CN115063123A - Intelligent manufacturing method and system and electronic equipment - Google Patents
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Abstract
The invention discloses an intelligent manufacturing method, a system and electronic equipment, wherein the system is used for a production line, the production line is provided with an MES work station and a non-MES work station, and the system comprises: the MES client is deployed at an MES work station and is used for processing business logic corresponding to the MES client; the non-MES client is deployed at a non-MES work station and is used for processing business logic corresponding to the non-MES client; kafka middleware to store production data generated by the MES client and the non-MES client; and the local database comprises a first local database deployed on the MES client and a second local database deployed on the non-MES client, wherein the first local database is used for storing first production data generated by the MES client, and the second local database is used for storing second production data generated by the non-MES client.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing method, an intelligent manufacturing system and electronic equipment.
Background
In the intelligent manufacturing transformation and upgrading process, a Manufacturing Execution System (MES) is taken as an important core system for realizing intelligent manufacturing, so that the transformation of manufacturing from 'manufacturing' to 'intelligent manufacturing' is accelerated, a factory can rely on the characteristics of high response speed and high availability of the MES to perform efficient and high-quality production operation, and the market competitiveness of products is improved finally. Most of companies adopt a system architecture of client-server-middleware-database, the system architecture adds the jump from the client to the server, the loss of system performance occurs, and the business logic is executed at the server, so that the computing power of the client cannot be fully utilized. The system does not fully exert the performance of the system, and is difficult to meet the business scene of high UPH (Unit Per Hour) of the production line.
Disclosure of Invention
It is an object of the present invention to provide a new solution for smart manufacturing.
According to a first aspect of the present invention, there is provided an intelligent manufacturing system for a manufacturing line having an MES station and a non-MES station, the system comprising:
the MES client is deployed at an MES work station and is used for processing business logic corresponding to the MES client;
the non-MES client is deployed at a non-MES work station and is used for processing business logic corresponding to the non-MES client;
kafka middleware to store production data generated by the MES client and the non-MES client;
and the local database comprises a first local database deployed on the MES client and a second local database deployed on the non-MES client, wherein the first local database is used for storing first production data generated by the MES client, and the second local database is used for storing second production data generated by the non-MES client.
Optionally, the MES client is configured to receive a first production instruction, call a corresponding service logic according to the first production instruction, and generate first production data, and the MES client stores the first production data in the first local database and asynchronously stores the first production data in the kafka middleware.
Optionally, the MES client asynchronously obtains third production data generated by other clients from the kafka middleware, and the MES client stores the third production data to the first local database.
Optionally, the non-MES client obtains fourth production data generated by other clients from the kafka middleware, and the non-MES client stores the fourth production data to the second local database.
Optionally, an MES process management program package is deployed in the non-MES client, the non-MES client calls a corresponding service logic through the MES process management program package and generates second production data, and the non-MES client stores the second production data in the second local database and asynchronously stores the second production data in the kafka middleware.
Optionally, the system further comprises a project database, wherein the first production data and the second production data are stored in the project database.
According to a second aspect of the present invention, there is provided a smart manufacturing method, characterized in that the method is used in the smart manufacturing system according to the first aspect of the present invention, the method comprising:
the MES client receives a first production instruction;
responding to the first production instruction, the MES client calls corresponding business logic and generates first production data;
the MES client sends the first production data to a first local database and kafka middleware for storage; wherein the first local database is deployed at the MES client;
the non-MES client receives a second production instruction;
responding to the second production instruction, calling corresponding business logic by the non-MES client and generating second production data;
the non-MES client sends the second production data to a second local database and kafka middleware for storage; wherein the second local database is deployed at the non-MES client.
Optionally, the method further comprises:
the MES client asynchronously acquires third production data generated by other clients from the kafka middleware;
and the MES client stores the third production data into the first local database.
Optionally, the method further comprises:
the non-MES client asynchronously acquires fourth production data generated by other clients from the kafka middleware;
and the non-MES client stores the fourth production data into the second local database.
According to a third aspect of the present invention, there is provided an electronic device comprising a memory and a processor, the memory having stored thereon instructions executable by the processor, when executing the instructions, performing the steps performed by the MES client in the method according to the second aspect of the present invention.
According to a fourth aspect of the present invention, there is provided an electronic device comprising a memory and a processor, the memory having stored thereon instructions executable by the processor, the processor when executing the instructions implementing the steps performed by the non-MES client in the method according to the second aspect of the present invention.
According to one embodiment of the invention, the service logic and the production data are processed at the client, so that the computing capacity of the client is fully utilized, meanwhile, the server is not needed, the jump from the client to the server is avoided, the performance of the system is improved, the isolation of the system is further improved, the service is more stable, the system architecture is more flexible, and diversified scene deployment is met.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic diagram of an intelligent manufacturing system in an embodiment of the invention.
FIG. 2 is a schematic diagram of an intelligent manufacturing system in another embodiment of the invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
As shown in FIG. 1, an embodiment of the present invention is directed to an intelligent manufacturing system for a manufacturing line having MES and non-MES stations, the system comprising:
the MES client is deployed at an MES work station and is used for processing business logic corresponding to the MES client;
the non-MES client is deployed at a non-MES work station and is used for processing business logic corresponding to the non-MES client;
kafka middleware, the kafka middleware to store production data generated by the MES client and the non-MES client;
and the local database comprises a first local database deployed on the MES client and a second local database deployed on the non-MES client, wherein the first local database is used for storing first production data generated by the MES client, and the second local database is used for storing second production data generated by the non-MES client.
The invention discloses an intelligent manufacturing system which comprises a client, middleware and a database. The client comprises an MES client and a non-MES client, and the MES client is deployed at an MES work station. The MES client has client functions including code scanning, display, etc. and process management functions including business logic processing.
The middleware includes kafka middleware for storing first production data generated by the MES client and second production data generated by the non-MES client. The first production data are generated in the process that the MES client calls the business logic, and the second production data are generated in the process that the non-MES client calls the business logic. And the MES client serves as a kafka producer, and after the MES client generates the first production data, the first production data are asynchronously stored in the kafka middleware. The non-MES client also acts as a kafka producer and asynchronously stores the second production data in the kafka middleware after the non-MES client generates the second production data.
The database includes a local database including a first local database and a second local database. The first local database is deployed at the MES client, and the second local database is deployed at the non-MES client. The first local database stores first production data, and the second local database stores second production data. The local database may use the SQLite database and the MongoDB database.
The invention fully utilizes the computing power of the client by processing the service logic and the production data at the client, avoids the jump from the client to the server without using the server, improves the performance of the system, further improves the isolation of the system, ensures more stable service and more flexible system architecture, and meets the requirement of diversified scene deployment.
In an embodiment of the present invention, the MES client is configured to receive a first production instruction, call a corresponding service logic according to the first production instruction, and generate first production data, and the MES client stores the first production data in the first local database and asynchronously stores the first production data in the kafka middleware.
As shown in fig. 2, the MES client has a client function including code scanning, display, and the like, and a process management function including business logic processing. And generating a first production instruction after an operator of the MES client scans the code. And the MES client calls the business logic corresponding to the first production instruction, and generates first production data in the process of processing the business logic corresponding to the first production instruction, wherein the first production data is generated by the MES client. After generating the first production data, the MES client stores the first production data in the first local database. The MES client acts as a kafka producer and the MES client stores the first production data in the kafka middleware in an asynchronous manner.
In one embodiment of the invention, the MES client asynchronously retrieves third production data generated by other clients from the kafka middleware, and the MES client updates the third production data to the first local database.
As shown in fig. 2, the MES client, as a kafka consumer, asynchronously obtains third production data generated by other clients from kafka middleware at any time, and provides data support for invoking business logic for the MES client, and the MES client stores the obtained third production data in a first local database deployed on the MES client. When the MES client needs to call the service logic, the corresponding production data is directly obtained from the first local database deployed on the MES client, so that the system efficiency is effectively improved.
For example, the production line includes five work stations, two of which are MES work stations, and the first MES client and the second MES client are deployed respectively. The other three work stations are non-MES work stations, and a first non-MES client, a second non-MES client and a third non-MES client are respectively deployed. The first MES client obtains from the kafka middleware production data generated by the second MES client, production data generated by the first non-MES client, production data generated by the second non-MES client, and production data generated by the third non-MES client. The second MES client obtains from the kafka middleware the production data generated by the first MES client, the production data generated by the first non-MES client, the production data generated by the second non-MES client, and the production data generated by the third non-MES client.
In one embodiment of the invention, the non-MES client retrieves fourth production data generated by other clients from the kafka middleware, and the non-MES client updates the fourth production data to the second local database.
As shown in fig. 2, the non-MES client, as a kafka consumer, asynchronously obtains fourth production data generated by other clients from kafka middleware at any time, and provides data support for the non-MES client to call business logic, and the non-MES client stores the obtained fourth production data in a second local database deployed on the non-MES client. When the non-MES client needs to invoke business logic, it is directly from a second local database deployed on the non-MES client.
For example, the production line includes five work stations, two of which are MES work stations, and a first MES client and a second MES client are respectively deployed. The other three work stations are non-MES work stations, and a first non-MES client, a second non-MES client and a third non-MES client are respectively deployed. The first non-MES client obtains from the kafka middleware the production data generated by the first MES client, the production data generated by the second non-MES client, and the production data generated by the third non-MES client.
In one embodiment of the invention, an MES process management program package is deployed in the non-MES client, the non-MES client calls corresponding business logic through the MES process management program package and generates second production data, and the non-MES client stores the second production data in the second local database and asynchronously stores the second production data in the kafka middleware.
As shown in FIG. 2, an MES process management package is provided for non-MES clients, and the non-MES clients can call corresponding business logic, such as checking, passing, etc., through the interfaces in the MES process management package. And the non-MES client generates second production data in the process of calling the business logic, and stores the second production data into a second local database. The non-MES client, acting as a kafka producer, may also asynchronously store the second production data in kafka middleware.
For example, the non-MES client generates second production data associated with the verification when calling the business logic associated with the verification. The non-MES client stores the second production data associated with the verification in a second local database and asynchronously stores the second production data associated with the verification in the kafka middleware.
In one embodiment of the invention, the system further comprises a project database, wherein the first production data and the second production data are stored in the project database.
The MES client will asynchronously store the first production data in the kafka middleware and the non-MES client will asynchronously store the second production data in the kafka middleware. The intelligent manufacturing system also comprises a kafka consumer for storing the first production data and the second production data in the kafka middleware into the project database. The project database may be an oracle database.
An embodiment of the present invention provides an intelligent manufacturing method, which is used in an intelligent manufacturing system according to any embodiment of the present invention, and includes:
the MES client receives a first production instruction;
responding to the first production instruction, the MES client calls corresponding business logic and generates first production data;
the MES client sends the first production data to a first local database and kafka middleware for storage; wherein the first local database is deployed at the MES client;
the non-MES client receives a second production instruction;
responding to the second production instruction, calling corresponding business logic by the non-MES client and generating second production data;
the non-MES client sends the second production data to a second local database and kafka middleware for storage; wherein the second local database is deployed at the non-MES client.
The invention fully utilizes the computing power of the client by processing the service logic and the production data at the client, avoids the jump from the client to the server without using the server, improves the performance of the system, further improves the isolation of the system, ensures more stable service and more flexible system architecture, and meets the requirement of diversified scene deployment.
In one embodiment of the invention, the method further comprises: the MES client asynchronously acquires third production data generated by other clients from the kafka middleware; and the MES client stores the third production data into the first local database.
In one embodiment of the invention, the method further comprises: the non-MES client asynchronously acquires fourth production data generated by other clients from the kafka middleware; and the non-MES client stores the fourth production data into the second local database.
An embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores instructions executable by the processor, and the processor executes the instructions to implement the steps performed by the MES client in the method according to any embodiment of the present invention.
An embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores instructions executable by the processor, and the processor executes the instructions to implement the steps performed by the non-MES client in the method according to any embodiment of the present invention.
The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
The computer-readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (11)
1. An intelligent manufacturing system for a manufacturing line having an MES station and a non-MES station, the system comprising:
the MES client is deployed at an MES work station and is used for processing business logic corresponding to the MES client;
the non-MES client is deployed at a non-MES work station and is used for processing business logic corresponding to the non-MES client;
kafka middleware to store production data generated by the MES client and the non-MES client;
and the local database comprises a first local database deployed on the MES client and a second local database deployed on the non-MES client, wherein the first local database is used for storing first production data generated by the MES client, and the second local database is used for storing second production data generated by the non-MES client.
2. The system of claim 1, wherein the MES client is configured to receive a first production instruction, invoke corresponding business logic according to the first production instruction, and generate first production data, and wherein the MES client stores the first production data in the first local database and asynchronously stores the first production data in the kafka middleware.
3. The system of claim 1, wherein the MES client asynchronously retrieves third production data generated by other clients from the kafka middleware, the MES client storing the third production data to the first local database.
4. The system of claim 1, wherein the non-MES client obtains fourth production data generated by other clients from the kafka middleware, and wherein the non-MES client stores the fourth production data to the second local database.
5. The system of claim 1, wherein an MES process management package is deployed within the non-MES client, wherein the non-MES client invokes corresponding business logic via the MES process management package and generates second production data, and wherein the non-MES client stores the second production data to the second local database and asynchronously stores the second production data to the kafka middleware.
6. The system of claim 1, further comprising a project database, wherein the first production data and the second production data are stored in the project database.
7. A smart manufacturing method for use in the smart manufacturing system of any one of claims 1-6, the method comprising:
the MES client receives a first production instruction;
responding to the first production instruction, the MES client calls corresponding business logic and generates first production data;
the MES client sends the first production data to a first local database and kafka middleware for storage; wherein the first local database is deployed at the MES client;
the non-MES client receives a second production instruction;
responding to the second production instruction, calling corresponding business logic by the non-MES client and generating second production data;
the non-MES client sends the second production data to a second local database and kafka middleware for storage; wherein the second local database is deployed at the non-MES client.
8. The method of claim 7, further comprising:
the MES client asynchronously acquires third production data generated by other clients from the kafka middleware;
and the MES client stores the third production data into the first local database.
9. The method of claim 7, further comprising:
the non-MES client asynchronously acquires fourth production data generated by other clients from the kafka middleware;
and the non-MES client stores the fourth production data into the second local database.
10. An electronic device comprising a memory and a processor, the memory having stored thereon instructions executable by the processor, the processor when executing the instructions implementing the steps in the method of any of claims 7-9 performed by the MES client.
11. An electronic device comprising a memory and a processor, the memory having stored thereon instructions executable by the processor, the processor when executing the instructions implementing the steps in the method of any of claims 7-9 performed by the non-MES client.
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| CN117436180A (en) * | 2023-12-14 | 2024-01-23 | 中建三局集团有限公司 | Intelligent equipment production driving method, system and medium based on central database |
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| CN117436180B (en) * | 2023-12-14 | 2024-03-19 | 中建三局集团有限公司 | Intelligent equipment production driving method, system and medium based on central database |
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