CN109782714B - Virtual electronic intelligent manufacturing factory control system and control method thereof - Google Patents
Virtual electronic intelligent manufacturing factory control system and control method thereof Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 185
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Abstract
The invention discloses a virtual electronic intelligent manufacturing factory control system and a control method thereof. The system and the method have certain intelligence, universality, simplicity and reliability, and provide a brand-new and feasible method for realizing the industrial 4.0-based virtual electronic intelligent manufacturing factory. The system is suitable for upgrading innovation of electronic production enterprises and training and teaching of colleges and universities.
Description
Technical Field
The invention relates to a virtual electronic intelligent manufacturing factory control system and a control method thereof.
Background
In recent years, manufacturing has become an advanced point of global economic competition, and the world is thinking about how to deal with a new round of industrial revolution.
The electronic industry 4.0 is a high and new technology which is widely released for adapting to a multi-variety and small-batch production mode, is a complex system engineering and mainly comprises: the system comprises an electronic intelligent manufacturing production line, an internet and product customization system, a VR virtual simulation system, an industrial internet of things, a production and enterprise management informatization and big data cloud computing system. The method comprises the following main steps: the method comprises the steps of automation in the first step, informatization in the second step, interconnection in the third step and intellectualization in the fourth step.
The research and development of the industry 4.0 and related technologies abroad enter the application stage, mainly focus on machinery, automobile manufacturing and the like, and really realize few enterprises of the electronic industry 4.0, such as Siemens Chengdu factories and the like. The research and development of the domestic electronic industry 4.0 and related technologies mainly come from large-scale enterprises, such as Huashi, Zhongxing, Haier, Gregorian, and American enterprises, and the like, the improvement of the digital information-based EMS (electronic Manufacturing System) and the update of the Internet of things in the logistics industry are carried out, and the electronic industry 4.0 personalized and customized intelligent Manufacturing system is not broken through. The research and development of electronic industry 4.0 and related technologies in domestic colleges and universities is only limited to industrial 4.0 system structure, intelligent control theory, big data cloud computing and the like, and does not enter the application stage.
The smart manufacturing factory is the core of industry 4.0, and industry 4.0 personalized customized smart manufacturing systems of machinery and automobiles have been developed abroad, but the electronic industry does not yet exist. Because electronic products are varied, products designed by PCBs do not always meet the requirement of mass production, electronic production lines and industrial robots are various in types and high in automation degree, and electronic intelligent manufacturing factories difficultly form a unified and standardized manufacturing process and operation flow.
Disclosure of Invention
The invention aims to provide a virtual electronic intelligent manufacturing factory control system and a control method thereof.
The technical scheme for realizing the aim of the invention is that the virtual electronic intelligent manufacturing factory control system comprises a product customization system, an enterprise management system, a workshop management system, an expert intelligent system, a quality control expert system, an electronic VR virtual manufacturing factory and an internet for mutually communicating and connecting the systems;
the product customization system is used for receiving a PCB design document of a product customized by a user, automatically analyzing the manufacturability and manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm, and completing a sales order and a material list of the customized product;
the enterprise management system is used for finishing the establishment of factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
the expert intelligent system comprises a product manufacturing process intelligent design system and an equipment intelligent programming system, is used for completing the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification, and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
the workshop management system is used for finishing the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
the electronic VR virtual manufacturing factory is used for finding each process device in a roaming way according to a process file, a plan made by an enterprise management system and a plan made by a workshop management system, and finishing interactive operation of the selected process devices, and comprises the following steps: production preparation, production operation and production fault treatment;
and the quality control expert system is used for receiving the production operation data and the production fault processing data fed back by the electronic VR virtual manufacturing factory, generating a quality file and transmitting the quality file to the workshop management system.
The method comprises the following steps: the product customization system receives a PCB design document of a customized product, and automatically analyzes the manufacturability and the manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm to complete a sales order and a material list of the customized product;
step two: the enterprise management system finishes making factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
step three: the expert intelligent system completes the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
step four: the workshop management system finishes the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
step five: the electronic VR virtual manufacturing factory roams to find each process device according to a process file, a plan formulated by an enterprise management system and a plan formulated by a workshop management system, and finishes interactive operation of the selected process device, and comprises the following steps: production preparation, production operation and production fault treatment;
step six: and the quality control expert system receives the production operation data and the production fault processing data fed back by the electronic VR virtual manufacturing factory, generates a quality file, transmits the quality file to the workshop management system, and feeds back the quality file to the enterprise management system.
In the first step, the manufacturability and the manufacturing process complexity of the PCB design of the customized product are automatically analyzed through an electronic product PCB design analysis algorithm: firstly, setting characteristic rule values of physical and structural parameters of the PCB design according to enterprise standards, and then automatically analyzing whether the physical and structural parameters of all PCB designs of the customized product meet the requirements of the characteristic rule values by the PCB design analysis algorithm of the electronic product; the physical and structural parameters of the PCB design include: minimum inter-pad spacing (C)X，CY) Pad to via minimum spacing (F)X，FY) Minimum pad to via spacing (I)X，IY) The minimum distance (K) between the label and the edge of the PCBX，KY) Minimum distance between the positioning hole and the edge of the PCB (N)X，NY)。
Minimum spacing between the bonding pads
Minimum pad to via spacing
Minimum spacing between pad and via
Minimum distance between mark and PCB edge
Minimum distance between the positioning hole and the edge of the PCB
Wherein, (Aix, Aiy) is the center coordinate of the ith pad, (Bix, Biy) is the pad size of the ith pad, (Dix, Diy) is the center coordinate of the ith via, (phid) is the diameter of the ith via, (Gix, Giy) is the center coordinate of the ith through hole, (phig) is the diameter of the ith through hole, and (Jix, Jiy) is the center coordinate of the ith index, (phij) is the diameter of the ith index, (Px, Py) is the PCB board size, (Mix, Miy) is the center coordinate of the ith positioning hole, and (phiim) is the diameter of the ith positioning hole.
The expert intelligent system comprises a product manufacturing process intelligent design system and an equipment intelligent programming system;
the intelligent design system for the product manufacturing process automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm and verifies the manufacturing process flow and the process parameters through a virtual simulation system.
The method for intelligently designing the product manufacturing process comprises the following steps: firstly, establishing a process expert rule base based on an assembly process type and a primary chip type and a secondary chip type; according to the assembly process type and the primary and secondary chip type of the customized product, each procedure and corresponding equipment of the manufacturing process flow of the customized product are automatically determined by adopting a decision tree algorithm, the designed process flow is simulated and demonstrated by 3D animation, and the correctness and the rationality of the process flow are verified; and finally, automatically optimizing and setting the process parameters of each procedure of the manufacturing process flow.
The assembly process types include: FC mobile phone cameras, BGA computers, QFP household appliances, BGA/QFP industrial controls, BGA/QFN automotive electronics, SOP household appliances, PoP mobile phone communication products and MCM military;
the primary and secondary chip types include: FC. BGA, QFP, QFN, SOP, PoP, MCM, CHIP;
the process expert rule base comprises: the method comprises the following steps of (1) process flow rules of a typical assembly process type, production line configuration rules of a VR virtual manufacturing factory, and process parameter rules of a primary chip type and a secondary chip type of the typical assembly process type;
the decision tree algorithm is as follows: dividing subtrees according to the characteristics by using the form of a tree according to the characteristics of the assembly process type and the primary and secondary chip types, searching according to the characteristics of the subtrees, stopping searching the characteristics until the satisfaction degree is 1, and calling rule parameters in a process expert rule base; the function is:
wherein, D is the assembly process type and the primary and secondary chip type of the customized product, a is the defined assembly process type and the primary and secondary chip type, gain (D) is the assembly process type and the code of the primary and secondary chip type of the customized product, entropy (a) is the feature code of the defined assembly process type and the primary and secondary chip type, and gain _ rate (D) is the satisfaction.
The method of the intelligent programming system of the equipment comprises the following steps: according to the optimized customized product manufacturing process parameters, based on a program expert rule base, carrying out intelligent optimization programming and setting on a CAM program and parameters of manufacturing equipment, and simulating the working process of the equipment by using 3D animation according to the compiled CAM program of the manufacturing equipment;
the procedural expert rules library comprises: the system comprises a screen printing machine program rule, a chip mounter program rule, a dispenser program rule, a reflow soldering program rule, a component inserter program rule, a wave soldering program rule and an AOI tester program rule, wherein each program expert rule comprises an equipment working flow and a motion coordinate parameter;
the intelligent optimization programming and setting of the CAM program and parameters of the manufacturing equipment based on the program expert rule base are realized by automatically correcting the CAM program of the manufacturing equipment of the program expert rule base by using the process parameters optimized by the intelligent design system of the product manufacturing process;
according to the manufactured equipment CAM program, the working process of the 3D animation simulation equipment is as follows: according to the CAM program document of the manufacturing equipment, the method is automatically converted into 3D animation of equipment action, and the correctness and the reasonableness of the CAM program are visually detected.
The VR virtual manufacturing plant including: a mounting virtual workshop, a plug-in virtual workshop, a general mounting virtual workshop and an intelligent warehouse; the mounting virtual workshop comprises a low-speed production line, a medium-high speed production line, a high-precision production line and a lamination production line; the virtual plugging workshop comprises a plugging production line; the assembly virtual workshop comprises an assembly production line, a packaging production line and an industrial robot moving among the production lines; the intelligent warehouse comprises an element warehouse, a tool accessory warehouse, a semi-finished product warehouse, a finished product warehouse, an industrial robot and an AVG transport vehicle.
The production preparation is to complete production preparation operation of key equipment on a high-speed production line in a VR virtual manufacturing factory, and comprises the following steps: screen printer), chip mounter, reflow oven, wave soldering;
in the production operation, in a VR virtual manufacturing factory environment, according to the process flow of the customized product designed in the third step, equipment of each step is firstly found by roaming, and then online interactive operation of the equipment of each step is completed, wherein the production operation comprises the following steps: loading, production simulation operation and material taking; customizing the structural change of the product after the equipment processing of each procedure is finished by 3D simulation, and simulating the real production process of the product;
the fault processing is that in a VR virtual manufacturing factory, according to the set production fault alarm display, fault equipment is found by roaming, and the equipment fault processing is completed, and the fault processing method comprises the following steps: shutdown, processing and startup operation; production faults mainly include: the screen printer lacks solder paste, the chip mounter lacks components, and the wave soldering lacks solder.
After the technical scheme is adopted, the invention has the positive effects that: the system and the method have certain intelligence, universality, simplicity and reliability, and provide a brand-new and feasible method for realizing the industrial 4.0-based virtual electronic intelligent manufacturing factory. The system is suitable for upgrading innovation of electronic production enterprises and training and teaching of colleges and universities.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The present invention provides a solution to the above problems in the prior art, and the general idea of the present invention is as follows:
as shown in fig. 1, the virtual electronic intelligent manufacturing plant control system includes a product customization system, an enterprise management system, a workshop management system, an expert intelligent system, a quality control expert system, an electronic VR virtual manufacturing plant, and the internet communicatively connecting the aforementioned systems;
the product customization system is used for receiving a PCB design document of a product customized by a user, automatically analyzing the manufacturability and manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm, and completing a sales order and a material list of the customized product;
the enterprise management system is used for finishing the establishment of factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
the expert intelligent system comprises a product manufacturing process intelligent design system and an equipment intelligent programming system, is used for completing the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification, and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
the workshop management system is used for finishing the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
the electronic VR virtual manufacturing factory is used for finding each process device in a roaming way according to a process file, a plan made by an enterprise management system and a plan made by a workshop management system, and finishing interactive operation of the selected process devices, and comprises the following steps: production preparation, production operation and production fault treatment;
and the quality control expert system is used for receiving the production operation data and the production fault processing data fed back by the electronic VR virtual manufacturing factory, generating a quality file and transmitting the quality file to the workshop management system.
In the embodiments of the present invention, the terms referred to are:
the term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The technical solution of the present invention will be described and explained in detail by specific examples.
The method comprises the following steps: the product customization system receives a PCB design document of a customized product, and automatically analyzes the manufacturability and the manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm to complete a sales order and a material list of the customized product;
the manufacturability and manufacturing process complexity of the PCB design of the customized product are automatically analyzed by an electronic product PCB design analysis algorithm: firstly, setting characteristic rule values of physical and structural parameters of the PCB design according to enterprise standards, and then automatically analyzing whether the physical and structural parameters of all PCB designs of the customized product meet the requirements of the characteristic rule values by the PCB design analysis algorithm of the electronic product; the physical and structural parameters of the PCB design include: minimum inter-pad spacing (C)X，CY) Pad to via minimum spacing (F)X，FY) Minimum pad to via spacing (I)X，IY) The minimum distance (K) between the label and the edge of the PCBX，KY) Minimum distance between the positioning hole and the edge of the PCB (N)X，NY)。
Minimum spacing between the bonding pads
Minimum pad to via spacing
Minimum spacing between pad and via
Minimum distance between mark and PCB edge
Minimum distance between the positioning hole and the edge of the PCB
Wherein, (Aix, Aiy) is the center coordinate of the ith pad, (Bix, Biy) is the pad size of the ith pad, (Dix, Diy) is the center coordinate of the ith via, (phid) is the diameter of the ith via, (Gix, Giy) is the center coordinate of the ith through hole, (phig) is the diameter of the ith through hole, and (Jix, Jiy) is the center coordinate of the ith index, (phij) is the diameter of the ith index, (Px, Py) is the PCB board size, (Mix, Miy) is the center coordinate of the ith positioning hole, and (phiim) is the diameter of the ith positioning hole.
In this step, the product customization feature of industry 4.0 is achieved by analyzing the manufacturability and manufacturing process complexity of the PCB design.
Step two: the enterprise management system finishes making factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
step three: the expert intelligent system completes the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
the expert intelligent system comprises a product manufacturing process intelligent design system and an equipment intelligent programming system;
the intelligent design system for the product manufacturing process automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm and verifies the manufacturing process flow and the process parameters through a virtual simulation system.
The method for intelligently designing the product manufacturing process comprises the following steps: firstly, establishing a process expert rule base based on an assembly process type and a primary chip type and a secondary chip type; according to the assembly process type and the primary and secondary chip type of the customized product, each procedure and corresponding equipment of the manufacturing process flow of the customized product are automatically determined by adopting a decision tree algorithm, the designed process flow is simulated and demonstrated by 3D animation, and the correctness and the rationality of the process flow are verified; and finally, automatically optimizing and setting the process parameters of each procedure of the manufacturing process flow.
The assembly process types include: FC mobile phone cameras, BGA computers, QFP household appliances, BGA/QFP industrial controls, BGA/QFN automotive electronics, SOP household appliances, PoP mobile phone communication products and MCM military;
the primary and secondary chip types include: FC. BGA, QFP, QFN, SOP, PoP, MCM, CHIP;
the process expert rule base comprises: the method comprises the following steps of (1) process flow rules of a typical assembly process type, production line configuration rules of a VR virtual manufacturing factory, and process parameter rules of a primary chip type and a secondary chip type of the typical assembly process type;
the decision tree algorithm is as follows: dividing subtrees according to the characteristics by using the form of a tree according to the characteristics of the assembly process type and the primary and secondary chip types, searching according to the characteristics of the subtrees, stopping searching the characteristics until the satisfaction degree is 1, and calling rule parameters in a process expert rule base; the function is:
wherein, D is the assembly process type and the primary and secondary chip type of the customized product, a is the defined assembly process type and the primary and secondary chip type, gain (D) is the assembly process type and the code of the primary and secondary chip type of the customized product, entropy (a) is the feature code of the defined assembly process type and the primary and secondary chip type, and gain _ rate (D) is the satisfaction.
The method of the intelligent programming system of the equipment comprises the following steps: according to the optimized customized product manufacturing process parameters, based on a program expert rule base, carrying out intelligent optimization programming and setting on a CAM program and parameters of manufacturing equipment, and simulating the working process of the equipment by using 3D animation according to the compiled CAM program of the manufacturing equipment;
the procedural expert rules library comprises: the system comprises a screen printing machine program rule, a chip mounter program rule, a dispenser program rule, a reflow soldering program rule, a component inserter program rule, a wave soldering program rule and an AOI tester program rule, wherein each program expert rule comprises an equipment working flow and a motion coordinate parameter;
the intelligent optimization programming and setting of the CAM program and parameters of the manufacturing equipment based on the program expert rule base are realized by automatically correcting the CAM program of the manufacturing equipment of the program expert rule base by using the process parameters optimized by the intelligent design system of the product manufacturing process;
according to the manufactured equipment CAM program, the working process of the 3D animation simulation equipment is as follows: according to the CAM program document of the manufacturing equipment, the method is automatically converted into 3D animation of equipment action, and the correctness and the reasonableness of the CAM program are visually detected.
Step four: the workshop management system finishes the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
step five: the electronic VR virtual manufacturing factory roams to find each process device according to a process file, a plan formulated by an enterprise management system and a plan formulated by a workshop management system, and finishes interactive operation of the selected process device, and comprises the following steps: production preparation, production operation and production fault treatment;
the VR virtual manufacturing plant including: a mounting virtual workshop, a plug-in virtual workshop, a general mounting virtual workshop and an intelligent warehouse; the mounting virtual workshop comprises a low-speed production line, a medium-high speed production line, a high-precision production line and a lamination production line; the virtual plugging workshop comprises a plugging production line; the assembly virtual workshop comprises an assembly production line, a packaging production line and an industrial robot moving among the production lines; the intelligent warehouse comprises an element warehouse, a tool accessory warehouse, a semi-finished product warehouse, a finished product warehouse, an industrial robot and an AVG transport vehicle.
The production preparation is to complete production preparation operation of key equipment on a high-speed production line in a VR virtual manufacturing factory, and comprises the following steps: screen printer), chip mounter, reflow oven, wave soldering;
in the production operation, in a VR virtual manufacturing factory environment, according to the process flow of the customized product designed in the third step, equipment of each step is firstly found by roaming, and then online interactive operation of the equipment of each step is completed, wherein the production operation comprises the following steps: loading, production simulation operation and material taking; customizing the structural change of the product after the equipment processing of each procedure is finished by 3D simulation, and simulating the real production process of the product; this step realizes the characteristics of industrial 4.0 virtual manufacturing.
The fault processing is that in a VR virtual manufacturing factory, according to the set production fault alarm display, fault equipment is found by roaming, and the equipment fault processing is completed, and the fault processing method comprises the following steps: shutdown, processing and startup operation; production faults mainly include: the screen printer lacks solder paste, the chip mounter lacks components, and the wave soldering lacks solder.
Step six: and the quality control expert system receives the production operation data and the production fault processing data fed back by the electronic VR virtual manufacturing factory, generates a quality file, transmits the quality file to the workshop management system, and feeds back the quality file to the enterprise management system. In this step, the information production characteristic of industrial 4.0 is realized.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Virtual electronic intelligence manufacturing factory control system, its characterized in that: the system comprises a product customization system, an enterprise management system, a workshop management system, an expert intelligent system, a quality control expert system, an electronic VR virtual manufacturing factory and an internet for mutually communicating and connecting the systems;
the product customization system is used for receiving a PCB design document of a product customized by a user, automatically analyzing the manufacturability and manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm, and completing a sales order and a material list of the customized product;
the enterprise management system is used for finishing the establishment of factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
the expert intelligent system comprises a product manufacturing process intelligent design system and an equipment intelligent programming system, is used for completing the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification, and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
the workshop management system is used for finishing the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
the electronic VR virtual manufacturing factory is used for finding each process device in a roaming way according to a process file, a plan made by an enterprise management system and a plan made by a workshop management system, and finishing interactive operation of the selected process devices, and comprises the following steps: production preparation, production operation and production fault treatment;
the quality control expert system is used for receiving production operation data and production fault processing data fed back by the electronic VR virtual manufacturing factory, generating quality files and transmitting the quality files to the workshop management system; the method for intelligently designing the product manufacturing process comprises the following steps: firstly, establishing a process expert rule base based on an assembly process type and a primary chip type and a secondary chip type; according to the assembly process type and the primary and secondary chip type of the customized product, each procedure and corresponding equipment of the manufacturing process flow of the customized product are automatically determined by adopting a decision tree algorithm, the designed process flow is simulated and demonstrated by 3D animation, and the correctness and the rationality of the process flow are verified; and finally, automatically optimizing and setting the process parameters of each procedure of the manufacturing process flow.
2. The control method of the virtual electronic intelligent fab control system of claim 1, comprising the steps of:
the method comprises the following steps: the product customization system receives a PCB design document of a customized product, and automatically analyzes the manufacturability and the manufacturing process complexity of the PCB design of the customized product through an electronic product PCB design analysis algorithm to complete a sales order and a material list of the customized product;
step two: the enterprise management system finishes making factory-level sales, financial and logistics plans according to the sales order and the material list of the customized product;
step three: the expert intelligent system completes the intelligent design of the manufacturing process of the customized product and the intelligent programming of the manufacturing equipment, automatically determines the manufacturing process flow and the process parameters of the customized product by adopting a decision tree algorithm, performs virtual simulation verification and outputs a process file containing the manufacturing process flow and the process parameters of the customized product;
step four: the workshop management system finishes the formulation of workshop-level yield, process flow, logistics, quality, billboard and monitoring plan according to the plan and the process file formulated by the enterprise management system;
step five: the electronic VR virtual manufacturing factory roams to find each process device according to a process file, a plan formulated by an enterprise management system and a plan formulated by a workshop management system, and finishes interactive operation of the selected process device, and comprises the following steps: production preparation, production operation and production fault treatment;
step six: and the quality control expert system receives the production operation data and the production fault processing data fed back by the electronic VR virtual manufacturing factory, generates a quality file, transmits the quality file to the workshop management system, and feeds back the quality file to the enterprise management system.
3. The control method of the virtual electronic intelligent fab control system of claim 2, wherein:
in the first step, the manufacturability and the manufacturing process complexity of the PCB design of the customized product are automatically analyzed through an electronic product PCB design analysis algorithm: firstly, setting the characteristic rule values of the physical and structural parameters of the PCB design according to enterprise standards, and then, setting the characteristic rule values of the physical and structural parameters of the PCB design according to the enterprise standardsThe PCB design analysis algorithm of the electronic product automatically analyzes whether physical and structural parameters of all PCB designs of the customized product meet the requirements of characteristic rule values; the physical and structural parameters of the PCB design include: minimum inter-pad spacing (C)X，CY) Pad to via minimum spacing (F)X，FY) Minimum pad to via spacing (I)X，IY) The minimum distance (K) between the label and the edge of the PCBX，KY) Minimum distance between the positioning hole and the edge of the PCB (N)X，NY)。
4. The control method of the virtual electronic intelligent fab control system of claim 3, wherein:
minimum spacing between the bonding pads
Minimum pad to via spacing
Minimum spacing between pad and via
Minimum distance between mark and PCB edge
Minimum distance between the positioning hole and the edge of the PCB
Wherein, (Aix, Aiy) is the center coordinate of the ith pad, (Bix, Biy) is the pad size of the ith pad, (Dix, Diy) is the center coordinate of the ith via, (phid) is the diameter of the ith via, (Gix, Giy) is the center coordinate of the ith through hole, (phig) is the diameter of the ith through hole, and (Jix, Jiy) is the center coordinate of the ith index, (phij) is the diameter of the ith index, (Px, Py) is the PCB board size, (Mix, Miy) is the center coordinate of the ith positioning hole, and (phiim) is the diameter of the ith positioning hole.
5. The control method of the virtual electronic intelligent fab control system of claim 4, wherein:
the assembly process types include: FC mobile phone cameras, BGA computers, QFP household appliances, BGA/QFP industrial controls, BGA/QFN automotive electronics, SOP household appliances, PoP mobile phone communication products and MCM military;
the primary and secondary chip types include: FC. BGA, QFP, QFN, SOP, PoP, MCM, CHIP;
the process expert rule base comprises: the method comprises the following steps of (1) process flow rules of a typical assembly process type, production line configuration rules of a VR virtual manufacturing factory, and process parameter rules of a primary chip type and a secondary chip type of the typical assembly process type;
the decision tree algorithm is as follows: dividing subtrees according to the characteristics by using the form of a tree according to the characteristics of the assembly process type and the primary and secondary chip types, searching according to the characteristics of the subtrees, stopping searching the characteristics until the satisfaction degree is 1, and calling rule parameters in a process expert rule base; the function is:
wherein, D is the assembly process type and the primary and secondary chip type of the customized product, a is the defined assembly process type and the primary and secondary chip type, gain (D) is the encoding of the assembly process type and the primary and secondary chip type of the customized product, entry (a) is the feature encoding of the defined assembly process type and the primary and secondary chip type, and gain _ rate (D) is the information gain rate.
6. The control method of the virtual electronic intelligent fab control system of claim 5, wherein:
the method of the intelligent programming system of the equipment comprises the following steps: according to the optimized customized product manufacturing process parameters, based on a program expert rule base, carrying out intelligent optimization programming and setting on a CAM program and parameters of manufacturing equipment, and simulating the working process of the equipment by using 3D animation according to the compiled CAM program of the manufacturing equipment;
the procedural expert rules library comprises: the system comprises a screen printing machine program rule, a chip mounter program rule, a dispenser program rule, a reflow soldering program rule, a component inserter program rule, a wave soldering program rule and an AOI tester program rule, wherein each program expert rule comprises an equipment working flow and a motion coordinate parameter;
the intelligent optimization programming and setting of the CAM program and parameters of the manufacturing equipment based on the program expert rule base are realized by automatically correcting the CAM program of the manufacturing equipment of the program expert rule base by using the process parameters optimized by the intelligent design system of the product manufacturing process;
according to the manufactured equipment CAM program, the working process of the 3D animation simulation equipment is as follows: according to the CAM program document of the manufacturing equipment, the method is automatically converted into 3D animation of equipment action, and the correctness and the reasonableness of the CAM program are visually detected.
7. The control method of the virtual electronic intelligent fab control system of claim 6, wherein:
the VR virtual manufacturing plant including: a mounting virtual workshop, a plug-in virtual workshop, a general mounting virtual workshop and an intelligent warehouse; the mounting virtual workshop comprises a low-speed production line, a medium-high speed production line, a high-precision production line and a lamination production line; the virtual plugging workshop comprises a plugging production line; the assembly virtual workshop comprises an assembly production line, a packaging production line and an industrial robot moving among the production lines; the intelligent warehouse comprises an element warehouse, a tool accessory warehouse, a semi-finished product warehouse, a finished product warehouse, an industrial robot and an AVG transport vehicle.
8. The control method of the virtual electronic intelligent fab control system of claim 7, wherein:
the production preparation is to complete production preparation operation of key equipment on a high-speed production line in a VR virtual manufacturing factory, and comprises the following steps: screen printer), chip mounter, reflow oven, wave soldering;
in the production operation, in a VR virtual manufacturing factory environment, according to the process flow of the customized product designed in the third step, equipment of each step is firstly found by roaming, and then online interactive operation of the equipment of each step is completed, wherein the production operation comprises the following steps: loading, production simulation operation and material taking; customizing the structural change of the product after the equipment processing of each procedure is finished by 3D simulation, and simulating the real production process of the product;
the fault processing is that in a VR virtual manufacturing factory, according to the set production fault alarm display, fault equipment is found by roaming, and the equipment fault processing is completed, and the fault processing method comprises the following steps: shutdown, processing and startup operation; production faults mainly include: the screen printer lacks solder paste, the chip mounter lacks components, and the wave soldering lacks solder.
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