CN115610010A - Intelligent selection method for production process of corrugated carton package - Google Patents
Intelligent selection method for production process of corrugated carton package Download PDFInfo
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- CN115610010A CN115610010A CN202211294174.4A CN202211294174A CN115610010A CN 115610010 A CN115610010 A CN 115610010A CN 202211294174 A CN202211294174 A CN 202211294174A CN 115610010 A CN115610010 A CN 115610010A
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- corrugated
- corrugated case
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B31—MAKING ARTICLES OF PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER; WORKING PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER
- B31B—MAKING CONTAINERS OF PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER
- B31B50/00—Making rigid or semi-rigid containers, e.g. boxes or cartons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B31—MAKING ARTICLES OF PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER; WORKING PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER
- B31B—MAKING CONTAINERS OF PAPER, CARDBOARD OR MATERIAL WORKED IN A MANNER ANALOGOUS TO PAPER
- B31B50/00—Making rigid or semi-rigid containers, e.g. boxes or cartons
- B31B50/006—Controlling; Regulating; Measuring; Improving safety
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Abstract
The invention discloses an intelligent selection method for a production process of corrugated case packaging, wherein the method comprises the following steps: acquiring grid data of a three-dimensional space of a target corrugated case, wherein the grid data is a carrier of the space data of the three-dimensional space of the target corrugated case; extending the grid data along a preset direction to obtain a spatial grid set consisting of N grid data in the preset direction; constructing a corrugated box data model based on each grid data; grid data of the compressive resistance of the target corrugated case is obtained, and grid data of the safety coefficient of the target corrugated case is obtained; and then the base paper is selected to form according to the burst strength and the compressive strength required by the use, so that the base paper is selected in a targeted manner, the success rate is improved, the carton process is selected in a targeted manner in a personalized manner, the carton is more accurate and professional, the application effect of carton packaging is improved, and the technical effect of product quality is ensured.
Description
Technical Field
The invention relates to the field of packaging processes, in particular to an intelligent selection method for a production process of corrugated carton packages.
Background
The corrugated paper board is made into corrugated paper boxes through die cutting, impressing, nailing or box bonding. The corrugated case is a packaging product with the widest application, and the dosage of the corrugated case is always the first of various packaging products, including the calcium plastic corrugated case. For more than half a century, corrugated cases gradually replaced transport packaging containers such as wooden boxes and the like with excellent service performance and good processing performance, and become the leading force of transport packaging. It not only protects the goods, is convenient for storage and transportation, but also beautifies the goods and publicizes the goods. The corrugated case belongs to green environmental protection products, and is beneficial to environmental protection and loading, unloading and transportation.
Corrugated containers are generally used as packaging, and patterns and characters, such as LOGO of enterprises, product graphics, speaker photos, advertisements, etc., are printed on the surface of the corrugated containers, so as to enhance the appearance and expand the propaganda function. The printing modes commonly used for the corrugated paper at present mainly comprise flexographic printing, indirect offset printing, direct offset printing, silk screen printing and gravure printing, and each printing mode has advantages and disadvantages.
The corrugated carton packing box firstly meets the requirements of burst strength, compressive strength and the like in the storage and transportation process. The method mainly researches a method for determining material selection and paper matching of the packing box paperboard by calculating the bursting strength and the compressive strength of the corrugated case under the condition of the parameters of the corrugated case with the known comprehensive size of the packing box with the quality of the contents, such as the corrugated shape and the like.
Disclosure of Invention
The invention discloses a method for intelligently selecting a production process of corrugated case packaging, which can be used for determining the selection of materials of the corrugated case board of a packaging case by calculating the bursting strength and the compressive strength of the corrugated case under the condition of parameters such as the ridge shape of the corrugated case board of the comprehensive size and the like.
In a first aspect: in order to achieve the purpose, the invention discloses the following technical scheme:
an intelligent selection method for a production process of corrugated carton packages comprises the following steps:
obtaining grid data of a three-dimensional space of a target corrugated case, wherein the grid data is a carrier of the space data of the three-dimensional space of the target corrugated case;
extending the grid data along a preset direction to obtain a spatial grid set consisting of N grid data in the preset direction; n is larger than or equal to 1, and a corrugated case data model is constructed based on the grid data;
acquiring grid data of the compressive resistance of a target corrugated case, acquiring grid data of the safety coefficient of the target corrugated case, and generating a process selection model library based on the compressive resistance and the safety coefficient generator to obtain a database set consisting of N process selection model libraries;
and selecting a production process for packaging the database set according to the space grid set formed by the grid data to obtain the corrugated case packaging production process.
Preferably: and filtering the corrugated case data parameters by a space grid set consisting of the grid data, and constructing a corrugated case package manufacturing size formula: y = (a +2 b) -k, where a is the corrugated box package size information, b is the corrugated box board thickness, and k is the corrugated box package manufacturing factor.
Preferably: and calculating the size parameters of the corrugated box by the constructed corrugated box, wherein the size parameters of the corrugated box comprise the external size of the corrugated box, the manufacturing size of the corrugated box and the internal size of the corrugated box.
Preferably: the method comprises the steps of setting an original point of a coordinate system of a space as an initial position of a corrugated case data model, counting along a coordinate axis direction by taking the size of a space grid of the corrugated case data model as an interval, obtaining an X-axis direction index, a Y-axis direction index and a Z-axis direction index of the space of the corrugated case data model, and determining the X-axis direction index, the Y-axis direction index and the Z-axis direction index of the space of the corrugated case data model according to the X-axis direction index, the Y-axis direction index and the Z-axis direction index of the space of the corrugated case data model.
Preferably, the following components: the pressure resistance P (N) of the corrugated case is calculated by the following formula:
in the formula (2): k is a safety factor; m is the gross weight of the corrugated case, g is the acceleration of gravity, 9.8N/Kg, and H is the stacking height (M); h is the box height (m) of a corrugated box.
Preferably: the corrugated carton safety coefficient K is a calculated value obtained by the following formula:
in the formula (3), K is a safety coefficient; a is the pressure reduction resistance rate due to the stacking mode; b is the rate of resistance to pressure drop due to stacking time; c is the resistance to pressure drop due to ambient humidity; d is the reduction rate of the compressive resistance due to vibration impact and loading and unloading; e is the resistance to pressure drop due to printing of the box; f is the rate of resistance to pressure drop due to the aspect ratio of the carton.
Preferably: constructing a corrugated carton process selection model library; acquiring a pressure resistance and safety factor parameter information set according to the pressure resistance and safety factor information of the corrugated case package; and determining a corrugated case process selection model from the carton process selection model library according to the anti-pressure and safety factor parameter information set.
In a second aspect, embodiments of the present application provide an electronic device for intelligently selecting a production process of a corrugated carton package, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect or the first aspect when executing the computer program.
In a third aspect, the present application provides a computer readable storage medium, and the computer program when executed by a processor implements the steps of the method according to the first aspect or any one of the first aspects.
The beneficial effects disclosed by the invention are as follows: acquiring grid data of a three-dimensional space of a target corrugated case, wherein the grid data is a carrier of the space data of the three-dimensional space of the target corrugated case; extending the grid data along a preset direction to obtain a spatial grid set consisting of N grid data in the preset direction; constructing a corrugated carton data model based on each grid data; acquiring grid data of the pressure resistance of a target corrugated case, acquiring grid data of the safety coefficient of the target corrugated case, and generating a process selection model base based on the pressure resistance and the safety coefficient generator to obtain a database set consisting of N process selection model bases; and selecting a production process for packaging the database set according to the space grid set formed by the grid data to obtain the corrugated case packaging production process.
And then the base paper is selected to form according to the burst strength and the compressive strength required by the use, so that the base paper is selected in a targeted manner, the success rate is improved, the carton process is selected in a targeted manner in a personalized manner, the carton is more accurate and professional, the application effect of carton packaging is improved, and the technical effect of product quality is ensured.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a method for intelligently selecting a manufacturing process for corrugated carton packaging as disclosed herein
Fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the description of the embodiments of the present invention, it should be apparent to those skilled in the art that the embodiments of the present invention can be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium include: a portable computer diskette, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, a flash memory, an optical fiber, a compact disc read-only memory, an optical storage device, a magnetic storage device, or any combination thereof. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
The method, the device and the electronic equipment are described through the flow chart and/or the block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for intelligently selecting a production process of a corrugated carton package according to an embodiment of the present application. In an embodiment of the present application, the method includes:
s100, grid data of a three-dimensional space of a target corrugated case are obtained, wherein the grid data are carriers of the space data of the three-dimensional space of the target corrugated case;
the execution main body of the application can be a processor of a computer terminal, and can be understood as a basic box type of a single corrugated paper box and a double corrugated paper box for transport packaging based on the national standard;
the bursting strength of the single corrugated board = the bursting strength of the face paper plus the bursting strength of the base paper;
the bursting strength of the double corrugated board = bursting strength of the face paper + bursting strength of the middle paper + bursting strength of the base paper; when the medium paper adopts corrugated medium paper, the bursting strength of the medium paper can be selected from the national standard according to the grade of the corrugated medium paper and then multiplied by a bursting index of 1.3 kPa.m 2 The equivalent calculation is carried out in terms of/g.
S101, extending the grid data along a preset direction to obtain a space grid set consisting of N grid data in the preset direction; n is more than or equal to 1, constructing a corrugated case data model based on the grid data, obtaining a plurality of corrugated case space models of the target corrugated case by constructing the corrugated case data model through the grid data and the like, and constructing a corrugated case design template according to the common parameter characteristics of the corrugated case space models;
s102, obtaining grid data of the compressive resistance of a target corrugated case, obtaining grid data of the safety coefficient of the target corrugated case, and generating a process selection model library based on the compressive resistance and the safety coefficient generator to obtain a database set consisting of N process selection model libraries;
the comprehensive ring crush strength of the base paper can be obtained by using a Kelicat formula when the base paper of the corrugated case is formed, and the compressive resistance of the corrugated case is obtained according to the length of the periphery of the corrugated case and the edge shape. The pressure resistance of the corrugated case and the raw paper composition of the corrugated case can be obtained when the total mass and the stacking layer number of the corrugated case are known.
If the safety factor is set too high, the cost is increased and uneconomical; however, if the safety factor is too low, the carton is easily crushed during storage and transportation, and the contents are easily broken.
The safety factor is determined to be proper or not, and can be verified through a packaging test or actual storage and transportation.
S103, selecting a production process for packaging the database set according to the space grid set formed by the grid data to obtain the corrugated case packaging production process.
The method has the advantages that the individual selection is carried out on the carton process in a targeted manner, the operation is more accurate and professional, the carton packaging application effect is improved, and therefore the quality of packaged products is guaranteed.
Referring to fig. 2, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 2, the electronic device 200 may include: a processor 201 and a memory 202.
The Memory 202 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 202 includes a non-transitory computer-readable medium. The memory 202 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 202 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described method embodiments, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 202 may optionally be at least one memory device located remotely from the aforementioned processor 201.
As shown in fig. 2, the memory 202, which is a type of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and program instructions.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the embodiments of the present invention, and should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. An intelligent selection method for a production process of corrugated carton packages is characterized by comprising the following steps:
obtaining grid data of a three-dimensional space of a target corrugated case, wherein the grid data is a carrier of the space data of the three-dimensional space of the target corrugated case;
extending the grid data along a preset direction to obtain a spatial grid set consisting of N grid data in the preset direction; wherein N is more than or equal to 1, constructing a corrugated case data model based on each grid data;
acquiring grid data of the compressive resistance of a target corrugated case, acquiring grid data of the safety coefficient of the target corrugated case, and generating a process selection model library based on the compressive resistance and the safety coefficient generator to obtain a database set consisting of N process selection model libraries;
and selecting a production process for packaging the database set according to the space grid set formed by the grid data to obtain the corrugated case packaging production process.
2. The method of claim 1, wherein: and filtering the data parameters of the corrugated case by a space grid set consisting of the grid data, and constructing a corrugated case package manufacturing size formula: y = (a +2 b) -k, where a is the dimension information of the corrugated box package, b is the thickness of the corrugated box board, and k is the manufacturing factor of the corrugated box package.
3. The method of claim 2, wherein: and calculating the size parameters of the corrugated box by the constructed corrugated box, wherein the size parameters of the corrugated box comprise the external size of the corrugated box, the manufacturing size of the corrugated box and the internal size of the corrugated box.
4. The method of claim 1, wherein: the method comprises the steps of setting an original point of a coordinate system of a space as an initial position of a corrugated case data model, counting along a coordinate axis direction by taking the size of a space grid of the corrugated case data model as an interval, obtaining an X-axis direction index, a Y-axis direction index and a Z-axis direction index of the corrugated case data model space, and determining the X-axis direction index, the Y-axis direction index and the Z-axis direction index of the corrugated case data model space according to the X-axis direction index, the Y-axis direction index and the Z-axis direction index of the corrugated case data model space.
5. The method of claim 1, wherein: the pressure resistance P (N) of the corrugated case is calculated by the following formula:
in the formula: k is a safety factor; m is the gross weight of the corrugated case, g is the acceleration of gravity, 9.8N/Kg, and H is the stacking height (M); h is the box height (m) of a corrugated box.
6. The method of claim 5, wherein: the corrugated carton safety coefficient K is a calculated value obtained by the following formula:
in the formula, K is a safety coefficient; a is the pressure reduction resistance rate due to the stacking mode; b is the rate of resistance to pressure drop due to stacking time; c is the resistance to pressure drop due to ambient humidity; d is the reduction rate of the compressive resistance due to vibration impact and loading and unloading; e is the resistance to pressure drop due to the printing of the box; f is the rate of resistance to pressure drop due to the aspect ratio of the carton.
7. The method of claim 1, wherein: constructing a corrugated carton process selection model library; acquiring a pressure resistance and safety factor parameter information set according to the pressure resistance and safety factor information of the corrugated case package; and determining a corrugated carton process selection model from the carton process selection model library according to the compressive resistance and safety factor parameter information set.
8. An electronic device for intelligent selection of a production process for corrugated carton packages, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method according to any one of claims 1 to 7 are carried out by the processor when the computer program is executed.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1-7.
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| CN202211294174.4A CN115610010A (en) | 2022-10-21 | 2022-10-21 | Intelligent selection method for production process of corrugated carton package |
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| CN202211294174.4A CN115610010A (en) | 2022-10-21 | 2022-10-21 | Intelligent selection method for production process of corrugated carton package |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116728887A (en) * | 2023-08-14 | 2023-09-12 | 苏州喜瑞整体包装科技有限公司 | Intelligent control system based on full-automatic carton gluer |
| CN117217028A (en) * | 2023-11-07 | 2023-12-12 | 国家超级计算天津中心 | Corrugated box design method, equipment and storage medium |
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2022
- 2022-10-21 CN CN202211294174.4A patent/CN115610010A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116728887A (en) * | 2023-08-14 | 2023-09-12 | 苏州喜瑞整体包装科技有限公司 | Intelligent control system based on full-automatic carton gluer |
| CN116728887B (en) * | 2023-08-14 | 2023-10-20 | 苏州喜瑞整体包装科技有限公司 | Intelligent control system based on full-automatic carton gluer |
| CN117217028A (en) * | 2023-11-07 | 2023-12-12 | 国家超级计算天津中心 | Corrugated box design method, equipment and storage medium |
| CN117217028B (en) * | 2023-11-07 | 2024-02-02 | 国家超级计算天津中心 | Corrugated box design method, equipment and storage medium |
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