CN113176769A - Corrugated paper process control optimization method and system based on application demand data model - Google Patents

Corrugated paper process control optimization method and system based on application demand data model Download PDF

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CN113176769A
CN113176769A CN202110722743.XA CN202110722743A CN113176769A CN 113176769 A CN113176769 A CN 113176769A CN 202110722743 A CN202110722743 A CN 202110722743A CN 113176769 A CN113176769 A CN 113176769A
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corrugated paper
performance
performance requirement
requirement
application
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CN113176769B (en
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詹凯
谢飞波
田凡
零萍
胡微华
朱民强
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Zhejiang Great Shengda Packing Co Ltd
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Zhejiang Great Shengda Packing Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention provides a corrugated paper process control optimization method and system based on a use requirement data model. According to the invention, the purpose description information of corrugated paper package is obtained through a production order interface, further based on a purpose demand data model, the analysis of the performance requirement of corrugated paper is realized according to the purpose description information, and according to the quantized analysis value of the performance requirement, the analysis value is mapped into a corrugated paper production process link and link parameters thereof, and the optimized control of the production of each process link of corrugated paper is carried out based on the link parameters.

Description

Corrugated paper process control optimization method and system based on application demand data model
Technical Field
The invention relates to the technical field of corrugated paper, in particular to a corrugated paper process control optimization method and system based on a use demand data model.
Background
The corrugated paper is an important packaging material, can be used as an outer packaging box, a lining, a bottom pad and the like, plays a role in buffering external force, avoiding abrasion and the like, and has wide application. Corrugated board has been used as a packaging material and has been required to have various properties such as firmness, weight, thickness, compression resistance, impact resistance, moisture absorption, and water resistance. These properties are inseparable from the process design and parameter selection at the corrugated paper production stage.
In the production stage, the process links and parameters related to the performance of the corrugated paper comprise the following aspects: (1) a base paper supply link, wherein the process parameters comprise base paper quality grade and water content; (2) a raw paper preheating link, wherein technological parameters comprise preheating time length and preheating temperature; (3) in the corrugation making step, the technological parameters comprise corrugation type and corrugation size parameters; (4) multiple preheating links, wherein the technological parameters comprise preheating time length and preheating temperature; (5) the process parameters comprise sizing amount, mucilage water content, hot pressing pressure and temperature, drying temperature and drying duration; (6) surface additional treatment, grooving, cutting and other post-treatment links, wherein the process parameters comprise surface pasting materials and grooving parameters.
In the prior art, the quantization requirements of the performance of the corrugated paper are generally determined according to a predicted fixed value or a predicted numerical range, and then parameters of each process link are determined. However, in practical applications, the performance requirements of the corrugated paper are mainly determined by the usage, and are closely related to external stress and environmental factors in the application process caused by the usage, including differences of factors such as load bearing, pressure bearing, external force extrusion and collision bearing, air humidity, temperature and the like in the practical application process, which cause the performance requirements of the applicable corrugated paper packaging material to be obviously changed.
Due to the wide applicability and the various use requirements of the corrugated paper, the setting of the performance of the corrugated paper in the prior art is often not completely matched with the use requirements, and further the parameters of the production process link of the corrugated paper cannot be adjusted adaptively.
Disclosure of Invention
In view of the above problems, the present invention provides a corrugated paper process control optimization method and system based on a usage demand data model. According to the invention, the purpose description information of corrugated paper package is obtained through a production order interface, further based on a purpose demand data model, the analysis of the performance requirement of corrugated paper is realized according to the purpose description information, and according to the quantized analysis value of the performance requirement, the analysis value is mapped into a corrugated paper production process link and link parameters thereof, and the optimized control of the production of each process link of corrugated paper is carried out based on the link parameters.
The invention provides a corrugated paper process control optimization method based on an application demand data model, which is characterized by comprising the following steps of:
obtaining the usage description information of the corrugated paper package through a production order interface;
based on the usage demand data model, the analysis of the performance requirement of the corrugated paper is realized according to the usage description information, and the accumulated influence degree of the usage demand on the performance requirement of the corrugated paper is obtained;
determining production performance parameters of each performance requirement by combining the accumulated influence degree on the basis of initial performance parameters according to the accumulated influence degree of each performance requirement;
after the production performance parameters of each performance requirement of the corrugated paper are determined, the production process links and the link parameters of the corrugated paper are determined according to the production performance parameters, and the optimized control of the production of each process link of the corrugated paper is carried out based on the link parameters.
Preferably, the usage description information has a plurality of usage reference dimensions, the usage reference dimensions including: the application type of corrugated paper package, the package bearing object information of corrugated paper package, and the logistics information of corrugated paper package.
Preferably, the usage requirement data model is represented as:
Figure 363765DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 227685DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 400040DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 617395DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 824386DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 609939DEST_PATH_IMAGE006
preferably, the influence degree is respectively influenced by each use reference dimension corresponding to the ith performance requirement
Figure 66328DEST_PATH_IMAGE004
And assigning, specifically comprising: according to a preset mapping rule, mapping the influence degree assignment of the reference dimension on the ith performance requirement according to each application; determining a relative comparison matrix of the influence values of the application reference dimensions aiming at the influence values of the application reference dimensions which have corresponding relation with the ith performance requirement; and calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
Preferably, the initial performance parameters of the corrugated board in terms of strength, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as
Figure 25057DEST_PATH_IMAGE007
Wherein
Figure 7925DEST_PATH_IMAGE008
Is the firstinitial performance parameters of i performance requirements, then the accumulated impact is combined according to the requirements for i performance
Figure 26697DEST_PATH_IMAGE002
The performance required production performance parameter is then expressed as
Figure 235961DEST_PATH_IMAGE009
. Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 998381DEST_PATH_IMAGE010
The invention also provides a corrugated paper process control optimization system based on the application demand data model, which comprises the following steps: the system comprises a production order interface, a use description information analysis module, a corrugated paper performance requirement analysis module, a production performance parameter setting module and a process link control interface;
the production order interface is connected with a corrugated paper packaging ordering party and used for obtaining an input order form from the ordering party;
the usage description information analysis module is used for obtaining usage description information of corrugated paper packaging through a production order interface;
the corrugated paper performance requirement analysis module is used for realizing analysis on the corrugated paper performance requirement according to the application description information based on the application requirement data model and obtaining the accumulated influence degree of the application requirement on the corrugated paper performance requirement;
the production performance parameter setting module is used for determining the production performance parameters of each performance requirement according to the accumulated influence degree of each performance requirement and by combining the accumulated influence degree on the basis of the initial performance parameters;
and the process link control interface is used for determining production performance parameters of each performance requirement of the corrugated paper, determining a corrugated paper production process link and link parameters thereof according to the production performance parameters, and performing optimized control on production of each process link of the corrugated paper based on the link parameters.
Preferably, the usage description information has a plurality of usage reference dimensions, the usage reference dimensions including: the application type of corrugated paper package, the package bearing object information of corrugated paper package, and the logistics information of corrugated paper package.
Preferably, the usage requirement data model is represented as:
Figure 852067DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 776161DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 472722DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 773253DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 996293DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 91288DEST_PATH_IMAGE006
preferably, the corrugated paper performance requirement analysis module respectively influences the degree of influence according to each application reference dimension corresponding to the ith performance requirement
Figure 275144DEST_PATH_IMAGE004
And assigning, specifically comprising: according to a preset mapping rule, mapping the influence degree assignment of the reference dimension on the ith performance requirement according to each application; aiming at the influence values of the use reference dimensions corresponding to the ith performance requirement, determining the relative ratio of the influence values of the use reference dimensionsComparing the matrix; and calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
Preferably, the initial performance parameters of the corrugated board in terms of strength, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as
Figure 379367DEST_PATH_IMAGE012
Wherein
Figure 942066DEST_PATH_IMAGE013
Is the initial performance parameter of the ith performance requirement, and the production performance parameter setting module combines the accumulated influence degree according to the ith performance requirement
Figure 473542DEST_PATH_IMAGE002
The performance required production performance parameter is then expressed as
Figure 879115DEST_PATH_IMAGE014
. Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 787028DEST_PATH_IMAGE015
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
according to the invention, the purpose description information of corrugated paper package is obtained through a production order interface, further based on a purpose demand data model, the analysis of the performance requirement of corrugated paper is realized according to the purpose description information, and according to the quantized analysis value of the performance requirement, the analysis value is mapped into a corrugated paper production process link and link parameters thereof, and the optimized control of the production of each process link of corrugated paper is carried out based on the link parameters.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a corrugated paper process control optimization method based on an application requirement data model according to an embodiment of the present invention;
fig. 2 is a flowchart of an impact assignment process in the application demand data model according to the embodiment of the present invention;
fig. 3 is a structural diagram of a corrugated paper process control optimization system based on an application requirement data model according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The invention provides a corrugated paper process control optimization method and system based on a use requirement data model. According to the invention, the purpose description information of corrugated paper package is obtained through a production order interface, further based on a purpose demand data model, the analysis of the performance requirement of corrugated paper is realized according to the purpose description information, and according to the influence degree of the performance requirement, the purpose description information is mapped into a corrugated paper production process link and link parameters thereof, and the optimized control of the production of each process link of corrugated paper is carried out based on the link parameters.
Referring to fig. 1, the corrugated paper process control optimization method based on the application requirement data model comprises the following steps.
And step S101, obtaining the usage description information of the corrugated paper package through a production order interface. The corrugated paper production system obtains an order form of corrugated paper packages from an ordering party and extracts usage description information of the corrugated paper packages from additional information recorded in the order form. The usage description information has a plurality of usage reference dimensions, specifically, the usage reference dimensions of the usage description information comprise usage types of corrugated paper packages, and the usage types comprise outer packaging boxes, inner liners and bottom cushions; the purpose reference dimension of the purpose description information also comprises packaging bearing object information packaged by corrugated paper, and the packaging bearing object information represents the weight of a bearing object and the external force buffering requirement to be met by protecting the bearing object; the usage reference dimension of the usage description information further comprises logistics information of corrugated paper packages, the pressure bearing requirement and the anti-collision requirement of the corrugated paper packages can be obtained based on the logistics information, and the air temperature and humidity environment in the corrugated paper transportation and storage process can also be obtained based on the logistics information.
And S102, analyzing the performance requirement of the corrugated paper according to the use description information based on the use requirement data model, and obtaining the accumulated influence degree of the use requirement on the performance requirement of the corrugated paper.
The performance requirements of corrugated paper include firmness, weight, thickness, crush resistance, impact resistance, moisture absorption, and water resistance. The application requirement data model expresses the accumulative influence degree of each application reference dimension on the performance requirement. The usage requirement data model is expressed as:
Figure 719081DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 421458DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 314328DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 432456DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 32065DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 967660DEST_PATH_IMAGE006
in this step, the respective usage reference dimensions according to the usage description information extracted in step S101 are used
Figure 285509DEST_PATH_IMAGE004
Influence degree in road demand data model
Figure 456596DEST_PATH_IMAGE004
Assigning; further, according to the influence degree and the weight coefficient after the assignment
Figure 176290DEST_PATH_IMAGE016
The accumulated influence degree of each application reference dimension of the application description information on each performance requirement can be calculated
Figure 282786DEST_PATH_IMAGE002
More specifically, the influence degree is respectively influenced by each use reference dimension corresponding to the ith performance requirement
Figure 87931DEST_PATH_IMAGE004
Assignment (where j =1 to
Figure 813442DEST_PATH_IMAGE003
) The specific process is shown in fig. 2.
And step S1021, according to a preset mapping rule, according to each application reference dimension, mapping the influence degree assignment of the application reference dimension on the ith performance requirement. A mapping rule table is preset, and is used for defining a use reference dimension corresponding to each performance requirement, namely 1 st to 1 st performance requirements
Figure 387643DEST_PATH_IMAGE003
Variety use reference dimension and influence value corresponding to dimension value of each use reference dimension
Figure 665040DEST_PATH_IMAGE004
(wherein j =1 to
Figure 691902DEST_PATH_IMAGE003
). For example, for the performance requirement of the corrugated paper thickness, by referring to the mapping rule table, according to the dimension value of the application type in the application reference dimension, the dimension value of the load bearing object weight and the external force cache requirement, the pressure bearing requirement and the dimension value of the anti-collision requirement, the corresponding influence value is obtained according to the dimension values respectively.
Step S1022, determining a relative comparison matrix of the influence values of the respective use reference dimensions with respect to the influence value of the use reference dimension having a correspondence with the ith performance requirement.
Wherein, the influence degree of each application reference dimension corresponding to the ith performance requirement
Figure 470371DEST_PATH_IMAGE017
Value is integrated as
Figure 899079DEST_PATH_IMAGE018
Degree of influence of dimension is referred to for each application
Figure 347377DEST_PATH_IMAGE017
Generating a relative comparison matrix A by pairwise comparison, wherein the phasesThe formula for the comparison matrix a is as follows:
Figure 127115DEST_PATH_IMAGE019
in the above-mentioned formula, the compound of formula,
Figure 194428DEST_PATH_IMAGE020
indicating degree of influence
Figure 477642DEST_PATH_IMAGE021
Relative degree of influence
Figure 362421DEST_PATH_IMAGE022
Has the following properties:
Figure 363875DEST_PATH_IMAGE023
and S1023, calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
The relative weight of the influence degree of the application reference dimension corresponding to the ith performance requirement is expressed by the following formula:
Figure 224427DEST_PATH_IMAGE024
wherein, the row vectors of the judgment matrix A are normalized, the average value is calculated, and the relative weight coefficient is generated
Figure 424464DEST_PATH_IMAGE025
The calculation formula is as follows:
Figure 417828DEST_PATH_IMAGE026
and S103, determining the production performance parameters of each performance requirement by combining the accumulated influence degree on the basis of the initial performance parameters according to the accumulated influence degree of each performance requirement.
In particular, as previously described, the cumulative impact is determined for each performance requirement, e.g., the ith performance requirement
Figure 844261DEST_PATH_IMAGE027
The initial performance parameters of the corrugated board in terms of strength, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as
Figure 315694DEST_PATH_IMAGE028
Wherein
Figure 635817DEST_PATH_IMAGE029
Is the initial performance parameter of the ith performance requirement, the accumulated influence degree is combined according to the ith performance requirement
Figure 800082DEST_PATH_IMAGE027
The performance required production performance parameter is then expressed as
Figure 697499DEST_PATH_IMAGE030
. Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 972623DEST_PATH_IMAGE031
And step S104, after the production performance parameters of each performance requirement of the corrugated paper are determined, the production process links and the link parameters of the corrugated paper are determined according to the production performance parameters, and the optimized control of the production of each process link of the corrugated paper is carried out based on the link parameters.
The invention presets L production process link parameter schemes aiming at the production of corrugated paper, and each of the L production process link parameter schemes comprises the related process link and link parameters thereof. And, each branch in the L production process link parameter schemesPerformance parameters respectively corresponding to the performance requirements of the corrugated paper; first, the
Figure 412831DEST_PATH_IMAGE032
The performance parameters of the corrugated paper corresponding to the parameter scheme of the production process link are expressed as
Figure 482419DEST_PATH_IMAGE033
Wherein
Figure 883444DEST_PATH_IMAGE034
. Production performance parameters according to various performance requirements of corrugated paper
Figure 696679DEST_PATH_IMAGE035
Corrugated paper performance parameters corresponding to each of the L production process link parameter schemes
Figure 991394DEST_PATH_IMAGE036
Selecting a production process link parameter scheme with the highest similarity from the similarity, debugging on the basis of the scheme to obtain link parameters of the corrugated paper production process link, and performing optimized control on production of each process link of the corrugated paper based on the link parameters.
Referring to fig. 3, the present invention further provides a corrugated paper process control optimization system based on an application requirement data model, including: the system comprises a production order interface, a use description information analysis module, a corrugated paper performance requirement analysis module, a production performance parameter setting module and a process link control interface. The above interfaces and modules of the system are communicated with each other through an internet of things.
The production order interface is connected with a corrugated paper packaging ordering party, and an input order form is obtained from the ordering party; the order form includes basic information relating to the order quantity of corrugated paper, the delivery time period, the price and additional information relating to the usage type of corrugated paper, the load bearing materials, the logistics and the like.
And the corrugated paper performance requirement analysis module is used for obtaining the usage description information of the corrugated paper package through the production order interface. Aiming at an order form of corrugated paper packages obtained from an ordering party, the corrugated paper performance requirement analysis module extracts the use description information of the corrugated paper packages from the additional information recorded in the order form. The usage description information has a plurality of usage reference dimensions, specifically, the usage reference dimensions of the usage description information comprise usage types of corrugated paper packages, and the usage types comprise outer packaging boxes, inner liners and bottom cushions; the purpose reference dimension of the purpose description information also comprises packaging bearing object information packaged by corrugated paper, and the packaging bearing object information represents the weight of a bearing object and the external force buffering requirement to be met by protecting the bearing object; the usage reference dimension of the usage description information further comprises logistics information of corrugated paper packages, the pressure bearing requirement and the anti-collision requirement of the corrugated paper packages can be obtained based on the logistics information, and the air temperature and humidity environment in the corrugated paper transportation and storage process can also be obtained based on the logistics information.
The corrugated paper performance requirement analysis module is used for realizing analysis of corrugated paper performance requirements according to the use description information based on the use requirement data model and obtaining the accumulated influence degree of the use requirements on the corrugated paper performance requirements.
The performance requirements of corrugated paper include firmness, weight, thickness, crush resistance, impact resistance, moisture absorption, and water resistance. The application requirement data model expresses the accumulative influence degree of each application reference dimension on the performance requirement. The usage requirement data model is expressed as:
Figure 231883DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 369472DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 986398DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 135620DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 812589DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 657048DEST_PATH_IMAGE006
the corrugated paper performance requirement analysis module is used for analyzing the influence degree in the application demand data model according to each application reference dimension of the extracted application description information
Figure 874403DEST_PATH_IMAGE004
Assigning; further, according to the influence degree after the assignment
Figure 81393DEST_PATH_IMAGE004
And weight coefficient
Figure 585056DEST_PATH_IMAGE016
The accumulated influence degree of each application reference dimension of the application description information on each performance requirement can be calculated
Figure 307024DEST_PATH_IMAGE002
More specifically, the corrugated paper performance requirement analysis module respectively influences the degree according to each application reference dimension corresponding to the ith performance requirement
Figure 265753DEST_PATH_IMAGE004
Assignment (where j =1 to
Figure 264933DEST_PATH_IMAGE037
) The specific process comprises the following steps:
according to a preset mapping rule, mapping the influence degree of each application reference dimension on the ith performance requirementAnd (7) assigning values. A mapping rule table is preset, and is used for defining a use reference dimension corresponding to each performance requirement, namely 1 st to 1 st performance requirements
Figure 283704DEST_PATH_IMAGE037
Variety use reference dimension and influence value corresponding to dimension value of each use reference dimension
Figure 492969DEST_PATH_IMAGE004
(wherein j =1 to
Figure 989809DEST_PATH_IMAGE037
). For example, for the performance requirement of the corrugated paper thickness, by referring to the mapping rule table, according to the dimension value of the application type in the application reference dimension, the dimension value of the load bearing object weight and the external force cache requirement, the pressure bearing requirement and the dimension value of the anti-collision requirement, the corresponding influence value is obtained according to the dimension values respectively.
And determining a relative comparison matrix of the influence values of the application reference dimensions aiming at the influence values of the application reference dimensions corresponding to the ith performance requirement.
Wherein, the influence degree of each application reference dimension corresponding to the ith performance requirement
Figure 827184DEST_PATH_IMAGE004
Value is integrated as
Figure 79174DEST_PATH_IMAGE038
Degree of influence of dimension is referred to for each application
Figure 713418DEST_PATH_IMAGE004
Generating a relative comparison matrix A through pairwise comparison, wherein the formula of the relative comparison matrix A is as follows:
Figure 951632DEST_PATH_IMAGE039
in the above-mentioned formula, the compound of formula,
Figure 722142DEST_PATH_IMAGE040
indicating degree of influence
Figure 145033DEST_PATH_IMAGE041
Relative degree of influence
Figure 266573DEST_PATH_IMAGE042
Has the following properties:
Figure 292166DEST_PATH_IMAGE043
and calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
The relative weight of the influence degree of the application reference dimension corresponding to the ith performance requirement is expressed by the following formula:
Figure 182762DEST_PATH_IMAGE044
wherein, the row vectors of the judgment matrix A are normalized, the average value is calculated, and the relative weight coefficient is generated
Figure 776554DEST_PATH_IMAGE045
The calculation formula is as follows:
Figure 119811DEST_PATH_IMAGE046
the production performance parameter setting module determines the production performance parameters of each performance requirement according to the accumulated influence degree of each performance requirement on the basis of the initial performance parameters and by combining the accumulated influence degree.
In particular, the method comprises the following steps of,as previously described, the accumulated impact is determined for each performance requirement, e.g., the ith performance requirement
Figure 965407DEST_PATH_IMAGE047
The initial performance parameters of the corrugated board in terms of strength, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as
Figure 710509DEST_PATH_IMAGE048
Wherein
Figure 209624DEST_PATH_IMAGE049
Is the initial performance parameter of the ith performance requirement, the accumulated influence degree is combined according to the ith performance requirement
Figure 227127DEST_PATH_IMAGE047
The performance required production performance parameter is then expressed as
Figure 407573DEST_PATH_IMAGE050
. Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 335078DEST_PATH_IMAGE051
And after the process link control interface determines the production performance parameters of each performance requirement of the corrugated paper, determining the production process link and the link parameters of the corrugated paper according to the production performance parameters, and performing the optimized control of the production of each process link of the corrugated paper based on the link parameters.
The invention presets L production process link parameter schemes aiming at the production of corrugated paper, and each of the L production process link parameter schemes comprises the related process link and link parameters thereof. Each of the L production process link parameter schemes respectively corresponds to the performance parameter required by the performance of each corrugated paper; first, the
Figure 208356DEST_PATH_IMAGE052
The performance parameters of the corrugated paper corresponding to the parameter scheme of the production process link are expressed as
Figure 463888DEST_PATH_IMAGE053
Wherein
Figure 448024DEST_PATH_IMAGE054
. The process link controls the production performance parameters of the interface according to the performance requirements of the corrugated paper
Figure 230035DEST_PATH_IMAGE055
Corrugated paper performance parameters corresponding to each of the L production process link parameter schemes
Figure 274215DEST_PATH_IMAGE056
Selecting a production process link parameter scheme with the highest similarity from the similarity, debugging on the basis of the scheme to obtain link parameters of the corrugated paper production process link, and performing optimized control on production of each process link of the corrugated paper based on the link parameters.
Therefore, the purpose description information of corrugated paper packaging is obtained through the production order interface, analysis on the performance requirement of the corrugated paper is realized according to the purpose description information based on the purpose requirement data model, the quantized analysis value of the performance requirement is mapped into a corrugated paper production process link and link parameters thereof, and the optimized control of the production of each process link of the corrugated paper is carried out based on the link parameters.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A corrugated paper process control optimization method based on an application demand data model is characterized by comprising the following steps:
obtaining the usage description information of the corrugated paper package through a production order interface;
based on the usage demand data model, the analysis of the performance requirement of the corrugated paper is realized according to the usage description information, and the accumulated influence degree of the usage demand on the performance requirement of the corrugated paper is obtained;
determining production performance parameters of each performance requirement by combining the accumulated influence degree on the basis of initial performance parameters according to the accumulated influence degree of each performance requirement;
after the production performance parameters of each performance requirement of the corrugated paper are determined, the production process links and the link parameters of the corrugated paper are determined according to the production performance parameters, and the optimized control of the production of each process link of the corrugated paper is carried out based on the link parameters.
2. The corrugated paper process control optimization method based on the application requirement data model as claimed in claim 1, wherein the application description information has a plurality of application reference dimensions, and the application reference dimensions include: the application type of corrugated paper package, the package bearing object information of corrugated paper package, and the logistics information of corrugated paper package.
3. The corrugated paper process control optimization method based on the application requirement data model as claimed in claim 2, wherein the application requirement data model is expressed as:
Figure 792385DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 116050DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 161367DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 822155DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 292320DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 380361DEST_PATH_IMAGE006
4. the corrugated paper process control optimization method based on the application requirement data model as claimed in claim 3, wherein the influence degree is respectively influenced by each application reference dimension corresponding to the ith performance requirement
Figure 912974DEST_PATH_IMAGE004
And assigning, specifically comprising: according to a preset mapping rule, mapping the influence degree assignment of the reference dimension on the ith performance requirement according to each application; determining a relative comparison matrix of the influence values of the application reference dimensions aiming at the influence values of the application reference dimensions which have corresponding relation with the ith performance requirement; and calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
5. The method for optimizing corrugated paper process control based on the application demand data model, as claimed in claim 1, wherein the initial performance parameters of the corrugated paper in terms of the performance requirements of firmness, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as
Figure 252820DEST_PATH_IMAGE007
Wherein
Figure 187277DEST_PATH_IMAGE008
Is the initial performance parameter of the ith performance requirement, the accumulated influence degree is combined according to the ith performance requirement
Figure 446221DEST_PATH_IMAGE009
The performance required production performance parameter is then expressed as
Figure 856342DEST_PATH_IMAGE010
Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 858933DEST_PATH_IMAGE011
6. A corrugated paper process control optimization system based on an application demand data model is characterized by comprising the following steps: the system comprises a production order interface, a use description information analysis module, a corrugated paper performance requirement analysis module, a production performance parameter setting module and a process link control interface;
the production order interface is connected with a corrugated paper packaging ordering party and used for obtaining an input order form from the ordering party;
the usage description information analysis module is used for obtaining usage description information of corrugated paper packaging through a production order interface;
the corrugated paper performance requirement analysis module is used for realizing analysis on the corrugated paper performance requirement according to the application description information based on the application requirement data model and obtaining the accumulated influence degree of the application requirement on the corrugated paper performance requirement;
the production performance parameter setting module is used for determining the production performance parameters of each performance requirement according to the accumulated influence degree of each performance requirement and by combining the accumulated influence degree on the basis of the initial performance parameters;
and the process link control interface is used for determining production performance parameters of each performance requirement of the corrugated paper, determining a corrugated paper production process link and link parameters thereof according to the production performance parameters, and performing optimized control on production of each process link of the corrugated paper based on the link parameters.
7. The corrugated paper process control optimization system based on the use requirement data model as claimed in claim 6, wherein the use description information has a plurality of use reference dimensions, the use reference dimensions comprising: the application type of corrugated paper package, the package bearing object information of corrugated paper package, and the logistics information of corrugated paper package.
8. The corrugated paper process control optimization system based on the use requirement data model as recited in claim 7, wherein the use requirement data model is expressed as:
Figure 647898DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 343321DEST_PATH_IMAGE002
the cumulative impact of the ith performance requirement,
Figure 725892DEST_PATH_IMAGE003
the total number of dimensions is referenced for purposes having correspondence with the ith performance requirement,
Figure 266595DEST_PATH_IMAGE004
the influence degree of the j application reference dimension corresponding to the i performance requirement on the i performance requirement is reduced,
Figure 175645DEST_PATH_IMAGE005
the relative weight coefficients of the influence of the dimension on the ith performance requirement are referenced for the jth use, and,
Figure 776391DEST_PATH_IMAGE006
9. the corrugated paper process control optimization system based on the application requirement data model as claimed in claim 8, wherein the corrugated paper performance requirement analysis module respectively influences the degree of influence according to each application reference dimension corresponding to the ith performance requirement
Figure 161105DEST_PATH_IMAGE004
And assigning, specifically comprising: according to a preset mapping rule, mapping the influence degree assignment of the reference dimension on the ith performance requirement according to each application; determining a relative comparison matrix of the influence values of the application reference dimensions aiming at the influence values of the application reference dimensions which have corresponding relation with the ith performance requirement; and calculating a relative weight coefficient of the influence degree of the application reference dimension corresponding to the ith performance requirement according to the relative comparison matrix, and generating a relative weight coefficient set based on the relative weight coefficient.
10. The corrugated paper process control optimization system based on the application requirement data model as claimed in claim 9, wherein the initial performance parameters of the corrugated paper in terms of firmness, weight, thickness, compression resistance, impact resistance, moisture absorption and water resistance are expressed as initial performance parameters of the corrugated paper
Figure 505498DEST_PATH_IMAGE012
Wherein
Figure 269055DEST_PATH_IMAGE013
Is the initial performance parameter of the ith performance requirement, and the production performance parameter setting module combines the accumulated influence degree according to the ith performance requirement
Figure 181647DEST_PATH_IMAGE014
The performance required production performance parameter is then expressed as
Figure 397865DEST_PATH_IMAGE015
Further, the production performance parameters for each performance requirement of the corrugated paper are expressed as
Figure 545949DEST_PATH_IMAGE016
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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101221437A (en) * 2008-01-24 2008-07-16 上海交通大学 Industrial production full process optimizing and controlling method in network information interchange mode
CN101246569A (en) * 2008-02-28 2008-08-20 江苏省电力试验研究院有限公司 Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm
CN101439811A (en) * 2008-12-15 2009-05-27 青岛美光机械有限公司 Paper storage roller transmission gear and control method
CN101937526A (en) * 2010-04-28 2011-01-05 重庆迈特科技有限责任公司 Method for configuring product multi-BOM tree based on base products
CN102284512A (en) * 2011-07-28 2011-12-21 郑州大学 Control method for manufacturing process of large deformation pipeline steel pipe
CN102663653A (en) * 2012-05-11 2012-09-12 河北省电力建设调整试验所 Risk assessment method for thermal pipeline system
CN102696854A (en) * 2012-04-25 2012-10-03 徐州澳凯小麦淀粉有限公司 Aftertreatment processing process for drying wheat gluten
CN102796467A (en) * 2011-05-25 2012-11-28 黄遂兢 Resource recovery-based automatic corrugated board glue making system
CN105688560A (en) * 2016-02-26 2016-06-22 侯英翔 Manufacturing method for improving coal economic value and using coal as dust reduction material
CN107767291A (en) * 2017-09-14 2018-03-06 首钢京唐钢铁联合有限责任公司 The method and system of the trade mark inside a kind of generation steel products
JP2019028949A (en) * 2017-08-03 2019-02-21 新日鐵住金株式会社 Product state prediction device and method, manufacturing process control system, and program
CN109758793A (en) * 2019-03-06 2019-05-17 南京瑞思化学技术有限公司 A kind of preparation method of mineral oil base Sudo controlling compositions
CN110110633A (en) * 2019-04-28 2019-08-09 华东交通大学 Method for automatically identifying and analyzing hemiplegic gait based on machine learning
CN111950069A (en) * 2020-08-31 2020-11-17 江苏工程职业技术学院 Bim-based building construction design method and device
CN112365384A (en) * 2021-01-14 2021-02-12 北京新唐思创教育科技有限公司 Target event result index weight, influence factor value determination method and related device

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101221437A (en) * 2008-01-24 2008-07-16 上海交通大学 Industrial production full process optimizing and controlling method in network information interchange mode
CN101246569A (en) * 2008-02-28 2008-08-20 江苏省电力试验研究院有限公司 Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm
CN101439811A (en) * 2008-12-15 2009-05-27 青岛美光机械有限公司 Paper storage roller transmission gear and control method
CN101937526A (en) * 2010-04-28 2011-01-05 重庆迈特科技有限责任公司 Method for configuring product multi-BOM tree based on base products
CN102796467A (en) * 2011-05-25 2012-11-28 黄遂兢 Resource recovery-based automatic corrugated board glue making system
CN102284512A (en) * 2011-07-28 2011-12-21 郑州大学 Control method for manufacturing process of large deformation pipeline steel pipe
CN102696854A (en) * 2012-04-25 2012-10-03 徐州澳凯小麦淀粉有限公司 Aftertreatment processing process for drying wheat gluten
CN102663653A (en) * 2012-05-11 2012-09-12 河北省电力建设调整试验所 Risk assessment method for thermal pipeline system
CN105688560A (en) * 2016-02-26 2016-06-22 侯英翔 Manufacturing method for improving coal economic value and using coal as dust reduction material
JP2019028949A (en) * 2017-08-03 2019-02-21 新日鐵住金株式会社 Product state prediction device and method, manufacturing process control system, and program
CN107767291A (en) * 2017-09-14 2018-03-06 首钢京唐钢铁联合有限责任公司 The method and system of the trade mark inside a kind of generation steel products
CN109758793A (en) * 2019-03-06 2019-05-17 南京瑞思化学技术有限公司 A kind of preparation method of mineral oil base Sudo controlling compositions
CN110110633A (en) * 2019-04-28 2019-08-09 华东交通大学 Method for automatically identifying and analyzing hemiplegic gait based on machine learning
CN111950069A (en) * 2020-08-31 2020-11-17 江苏工程职业技术学院 Bim-based building construction design method and device
CN112365384A (en) * 2021-01-14 2021-02-12 北京新唐思创教育科技有限公司 Target event result index weight, influence factor value determination method and related device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈光群: "瓦楞纸板生产线的技术改造和实践", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

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