CN116402479B - Method and system for generating inventory based on automatic modeling of order feature recognition - Google Patents
Method and system for generating inventory based on automatic modeling of order feature recognition Download PDFInfo
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
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- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
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- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application discloses a method and a system for generating a list based on automatic modeling of order feature recognition, which relate to the field of software engineering and comprise the steps of acquiring an order comprising field information facing to user requirements and acquiring a preset model; acquiring a specific model corresponding to field information from a preset model; acquiring data of a specific model; analyzing and extracting a specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logic relation between the procedure control form, and generating a field information data list according to the field information data in the form data. The method is convenient and quick, and a plurality of lists corresponding to the orders can be obtained only by submitting the orders, thereby facilitating the processing of customized orders and improving the communication efficiency from sales to the production links on the ground.
Description
Technical Field
The application relates to the field of software engineering, in particular to a method and a system for generating a list based on automatic modeling of order feature recognition.
Background
Along with the continuous heating of the national intelligent manufacturing heat, the construction of intelligent factories and digital workshops enters the white thermalization stage. On the premise that workshop informatization construction basic achievement is achieved, the enterprise has higher and higher requirements on automation, intellectualization and efficient management and control of the production process.
Based on the demand orders of users, the manual arrangement process for generating the bom forms and the material forms is complicated, a large number of staff are needed to carry out complicated form construction work on the orders required by the users, namely, the staff participate in arrangement and analysis of the user demand orders, and the staff analyze the primary materials, the secondary materials and the related bom of the demand orders which point to the materials aiming at the demand orders of the users, wherein the semi-finished materials, the raw material materials and the like are related, the form construction is repeated, a large amount of time and repeatability work are spent on the staff, and a plurality of material lists and the bom lists can be obtained.
The intelligent degree of the process is low, the labor cost is high, and the production and sales efficiency of enterprises are hindered.
Disclosure of Invention
The application discloses a method and a system for generating a list based on automatic modeling of order feature recognition, which solve the problem of difficult form acquisition.
In a first aspect, a method for generating a manifest based on automatic modeling of order feature recognition includes:
acquiring an order comprising field information facing to user requirements, and acquiring a preset model;
according to the order of the field information facing the user demand, a specific model corresponding to the field information is obtained in the preset model, the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module;
acquiring data of the specific model;
analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logical relation among the procedure control forms, and generating a field information data list according to the field information data in the form data.
Further, acquiring an order including field information facing a user requirement, and acquiring a preset model includes:
acquiring an order facing to user requirements;
analyzing orders facing to user demands;
and acquiring field information in the order facing the user requirement.
Preferably, acquiring an order including field information facing a user requirement, and acquiring a preset model includes:
acquiring field information facing the user requirements comprises acquiring field information facing the user requirements for selecting a preset model;
and selecting the preset model from a plurality of preset models according to the field information which is used for selecting the preset model and faces to the user requirements.
Preferably, according to the order of the field information facing the user requirement, in the preset model, a specific model corresponding to the field information is obtained, the specific model includes a process path and a control module, the control module includes a process control module and a material control module, the material control module includes a material control form, the process control module includes a process control form, and the process path includes a logic relationship between the process control forms in the process control module, including:
the field information facing the user requirement comprises field information facing the user requirement for selecting a specific model;
the specific model is a subset of the preset model, the specific model is selected according to the field information facing the user requirement for selecting the specific model, the specific model comprises a process path corresponding to the field information facing the user requirement, and the field information is generated in a control form according to the field information facing the user requirement.
Further, wherein obtaining the data of the specific model includes:
process path data including the particular model is acquired, and field information in a control form in each control module including the particular model is acquired.
Preferably, the analyzing and extracting the specific model obtain field information data in form data, where the form data includes a procedure control form, a logical relationship between the material control form and the procedure control form, and generating a field information data list according to the field information data in the form data includes:
the field information data list includes a bill of materials:
generating all bill of materials corresponding to the products according to the field information in the material control module and the material control form according to the products corresponding to the orders of the field information facing the user demand;
the field information data list includes a bom list:
according to the material control form data in the material control module, extracting a material control form data name as a main material, extracting field information in a control form corresponding to the main material, extracting field information in material control forms of all lower-level materials of the main material under the process path branches of the corresponding material control module in a specific model, and generating a bom list;
the method comprises the steps of extracting a plurality of material control form data, and generating a plurality of bom lists, wherein each bom list comprises a main material of the product and a list of lower-level materials of the main material.
Preferably, the analyzing and extracting the specific model obtain field information data in form data, where the form data includes a procedure control form, a logical relationship between the material control form and the procedure control form, and generating a field information data list according to the field information data in the form data includes:
and extracting the process control form data in all the process control modules in the specific model, and generating a process path list comprising field data in the process control form, wherein the process path list comprises a plurality of process paths and logic relations between the process control forms under the process paths.
In a second aspect, the present application provides a system for generating a manifest based on automatic modeling of order feature recognition, comprising:
the first acquisition module is used for acquiring an order comprising field information facing to user requirements and acquiring a preset model;
the second acquisition module is used for acquiring a specific model corresponding to the field information in the preset model according to the order of the field information facing the user demand, wherein the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module;
the third acquisition module is used for acquiring the data of the specific model;
the analysis and extraction module is used for analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logical relation among the procedure control forms, and a field information data list is generated according to the field information data in the form data.
Further, the first obtaining module is specifically configured to obtain an order facing the user requirement, analyze the order facing the user requirement, and obtain field information in the order facing the user requirement.
Further, the second obtaining module is specifically configured to obtain field information facing the user requirement, where the obtaining includes obtaining field information facing the user requirement for selecting a preset model, and selecting the preset model from a plurality of preset models according to the field information facing the user requirement for selecting the preset model.
Further, the second obtaining module is further specifically configured to, the field information facing the user requirement includes field information facing the user requirement for selecting a specific model; the specific model is a subset of the preset model, the specific model is selected according to the field information facing the user requirement for selecting the specific model, the specific model comprises a process path corresponding to the field information facing the user requirement, and the field information is generated in a control form according to the field information facing the user requirement.
Further, the third obtaining module is specifically configured to obtain process path data including a specific model, and obtain field information in a control form in each control module including the specific model.
Further, the analyzing and extracting module generates the field information data list to include a bill of materials, specifically: generating all bill of materials corresponding to the products according to the field information in the material control module and the material control form according to the products corresponding to the orders of the field information facing the user demand;
further, the analyzing and extracting module generates the field information data list to include a bom list, specifically: according to the material control form data in the material control module, extracting a material control form data name as a main material, extracting field information in a control form corresponding to the main material, extracting field information in material control forms of all lower-level materials of the main material under the process path branches of the corresponding material control module in a specific model, and generating a bom list; the method comprises the steps of extracting a plurality of material control form data, and generating a plurality of bom lists, wherein each bom list comprises a main material of the product and a list of lower-level materials of the main material.
Further, the analysis and extraction module also generates a process path list, specifically: and extracting the process control form data in all the process control modules in the specific model, and generating a process path list comprising field data in the process control form, wherein the process path list comprises a plurality of process paths and logic relations between the process control forms under the process paths.
According to the method and the system for generating the list based on the automatic modeling of the order feature recognition, the order of the user demand language is processed, the specific model is selected, control form data in the specific model is obtained, the data in the specific model is called according to the list rule based on the specific model, and the data comprising the bom list, the bill of materials and the process path list are output, so that the time for staff to sort the order is reduced in an intelligent mode, and the working efficiency of staff is improved;
the method and the system for generating the list based on automatic modeling of order feature recognition provided by the application are convenient and quick, and a plurality of lists corresponding to the order can be obtained only by submitting the order.
The method and the system for generating the list based on the automatic modeling of the order feature recognition, provided by the application, utilize the preset model paradigm of the product of a given enterprise, preset the model, define the rule for selecting the preset model, define the rule for selecting the specific model, process the field information of the order after importing the field information order facing the user demand, select the model according to the field information, greatly meet the production period requirement of the user, facilitate the processing of the customized order and improve the communication efficiency from sales to the floor production link.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:
FIG. 1 is a flowchart of a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application.
FIG. 2 is a flow chart of a method for generating an order including field information for a user's needs in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application.
FIG. 3 is a flowchart illustrating a method for selecting a particular model in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application.
FIG. 4 is a diagram illustrating a pre-set model of a product in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 3 of the present application.
FIG. 5 is a diagram of a selected default model of a product in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 3 of the present application.
FIG. 6 is a model diagram illustrating a product in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 3 of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
First, the terms involved in the present application will be explained:
control is a concept of gui programming, generally an end user viewable, interactable component, called a Control. For example, system. Windows. Controls. Button in NET programming is a control.
The process refers to the combination of continuous production activities of a worker (or a group of workers) on a work place to a labor object (or several labor objects), and is a basic unit for the production process. According to the nature and task, it can be divided into process, inspection, transportation, etc. Each procedure can be subdivided into each step according to the processing technology process; according to the labor process, the method can be subdivided into a plurality of operations. Factors that restrict the dividing process are: the production process and equipment features specific requirement of production technology, labor division and labor productivity.
The process path is also known as a "process flow" or a "production flow". Refers to the whole process of continuously processing the raw materials in sequence from raw materials input to finished products output through certain production equipment or pipelines. The technological path is determined by the production technical conditions of industrial enterprises and the production technical characteristics of products. A complete process path typically includes several procedures. For example, in masonry construction, the process of mixing mortar, immersing bricks, priming, tiling, flat joint, surface cleaning, etc. is generally carried out. It can be seen that the basic content of the process path is that workers use the labor tools to change the shape, size, position, composition, performance, etc. of the labor object to make it the intended product.
And (3) material: for most enterprises, it has a broad and narrow sense. Materials in the narrow sense are materials or raw materials, while materials in the broad sense include all items related to the production of products, such as raw materials, auxiliary products, semi-finished products, etc. For pharmaceutical enterprises, the amendment GMP in 2010 provided that: the materials refer to raw materials, auxiliary materials and packaging materials. Bill of materials (Bill of Materials, BOM for short) is a technical document describing the composition of an enterprise product. In the process capital industry, it is shown the structural relationship between the total assembly, sub-assembly, component, part, up to the raw materials of the product, and the quantity required. In the chemical, pharmaceutical and food industries, the composition of the products will be described with respect to the main raw materials, intermediates, auxiliary materials and their formulations and the required amounts. BOM is a graphical representation of the composition of the product in the form of a data table. The bill of materials referred to in the present application refers to a bill of materials including all materials in the products corresponding to the order, which may be referred to as materials.
The bom list mentioned in the application refers to a list comprising main materials and corresponding lower materials, wherein one bom list only comprises one main material and corresponding lower materials, and a plurality of bom lists comprise a plurality of main materials and corresponding lower materials.
Along with the continuous heating of the national intelligent manufacturing heat, the construction of intelligent factories and digital workshops enters the white thermalization stage. On the premise of achieving workshop informatization construction basic, the enterprise has higher and higher requirements on automation, intellectualization and high-efficiency management and control of the production process, and particularly, the enterprise has quite different requirements on process refinement and customization management and control aiming at discrete manufacturing industry. Because of different customizing requirements and equipment foundations among enterprises, the oriented user groups and products are differentiated, and intelligent and efficient management from sales to production chain is difficult to realize.
In the prior art, a manual mode is adopted to sort tens of thousands of forms including a material table, a bom table and the like, and because the sales end receives the order requirement, the order requirement is sent to the background and is manually sorted, the order requirement is based on the requirement of a person and the order information which is filled and generated by language characters facing the person, and further processing is needed, and the prior art adopts the person to process the order information, so as to obtain a bom list, a material list and a process path list;
the process is complex, the workload is large, different lists are required to be created for orders of different demands of the same product required by users, the operations are the same but the internal data are different, and the whole process needs to be understood and processed manually.
Therefore, the application contemplates a method for generating a list through a preset model, which is characterized in that all materials and procedures of products operated by a seller are pre-created to generate preset models corresponding to various process paths of the products, order information editing is carried out on known customized demands, when an order facing to user demands is filled, the user is matched with the user to fill out the order generation operation, field information related to the order is associated with a selection rule, the preset model corresponding to the ordered products can be selected in the full preset model according to the selection rule, and then a subset of specific models are further selected in the preset model according to the field information of the user demands in the order;
for the selected specific model, the specific model comprises blank control modules and complete process path information, the specific model is matched with part of field information in an order, then data is generated in the control modules according to the related field information of the demand of the order and the associated selection rule analysis, the generated data comprises material control form data and process control form data in the control modules, material data corresponding to product attributes and quantity are automatically filled in a drop-down menu of the material control form, and the process is also carried out, so that the process requirement required by the process is filled in, and the specific model with the data is obtained;
then according to the association rules of the bill of materials, the bom bill and the process path bill and the bill of materials and the bill of process controls in the specific model;
generating a bill of materials, a bom list and a process path list.
The specific application scene of the application is any link between the sales end and the manufacturing workshop, and can also be that a remote user fills an order by himself, and an enterprise remotely receives order data with user requirements, so that the intelligent list generation is realized.
The application provides a method and a system for generating a list based on automatic modeling of order feature recognition, which aim to solve the technical problems in the prior art.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example 1: FIG. 1 is a flowchart of a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application, as shown in FIG. 1, and includes:
acquiring an order comprising field information facing to user requirements, and acquiring a preset model;
according to the order of the field information facing the user demand, a specific model corresponding to the field information is obtained in the preset model, the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module;
acquiring data of the specific model;
analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logic relation among the procedure control forms, and generating a field information data list according to the field information data in the form data.
Fig. 2 is a flowchart of a method for generating an order including field information facing a user requirement in a method for generating a manifest based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application, where, as shown in fig. 2, acquiring an order including field information facing a user requirement, and acquiring a preset model, including:
acquiring an order facing to user requirements;
analyzing orders facing to user demands;
and acquiring field information in the order facing the user requirement.
In one possible implementation manner provided in embodiment 1 of the present application, obtaining an order including field information facing a user's requirement, and obtaining a preset model includes:
acquiring field information facing the user requirements comprises acquiring field information facing the user requirements for selecting a preset model;
and selecting the preset model from a plurality of preset models according to the field information which is used for selecting the preset model and faces to the user requirements.
According to one possible implementation manner provided in embodiment 1 of the present application, according to the order of the field information facing the user requirement, in the preset model, a specific model corresponding to the field information is obtained, where the specific model includes a process path and a control module, the control module includes a process control module and a material control module, the material control module includes a material control form, the process control module includes a process control form, and the process path includes a logical relationship between the process control forms in the process control module, and includes:
the user demand-oriented field information comprises user demand-oriented field information for selecting a specific model;
the preset model includes a plurality of process paths and process control modules and material control modules related to the process paths, the specific model is a subset of the preset model, fig. 3 is a flowchart of a method for selecting a specific model in a method for generating a list based on automatic modeling of order feature recognition according to an exemplary embodiment 1 of the present application, as shown in fig. 3, the specific model is selected according to the field information facing the user requirement for selecting the specific model, the specific model includes a process path corresponding to the field information facing the user requirement, and the field information is generated in a control form according to the field information facing the user requirement.
One possible implementation manner provided in embodiment 1 of the present application, where obtaining the data of the specific model includes:
process path data including the particular model is acquired, and field information in a control form in each control module including the particular model is acquired.
In one possible implementation manner provided in embodiment 1 of the present application, the analyzing and extracting the specific model obtain field information data in form data, where the form data includes a procedure control form, a material control form, and a logical relationship between the procedure control forms, and generating a field information data list according to the field information data in the form data includes:
the field information data list includes a bill of materials:
generating all bill of materials corresponding to the products according to the field information in the material control module and the material control form according to the products corresponding to the orders of the field information facing the user demand;
the field information data list includes a bom list:
according to the material control form data in the material control module, extracting a material control form data name as a main material, extracting field information in a control form corresponding to the main material, extracting field information in material control forms of all lower-level materials of the main material under the process path branches of the corresponding material control module in a specific model, and generating a bom list;
the method comprises the steps of extracting a plurality of material control form data, and generating a plurality of bom lists, wherein each bom list comprises a main material of the product and a list of lower-level materials of the main material.
In one possible implementation manner provided in embodiment 1 of the present application, the analyzing and extracting the specific model obtain field information data in form data, where the form data includes a procedure control form, a material control form, and a logical relationship between the procedure control forms, and generating a field information data list according to the field information data in the form data includes:
and extracting the process control form data in all the process control modules in the specific model, and generating a process path list comprising field data in the process control form, wherein the process path list comprises a plurality of process paths and logic relations between the process control forms under the process paths.
According to the method and the system for generating the list based on the automatic modeling of the order feature recognition, the order of the user demand language is processed, the specific model is selected, control form data in the specific model is obtained, the data in the specific model is called according to the list rule based on the specific model, and the data comprising the bom list, the bill of materials and the process path list are output, so that the time for staff to sort the order is reduced in an intelligent mode, and the working efficiency of staff is improved;
the method and the system for generating the list based on automatic modeling of order feature recognition provided by the application are convenient and quick, and a plurality of lists corresponding to the order can be obtained only by submitting the order.
The method and the system for generating the list based on the automatic modeling of the order feature recognition, provided by the application, utilize the preset model paradigm of the product of a given enterprise, preset the model, define the rule for selecting the preset model, define the rule for selecting the specific model, process the field information of the order after importing the field information order facing the user demand, select the model according to the field information, greatly meet the production period requirement of the user, facilitate the processing of the customized order and improve the communication efficiency from sales to the floor production link.
Embodiment 2 the present application provides a system for generating a manifest based on automatic modeling of order feature recognition, comprising:
the first acquisition module is used for acquiring an order comprising field information facing to user requirements and acquiring a preset model;
the second acquisition module is used for acquiring a specific model corresponding to the field information in the preset model according to the order of the field information facing the user demand, wherein the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module;
the third acquisition module is used for acquiring the data of the specific model;
the analysis and extraction module is used for analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logical relation among the procedure control forms, and a field information data list is generated according to the field information data in the form data.
In one possible implementation manner provided in embodiment 2 of the present application, the first obtaining module is specifically configured to obtain an order facing a user requirement, analyze the order facing the user requirement, and obtain field information in the order facing the user requirement.
In one possible implementation manner provided in embodiment 2 of the present application, the second obtaining module is specifically configured to obtain field information facing a user requirement, where the obtaining includes obtaining field information facing the user requirement for selecting a preset model, and selecting the preset model from a plurality of preset models according to the field information facing the user requirement for selecting the preset model.
In one possible implementation manner provided in embodiment 2 of the present application, the second obtaining module is further specifically configured to, in the user requirement oriented field information, select the user requirement oriented field information of the specific model; the preset model comprises a plurality of process paths, a process control module and a material control module, wherein the process control module and the material control module are related to the process paths, the specific model is a subset of the preset model, the specific model is selected according to the field information facing the user requirement for selecting the specific model, the specific model comprises the process paths corresponding to the field information facing the user requirement, and the field information is generated in a control form according to the field information facing the user requirement.
In one possible implementation manner provided in embodiment 2 of the present application, the third obtaining module is specifically configured to obtain process path data including a specific model, and obtain field information in a control form in each control module including the specific model.
In one possible implementation manner provided in embodiment 2 of the present application, the analysis and extraction module generates the field information data list to include a bill of materials, specifically: generating all bill of materials corresponding to the products according to the field information in the material control module and the material control form according to the products corresponding to the orders of the field information facing the user demand;
in one possible implementation manner provided in embodiment 2 of the present application, the analysis and extraction module generates the field information data list to include a bom list, specifically: according to the material control form data in the material control module, extracting a material control form data name as a main material, extracting field information in a control form corresponding to the main material, extracting field information in material control forms of all lower-level materials of the main material under the process path branches of the corresponding material control module in a specific model, and generating a bom list; the method comprises the steps of extracting a plurality of material control form data, and generating a plurality of bom lists, wherein each bom list comprises a main material of the product and a list of lower-level materials of the main material.
In one possible implementation manner provided in embodiment 2 of the present application, the analysis and extraction module further generates a process path list, specifically: and extracting the process control form data in all the process control modules in the specific model, and generating a process path list comprising field data in the process control form, wherein the process path list comprises a plurality of process paths and logic relations between the process control forms under the process paths.
In embodiment 3, fig. 4 is a preset model diagram of a product in a method for generating a list based on automatic modeling of order feature recognition according to an exemplary embodiment 3 of the present application, as shown in fig. 4, a preset model of a product is shown in fig. 4, where materials and procedures in the diagram respectively represent a material control model and a procedure control model in the method for generating a list based on automatic modeling of order feature recognition according to the present application, where the material control model and the procedure control model include interaction properties based on controls, the material control model and the procedure control model respectively include a material control form and a procedure control form, and the material control form may be filled with corresponding material control form data and material control form fields, and the procedure control form may be filled with corresponding procedure control form data and procedure control form fields;
according to the technical scheme provided by the application, the preset model is selected according to the method provided by the application, fig. 5 is a selected preset model diagram of a product in the method for generating a list based on automatic modeling of order feature recognition provided by an exemplary embodiment 3 of the application, and as shown in fig. 5, a corresponding preset model diagram of the product is selected.
Then, for a specific product, such as a pen, fig. 6 is a specific model diagram of a product in a method for generating a list based on automatic modeling of order feature recognition according to an exemplary embodiment 3 of the present application, as shown in fig. 6, the product procedure may be represented in the diagram, and the corresponding material control and the procedure control analyze and extract according to the above-mentioned process path list, the material list and the bom list rules, to obtain a list corresponding to the product.
In the several embodiments provided by the present application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over 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 this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It will be appreciated by those skilled in the art that embodiments of the application may be provided as methods or systems. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (5)
1. A method for generating a manifest based on automatic modeling of order feature recognition, comprising:
acquiring an order comprising field information facing to user requirements, and acquiring a preset model;
according to the order of the field information facing the user demand, a specific model corresponding to the field information is obtained in the preset model, the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module; the field information facing the user requirement comprises field information facing the user requirement for selecting a specific model; the specific model is a subset of the preset model, the specific model is selected according to the field information facing the user requirement for selecting the specific model, the specific model comprises a process path corresponding to the field information facing the user requirement, and the field information is generated in a control form according to the field information facing the user requirement;
acquiring data of the specific model;
analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logical relationship among the procedure control forms, and a field information data list is generated according to the field information data in the form data;
the field information data list includes a bill of materials:
generating all bill of materials corresponding to the products according to the field information in the material control module and the material control form according to the products corresponding to the orders of the field information facing the user demand;
the field information data list includes a bom list:
according to the material control form data in the material control module, extracting a material control form data name as a main material, extracting field information in a control form corresponding to the main material, extracting field information in material control forms of all lower-level materials of the main material under the process path branches of the corresponding material control module in a specific model, and generating a bom list;
extracting a plurality of material control form data to generate a plurality of bom lists, wherein each bom list comprises a main material of the product and a list of lower-level materials of the main material; and extracting the process control form data in all the process control modules in the specific model, and generating a process path list comprising field data in the process control form, wherein the process path list comprises a plurality of process paths and logic relations between the process control forms under the process paths.
2. The method for generating a manifest based on automatic modeling of order feature recognition of claim 1, wherein acquiring an order including field information for user demand, acquiring a pre-set model, comprises:
acquiring an order facing to user requirements;
analyzing orders facing to user demands;
and acquiring field information in the order facing the user requirement.
3. The method for generating a manifest based on automatic modeling of order feature recognition of claim 1, wherein acquiring an order including field information for user demand, acquiring a pre-set model, comprises:
acquiring field information facing the user requirements comprises acquiring field information facing the user requirements for selecting a preset model;
and selecting the preset model from a plurality of preset models according to the field information which is used for selecting the preset model and faces to the user requirements.
4. The method for generating a manifest based on automatic modeling of order feature recognition of claim 1, wherein obtaining data for the particular model comprises:
process path data including the particular model is acquired, and field information in a control form in each control module including the particular model is acquired.
5. A system for generating a manifest based on automatic modeling of order feature recognition, the system being configured to implement the method for generating a manifest based on automatic modeling of order feature recognition of any of claims 1-4, comprising:
the first acquisition module is used for acquiring an order comprising field information facing to user requirements and acquiring a preset model;
the second acquisition module is used for acquiring a specific model corresponding to the field information in the preset model according to the order of the field information facing the user demand, wherein the specific model comprises a process path and a control module, the control module comprises a procedure control module and a material control module, the material control module comprises a material control form, the procedure control module comprises a procedure control form, and the process path comprises a logic relation between the procedure control forms in the procedure control module;
the third acquisition module is used for acquiring the data of the specific model;
the analysis and extraction module is used for analyzing and extracting the specific model to obtain field information data in form data, wherein the form data comprises a procedure control form, a material control form and a logical relation among the procedure control forms, and a field information data list is generated according to the field information data in the form data.
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