device in ascending order to obtain an ultrasonic result sequence.

[0008] In some possible implementation manners, based on each ultrasonic result sequence, respectively determine the data non-uniformity of each preset point, specifically including: Obtain the number of sequence elements in the target ultrasonic result sequence, and 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, calculate the difference between adjacent two elements in the target ultrasonic result sequence to obtain a result difference sequence of the target preset point. The element difference number is the value obtained by subtracting the standard element number from the number of sequence elements, and the target preset point is the preset point corresponding to the target ultrasonic result sequence; Based on the result difference sequence, determine the data non-uniformity of the preset point.

[0009] In some possible implementation manners, based on the result difference sequence, determine the data non-uniformity of the preset point, specifically including: Determine the standard layer spacing as the mode in the result difference sequence; Accumulate the differences between each element in the result difference sequence and the standard layer spacing to obtain the total distance difference of the preset point; Based on the element difference number, the standard layer spacing, and the total distance difference, determine the data non-uniformity of the preset point.

[0010] In some possible implementation manners, based on the element difference number, the standard layer spacing, and the total distance difference, determine the data non-uniformity of the preset point, specifically including: Multiply the element difference number by the total distance difference to obtain a first calculation result; Perform an exponential function operation on the opposite number of the standard layer spacing to obtain a second calculation result; Divide the first calculation result by the second calculation result to obtain the data non-uniformity of the preset point.

[0011] In some possible implementation manners, according to the non-uniform data in the ultrasonic result sequence, determine the probability of inner corrugation defects at the preset point, specifically including: Obtain the non-uniform data in the target ultrasonic result sequence, and the target ultrasonic result sequence is any one of the ultrasonic result sequences; Based on the target non-uniform data, determine the first flaw degree of the target preset point. The target non-uniform data are two adjacent non-uniform data in the target ultrasonic result sequence in terms of sequence number, and the target preset point is the preset point corresponding to the target ultrasonic result sequence; Compare the target ultrasonic result sequence with the reference ultrasonic result sequence to determine the second flaw degree of the target preset point. The reference ultrasonic result sequence is the ultrasonic result sequence corresponding to the preset point closest to the target preset point; Use the first flaw degree and the second flaw degree to determine the internal rib flaw probability of the target preset point.

[0012] In some possible implementation manners, obtaining the non-uniform data in the target ultrasonic result sequence specifically includes: Obtain the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence; Determine the data in the target ultrasonic result sequence that is less than the difference between the standard layer spacing and the standard deviation as non-uniform data.

[0013] In some possible implementation manners, when the internal rib flaw probability is greater than or equal to the preset probability threshold, after determining that the internal rib height of the corrugated cardboard is abnormal at the preset point, this thickness detection method for the corrugated cardboard production process further includes: Based on the internal rib flaw points of the corrugated cardboard, determine the flaw influence area of the corrugated cardboard. The internal rib flaw points are used to represent the positions of the abnormal internal ribs of the corrugated cardboard; Perform flaw repair on the flaw influence area of the corrugated cardboard to obtain the repaired corrugated cardboard.

[0014] In some possible implementation manners, based on the internal rib flaw points of the corrugated cardboard, determining the flaw influence area of the corrugated cardboard specifically includes: Starting from the internal rib flaw points of the corrugated cardboard, perform thickness detection along both sides in turn at a preset step length to obtain a first rib height sequence and a second rib height sequence; Subtract the corresponding data in the first rib height sequence and the second rib height sequence in turn to obtain a plurality of rib height differences; Determine the area formed by the non-zero rib height differences as the flaw influence area of the corrugated cardboard.

[0015] In the second aspect of the embodiments of the present invention, a thickness detection system for the corrugated cardboard production process is provided, including: A sequence acquisition module, configured to acquire the ultrasonic result sequences of each preset point. The ultrasonic result sequence includes the distances between each cardboard layer of the corrugated cardboard detected along the preset point and the ultrasonic detection device; The non-uniformity determination module is used to respectively determine the data non-uniformity of each preset point based on each ultrasonic result sequence; The probability determination module is used to determine the inner rib flaw probability of 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 the preset non-uniformity threshold; The abnormality determination module is used to determine that the internal rib height of the corrugated board is abnormal at the preset point when the inner rib flaw probability is greater than or equal to the preset probability threshold.

[0016] The present invention has the following beneficial effects: In the thickness detection method for the corrugated packaging box production process provided by the embodiment of the present invention, first, the ultrasonic result sequence of the preset point is obtained, and then, based on the ultrasonic result sequence, the data non-uniformity of the preset point is determined. When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, further, according to the non-uniform data in the ultrasonic result sequence, the inner rib flaw probability of the preset point is analyzed and determined. When the inner rib flaw probability is greater than or equal to the preset probability threshold, it is determined that the internal rib height of the corrugated board is abnormal at the preset point. 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 judge its cause and determines the inner rib flaw probability of the preset point. Thus, it can accurately determine whether the thickness data of the corrugated board meets the standard and improve the accuracy of the corrugated board detection. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a flowchart of the first thickness detection method for the corrugated packaging box production process provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of ultrasonic detection of a preset point provided by an embodiment of the present invention; Figure 3 It is a flowchart of S102 provided by an embodiment of the present invention; Figure 4 It is a flowchart of S103 provided by an embodiment of the present invention; Figure 5 It is a schematic diagram of the stacking of corrugated boards provided by an embodiment of the present invention; Figure 6Schematic flow chart of the second thickness detection method for the corrugated packaging box production process provided by an embodiment of the present invention; Figure 7 Schematic structural diagram of a thickness detection system for the corrugated packaging box production process provided by an embodiment of the present invention. Detailed implementation manners

[0019] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features and effects of a thickness detection method and system for the corrugated packaging box production process according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0021] It should be noted that the acquisition, storage, use, processing, etc. of data in the technical solution of the present invention all comply with the relevant regulations of laws and regulations.

[0022] It should be noted that in the embodiments of the present invention, some industry-existing solutions such as certain software, components, models, etc. may be mentioned. They should be regarded as exemplary. The purpose is only to illustrate the feasibility in the implementation of the technical solution of the present invention, but it does not mean that the applicant has already or necessarily used this solution.

[0023] The corrugated packaging box, as the most commonly used packaging product at present, is manufactured from corrugated cardboard through multiple fine processes such as die-cutting, indentation, box nailing, and box gluing. In order to ensure that the production quality of the corrugated packaging box can truly meet the relevant standards, a series of rigorous and meticulous attribute detection works must be implemented in its production process. Among them, thickness detection is a crucial one. It does not only focus on the thickness measurement of the outer surface of the corrugated cardboard, but more emphasizes the accurate detection of the corrugation height inside the corrugated cardboard to determine whether it meets the specified standards.

[0024] In actual production operations, usually multiple corrugated cardboard sheets are stacked together, and then ultrasonic technology is used to detect their thickness. However, the existing technology has significant defects when simultaneously detecting whether the thickness data of multiple corrugated cardboard sheets is qualified. This technology directly determines that the corrugation height inside the corrugated cardboard does not meet the standard based on the non-uniform data obtained by the ultrasonic detector. It fails to consider that when there are gaps between the corrugated cardboard sheets and other situations, it will also cause non-uniform data, thereby greatly reducing the accuracy of the corrugated cardboard detection.

[0025] The object of the present invention is to provide a thickness detection method and system for the corrugated packaging box production process. In the thickness detection method for the corrugated packaging box production process provided by the embodiments of the present invention, first, an ultrasonic result sequence of preset points is obtained, and then, according to the ultrasonic result sequence, the data non-uniformity of the preset points is determined. When the data non-uniformity is greater than or equal to a preset non-uniformity threshold, further, according to the non-uniform data in the ultrasonic result sequence, the inner corrugation defect probability of the preset points is analyzed and determined. When the inner corrugation defect probability is greater than or equal to a preset probability threshold, it is determined that the inner corrugation height of the corrugated cardboard at the preset points is abnormal. Thus, 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 judge its cause and determines the inner corrugation defect probability of the preset points. Therefore, it can accurately determine whether the thickness data of the corrugated cardboard meets the standard and improve the accuracy of the corrugated cardboard detection.

[0026] The following introduces a specific embodiment of a thickness detection method and system for the corrugated packaging box production process provided by the embodiments of the present invention.

[0027] As Figure 1 shown, a flowchart of a thickness detection method for the corrugated packaging box production process is provided. The thickness detection method for the corrugated packaging box production process can be applied to a server, and the thickness detection method for the corrugated packaging box production process may include the following S101 to S104.

[0028] S101, obtain an ultrasonic result sequence of each preset point, where the ultrasonic result sequence includes the distances between each cardboard layer of the corrugated cardboard detected along the preset point and the ultrasonic detection device.

[0029] In this embodiment, the preset point is used to represent a preset position for ultrasonic detection. The preset point can be a key position of the corrugated cardboard, such as a corrugation peak or a corrugation valley, which is set according to the detection requirements and the structural characteristics of the corrugated cardboard.

[0030] As Figure 2 shown, a schematic diagram of ultrasonic detection of a preset point is provided. Among them, the shape of the inner corrugation section curve of the corrugated cardboard is approximately a sine function curve, and there are multiple corrugation peaks and corrugation valleys. The corrugation peak position of the corrugated cardboard can be selected as the preset point 202.

[0031] The ultrasonic result sequence includes multiple elements, and each element is the distance between each cardboard layer 201 of the corrugated cardboard and the ultrasonic detection device.

[0032] As an example, an ultrasonic detection device is used. This ultrasonic detection device 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 detection device is placed along the preset point 202 to emit ultrasonic waves and receive the reflected waves.

[0033] Then, the server calculates the distances between each cardboard layer 201 of the corrugated cardboard and the ultrasonic detection device based on the propagation speed and reflection time of the ultrasonic waves. And all the distance data detected along the preset point 202 are arranged in chronological or spatial order to form an ultrasonic result sequence.

[0034] S102, Based on each ultrasonic result sequence, determine the data non-uniformity of each preset point respectively.

[0035] In this embodiment, the data non-uniformity is used to characterize the degree of non-uniform distribution of data in the ultrasonic result sequence.

[0036] As an example, the server can calculate the data fluctuation in the ultrasonic result sequence, such as statistical quantities like standard deviation, variance or range, as a measure of the data non-uniformity.

[0037] In addition, more complex algorithms, such as Fourier transform, wavelet transform, etc., 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.

[0038] S103, When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, determine the probability of inner corrugation defect at the preset point according to the non-uniform data in the ultrasonic result sequence.

[0039] In this embodiment, the non-uniform data is used to characterize the data that does not follow a regular distribution in the ultrasonic result sequence, and the probability of inner corrugation defect is used to characterize the possibility of abnormal inner corrugation height of the corrugated cardboard at the preset point.

[0040] As an example, according to the production standards and quality requirements of the corrugated cardboard, set the preset non-uniformity threshold. When the data non-uniformity of a certain preset point is greater than or equal to the preset non-uniformity threshold, it is considered that there may be an inner corrugation defect at this point. At this time, the server uses statistical methods or machine learning algorithms according to the non-uniform data in the ultrasonic result sequence to calculate the probability of inner corrugation defect at this point. For example, a defect probability model can be established, taking the non-uniform data as input and outputting the probability of inner corrugation defect.

[0041] S104, When the probability of inner corrugation defect is greater than or equal to the preset probability threshold, determine that the inner corrugation height of the corrugated cardboard is abnormal at the preset point.

[0042] In this embodiment, when the inner rib flaw probability at a certain preset point is greater than or equal to the preset probability threshold, it is considered that the inner rib height at this point is abnormal.

[0043] Then, the server can output the abnormal judgment result, which can be displayed on a computer screen, printed into a report, or transmitted to relevant personnel through the network.

[0044] As an alternative embodiment, S101 may specifically include: Perform ultrasonic detection on the corrugated cardboard along the preset points, and receive the ultrasonic waves reflected by each cardboard layer of the corrugated cardboard; Based on the time interval between the emission time and the reception time of the ultrasonic wave at the preset point, determine the distance between each cardboard layer and the ultrasonic detection device; Sort the distances between each cardboard layer and the ultrasonic detection device in ascending order to obtain an ultrasonic result sequence.

[0045] In this embodiment, as Figure 2 shown, select the peak position of the corrugation of the corrugated cardboard as the preset point 202. Use a dedicated ultrasonic detection device, which has the function of emitting and receiving ultrasonic waves. Place the probe of the device on the straight line corresponding to the preset point 202 to ensure that the ultrasonic waves can be effectively transmitted and received.

[0046] Then, start the ultrasonic detection device and emit ultrasonic waves to the corrugated cardboard. When the ultrasonic waves propagate in the cardboard, they will be reflected when encountering the interfaces of different cardboard layers 201, and the ultrasonic detection device receives the ultrasonic wave signals reflected by each cardboard layer 201.

[0047] Then, the ultrasonic detection device accurately records the emission time and reception time of the ultrasonic wave at the preset point 202. The server can calculate the time for the ultrasonic wave to travel back and forth in the cardboard by calculating the time interval between the emission time and the reception time. Then, according to the propagation speed of the ultrasonic wave in the cardboard material and in combination with the time for the ultrasonic wave to travel back and forth in the cardboard, the distance between each cardboard layer 201 and the ultrasonic detection device can be calculated.

[0048] Finally, organize the calculated distance data between each cardboard layer 201 and the ultrasonic detection device, and store it in a data structure, such as an array or a list. And use a sorting algorithm (such as bubble sort, quick sort, etc.) to sort the distance data in ascending order to obtain an ultrasonic result sequence.

[0049] Through this embodiment, by measuring the distances between each cardboard layer and the ultrasonic detection device to form an ultrasonic result sequence, the distribution and thickness information of each cardboard layer inside the corrugated cardboard can be accurately understood. Thereby, it helps to accurately judge whether there is an abnormality in the internal corrugation height of the corrugated cardboard according to the ultrasonic result sequence, improving the detection accuracy of the corrugated cardboard.

[0050] As an alternative embodiment, as Figure 3 shown, S102 may specifically include the following S301 to S303.

[0051] S301, obtain the number of sequence elements in the target ultrasonic result sequence, where the target ultrasonic result sequence is any ultrasonic result sequence; S302, when the element difference number is greater than or equal to zero, calculate the difference between adjacent two elements in the target ultrasonic result sequence to obtain the result difference sequence of the target preset point. The element difference number is the value obtained by subtracting the standard element number from the number of sequence elements, and the target preset point is the preset point corresponding to the target ultrasonic result sequence; S303, determine the data non-uniformity of the preset point based on the result difference sequence.

[0052] In this embodiment, the number of sequence elements is used to represent the number of elements included in the target ultrasonic result sequence, and the elements in the target ultrasonic result sequence are the distances between each cardboard layer detected at the target preset point and the ultrasonic detection device.

[0053] The standard element number is used to represent the number of elements that should theoretically be included in the target ultrasonic result sequence when the corrugated cardboard is normal. For example, when the corrugated cardboard belongs to a three-layer corrugated cardboard, a corrugated cardboard should contain three sine function curves, that is, a corrugated cardboard contains a total of four cardboard layers. If multiple corrugated cardboards are stacked closely one on top of the other, ideally a total of 3n + 1 cardboard layers should be obtained, so the standard element number is 3n + 1.

[0054] The elements in the result difference sequence are the differences between adjacent two elements in the target ultrasonic result sequence.

[0055] As an example, the server uses built-in functions or methods in the programming language to obtain the number of elements in the target ultrasonic result sequence.

[0056] When the element difference number between the number of sequence elements and the standard element number is less than zero, it means that not all of the corrugated cardboard to be measured participates in reflecting the ultrasonic wave. It may be that the quantity is too large, resulting in the ultrasonic wave intensity being exhausted. It is necessary to appropriately reduce the quantity of the corrugated cardboard to be measured and measure again.

[0057] When the number of element differences between the number of sequence elements and the number of standard elements is greater than or equal to zero, subsequent operations are performed. Specifically, traverse the target ultrasonic result sequence, calculate the differences between adjacent two elements in the target ultrasonic result sequence, so as to form a result difference sequence of the target preset point positions.

[0058] Finally, based on the result difference sequence, determine the data non-uniformity of the preset point positions. Specifically, multiple indicators can be selected to measure the data non-uniformity, such as variance, standard deviation, range, etc.

[0059] Through this embodiment, calculating the data non-uniformity can quantify the distance differences between the cardboard layers inside the corrugated board. In this way, it helps to more accurately evaluate the uniformity of the cardboard layer structure of the corrugated board, determine whether the corrugated board meets the quality requirements, and improve the accuracy of corrugated board detection.

[0060] As an alternative embodiment, S303 may specifically include: Determine the mode in the result difference sequence as the standard layer spacing; Accumulate the differences between each element in the result difference sequence and the standard layer spacing to obtain the total distance difference of the preset point positions; Based on the number of element differences, the standard layer spacing, and the total distance difference, determine the data non-uniformity of the preset point positions.

[0061] In this embodiment, the standard layer spacing is used to represent the standard interval distance between adjacent cardboard layers.

[0062] As an example, the server performs statistical analysis on the result difference sequence, finds the element with the highest occurrence frequency, that is, the mode, and this mode is determined as the standard layer spacing. Specifically, statistical library functions in programming languages can be used to calculate the mode.

[0063] Then, for each element in the result difference sequence, calculate the difference between it and the standard layer spacing. Then accumulate all the calculated differences to obtain the total distance difference of the preset point positions. Specifically, this process can be achieved through loop and accumulation operations.

[0064] Finally, based on the number of element differences, the standard layer spacing, and the total distance difference, define a calculation formula for data non-uniformity, and determine the data non-uniformity of the preset point positions based on the defined calculation formula for data non-uniformity.

[0065] Through this embodiment, considering the number of element differences, the standard layer spacing, and the total distance difference comprehensively, a quantitative index for data non-uniformity is provided, so as to be able to more comprehensively evaluate the uniformity and stability of the data and improve the evaluation accuracy of data non-uniformity.

[0066] As an alternative embodiment, based on the number of element differences, the standard layer spacing, and the total distance difference, determine the data non-uniformity of the preset point. Specifically, it may include: Multiply the number of element differences by the total distance difference to obtain a first calculation result; Perform an exponential function operation on the negative of the standard layer spacing to obtain a second calculation result; Divide the first calculation result by the second calculation result to obtain the data non-uniformity of the preset point.

[0067] In this embodiment, the data non-uniformity of the preset point can be specifically determined by the following formula 1: Formula 1 In formula 1, represents the data non-uniformity of the i-th preset point, represents the number of element differences of the i-th preset point, represents the total distance difference of the i-th preset point. represents the standard layer spacing, represents the exponential function with the natural constant as the base.

[0068] Among them, the number of element differences of the i-th preset point is 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 this value is, the higher the number of times the ultrasonic detection device receives the reflected ultrasonic waves is compared to the number of cardboard layers to be measured, and the more likely it is that there is an inner corrugation defect; the total distance difference of the i-th preset point reflects the uniformity of the spacing between each cardboard layer. The larger this value is, the more uneven the spacing between the cardboard layers is, and the more likely it is that there is an inner corrugation defect; the standard layer spacing reflects the thickness of the corrugated cardboard. The larger this value is, the thicker the corrugated cardboard is, the more obvious the influence of its inner corrugation defect on the uniformity of the data obtained by the ultrasonic detection device is, and the higher the referenceability of the obtained data non-uniformity. Using this value as a correction value can improve the referenceability of the calculation result.

[0069] Through this embodiment, by comprehensively considering the three key factors of the number of element differences, the standard layer spacing, and the total distance difference, an index for quantifying data non-uniformity is constructed. This index can more comprehensively and accurately evaluate the uniformity and stability of the data, and thus significantly improve the accuracy of data non-uniformity evaluation.

[0070] As an alternative embodiment, as Figure 4 shown, S103 may specifically include the following S401 to S404: S401, obtaining non-uniform data in a target ultrasonic result sequence, where the target ultrasonic result sequence is any ultrasonic result sequence; S402, determining a first defect degree of a target preset point based on target non-uniform data, the target non-uniform data being two non-uniform data having adjacent positions in the target ultrasonic result sequence, and the target preset point being a preset point corresponding to the target ultrasonic result sequence; S403, comparing the target ultrasonic result sequence with the reference ultrasonic result sequence to determine a second defect degree of the target preset point, wherein the reference ultrasonic result sequence is an ultrasonic result sequence corresponding to the preset point closest to the target preset point; S404, using the first defect degree and the second defect degree, determining the probability of an inner corrugation defect at a target preset point.

[0071] In this embodiment, although the defects on the corrugated paperboard will result in low uniformity of the data obtained at this position, the low uniformity of the data may also be caused by the lack of close contact between the corrugated paperboards. Figure 5 As shown in the figure, a schematic diagram of stacking corrugated cardboard is provided. In this case, when multiple sheets of corrugated cardboard are stacked together and ultrasonic technology is used to detect their thickness. If the corrugated cardboard is not tightly fitted, there are gaps or foreign matter on the surface of the corrugated cardboard, it will also affect the data uniformity. Therefore, low data uniformity is only a necessary but not sufficient condition for the occurrence of defects in the corrugated cardboard. To determine whether there are defects, further judgment is still required.

[0072] Among them, since the corrugated cardboard to be tested is produced with the same specifications and its thickness is basically uniform, the obtained ultrasonic result sequence should be a certain number of arithmetic progressions. Therefore, the data in the ultrasonic result sequence that does not meet the arithmetic progression conditions is determined as non-uniform data.

[0073] As an example, the server first obtains the target ultrasonic result sequence, analyzes the target ultrasonic result sequence, and identifies the non-uniform data that does not meet the arithmetic progression condition.

[0074] Depend on Figure 5 It can be seen that if there is a gap between the corrugated cardboard, the gap will cause uneven data, which is manifested in the appearance of an extra uneven data segment out of thin air; in contrast, the inner corrugation defect will split a certain originally uniform data into two uneven data segments, and the sum of these two uneven data segments should be close to the original uniform data. Therefore, the server screens the non-uniform data and selects two adjacent non-uniform data in the target ultrasonic result sequence as the target non-uniform data. Then, based on the target non-uniform data, the first defect degree of the target preset point is determined by the following formula 2: Formula 2 In Formula 2, It represents the first flaw degree of the j-th element in the target ultrasonic result sequence used to characterize the target preset point i, where the j-th element in the target ultrasonic result sequence belongs to the first non-uniform data in the target non-uniform data. It represents the layer spacing between the j-th cardboard layer and the (j + 1)-th cardboard layer at the target preset point i. It represents the layer spacing between the (j + 1)-th cardboard layer and the (j + 2)-th cardboard layer at the target preset point i. It represents the standard layer spacing.

[0075] Then, obtain the reference ultrasonic result sequence corresponding to the preset point closest to the target preset point, identify the two elements in the reference ultrasonic result sequence that are closest to the j-th element in the target ultrasonic result sequence, and determine the second flaw degree of the target preset point through the following Formula 3: Formula 3 In Formula 3, It represents the second flaw 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 represents the standard layer spacing. It represents the (t + 1)-th element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i. It represents the t-th element in the reference ultrasonic result sequence corresponding to the preset point k closest to the target preset point i, where the t-th element and the (t + 1)-th element in the reference ultrasonic result sequence are the two elements closest to the j-th element in the target ultrasonic result sequence.

[0076] Finally, use the first flaw degree and the second flaw degree to determine the inner edge flaw probability of the target preset point through the following Formula 4: Formula 4 In Formula 4, It represents the inner edge flaw probability of the j-th element in the target ultrasonic result sequence of the target preset point i. It represents the data non-uniformity degree of the target preset point i. It represents the first flaw degree formed by the j-th element in the target ultrasonic result sequence of the target preset point i. It represents the second flaw 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.

[0077] Among them, the greater the non-uniformity of the data at 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 inner rib defects; 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 this 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 inner rib defects; 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 adjacent preset points and the standard layer spacing. The smaller this value, the more uniform the performance at the same layer position of adjacent preset points, the stronger the singularity of the non-uniform data at the target preset point, and the more likely it is caused by inner rib defects.

[0078] Through this embodiment, by further and detailedly analyzing the non-uniform data in the ultrasonic result sequence, the probability of inner rib defects corresponding to the non-uniform data can be accurately determined. In this way, further analyze the non-uniform data to judge its cause and determine the probability of inner rib defects at the preset point. Thus, it can accurately determine whether the thickness data of the corrugated board meets the standard and improve the accuracy of corrugated board detection.

[0079] As an alternative embodiment, S401 may specifically include: Obtain the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence; Determine the data in the target ultrasonic result sequence that is less than the difference between the standard layer spacing and the standard deviation as non-uniform data.

[0080] In this embodiment, the server first obtains the result difference sequence corresponding to the target ultrasonic result sequence, and uses statistical methods to calculate the standard deviation according to each element in the result difference sequence. Among them, the standard deviation is an important indicator to measure the degree of data dispersion, which reflects the dispersion of data points around the average value.

[0081] Then, subtract the standard deviation calculated above from the standard layer spacing to obtain a threshold. This threshold is used to judge whether the elements in the target ultrasonic result sequence belong to non-uniform data.

[0082] Finally, traverse each element in the target ultrasonic result sequence. For each element, judge whether it is less than the threshold calculated above. If it is less than the threshold calculated above, then determine the element as non-uniform data.

[0083] Through this embodiment, by accurately identifying and screening non-uniform data, it helps to analyze the non-uniform data subsequently and judge the probability of inner rib defects at the preset point. Thus, it can accurately determine whether the thickness data of the corrugated board meets the standard and improve the accuracy of corrugated board detection.

[0084] As an alternative embodiment, such asFigure 6 As shown, after S104, the thickness detection method for the corrugated box production process may further include the following S601 to S602: S601, based on the internal rib defect points of the corrugated board, determine the defect influence area of the corrugated board. The internal rib defect points are used to characterize the abnormal internal rib heights of the corrugated board; S602, perform defect repair on the defect influence area of the corrugated board to obtain the repaired corrugated board.

[0085] In this embodiment, the internal wavy core paper sandwich of the corrugated board is usually obtained by bending and fixing a cardboard of a certain size. If an internal rib defect occurs at a certain place, due to the fixed side length of the cardboard, to a certain extent, it will also affect the appearance of non-standard phenomena around the internal rib defect. Therefore, it is necessary to perform secondary detection on the periphery of the internal rib defect points to determine the defect influence area.

[0086] The internal rib defect points usually show abnormalities in the internal rib height, such as insufficient rib height, excessive rib height, or irregular rib shape, etc.

[0087] As an example, the server determines the defect influence area according to the distribution and severity of the internal rib defect points, combined with the structural characteristics and mechanical properties of the corrugated board. Methods such as empirical formulas, finite element analysis, or experimental data can be used to estimate the influence range of the internal rib defect on the surrounding area.

[0088] For example, for the internal rib defect points with insufficient rib height, the defect influence area may include several rib pitches around the internal rib defect points; for the internal rib defect points with irregular rib shape, the defect influence area may be larger, and may even involve the entire cardboard area.

[0089] Then, according to the type and severity of the internal rib defect, take appropriate repair methods for the defect influence area. For minor internal rib defects, such as slightly lower rib height or slightly irregular rib shape, methods such as local pressing, heating, or gluing can be used for repair; for severe internal rib defects, such as severely insufficient rib height or severely irregular rib shape, it may be necessary to replace some cardboard or perform overall reconstruction.

[0090] Through this embodiment, based on the internal rib defect points of the corrugated board, determine the defect influence area of the corrugated board and repair it. It can effectively improve the quality of the corrugated board and reduce problems such as insufficient cardboard strength and poor appearance caused by internal rib defects.

[0091] As an alternative embodiment, S601 may specifically include: Taking the internal rib defect points of the corrugated board as the starting point, perform thickness detection along both sides in turn at a preset step length to obtain a first rib height sequence and a second rib height sequence; Subtract the corresponding data in the first corrugation height sequence and the second corrugation height sequence in turn to obtain a plurality of corrugation height differences; Determine the area formed by the non-zero corrugation height differences as the defective area of the corrugated board.

[0092] In this embodiment, the first corrugation height sequence includes a plurality of corrugation height data obtained by sequentially performing thickness detection along one side from the inner corrugation defect point of the corrugated board at a preset step; the second corrugation height sequence includes a plurality of corrugation height data obtained by sequentially performing thickness detection along the other side from the inner corrugation defect point of the corrugated board at a preset step.

[0093] As an example, the server sets a preset step according to the detection requirements and the structural characteristics of the corrugated board. This step determines the interval for thickness detection along both sides of the inner corrugation defect point. For example, assuming the standard corrugation width is a, the preset step can be set to .

[0094] Starting from the defect point, perform thickness detection sequentially along both sides at the preset step. Each detection obtains a corrugation height value, and these values are sequentially recorded to form the first corrugation height sequence and the second corrugation height sequence. Ensure that the data in the first corrugation height sequence and the second corrugation height sequence are corresponding, that is, they are obtained under the same step.

[0095] Then, subtract each data in the first corrugation height sequence from the corresponding data in the second corrugation height sequence to obtain a plurality of corrugation height differences. These differences reflect the change of the corrugation height on both sides of the inner corrugation defect point of the corrugated board.

[0096] Then, select the non-zero corrugation height differences from the calculated plurality of corrugation height differences. These non-zero corrugation height differences indicate that there is a situation of inconsistent corrugation height on both sides of the defect point.

[0097] Finally, determine the defective area of the corrugated board according to the distribution and magnitude of the non-zero corrugation height differences. This defective area includes the inner corrugation defect point and the area within a certain range around it, and the specific range can be adjusted according to the actual situation.

[0098] Through this embodiment, by performing thickness detection along both sides of the inner corrugation defect point and calculating the corrugation height differences, the defective area of the corrugated board can be accurately identified. In this way, it helps to repair or process all inner corrugation defects of the corrugated board subsequently, improving the product quality.

[0099] Based on the thickness detection method for the corrugated packaging box production process, correspondingly, the present invention also provides a specific embodiment of the thickness detection system for the corrugated packaging box production process.

[0100] Such as Figure 7As shown, a structural schematic diagram of a thickness detection system for the corrugated packaging box production process is provided. The thickness detection system 700 for the 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.

[0101] The sequence acquisition module 710 is configured to acquire ultrasonic result sequences at various preset points. Each ultrasonic result sequence includes the distances between each cardboard layer of the corrugated cardboard and the ultrasonic detection device detected along the preset points. The non-uniformity determination module 720 is configured to respectively determine the data non-uniformity at each preset point based on each ultrasonic result sequence. The probability determination module 730 is configured to, when the data non-uniformity is greater than or equal to a preset non-uniformity threshold, determine the inner-liner flaw probability at the preset point according to the non-uniform data in the ultrasonic result sequence. The anomaly determination module 740 is configured to, when the inner-liner flaw probability is greater than or equal to a preset probability threshold, determine that the inner-liner height of the corrugated cardboard is abnormal at the preset point.

[0102] In the thickness detection system for the corrugated packaging box production process provided in this embodiment, first, the ultrasonic result sequences at the preset points are acquired, and then, according to the ultrasonic result sequences, the data non-uniformity at the preset points is determined. When the data non-uniformity is greater than or equal to the preset non-uniformity threshold, further, according to the non-uniform data in the ultrasonic result sequence, the inner-liner flaw probability at the preset point is analyzed and determined. When the inner-liner flaw probability is greater than or equal to the preset probability threshold, it is determined that the inner-liner height of the corrugated cardboard is abnormal at the preset point. In this way, in the case where 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 judge its cause and determines the inner-liner flaw probability at the preset point. Thus, it can accurately determine whether the thickness data of the corrugated cardboard meets the standard and improve the accuracy of corrugated cardboard detection.

[0103] It should be clear that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, the detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present invention.

[0104] It should also be noted that in the exemplary embodiments mentioned in the present invention, some methods or systems are described based on a series of steps or devices. However, the present invention is not limited to the order of the above steps. That is to say, the steps can be executed in the order mentioned in the embodiments, or different from the order in the embodiments, or several steps can be executed simultaneously.

[0105] As described above, the above is only the specific implementation manner of the present invention. Those skilled in the art can 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 foregoing method embodiments, and will not be repeated herein. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or replacements, and these modifications or replacements should all be covered within 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: Acquire an ultrasonic result sequence of each preset point, wherein the ultrasonic result sequence includes the distance between each paperboard layer of the corrugated paperboard and the ultrasonic detection device obtained by detection along the preset point; Based on each of the ultrasonic result sequences, respectively determine the data non-uniformity of each of the preset points; In the case where 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 inner flute defect probability is greater than or equal to a preset probability threshold, it is determined that the inner flute height of the corrugated board at the preset point is abnormal.

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 paperboard along the preset points, and receiving ultrasonic waves reflected back from each paperboard layer of the corrugated paperboard; Determine 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: 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 a target preset point, wherein 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; Based on the result difference sequence, the data non-uniformity of the preset point is determined.

4. The thickness detection method for the corrugated packaging box production process according to claim 3 is characterized in that: The determining the data non-uniformity of the preset point based on the result difference sequence includes: The mode in the result difference sequence is determined as the standard interlayer spacing; Accumulate 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; The data non-uniformity of the preset point is determined based on the element difference number, the standard layer spacing and the total distance difference.

5. The thickness detection method for the corrugated packaging box production process according to claim 4 is characterized in that: The determining the data non-uniformity of the preset point based on the element difference number, the standard layer spacing and the total distance difference includes: Multiplying the element difference number by the total distance difference to obtain a first calculation result; Performing an exponential function operation on the inverse number of the standard interlayer spacing to obtain a second calculation result; The first calculation result is divided by the second calculation result to obtain the data non-uniformity of the preset point.

6. The thickness detection method for the corrugated packaging box production process according to claim 1 is characterized in that: The step of determining the probability of an inner corrugation defect at the preset point according to the non-uniform data in the ultrasonic result sequence 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, the reference ultrasonic result sequence being the ultrasonic result sequence corresponding to the preset point closest to the target preset point; The first defect degree and the second defect degree are used to determine the probability of an inner corrugation defect at the target preset point.

7. The thickness detection method for the corrugated packaging box production process according to claim 6 is characterized in that: The step of acquiring non-uniform data in a target ultrasonic result sequence includes: Obtaining the standard deviation of the result difference sequence corresponding to the target ultrasonic result sequence; The data in the target ultrasonic result sequence that is smaller than the difference between the standard layer spacing and the standard deviation is determined as the non-uniform data.

8. 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 the preset probability threshold, after determining that the inner flute height of the corrugated board at the preset point is abnormal, the method further includes: Based on the inner flute defect points of the corrugated paperboard, determining the defect impact area 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.

9. The thickness detection method for the corrugated packaging box production process according to claim 8, characterized in that: The step of determining the defect impact area of ​​the corrugated paperboard based on the inner flute defect points of the corrugated paperboard comprises: Taking the inner flute defect point of the corrugated paperboard as the starting point, 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 the corresponding data in the first flute height sequence and 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 influence area of ​​the corrugated paperboard.

10. A thickness detection system for the corrugated packaging box production process, characterized in that: The system comprises: A sequence acquisition module, used to acquire an ultrasonic result sequence of each preset point, wherein the ultrasonic result sequence includes the distance between each paperboard layer of the corrugated paperboard and the ultrasonic detection device obtained by detection along the preset point; A non-uniformity determination module, used 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 the internal flute height of the corrugated board at the preset point is abnormal when the probability of the internal flute defect is greater than or equal to a preset probability threshold.

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