Internet-of-things intelligent control system of high-speed corrugated board grooving machine

Abstract

The invention relates to an internet-of-things intelligent control system of a high-speed corrugated board grooving machine. Comprising an acquisition module for acquiring height data of different positions of a target paperboard on an input conveyor belt and conveyor belt deformation quantity of the input conveyor belt; the calculation module is used for calculating the real-time tension of the target paperboard based on the paperboard deformation quantity of the target paperboard and the conveying belt deformation quantity; the first determining module is used for determining the reference conveying speed of the input conveying belt corresponding to the target paperboard according to the real-time tension, the preset tension of the target paperboard and the initial conveying speed of the input conveying belt; the second determining module is used for determining the target conveying speed of the input conveying belt according to the real-time tension of a plurality of target paperboards on the input conveying belt, the reference conveying speeds corresponding to the target paperboards respectively and the position data of the target paperboards; the control module controls the input conveyor belt to operate based on the target conveying speed. According to the system, the problem that a paperboard is deformed due to the fact that the paperboard cannot keep constant tension at a fixed conveying speed is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to an intelligent control system of a high-speed corrugated board slotting machine. BACKGROUND

[0002] The high-speed corrugated board slotting machine is a device widely used in the corrugated box production line, mainly used for slotting, corner cutting, line pressing and other processes on the corrugated board, so that the board has the function of subsequent folding and forming. In the field of high-speed corrugated board slotting machine, the introduction of the intelligent control system not only significantly improves the automation degree and operation efficiency of the equipment, but also makes the whole paper box production line more visual and controllable. Thus ensuring the long-term stable operation of the corrugated board slotting machine.

[0003] At present, when cutting corrugated board through a high-speed corrugated board slotting machine, the paper board is generally input and output in sequence through a conveying belt. However, the conveying belt of the current slotting machine generally transports the paper board at a constant speed. However, since the slotting machine needs to cut different types of corrugated board (thin paper, thick paper, smooth paper, rough paper, etc.), the tension of different types of paper board changes during transportation. The fixed conveying speed cannot balance the change of the paper board tension, causing the corrugated paper to slip, break or deform during transportation, thereby affecting the stability of the production line. SUMMARY

[0004] In order to solve the above technical problems, the purpose of the present application is to provide an intelligent control system of a high-speed corrugated board slotting machine, and the technical solution adopted is as follows:

[0005] An intelligent control system of a high-speed corrugated board slotting machine, the intelligent control system comprises:

[0006] An acquisition module for acquiring height data of different positions of a target paper board on an input conveying belt and a conveying belt deformation variable of the input conveying belt;

[0007] A calculation module for calculating a real-time tension of the target paper board based on a paper board deformation variable of the target paper board and the conveying belt deformation variable; wherein the paper board deformation variable is determined according to the difference between the center height of the target paper board and the height of each position point on the edge of the target paper board; the height data includes the center height, the height of each position point on the edge of the target paper board;

[0008] A first determination module for determining a reference conveying speed of the input conveying belt corresponding to the target paper board according to the real-time tension, a preset tension of the target paper board and an initial conveying speed of the input conveying belt;

[0009] a second determining module, configured to determine a target conveying speed of the input conveying belt according to real-time tension of a plurality of target paperboards on the input conveying belt, reference conveying speeds corresponding to the plurality of target paperboards respectively, and position data of the plurality of target paperboards;

[0010] a control module, configured to control operation of the input conveying belt based on the target conveying speed.

[0011] Optionally, the calculation module is further configured to:

[0012] determine, for a single edge region of the target paperboard, a height of a target position point on the edge region with a maximum difference from the center height, and determine an edge deformation variable according to an absolute difference between the height of the target position point and the center height;

[0013] determine the paperboard deformation variable according to a mean value of edge deformation variables of at least two edge regions of the target paperboard.

[0014] Optionally, the calculation module is further configured to:

[0015] calculate the real-time tension of the target paperboard based on a product of the paperboard deformation variable of the target paperboard and the conveying belt deformation variable.

[0016] Optionally, the first determining module is further configured to:

[0017] determine the reference conveying speed corresponding to the target paperboard based on a product of a tension ratio value and the initial conveying speed, the tension ratio value indicating a ratio of the real-time tension to the preset tension.

[0018] Optionally, the second determining module is further configured to:

[0019] calculate a position weight according to a ratio of an interval distance between the target paperboard and a slotting component to a residence time of the target paperboard on the input conveying belt, the slotting component being connected with the input conveying belt, and the position data including the interval distance between the target paperboard and the slotting component;

[0020] determine a speed weight based on a product of a tension dispersion degree of the target paperboard and the position weight, the tension dispersion degree being obtained according to real-time tensions of the target paperboard at different time points.

[0021] Optionally, the second determining module is further configured to:

[0022] obtain the target conveying speed according to a sum of products of reference conveying speeds of the plurality of target paperboards and weight proportions of the target paperboards; the weight proportions being determined according to speed weights of the target paperboards at a target time point.

[0023] Optionally, the tension dispersion degree is obtained according to a difference between real-time tensions of the target paperboard at two adjacent time points.

[0024] Optionally, the second determining module is further configured to:

[0025] In response to the target paperboard having a residence time on the input conveyor belt less than other paperboards, it is determined that the target paperboard has a position weight greater than other paperboards.

[0026] Optionally, the second determining module is further configured to:

[0027] In response to the target paperboard having a distance from the slotting component less than other paperboards, it is determined that the target paperboard has a position weight less than other paperboards.

[0028] Optionally, the intelligent control system further comprises a warning module configured to:

[0029] In response to the paperboard deformation variable being greater than a preset deformation variable, it is determined to issue a warning.

[0030] On the basis of common general knowledge in the art, the above-mentioned preferred conditions can be combined arbitrarily, thereby obtaining preferred examples of the present application.

[0031] The present application has the following beneficial effects: based on a paperboard deformation variable of a target paperboard and a conveyor belt deformation variable, a real-time tension of the target paperboard on an input conveyor belt is calculated, and then a target conveying speed of the input conveyor belt is determined according to real-time tensions of multiple target paperboards on the input conveyor belt and a reference conveying speed; the intelligent control system controls the input conveyor belt to run based on the target conveying speed, thereby minimizing paperboard loss. The present application optimizes the problem that different types of corrugated paperboard cannot maintain constant tension at a fixed conveying speed, thereby maximizing the yield of paperboard cutting and the running stability of the slotting machine. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art and the advantages thereof, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor based on these drawings.

[0033] Figure 1 A structure schematic diagram of an intelligent control system of a high-speed corrugated paperboard slotting machine according to an embodiment of the present application;

[0034] Figure 2 A slotting machine running schematic diagram of an intelligent control system of a high-speed corrugated paperboard slotting machine according to an embodiment of the present application;

[0035] Figure 3 A flow chart of an intelligent control method of a high-speed corrugated board slotting machine according to an embodiment of the present application;

[0036] Figure 4 A structural schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to further illustrate the technical means and effects taken by the present application to achieve the predetermined purposes, the specific embodiments, structures, features and effects of the intelligent control system of the high-speed corrugated board slotting machine according to the present application are described in detail as follows in combination with the drawings and preferred embodiments. 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.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0039] It should be noted that the diagrams provided in the embodiments only schematically illustrate the basic concepts of the present application, and only the components related to the present application are shown in the diagrams, not the number, shape and size of the components when actually implemented. The actual implementation of each component may be arbitrarily changed in shape, number and proportion, and the layout pattern of the components may also be more complex. The structure, proportion, size, etc. shown in the diagrams attached to the present application are only used to understand and read the content disclosed in the specification by those skilled in the art, and do not limit the conditions that can be implemented by the present application, so they do not have technical significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects and purposes that can be achieved by the present application, should still fall within the scope of the technical content disclosed by the present application. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" used in the specification are only for the convenience of understanding and clarity of description, not to limit the scope of the present application that can be implemented, and the change or adjustment of the relative relationship, without substantially changing the technical content, is also considered as the scope of the present application that can be implemented.

[0040] Reference to "an embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that any of the embodiments described herein can be incorporated into any other embodiment.

[0041] As used herein, the terms "a," "an," "one," and "the" mean one or more, unless the context clearly indicates otherwise. The term "includes" means "comprises" and "comprising," and the transitional phrases "comprising," "having," "including," and "containing," do not preclude the presence of additional steps, elements, or elements.

[0042] As used herein, the terms "a," "an," "one," and "the" mean one or more, unless the context clearly indicates otherwise. The term "includes" means "comprises" and "comprising," and the transitional phrases "comprising," "having," "including," and "containing," do not preclude the presence of additional steps, elements, or elements.

[0043] The prefix words such as "first", "second" are used in the embodiments of the present application only to distinguish different described objects, and do not have the limiting effect on the position, order, priority, quantity or content of the described objects. The use of ordinal words such as ordinal words in the embodiments of the present application does not limit the described objects, and the description of the described objects should be referred to the description of the context in the embodiments, and should not be limited by the use of such prefix words. In addition, in the description of the embodiments, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0044] The specific scheme of the intelligent control system of the corrugated paper slotting machine provided by the application will be described in detail below with reference to the accompanying drawings, as shown in the specific scheme of the intelligent control system of the corrugated paper slotting machine provided by the application, Figure 1 As shown in the specific scheme of the intelligent control system of the corrugated paper slotting machine provided by the application,

[0045] The acquisition module 11 is used for acquiring the height data of different positions of the target paperboard on the input conveyor belt and the conveyor belt deformation amount of the input conveyor belt.

[0046] The height data is obtained by a laser scanner in the intelligent internet of things control system.

[0047] The laser scanner can be installed perpendicularly to the input conveyor belt and connected to the acquisition module, continuously scans the surface of the paperboard, and outputs the center height of the target paperboard and the height of each position point on the edge of the target paperboard to the acquisition module.

[0048] The laser sensor can irradiate the back of the input conveyor belt perpendicularly and is connected to the acquisition module, and transmits the detected conveyor belt deformation variable to the acquisition module, and the conveyor belt deformation variable is a vertical deformation variable.

[0049] The target paperboard can be a paperboard at any position on the input conveyor belt, and the paperboard can be corrugated paperboard, cardboard, art paper, honeycomb paperboard, etc.

[0050] The sampling frequency of the height data and the conveyor belt deformation variable is set according to the actual situation, for example, it can be 0.5 seconds, 1 second, 1.5 seconds, etc.

[0051] The embodiment of the application can obtain the height data of the surface position of different target paperboards through the laser scanner in the intelligent internet of things control system, and obtain the conveyor belt deformation variable and the real-time position of the paperboard generated by the different target paperboards on the input conveyor belt through the laser sensor. The sampling frequency can be set to 1 second, and the target paperboard is monitored from the moment it completely enters the input conveyor belt.

[0052] As shown in Figure 2 The intelligent internet of things control system further includes a slotting machine, which is in communication connection with each module. The slotting machine can be a high-speed corrugated paperboard slotting machine. The slotting machine includes a conveyor belt and a slotting component. The conveyor belt is divided into an input conveyor belt and an output conveyor belt. The slotting machine cuts a notch and a crease in the longitudinal direction of the unslotted corrugated paperboard at a set position through the conveyor belt and the slotting component, which is used for folding the subsequent carton. The main structure of the slotting machine includes an input conveyor belt, a slotting component, and an output conveyor belt, which are connected in sequence. When the intelligent internet of things control system is running, the input conveyor belt transports the unprocessed paperboard to the slotting component, cuts and lines the paperboard through the slotting component, and then collects the paperboard through the output conveyor belt.

[0053] The calculation module 12 is configured to calculate the real-time tension of the target paperboard based on the paperboard deformation variable of the target paperboard and the conveyor belt deformation variable.

[0054] The paperboard deformation variable is determined according to the difference between the center height of the target paperboard and the height of each position point on the edge of the target paperboard, and the height data includes the center height of the target paperboard and the height of each position point on the edge of the target paperboard.

[0055] For the unprocessed paperboard itself, it can be affected by unknown load during loading and unloading and transportation, resulting in bending deformation. The greater the bending deformation of the paperboard, the greater the tension generated by the paperboard itself, and the more unstable the paperboard. The paperboard deformation variable of the target paperboard can be determined according to the difference between the height of the center of the target paperboard and the height of each position point on the edge of the target paperboard.

[0056] Since the high-speed corrugated paper slotting machine transmits the paperboard through the conveying belt, the tension plays a role in stabilizing the paper during the corrugated paper conveying process. However, different paperboards have different states during transmission, which may cause tension changes, resulting in deviation or damage, thereby affecting cutting efficiency. Adjusting the conveying speed of the conveying belt can help the paperboard to offset or stabilize the tension change and keep the tension constant. Therefore, in order to adjust the speed of the conveying belt in real time, the real-time tension of different paperboards is first determined.

[0057] During dynamic transportation, the tension generated by the target paperboard on the conveying belt can be divided into two types: ① the tension generated by the bending deformation of the paperboard itself: usually caused by external load or bending, and changes with material deformation. ② the feedback tension of the conveying belt to the paperboard: since the force between the paperboard and the conveying belt is mutual, it is mainly the tension of the conveying belt fed back to the paperboard to overcome the downward pressure of the paper on the conveying belt.

[0058] Since the bending deformation degree of the target paperboard is proportional to the generated tension, the real-time paperboard deformation variable can be used as its own tension. Then the real-time feedback tension of the target paperboard is calculated. Since the feedback tension of the target paperboard is generally generated by the conveying belt acting on the paperboard during transportation, due to the mutual nature of force, the conveying belt deformation variable of the paperboard to the conveying belt can represent the size of the feedback tension of the paperboard. Therefore, the real-time tension can be calculated by combining the self-tension of the paperboard and the feedback tension represented by the conveying belt deformation variable.

[0059] In an embodiment, the computing module is further configured to:

[0060] For a single edge region of the target paperboard, determine the height of the target position point on the edge region with the largest difference from the center height, and determine the edge deformation variable according to the absolute difference between the height of the target position point and the center height;

[0061] According to the average of the edge deformation variables of at least two edge regions of the target paperboard, the paperboard deformation variable is determined.

[0062] The edge region indicates the edge of the target paperboard. For example, the target paperboard is a square paperboard, and the edge region indicates the four edges of the target paperboard.

[0063] The greater the bending deformation of the target paperboard, the greater the tension generated by the target paperboard itself, and the more unstable the target paperboard. Therefore, for the target paperboard, there are:

[0064]

[0065] where Δh i is the paperboard deformation of the target paperboard at the i-th sampling time on the input conveying belt. h ci is the height value of the center position of the target paperboard at the i-th sampling time, that is, the center height, max(h si ) is the maximum offset height of the single edge region of the target paperboard at the i-th sampling time, which can be understood as the height of the target position point with the largest difference from the center height on the single edge region of the target paperboard. Therefore, h ci -max(h si ) indicates the edge deformation of the single edge region of the target paperboard at the i-th sampling time, indicates the average of the edge deformations of the at least two edge regions of the target paperboard at the i-th sampling time, and the greater the average, the greater the bending deformation of the paperboard, and the greater the tension of the paperboard at this time.

[0066] In an embodiment, the computing module is further configured to:

[0067] calculate the real-time tension of the target paperboard based on the product of the paperboard deformation of the target paperboard and the conveying belt deformation.

[0068] Since the bending deformation of the target paperboard is proportional to the generated tension, the real-time paperboard deformation can be used as its own tension. Then, the real-time feedback tension of the target paperboard is calculated. Since the target paperboard is conveyed, the feedback tension is generally generated by the conveying belt acting on the paperboard. Due to the reciprocity of force, the conveying belt deformation of the paperboard to the conveying belt can represent the size of the feedback tension of the paperboard. Therefore, the real-time tension can be calculated by combining the self-tension of the paperboard and the feedback tension represented by the conveying belt deformation.

[0069] Therefore, for the target paperboard at the i-th sampling time, the real-time tension can be represented as:

[0070] F si = Δh i × L i ;

[0071] where F si is the real-time tension of the target paperboard at the i-th sampling time on the input conveying belt. Δh i is the paperboard deformation of the target paperboard at the i-th sampling time, and L i is the conveying belt deformation of the target paperboard to the conveying belt (feedback tension) at the i-th sampling time. Therefore, Fsi The value corresponds to the real-time tension of the target cardboard at the corresponding moment. The greater the real-time tension, the more obvious the tension on the target cardboard, and the worse the stability of the target cardboard during transportation.

[0072] The first determining module 13 is configured to determine a reference conveying speed of the input conveyor belt corresponding to the target cardboard according to the real-time tension, the preset tension of the target cardboard, and the initial conveying speed of the input conveyor belt.

[0073] The preset tension of the target paperboard indicates a preferred tension value of the target paperboard at the initial conveying speed. At the preferred tension value, the target paperboard is less likely to slip, break or deform. The preferred tension value is obtained based on historical experimental data.

[0074] The calculation module calculates the real-time tension of the target cardboard before it is conveyed to the slotting unit. To maintain stable transport of the target cardboard on the input conveyor, the tension must be kept constant. This requires abandoning the fixed input conveyor speed and adjusting the real-time speed to stabilize tension fluctuations. Therefore, the first determination module calculates a baseline conveying speed for the target cardboard based on the real-time tension. If the tension on the input conveyor is excessive at a certain moment, slowing the speed of the input conveyor can reduce the stretch and pressure on the target cardboard, helping to prevent breakage and shape changes. If the tension is too low, increasing the speed of the input conveyor can help the target cardboard move stably through the production line, reducing the possibility of slippage and deviation.

[0075] The baseline conveyor belt speed corresponding to the target cardboard is determined based on the real-time tension, the preset tension of the target cardboard, and the initial conveyor belt speed. The preset tension of the target cardboard determines the optimal tension value for the target cardboard at the initial conveyor belt speed to prevent slippage, damage, or deformation. Comparing the real-time tension with the preset tension determines whether the real-time tension is excessive or insufficient. The baseline conveyor belt speed is then adjusted based on the real-time tension. The baseline conveyor speed indicates the conveyor belt speed that minimizes slippage, damage, or deformation of the target cardboard at the current moment.

[0076] Therefore, in one embodiment, the first determining module is further configured to:

[0077] Based on the product of the tension ratio and the initial conveying speed, a reference conveying speed corresponding to the target paperboard is determined, where the tension ratio indicates the ratio of the real-time tension to the preset tension.

[0078] For the target cardboard on the input conveyor, the reference conveying speed is:

[0079]

[0080] wherein, v i is the reference conveying speed of the target paperboard at time i on the input conveying belt. F si is the real-time tension of the target paperboard at time i, F s0 is the preferred tension value of the paperboard corresponding to the target paperboard at the initial conveying speed of the conveying belt. The greater the real-time tension at time i relative to the preferred tension, that is less than 1, the reference conveying speed should be appropriately reduced, and vice versa.

[0081] By comparing the real-time tension with the preset tension, the risk of relative sliding of the paperboard and the conveying belt caused by excessively high tension is accurately identified, and the reference conveying speed is immediately reduced to keep the paperboard and the belt surface in synchronization, thereby significantly reducing the sliding phenomenon. When the real-time tension exceeds the preset tension, the system actively slows down to avoid tearing or edge damage of the paperboard due to excessive stretching; otherwise, when the tension is too low, the speed is appropriately increased to prevent indentation damage caused by paperboard relaxation and folding, and the overall damage rate is reduced.

[0082] The second determination module 14 is configured to determine a target conveying speed of the input conveying belt according to the real-time tension of a plurality of target paperboards on the input conveying belt, the reference conveying speeds corresponding to the plurality of target paperboards respectively, and position data of the plurality of target paperboards.

[0083] The position data is obtained according to the distance measuring sensor.

[0084] Since the conveying speed of the fixed conveying belt cannot cope with the tension change of the paperboard, the present application calculates the real-time tension of the target paperboard on the conveying belt based on the paperboard deformation of the target paperboard and the conveying belt deformation of the input conveying belt, and then determines the reference conveying speed of the input conveying belt corresponding to the target paperboard according to the real-time tension, the preset tension of the target paperboard, and the initial conveying speed of the input conveying belt. Since the conveying of the corrugated paperboard by the input conveying belt is a dynamic and progressive process, in actual situations, there are generally a plurality of target paperboards on the input conveying belt being conveyed in turn, and the real-time tension of each target paperboard at the corresponding sampling time may differ. The first determination module determines the reference conveying speed corresponding to each target paperboard, and if the input conveying belt only operates according to the reference conveying speed of a certain target paperboard, the tension change of other target paperboards cannot be balanced, and thus the purpose of improving the conveying stability of the paperboard cannot be achieved. Therefore, in order to take into account the tension change of all the conveyed paperboards, the real-time tension of each paperboard needs to be considered to determine the target conveying speed of the input conveying belt. The target conveying speed of the conveying belt is determined according to the real-time tension of a plurality of target paperboards on the input conveying belt, the reference conveying speeds corresponding to the plurality of target paperboards respectively, and the position data of the plurality of target paperboards.

[0085] In one embodiment, the second determination module is further configured to:

[0086] The position weight is calculated according to a ratio of the interval distance between the target paperboard and the slotting component and a residence time of the target paperboard on the input conveying belt; the slotting component is connected with the input conveying belt, and the position data comprises the interval distance between the target paperboard and the slotting component;

[0087] The speed weight is determined based on a product of the tension dispersion degree of the target paperboard and the position weight; the tension dispersion degree is obtained according to real-time tensions of the target paperboard at different times.

[0088] At any moment of the operation of the slotting machine, if there are multiple target paperboards on the input conveying belt and the real-time tensions of each target paperboard are different, but due to different positions of the target paperboards on the input conveying belt and different tension changes, if the comprehensive optimal speed of the conveying belt can take into account all the paperboards, the corresponding speed weight needs to be calculated based on different paperboards.

[0089] For a certain target paperboard on the conveying belt, the greater the real-time tension change of the target paperboard in the conveying process is, the more unstable the target paperboard is, and the greater the corresponding weight is. At the same moment, a certain target paperboard can be about to be conveyed out of the input conveying belt into the slotting component, and some target paperboards can just enter the input conveying belt. It is not necessary to adapt the conveying speed to the tension change of the target paperboard about to enter the slotting component, while it is the opposite for the target paperboard just entering the input conveying belt. Therefore, the position weight can be calculated according to a ratio of the interval distance between the target paperboard and the slotting component and a residence time of the target paperboard on the input conveying belt, and then the speed weight is determined based on a product of the tension dispersion degree of the target paperboard and the position weight, the tension dispersion degree indicating a difference of real-time tensions of the target paperboard at different times.

[0090] In an embodiment, the tension dispersion degree is obtained according to a difference value of real-time tensions of the target paperboard at adjacent two times.

[0091] The tension dispersion degree indicates a difference of real-time tensions of the target paperboard at different times. Understandably, the tension dispersion degree is obtained according to a difference value of real-time tensions of the target paperboard at adjacent two times. The difference value of real-time tensions of the two adjacent times can determine the difference of real-time tensions of the target paperboard at the two adjacent times. The tension constant control ensures that the target paperboard remains flat during the whole conveying process and does not warp, bulge or crease due to sudden tension change, and the geometric precision and appearance quality of the finished product are effectively guaranteed.

[0092] In an embodiment, the second determining module is further configured to:

[0093] In response to the residence time of the target paperboard on the input conveying belt being less than that of other paperboards, it is determined that the position weight of the target paperboard is greater than that of the other paperboards.

[0094] At the same time, the paperboard which is about to leave the input conveying belt and enter the slotting component has a position weight close to zero, and the system no longer compensates the tension-speed for it. The paperboard which is just on the input conveying belt and far from the slotting component has a linearly enlarged position weight with the staying time, and the greater the weight is, the greater the system adjusts the conveying speed of it to eliminate the subsequent tension fluctuation in advance.

[0095] In one embodiment, the second determining module is further configured to:

[0096] In response to the distance between the target paperboard and the slotting component being less than that of other paperboards, the position weight of the target paperboard is determined to be less than that of other paperboards.

[0097] At the same time, the paperboard which is about to leave the input conveying belt and enter the slotting component has a position weight close to zero, and the system no longer compensates the tension-speed for it. The paperboard which is just on the input conveying belt and far from the slotting component has a linearly enlarged position weight with the staying time, and the greater the weight is, the greater the system adjusts the conveying speed of it to eliminate the subsequent tension fluctuation in advance.

[0098] For a target paperboard on the conveying belt, the greater the real-time tension change in the conveying process is, the more unstable the target paperboard is, and the greater the weight corresponding to the target conveying speed is.

[0099]

[0100] wherein G is the tension dispersion degree of a target paperboard. F si and F si-1 are the real-time tensions of a target paperboard at any two adjacent time points on the input conveying belt, and x is the current sampling time point. Therefore, the greater the value of G is, the more complex and unstable the tension change of the target paperboard from entering the input conveying belt to the i sampling time point is.

[0101] The second determining module calculates the tension dispersion degree of each target paperboard on the conveying belt at a certain sampling time point. The greater the tension dispersion degree of a certain paperboard is relative to other paperboards, the more likely the paperboard is to be offset and damaged, and the greater the corresponding speed weight is.

[0102] At the same time, the paperboard which is about to leave the input conveying belt and enter the slotting component has a position weight close to zero, and the system no longer compensates the tension-speed for it. The paperboard which is just on the input conveying belt and far from the slotting component has a linearly enlarged position weight with the staying time, and the greater the weight is, the greater the system adjusts the conveying speed of it to eliminate the subsequent tension fluctuation in advance.

[0103] Therefore, the speed weight of a target paperboard at time x can be represented as:

[0104]

[0105] wherein γ x represents the speed weight of a target paperboard at time x. x is the interval distance of the target paperboard from the slot component at time x, t x is the residence time of the target paperboard on the input conveyor belt as of time x, and G is the tension dispersion degree of the target paperboard.

[0106] Therefore, the position weight of the target paperboard on the conveyor belt is represented as: The greater the position weight, the more likely the target paperboard has just entered the input conveyor belt, and the greater the corresponding speed weight, in combination with the tension dispersion degree of the target paperboard, that is, the greater the need for the target conveying speed of the input conveyor belt to adapt to the tension change.

[0107] In an embodiment, the second determining module is further configured to:

[0108] obtain the target conveying speed according to the sum of the products of the reference conveying speeds of the target paperboards and the weight proportions thereof, and determine the weight proportions according to the speed weights of the target paperboards at the target time.

[0109] The speed weight of each target paperboard at any sampling time is calculated by the second determining module, and the conveying speed of the input conveyor belt at this time needs to be comprehensively determined in combination with all the paperboards on the input conveyor belt: the greater the speed weight of a target paperboard at the corresponding time, the more the conveying speed of the conveyor belt should be as close as possible to the reference conveying speed of the target paperboard, and vice versa. Therefore, for a sampling time, the target conveying speed of the conveyor belt can be represented as:

[0110]

[0111] wherein, indicates the sum of the speed weights of the 1st to nth target paperboards at time x, n is the number of target paperboards on the input conveyor belt at time x, and can be understood as the number of all paperboards on the input conveyor belt, is the speed weight of the kth target paperboard at time x, V x is the target conveying speed of the conveyor belt at the current time x. is the weight proportion of the ath target paperboard at time x, is the reference conveying speed of the ath target paperboard at time x. is the speed weight of the ath paperboard at time x.

[0112] Therefore, the position weight of the target paperboard on the conveyor belt is represented as: The weight ratio of a certain target paperboard at time x represents the degree of deviation of the target conveying speed, and the greater the ratio, the greater the deviation of the target conveying speed. The reference conveying speed of each target paperboard is weighted and summed according to the weight ratio of each target paperboard, that is Thus, the real-time comprehensive target conveying speed is obtained by combining the tension of different paperboards.

[0113] Based on the paperboard deformation of the target paperboard and the deformation of the conveying belt, the real-time tension of the target paperboard on the input conveying belt is calculated, and the real-time tension of the target paperboard on the input conveying belt and the reference conveying speed are determined. The input conveying belt is controlled to run based on the target conveying speed by the intelligent control system, so as to minimize the loss of paperboard. The problem that different types of corrugated paperboard cannot maintain constant tension at a fixed conveying speed, resulting in deformation of the paperboard, is optimized, thereby maximizing the yield of paperboard cutting and the running stability of the slotting machine.

[0114] The control module 15 is used to control the input conveying belt to run based on the target conveying speed.

[0115] The conveying speed of the input conveying belt is consistent with the conveying speed of the output conveying belt. Understandably, the conveying belt is controlled to run based on the target conveying speed, that is, the target conveying speed is used as the conveying speed of the input conveying belt.

[0116] By dynamically adjusting the conveying speed of the input conveying belt of the slotting machine through the control module, the running stability can be improved as much as possible, and the damage rate of the paperboard can be reduced. The on-site slotting machine equipment can be connected to the cloud platform or the MES system (Manufacturing Execution System), and the target conveying speed of the conveying belt is determined by the edge computing terminal in the intelligent control system based on the second determination module, and the central control unit controls the conveying belt rollers to execute according to the requirements, so as to achieve fast and accurate adjustment, and ensure the stability of the production line.

[0117] For the system embodiment, since it basically corresponds to the method embodiment, the relevant part is described in the method embodiment. The system embodiment described above is only illustrative, and the units described as separate components can or can not be physically separated, and the components of the unit can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. According to actual needs, some or all of the modules can be selected to achieve the purpose of the present application.

[0118] Corresponding to the above high-speed corrugated paperboard slotting machine, the intelligent control system of the high-speed corrugated paperboard slotting machine is as follows: Figure 3As shown, the application also provides an intelligent control method for a high-speed corrugated board slotting machine, comprising:

[0119] S11, height data of different positions of a target paperboard on an input conveyor belt, and conveyor belt deformation of the input conveyor belt are acquired;

[0120] S12, real-time tension of the target paperboard is calculated based on paperboard deformation of the target paperboard and conveyor belt deformation of the input conveyor belt; The paperboard deformation is determined according to the difference between the center height of the target paperboard and the height of each position point on the edge of the target paperboard; The height data includes the center height and the height of each position point on the edge of the target paperboard;

[0121] S13, a reference conveying speed of the input conveyor belt corresponding to the target paperboard is determined according to the real-time tension, the preset tension of the target paperboard and the initial conveying speed of the input conveyor belt;

[0122] S14, a target conveying speed of the input conveyor belt is determined according to the real-time tension of a plurality of target paperboards on the input conveyor belt, the reference conveying speed corresponding to the plurality of target paperboards respectively, and position data of the plurality of target paperboards;

[0123] S15, the input conveyor belt is controlled to run based on the target conveying speed.

[0124] The high-speed corrugated board slotting machine intelligent control method provided by the above embodiment belongs to the same concept as the high-speed corrugated board slotting machine intelligent control system embodiment, and the specific implementation process is detailed in the system embodiment, which will not be repeated here.

[0125] Figure 4 A structural schematic diagram of an electronic device is shown for an example embodiment of the application, which includes a memory, a processor, and a computer program stored on the memory and used to run on the processor, and the processor implements the method described in any of the above embodiments when executing the computer program. Figure 4 The electronic device 40 shown is only an example and should not limit the functions and use range of the embodiments of the application.

[0126] As Figure 4 shown, the electronic device 40 can be in the form of a general computing device, for example, it can be a server device. The components of the electronic device 40 can include but are not limited to the above-mentioned at least one processor 41, the above-mentioned at least one memory 42, and the bus 43 connecting different system components including the memory 42 and the processor 41.

[0127] The bus 43 includes a data bus, an address bus and a control bus.

[0128] The memory 42 can include volatile memory, such as random access memory (RAM) 421 and / or cache memory 422, and / or non-volatile memory, such as read only memory (ROM) 423.

[0129] The memory 42 can also include a program tool 425 (or utility tool) having a set (at least one) program modules 424, such as an operating system, one or more application programs, other program modules, and program data, and each of these examples, or some combination thereof, can include implementation of a network environment.

[0130] The processor 41 performs various function applications and data processing by running the computer programs stored in the memory 42, such as the method provided by any of the above embodiments.

[0131] The electronic device 40 can also communicate with one or more external devices 44, such as a keyboard or a pointing device, via an input / output (I / O) interface 45. Further, the electronic device 40 can communicate with one or more networks, such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet, via a network adapter 46. As depicted, the network adapter 46 communicates with the other modules of the electronic device 40 via the bus 43. It should be appreciated that other hardware and / or software modules can be used in conjunction with the electronic device 40, such as a microcode, a device driver, a redundant processor, an external disk drive array, a RAID (Redundant Array of Independent Disks) system, a tape drive, and a data backup storage system, etc., although not shown in the figure.

[0132] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, such division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules for embodiment.

[0133] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the method provided by any of the above embodiments.

[0134] More specifically, the computer readable storage medium can include, but is not limited to, a portable disc, a hard disk, a random access memory, a read only memory, an erasable programmable read only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0135] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, storage, database, or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0136] The embodiments of the present application also provide a computer program product comprising a computer program, which, when executed by a processor, implements the method of any one of the above.

[0137] The program code of the computer program product for executing the present application can be written in any combination of one or more programming languages, and can be executed completely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or completely on a remote device.

[0138] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0139] The above embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the application. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application.

[0140] The various embodiments described in this specification are presented by way of example, and each embodiment is not inherently more important than any other embodiment.

Claims

1. An IoT intelligent control system for a high-speed corrugated cardboard slotting machine, characterized in that: The IoT intelligent control system includes: an acquisition module, configured to acquire height data of target cardboard at different positions on an input conveyor belt and a conveyor belt deformation of the input conveyor belt; a calculation module, configured to calculate the real-time tension of the target paperboard based on the paperboard deformation of the target paperboard and the deformation of the conveyor belt; wherein the paperboard deformation is determined according to the difference between the center height of the target paperboard and the height of each position point on the edge of the target paperboard; the height data includes the center height and the height of each position point on the edge of the target paperboard; a first determining module, configured to determine a reference conveying speed of the input conveyor belt corresponding to the target paperboard according to the real-time tension, the preset tension of the target paperboard, and the initial conveying speed of the input conveyor belt; a second determining module, configured to determine a target conveying speed of the input conveyor belt according to real-time tensions of the plurality of target paperboards on the input conveyor belt, reference conveying speeds corresponding to the plurality of target paperboards, and position data of the plurality of target paperboards; A control module is configured to control the operation of the input conveyor belt based on the target conveying speed.

2. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 1, characterized in that: The calculation module is also used for: For a single edge region of the target paperboard, determining the height of a target position point on the edge region having the largest difference from the center height, and determining the edge deformation amount based on the absolute difference between the height of the target position point and the center height; The paperboard deformation amount is determined according to an average value of edge deformation amounts of at least two edge regions of the target paperboard.

3. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 1, characterized in that: The calculation module is also used for: The real-time tension of the target paperboard is calculated based on the product of the paperboard deformation of the target paperboard and the deformation of the conveyor belt.

4. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 1, characterized in that: The first determining module is further configured to: A reference conveying speed corresponding to the target paperboard is determined based on a product of a tension ratio value and the initial conveying speed, wherein the tension ratio value indicates a ratio of the real-time tension to the preset tension.

5. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 4, characterized in that: The second determining module is further configured to: Calculating a position weight based on a ratio of a distance between the target paperboard and the slotting component and a residence time of the target paperboard on the input conveyor; the slotting component is connected to the input conveyor, and the position data includes the distance between the target paperboard and the slotting component; The speed weight is determined based on the product of the tension dispersion of the target paperboard and the position weight; the tension dispersion is obtained according to the real-time tension of the target paperboard at different moments.

6. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 5, characterized in that: The second determining module is further configured to: The target conveying speed is obtained according to the sum of the products of the reference conveying speeds of multiple target cardboards and their weight proportions; the weight proportion is determined according to the speed weight of the target cardboard at the target time.

7. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 5, characterized in that: The tension dispersion is obtained according to the difference between the real-time tensions of the target paperboard at two adjacent moments.

8. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 5, characterized in that: The second determining module is further configured to: In response to the target cardboard having a shorter stay time on the input conveyor belt than other cardboards, it is determined that the position weight of the target cardboard is greater than that of other cardboards.

9. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 5, characterized in that: The second determining module is further configured to: In response to the distance between the target cardboard and the slotting component being smaller than that between other cardboards, it is determined that the position weight of the target cardboard is smaller than that of other cardboards.

10. The IoT intelligent control system for a high-speed corrugated cardboard slotting machine according to claim 1, characterized in that: The IoT intelligent control system also includes an early warning module for: In response to the cardboard deformation being greater than a preset deformation, it is determined to issue an early warning.

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