CN112365192A - Method for establishing flow model in manufacturing execution system, electronic device and method for analyzing flow model - Google Patents

Method for establishing flow model in manufacturing execution system, electronic device and method for analyzing flow model Download PDF

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CN112365192A
CN112365192A CN202011388992.1A CN202011388992A CN112365192A CN 112365192 A CN112365192 A CN 112365192A CN 202011388992 A CN202011388992 A CN 202011388992A CN 112365192 A CN112365192 A CN 112365192A
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徐浩
孙健
金尖峰
罗香
龚明
张来
王江南
温波
赵阳
陈冠君
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Suzhou Zedaxingbang Medical Technology Co ltd
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Abstract

The application discloses a method for establishing a flow model in a manufacturing execution system, electronic equipment and a method for analyzing the flow model, wherein the method for establishing the flow model in the manufacturing execution system comprises the following steps of: determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system; respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label; and generating the process model according to the node labels corresponding to all the process nodes. The method and the device for analyzing the flow model reduce development cost greatly, enable developers to have a quick operation, shorten time consumption for establishing the flow model, and improve analysis efficiency when the flow model is analyzed.

Description

Method for establishing flow model in manufacturing execution system, electronic device and method for analyzing flow model
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method for establishing a flow model in a manufacturing execution system, an electronic device, and a method for analyzing a flow model.
Background
A Manufacturing Execution System (MES) is a solution for managing an information system in a product generation process, can reflect the condition of a production field in time through data, establishes a bridge between a management layer and production, and is a link for realizing information integration of the manufacturing industry.
However, various MES systems are available on the market, and there are problems that development cost is high, development personnel have slow hands, time is long, and analysis efficiency is low when process modeling is performed.
Disclosure of Invention
The present application aims to provide a method for establishing a flow model in a manufacturing execution system, an electronic device, and a method for analyzing a flow model, so as to solve or alleviate the technical problems in the prior art.
In a first aspect, the present application provides a method for building a flow model in a manufacturing execution system, the method comprising:
determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system;
respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label;
and generating the process model according to the node labels corresponding to all the process nodes.
Optionally, in an embodiment of the application, the process node is a specific process in the production process of the product, and the configuration information at least includes parameters required when the specific process runs.
Optionally, in an embodiment of the present application, the configuration information further includes names of corresponding process nodes, and the parameters required when the specific process runs include an authority control parameter.
Optionally, in an embodiment of the present application, the tag is a node tag written in an extensible markup language.
Optionally, in an embodiment of the present application, the configuration information of the process node is stored in an attribute of a tag corresponding to the process node.
Optionally, in an embodiment of the present application, generating the process model according to node tags corresponding to all process nodes includes: and writing the node labels of all the process nodes into an extensible markup file, and taking the extensible markup file as the process model.
In a second aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores computer-executable instructions, and the processor executes the computer-executable instructions to perform the method according to any embodiment of the present application.
In a third aspect, embodiments of the present application provide a computer storage medium having computer-executable instructions stored thereon, where the computer-executable instructions, when executed, perform a method according to any of the embodiments of the present application.
In a fourth aspect, an embodiment of the present application provides a method for analyzing a process model, which is used to analyze the process model formed by the method in any embodiment of the present application, where the method for analyzing the process model includes:
analyzing the process model formed by the method of any embodiment of the application to obtain a data storage structure of each process node;
and collecting real-time data of each process node and storing the real-time data according to the data storage structure.
In a fifth aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer software program, and the processor is configured to execute the computer software program to perform the following steps:
determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system;
respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label;
and generating the process model according to the node labels corresponding to all the process nodes.
In the technical scheme provided by the application, the process nodes involved in the production process of the product and the configuration information of each process node are determined, and the process nodes involved in the production process of the product are added into a manufacturing execution system; node labels are respectively defined for each process node added into the manufacturing execution system, and the configuration information of each process node is stored in the corresponding node label, so that the development cost is reduced, developers can quickly develop, the time consumption for establishing a process model is shortened, and the analysis efficiency is improved when the process model is analyzed.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a flowchart illustrating a method for creating a flow model in a manufacturing execution system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an analysis method of a process model according to an embodiment of the present application;
fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In the technical scheme provided by the application, the process nodes involved in the production process of the product and the configuration information of each process node are determined, and the process nodes involved in the production process of the product are added into a manufacturing execution system; node labels are respectively defined for each process node added into the manufacturing execution system, and the configuration information of each process node is stored in the corresponding node label, so that the development cost is reduced, developers can quickly develop, the time consumption for establishing a process model is shortened, and the analysis efficiency is improved when the process model is analyzed.
FIG. 1 is a flowchart illustrating a method for creating a flow model in a manufacturing execution system according to an embodiment of the present disclosure; as shown in fig. 1, the method includes:
s101, determining process nodes involved in a product production process and configuration information of each process node;
in this embodiment, the process nodes and the configuration information of each process node may be stored in a data table, so that when step S101 is executed, the data table is directly analyzed, and the process nodes and the configuration information of each process node involved in the production process of the product are obtained.
Alternatively, in other embodiments, the process nodes and the configuration information of each process node may be stored in a binary tree, the process nodes correspond to the nodes in the binary tree one to one and store the corresponding configuration information, the relationship between the process parent and child nodes in the binary tree between two process nodes having a chronological order, and the earlier process node executed in the production process is about close to the leaf node of the binary tree or directly used as the leaf node. Therefore, in performing step S101, the flow nodes involved in obtaining the product production process and the configuration information of each flow node can be obtained from the binary tree directly along the direction of the leaf node of the binary tree toward the root node.
Compared with a list mode, the flow nodes and the corresponding configuration information are stored in a binary tree mode, and a fast data query speed can be guaranteed when the step S101 is executed.
Optionally, in an example, the process node is a specific process in the production process of the product, and the configuration information at least includes parameters required when the specific process runs.
Optionally, in an example, the configuration information further includes a name of a corresponding process node, and the parameters required when the specific process runs include an authority control parameter.
In this embodiment, because the configuration information includes the names of the process nodes, the process nodes of the same type can be accurately distinguished by the names of the process nodes in the configuration information. In addition, because the configuration information also includes parameters (such as permission control parameters and the like) required by the running of the specific process, the control parameters of the running of the specific process can be ensured to be directly obtained from the configuration information without accessing the memory of the host, thereby improving the rapidity and ensuring the safety of the host.
S102, adding flow nodes related in the production process of the product into a manufacturing execution system;
in this embodiment, if the manufacturing execution system includes a flow designer, the flow nodes involved in the production process of the product may be added to the flow designer, and the corresponding flow nodes, such as the extraction, mixing, and weighing steps, may be already made into general flow nodes and may be directly used.
S103, respectively defining a node label for each process node added into the manufacturing execution system;
in the implementation, when the process nodes involved in the production process of the product are added into the process designer, the process designer generates a section of XML text content for each process node according to the association relationship (sequence, parallel process and the like) of the process nodes, collects the node tags corresponding to the corresponding process nodes in the XML text content, and synthesizes the XML text content corresponding to all the process nodes into a complete XML file according to the association relationship, so that the development cost is reduced, developers can quickly find the best way, the time consumption for building the process model is shortened, and the analysis efficiency is improved when the XML text content is analyzed.
Further, a tag table is stored in the flow designer in advance, and node tags of flow nodes are stored in the tag table, so that when the XML text content is generated, the node tags are obtained from the tag table by comparing the types of the flow nodes. In the label table, the flow nodes of the same type have the same node labels, so that the XML file structure is very clear in the XML text generated by combining the contents of a plurality of XML texts, the development cost is reduced, developers can quickly use the XML file, the time consumption for establishing a flow model is shortened, and the analysis efficiency is improved when the XML file is analyzed.
S104, storing the configuration information of each flow node in a corresponding node label;
optionally, in an embodiment of the present application, the configuration information of the process node is stored in an attribute of a tag corresponding to the process node.
In this embodiment, in the process designer, configuration information of each process node is designed in advance, so that a designer can flexibly configure the process node. Therefore, in this embodiment, the process designer obtains the configuration information of each process node in a scanning manner, and matches the corresponding configuration information with the format of xml syntax format, and splices the configuration information under the corresponding node label, if the extraction node configures the designated account admin of the operator, then the xml format is formed as follows:
<COLLECT auth=”admin”>
by the method, each node label only stores the configuration information of the node label, the structure is clear when the process model file is analyzed subsequently, the configuration information of each node can be directly acquired under the label, and confusion is avoided.
And S105, generating the process model according to the node labels corresponding to all the process nodes.
Optionally, in an embodiment of the present application, generating the process model according to node tags corresponding to all process nodes includes: and writing the node labels of all the process nodes into an extensible markup file, and taking the extensible markup file as the process model.
In this embodiment, in the process designer, one component is configured for each process node, where only the starting component and several other non-starting components (defined according to the type of the process node) are configured, so that when the process model is generated, starting from the starting component, the tail end of the previous component is connected to the head end of the next component, which represents the execution order of the components, and further represents the association relationship between the corresponding process nodes. When the flow designer generates the flow model file, each time a component is scanned, an XML file of the flow node corresponding to the component is obtained, where the XML file includes configuration information of the flow node, and the configuration information is loaded into the XML file, for example, by way of piecing together. And forms a model that conforms to the XML semantics for storage. When the model file is saved, the model file is scanned from the [ start ] component and forms a model file that conforms to xml semantics. If the [ start ] component is scanned, a piece of xml is generated at the same time, and the tag name of the piece of xml is initial, as follows:
<initial/>
this xml corresponds to the [ start ] component
After the configuration of the starting component is completed, the flow designer scans the next component along the logic connecting line at the tail end of the starting component, acquires the configuration information of the flow node corresponding to the component, and merges the configuration information into the XML file corresponding to the flow node for summarizing, if the name, the execution authority and other information are configured by the extraction component (COLLECT), the merged XML file is as follows:
< colour id KB5UNGNIOSDFGNASMV8593, auth admin, task extraction node/>
The above process is repeated continuously, when a component is scanned, no next component is found to be connected with the component, which indicates that the whole scanning is finished, and the flow designer generates a flow model according to all the xml files which are just pieced together.
In this embodiment, when there are many process nodes, the corresponding components that exist can be ensured, and through the above mode of gradually scanning the components, the components do not need to occupy too much memory, and scanning one by one does not cause component missing scanning, and the process nodes can not be omitted, thereby ensuring the integrity of the generated process model.
Optionally, in an embodiment of the present application, the tag is a node tag written in an extensible markup language.
Alternatively, tags written in HTML, JSON, etc. languages may be used in other embodiments.
HTML (hypertext markup language) is the same as XML and belongs to a markup language, but HTML does not have expandability, XML is an original markup language and can be used for defining new tags, and the requirement of the system is met.
Compared with the node tag of the XML language, JSON (JavaScript Object Notification), the node tag readability of the language is weaker.
For example, an extraction node is also generated, and the XML is generated as follows:
< sample id ═ K5VHNGQNSOFASF323 auth ═ admin task ═ extraction task > </sample >
And JSON behaves as follows:
{
name:COLLECT,
Id:K5VHNGQNSOFASF323,
Auth:admin,
task extraction Task
}
It can be seen from the above comparison that the name of the JSON label is placed under the name attribute, and in the XML label, the name is directly used as the label name, and when the program analyzes the JSON, the name attribute value needs to be analyzed first to find the name of the label, which is tedious in steps and high in resource overhead.
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores computer-executable instructions, and the processor executes the computer-executable instructions to perform the method according to any embodiment of the present application.
Embodiments of the present application provide a computer storage medium, on which computer-executable instructions are stored, and when the computer-executable instructions are executed, the method according to any embodiment of the present application is executed.
Fig. 2 is a schematic structural diagram of an analysis method of a process model according to an embodiment of the present application; as shown in fig. 2, the analysis method provided in this embodiment is used for analyzing a process model formed by the method in any embodiment of the present application, and the analysis method of the process model includes:
s201, analyzing a process model formed by the method in any embodiment of the application to obtain a data storage structure of each process node;
s202, collecting real-time data of each process node and storing the real-time data according to the data storage structure.
In this embodiment, a program object of a linked list structure is first obtained by analyzing a process model formed by the method according to any embodiment of the present application, where the program object includes a plurality of linked list nodes, and the sequence of the plurality of linked list nodes corresponds to the sequence of the process nodes in the process model one to one, so that the configuration information of each process node is included in the corresponding linked list node, and the linked list node is used as a data storage structure of the corresponding process node.
Specifically, the method includes the steps of firstly, starting from an initial linked list point, finding a next linked list node along a subsequent pointer of the initial linked list node, reading configuration information of the linked list node, such as a task name, a task page and an execution authority, writing the configuration information into a task table of a database, reading and displaying the configuration information in the task page when a reading request is obtained, filling acquired real-time data in the task page and storing the real-time data in the linked list node, if equipment temperature values and pressure values obtained through observation are filled, clicking a submit button after the completion of filling, submitting the data to a background, storing the filled data after the background receives the data, and marking the task as completed. And then, writing the configuration information of the next linked list node into the task table, so that when the reading request is obtained again, the configuration information is read and displayed in the task page, and the real-time data of the corresponding process node is conveniently filled in the task page and stored in the linked list node, thereby realizing the interaction between the process model and field operators.
An embodiment of the present application provides an electronic device, where the electronic device includes a memory and a processor, where the memory stores a computer software program, and the processor is configured to run the computer software program to perform the following steps:
determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system;
respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label;
and generating the process model according to the node labels corresponding to all the process nodes.
Fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application; as shown in fig. 3, the hardware structure of the electronic device may include: a processor 301, a communication interface 302, a computer-readable medium 303, and a communication bus 304;
the processor 301, the communication interface 302 and the computer readable medium 303 are communicated with each other through a communication bus 304;
optionally, the communication interface 302 may be an interface of a communication module, such as an interface of a GSM module;
the processor 301 may be specifically configured to run an executable program stored in the memory, so as to perform all or part of the processing steps of any of the above-described method embodiments.
The Processor 301 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) The server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(5) And other electronic devices with data interaction functions.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, and the modules illustrated as separate components may or may not be physically separate, and the components suggested as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims (10)

1. A method for building a flow model in a manufacturing execution system, the method comprising:
determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system;
respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label;
and generating the process model according to the node labels corresponding to all the process nodes.
2. The method of claim 1, wherein the process node is a specific process in the production process of the product, and the configuration information at least includes parameters required when the specific process is run.
3. The method according to claim 2, wherein the configuration information further includes names of corresponding process nodes, and the parameters required for running the specific process include an authority control parameter.
4. The method of claim 1, wherein the tags are node tags written in extensible markup language.
5. The method of claim 1, wherein configuration information for the flow node is stored in attributes of its corresponding tag.
6. The method of any one of claims 1-5, wherein generating the process model based on node labels corresponding to all process nodes comprises: and writing the node labels of all the process nodes into an extensible markup file, and taking the extensible markup file as the process model.
7. An electronic device comprising a memory having computer-executable instructions stored thereon and a processor that executes the computer-executable instructions to perform the method of any of claims 1-6.
8. A computer storage medium having stored thereon computer-executable instructions that, when executed, perform the method of any one of claims 1-6.
9. A method for analyzing a process model formed by the method according to any one of claims 1 to 6, the method comprising:
analyzing the process model formed by the method of any one of claims 1 to 6 to obtain a data storage structure of each process node;
and collecting real-time data of each process node and storing the real-time data according to the data storage structure.
10. An electronic device, comprising a memory having a computer software program stored thereon and a processor for executing the computer software program to perform the steps of:
determining the process nodes involved in the production process of the product and the configuration information of each process node, and adding the process nodes involved in the production process of the product to a manufacturing execution system;
respectively defining a node label for each process node added into the manufacturing execution system, and storing the configuration information of each process node in the corresponding node label;
and generating the process model according to the node labels corresponding to all the process nodes.
CN202011388992.1A 2020-12-01 2020-12-01 Method for establishing flow model in manufacturing execution system, electronic device and method for analyzing flow model Pending CN112365192A (en)

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CN113377433A (en) * 2021-05-27 2021-09-10 北京北方华创微电子装备有限公司 Method for executing semiconductor process
CN114493159A (en) * 2021-12-31 2022-05-13 苏州浪潮智能科技有限公司 Node position checking method and device based on MES system
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