CN112989264B - Internet of things system for corrugated paper product production line regulation and control and regulation and control method thereof - Google Patents

Internet of things system for corrugated paper product production line regulation and control and regulation and control method thereof Download PDF

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CN112989264B
CN112989264B CN202110499724.5A CN202110499724A CN112989264B CN 112989264 B CN112989264 B CN 112989264B CN 202110499724 A CN202110499724 A CN 202110499724A CN 112989264 B CN112989264 B CN 112989264B
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田亚利
零萍
詹凯
俞立建
王旭峰
彭军民
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Zhejiang Great Shengda Packing Co Ltd
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Abstract

The invention discloses an Internet of things system for corrugated paper product production line regulation and control and a regulation and control method thereof, wherein the system comprises the following steps: the system comprises a parameter acquisition module, a regulation and control scheme setting module and a production line regulation and control interface module; the parameter acquisition module is used for acquiring raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products; the regulation and control scheme setting module is connected with the parameter acquisition module and is used for determining regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set and generating an optimal regulation and control scheme based on the regulation parameters; the production line regulation and control interface module is connected with the regulation and control scheme setting module and corrugated paper production equipment and used for sending the optimal regulation and control scheme to the corrugated paper production equipment by utilizing the Internet of things. The system accurately regulates and controls the relevant parameters of the corrugated paper product production line.

Description

Internet of things system for corrugated paper product production line regulation and control and regulation and control method thereof
Technical Field
The invention relates to the technical field of corrugated paper, in particular to an Internet of things system for regulating and controlling a corrugated paper product production line and a regulating and controlling method thereof.
Background
At present, relevant parameters of the production link of the corrugated paper product production line, such as stock of raw paper and paper pulp, order information, production time limit, cost and the like, have important influence on the performance of the final corrugated paper product. In the product design stage, expected data of factors such as load bearing, pressure bearing, external force extrusion and collision bearing, air humidity, temperature and the like of the corrugated paper product in the practical application process are often collected and analyzed, experiments are carried out, and further, the corrugated paper product produced can be ensured to be suitable for specific application through preset process parameters.
In the prior art, if the process parameters preset in the corrugated paper product design stage are adopted, the corrugated paper can be ensured to meet the quality inspection standard of the product when being off-line, but in the order obtained in the actual corrugated paper production plant, due to the reasons of production time limit, total cost control and the like, the production is difficult to be always implemented according to the process parameters preset in the product design stage, a plurality of parameters in the production link need to be adjusted, and generally, conditions and time do not exist for carrying out data analysis and experiments again for each batch of corrugated paper products after the process parameters are adjusted, so that the related parameters of the corrugated paper product production line cannot be accurately adjusted and controlled, and the quality of the corrugated paper products is ensured.
Therefore, how to accurately regulate and control the relevant parameters of the corrugated paper product production line is a problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above problems, an embodiment of the present invention provides an internet of things system for corrugated paper product production line regulation, including: the system comprises a parameter acquisition module, a regulation and control scheme setting module and a production line regulation and control interface module;
the parameter acquisition module is used for acquiring raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products;
the regulation and control scheme setting module is connected with the parameter acquisition module and is used for determining regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set and generating an optimal regulation and control scheme based on the regulation parameters;
the production line regulation and control interface module is connected with the regulation and control scheme setting module and corrugated paper production equipment and used for sending the optimal regulation and control scheme to the corrugated paper production equipment by utilizing the Internet of things.
In one embodiment, the parameter obtaining module includes: the system comprises a supply chain allocation unit, an order product parameter analysis unit and a production management parameter analysis unit;
the supply chain allocation unit is used for extracting raw material supply allocation parameters in a raw material supply chain link of the corrugated paper;
the order product parameter analysis unit is used for collecting a corrugated paper production order in a product order link and extracting the actual application demand parameter and the personalized customization parameter based on the corrugated paper production order;
the production management parameter analysis unit is used for extracting the production management parameters from a production management link.
In one embodiment, the regulatory protocol setting module comprises: the device comprises an adjustment parameter determining unit, an initial evaluation matrix constructing unit, a correlation coefficient calculating unit, a comprehensive evaluation value generating unit and a sequencing unit;
the adjusting parameter determining unit is used for determining adjusting parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters;
the initial evaluation matrix construction unit is connected with the adjustment parameter determination unit and is used for constructing an initial evaluation matrix based on the preset process parameter set and the adjustment parameter, normalizing the initial evaluation matrix and generating normalized process parameters and optimal process parameters;
the correlation coefficient calculation unit is connected with the initial evaluation matrix construction unit and used for calculating a correlation coefficient according to the normalized process parameters and the optimal process parameters;
the comprehensive evaluation value generating unit is connected with the correlation coefficient calculating unit and used for determining an evaluation weight vector based on the correlation coefficient and generating a comprehensive evaluation value according to the evaluation weight vector;
the sorting unit is connected with the comprehensive evaluation value generating unit and used for sorting the comprehensive evaluation value and generating an optimal regulation and control scheme.
In one embodiment, the adjustment parameter determining unit includes: the device comprises an acquisition device, a neighborhood determination device and an adjustment parameter generation device;
the acquisition device is used for acquiring the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters, and acquiring parameter correlation and parameter influence weights among the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters;
the neighborhood determining device is connected with the acquiring device and used for determining the neighborhood of the corrugated paper production link based on the parameter relevance;
the adjusting parameter generating device is connected with the acquiring device and the neighborhood determining device and used for calculating the adjusting parameters based on the parameter influence weight between the production link of the corrugated paper products and the neighborhood.
In one embodiment, the adjusting parameter generating device calculates the adjusting parameter based on a parameter influence weight between the production link of the corrugated paper product and the neighborhood, and the calculation formula is as follows:
Figure DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjThe weight of the influence of (a) is,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjAdjustment ofThe value of the latter parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
In view of the above, in a second aspect of the present application, a method for controlling an internet of things system for controlling a corrugated paper product production line is further provided, including:
the parameter acquisition module acquires raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products;
the regulation and control scheme setting module determines regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, and generates an optimal regulation and control scheme based on the regulation parameters;
and the production line regulation and control interface module sends the optimal regulation and control scheme to the corrugated paper production equipment by using the Internet of things.
In one embodiment, the parameter obtaining module obtains a raw material supply allocation parameter, an actual application demand parameter, an individualized customization parameter, and a production management parameter in a production link of a corrugated paper product, and includes:
a supply chain allocation unit extracts the raw material supply allocation parameters in a raw material supply chain link of the corrugated paper;
the order product parameter analysis unit collects a corrugated paper production order in a product order link and extracts the actual application demand parameter and the personalized customization parameter based on the corrugated paper production order;
and the production management parameter analysis unit extracts the production management parameters from the production management link.
In one embodiment, the adjusting and controlling scheme setting module determines adjusting parameters according to the raw material supply and blending parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, and generates an optimal adjusting and controlling scheme based on the adjusting parameters, including:
the adjustment parameter determining unit determines adjustment parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters;
an initial evaluation matrix construction unit constructs an initial evaluation matrix based on the preset process parameter set and the adjustment parameters, and normalizes the initial evaluation matrix to generate normalized process parameters and optimal process parameters;
the correlation coefficient calculating unit calculates a correlation coefficient according to the normalized process parameter and the optimal process parameter;
a comprehensive evaluation value generation unit determines an evaluation weight vector based on the correlation coefficient and generates a comprehensive evaluation value according to the evaluation weight vector;
and the sequencing unit sequences the comprehensive evaluation values to generate an optimal regulation and control scheme.
In one embodiment, the adjusting parameter determining unit determines adjusting parameters according to the raw material supply allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter, including:
the acquisition device acquires the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters, and acquires parameter correlation and parameter influence weights among the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters;
the neighborhood determining device determines the neighborhood of the corrugated paper production link based on the parameter relevance;
the adjustment parameter generating device calculates the adjustment parameter based on the parameter influence weight between the production link of the corrugated paper product and the neighborhood.
In one embodiment, the adjusting parameter generating device calculates the adjusting parameter based on a parameter influence weight between the production link of the corrugated paper product and the neighborhood, and the calculation formula is as follows:
Figure 94076DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjThe weight of the influence of (a) is,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the adjusted parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure 489285DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
according to the Internet of things system for corrugated paper product production line regulation and the regulation and control method thereof, provided by the embodiment of the invention, the regulation parameters are calculated based on the technological parameters in the raw material supply chain link, the product order link and the production management link in the corrugated paper product production line, so that all the technological parameters in the corrugated paper product production line can be accurately regulated based on actual specific application; and the regulation and control schemes are sequenced based on the comprehensive evaluation values, the optimal regulation and control scheme is selected, the matching degree of the process parameters in the optimal regulation and control scheme and the process parameters preset in the initial product design stage is ensured, and the quality of the corrugated paper product is ensured.
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 block diagram of an internet of things system for corrugated paper product production line regulation and control according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for regulating and controlling an internet of things system for regulating and controlling a corrugated paper product production line according to an embodiment of the present invention;
fig. 3 is a flowchart of step S201 according to an embodiment of the present invention;
fig. 4 is a flowchart of step S202 according to an embodiment of the present invention;
fig. 5 is a flowchart of step S2021 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.
Referring to fig. 1, an internet of things system for corrugated paper product line regulation according to an embodiment of the present invention includes: the system comprises a parameter acquisition module 1, a regulation and control scheme setting module 2 and a production line regulation and control interface module 3;
the parameter obtaining module 1 is used for obtaining raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products.
Specifically, parameters of the corrugated paper production link, namely, a raw material supply allocation parameter, an actual application demand parameter, a personalized customization parameter and a production management parameter, are respectively extracted from the corrugated paper production link (namely, a raw material supply chain link, a product order link and a production management link).
The regulation and control scheme setting module 2 is connected to the parameter obtaining module 1, and is configured to determine a regulation parameter according to the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter, and the production management parameter based on a preset process parameter set, and generate an optimal regulation and control scheme based on the regulation parameter.
The production line regulation and control interface module 3 is connected with the regulation and control scheme setting module 2 and corrugated paper product production equipment and is used for sending the optimal regulation and control scheme to the corrugated paper product production equipment by utilizing the Internet of things.
Specifically, the technology of the internet of things is utilized, the technological parameters corresponding to the optimal regulation and control scheme are sent to corrugated paper production equipment of the production line chain, and the corrugated paper production equipment updates the technological parameters based on the optimal regulation and control scheme and then executes the technological parameters.
In the embodiment, the adjustment parameters are calculated based on the process parameters in the raw material supply chain link, the product order link and the production management link in the corrugated paper product production line, so that all the process parameters in the corrugated paper product production line can be accurately adjusted based on actual specific application; and the regulation and control schemes are sequenced based on the comprehensive evaluation values, the optimal regulation and control scheme is selected, the matching degree of the process parameters in the optimal regulation and control scheme and the process parameters preset in the initial product design stage is ensured, and the quality of the corrugated paper product is ensured.
In one embodiment, the parameter obtaining module 1 includes: a supply chain deployment unit 4, an order product parameter analysis unit 5 and a production management parameter analysis unit 6;
the supply chain allocating unit 4 is used for extracting the raw material supply and allocation parameters in the raw material supply chain link of the corrugated paper.
Specifically, stock supply of raw materials such as raw paper and mucilage is obtained in a raw material supply chain link of the corrugated paper, and raw material supply and allocation parameters including raw paper material parameters, raw paper moisture content parameters, mucilage component parameters, mucilage moisture content parameters, surface treatment raw material parameters and the like are extracted.
The order product parameter analysis unit 5 is used for collecting corrugated paper production orders in a product order link and extracting the actual application demand parameters and the personalized customization parameters based on the corrugated paper production orders.
Specifically, the factors of the application season, the region, the bearing articles, the logistics and the like of the corrugated paper product reflected by the corrugated paper order are collected, and the parameters of the corrugated paper product such as the water content, the raw paper material, the surface process selection, the bonding firmness, the weight, the thickness and the like are extracted based on the factors.
For example, if the corrugated paper product for the corrugated paper order reaction is applied in summer, the region is Zhejiang and the bearing article is a steel product, based on the simulation of the application environment (summer and Zhejiang) of the corrugated paper by the corrugated paper application environment simulator, the water content of the corrugated paper product is collected to be 8% -9.2%, and based on the higher requirement of the steel product on the surface process selection of the corrugated paper, the surface of the corrugated paper product is coated with the film, and further based on the water content of the corrugated paper product being 8% -9.2%, the surface of the corrugated paper product is coated with the film to generate the actual application demand parameter.
Further, the personalized customization parameters comprise a surface process, a base paper material, weight, thickness and the like customized and designated by the order.
The production management parameter analysis unit 6 is used for extracting the production management parameters from the production management link.
Specifically, according to factors such as production time limit, total cost control and the like, production management parameters are analyzed and determined (for example, the raw paper material, the surface process selection and the thickness are determined according to the total cost control, and sizing amount, the glue water content and time-related parameters of each production link are determined according to the production time limit).
In one embodiment, the regulatory scheme setting module 2 includes: an adjustment parameter determining unit 7, an initial evaluation matrix constructing unit 8, a correlation coefficient calculating unit 9, a comprehensive evaluation value generating unit 10 and a sorting unit 11;
the adjusting parameter determining unit 7 is configured to determine an adjusting parameter according to the raw material supply and blending parameter, the actual application demand parameter, the personalized customization parameter, and the production management parameter.
Specifically, when L kinds of control schemes are preset, the values of the process parameters of the L kinds of control schemes are expressed as
Figure DEST_PATH_IMAGE003
Wherein, 1 is less than or equal tolL
The initial evaluation matrix constructing unit 8 is connected to the adjustment parameter determining unit 7, and is configured to construct an initial evaluation matrix based on the preset process parameter set and the adjustment parameter, and normalize the initial evaluation matrix to generate a normalized process parameter and an optimal process parameter.
Specifically, for all the process parameters X of the production link of the corrugated paper product, the preset process parameters in the product design stage are expressed as
Figure DEST_PATH_IMAGE004
i=1,2,3,4, wherein
Figure DEST_PATH_IMAGE005
Showing each corrugated paper production linkiProcess parameters ofp i The preset process parameter value of the product design stage is obtained;
further, the process parameter X and the preset process parameter based on all the production links of the corrugated paper products are expressed as
Figure 365974DEST_PATH_IMAGE004
An evaluation matrix D was constructed as follows:
Figure DEST_PATH_IMAGE006
further, the initial evaluation matrix is normalized to generate a normalized matrix C as follows:
Figure DEST_PATH_IMAGE007
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE008
Figure DEST_PATH_IMAGE009
wherein, in the step (A),
Figure DEST_PATH_IMAGE010
showing the production links of corrugated paper products in L regulating and controlling schemesiProcess parameters ofp i The minimum value of (a) is,
Figure DEST_PATH_IMAGE011
showing the production links of corrugated paper products in L regulating and controlling schemesiProcess parameters ofp i The maximum value of (1).
The correlation coefficient calculation unit 9 is connected to the initial evaluation matrix construction unit 8, and is configured to calculate a correlation coefficient according to the normalized process parameter and the optimal process parameter.
Specifically, the calculation formula for calculating the correlation coefficient according to the normalized process parameter and the optimal process parameter is as follows:
Figure DEST_PATH_IMAGE012
in the above formula, the first and second carbon atoms are,
Figure DEST_PATH_IMAGE013
the correlation coefficient is represented by a number of coefficients,lthe number of the regulation and control schemes is shown,
Figure DEST_PATH_IMAGE014
is shown asiThe optimal technological parameters of each corrugated paper production link,
Figure DEST_PATH_IMAGE015
is shown asiThe normalized technological parameters of each corrugated paper production link,ρthe control coefficient is represented by a control coefficient,
Figure DEST_PATH_IMAGE016
Figure DEST_PATH_IMAGE017
indicates the value range of the number in the regulation and control scheme and the production link of the corrugated paper products (namely
Figure DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE019
) Inner part
Figure DEST_PATH_IMAGE020
The minimum value of (a) is determined,
Figure DEST_PATH_IMAGE021
the number value range (namely 1 to less than or equal to) in the regulation and control scheme and the production link of corrugated paper productslL,1≤iLess than or equal to 4)
Figure DEST_PATH_IMAGE022
Is measured.
The comprehensive evaluation value generating unit 10 is connected to the correlation coefficient calculating unit 9, and is configured to determine an evaluation weight vector based on the correlation coefficient, and generate a comprehensive evaluation value according to the evaluation weight vector.
In particular, based on the correlation coefficient
Figure DEST_PATH_IMAGE023
Generating an evaluation matrix E, which specifically comprises the following steps:
Figure DEST_PATH_IMAGE024
specifically, an evaluation weight vector of the production link of the corrugated paper product is determined based on the evaluation matrix E
Figure DEST_PATH_IMAGE025
Figure DEST_PATH_IMAGE026
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE027
specifically, the comprehensive evaluation value of the regulation and control scheme is generated based on the evaluation weight vector, and the calculation formula is as follows:
Figure DEST_PATH_IMAGE028
in the above formula, the first and second carbon atoms are,
Figure DEST_PATH_IMAGE029
which indicates a comprehensive evaluation value of the evaluation,
Figure DEST_PATH_IMAGE030
is shown asiAnd (4) evaluation weight vectors of each corrugated paper product production link.
The ranking unit 11 is connected to the comprehensive evaluation value generating unit 10, and is configured to rank the comprehensive evaluation values to generate an optimal regulation and control scheme.
Specifically, the comprehensive evaluation value for each of all the L regulation schemes obtained by calculation
Figure 814535DEST_PATH_IMAGE029
Carry out sequencingComprehensive evaluation value
Figure 81568DEST_PATH_IMAGE029
The maximum regulation scheme shows that the matching degree of the maximum regulation scheme and the process parameter set F in the initial product design stage is the highest, and the regulation scheme can be selected as the optimal regulation scheme.
In one embodiment, the adjustment parameter determining unit 7 includes: an acquisition device 12, a neighborhood determination device 13 and an adjustment parameter generation device 14;
the obtaining device 12 is configured to obtain the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter, and the production management parameter, and collect parameter correlation and parameter influence weight between the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter, and the production management parameter.
Specifically, the raw material supply and blending parameter is expressed asp 1The actual application demand parameter is expressed asp 2The personalized customization parameters are expressed asp 3Said production management parameter is expressed asp 4And generating a set based on the parametersV={p 1, p 2, p 3, p 4}。
Further, the correlation effect among the raw material supply allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter is expressed as:G={V,E,W}。
further, the air conditioner is provided with a fan,
Figure DEST_PATH_IMAGE031
wherein, in the step (A),
Figure DEST_PATH_IMAGE032
Figure DEST_PATH_IMAGE033
Figure DEST_PATH_IMAGE034
indicating the production process of corrugated paperiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j Relevance of the impact; if the production link of corrugated paper products is carried outiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j Influence of the above
Figure DEST_PATH_IMAGE035
On the contrary, if the production link of corrugated paper products is carried outiParameter (d) ofp i Is not influenced by the production link of corrugated paper productsjParameter (d) ofp j Influence of the above
Figure DEST_PATH_IMAGE036
To ai=jI.e. to
Figure DEST_PATH_IMAGE037
For all, they are defined as 0.
For example,e 12representing raw material supply mix parameters in a raw material supply chain linkp 1Actual application demand parameters in order-received product parameter analysis sheetp 2Relevance of the impact.
Further, the air conditioner is provided with a fan,
Figure DEST_PATH_IMAGE038
wherein, in the step (A),
Figure DEST_PATH_IMAGE039
Figure DEST_PATH_IMAGE040
M=3,w ij indicating the production process of corrugated paperiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j The magnitude of the weight of the impact is,w ij within a preset value range
Figure DEST_PATH_IMAGE041
Internal value taking; if the production link of corrugated paper products is carried outiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j The greater the influence isw ij The larger the value of (A) is; for thei=jI.e. to
Figure DEST_PATH_IMAGE042
For all, they are defined as 0.
For example,w 24 representing actual application demand parameters in order product parameter analysis sheetp 2 The production management parameters in the production pipe link are expressed asp 4 The magnitude of the weight of the impact.
The neighborhood determining device 13 is connected to the obtaining device 12, and is configured to determine a neighborhood of the production link of the corrugated paper product based on the parameter relevance.
Specifically, assume that the production process of corrugated paper productsiParameter (d) ofp i Is taken asx i Determining the production link of corrugated paperiOne neighborhood of (A), i.e. the set E of correlations between parameters of the production process of the corrugated paper producte ij Corrugated paper product production link unequal to 0jForm a neighborhoodN i I.e. the production link of corrugated paper productsiOf the neighborhood of (c).
The adjusting parameter generating device 14 is connected to the acquiring device 12 and the neighborhood determining device 13, and is configured to calculate the adjusting parameter based on a parameter influence weight between the production link of the corrugated paper product and the neighborhood.
Specifically, the adjustment parameter generating device 14 calculates the adjustment parameter based on the parameter influence weight between the production link of the corrugated paper product and the neighborhood, and the calculation formula is as follows:
Figure 470349DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjThe weight of the influence of (a) is,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the adjusted parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure 139228DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
Furthermore, after some parameters of the production link of the corrugated paper product are actively adjusted, other parameters which are not actively adjusted are used as the parameters in the formulap i To, forp i Take a value ofx i And further calculating the adjustment parameterx i (t+1), calculating all parameters which are not actively adjusted after multi-round traversal, and obtaining the production link of the corrugated paper products
Figure DEST_PATH_IMAGE043
The adjusted value is the adjusting parameter of the production link of the corrugated paper product
Figure DEST_PATH_IMAGE044
And setting a regulation and control scheme according to the regulation parameters.
Further, if the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter determine that the adjustment parameters result in multiple values of the same actively adjusted parameter, the related parameters corresponding to the multiple values are used as a parallel regulation scheme.
Referring to fig. 2, a method for regulating an internet of things system for corrugated paper product production line regulation includes:
s201, a parameter obtaining module obtains raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in a corrugated paper product production link.
Specifically, parameters of the corrugated paper production link, namely, a raw material supply allocation parameter, an actual application demand parameter, a personalized customization parameter and a production management parameter, are respectively extracted from the corrugated paper production link (namely, a raw material supply chain link, a product order link and a production management link).
S202, the regulation and control scheme setting module determines regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, and generates an optimal regulation and control scheme based on the regulation parameters.
And S203, the production line regulation and control interface module sends the optimal regulation and control scheme to the corrugated paper production equipment by using the Internet of things.
Specifically, the technology of the internet of things is utilized, the technological parameters corresponding to the optimal regulation and control scheme are sent to corrugated paper production equipment of the production line chain, and the corrugated paper production equipment updates the technological parameters based on the optimal regulation and control scheme and then executes the technological parameters.
In an embodiment, as shown in fig. 3, in step S201, the acquiring module acquires a raw material supply allocation parameter, an actual application requirement parameter, a personalized customization parameter, and a production management parameter in a production process of a corrugated paper product, and includes:
and S2011, the supply chain blending unit extracts the raw material supply blending parameters in the raw material supply chain link of the corrugated paper.
Specifically, stock supply of raw materials such as raw paper and mucilage is obtained in a raw material supply chain link of the corrugated paper, and raw material supply and allocation parameters including raw paper material parameters, raw paper moisture content parameters, mucilage component parameters, mucilage moisture content parameters, surface treatment raw material parameters and the like are extracted.
S2012, an order product parameter analysis unit collects corrugated paper production orders in a product order link, and extracts the actual application demand parameters and the personalized customization parameters based on the corrugated paper production orders.
Specifically, the factors of the application season, the region, the bearing articles, the logistics and the like of the corrugated paper product reflected by the corrugated paper order are collected, and the parameters of the corrugated paper product such as the water content, the raw paper material, the surface process selection, the bonding firmness, the weight, the thickness and the like are extracted based on the factors.
For example, if the corrugated paper product for the corrugated paper order reaction is applied in summer, the region is Zhejiang and the bearing article is a steel product, based on the simulation of the application environment (summer and Zhejiang) of the corrugated paper by the corrugated paper application environment simulator, the water content of the corrugated paper product is collected to be 8% -9.2%, and based on the higher requirement of the steel product on the surface process selection of the corrugated paper, the surface of the corrugated paper product is coated with the film, and further based on the water content of the corrugated paper product being 8% -9.2%, the surface of the corrugated paper product is coated with the film to generate the actual application demand parameter.
Further, the personalized customization parameters comprise a surface process, a base paper material, weight, thickness and the like customized and designated by the order.
S2013, the production management parameter analyzing unit extracts the production management parameters from the production management link.
Specifically, according to factors such as production time limit, total cost control and the like, production management parameters are analyzed and determined (for example, the raw paper material, the surface process selection and the thickness are determined according to the total cost control, and sizing amount, the glue water content and time-related parameters of each production link are determined according to the production time limit).
In an embodiment, as shown in fig. 4, the step S202, namely the adjusting and controlling scheme setting module determines adjusting parameters according to the raw material supply and blending parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, and generates an optimal adjusting and controlling scheme based on the adjusting parameters, includes:
s2021, an adjusting parameter determining unit determines adjusting parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters.
Specifically, when L kinds of control schemes are preset, the values of the process parameters of the L kinds of control schemes are expressed as
Figure DEST_PATH_IMAGE045
Wherein, 1 is less than or equal tolL
S2022, the initial evaluation matrix constructing unit constructs an initial evaluation matrix based on the preset process parameter set and the adjusting parameter, normalizes the initial evaluation matrix to generate normalized process parameters and specifically, for the process parameters X of all the production links of the corrugated paper products, the preset process parameters in the product design stage are expressed as
Figure DEST_PATH_IMAGE046
i=1,2,3,4, wherein
Figure 194908DEST_PATH_IMAGE005
Showing each corrugated paper production linkiProcess parameters ofp i The preset process parameter value of the product design stage is obtained;
further, the process parameter X and the preset process parameter based on all the production links of the corrugated paper products are expressed as
Figure 949238DEST_PATH_IMAGE004
An evaluation matrix D was constructed as follows:
Figure 499299DEST_PATH_IMAGE006
further, the initial evaluation matrix is normalized to generate a normalized matrix C as follows:
Figure 22684DEST_PATH_IMAGE007
wherein the content of the first and second substances,
Figure 452528DEST_PATH_IMAGE008
Figure 694154DEST_PATH_IMAGE009
wherein, in the step (A),
Figure 969277DEST_PATH_IMAGE010
showing the production links of corrugated paper products in L regulating and controlling schemesiProcess parameters ofp i The minimum value of (a) is,
Figure 675065DEST_PATH_IMAGE011
showing the production links of corrugated paper products in L regulating and controlling schemesiProcess parameters ofp i The maximum value of (1).
S2023, the correlation coefficient calculating unit calculates the correlation coefficient according to the normalized process parameters and the optimal process parameters.
Specifically, the calculation formula for calculating the correlation coefficient according to the normalized process parameter and the optimal process parameter is as follows:
Figure 10232DEST_PATH_IMAGE012
in the above formula, the first and second carbon atoms are,
Figure 739153DEST_PATH_IMAGE013
the correlation coefficient is represented by a number of coefficients,lthe number of the regulation and control schemes is shown,
Figure 817968DEST_PATH_IMAGE014
is shown asiThe optimal technological parameters of each corrugated paper production link,
Figure 315945DEST_PATH_IMAGE015
is shown asiIndividual tileThe normalized technological parameters of the production link of the corrugated paper products,ρthe control coefficient is represented by a control coefficient,
Figure 399176DEST_PATH_IMAGE016
Figure 349815DEST_PATH_IMAGE017
indicates the value range of the number in the regulation and control scheme and the production link of the corrugated paper products (namely
Figure 232320DEST_PATH_IMAGE018
Figure 584804DEST_PATH_IMAGE019
) Inner part
Figure 589669DEST_PATH_IMAGE020
The minimum value of (a) is determined,
Figure 27604DEST_PATH_IMAGE021
the number value range (namely 1 to less than or equal to) in the regulation and control scheme and the production link of corrugated paper productslL,1≤iLess than or equal to 4)
Figure 448221DEST_PATH_IMAGE022
Is measured.
S2024, the comprehensive evaluation value generating unit determines an evaluation weight vector based on the correlation coefficient, and generates a comprehensive evaluation value from the evaluation weight vector.
In particular, based on the correlation coefficient
Figure 920791DEST_PATH_IMAGE023
Generating an evaluation matrix E, which specifically comprises the following steps:
Figure 847289DEST_PATH_IMAGE024
specifically, an evaluation weight vector of the production link of the corrugated paper product is determined based on the evaluation matrix E
Figure 772520DEST_PATH_IMAGE025
Figure 996828DEST_PATH_IMAGE026
Wherein the content of the first and second substances,
Figure 58325DEST_PATH_IMAGE027
. Specifically, the comprehensive evaluation value of the regulation and control scheme is generated based on the evaluation weight vector, and the calculation formula is as follows:
Figure 342676DEST_PATH_IMAGE028
in the above formula, the first and second carbon atoms are,
Figure 817519DEST_PATH_IMAGE029
which indicates a comprehensive evaluation value of the evaluation,
Figure 845518DEST_PATH_IMAGE030
is shown asiAnd (4) evaluation weight vectors of each corrugated paper product production link.
And S2025, sequencing the comprehensive evaluation values by a sequencing unit to generate an optimal regulation and control scheme.
Specifically, the comprehensive evaluation value for each of all the L regulation schemes obtained by calculation
Figure 27101DEST_PATH_IMAGE029
Sorting and comprehensive evaluation value
Figure 216774DEST_PATH_IMAGE029
The maximum regulation scheme shows that the matching degree of the maximum regulation scheme and the process parameter set F in the initial product design stage is the highest, and the regulation scheme can be selected as the optimal regulation scheme.
In one embodiment, as shown in fig. 5, in step S2021, the adjusting parameter determining unit determines adjusting parameters according to the raw material supply allocation parameter, the actual application demand parameter, the personalized customization parameter, and the production management parameter, including:
s20211, the obtaining device obtains the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter, and collects parameter correlation and parameter influence weight among the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter.
Specifically, the raw material supply and blending parameter is expressed asp 1The actual application demand parameter is expressed asp 2The personalized customization parameters are expressed asp 3Said production management parameter is expressed asp 4And generating a set based on the parametersV={p 1, p 2, p 3, p 4}。
Further, the correlation effect among the raw material supply allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter is expressed as:G={V,E,W}。
further, the air conditioner is provided with a fan,
Figure 116597DEST_PATH_IMAGE031
wherein, in the step (A),
Figure 985503DEST_PATH_IMAGE032
Figure 287171DEST_PATH_IMAGE033
Figure 647745DEST_PATH_IMAGE034
indicating the production process of corrugated paperiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j Relevance of the impact; if the production link of corrugated paper products is carried outiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j Influence of the above
Figure 34864DEST_PATH_IMAGE035
On the contrary, if the production link of corrugated paper products is carried outiParameter (d) ofp i Is not influenced by the production link of corrugated paper productsjParameter (d) ofp j Influence of the above
Figure 466983DEST_PATH_IMAGE036
To ai=jI.e. to
Figure 357578DEST_PATH_IMAGE037
For all, they are defined as 0.
For example,e 12representing raw material supply mix parameters in a raw material supply chain linkp 1Actual application demand parameters in order-received product parameter analysis sheetp 2Relevance of the impact.
Further, the air conditioner is provided with a fan,
Figure DEST_PATH_IMAGE047
wherein, in the step (A),
Figure 154633DEST_PATH_IMAGE039
Figure 763469DEST_PATH_IMAGE040
M=3,w ij indicating the production process of corrugated paperiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j The magnitude of the weight of the impact is,w ij within a preset value range
Figure 750010DEST_PATH_IMAGE041
Internal value taking; if the production link of corrugated paper products is carried outiParameter (d) ofp i Production link of corrugated paper productsjParameter (d) ofp j The greater the influence isw ij The larger the value of (A) is; for thei=jI.e. to
Figure 760692DEST_PATH_IMAGE042
For all, they are defined as 0.
For example,w 24 representing actual application demand parameters in order product parameter analysis sheetp 2 The production management parameters in the production pipe link are expressed asp 4 The magnitude of the weight of the impact.
S20212, the neighborhood determining device determines a neighborhood of the corrugated paper production link based on the parameter correlation.
Specifically, assume that the production process of corrugated paper productsiParameter (d) ofp i Is taken asx i Determining the production link of corrugated paperiOne neighborhood of (A), i.e. the set E of correlations between parameters of the production process of the corrugated paper producte ij Corrugated paper product production link unequal to 0jForm a neighborhoodN i I.e. the production link of corrugated paper productsiOf the neighborhood of (c).
S20213, the adjusting parameter generating device calculates the adjusting parameters based on the parameter influence weight between the corrugated paper production link and the neighborhood.
Specifically, in the adjustment parameter generation device, the adjustment parameter is calculated based on the parameter influence weight between the production link of the corrugated paper product and the neighborhood, and the calculation formula is as follows:
Figure 728648DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjThe weight of the influence of (a) is,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the adjusted parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure 824780DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
Furthermore, after some parameters of the production link of the corrugated paper product are actively adjusted, other parameters which are not actively adjusted are used as the parameters in the formulap i To, forp i Take a value ofx i And further calculating the adjustment parameterx i (t+1), calculating all parameters which are not actively adjusted after multi-round traversal, and obtaining the production link of the corrugated paper products
Figure 598701DEST_PATH_IMAGE043
The adjusted value is the adjusting parameter of the production link of the corrugated paper product
Figure 463889DEST_PATH_IMAGE044
And setting a regulation and control scheme according to the regulation parameters.
Further, if the raw material supply and allocation parameter, the actual application demand parameter, the personalized customization parameter and the production management parameter determine that the adjustment parameters result in multiple values of the same actively adjusted parameter, the related parameters corresponding to the multiple values are used as a parallel regulation scheme.
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 (4)

1. An internet of things system for corrugated paper product production line regulation and control is characterized by comprising: a parameter acquisition module, a regulation and control scheme setting module and a production line regulation and control interface module,
the parameter acquisition module is used for acquiring raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products,
the regulation and control scheme setting module is connected with the parameter acquisition module and is used for determining regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set and generating an optimal regulation and control scheme based on the regulation parameters,
the production line regulation and control interface module is connected with the regulation and control scheme setting module and corrugated paper production equipment and is used for sending the optimal regulation and control scheme to the corrugated paper production equipment by utilizing the Internet of things;
the regulation and control scheme setting module comprises: an adjustment parameter determining unit, an initial evaluation matrix constructing unit, a correlation coefficient calculating unit, a comprehensive evaluation value generating unit and a sorting unit,
the adjusting parameter determining unit is used for determining adjusting parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters,
the initial evaluation matrix construction unit is connected with the adjustment parameter determination unit and is used for constructing an initial evaluation matrix based on the preset process parameter set and the adjustment parameter, normalizing the initial evaluation matrix and generating normalized process parameters and optimal process parameters,
the correlation coefficient calculation unit is connected with the initial evaluation matrix construction unit and used for calculating the correlation coefficient according to the normalized process parameters and the optimal process parameters,
the comprehensive evaluation value generation unit is connected with the correlation coefficient calculation unit and used for determining an evaluation weight vector based on the correlation coefficient and generating a comprehensive evaluation value according to the evaluation weight vector,
the sorting unit is connected with the comprehensive evaluation value generating unit and used for sorting the comprehensive evaluation value to generate an optimal regulation and control scheme;
the adjustment parameter determining unit includes: an acquisition device, a neighborhood determination device and an adjustment parameter generation device,
the acquisition device is used for acquiring the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters, and acquiring parameter correlation and parameter influence weights among the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters,
the neighborhood determining device is connected with the acquiring device and is used for determining the neighborhood of the corrugated paper production link based on the parameter relevance,
the adjusting parameter generating device is connected with the acquiring device and the neighborhood determining device and is used for calculating the adjusting parameters based on the parameter influence weight between the production link of the corrugated paper products and the neighborhood;
the adjusting parameter generating device calculates the adjusting parameter based on the parameter influence weight between the corrugated paper production link and the neighborhood, and the calculation formula is as follows:
Figure 852902DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjInfluence weight of,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the adjusted parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure 301201DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
2. The system of claim 1, wherein the parameter obtaining module comprises: the system comprises a supply chain allocation unit, an order product parameter analysis unit and a production management parameter analysis unit;
the supply chain allocation unit is used for extracting raw material supply allocation parameters in a raw material supply chain link of the corrugated paper;
the order product parameter analysis unit is used for collecting a corrugated paper production order in a product order link and extracting the actual application demand parameter and the personalized customization parameter based on the corrugated paper production order;
the production management parameter analysis unit is used for extracting the production management parameters from a production management link.
3. A regulation and control method of an Internet of things system for corrugated paper product production line regulation and control is characterized by comprising the following steps:
the parameter acquisition module acquires raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the production link of corrugated paper products,
the regulation and control scheme setting module determines regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, generates an optimal regulation and control scheme based on the regulation parameters,
the production line regulation and control interface module sends the optimal regulation and control scheme to the corrugated paper production equipment by using the Internet of things;
the regulation and control scheme setting module determines regulation parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters based on a preset process parameter set, and generates an optimal regulation and control scheme based on the regulation parameters, and the regulation and control scheme setting module comprises:
the adjusting parameter determining unit determines adjusting parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters,
the initial evaluation matrix construction unit constructs an initial evaluation matrix based on the preset process parameter set and the adjustment parameter, normalizes the initial evaluation matrix to generate normalized process parameters and optimal process parameters,
the correlation coefficient calculating unit calculates a correlation coefficient according to the normalized process parameter and the optimal process parameter,
the comprehensive evaluation value generation unit determines an evaluation weight vector based on the correlation coefficient and generates a comprehensive evaluation value from the evaluation weight vector,
the sorting unit sorts the comprehensive evaluation values to generate an optimal regulation and control scheme;
the adjusting parameter determining unit determines adjusting parameters according to the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters, and comprises the following steps:
the acquisition device acquires the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters, and acquires parameter correlation and parameter influence weight among the raw material supply and allocation parameters, the actual application demand parameters, the personalized customization parameters and the production management parameters,
the neighborhood determining means determines the neighborhood of the corrugated paper production link based on the parameter correlation,
the adjusting parameter generating device calculates the adjusting parameters based on the parameter influence weight between the corrugated paper production link and the neighborhood;
the adjusting parameter generating device calculates the adjusting parameter based on the parameter influence weight between the corrugated paper production link and the neighborhood, and the calculation formula is as follows:
Figure 97249DEST_PATH_IMAGE001
wherein the content of the first and second substances,x i (t+1) corrugated paper production linkiThe parameters are adjusted so that the parameters are,α i indicating the production process of corrugated paperiThe gain generated by the parameters before the adjustment,x i (t) Indicating the production process of corrugated paperiThe value of the parameter before the adjustment is taken,w ij indicating the production process of corrugated paperiIs subjected to the production link of the corrugated paper productjThe weight of the influence of (a) is,x j (t+1) corrugated paper production linkiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the adjusted parameter is taken,x j (t) Indicating the production process of corrugated paperiNeighborhood of (2)N i Inner corrugated paper product production linkjThe value of the parameter before the adjustment is taken,
Figure 758038DEST_PATH_IMAGE002
indicating the production process of corrugated paperiThe adjusted parameter values produce gain.
4. The method for controlling the internet of things system for controlling the corrugated paper product production line according to claim 3, wherein the parameter obtaining module obtains raw material supply and allocation parameters, actual application demand parameters, personalized customization parameters and production management parameters in the corrugated paper product production line, and comprises:
a supply chain allocation unit extracts the raw material supply allocation parameters in a raw material supply chain link of the corrugated paper;
the order product parameter analysis unit collects a corrugated paper production order in a product order link and extracts the actual application demand parameter and the personalized customization parameter based on the corrugated paper production order;
and the production management parameter analysis unit extracts the production management parameters from the production management link.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765343A (en) * 2015-03-17 2015-07-08 深圳市天天盛纸品有限公司 Corrugated paper production line control system
CN107657681A (en) * 2017-09-19 2018-02-02 金蝶软件(中国)有限公司 Production equipment parameter regulation means and device, computer installation and readable memory
CN207586732U (en) * 2017-08-22 2018-07-06 正泰集团股份有限公司 Solar energy electroplax intelligent production system
CN109661623A (en) * 2016-09-09 2019-04-19 宝洁公司 Method for producing different product simultaneously on single production line
CN112560294A (en) * 2021-02-19 2021-03-26 浙江大胜达包装股份有限公司 Paper product production process control method and system based on intelligent prediction modeling
CN112561667A (en) * 2021-02-22 2021-03-26 浙江大胜达包装股份有限公司 Fresh-keeping corrugated carton on-line customized production system and method thereof

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109093013B (en) * 2018-06-22 2021-01-01 北京汽车股份有限公司 Edge covering forming method and device
CN112686224B (en) * 2021-03-12 2021-06-04 浙江大胜达包装股份有限公司 Wireless Internet of things system and method for monitoring and controlling corrugated paper transportation humidity

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765343A (en) * 2015-03-17 2015-07-08 深圳市天天盛纸品有限公司 Corrugated paper production line control system
CN109661623A (en) * 2016-09-09 2019-04-19 宝洁公司 Method for producing different product simultaneously on single production line
CN207586732U (en) * 2017-08-22 2018-07-06 正泰集团股份有限公司 Solar energy electroplax intelligent production system
CN107657681A (en) * 2017-09-19 2018-02-02 金蝶软件(中国)有限公司 Production equipment parameter regulation means and device, computer installation and readable memory
CN112560294A (en) * 2021-02-19 2021-03-26 浙江大胜达包装股份有限公司 Paper product production process control method and system based on intelligent prediction modeling
CN112561667A (en) * 2021-02-22 2021-03-26 浙江大胜达包装股份有限公司 Fresh-keeping corrugated carton on-line customized production system and method thereof

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