Disclosure of Invention
Aiming at the defects, the invention provides a production line variant obtaining method for upgrading and updating complex electromechanical products, and aims to solve the problems that the existing production line variant design method mainly depends on experience of designers, lacks systematic and standardized flow support, causes low production line adjustment efficiency, generally depends on actual construction of a production line when verifying the production line variant, and causes waste of a large amount of manpower, material resources and time cost because the production line needs to be repeatedly adjusted and re-constructed if the variant has defects.
To achieve the purpose, the invention adopts the following technical scheme:
a production line variant scheme acquisition method for upgrading and updating of complex electromechanical products comprises the following steps:
Step S1, acquiring production line parameters, wherein the production line parameters comprise production line unit parameters and product parameters;
S2, constructing a complex electromechanical product production line modification design platform and a digital twin platform, wherein the complex electromechanical product production line modification design platform is used for analyzing all affected production line parameters in a parameter association network based on a production line parameter change starting point so as to generate a production line modification scheme;
s3, carrying out relation analysis on the production line parameters to construct a production line parameter association network;
S4, determining the type of the upgrade of the complex electromechanical product, and acquiring the upgrade knowledge of the complex electromechanical product according to the type of the upgrade of the complex electromechanical product;
s5, mapping the complex electromechanical product upgrading knowledge to a production line parameter association network so as to analyze a production line parameter change starting point;
s6, inputting a production line parameter change starting point into a complex electromechanical product production line modification design platform, and outputting a production line modification scheme;
And S7, virtually deforming the complex electromechanical product production line in the digital twin platform according to the production line deformation scheme to obtain a deformed complex electromechanical product virtual production line, evaluating whether the deformed complex electromechanical product virtual production line meets the product production requirement, if so, taking the production line deformation scheme as a final production line deformation scheme, and if not, adjusting the production line parameter change starting point, and circularly executing the steps S6-S7 until the production line deformation scheme obtained through the adjusted production line parameter change starting point can construct the complex electromechanical product virtual production line meeting the product production requirement, and taking the production line deformation scheme as the final production line deformation scheme.
Preferably, in step S1, the following substeps are specifically included:
s11, obtaining complex electromechanical products and production lines thereof;
Step S12, dividing the unit of the production line of the complex electromechanical product to obtain the divided units of the production line, wherein the specific substeps are as follows:
Dividing a production line of complex electromechanical products into a plurality of devices according to a process sequence, dividing each device into a plurality of components according to a processing process sequence, and dividing each component into a plurality of parts;
And S13, respectively extracting parameters of each equipment, each component, each part and the complex electromechanical product, and extracting configuration parameters, type parameters, control parameters and optimal parameters of each equipment and each component, configuration parameters of each part and product parameters of the complex electromechanical product.
Preferably, in step S3, the following substeps are specifically included:
Step S31, determining production line unit parameters directly affected by product upgrading, defining the production line unit parameters directly affected by the product upgrading as first-generation affected production line unit parameters, and connecting the product parameters with the first-generation affected production line unit parameters by using arrows so as to determine the connection relation between the product parameters and the first-generation affected production line unit parameters;
Step S32, determining a second generation of affected line unit parameters according to the first generation of affected line unit parameters, determining a third generation of affected line unit parameters according to the second generation of affected line unit parameters, and so on, and determining each generation of affected line unit parameters;
Step S33, sequentially connecting the unit parameters of each generation of affected production line by using arrows so as to determine the connection relation between the unit parameters of each generation of affected production line;
And step S34, a mathematical model is used for respectively representing the connection relation between the product parameters and the first generation of affected production line unit parameters and the connection relation between each generation of affected production line unit parameters so as to obtain a production line parameter association network.
Preferably, in step S32, the following substeps are specifically included:
S321, positioning the first generation affected line unit parameters in the units divided by the production line, and defining the positioned parameters as the nth generation affected line unit parameters;
Step S322, determining a parameter propagation direction, sequencing the parameters of the affected production line units of the nth generation according to the sequence, and determining the parameters of the affected production line units of the (n+1) th generation according to the parameter propagation direction;
step S323, repeatedly executing steps S321-S322 to obtain the parameters of each generation of affected production line units.
Preferably, in step S322, the nth generation affected production line unit parameters are ordered in sequence, specifically including the following sub-steps:
S3221, each parameter in the nth generation affected production line unit parameters is encoded to obtain the number of each parameter in the nth generation affected production line unit parameters, wherein the number is represented by an array [ a i,bi,ci ], a i represents the equipment number of the ith parameter, b i represents the component number of the ith parameter, and c i represents the part number of the ith parameter;
step S3222, determining a sequencing order rule, wherein the sequencing order rule is as follows:
When the parameters to be sequenced are parameters of different levels of units, sequencing is carried out according to a rule of 'part level parameters > component level parameters > equipment level parameters';
When the parameter to be ordered is the parameter of the same level unit, if the upper level unit to which the parameter to be ordered belongs is the same, the ordering is carried out according to the rule that the parameter of the same level unit is smaller in number and is preferentially arranged before;
When the parameters to be sequenced are parameters of the same unit, sequencing is carried out according to the rule of 'configuration parameter > type parameter > control type parameter > optimal type parameter';
And S3223, comparing the numbers of every two adjacent parameters in the nth generation affected production line unit parameters, and adopting a corresponding ordering sequence rule to finish ordering each parameter in the nth generation affected production line unit parameters.
Preferably, in step S4, the types of the complex electromechanical product upgrades include product specification upgrades, process upgrades and process upgrades, wherein the process upgrades include reducing process steps and adding process steps, and the process upgrades include adding process components;
In step S5, the method specifically includes the following substeps:
When the type of the complex electromechanical product upgrade is product specification upgrade, mapping product specification upgrade knowledge to a production line parameter association network to analyze a product parameter as a production line parameter change starting point;
When the type of the complex electromechanical product upgrade is a reduction procedure, mapping knowledge of the reduction procedure to a production line parameter association network so as to analyze configuration parameters of a production line unit in the next procedure as a production line parameter change starting point;
when the type of the upgrade of the complex electromechanical product is an increasing procedure, mapping the knowledge of the increasing procedure to a production line parameter association network so as to analyze the configuration parameters of the production line units in the new increasing procedure as a production line parameter change starting point;
When the type of the complex electromechanical product upgrade is process upgrade, mapping process upgrade knowledge to a production line parameter association network to analyze configuration parameters of the newly added process components as a production line parameter change starting point.
Preferably, in step S7, virtual modification is performed on the complex electromechanical product line in the digital twin platform according to the line modification scheme, so as to obtain a modified complex electromechanical product virtual line, which specifically includes the following substeps:
step S71, modeling a complex electromechanical product production line in a digital twin platform to obtain a complex electromechanical product production line model;
and S72, reconstructing a complex electromechanical product production line model according to a production line modification scheme to obtain a modified complex electromechanical product virtual production line.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
According to the scheme, a parameter association network is constructed, changes of product upgrading and updating are mapped to the parameter association network, so that a production line parameter changing starting point is analyzed, other production line parameters influenced by the product upgrading and updating are analyzed in a complex electromechanical product production line modification design platform, further a production line modification scheme is output, a complex electromechanical product production line is virtually modified according to the production line modification scheme in a digital twin platform, and the production line modification scheme is adjusted for multiple times if the product produced by the production line does not meet production requirements, and a final production line modification scheme is determined. In addition, in terms of feasibility and effectiveness of verification of the production line modification scheme, virtual verification is performed based on the digital twin platform in the scheme, the actual construction of the production line is not required for verification, and a large amount of labor, material resources and time cost required by the actual construction of the production line are avoided.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention and are not to be construed as limiting the present invention.
A production line variant scheme acquisition method for upgrading and updating of complex electromechanical products comprises the following steps:
Step S1, acquiring production line parameters, wherein the production line parameters comprise production line unit parameters and product parameters;
S2, constructing a complex electromechanical product production line modification design platform and a digital twin platform, wherein the complex electromechanical product production line modification design platform is used for analyzing all affected production line parameters in a parameter association network based on a production line parameter change starting point so as to generate a production line modification scheme;
s3, carrying out relation analysis on the production line parameters to construct a production line parameter association network;
S4, determining the type of the upgrade of the complex electromechanical product, and acquiring the upgrade knowledge of the complex electromechanical product according to the type of the upgrade of the complex electromechanical product;
s5, mapping the complex electromechanical product upgrading knowledge to a production line parameter association network so as to analyze a production line parameter change starting point;
s6, inputting a production line parameter change starting point into a complex electromechanical product production line modification design platform, and outputting a production line modification scheme;
And S7, virtually deforming the complex electromechanical product production line in the digital twin platform according to the production line deformation scheme to obtain a deformed complex electromechanical product virtual production line, evaluating whether the deformed complex electromechanical product virtual production line meets the product production requirement, if so, taking the production line deformation scheme as a final production line deformation scheme, and if not, adjusting the production line parameter change starting point, and circularly executing the steps S6-S7 until the production line deformation scheme obtained through the adjusted production line parameter change starting point can construct the complex electromechanical product virtual production line meeting the product production requirement, and taking the production line deformation scheme as the final production line deformation scheme.
In the method for acquiring the production line variants for upgrading complex electromechanical products, as shown in fig. 1, the first step is to acquire production line parameters, wherein the production line parameters comprise production line unit parameters and product parameters, in this embodiment, by acquiring the line parameters, it is beneficial to the specific influence of the product upgrade on the subsequent clear line, i.e. which line parameters need to be changed when facing the product upgrade. Further illustrated, the production line unit parameters include equipment parameters, component parameters, and part parameters. Product parameters refer to product specification attribute parameters such as length, width, height, diameter, and the like. The second step is to construct a complex electromechanical product production line modification design platform and a digital twin platform, wherein the complex electromechanical product production line modification design platform is used for analyzing all affected production line parameters in a parameter association network based on a production line parameter change starting point so as to generate a production line modification scheme, and the digital twin platform is used for virtually modeling and simulating the complex electromechanical product production line. And by constructing the digital twin platform, the subsequent simulation of the production line modification scheme is facilitated. Further, the complex electromechanical product production line modification design platform is an existing design platform, and the digital twin platform is an existing simulation platform. And thirdly, carrying out relation analysis on the production line parameters to construct a production line parameter association network, wherein in the embodiment, the relation among all the production line parameters is favorably cleared by carrying out relation analysis on the production line parameters. The fourth step is to determine the type of the upgrade of the complex electromechanical product and obtain the upgrade knowledge of the complex electromechanical product according to the type of the upgrade of the complex electromechanical product. further, the types of complex electromechanical product upgrades are classified into product specification upgrades, process upgrades, and process upgrades. Product specification upgrading refers to the change of the structural size of a product, process upgrading refers to the addition of a process or the reduction of a process, and process upgrading refers to the addition of a process component. The fifth step is to map the upgrade knowledge of the complex electromechanical product to the production line parameter association network to analyze the origin of the production line parameter change, which, in this embodiment, and the change starting point of the production line parameters is analyzed, so that other affected production line parameters can be analyzed according to the links of the parameter association network. The sixth step is to input the line parameter change starting point into the complex electromechanical product line modification design platform to output the line modification scheme, and in particular, since the complex electromechanical product line modification design platform is pre-written into the parameter association network, the complex electromechanical product line modification design platform can automatically analyze other affected line parameters in the parameter association network by inputting the line parameter change starting point into the complex electromechanical product line modification design platform. In one embodiment, taking a change in the size of the cylindrical object as an example, when the size of the cylindrical object changes, the change affects the size of the fixture for clamping the cylindrical object to change, and the complex electromechanical product line modification design platform can generate a line modification scheme according to the size change value of the fixture for clamping the cylindrical object. The seventh step is to virtually modify the complex electromechanical product production line in the digital twin platform according to the production line modification scheme to obtain a modified complex electromechanical product virtual production line, evaluate whether the modified complex electromechanical product virtual production line meets the product production requirement, if so, take the production line modification scheme as a final production line modification scheme, and if not, adjust the production line parameter modification starting point, and circularly execute the steps S6-S7 until the production line modification scheme obtained by adjusting the production line parameter modification starting point can construct the complex electromechanical product virtual production line meeting the product production requirement, and take the production line modification scheme as the final production line modification scheme. In order to evaluate whether the product line of the complex electromechanical product modified according to the product line modification scheme can generate an updated product, running the product line in a digital twin platform, observing whether the product line can produce the complex electromechanical product meeting the product production requirement, if the product line cannot produce the complex electromechanical product meeting the product production requirement, adjusting corresponding product line parameters, taking the adjusted product line parameters as new modification starting points, continuously generating a new product line modification scheme according to the new modification starting points in a complex electromechanical product line modification design platform, continuously verifying the new product line modification scheme in the digital twin platform, and taking the new product line modification scheme as a final product line modification scheme if the product line modified by the new product line modification scheme can produce the complex electromechanical product meeting the product production requirement.
According to the scheme, a parameter association network is constructed, changes of product upgrading and updating are mapped to the parameter association network, so that a production line parameter changing starting point is analyzed, other production line parameters influenced by the product upgrading and updating are analyzed in a complex electromechanical product production line modification design platform, further a production line modification scheme is output, a complex electromechanical product production line is virtually modified according to the production line modification scheme in a digital twin platform, and the production line modification scheme is adjusted for multiple times if the product produced by the production line does not meet production requirements, and a final production line modification scheme is determined. In addition, in terms of feasibility and effectiveness of verification of the production line modification scheme, virtual verification is performed based on the digital twin platform in the scheme, the actual construction of the production line is not required for verification, and a large amount of labor, material resources and time cost required by the actual construction of the production line are avoided.
Preferably, in step S1, the method specifically comprises the following substeps:
s11, obtaining complex electromechanical products and production lines thereof;
Step S12, dividing the unit of the production line of the complex electromechanical product to obtain the divided units of the production line, wherein the specific substeps are as follows:
Dividing a production line of complex electromechanical products into a plurality of devices according to a process sequence, dividing each device into a plurality of components according to a processing process sequence, and dividing each component into a plurality of parts;
And S13, respectively extracting parameters of each equipment, each component, each part and the complex electromechanical product, and extracting configuration parameters, type parameters, control parameters and optimal parameters of each equipment and each component, configuration parameters of each part and product parameters of the complex electromechanical product.
In this embodiment, by extracting parameters of each device, component and part in the production line, and parameters of the complex electromechanical product, it is advantageous to analyze which parameters need to be changed in the face of product upgrades later.
Further, configuration parameters refer to the topological structure and static configuration of the production line, including the locations of the various units of the production line, equipment, components and parts, as well as the size, specific structure, component performance and functional parameters of each unit. The type parameters refer to parameters related to the production line moving part, and include parameters such as the form, distance, speed, acceleration, angular acceleration and the like of the moving part. The optimal parameters refer to the optimization problem of the production line in the whole operation process, and in the embodiment, the optimal parameters refer to constraint and evaluation indexes of the production line, including the size of the production line, equipment cost, product productivity, yield, single equipment downtime and the like;
Preferably, in step S3, the method specifically comprises the following substeps:
Step S31, determining production line unit parameters directly affected by product upgrading, defining the production line unit parameters directly affected by the product upgrading as first-generation affected production line unit parameters, and connecting the product parameters with the first-generation affected production line unit parameters by using arrows so as to determine the connection relation between the product parameters and the first-generation affected production line unit parameters;
Step S32, determining a second generation of affected line unit parameters according to the first generation of affected line unit parameters, determining a third generation of affected line unit parameters according to the second generation of affected line unit parameters, and so on, and determining each generation of affected line unit parameters;
Step S33, sequentially connecting the unit parameters of each generation of affected production line by using arrows so as to determine the connection relation between the unit parameters of each generation of affected production line;
And step S34, a mathematical model is used for respectively representing the connection relation between the product parameters and the first generation of affected production line unit parameters and the connection relation between each generation of affected production line unit parameters so as to obtain a production line parameter association network.
In this embodiment, in step S31, the connection relationship between the product parameter and the first generation of affected line unit parameter is determined, so as to facilitate the clearing of the relationship between the product and the line unit parameter. In step S33, it is advantageous to clear the relationship between the line unit parameters by determining the connection relationship between each generation of the affected line unit parameters. In step S34, the connection relationship between the product parameter and the first generation affected line unit parameter is represented by using the mathematical model, so that the relationship between the product and the line unit parameter can be more intuitively and clearly understood. By using a mathematical model to characterize the connection relationship between each generation of affected production line unit parameters, the relationship between the production line unit parameters can be more intuitively and clearly understood. Further, in the present embodiment, the mathematical model is classified into two types, specifically, a mathematical model between two points and a mathematical model between multiple points. The mathematical model between the two points is used for representing the relation between two parameter nodes, the mathematical model between the two points comprises a discrete optimization model, a machine learning model, a finite element model and the like, and the relation of the structure parameters, the position parameters and the moving parameters of the processing assembly can be analyzed by using the model, for example, the product parameters can directly influence the structure sizes of the clamping jaw, the supporting seat, the fixing piece and other parts, and can also directly influence the moving distance, the moving speed and the like of the moving piece. The mathematical model between the multiple points is used to characterize the relationship between multiple parameter nodes, e.g., one parameter node has two downstream parameter nodes that may selectively affect only one of the downstream parameter nodes when changed.
Preferably, in step S32, the method specifically includes the following substeps:
S321, positioning the first generation affected line unit parameters in the units divided by the production line, and defining the positioned parameters as the nth generation affected line unit parameters;
Step S322, determining a parameter propagation direction, sequencing the parameters of the affected production line units of the nth generation according to the sequence, and determining the parameters of the affected production line units of the (n+1) th generation according to the parameter propagation direction;
step S323, repeatedly executing steps S321-S322 to obtain the parameters of each generation of affected production line units.
In this embodiment, in step S321, the line unit parameters affected by the product upgrade can be clearly defined by locating the first generation affected line unit parameters. In step S322, the type and position information of each of the nth-generation affected line unit parameters can be clearly understood by sorting the nth-generation affected line unit parameters. In addition, the parameter propagation direction can only be "same-latitude propagation" and "low-latitude to high-dimension propagation", and in this embodiment, the dimensions are sequentially divided into a production line-level dimension, a device-level dimension, a processing component-level dimension and a part-level dimension from high to low, where "same-latitude propagation" can be understood as that the affected parameter affects other parameters in the same dimension, and "low-latitude to high-dimension propagation" can be understood as that the affected parameter affects parameters in one dimension larger than those parameters.
Preferably, in step S322, the n-th generation affected production line unit parameters are ordered in sequence, and specifically includes the following sub-steps:
S3221, each parameter in the nth generation affected production line unit parameters is encoded to obtain the number of each parameter in the nth generation affected production line unit parameters, wherein the number is represented by an array [ a i,bi,ci ], a i represents the equipment number of the ith parameter, b i represents the component number of the ith parameter, and c i represents the part number of the ith parameter;
step S3222, determining a sequencing order rule, wherein the sequencing order rule is as follows:
When the parameters to be sequenced are parameters of different levels of units, sequencing is carried out according to a rule of 'part level parameters > component level parameters > equipment level parameters';
When the parameter to be ordered is the parameter of the same level unit, if the upper level unit to which the parameter to be ordered belongs is the same, the ordering is carried out according to the rule that the parameter of the same level unit is smaller in number and is preferentially arranged before;
When the parameters to be sequenced are parameters of the same unit, sequencing is carried out according to the rule of 'configuration parameter > type parameter > control type parameter > optimal type parameter';
And S3223, comparing the numbers of every two adjacent parameters in the nth generation affected production line unit parameters, and adopting a corresponding ordering sequence rule to finish ordering each parameter in the nth generation affected production line unit parameters.
Specifically, in step S3221, in one embodiment, when a i and c i are both 0 and b i is a non-0 integer, the parameter is a component-level parameter, and when a i is a non-0 integer and b i and c i are both 0, the parameter is a component-level parameter. By encoding each of the nth generation affected line unit parameters, it is advantageous to know where each of the nth generation affected line unit parameters is in the unit divided by the line. In step S3222, the ranking of the parameters is facilitated by determining a ranking order rule. To further illustrate, in one embodiment, when the parameter to be ordered is a parameter of the same level unit, if part 1 and part 2 both belong to component 1, part 1 is ordered in front, and if part 1 belongs to component 2 and part 2 belongs to component 1, part 2 is ordered in front. In step S3223, in one embodiment, if the numbers of two adjacent parameters to be compared are [ a 1,b1,c1 ] and [ a 2,b2,c2 ], a 1 and a 2 are compared first, if a 1 is smaller than a 2, the parameter with the number of [ a 1,b1,c1 ] is arranged in front of the parameter with the number of [ a 2,b2,c2 ], if a 1 is equal to a 2, b 1 and b 2 are compared, if b 1 is smaller than b 2, the parameter with the number of [ a 1,b1,c1 ] is arranged in front of the parameter with the number of [ a 2,b2,c2 ], if b 1 is equal to b 2, c 1 and c 2 are compared, if c 1 is smaller than c 2, the parameter with the number of [ a 1,b1,c1 ] is arranged in front of the parameter with the number of [ a 2,b2,c2 ], and if c 1 is equal to c 2, the "configuration parameter > type parameter" is arranged.
Preferably, in step S4, the types of the complex electromechanical product upgrades include product specification upgrades, process upgrades and process upgrades, wherein the process upgrades include reducing process steps and adding process steps, and the process upgrades include adding process components;
In step S5, the method specifically includes the following substeps:
When the type of the complex electromechanical product upgrade is product specification upgrade, mapping product specification upgrade knowledge to a production line parameter association network to analyze a product parameter as a production line parameter change starting point;
When the type of the complex electromechanical product upgrade is a reduction procedure, mapping knowledge of the reduction procedure to a production line parameter association network so as to analyze configuration parameters of a production line unit in the next procedure as a production line parameter change starting point;
when the type of the upgrade of the complex electromechanical product is an increasing procedure, mapping the knowledge of the increasing procedure to a production line parameter association network so as to analyze the configuration parameters of the production line units in the new increasing procedure as a production line parameter change starting point;
When the type of the complex electromechanical product upgrade is process upgrade, mapping process upgrade knowledge to a production line parameter association network to analyze configuration parameters of the newly added process components as a production line parameter change starting point.
In this embodiment, when a product specification of a complex electromechanical product needs to be upgraded, only the product parameters of the complex electromechanical product need to be changed as a starting point, and the change determines path propagation based on semantic analysis according to a parameter association link, namely an arrow guiding direction, so as to determine all the parameters needing to be changed. When complex electromechanical products need to be upgraded by reducing the process, the process is defined as deleting parameters in a process and all production line units within the process in a parameter correlation network, and directional arrows. The reduction process involves a change in the position of the line units between two adjacent processes, and the upgrade involves a reassembly between the line units, generally only involving the position of the line units, i.e. the relationship between the configuration parameters of the line units. The upgrade knowledge is mapped to the change of the configuration parameters of the production line unit in the subsequent process, and the configuration parameters of the production line unit in the subsequent process are changed according to the change of the configuration parameters of the production line unit as a starting point, and other parameters affected by the link analysis of the parameter association network are used. When complex electromechanical products need to be upgraded by adding processes, adding processes refers to adding parameters in a process and all production line units within a process in a parameter correlation network, and directional arrows. The upgrading knowledge is mapped into the change of the configuration parameters of the production line units in the new process, the configuration parameters of the production line units in the new process are changed as a starting point, and other parameters affected by the link analysis of the parameter association network are analyzed. When a complex electromechanical product requires a process upgrade, the process upgrade refers to adding a process kit between two adjacent processes. In the face of process upgrading, upgrading knowledge is mapped into the change of configuration parameters of the newly-added process components, the configuration parameters of the newly-added process components are subsequently changed according to the starting point, and other parameters affected are analyzed according to links of the parameter association network.
Preferably, in step S7, virtual modification is performed on the complex electromechanical product line in the digital twin platform according to the line modification scheme, so as to obtain a modified complex electromechanical product virtual line, which specifically includes the following substeps:
step S71, modeling a complex electromechanical product production line in a digital twin platform to obtain a complex electromechanical product production line model;
and S72, reconstructing a complex electromechanical product production line model according to a production line modification scheme to obtain a modified complex electromechanical product virtual production line.
In this embodiment, in step S71, by modeling the complex electromechanical product line in the digital twin platform, the structure of the complex electromechanical product line can be accurately replicated in the virtual scene, and a foundation is provided for the subsequent virtual modification. Further, in the modeling process, the complex electromechanical product line structure is classified according to the units divided by the line to form a tree-shaped hierarchical structure. In step S72, the complex electromechanical product line model is reconstructed in the virtual scene, and the running state of the modified complex electromechanical product line can be simulated, so as to verify the feasibility and effect of the line modification scheme.
Furthermore, functional units in various embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations of the above embodiments may be made by those skilled in the art within the scope of the invention.