CN114840178A - Process file generation method, device and equipment based on digital simulation platform - Google Patents
Process file generation method, device and equipment based on digital simulation platform Download PDFInfo
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- CN114840178A CN114840178A CN202210766274.6A CN202210766274A CN114840178A CN 114840178 A CN114840178 A CN 114840178A CN 202210766274 A CN202210766274 A CN 202210766274A CN 114840178 A CN114840178 A CN 114840178A
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Abstract
The application discloses a process file generation method, a device and equipment based on a digital simulation platform, wherein the method comprises the steps of obtaining production process data information of a target object; constructing production flow data corresponding to the target object based on the production process data information; responding to the grouping trigger instruction, and performing grouping processing on the production process data to obtain at least one group of target process sets corresponding to the target object; performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set; calling a preset statement conversion strategy, and performing statement analysis on step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch; and aiming at each target flow set, generating a process file corresponding to each target flow set based on the target result data set corresponding to each corresponding target flow branch.
Description
Technical Field
The present application relates to the field of digital simulation technologies, and in particular, to a method, an apparatus, and a device for generating a process file based on a digital simulation platform.
Background
In the application process of the digital twin technology of the automobile production line, before the off-line debugging stage, a PLC control program of the production line needs to be compiled. The current practice is as follows: carrying out process simulation in a digital platform (generally adopting CAPP software) by a digital simulation engineer, recording the action time sequence of the automobile production line in a manual table making mode after verification is finished, and transferring the action time sequence to the PLC engineer; the PLC engineer is familiar with the automobile production line process according to the table, if the problem that the PLC engineer does not understand exists, the PLC engineer needs to repeatedly communicate with the digital simulation engineer for confirmation, and after the PLC engineer knows the process completely, the PLC engineer compiles the automobile production line PLC control program.
According to the method, after the simulation engineer completes verification, the verification result needs to be manually output to the PLC engineer, meanwhile, a large amount of time and energy are consumed for communication with the PLC engineer, and errors are prone to occur in the communication.
Disclosure of Invention
In order to solve the technical problems, the application discloses a process file generation method based on a digital simulation platform, which can output a verification result on the digital simulation platform in a file form, can avoid the defects caused by manually weaving a time sequence table, and can effectively improve the compiling efficiency and accuracy of a PLC program by adopting the file produced by the application.
In order to achieve the above object, the present application provides a process file generating method based on a digital simulation platform, where the method includes:
acquiring production process data information of a target object;
constructing production flow data corresponding to the target object based on the production process data information;
responding to a grouping trigger instruction, and performing grouping processing on the production flow data to obtain at least one group of target flow sets corresponding to the target object, wherein the target flow sets comprise a plurality of flow nodes;
performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set;
calling a preset statement conversion strategy, and performing statement analysis on step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch;
and aiming at each target flow set, generating a process file corresponding to each target flow set based on a target result data set corresponding to each corresponding target flow branch.
In some embodiments, the performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set includes:
calling a preset branch algorithm, and calculating each flow node in the target flow set to obtain at least one group of flow initial branches corresponding to the target flow set;
responding to the label creating instruction, and generating label data corresponding to each flow initial branch;
acquiring an initial process node and a termination process node of each initial branch of the process;
and performing associated storage on the flow initial branch, the label data corresponding to the flow initial branch, and the initial flow node and the ending flow node of the flow initial branch to obtain a target flow branch.
In some embodiments, before invoking a preset statement conversion policy, and performing statement analysis on step description information corresponding to each flow node in the flow branch to obtain a target result data set corresponding to each target flow branch, the method further includes:
aiming at each target flow branch, acquiring an initial flow node and a termination flow node corresponding to the target flow branch;
and sequentially acquiring step description information corresponding to the initial flow node, a plurality of flow nodes between the initial flow node and the termination flow node, and a plurality of flow nodes between the initial flow node and the termination flow node.
In some embodiments, the invoking of the preset statement conversion policy performs statement analysis on step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch; the method comprises the following steps:
acquiring a node sequencing rule of each flow node in the target flow branch;
analyzing the sentence of the step description information sequence corresponding to each flow node based on the preset sentence conversion strategy and the node sequencing rule to obtain target result data corresponding to each flow node;
and determining the target result data corresponding to each flow node as a target result data set.
In some embodiments, the parsing is performed on the step description information sequence corresponding to each flow node based on the preset statement conversion policy and the node sorting rule to obtain target result data corresponding to each flow node: the method comprises the following steps:
acquiring a plurality of target devices related to the production process data information and corresponding relations between the target devices and the process nodes;
determining the target information type corresponding to the description information of each step according to the corresponding relation between each target device and each process node;
determining target statement conversion strategies corresponding to the target information types from the preset statement conversion strategies;
and for each step of description information, performing statement analysis processing on the step of description information based on the corresponding target statement conversion strategy to obtain target result data corresponding to each flow node.
In some embodiments, the generating, for each target process set, a process file corresponding to each target process set based on a target result data set corresponding to the corresponding target process branch includes:
for each target flow set, acquiring label data corresponding to each target flow branch;
sequencing the target result data sets corresponding to the target flow branches based on the label data to obtain sequencing results;
and sequencing the target result data sets corresponding to the target flow branches in sequence according to the sequencing result to obtain the process files corresponding to the target flow sets.
In some embodiments, before the obtaining the production process data information of the target object, the method further includes:
obtaining production permission information of a target object;
judging whether a target management device exists in the production permission information or not;
if yes, obtaining permission data of the target management device;
judging whether the permission data meet preset permission conditions or not;
and if so, triggering the step of acquiring the production process data information of the target object.
The application also provides a process file generation device based on the digital simulation platform, and the device comprises:
the acquisition module is used for acquiring production process data information of the target object;
the process construction module is used for constructing production step process data corresponding to the target object based on the production process data information;
the grouping processing module is used for responding to a grouping triggering instruction, carrying out grouping processing on the production flow data to obtain at least one group of target flow sets corresponding to the target object, wherein each target flow set comprises a plurality of flow nodes;
the calculation processing module is used for performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set;
the conversion module is used for calling a preset statement conversion strategy and performing statement analysis on the step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch;
and the file generation module is used for generating a process file corresponding to each target flow set based on the target result data set corresponding to each target flow branch.
The application also provides a process file generation device based on the digital simulation platform, which comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the process file generation method based on the digital simulation platform.
The present application further provides a computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the digital simulation platform-based process file generation method as described above.
The embodiment of the application has the following beneficial effects:
the application discloses a process file generation method based on a digital simulation platform, which comprises the following steps: the verification result on the digital simulation platform can be output in a file form, the defect caused by manual weaving of a time sequence table can be avoided, and the file produced by the method can effectively improve the compiling efficiency and accuracy of the PLC program.
Drawings
In order to more clearly illustrate the method, device and apparatus for generating a process file based on a digital simulation platform described in the present application, the drawings required for the embodiments will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a process file generation method based on a digital simulation platform according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a process flow data grouping provided by an embodiment of the present application;
fig. 3 is a schematic flowchart of a branch calculation planning method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a target flow branch obtained by performing calculation and planning on a target flow set according to an embodiment of the present application;
fig. 5 is a schematic flowchart of a sentence conversion method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a process file generation apparatus based on a digital simulation platform according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a process file generation device based on a digital simulation platform according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.
The cipher dog is also called cipher dog, and is one cipher tool for account number, cipher management, bank deposit cipher, software cipher, Internet cipher, etc.
PLCs, i.e., programmable logic controllers, are digital arithmetic-operating electronic systems designed specifically for use in industrial environments. It uses a programmable memory, in which the instructions for implementing logical operation, sequence control, timing, counting and arithmetic operation are stored, and utilizes digital or analog input and output to control various mechanical equipments or production processes.
At present, a simulation verification engineer needs to manually output a verification result to a PLC engineer based on a digital platform, and when the PLC engineer writes sub-PLC programs based on the verification structure, if the simulation verification result is directly converted into the PLC program, the simulation verification engineer needs to have deep research of technicians in various fields such as digital simulation, PLC programming and software development, so that the investment is large and the realization is difficult.
Based on the technical scheme, the process file based on the verification result is directly and automatically generated on the basis of the digital simulation platform, and the process file is directly output to a PLC engineer, so that the PLC engineer can generate a PLC program based on the process file in a one-key mode; the method can avoid the defect of manual communication and effectively improve the compiling efficiency and accuracy of the PLC program.
The process file generation method based on the digital simulation platform can be applied to the digital twin technology of the vehicle production line, specifically, simulation verification can be performed on the digital simulation platform, and the verification result is directly output in the form of the process file, so that a PLC program can be generated based on the file in a one-key mode subsequently, the compiling of the PLC program is further realized, and the compiling efficiency and accuracy of the program are improved.
Referring to fig. 1, which is a schematic flow chart illustrating a process file generation method based on a digital simulation platform according to an embodiment of the present application, the present specification provides the method operation steps as described in the embodiment or the flow chart, but based on the conventional method; or the inventive process may include additional or fewer steps. The step sequence listed in the embodiment is only one of the execution sequences of a plurality of steps, and does not represent the only execution sequence, and the process file generation method based on the digital simulation platform can be executed according to the method sequence shown in the embodiment or the attached drawings. Specifically, as shown in fig. 1, the method includes:
and S110, acquiring the production process data information of the target object.
It should be noted that, in the embodiment of the present application, the target object may be an apparatus that needs to be manufactured, such as a vehicle frame.
In this embodiment of the application, the production process data information may be production process data information associated with each production device generated based on relevant information of relevant production devices used by the target object in the production process; the related information of the production equipment can include information of the production equipment and function information thereof.
Taking a target object of production and manufacturing as a robot as an example; the relevant production devices used by the target object in the production process and the information corresponding to each production device may include, but are not limited to:
valve: the valve plate is used for controlling the valve plate, driving the clamp to move and the like; sensor: sensor detection, sensor signals, etc.; turntable: turntable movement, etc.; RollerBed _4P/RollerBed _2P (roller bed): a sled in position sensor; lifter (elevator): driving the roller bed to move up and down, and the like.
Specifically, the production process data information may be a process step written by a user based on production equipment for production and manufacturing of the target object; correspondingly, the production process data information is input into the digital simulation platform.
In the embodiment of the application, the target object which is generally manufactured is used for sale and use; based on this, before the simulation verification is performed on the production steps of the target object, the permission verification needs to be performed on the account information of the related functions of the target object, and correspondingly, before the production process data information of the target object is obtained, the judgment on the permission information of the account information of the target object is also included.
Obtaining production permission information of a target object;
in the embodiment of the present application, the production license information may include account information of the target object, a management device of the account information, and the like.
Judging whether a target management device exists in the production permission information or not;
in the embodiment of the present application, the target management apparatus may be an apparatus for performing management of account information; specifically, the target management device may be an external storage medium, where the external storage medium may be a dongle or other related storage medium.
After the production permission information of the target object is acquired, the production permission information can be transmitted to a processing terminal, specifically, the production permission information can be connected to a computer terminal through a USB (universal serial bus) and operated;
in the operation, if the target management device is detected, it can be determined that the target management device exists in the production permission information.
If yes, obtaining permission data of the target management device;
in the embodiment of the present application, the license data may include, but is not limited to, data in which the target management device is normally licensed and data in which the license is not normal.
Judging whether the permission data meet preset permission conditions or not;
in the embodiment of the present application, the preset permission condition may be a condition that the target management apparatus permits to be normal.
Specifically, if the permission data is data that the target management device permits to be normal, it may be determined that the permission data satisfies the preset permission condition.
And if so, triggering the step of acquiring the production process data information of the target object.
In the embodiment of the present application, if the permission data meets the preset permission condition, that is, under the condition that the target management device can normally permit, the simulation verification is performed on the digital simulation platform for the target object.
And S120, constructing production flow data corresponding to the target object based on the production process data information.
In the embodiment of the application, before the production process data corresponding to the target object is constructed, the flow chart control can be integrated on the digital simulation platform; so that the digital simulation platform can generate a flow chart based on the production process data information.
Specifically, the production process data is data corresponding to a flow chart generated based on the production process data information.
S130, responding to the grouping trigger instruction, grouping the production process data to obtain at least one group of target process sets corresponding to the target object, wherein the target process sets comprise a plurality of process nodes.
In an embodiment of the present application, the group trigger instruction may be generated based on a trigger operation external to the digital simulation platform.
Specifically, the target process set may include a plurality of process nodes; each process node corresponds to the description information of one operation step.
In the embodiment of the present application, the production flow data may include a plurality of sets of flow data for performing production and manufacturing on different portions of the target object; specifically, grouping is performed according to flow data corresponding to each part of the target object; correspondingly, each set of process data may form a set of target process sets.
Specifically, as shown in fig. 2, a schematic grouping diagram of production process data provided in an embodiment of the present application is shown.
Specifically, fig. 2 illustrates an exemplary grouping method.
And S140, based on a preset branch algorithm, performing branch calculation processing on each flow node in the target flow set to obtain at least one group of target flow branches corresponding to the target flow set.
In the embodiment of the application, the preset branch algorithm may be a rule algorithm pre-integrated on the digital simulation platform; so that the digital simulation platform can plan the branches of the target flow set; specifically, the preset branch algorithm may be a branch planning algorithm that is set based on the writing mode of the PLC program and is adapted to the writing of the PLC program; the target flow branches calculated based on the branch algorithm can be directly used after being imported into a PLC program and are not required to be processed.
Specifically, each target flow set may be calculated to plan at least one group of target flow branches.
In the embodiment of the present application, as shown in fig. 3, a schematic flow chart of a branch calculation planning method provided in the embodiment of the present application is shown; specifically, the following is given.
S310, calling a preset branch algorithm, and performing calculation processing on each flow node in the target flow set to obtain at least one group of flow initial branches corresponding to the target flow set.
In the embodiment of the present application, the flow initial branch may include at least one flow node; correspondingly, each group of flow initial branches is a flow line of the target flow set.
S320, responding to the label creating instruction, and generating label data corresponding to each flow initial branch;
in the embodiment of the application, after the flow initial branches are obtained, label data is created for each flow initial branch.
Specifically, the tag data may be label data; that is, the numbering process is performed for each set of initial branches of the flow, such as 1, 2, 3, 4, 5, etc.
S330, acquiring an initial process node and a termination process node of each initial branch of the process;
in the embodiment of the present application, based on the initial flow branch obtained by calculation, the initial flow node and the termination flow node can be obtained by calculation. The initial process node, the termination process node, and each process node between the initial process node and the termination process node are connected in sequence along the flow direction between the initial process node and the termination process node.
S340, the label data corresponding to the initial flow branch, the initial flow node and the ending flow node of the initial flow branch are stored in a correlation mode to obtain the target flow branch.
In the embodiment of the application, label data corresponding to the flow initial branch and an initial flow node and a termination flow node of the flow initial branch are stored in an associated manner, so that a target flow branch can be obtained; correspondingly, the target flow branch includes a starting flow node, an ending flow node and label information thereof.
In the embodiment of the present application, as shown in fig. 4, a schematic structural diagram of a target flow branch obtained by performing calculation and planning on a target flow set according to the embodiment of the present application is shown.
Specifically, the left diagram in fig. 4 shows a target flow set; the right diagram in FIG. 4 shows the target flow branches included in the target flow set; for example, in the right diagram of fig. 4, it can be seen that target flow branches include target flow branch 1, target flow branch 2, target flow branch 3, target flow branch 4, and target flow branch 5; each target flow set branch can display the initial flow node, the termination flow node and the label information thereof.
In some embodiments, at least one group of target flow branches may include the longest flow line in the target flow set, that is, a flow node corresponding to the start point and a flow node corresponding to the end point in the target flow set.
S150, calling a preset statement conversion strategy, and performing statement analysis on the step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch.
In the embodiment of the present application, the preset statement conversion policy may be a statement parsing method formulated according to relevant information of relevant production equipment used by the target object in the production process.
Specifically, each production device involved in the production process of the target object corresponds to different sentence transformation rules.
Specifically, the step description information corresponding to each process node may be analyzed based on the fact that the step description information relates to a statement conversion rule corresponding to the production equipment, so as to obtain an analysis result.
Specifically, when performing statement conversion, analysis processing may be performed in sequence according to the sequence of each flow node in the target flow branch, and analysis results may be output in sequence.
In the embodiment of the application, before performing statement analysis on the step description information corresponding to each flow node in the target flow branch, the method further comprises a step of acquiring the step description information corresponding to each flow node in the target flow branch; specifically, the following is made.
Aiming at each target flow branch, acquiring an initial flow node and a termination flow node corresponding to the target flow branch;
and sequentially acquiring step description information corresponding to the initial flow node, a plurality of flow nodes between the initial flow node and the termination flow node, and a plurality of flow nodes between the initial flow node and the termination flow node.
In the embodiment of the present application, the step description information corresponding to each flow node in the target flow branch may be sequentially obtained according to the arrangement order of each flow node in the target flow branch.
Specifically, the arrangement sequence of the process nodes may be from the initial process node, along the flow direction between the initial process node and the termination process node, sequentially ordered until the termination process node; the arrangement sequence of each process node can be obtained.
In the embodiment of the present application, as shown in fig. 5, a schematic flow diagram of a sentence conversion method provided in the embodiment of the present application is shown; specifically, the following is made.
S510, obtaining a node sequencing rule of each process node in the target process branch;
in the embodiment of the application, the node sorting rule of each flow node is determined based on the starting flow node and the ending flow node in the target flow branch.
Specifically, the node sorting rule may be obtained by using the initial flow node as a starting point and the end flow node as an end point, and arranging other flow nodes in sequence according to the flow direction between the initial flow node and the end flow node.
S520, performing statement analysis on the step description information sequence corresponding to each flow node based on a preset statement conversion strategy and a node sorting rule to obtain target result data corresponding to each flow node;
in the embodiment of the application, sentence analysis can be sequentially performed from the initial process node to the end process node according to the node sorting rule of each process node, and target result data corresponding to each process node can be obtained.
In the embodiment of the present application, when performing statement analysis on the step description information corresponding to each flow node, the following method may be adopted.
Acquiring a plurality of target devices associated with the production process data information and corresponding relations between the target devices and the process nodes;
in this embodiment, the multiple target devices associated with the production process data information may be related production devices used by the target object in the production process.
Specifically, the corresponding relationship between the target device and the process node may be an association relationship between the target device and the process node, which is established based on the target device involved in the step description information corresponding to the process node.
And determining the target information type corresponding to the description information of each step according to the corresponding relation between each target device and each process node.
In the embodiment of the present application, the target information type may be a type to which step description information corresponding to the target device determined based on the type of the target device belongs.
Specifically, the target information type may be an equipment item corresponding to the step description information, where the equipment item may include an item name + a workstation + a station-a release.
And determining target statement conversion strategies corresponding to the target information types from the preset statement conversion strategies.
In the embodiment of the present application, the preset statement conversion policy may include a plurality of target statement conversion policies; correspondingly, each target device corresponds to one target statement conversion strategy.
And for each step of description information, performing statement analysis processing on the step of description information based on the corresponding target statement conversion strategy to obtain target result data corresponding to each flow node.
In this embodiment of the present application, the target result data may be an action name corresponding to a corresponding flow node.
In some embodiments, if the step description information is "rolling machine clamp Y01 is closed", the corresponding target device is Valve, and then according to the target statement conversion policy corresponding to the Valve, the target information type corresponding to the step description information may be determined, that is, the corresponding device item may be EX11BSL020+ JG 01-Y1; the target result data obtained by analysis can be 'clamp clamping'; if the step description information is that "the roller machine clamp Y01 is open", the corresponding target device is a Valve, and subsequently, according to a target statement conversion strategy corresponding to the Valve, the target information type corresponding to the step description information can be determined, that is, the corresponding device item can be EX11BSL020+ JG 01-Y1; the target result data obtained by the analysis may be "clamp open".
S530, determining the target result data corresponding to each process node as a target result data set.
In the embodiment of the application, each group of target flow branches corresponds to one target result data set.
And S160, aiming at each target process set, generating a process file corresponding to each target process set based on the target result data set corresponding to each corresponding target process branch.
In the embodiment of the present application, each set of target process sets includes at least one target result data.
Specifically, for each target process set, the target result data sets corresponding to each group of target process branches included in the target process set may be all output to the target file, so as to obtain the process file corresponding to the target process set.
Specifically, the process file may be an Excel file; correspondingly, before the process file is generated, an Excel toolkit can be integrated on the digital simulation platform, so that when a target result data set is received, the corresponding process file is generated.
In this embodiment of the application, for each target process set, generating a process file corresponding to each target process set based on a target result data set corresponding to each corresponding target process branch may include the following steps.
For each target flow set, acquiring label data corresponding to each target flow branch;
sequencing the target result data sets corresponding to the target flow branches based on the label data to obtain sequencing results;
in the embodiment of the application, tag data corresponding to one target flow branch is used as target result data set header data, and the target result data corresponding to each flow node in the target flow branch all adopt the same header data.
Specifically, if the tag data is 1, 2, 3, 4, and 5; the target result data set may be ordered in order of 1, 2, 3, 4, and 5.
And sequencing the target result data sets corresponding to the target flow branches in sequence according to the sequencing result to obtain the process files corresponding to the target flow sets.
In some embodiments, before sequentially sorting the target result data sets corresponding to the target process branches, when the target result data sets are obtained, importing the target result data sets into a target file; and then sequencing each target result data set imported into the target file in sequence according to the sequencing result of the tag data.
In other embodiments, taking generation of a target result data set corresponding to one target flow branch as an example, for example, taking tag data as 1, that is, taking the target flow branch corresponding to branch 1 as an example, step description information corresponding to each flow node in the target flow branch is sequentially analyzed through a preset statement conversion policy to obtain target result data corresponding to each step description information corresponding to each flow node, and each target result data is imported into a target file and is sequentially arranged according to a sorting rule to obtain the target result data set.
As can be seen from the embodiments of the process file generation method, device and apparatus based on the digital simulation platform provided by the present application, the embodiments of the present application acquire production process data information of a target object; constructing production flow data corresponding to the target object based on the production process data information; responding to a grouping trigger instruction, and performing grouping processing on the production flow data to obtain at least one group of target flow sets corresponding to the target object, wherein the target flow sets comprise a plurality of flow nodes; performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set; calling a preset statement conversion strategy, and performing statement analysis on step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch; generating a process file corresponding to each target flow set based on a target result data set corresponding to each target flow branch; by utilizing the technical scheme provided by the embodiment of the specification, the verification result on the digital simulation platform can be output in a file form, the defect caused by manually weaving a time sequence table can be avoided, and the writing efficiency and accuracy of the PLC program can be effectively improved by adopting the file produced by the application.
The embodiment of the present application further provides a process file generation device based on a digital simulation platform, as shown in fig. 6, which is a schematic structural diagram of the process file generation device based on the digital simulation platform provided in the embodiment of the present application; specifically, the device comprises:
an obtaining module 610, configured to obtain production process data information of a target object;
a process construction module 620, configured to construct, based on the production process data information, production step process data corresponding to the target object;
a grouping processing module 630, configured to perform grouping processing on the production process data in response to a grouping trigger instruction, so as to obtain at least one group of target process sets corresponding to the target object, where each target process set includes multiple process nodes;
a calculation processing module 640, configured to perform branch calculation processing on each flow node in the target flow set based on a preset branch algorithm, so as to obtain at least one group of target flow branches corresponding to the target flow set;
a conversion module 650, configured to invoke a preset statement conversion policy, perform statement analysis on the step description information corresponding to each flow node in the target flow branch, and obtain a target result data set corresponding to each target flow branch;
the file generating module 660 is configured to generate, for each target process set, a process file corresponding to each target process set based on a target result data set corresponding to each corresponding target process branch.
In the embodiment of the present application, the calculation processing module 640 includes:
the first processing unit is used for calling a preset branch algorithm, calculating each flow node in the target flow set and obtaining at least one group of flow initial branches corresponding to the target flow set;
the label data generating unit is used for responding to the label creating instruction and generating label data corresponding to each flow initial branch;
a first obtaining unit, configured to obtain a starting process node and a terminating process node of each of the initial branches of the processes;
and the storage unit is used for performing associated storage on the flow initial branch, the label data corresponding to the flow initial branch, and the initial flow node and the ending flow node of the flow initial branch to obtain a target flow branch.
In the embodiment of the present application, the method further includes:
the node acquisition module is used for acquiring an initial flow node and a termination flow node corresponding to each target flow branch;
a first information obtaining module, configured to sequentially obtain step description information corresponding to the initial flow node, the plurality of flow nodes between the initial flow node and the terminating flow node, and the plurality of flow nodes between the initial flow node and the terminating flow node, and the terminating flow node.
In the embodiment of the present application, the conversion module 650 includes:
a second obtaining unit, configured to obtain a node ordering rule of each flow node in the target flow branch;
the analysis unit is used for carrying out statement analysis on the step description information sequence corresponding to each flow node based on the preset statement conversion strategy and the node sequencing rule to obtain target result data corresponding to each flow node;
and the determining unit is used for determining the target result data corresponding to each flow node as a target result data set.
In an embodiment of the present application, the parsing unit includes:
the acquisition subunit is used for acquiring a plurality of target devices associated with the production process data information and corresponding relations between each target device and each process node;
a first determining subunit, configured to determine, according to a correspondence between each target device and each process node, a target information type corresponding to each piece of step description information;
the second determining subunit is used for determining a target statement conversion strategy corresponding to each target information type from the preset statement conversion strategies;
and the analysis subunit is used for carrying out statement analysis processing on the step description information based on the corresponding target statement conversion strategy aiming at each step description information to obtain target result data corresponding to each flow node.
In this embodiment of the present application, the file generation module 660 includes:
for each target flow set, acquiring label data corresponding to each target flow branch;
sequencing the target result data sets corresponding to the target flow branches based on the label data to obtain sequencing results;
and sequencing the target result data sets corresponding to the target flow branches in sequence according to the sequencing result to obtain the process files corresponding to the target flow sets.
In the embodiment of the present application, the method further includes:
the second information acquisition module is used for acquiring the production permission information of the target object;
a first judgment module, configured to judge whether a target management device exists in the production permission information;
the data acquisition module is used for acquiring the permission data of the target management device if the target management device exists in the production permission information;
the second judging module is used for judging whether the permission data meet preset permission conditions or not;
and the triggering module is used for triggering the step of acquiring the production process data information of the target object if the permission data meets the preset permission conditions.
It should be noted that the device and method embodiments in the device embodiment are based on the same inventive concept.
The embodiment of the application provides a process file generation device based on a digital simulation platform, and the device comprises a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the process file generation method based on the digital simulation platform according to the embodiment of the method.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and data processing by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
Further, fig. 7 shows a schematic hardware structure of an electronic device for implementing the digital simulation platform based process file generation method provided in the embodiment of the present application, where the electronic device may participate in constituting or including the digital simulation platform based process file generation apparatus provided in the embodiment of the present application. As shown in fig. 7, the electronic device 70 may include one or more (shown as 702a, 702b, … …, 702 n) processors 702 (the processors 702 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 704 for storing data, and a transmission device 706 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 7 is only an illustration and is not intended to limit the structure of the electronic device. For example, electronic device 70 may also include more or fewer components than shown in FIG. 7, or have a different configuration than shown in FIG. 7.
It should be noted that the one or more processors 702 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the electronic device 70 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 704 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the process file generation method based on the digital simulation platform described in the embodiment of the present application, and the processor 702 executes various functional applications and data processing by running the software programs and modules stored in the memory 704, so as to implement the above-mentioned process file generation method based on the digital simulation platform. The memory 704 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 704 may further include memory located remotely from the processor 702, which may be connected to the electronic device 70 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 706 is used for receiving or sending data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the electronic device 70. In one example, the transmission device 706 includes a network adapter (NIC) that can be connected to other network devices through a base station so as to communicate with the internet. In one embodiment, the transmission device 706 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the electronic device 70 (or mobile device).
Embodiments of the present application further provide a computer-readable storage medium, where the storage medium may be disposed in an electronic device to store at least one instruction or at least one program for implementing a digital simulation platform-based process file generation method in the method embodiments, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the digital simulation platform-based process file generation method provided in the method embodiments.
Alternatively, in this embodiment, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method provided in the various alternative implementations described above.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and electronic apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above disclosure is only one preferred embodiment of the present application, and certainly does not limit the scope of the present application, which is therefore intended to cover all modifications and equivalents of the claims.
Claims (10)
1. A process file generation method based on a digital simulation platform is characterized by comprising the following steps:
acquiring production process data information of a target object;
constructing production flow data corresponding to the target object based on the production process data information;
responding to a grouping trigger instruction, and performing grouping processing on the production flow data to obtain at least one group of target flow sets corresponding to the target object, wherein the target flow sets comprise a plurality of flow nodes;
performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set;
calling a preset statement conversion strategy, and performing statement analysis on step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch;
and aiming at each target flow set, generating a process file corresponding to each target flow set based on a target result data set corresponding to each corresponding target flow branch.
2. The method for generating a process file based on a digital simulation platform according to claim 1, wherein the step of performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set comprises:
calling a preset branch algorithm, and calculating each flow node in the target flow set to obtain at least one group of flow initial branches corresponding to the target flow set;
responding to the label creating instruction, and generating label data corresponding to each flow initial branch;
acquiring an initial process node and a termination process node of each initial branch of the process;
and performing associated storage on the flow initial branch, the label data corresponding to the flow initial branch, and the initial flow node and the ending flow node of the flow initial branch to obtain a target flow branch.
3. The method for generating a process file based on a digital simulation platform according to claim 2, wherein before invoking a preset statement conversion policy, performing statement analysis on step description information corresponding to each flow node in the flow branch to obtain a target result data set corresponding to each target flow branch, the method further comprises:
aiming at each target flow branch, acquiring an initial flow node and a termination flow node corresponding to the target flow branch;
and sequentially acquiring step description information corresponding to the initial flow node, a plurality of flow nodes between the initial flow node and the termination flow node, and a plurality of flow nodes between the initial flow node and the termination flow node.
4. The method for generating a process file based on a digital simulation platform according to claim 1, wherein a preset statement conversion strategy is called to perform statement analysis on step description information corresponding to each process node in the target process branch to obtain a target result data set corresponding to each target process branch; the method comprises the following steps:
acquiring a node sequencing rule of each flow node in the target flow branch;
performing statement analysis on the step description information sequence corresponding to each flow node based on the preset statement conversion strategy and the node sorting rule to obtain target result data corresponding to each flow node;
and determining the target result data corresponding to each flow node as a target result data set.
5. The process file generation method based on the digital simulation platform as claimed in claim 4, wherein the step description information sequence corresponding to each process node is parsed based on the preset statement conversion strategy and the node sorting rule to obtain the target result data corresponding to each process node: the method comprises the following steps:
acquiring a plurality of target devices associated with the production process data information and corresponding relations between the target devices and the process nodes;
determining the target information type corresponding to the description information of each step according to the corresponding relation between each target device and each process node;
determining target statement conversion strategies corresponding to the target information types respectively from the preset statement conversion strategies;
and for each step of description information, performing statement analysis processing on the step of description information based on the corresponding target statement conversion strategy to obtain target result data corresponding to each flow node.
6. The method as claimed in claim 1, wherein the generating a process file corresponding to each target process set based on the target result data set corresponding to the corresponding target process branch for each target process set comprises:
for each target flow set, acquiring label data corresponding to each target flow branch;
sequencing the target result data sets corresponding to the target flow branches based on the label data to obtain sequencing results;
and sequencing the target result data sets corresponding to the target flow branches in sequence according to the sequencing result to obtain the process files corresponding to the target flow sets.
7. The method for generating a process file based on a digital simulation platform according to claim 1, further comprising, before the obtaining the production process data information of the target object:
obtaining production permission information of a target object;
judging whether a target management device exists in the production permission information or not;
if yes, obtaining permission data of the target management device;
judging whether the permission data meet preset permission conditions or not;
and if so, triggering the step of acquiring the production process data information of the target object.
8. A process file generation device based on a digital simulation platform is characterized by comprising the following steps:
the acquisition module is used for acquiring production process data information of the target object;
the process construction module is used for constructing production step process data corresponding to the target object based on the production process data information;
the grouping processing module is used for responding to a grouping triggering instruction, carrying out grouping processing on the production flow data to obtain at least one group of target flow sets corresponding to the target object, wherein each target flow set comprises a plurality of flow nodes;
the calculation processing module is used for performing branch calculation processing on each flow node in the target flow set based on a preset branch algorithm to obtain at least one group of target flow branches corresponding to the target flow set;
the conversion module is used for calling a preset statement conversion strategy and performing statement analysis on the step description information corresponding to each flow node in the target flow branch to obtain a target result data set corresponding to each target flow branch;
and the file generation module is used for generating a process file corresponding to each target flow set based on the target result data set corresponding to each target flow branch.
9. A process file generation device based on a digital simulation platform, which comprises a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executed to realize the process file generation method based on the digital simulation platform according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded by a processor and executes the method for generating a process file based on a digital simulation platform according to any one of claims 1 to 7.
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