Industrial production model parameter adjustment method and control system

Abstract

The present invention proposes an industrial production model parameter adjustment method and control system, which includes: real-time monitoring of internal or external production conditions that affect the production quantity of products; when any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges based on the changed internal or external production conditions; determining the associated production model parameters of the target production model parameters; judging whether the change range of the target production model parameters is greater than the upper limit of the dynamic parameter range of the target production model parameters; when the change range of the target production model parameters is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameters unchanged; otherwise, determining the change range of the associated production model parameters to adjust the production model according to the change range of the associated production model parameters, and being able to adaptively adjust the parameters of the industrial production model according to changes in internal and external production conditions.

Description

Technical Field

[0001] The present invention relates to the field of industrial manufacturing technology, and in particular to an industrial production model parameter adjustment method and a control system. Background Art

[0002] With the development of CNC technology, a wide variety of CNC equipment has emerged. There are CNC equipment with different process uses, such as metal cutting CNC machine tools, metal forming CNC machine tools, surveying and mapping CNC machine tools, etc. There are also CNC equipment with different motion control methods, different servo control systems, or different numbers of linkage axes, such as point control CNC machine tools, contour control CNC machine tools, open-loop control CNC machine tools, semi-closed-loop control CNC machine tools, closed-loop control CNC machine tools, three-axis linkage CNC machine tools, five-axis linkage CNC machine tools, etc. Due to the characteristics and uses of various CNC equipment, a processing plant is often equipped with multiple different types of CNC equipment. Some CNC equipment is only used to produce one type of product, while some CNC equipment can produce different types of products. However, the processing efficiency of the same CNC equipment for different types of products will vary. For processing plants that need to produce multiple types of products at the same time, how to arrange different CNC equipment to produce various types of products to maximize production efficiency under the existing production tasks and production capacity is an urgent problem to be solved. Various industrial production models have been developed to maximize production efficiency. However, these models are typically based on static parameters and can only provide optimal solutions when internal and external production conditions remain unchanged. Since industrial production environments and conditions are dynamic, existing models become inapplicable if the internal or external conditions of a production system change. Summary of the Invention

[0003] It is based on the above problems that the present invention proposes an industrial production model parameter adjustment method and control system, which can adaptively adjust the parameters of the industrial production model according to changes in internal and external production conditions.

[0004] In view of this, a first aspect of the present invention provides an industrial production model parameter adjustment method, comprising:

[0005] Real-time monitoring of internal or external production conditions that affect product production quantity;

[0006] When any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges according to the changed internal or external production conditions;

[0007] Determining associated production model parameters of the target production model parameters;

[0008] Determining whether a change range of the target production model parameter is greater than an upper limit of a dynamic parameter range of the target production model parameter;

[0009] When the change range of the target production model parameter is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameter unchanged;

[0010] Otherwise, the variation range of the associated production model parameter is determined to adjust the production model according to the variation range of the associated production model parameter.

[0011] Preferably, before the step of real-time monitoring of internal or external production conditions that affect the production quantity of the product, the method further includes:

[0012] Configuring production model parameters, each of the production model parameters including a static parameter value and a dynamic parameter range;

[0013] The control device transmits the static parameter value to the production device during the initialization phase, so that the production device performs the production task according to the industrial production model corresponding to the static parameter value.

[0014] Preferably, the internal production conditions include the average daily production capacity of the production equipment. When the average daily production capacity of any production equipment is monitored to be reduced, the affected target production model parameter is determined to be the average daily output Y of the product assigned to the i-th type of production equipment. ij and its variation range ΔY ij , where i = (1, 2, ..., n), j = (1, 2, ..., m), n is the number of types of production equipment involved in the current production model, and m is the number of types of products involved in the current production model. The step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0015] Get the daily average output change Δy of the production equipment whose daily average production capacity decreases ijk , where k = (1, 2, ..., l i ), l i is the number of production equipment of type i whose daily average production capacity has decreased;

[0016] Calculate the daily average output change of the products assigned to the i-th type of production equipment

[0017] Get the upper limit lim(ΔY) of the dynamic parameter range of the daily average output of the product assigned to the i-th type of production equipment ij )=s i ·lim(Δy ij ), where s i is the number of type i production equipment, lim(Δyij ) is the upper limit of the dynamic parameter range of the average daily output of a single type i production equipment;

[0018] Determine the daily average output change ΔY of the products assigned to the i-th type of production equipment ij Is it greater than the upper limit lim(ΔY ij ).

[0019] Preferably, the average daily output of the product assigned to the i-th type of production equipment is Y ij The parameters of the associated production model include the daily average planned output p of the jth product j , when the daily average output of the product assigned to the i-th type of production equipment changes by ΔY ij is greater than the upper limit lim(ΔY ij ), the step of determining the variation range of the associated production model parameter to adjust the production model according to the variation range of the associated production model parameter specifically includes:

[0020] The average daily output change ΔY of the products allocated to the production equipment of the i-th type ij Calculate the change in the average daily planned output of product type j

[0021] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0022] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0023] Preferably, the production model parameters associated with the average daily output of the products assigned to the i-th type of production equipment include the number s of the i-th type of production equipment i , when the daily average output of the product assigned to the i-th type of production equipment changes by ΔY ij is greater than the upper limit lim(ΔY ij ), the step of determining the variation range of the associated production model parameter to adjust the production model according to the variation range of the associated production model parameter specifically includes:

[0024] Determine the number s of the i-th type of production equipment i The change amplitude Δs i;

[0025] Calculate the change in the average daily maximum production capacity of product type j

[0026] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0027] Preferably, the external production conditions include unplanned queue-jumping production tasks for existing products. When a queue-jumping task that increases the output of the product being produced is detected, the affected target production model parameter is determined to be the daily average planned output p of the jth product. j and its variation range Δp j , where j = (1, 2, ..., m), m is the number of product types involved in the current production model, and the step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0028] Calculate the change in total daily production

[0029] Get the upper limit of the dynamic parameter range of the total daily production lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product;

[0030] It is determined whether the variation range ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume.

[0031] Preferably, the daily planned output of the jth product is p j The parameters of the associated production model include the average daily output Y of the product assigned to the i-th type of production equipment ij When the change amplitude ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume, the step of determining the change amplitude of the associated production model parameter to adjust the production model according to the change amplitude of the associated production model parameter specifically includes:

[0032] Determine the change in the average daily output of the products assigned to the i-th type of production equipment ΔY ij , making

[0033] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0034] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0035] Preferably, the external production conditions include unplanned queue-jumping production tasks of new types of products. When it is detected that the product type of the queue-jumping task is not any product type in the current production plan, the affected target production model parameters are determined to be the number of product types m, the change range Δm, and the average daily planned output p of the jth product involved in the current production model. j Variation range Δp j , where j = (1, 2, ..., m), the step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0036] Calculate the change in total daily production

[0037] Get the upper limit of the dynamic parameter range of the total daily production Where m is the number of product types involved in the production model before the production plan is changed, lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product;

[0038] It is determined whether the variation range ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume.

[0039] Preferably, the number of product types m involved in the current production model and the average daily planned output of the j-th product p j The parameters of the associated production model include the average daily output Y of the product assigned to the i-th type of production equipment oj When the change amplitude ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume, the step of determining the change amplitude of the associated production model parameter to adjust the production model according to the change amplitude of the associated production model parameter specifically includes:

[0040] Determine the change in the average daily output of the products assigned to the i-th type of production equipment ΔY ij , making

[0041] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0042] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0043] The second aspect of the present invention proposes an industrial production model parameter control system, including a production system, a monitoring system, a material supply system and a control system. The production system includes various types of production equipment for performing production tasks, the monitoring system includes monitoring equipment for monitoring the working status of the production system, the material supply system includes material transportation equipment for transporting materials to the production equipment, and the control system includes at least one control device for formulating production plans and changing production plans according to changes in internal or external production conditions. The control device includes a processor and a memory, and the processor is used to execute the computer program stored in the memory to implement any of the methods described in the first aspect above.

[0044] The present invention proposes an industrial production model parameter adjustment method and control system, which includes: real-time monitoring of internal or external production conditions that affect the production quantity of products; when any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges based on the changed internal or external production conditions; determining the associated production model parameters of the target production model parameters; judging whether the change range of the target production model parameters is greater than the upper limit of the dynamic parameter range of the target production model parameters; when the change range of the target production model parameters is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameters unchanged; otherwise, determining the change range of the associated production model parameters to adjust the production model according to the change range of the associated production model parameters, and being able to adaptively adjust the parameters of the industrial production model according to changes in internal and external production conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flow chart of a method for adjusting parameters of an industrial production model provided by one embodiment of the present invention;

[0046] Figure 2 It is a schematic block diagram of an industrial production model parameter control system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0049] In the description of the present invention, the term "plurality" refers to two or more. Unless otherwise specified, the terms "upper" and "lower" are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific manner. Therefore, they should not be construed as limiting the present invention. The terms "connected," "mounted," and "fixed," etc., should be interpreted broadly. For example, "connected" can refer to fixed, removable, or integral connections; directly or indirectly through an intermediary. A person of ordinary skill in the art will understand the specific meanings of these terms in the present invention based on the specific circumstances. Furthermore, the terms "first," "second," etc., etc., are used for descriptive purposes only and should not be construed to indicate or imply relative importance or to implicitly specify the number of the technical features indicated. Therefore, a feature designated "first," "second," etc., may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0050] Throughout this specification, terms such as "one embodiment," "some implementations," and "specific examples" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0051] An industrial production model parameter adjustment method and control system provided according to some embodiments of the present invention will be described below with reference to the accompanying drawings.

[0052] like Figure 1 As shown, the first aspect of the present invention provides an industrial production model parameter adjustment method, comprising:

[0053] Real-time monitoring of internal or external production conditions that affect product production quantity;

[0054] When any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges according to the changed internal or external production conditions;

[0055] Determining associated production model parameters of the target production model parameters;

[0056] Determining whether a change range of the target production model parameter is greater than an upper limit of a dynamic parameter range of the target production model parameter;

[0057] When the change range of the target production model parameter is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameter unchanged;

[0058] Otherwise, the variation range of the associated production model parameter is determined to adjust the production model according to the variation range of the associated production model parameter.

[0059] In the technical solution of the present invention, a certain amount of redundancy is retained in the formulation of the production plan, that is, the dynamic parameter range is reserved for each parameter of the industrial production model. On the one hand, this is to ensure the stable operation of the production equipment and avoid excessive squeezing of the production equipment's maximum production capacity, which may lead to equipment damage or even safety risks. On the other hand, it is also to enable the industrial production model to have sufficient ability to cope with changes in the production plan.

[0060] There are many situations in which the production plan under the established industrial production model is disrupted, resulting in a reduction in the factory's production efficiency. These include objective situations such as internal production conditions, such as failure of some production equipment or wear or aging of parts of some production equipment, which lead to a reduction in production efficiency. They also include objective situations such as changes in external production conditions, such as insufficient material supply, or subjective situations such as changes in production plans due to temporary emergency production tasks and temporary cancellation of orders.

[0061] Different internal production conditions or external production conditions that cause changes in the production plan will affect different target production model parameters under the industrial production model. When the target production model parameters directly affected by the internal or external production conditions vary by no more than the upper limit of the dynamic parameter range preset for the target production model parameters, only the target production model parameters are adjusted to adapt to the changes in the internal or external production conditions. Fine-tuning of a single production model parameter has little effect on the production efficiency of the industrial production model. When the target production model parameters directly affected by the internal or external production conditions vary by more than the upper limit of the dynamic parameter range preset for the target production model parameters, adjusting the affected target production model parameters individually is not conducive to maximizing production efficiency, and associated parameters need to be adjusted to optimize the production model.

[0062] Preferably, before the step of real-time monitoring of internal or external production conditions that affect the production quantity of the product, the method further includes:

[0063] Configuring production model parameters, each of the production model parameters including a static parameter value and a dynamic parameter range;

[0064] The control device transmits the static parameter value to the production device during the initialization phase, so that the production device performs the production task according to the industrial production model corresponding to the static parameter value.

[0065] In the technical solution of the above-mentioned embodiment, each parameter in the industrial production model is configured with a static parameter value and a dynamic parameter range. During initialization, the industrial production model is initialized using only the static parameter values ​​to execute production tasks, ensuring stable operation of production equipment. Furthermore, when the production plan changes due to internal or external production reasons, the parameters of the industrial production model are adjusted based on the dynamic parameter range to maximize overall production efficiency.

[0066] Preferably, the internal production conditions include the average daily production capacity of the production equipment. When the average daily production capacity of any production equipment is monitored to be reduced, the affected target production model parameter is determined to be the average daily output Y of the product assigned to the i-th type of production equipment. ij and its variation range ΔY ij , where i = (1, 2, ..., n), j = (1, 2, ..., m), n is the number of types of production equipment involved in the current production model, and m is the number of types of products involved in the current production model. The step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0067] Get the daily average output change Δy of the production equipment whose daily average production capacity decreases ijk , where k=(1,2,…,l i ), l i is the number of production equipment of type i whose daily average production capacity has decreased;

[0068] Calculate the daily average output change of the products assigned to the i-th type of production equipment

[0069] Get the upper limit lim(ΔY) of the dynamic parameter range of the daily average output of the product assigned to the i-th type of production equipment ij )=s i ·lim(Δy ij ), where s i is the number of production equipment of type i, limΔy ij ) is the upper limit of the dynamic parameter range of the average daily output of a single type i production equipment;

[0070] Determine the daily average output change ΔY of the products assigned to the i-th type of production equipmentij Is it greater than the upper limit lim(ΔY ij ).

[0071] Preferably, the average daily output of the product assigned to the i-th type of production equipment is Y ij The parameters of the associated production model include the daily average planned output p of the jth product j , when the daily average output of the product assigned to the i-th type of production equipment changes by ΔY ij is greater than the upper limit lim(ΔY ij ), the step of determining the variation range of the associated production model parameter to adjust the production model according to the variation range of the associated production model parameter specifically includes:

[0072] The average daily output change ΔY of the products allocated to the production equipment of the i-th type ij Calculate the change in the average daily planned output of product type j

[0073] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0074] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0075] In the technical solution of the above-mentioned embodiment, the working conditions of each production equipment are monitored by monitoring equipment. When it is monitored that the production capacity of a single or multiple production equipment decreases due to a fault or other reasons, the daily average output of the same type of production equipment as the production equipment with the decreased production capacity is determined as the target production model parameter. When the change range of the daily average output of the same type of production equipment is less than the upper limit of its corresponding dynamic parameter range, only the daily average output of the same type of production equipment is adjusted. Otherwise, the daily average output of the product type assigned to this type of production equipment is used as the associated production model parameter, and the change range of the daily average output of the product type assigned to this type of production equipment is calculated to adjust the production model.

[0076] Preferably, the production model parameters associated with the average daily output of the products assigned to the i-th type of production equipment include the number s of the i-th type of production equipment i , when the daily average output of the product assigned to the i-th type of production equipment changes by ΔY ijis greater than the upper limit lim(ΔY ij ), the step of determining the variation range of the associated production model parameter to adjust the production model according to the variation range of the associated production model parameter specifically includes:

[0077] Determine the number s of the i-th type of production equipment i The change amplitude Δs i ;

[0078] Calculate the change in the average daily maximum production capacity of product type j

[0079] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0080] In the technical solution of the above-mentioned embodiment, the working conditions of each production equipment are monitored by monitoring equipment. When it is monitored that the production capacity of a single or multiple production equipment decreases due to a fault or other reasons, the average daily output of the same type of production equipment as the production equipment with decreased production capacity is determined as the target production model parameter. When the change range of the average daily output of the same type of production equipment is less than the upper limit of its corresponding dynamic parameter range, only the average daily output of the same type of production equipment is adjusted. Otherwise, the number of production equipment of this type is used as the associated production model parameter to determine the impact of the change range of the number of production equipment of this type on the average daily maximum production capacity of the product type assigned to the production equipment of this type, so as to adjust the production model.

[0081] Preferably, the external production conditions include unplanned queue-jumping production tasks for existing products. When a queue-jumping task that increases the output of the product being produced is detected, the affected target production model parameter is determined to be the daily average planned output p of the jth product. j and its variation range Δp j , where j = (1, 2, ..., m), m is the number of product types involved in the current production model, and the step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0082] Calculate the change in total daily production

[0083] Get the upper limit of the dynamic parameter range of the total daily production lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product;

[0084] It is determined whether the variation range ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume.

[0085] Preferably, the daily planned output of the jth product is p j The parameters of the associated production model include the average daily output Y of the product assigned to the i-th type of production equipment ij When the change amplitude ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume, the step of determining the change amplitude of the associated production model parameter to adjust the production model according to the change amplitude of the associated production model parameter specifically includes:

[0086] Determine the change in the average daily output of the products assigned to the i-th type of production equipment ΔY ij , making

[0087] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0088] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0089] In the technical solution of the above-mentioned embodiment, by monitoring the changes in the production plan, when it is monitored that there is a queue-jumping task and the product produced by the queue-jumping task is one or more of the product types produced in the current production plan, the average daily planned output of the product of this type is determined as the target production model parameter. When the change in the total daily production volume caused by the change in the average daily planned output of the product of this type is less than the upper limit of the corresponding dynamic parameter range, only the average daily planned output of the product of this type is adjusted. Otherwise, the average daily output of the production equipment allocated to produce the product of this type is used as the associated production model parameter to determine the impact of the average daily output of the production equipment producing the product of this type on the average daily maximum production capacity of the product of this type, so as to adjust the production model.

[0090] Preferably, the external production conditions include unplanned queue-jumping production tasks of new types of products. When it is detected that the product type of the queue-jumping task is not any product type in the current production plan, the affected target production model parameters are determined to be the number of product types m, the change range Δm, and the average daily planned output p of the jth product involved in the current production model. j Variation range Δp j, where j = (1, 2, ..., m), the step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes:

[0091] Calculate the change in total daily production

[0092] Get the upper limit of the dynamic parameter range of the total daily production Where m is the number of product types involved in the production model before the production plan is changed, lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product;

[0093] It is determined whether the variation range ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume.

[0094] Preferably, the number of product types m involved in the current production model and the average daily planned output of the j-th product p j The parameters of the associated production model include the average daily output Y of the product assigned to the i-th type of production equipment ij When the change amplitude ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume, the step of determining the change amplitude of the associated production model parameter to adjust the production model according to the change amplitude of the associated production model parameter specifically includes:

[0095] Determine the change in the average daily output of the products assigned to the i-th type of production equipment ΔY ij , making

[0096] Calculate the maximum daily production capacity of product type j where t ij The time during which the i-th type of production equipment is allocated to produce the j-th type of product in a production cycle;

[0097] Adjust the production model to in It means taking the quotient of a and b and rounding down.

[0098] In the technical solution of the above-mentioned embodiment, by monitoring the changes in the production plan, when it is monitored that there is a queue-jumping task and the product type produced by the queue-jumping task is different from any of the product types produced in the current production plan, the number of product types involved in the current production model and the average daily planned output of the newly added type of product are determined as target production model parameters. When the change in the daily average planned output of the newly added type of product causes the change in the total daily production volume to be less than the upper limit of the corresponding dynamic parameter range, only the number of product types involved in the production model and the average daily planned output of this type of product are adjusted. Otherwise, the average daily output of this type of product produced by the production equipment allocated to produce this type of product is used as the associated production model parameter to determine the impact of the average daily output of this type of product produced by the production equipment producing this type of product on the average daily maximum production capacity of this type of product, so as to adjust the production model.

[0099] like Figure 2 As shown, the second aspect of the present invention proposes an industrial production model parameter control system, including a production system, a monitoring system, a material supply system and a control system, wherein the production system includes various types of production equipment for performing production tasks, the monitoring system includes monitoring equipment for monitoring the working status of the production system, the material supply system includes material transportation equipment for transporting materials to the production equipment, the control system includes at least one control device for formulating production plans and changing production plans according to changes in internal or external production conditions, the control device includes a processor and a memory, and the processor is used to execute the computer program stored in the memory to implement any of the methods described in the first aspect above.

[0100] The present invention proposes an industrial production model parameter adjustment method and control system, which includes: real-time monitoring of internal or external production conditions that affect the production quantity of products; when any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges based on the changed internal or external production conditions; determining the associated production model parameters of the target production model parameters; judging whether the change range of the target production model parameters is greater than the upper limit of the dynamic parameter range of the target production model parameters; when the change range of the target production model parameters is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameters unchanged; otherwise, determining the change range of the associated production model parameters to adjust the production model according to the change range of the associated production model parameters, and being able to adaptively adjust the parameters of the industrial production model according to changes in internal and external production conditions.

[0101] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0102] While embodiments of the present invention have been described above, these embodiments do not exhaustively describe all details and do not limit the invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the above description. These embodiments are selected and described in detail in this specification in order to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better utilize the present invention and its modifications. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for adjusting parameters of an industrial production model, characterized in that: include: Real-time monitoring of internal or external production conditions that affect product production quantity; When any of the internal or external production conditions changes, determining the affected target production model parameters and their change ranges according to the changed internal or external production conditions; Determining associated production model parameters of the target production model parameters; Determining whether a change range of the target production model parameter is greater than an upper limit of a dynamic parameter range of the target production model parameter; When the change range of the target production model parameter is not greater than the upper limit of the dynamic parameter range, keeping the associated production model parameter unchanged; otherwise, determining a change range of the associated production model parameter to adjust the production model according to the change range of the associated production model parameter; The internal production conditions include the average daily capacity of the production equipment. When the average daily capacity of any production equipment is monitored to be reduced, the affected target production model parameter is determined to be the average daily output Y of the product assigned to the i-th type of production equipment. ij and its variation range ΔY ij , where i = (1, 2, ..., n), j = (1, 2, ..., m), n is the number of types of production equipment involved in the current production model, and m is the number of types of products involved in the current production model. The step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes: Get the daily average output change Δy of the production equipment whose daily average production capacity decreases ijk , where k=(1,2,…,l i ), l i is the number of production equipment of type i whose daily average production capacity has decreased; Calculate the daily average output change of the products assigned to the i-th type of production equipment Get the upper limit lim(ΔY) of the dynamic parameter range of the daily average output of the product assigned to the i-th type of production equipment ij )=s i ·lim(Δy ij ), where s i is the number of type i production equipment, lim(Δy ij ) is the upper limit of the dynamic parameter range of the average daily output of a single type i production equipment; Determine the daily average output change ΔY of the products assigned to the i-th type of production equipment ij Is it greater than the upper limit lim(ΔY ij ); The external production conditions include unplanned queue-jumping production tasks for existing products. When a queue-jumping task that increases the output of the product being produced is detected, the affected target production model parameter is determined to be the daily average planned output p of the jth product. j and its variation range Δp j , where j = (1, 2, ..., m), m is the number of product types involved in the current production model, and the step of determining whether the change range of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes: Calculate the change in total daily production Get the upper limit of the dynamic parameter range of the total daily production lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product; Determine whether the change range ΔP of the total daily production is greater than the upper limit lim(ΔP) of the dynamic parameter range of the total daily production; The external production conditions include unplanned queue-jumping production tasks for new types of products. When it is detected that the product type of the queue-jumping task is not a product type in the current production plan, the affected target production model parameters are determined to be the number of product types m, the change range Δm, and the average daily planned output p of the jth product involved in the current production model. j Variation range Δp j , where j = (1, 2, ..., m), m and Δm are both integers, and the step of determining whether the change amplitude of the target production model parameter is greater than the upper limit of the dynamic parameter range of the target production model parameter specifically includes: Calculate the change in total daily production Get the upper limit of the dynamic parameter range of the total daily production Where m is the number of product types involved in the production model before the production plan is changed, lim(Δp j ) is the upper limit of the dynamic parameter range of the daily average planned output of the j-th product; It is determined whether the variation range ΔP of the single-day total production volume is greater than the upper limit lim(ΔP) of the dynamic parameter range of the single-day total production volume.

2. The industrial production model parameter adjustment method according to claim 1, characterized in that: Before the step of real-time monitoring of internal or external production conditions that affect product production quantity, it also includes: Configuring production model parameters, each of the production model parameters including a static parameter value and a dynamic parameter range; The control device transmits the static parameter value to the production device during the initialization phase, so that the production device performs the production task according to the industrial production model corresponding to the static parameter value.

3. An industrial production model parameter control system, characterized in that: It includes a production system, a monitoring system, a material supply system and a control system. The production system includes various types of production equipment for performing production tasks. The monitoring system includes monitoring equipment for monitoring the working status of the production system. The material supply system includes material transportation equipment for transporting materials to the production equipment. The control system includes at least one control device for formulating production plans and changing production plans according to changes in internal or external production conditions. The control device includes a processor and a memory. The processor is used to execute a computer program stored in the memory to implement the method described in any one of claims 1 to 2.

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