CN113253983B - Discrete industry network collaborative manufacturing platform modeling method and system based on drive design - Google Patents
Discrete industry network collaborative manufacturing platform modeling method and system based on drive design Download PDFInfo
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Abstract
The invention discloses a discrete industry network collaborative manufacturing platform modeling method based on drive design, which comprises the following steps: s1, dividing three basic architecture fields of a system to be modeled to obtain a preliminary system field layer, wherein the system field layer comprises an equipment client field layer, an equipment manufacturer field layer and a part manufacturer field layer; s2, determining a service invariant to carry out auxiliary domain selection division according to the actual service condition of the system; s3, fusing the system field layer in the step S1 with a CQRS read-write separation architecture, designing boundaries of all fields, and fusing through the CQRS read-write separation architecture, so that the pressure of a database is reduced when information interaction is ensured; s4, acquiring the relation between the basic field and the auxiliary field, and carrying out detail design to form a final overall architecture model. According to the invention, each process in discrete industry can be effectively combined, thereby realizing interconnection and intercommunication among processes, reducing difficulty of industrial digitization and intelligent manufacturing, and ensuring that the system has good expansibility and reusability.
Description
Technical Field
The invention relates to the technical field of software modeling, in particular to a discrete industry network collaborative manufacturing platform modeling method and system based on drive design.
Background
With the advent of the 4.0 era of industry, the industrial mode of "internet+manufacturing" has become a trend and mainstream of development of various industries, and this mode can significantly improve development and production efficiency, optimize resource allocation, and innovate business mode. New business states and new technologies are induced, and complex business architecture and logic systems often exist behind such a manufacturing mode, and common architecture model construction methods are applied with obvious disadvantages to such systems, so that a new architecture design mode is introduced.
The key point of focusing on the problem to be solved is to understand the Domain in which the system is located and to maintain the integrity of the business concept; organizing business logic through a domain model so as to avoid procedural system design; and establishing a reusable field model, so that the development of codes can be better guided, and the function iteration is more convenient and faster in the future, and the whole system frame is not easy to influence.
The current enterprise digital transformation, especially the discrete manufacturing industry, has very complex problems, and has very large optimizing and improving space from discrete manufacturing to enterprise itself and from business to management. The discrete industry network collaborative manufacturing platform model method based on the field driven design is exactly used for solving the problem.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a modeling method and a system for a network collaborative manufacturing platform in discrete industry based on drive design, which can effectively combine all working procedures in the discrete industry, thereby realizing interconnection and intercommunication among the working procedures, reducing the difficulty of industrial digitization and intelligent manufacturing, and further ensuring that the system has good expansibility and reusability. To achieve the above objects and other advantages and in accordance with the purpose of the present invention, there is provided a discrete industry network collaborative manufacturing platform modeling method based on a drive design, comprising the steps of:
s1, dividing three basic architecture fields of a system to be modeled to obtain a preliminary system field layer, wherein the system field layer comprises an equipment client field layer, an equipment manufacturer field layer and a part manufacturer field layer;
s2, determining a service invariant to carry out auxiliary domain selection division according to the actual service condition of the system;
s3, fusing the system domain layer in the step S1 with a CQRS read-write separation architecture, and designing boundaries of all domains;
s4, acquiring the relation between the basic field and the auxiliary field, and carrying out detail design to form a final overall architecture model.
Preferably, the auxiliary field comprises a pre-sale operation and maintenance field layer, an after-sale operation and logistics operation and maintenance field layer, and the auxiliary field and the system field layer interact information through an aggregation root, and the aggregation root has one aggregation root and only one aggregation root.
Preferably, the equipment client domain layer comprises entities such as requirements, schemes, quotes, contracts and the like; the equipment manufacturer field layer comprises project planning, design, purchasing subcontracting, manufacturing and installation debugging after-sales services; the field layer of the part manufacturer comprises drawings, price verification, production progress and manufacture.
Preferably, in the step S3, a command interface end and a query interface end are respectively connected through a client module in a signal manner, the command interface end is input to a write database through an aggregation root, the write database is transmitted to a read database, the read database transmits data to a query module, and the query module is connected to the client through a query interface.
A discrete industry network collaborative manufacturing platform modeling system based on a drive design, comprising:
the system domain module is used for establishing a domain driving model after domain attributes are identified on the basis of a business flow and business logic for discrete industry system application domain driving design technology;
the pre-sale operation and maintenance cooperative module is used for interacting with the after-sale and logistics field module;
the workshop operation and maintenance coordination module is used for acquiring real-time production conditions of workshops;
the after-sales operation and maintenance coordination module is used for interacting with the pre-sales and logistics field modules;
and the logistics operation and maintenance coordination module is interacted with the pre-sale and after-sale field modules.
Preferably, the interaction communication among the pre-sale operation and maintenance coordination module, the after-sale operation and maintenance coordination module and the logistics operation and maintenance coordination module can realize the connection among entities through the access of the aggregation root.
Compared with the prior art, the invention has the beneficial effects that:
1. the discrete industry network collaborative manufacturing platform model method based on the field driving design can overcome the defects of the traditional industry point in management and coordination, has certain complexity in informatization transformation, has more variation and uncertainty factors in the processing and production process, and has more complex and variable process control. The field driving design concept is provided for solving the problem of large complex systems, and the field driving design concept is applied to the field to solve the pain point of the industry well, so that the efficiency of converting the enterprise from tradition to intelligence and informatization is improved.
2. The modeling method of the system architecture is many, but the best effort is not practical from the current situation of the discrete industry, and the problem can be skillfully solved by applying the domain-oriented ideas to the domain-oriented design ideas.
3. A discrete industry network collaborative manufacturing platform model method based on field driving design is provided, and the final purpose is to reorganize each business process related to the discrete industry, so that seamless transfer of information flow can be realized, error opportunities are reduced, response capability is improved, and monitoring at any time is facilitated.
4. The traditional code writing mode separates system analysis and design, which shows that the modeling and the codes are in fall and cannot be smoothly connected, the real business background and integration complexity of the project are introduced into the design stage, the design complexity is increased, the design practicability is improved, and the development efficiency of each link is improved.
5. The discrete industry network collaborative manufacturing platform model method based on the domain drive design designs three basic domain layers and a plurality of auxiliary domain layers, combines a CQRS (read-write separation architecture) architecture method and simplifies the design of a system architecture. The access pressure to the database can be reduced, so that high cohesive strength and low coupling of the whole system are realized, the performance of the system is further improved, the code repeatability is improved, and a premise is established for future expansion.
Drawings
FIG. 1 is a flow diagram of a discrete industry network collaborative manufacturing platform modeling approach based on drive design in accordance with the present invention;
FIG. 2 is a blueprint of a discrete industry network collaborative architecture domain of a discrete industry network collaborative manufacturing platform modeling method based on a drive design in accordance with the present invention;
FIG. 3 is an exemplary diagram of a domain-level fusion CQRS architecture for a discrete industry network collaborative manufacturing platform modeling approach based on drive design in accordance with the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
1-3, a discrete industry network collaborative manufacturing platform modeling method based on drive design includes the following steps: s1, dividing three basic architecture fields of a system to be modeled to obtain a preliminary system field layer, wherein the system field layer comprises an equipment client field layer, an equipment manufacturer field layer and a part manufacturer field layer;
s2, determining a service invariant to carry out auxiliary domain selection division according to the actual service condition of the system;
s3, fusing the system field layer in the step S1 with a CQRS read-write separation architecture, designing boundaries of all fields, and fusing through the CQRS read-write separation architecture, so that the pressure of a database is reduced when information interaction is ensured;
s4, acquiring the relation between the basic field and the auxiliary field, and carrying out detail design to form a final overall architecture model.
The unified communication language in the system design is the core of DDD, ideas and exploration problems in the system design process are expressed by using the unified language, and a solution is defined, and the introduction of the unified language can shorten the distance from the whole architecture ideas of the system to the program, so that the writing of codes is better guided, and various unnecessary pains can be avoided by a program writer. The running time of the whole service is improved, and the saved time can better benefit other problems.
Further, the auxiliary field comprises a pre-sale operation and maintenance field layer, an after-sale operation and logistics operation and maintenance field layer, the auxiliary field and the system field layer interact information through an aggregation root, and the aggregation root is one or only one.
Further, the equipment client field layer comprises entities such as requirements, schemes, quotes, contracts and the like; the equipment manufacturer field layer comprises project planning, design, purchasing subcontracting, manufacturing and installation debugging after-sales services; the field layer of the part manufacturer comprises drawings, price verification, production progress and manufacture.
Further, in the step S3, a command interface end and a query interface end are respectively connected through a client module in a signal manner, the command interface end is input to a write database through an aggregation root, the write database is transmitted to a read database, the read database transmits data to a query module, and the query module is connected to the client through a query interface.
A discrete industry network collaborative manufacturing platform modeling system based on a drive design, comprising:
the system domain module is used for establishing a domain driving model after domain attributes are identified on the basis of a business flow and business logic for discrete industry system application domain driving design technology;
the pre-sale operation and maintenance cooperative module is used for interacting with the after-sale and logistics field module;
the workshop operation and maintenance coordination module is used for acquiring real-time production conditions of workshops;
the after-sales operation and maintenance coordination module is used for interacting with the pre-sales and logistics field modules;
and the logistics operation and maintenance coordination module is interacted with the pre-sale and after-sale field modules.
Further, the method comprises the steps of: the interaction communication among the pre-sale operation and maintenance coordination module, the after-sale operation and maintenance coordination module and the logistics operation and maintenance coordination module can realize the connection among entities through the access of the aggregation root.
Example 1
01. Based on the business of the system to be modeled, three major fields of the three major core parts corresponding to the business system of the discrete industry are divided, including an equipment client field layer, an equipment manufacturer field layer and a part manufacturer field layer.
02. Performing domain driving design technical concept division on the three domain layers, and performing domain driving design technical concept division on the equipment client domain: the equipment clients are aggregation roots, the demands, schemes and quotes are entities, the contracts are value objects, and the sales policies are services; to equipment manufacturer domain: project planning, purchasing, subcontracting and manufacturing are entities, designed as value objects, and sales policies are services; for parts manufacturer: drawing, price checking and manufacturing are entities, production progress is a value object, and sales policy is a service.
03. The domain driving design technology concept division standard is as follows: entity: the objective things have unique identifications; value object: other concepts outside the description domain are attributes of the entity; service: some behavioral approaches cannot be put into entities or value objects, which are difficult to embody as an aggregate property.
04. According to the basic architecture, the invention introduces a CQRS read-write separation architecture, so that the pressure of a database can be effectively relieved when data is read and written, and system breakdown is prevented.
05. According to different domain concepts in the domain layer, different types of data are put into different databases.
06. The invention relates to a pre-sale operation and maintenance cooperative module which is still divided according to the technical principle of field driving design, and comprises purchase cooperation and outsourcing cooperation, wherein the purchase cooperation field relates to: planning collaboration, purchasing collaboration, supply collaboration, and receiving collaboration. Wherein the plans cooperate: a delivery plan and delivery schedule; purchase collaboration: order pushing, order changing and order case setting; and (3) supply coordination: accepting orders, confirming orders, replying to a delivery period, printing a delivery note, a material code and labeling the commodity; harvesting synergy: code-scanning receiving and harvest/return notification. The field of outsourcing collaboration involves: a offerings list, a recommendation provider, and a suggested bid. Wherein the offerings list: requirements and drawings; recommendation provider: vendor data and historical purchase orders; suggesting offers: process records, historical quotations, material sending records and labor reporting records.
07. The invention relates to an after-sale operation and maintenance cooperative module, which comprises a client and a service center, wherein the client is: reporting repair and satisfaction; service center: spare part transactions and field services. Spare part transaction: claims, shipping, replacement, and return; on-site service: distribution, dispatch, departure, arrival, maintenance, receipt, evaluation, and review.
08. The logistics coordination module comprises intelligent management, core functions, deployment modes, internet of things driving and multi-terminal application, wherein intelligent logistics: task allocation and pushing, warehouse management strategy suggestion and related data report analysis presentation; core functions: shipment management, in-warehouse management, production management, shipment management, traceability management, basic management, authority management, system monitoring, log management and interface management; the deployment mode is as follows: cloud end and ground end deployment; thing allies oneself with drive: ERP/SRM/MES and WCS/AS/RS; multi-terminal application: cell phones, tablets, PDAs, wearable devices, PCs and electronic signs.
09. The workshop collaborative management module comprises personnel management and task management, wherein the personnel management comprises the following steps: planners, production director, production personnel, product protection personnel, maintenance personnel and machine adjustment personnel; and (3) task management: equipment crystal ball, lamp installation system, equipment console and equipment cloud vision.
The interactions within and between the domains referred to by the pros 06, 07, 08, 09 are all accessed and data interactions in an aggregated root, and cannot be performed by other entities or value objects.
In the whole DDD modeling deduction process, the premise of needing moment attention and backtracking analysis is what. The logic of the usage domain thinks about the business domain, and in addition, in the modeling process, the UML timing diagram needs to be used for expression and color labels in the event storm are combined, that is, different colors represent event elements such as aggregation root, entity, value object and the like. By continuously adjusting the combination of the centralized notes, the aggregate and each other's boundaries can be discovered step by step, the aggregate representing the aggregate, and the boundaries in turn representing the boundaries of the context.
The domain object in the present invention is all focused on the domain layer, and since the conventional MVC architecture is three layers, the DDD architecture becomes four layers after the domain object is introduced, wherein the database layer is used as the infrastructure layer, the application layer is used for coordinating the domain layer and the infrastructure layer, and the presentation layer is also complicated as the user interface to coordinate the domain layer and the infrastructure layer. The logic change and modification of the service are all operated in the field, while the traditional service logic is all concentrated in the back of the database table section and in the SQL or storage process, which is difficult to realize visual and direct mapping of the service objects.
Wherein the CQRS pattern is based on a message queue that is used to maintain consistency between both the database and the write database by persisting user command requests. Aiming at the problem that the traditional object-oriented programming method can not well reduce the coupling degree of each module in the system and separate the system-level attention point and the service attention point, the dependent injection and AOP technology is introduced, the modularization characteristic is increased through the dependent injection, the code style with high cohesion and low coupling is realized through the AOP management cross-cutting attention point, and convenience is provided for code writing after model establishment.
In one embodiment of the invention, a discrete industry network collaborative manufacturing platform model method based on domain drive design is disclosed, as shown in figure 3. Comprising the following steps: firstly, dividing the field of a three-major basic architecture of a system to be modeled into the fields of equipment clients, equipment manufacturers and parts manufacturing; secondly, according to the actual service condition of the system, carrying out auxiliary field division on the premise of determining the service invariants, wherein the auxiliary field division comprises the following steps: pre-sale collaboration, after-sale collaboration and logistics collaboration fields; combining with a CQRS read-write separation architecture to integrate the architecture design and design the boundaries of each field; finally, aiming at the relation between the system fields, the relation between the basic field and the auxiliary field is obtained, and detail design is carried out to form a final integral architecture model.
In summary, the discrete industry network collaborative manufacturing platform model method based on the domain drive design provides a new thought for the intellectualization of the discrete industry, and the main problem is to face various complicated problems faced by the transformation of the discrete industry, so that the problems of large volume and more details of the discrete industry can be effectively solved, various domains related to the system can be efficiently matched, and a large number of and repeated problems in the transformation process are reduced. In summary, the domain driving design technology can solve the pain point problem faced by a large-scale system, and meanwhile, can also solve the pain point faced by the code development process, and the adoption of the domain driving design technology to solve the network collaborative problem in the discrete industry can play a role in one-arrow double engraving, so that the system architecture is simple and clear, can be specific to an entity, and is an advantage for the improvement of an actual system.
The number of devices and the scale of processing described herein are intended to simplify the description of the invention, and applications, modifications and variations of the invention will be apparent to those skilled in the art.
Although embodiments of the present invention have been disclosed above, it is not limited to the details and embodiments shown and described, it is well suited to various fields of use for which the invention would be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the specific details and illustrations shown and described herein, without departing from the general concepts defined in the claims and their equivalents.
Claims (1)
1. The modeling method for the discrete industry network collaborative manufacturing platform based on the drive design is characterized by comprising the following steps of:
s1, dividing three basic architecture fields of a system to be modeled to obtain a preliminary system field layer, wherein the system field layer comprises an equipment client field layer, an equipment manufacturer field layer and a part manufacturer field layer, and performing field driving design technical concept division on the three field layers of the equipment client field layer, the equipment manufacturer field layer and the part manufacturer field layer, and for the equipment client field: the equipment clients are aggregation roots, the demands, schemes and quotes are entities, the contracts are value objects, and the sales policies are services; for the equipment manufacturer domain: project planning, purchasing, subcontracting and manufacturing are entities, designed as value objects, and sales policies are services; for the part manufacturer field: drawing, price checking and manufacturing are entities, production progress is a value object, and sales policy is service; the domain driving design technology concept division standard is as follows, and the entity is: the objective things have unique identifications; the value objects are: other concepts outside the description domain are attributes of the entity; the service is as follows: some behavioral approaches that cannot be put into an entity or value object, which are difficult to embody with aggregation characteristics;
s2, determining a business invariant to carry out auxiliary field selection division according to the actual business condition of the system, wherein the auxiliary field comprises a pre-sale operation and maintenance field layer, an after-sale operation and logistics operation and maintenance field layer, the auxiliary field and the system field layer carry out information interaction through an aggregation root, and the aggregation root is one or more;
s3, fusing the system field layer in the step S1 with the CQRS read-write separation architecture, performing boundary design of each field, and respectively connecting a command interface end and a query interface end through a client module in a signal mode, wherein the command interface end is input into a write database through an aggregation root, the write database is transmitted to a read database, the read database transmits data to a query module, and the query module is connected to a client through a query interface;
s4, acquiring the relation between the basic field and the auxiliary field, and carrying out detail design to form a final overall architecture model;
obtaining a discrete industry network collaborative manufacturing platform modeling system by adopting the discrete industry network collaborative manufacturing platform modeling method based on the driving design, wherein the system specifically comprises a system field module, and the system field module is used for establishing a field driving model after identifying field attributes on the basis of a business flow and business logic by applying a field driving design technology to the discrete industry system;
the pre-sale operation and maintenance cooperative module is used for interacting with the after-sale and logistics field module; the pre-sale operation and maintenance cooperation module comprises purchase cooperation and outsourcing cooperation, wherein the purchase cooperation field relates to: planning collaboration, purchasing collaboration, supply collaboration and receiving collaboration; wherein, the plan cooperation is: a delivery plan and delivery schedule; purchase synergy is: order pushing, order changing and order case setting; the supply cooperation is as follows: accepting orders, confirming orders, replying to a delivery period, printing a delivery note, a material code and labeling the commodity; harvest synergy is: code scanning and receiving and harvesting/returning notification; the field of outsourcing collaboration involves: a offerings list, a recommendation provider, and a suggested bid; wherein, the offerings list is: requirements and drawings; recommended suppliers are: vendor data and historical purchase orders; the suggested offers are: process records, historical quotations, material sending records and work reporting records;
the workshop operation and maintenance coordination module is used for acquiring real-time production conditions of workshops; the workshop collaborative management module comprises personnel management and task management, wherein the personnel involved in the personnel management are as follows: planners, production director, production personnel, product protection personnel, maintenance personnel and machine adjustment personnel; the task management objects are: the equipment crystal ball, the lamp installation system, the equipment console and the equipment cloud view;
the after-sales operation and maintenance coordination module is used for interacting with the pre-sales and logistics field modules; an after-market operation and maintenance collaboration module comprising a customer and a service center, wherein the customer involves: reporting repair and satisfaction; the service center involves: spare part transaction and field service; spare part transaction is: claims, shipping, replacement, and return; the field service is as follows: distribution, dispatch, departure, arrival, maintenance, receipt, evaluation, and review;
the logistics operation and maintenance coordination module is interacted with the pre-sale and after-sale field modules; logistics cooperation module, including intelligent management, core function, deployment mode, thing allies oneself with drive and multi-terminal application, wherein intelligent commodity circulation is: task allocation and pushing, warehouse management strategy suggestion and related data report analysis presentation; the core functions are as follows: shipment management, in-warehouse management, production management, shipment management, traceability management, basic management, authority management, system monitoring, log management and interface management; the deployment mode is as follows: cloud end and ground end deployment; the Internet of things drive is as follows: ERP/SRM/MES and WCS/AS/RS; the multi-terminal application relates to the following terminals: cell phones, tablets, PDAs, wearable devices, PCs and electronic signs;
and the interaction communication among the pre-sale operation and maintenance coordination module, the after-sale operation and maintenance coordination module and the logistics operation and maintenance coordination module can realize the connection among entities through the access of the aggregation root.
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