CN116184935B - Industrial production model parameter adjustment method and control system - Google Patents
Industrial production model parameter adjustment method and control systemInfo
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- CN116184935B CN116184935B CN202211028543.5A CN202211028543A CN116184935B CN 116184935 B CN116184935 B CN 116184935B CN 202211028543 A CN202211028543 A CN 202211028543A CN 116184935 B CN116184935 B CN 116184935B
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention provides an industrial production model parameter adjusting method and a control system, wherein the method comprises the steps of monitoring internal or external production conditions affecting the production quantity of products in real time, determining an affected target production model parameter and the change amplitude thereof according to the changed internal or external production conditions when any one of the internal or external production conditions changes, determining an associated production model parameter of the target production model parameter, judging whether the change amplitude of the target production model parameter is larger than the upper limit of the dynamic parameter range of the target production model parameter, keeping the associated production model parameter unchanged when the change amplitude of the target production model parameter is not larger than the upper limit of the dynamic parameter range, otherwise, 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, and adaptively adjusting the parameters of an industrial production model according to the change of the internal or external production condition.
Description
Technical Field
The invention relates to the technical field of industrial manufacturing, in particular to an industrial production model parameter adjusting method and an industrial production model parameter controlling system.
Background
Along with the development of numerical control technology, various numerical control devices are layered in various types, such as numerical control devices with different process uses, for example, metal cutting type numerical control machines, metal forming type numerical control machines, surveying type numerical control machines and the like, and numerical control devices with different motion control modes, different servo control systems or different linkage axes, for example, point position control numerical control machines, contour control numerical control machines, open-loop control numerical control machines, semi-closed-loop control numerical control machines, three-axis linkage numerical control machines, five-axis linkage numerical control machines and the like. In the prior art, various industrial production models are researched to solve the problem of maximizing production efficiency, however, the industrial production models are generally static parameter-oriented, and only the optimal solution under the condition that the internal and external production conditions are unchanged can be given. Since the industrial production environment and production conditions are dynamically changing, existing industrial production models are no longer applicable once the internal or external production conditions of the production system change.
Disclosure of Invention
Based on the above problems, the invention provides an industrial production model parameter adjusting method and a control system, which can adaptively adjust parameters of an industrial production model according to changes of internal and external production conditions.
In view of this, a first aspect of the present invention proposes a method for adjusting parameters of an industrial production model, comprising:
monitoring internal or external production conditions affecting the production quantity of the product in real time;
when any internal or external production condition changes, determining the affected target production model parameters and the change amplitude thereof according to the changed internal or external production condition;
determining associated production model parameters of the target production model parameters;
judging whether the variation amplitude of the target production model parameters is larger than the upper limit of the dynamic parameter range of the target production model parameters;
when the variation amplitude 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 variation amplitude of the related production model parameters to adjust the production model according to the variation amplitude of the related production model parameters.
Preferably, before the step of monitoring in real time the internal or external production conditions affecting the production quantity of the product, it further comprises:
Configuring production model parameters, wherein each production model parameter comprises a static parameter value and a dynamic parameter range;
The control device transmits the static parameter value to the production device in the initialization stage so that the production device can execute production tasks by using the industrial production model corresponding to the static parameter value.
Preferably, the internal production conditions include average daily productivity of the production devices, and when average daily productivity of any one production device is monitored to be reduced, determining that the affected target production model parameter is average daily productivity Y ij and variation range Δy ij of the product distributed by the i-th type production device, where i= (1, 2, n), j= (1, 2, m), n is the number of types of production devices involved in the current production model, m is the number of types of products involved in the current production model, and the step of determining whether the variation 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:
obtaining a daily average yield change amplitude deltay ijk of production facilities with smaller daily average yield, wherein k= (1, 2,., l i),li is the number of production facilities with smaller i-th type of daily average yield;
calculating the daily average output variation amplitude of the distributed products produced by the i-th type production equipment
Acquiring the upper limit lim (delta Y ij)＝si·lim(Δyij) of the dynamic parameter range of the daily output of the product distributed by the i-th production equipment, wherein s i is the number of the i-th production equipment, and lim (delta Y ij) is the upper limit of the dynamic parameter range of the daily output of a single i-th production equipment;
it is determined whether a variation amplitude Δy ij of the average daily yield of the product dispensed by the i-th type production apparatus is greater than an upper limit lim (Δy ij) of a dynamic parameter range of the average daily yield of the product dispensed by the i-th type production apparatus.
Preferably, the associated production model parameters of the average daily yield Y ij of the product dispensed by the i-th type production device include an average daily planned yield p j of the product of the j-th type, and the step of determining the variation amplitude of the associated production model parameters to adjust the production model according to the variation amplitude of the associated production model parameters when the average daily yield variation amplitude Δy ij of the product dispensed by the i-th type production device is greater than the upper limit lim (Δy ij) of the average daily yield dynamic parameter range of the product dispensed by the i-th type production device comprises:
Calculating the variation amplitude of the daily average planned output of the j-th class of products according to the variation amplitude delta Y ij of the daily average output of the distributed products produced by the i-th class of production equipment
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
Preferably, the associated production model parameters of the daily average yield of the product distributed by the i-th type production equipment comprise the number s i of the i-th type production equipment, and when the daily average yield variation amplitude deltay ij of the product distributed by the i-th type production equipment is greater than the upper limit lim (deltay ij) of the daily average yield dynamic parameter range of the product distributed by the i-th type production equipment, the step of determining the variation amplitude of the associated production model parameters to adjust the production model according to the variation amplitude of the associated production model parameters specifically comprises:
Determining a variation amplitude deltas i of the number s i of the i-th type production devices;
Calculating the variation amplitude of the daily average maximum productivity of the j-th class of products
Adjusting the production model toWherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
Preferably, the external production condition includes an unplanned queue production task of an existing product, and when the queue task of increasing the yield of the product being produced is monitored, determining that the affected target production model parameter is a daily average planned yield p j of the product of the j-th class and a variation range Δp j thereof, where j= (1, 2,..m), m is the number of types of products related to the current production model, and the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionLim (Δp j) is the upper limit of the daily planned production dynamic parameter range for the j-th class of product;
Determining whether the variation amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production.
Preferably, the associated production model parameters of the daily average planned production rate P j of the j-th class of products include a daily average production rate Y ij of the i-th class of production equipment for producing the allocated products, and when the variation 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 step of determining the variation range of the associated production model parameters to adjust the production model according to the variation range of the associated production model parameters specifically includes:
Determining the variation amplitude DeltaY ij of the daily average yield of the product dispensed by a class i production facility such that
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
Preferably, the external production condition includes an unscheduled production job of a new type of product, when it is monitored that the product type of the job is not any product type in the current production plan, determining that the affected target production model parameter is the number of types m of products related to the current production model, the variation range Δm, and the daily planned production p j variation range Δp j of the jth type of product, where j= (1, 2, m), the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionWherein m is the number of types of products related to the production model before the production plan is changed, and lim (Deltap j) is the upper limit of the dynamic parameter range of the daily planned output of the jth product;
Determining whether the variation amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production.
Preferably, the associated production model parameters of the number m of types of products related to the current production model and the daily average planned production rate P j of the jth type of products include a daily average production rate Y oj of the products allocated by the ith type of production equipment, and when the variation range Δp of the total daily production amount is greater than the upper limit lim (Δp) of the dynamic parameter range of the total daily production amount, the step of determining the variation range of the associated production model parameters to adjust the production model according to the variation range of the associated production model parameters specifically includes:
Determining the variation amplitude DeltaY ij of the daily average yield of the product dispensed by a class i production facility such that
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
A second aspect of the present invention proposes an industrial production model parameter control system comprising a production system comprising a plurality of types of production equipment for performing production tasks, a monitoring system comprising monitoring equipment for monitoring the operational status of the production system, a material supply system comprising material transporting equipment for transporting material to the production equipment, and a control system comprising at least one control equipment for planning production and altering production plans in accordance with changes in internal or external production conditions, the control equipment comprising a processor and a memory, the processor being adapted to execute a computer program stored by the memory to implement a method according to any one of the first aspects above.
The invention provides an industrial production model parameter adjusting method and a control system, wherein the method comprises the steps of monitoring internal or external production conditions affecting the production quantity of products in real time, determining an affected target production model parameter and the change amplitude thereof according to the changed internal or external production conditions when any one of the internal or external production conditions changes, determining an associated production model parameter of the target production model parameter, judging whether the change amplitude of the target production model parameter is larger than the upper limit of the dynamic parameter range of the target production model parameter, keeping the associated production model parameter unchanged when the change amplitude of the target production model parameter is not larger than the upper limit of the dynamic parameter range, otherwise, 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, and adaptively adjusting the parameters of an industrial production model according to the change of the internal or external production condition.
Drawings
FIG. 1 is a flow chart of a method for adjusting parameters of an industrial production model according to one embodiment of the present invention;
FIG. 2 is a schematic block diagram of an industrial process model parameter control system provided in accordance with one embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
In the description of the present invention, the term "plurality" means two or more, unless explicitly defined otherwise, the orientation or positional relationship indicated by the terms "upper", "lower", etc. are based on the orientation or positional relationship shown in the drawings, merely for convenience of description of the present invention and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. The terms "coupled," "mounted," "secured," and the like are to be construed broadly, as they are used in a fixed or removable sense, as they are coupled together, either directly or indirectly through intervening media. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of this specification, the terms "one embodiment," "some implementations," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
An industrial production model parameter adjustment method and a control system provided according to some embodiments of the present invention are described below with reference to the accompanying drawings.
As shown in fig. 1, a first aspect of the present invention proposes a method for adjusting parameters of an industrial production model, including:
monitoring internal or external production conditions affecting the production quantity of the product in real time;
when any internal or external production condition changes, determining the affected target production model parameters and the change amplitude thereof according to the changed internal or external production condition;
determining associated production model parameters of the target production model parameters;
judging whether the variation amplitude of the target production model parameters is larger than the upper limit of the dynamic parameter range of the target production model parameters;
when the variation amplitude 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 variation amplitude of the related production model parameters to adjust the production model according to the variation amplitude of the related production model parameters.
In the technical scheme of the invention, a certain redundancy is reserved for the production plan formulation, namely, the dynamic parameter range is reserved for each parameter of the industrial production model, so that the stable operation of production equipment is ensured, the equipment damage and even the safety risk caused by the limit capacity of the transitional squeezing production equipment are avoided, and the industrial production model has enough production plan change coping capability.
The conditions of breaking the production plan under the established industrial production model, so that the production efficiency of the factory is reduced, wherein the conditions include objective conditions of internal production conditions such as failure of part of production equipment or degradation of parts of the production equipment, which result in the reduction of the production efficiency, objective conditions of external production conditions such as insufficient material supply, or subjective conditions of temporary insertion of urgent production tasks and temporary cancellation of orders, which result in the change of the production plan, and the like.
The internal production conditions or the external production conditions which lead to the change of the production plan are different, the target production model parameters under the affected industrial production model are also different, and when the change amplitude of the target production model parameters directly affected by the internal production conditions or the external production conditions is not more than the upper limit of the dynamic parameter range preset by the target production model parameters, the target production model parameters are only regulated to adapt to the change of the internal production conditions or the external production conditions, and the fine adjustment of the single production model parameters has little influence on the production efficiency of the industrial production model. When the change amplitude of the target production model parameters directly affected by the internal production conditions or the external production conditions is larger than the upper limit of the dynamic parameter range preset by the target production model parameters, the independent adjustment of the affected target production model parameters is not beneficial to the maximization of the production efficiency, and the related parameters are required to be adjusted to optimize the production model.
Preferably, before the step of monitoring in real time the internal or external production conditions affecting the production quantity of the product, it further comprises:
Configuring production model parameters, wherein each production model parameter comprises a static parameter value and a dynamic parameter range;
The control device transmits the static parameter value to the production device in the initialization stage so that the production device can execute production tasks by using the industrial production model corresponding to the static parameter value.
In the technical scheme of the embodiment, the static parameter value and the dynamic parameter range are configured for each parameter in the industrial production model, and the industrial production model is initialized by only using the static parameter value to execute the production task during initialization, so that the stable operation of the production equipment is ensured. And when the production plan is changed due to internal production reasons or external production reasons, the parameters of the industrial production model are adjusted according to the dynamic parameter range, so that the maximization of the comprehensive production efficiency is realized.
Preferably, the internal production conditions include average daily productivity of the production devices, and when average daily productivity of any one production device is monitored to be reduced, determining that the affected target production model parameter is average daily productivity Y ij and variation range Δy ij of the product distributed by the i-th type production device, where i= (1, 2, n), j= (1, 2, m), n is the number of types of production devices involved in the current production model, m is the number of types of products involved in the current production model, and the step of determining whether the variation 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:
obtaining a daily average yield change amplitude deltay ijk of production facilities with smaller daily average yield, wherein k= (1, 2,., l i),li is the number of production facilities with smaller i-th type of daily average yield;
calculating the daily average output variation amplitude of the distributed products produced by the i-th type production equipment
Acquiring the upper limit lim (delta Y ij)＝si·lim(Δyij) of the dynamic parameter range of the daily output of the i-th type production equipment for producing the distributed product, wherein s i is the number of the i-th type production equipment, lim delta Y ij) is the upper limit of the dynamic parameter range of the daily output of a single i-th type production equipment;
it is determined whether a variation amplitude Δy ij of the average daily yield of the product dispensed by the i-th type production apparatus is greater than an upper limit lim (Δy ij) of a dynamic parameter range of the average daily yield of the product dispensed by the i-th type production apparatus.
Preferably, the associated production model parameters of the average daily yield Y ij of the product dispensed by the i-th type production device include an average daily planned yield p j of the product of the j-th type, and the step of determining the variation amplitude of the associated production model parameters to adjust the production model according to the variation amplitude of the associated production model parameters when the average daily yield variation amplitude Δy ij of the product dispensed by the i-th type production device is greater than the upper limit lim (Δy ij) of the average daily yield dynamic parameter range of the product dispensed by the i-th type production device comprises:
Calculating the variation amplitude of the daily average planned output of the j-th class of products according to the variation amplitude delta Y ij of the daily average output of the distributed products produced by the i-th class of production equipment
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
In the technical solution of the above embodiment, the working condition of each production device is monitored by the monitoring device, when it is monitored that the capacity of one or more production devices is reduced due to a fault or other reasons, the average daily yield of the production devices of the same type with the reduced capacity is determined as the target production model parameter, when the average daily yield variation range of the production devices of the same type is smaller than the upper limit of the corresponding dynamic parameter range, only the average daily yield of the production devices of the same type is adjusted, otherwise, the average daily yield of the product types distributed by the production devices of the same type is used as the related production model parameter, and the variation range of the average daily yields of the product types distributed by the production devices of the same type is calculated to adjust the production model.
Preferably, the associated production model parameters of the daily average yield of the product distributed by the i-th type production equipment comprise the number s i of the i-th type production equipment, and when the daily average yield variation amplitude deltay ij of the product distributed by the i-th type production equipment is greater than the upper limit lim (deltay ij) of the daily average yield dynamic parameter range of the product distributed by the i-th type production equipment, the step of determining the variation amplitude of the associated production model parameters to adjust the production model according to the variation amplitude of the associated production model parameters specifically comprises:
Determining a variation amplitude deltas i of the number s i of the i-th type production devices;
Calculating the variation amplitude of the daily average maximum productivity of the j-th class of products
Adjusting the production model toWherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
In the technical solution of the foregoing embodiment, the working condition of each production device is monitored by the monitoring device, when it is monitored that the capacity of one or more production devices is reduced due to a fault or other reasons, the daily average yield of the production devices of the same type with the reduced capacity is determined as the target production model parameter, when the daily average yield variation range of the production devices of the same type is smaller than the upper limit of the corresponding dynamic parameter range, only the daily average yield of the production devices of the same type is adjusted, otherwise, the number of the production devices of the same type is taken as the associated production model parameter, and the influence of the variation range of the number of the production devices of the same type on the daily average maximum capacity of the product types allocated by the production devices of the same type is determined to adjust the production model.
Preferably, the external production condition includes an unplanned queue production task of an existing product, and when the queue task of increasing the yield of the product being produced is monitored, determining that the affected target production model parameter is a daily average planned yield p j of the product of the j-th class and a variation range Δp j thereof, where j= (1, 2,..m), m is the number of types of products related to the current production model, and the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionLim (Δp j) is the upper limit of the daily planned production dynamic parameter range for the j-th class of product;
Determining whether the variation amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production.
Preferably, the associated production model parameters of the daily average planned production rate P j of the j-th class of products include a daily average production rate Y ij of the i-th class of production equipment for producing the allocated products, and when the variation 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 step of determining the variation range of the associated production model parameters to adjust the production model according to the variation range of the associated production model parameters specifically includes:
Determining the variation amplitude DeltaY ij of the daily average yield of the product dispensed by a class i production facility such that
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
In the technical solution of the above embodiment, by monitoring the change condition of the production plan, when it is monitored that there is an enqueuing task and the product produced by the enqueuing task is one or more of the types of products produced in the current production plan, the daily average planned output of the type of product is determined as the target production model parameter, when the variation amplitude of the daily average planned output of the type of product is smaller than the upper limit of the corresponding dynamic parameter range, only the daily average planned output of the type of product is adjusted, otherwise, the daily average output of the type of product produced by the production equipment for producing the type of product is determined as the relevant production model parameter, and the influence of the daily average output of the production equipment for producing the type of product on the daily average maximum output of the type of product is determined, so as to adjust the production model.
Preferably, the external production condition includes an unscheduled production job of a new type of product, when it is monitored that the product type of the job is not any product type in the current production plan, determining that the affected target production model parameter is the number of types m of products related to the current production model, the variation range Δm, and the daily planned production p j variation range Δp j of the jth type of product, where j= (1, 2, m), the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionWherein m is the number of types of products related to the production model before the production plan is changed, and lim (Deltap j) is the upper limit of the dynamic parameter range of the daily planned output of the jth product;
Determining whether the variation amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production.
Preferably, the associated production model parameters of the number m of types of products related to the current production model and the daily average planned production rate P j of the jth type of products include a daily average production rate Y ij of the products allocated by the ith type of production equipment, and when the variation range Δp of the total daily production amount is greater than the upper limit lim (Δp) of the dynamic parameter range of the total daily production amount, the step of determining the variation range of the associated production model parameters to adjust the production model according to the variation range of the associated production model parameters specifically includes:
Determining the variation amplitude DeltaY ij of the daily average yield of the product dispensed by a class i production facility such that
Calculating daily average maximum productivity of the j-th class of productsWherein t ij is the time during a production cycle when the class i production facility is assigned to produce class j products;
Adjusting the production model to Wherein the method comprises the steps ofRefers to a rounding down after quotient of a and b.
In the technical solution of the above embodiment, by monitoring the change condition of the production plan, when it is monitored that there is an enqueuing task and any one of the types of products produced by the enqueuing task and the type of products produced in the current production plan is different, determining the number of types of products related to the current production model and the daily planned output of the newly added type of products as target production model parameters, when the change amplitude of the daily planned output of the newly added type of products is smaller than the upper limit of the corresponding dynamic parameter range, only the number of types of products related to the production model and the daily planned output of the type of products are regulated, otherwise, the daily planned output of the type of products produced by the production equipment for producing the type of products is used as the related production model parameters, and determining the influence of the daily planned output of the type of products produced by the production equipment for producing the type of products on the daily maximum productivity of the type of products, so as to regulate the production model.
As shown in fig. 2, a second aspect of the present invention proposes an industrial production model parameter control system comprising a production system including a plurality of types of production apparatuses for performing production tasks, a monitoring system including a monitoring apparatus for monitoring an operation state of the production system, a material supply system including a material transporting apparatus for transporting material to the production apparatus, and a control system including at least one control apparatus for making a production plan and changing the production plan according to a change in an internal or external production condition, the control apparatus including a processor and a memory, the processor being for executing a computer program stored by the memory to implement the method of any one of the above first aspects.
The invention provides an industrial production model parameter adjusting method and a control system, wherein the method comprises the steps of monitoring internal or external production conditions affecting the production quantity of products in real time, determining an affected target production model parameter and the change amplitude thereof according to the changed internal or external production conditions when any one of the internal or external production conditions changes, determining an associated production model parameter of the target production model parameter, judging whether the change amplitude of the target production model parameter is larger than the upper limit of the dynamic parameter range of the target production model parameter, keeping the associated production model parameter unchanged when the change amplitude of the target production model parameter is not larger than the upper limit of the dynamic parameter range, otherwise, 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, and adaptively adjusting the parameters of an industrial production model according to the change of the internal or external production condition.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
Embodiments in accordance with the present invention, as described above, are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention and various modifications as are suited to the particular use contemplated. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. A method for adjusting parameters of an industrial production model, comprising:
monitoring internal or external production conditions affecting the production quantity of the product in real time;
when any internal or external production condition changes, determining the affected target production model parameters and the change amplitude thereof according to the changed internal or external production condition;
determining associated production model parameters of the target production model parameters;
judging whether the variation amplitude of the target production model parameters is larger than the upper limit of the dynamic parameter range of the target production model parameters;
when the variation amplitude 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 variation amplitude of the related production model parameters so as to adjust the production model according to the variation amplitude of the related production model parameters;
The internal production conditions include daily average productivity of production equipment, when it is monitored that the daily average productivity of any one production equipment becomes smaller, determining that the affected target production model parameter is the daily average productivity Y ij of the products allocated by the i-th type production equipment and the variation range Δy ij thereof, where i= (1, 2, the..n), j= (1, 2, the..m), n is the number of types of production equipment involved in the current production model, m is the number of types of products involved in the current production model, and the step of determining whether the variation 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:
obtaining a daily average yield change amplitude deltay ijk of production facilities with smaller daily average yield, wherein k= (1, 2,., l i),li is the number of production facilities with smaller i-th type of daily average yield;
calculating the daily average output variation amplitude of the distributed products produced by the i-th type production equipment
Acquiring the upper limit lim (delta Y ij)＝si·lim(Δyij) of the dynamic parameter range of the daily output of the product distributed by the i-th production equipment, wherein s i is the number of the i-th production equipment, and lim (delta Y ij) is the upper limit of the dynamic parameter range of the daily output of a single i-th production equipment;
Judging whether the variation amplitude delta Y ij of the daily average yield of the distributed products produced by the i-th type production equipment is larger than the upper limit lim (delta Y ij) of the dynamic parameter range of the daily average yield of the distributed products produced by the i-th type production equipment;
The external production condition includes an unplanned queue production task of an existing product, when the queue task of increasing the yield of the product being produced is monitored, determining that the affected target production model parameter is the daily average planned yield p j of the product of the j-th class and the variation range Δp j thereof, wherein j= (1, 2, the..m), m is the number of types of products related to the current production model, and the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionLim (Δp j) is the upper limit of the daily planned production dynamic parameter range for the j-th class of product;
judging whether the change amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production;
The external production condition includes an unscheduled queue production task of a new type of product, and when it is monitored that the product type of the queue task is not any product type in the current production plan, the step of determining that the affected target production model parameter is the type number m, the variation range Δm, and the daily average planned production p j variation range Δp j of the jth type of product related to the current production model, where j= (1, 2, the..m), m, and Δm are integers, and the step of determining whether the variation 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:
calculating the variation amplitude of the total daily production
Obtaining the upper limit of the dynamic parameter range of the total daily productionWherein m is the number of types of products related to the production model before the production plan is changed, and lim (Deltap j) is the upper limit of the dynamic parameter range of the daily planned output of the jth product;
Determining whether the variation amplitude delta P of the total daily production is larger than the upper limit lim (delta P) of the dynamic parameter range of the total daily production.
2. The method for adjusting parameters of an industrial production model according to claim 1, further comprising, before the step of monitoring in real time internal or external production conditions affecting the production quantity of the product:
Configuring production model parameters, wherein each production model parameter comprises a static parameter value and a dynamic parameter range;
The control device transmits the static parameter value to the production device in the initialization stage so that the production device can execute production tasks by using the industrial production model corresponding to the static parameter value.
3. An industrial production model parameter control system, characterized by comprising a production system, a monitoring system, a material supply system and a control system, the production system comprising a plurality of types of production equipment for performing production tasks, the monitoring system comprising monitoring equipment for monitoring the operational status of the production system, the material supply system comprising material transporting equipment for transporting material to the production equipment, the control system comprising at least one control equipment for planning production and altering production plans in accordance with changes in internal or external production conditions, the control equipment comprising a processor and a memory, the processor being adapted to execute a computer program stored by the memory to implement a method according to any one of claims 1-2.
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