CN116184964A - Automatic production management system - Google Patents
Automatic production management system Download PDFInfo
- Publication number
- CN116184964A CN116184964A CN202310239068.4A CN202310239068A CN116184964A CN 116184964 A CN116184964 A CN 116184964A CN 202310239068 A CN202310239068 A CN 202310239068A CN 116184964 A CN116184964 A CN 116184964A
- Authority
- CN
- China
- Prior art keywords
- information
- model
- product
- establishing
- production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 82
- 238000012544 monitoring process Methods 0.000 claims abstract description 40
- 238000003860 storage Methods 0.000 claims abstract description 28
- 238000004088 simulation Methods 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims description 71
- 230000008569 process Effects 0.000 claims description 66
- 238000003754 machining Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 4
- 239000007787 solid Substances 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 17
- 235000019504 cigarettes Nutrition 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- SUBDBMMJDZJVOS-UHFFFAOYSA-N 5-methoxy-2-{[(4-methoxy-3,5-dimethylpyridin-2-yl)methyl]sulfinyl}-1H-benzimidazole Chemical compound N=1C2=CC(OC)=CC=C2NC=1S(=O)CC1=NC=C(C)C(OC)=C1C SUBDBMMJDZJVOS-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000010923 batch production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
Abstract
The invention belongs to the technical field of intelligent management, and provides an automatic production management system which comprises an information acquisition module, a control module and a control module, wherein the information acquisition module is used for acquiring product information, production process information, equipment information, storage information and security monitoring information; the digital twin module is used for establishing a model and simulating according to the data of the information acquisition module, and specifically comprises the steps of establishing a product model according to product information, establishing a production process model according to production process information, establishing an equipment model according to equipment information, establishing a storage model according to storage information and establishing a security monitoring model according to security monitoring information; and the output module is used for displaying the simulation result of the digital twin module. Through the technical scheme, the problem of low efficiency of an automatic production management system in the prior art is solved.
Description
Technical Field
The invention belongs to the technical field of intelligent management, and relates to an automatic production management system.
Background
Under the development background of modern society, traditional production management of cigarette factories cannot guarantee production quality and production safety of the cigarette factories, and therefore the cigarette factories are required to pay attention to production management system construction. The existing production management mode needs to be improved in the production process of the cigarette factory, so that the production cost is reduced, and meanwhile, the economic benefit of the cigarette factory is improved. The automatic production management system is an information management system which is developed on the basis that enterprises are about to move to automation, monitors and coordinates the automatic production process, and can improve the production efficiency and the management level. At present, the existing automatic production management system has low intelligent degree, and the management refinement degree is required to be improved.
Disclosure of Invention
The invention provides an automatic production management system, which solves the problem of low efficiency of the automatic production management system in the prior art.
The technical scheme of the invention is realized as follows: comprising
The information acquisition module is used for acquiring product information, production process information, equipment information, storage information and security monitoring information;
the digital twin module is used for establishing a model and simulating according to the data of the information acquisition module, and specifically comprises establishing a product model according to the product information, establishing a production process model according to the production process information, establishing an equipment model according to the equipment information, establishing a storage model according to the storage information and establishing a security monitoring model according to the security monitoring information;
and the output module is used for displaying the simulation result of the digital twin module.
Further, the building a product model according to the product information specifically includes:
constructing a wire frame model, a curved surface model and a solid model based on the bottom-layer OpenCASCADE geometric modeling platform;
inserting a product design information configuration module, a product analysis information configuration module, a product process information configuration module and a product assembly information configuration module in a dynamic link library mode to realize product information configuration;
an external interface module is configured and used for importing STEP, IGES, STL model files, generating AMFB model basic bodies, exporting STEP, IGES, STL model files and reading model basic body data by an external system;
establishing an initial model according to the product design drawing and the initial parameters;
and carrying out finite element analysis according to the boundary conditions, and deforming or deleting the initial model to realize model optimization.
Further, the building a production process model according to the production process information specifically includes:
establishing station models of all stations on a production line, wherein any station model comprises station names, station serial numbers, equipment numbers, station types, NC line side paths, equipment names, station block codes, IP addresses and heights and widths of equipment which are in one-to-one correspondence, and the station types are divided into a transfer table, an operation table, a machine tool, a robot guide rail and a buffer zone;
acquiring and storing process basic information, wherein the process basic information comprises material information, part information, tool information, machine tool information, tool information and process term information;
acquiring process route information and storing the process route information into a process document library; the process route information comprises process information and tooling information, wherein the process information of any process comprises a machining center required by the process, a process overview, a process content and a process diagram; the tool information comprises tool, cutter and measuring tool information required by the working procedure;
determining a production schedule according to the process document library, wherein the production schedule mainly comprises a process route for determining each batch of production;
based on a virtual manufacturing environment, the assembly manufacturing process and the assembly manufacturing method are verified and evaluated, and numerical control machining simulation, assembly station level man-machine simulation and robot simulation of a machining workshop are performed through a product 3D model and a production workshop field model.
Further, the device information includes device operation information, and the device model is built according to the device information, specifically including:
by continuously collecting and intelligently analyzing the operational data, the optimal time for maintaining the machine and the plant components is predicted, and the machine responds quickly to anomalies and deviations from the threshold.
Further, the storage information comprises a goods shelf number and an electronic goods label which are in one-to-one correspondence, and the storage model is built according to the storage information, and specifically comprises the following steps:
displaying the shelf layout according to the shelf numbers;
and displaying the goods at the corresponding goods shelf positions according to the corresponding relation between the goods shelf numbers and the goods electronic labels.
Further, the security monitoring information includes illegal entry monitoring information, fire monitoring information and stacked object temperature information, and the security monitoring model is built according to the security monitoring information, specifically including:
displaying the illegal entry monitoring information;
and analyzing whether fire occurs or not by means of image processing according to the fire monitoring information, and predicting whether fire occurs or not according to the temperature information of the piled objects.
The working principle and the beneficial effects of the invention are as follows:
according to the invention, a product model is built according to product information, a production process model is built according to production process information, an equipment model is built according to equipment information, a storage model is built according to storage information, a security monitoring model is built according to security monitoring information, and visual management of each link in the production process is realized. Meanwhile, the model is used for simulating each module, and the simulation result can be used for actual production, so that the improvement of the refinement degree of production management is facilitated.
Drawings
The invention will be described in further detail with reference to the drawings and the detailed description.
FIG. 1 is a schematic diagram of an automated production management system according to the present invention;
FIG. 2 is a flow chart of product model creation in the present invention;
FIG. 3 is a flow chart of the process model creation in the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, 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.
As shown in fig. 1, the automated production management system of the present embodiment includes:
the information acquisition module is used for acquiring product information, production process information, equipment information, storage information and security monitoring information;
the digital twin module is used for establishing a model and simulating according to the data of the information acquisition module, and specifically comprises establishing a product model according to the product information, establishing a production process model according to the production process information, establishing an equipment model according to the equipment information, establishing a storage model according to the storage information and establishing a security monitoring model according to the security monitoring information;
and the output module is used for displaying the simulation result of the digital twin module.
According to the invention, a product model is built according to product information, a production process model is built according to production process information, an equipment model is built according to equipment information, a storage model is built according to storage information, a security monitoring model is built according to security monitoring information, and visual management of each link in the production process is realized. Meanwhile, the model is used for simulating each module, and the simulation result can be used for actual production, so that the improvement of the refinement degree of production management is facilitated.
Further, the building a product model according to the product information specifically includes:
s210: constructing a wire frame model, a curved surface model and a solid model by adopting an OpenCASCADE geometric modeling platform;
the geometry modeling module is based on the API implementation provided by the underlying OpenCASCADE geometry modeling platform, and the API functions of the OpenCASCADE are shown in Table 1 below:
TABLE 1
S220: inserting a product design information configuration module, a product analysis information configuration module, a product process information configuration module and a product assembly information configuration module in a dynamic link library mode to realize product information configuration;
in this embodiment, mydl.dll is created using the derived function key declspec (dllexport), and there are two functions in the dynamic link library to achieve the maximum and minimum numbers of two numbers, respectively.
Add at mydll.h:
extern"C"declspec(dllexport)int Max(int a,int b)；
exter"C"declspec(dllexport)int Min(int a,int b)；
paint addition in mydll. Cpp:
#include"MyDll.h"
int Max(int a,int b)
{ …. "functional code to be implemented
int Min(int a,int b)
{ …/functional code to be implemented }
After the dynamic link library is compiled successfully, the debug directory in the MyDll project is opened, and two files of MyDll.d and MyDlI.iib can be seen. The LB file contains DLL file name and function name in DLL file, the LB file is just "image file" corresponding to the DLL file, and compared with DLL file, LIB file length is much smaller, and it is needed to use in implicit link DLL. The reader may have noted that there is a keyword "extern C" in mydl.h, which allows other programming languages to access functions in you'll written DLLs.
The DLL file can be loaded at any time in the execution process, and can be unloaded at any time, so that the method is more suitable for the explanatory language. In the application program, the AfxLoadLibrary provided by LoadLibrary or MFC is used to explicitly call in the dynamic link library made by the user, the file name of the dynamic link library is the parameter of the two functions, and then the function to be introduced is obtained by GetProcAddress (). From there, the import function can be called as if it were a custom function in the application.
Before the application exits, the dynamic link library should be released with AfxFreeLibrary provided by FreeLibrary or MFC. The following is an example of calling a Max function in a DLL, defining a function prototype pointer pointing to the same as in the DLL by using a type definition key typef in the Max function in the DLL called through an explicit link, then loading the DLL into a current application program through loadlibrary () and returning a handle of a current DLL file, then obtaining a function pointer imported into the application program through a GetProcAddress0 function, and unloading the DLL file using FreeLibrary () after the function call is completed. Before compiling the program, the DLL file is first copied to the month record where the project is located or the Windows system directory.
S230: an external interface module is configured and used for importing STEP, IGES, STL model files, generating AMFB model basic bodies, exporting STEP, IGES, STL model files and reading model basic body data by an external system;
s240: establishing an initial model according to the product design drawing and the initial parameters;
s250: and carrying out finite element analysis according to the boundary conditions, and deforming or deleting the initial model to realize model optimization.
In this embodiment, the product information configuration module includes a product design information configuration, a product analysis information configuration, a product process information configuration, a product assembly information configuration, and the like. The module realizes corresponding functional interfaces for each independent unit information in the AMFB model, and develops an interactive interface for product information configuration of designers. In order to meet the diversity of independent unit information in an AMFB model and to face the field expandability, the module is realized in a plug-in mode, namely, configuration operation and an interactive interface of each independent unit information are packaged into a plug-in, corresponding functions are increased or reduced according to the system requirements, and 'plug-and-play' is realized, so that the expandability of the system functions is met.
Based on the initial model, multi-disciplinary simulation analysis (including analysis of mechanical system strength, stress, fatigue, vibration, noise, heat dissipation, movement, dust, humidity and the like) and multi-disciplinary joint simulation (including fluid-solid coupling, thermoelectric coupling, magneto-thermal structural coupling and the like) can be performed, and the initial model is optimally designed according to simulation results.
Further, the building a production process model according to the production process information specifically includes:
s310: establishing station models of all stations on a production line, wherein any station model comprises station names, station serial numbers, equipment numbers, station types, NC line side paths, equipment names, station block codes, IP addresses and heights and widths of equipment which are in one-to-one correspondence, and the station types are divided into a transfer table, an operation table, a machine tool, a robot guide rail and a buffer zone;
s320: acquiring and storing process basic information, wherein the process basic information comprises material information, part information, tool information, machine tool information, tool information and process term information;
s330: acquiring process route information and storing the process route information into a process document library; the process route information comprises process information and tooling information, wherein the process information comprises a machining center required by the process, a process overview, a process content and a process diagram; the tool information comprises tool, cutter and measuring tool information required by the working procedure;
s340: determining a production schedule according to the process document library, wherein the production schedule mainly comprises a process route for determining the batch production;
s350: based on a virtual manufacturing environment, the assembly manufacturing process and the assembly manufacturing method are verified and evaluated, and numerical control machining simulation, assembly station level man-machine simulation and robot simulation of a machining workshop are performed through a product 3D model and a production workshop field model.
Taking a flexible automation line of this example as an example, the bottom automation device includes 4 numerically controlled machine tools, 1 cleaning device, 2 machining centers, 1 robot guide rail, a 6-axis industrial robot, 4 tool exchange operation tables, a turntable, 1 automated stereoscopic warehouse, and a total of 14 station points, and the flexible automation line can also be extended by adding machining sites. All the equipment, namely the station point, corresponds to a model, and the model consists of a station name, a station serial number, an equipment number, a station type, an NC line side path, an equipment name, a station block code, a P address and the height and width of the equipment. The station types are divided into a transfer table, an operation table, a machine tool, a robot guide rail and a buffer zone.
After the bottom-layer automation equipment is organized, the actions and information of the equipment are fed back to the corresponding variables in the PLC control system to be maintained in a database, and the operation and state information of all the equipment in the whole production line can be controlled by reading and writing the variables.
And (3) compiling project information of the current part according to the operation instruction, wherein the project information comprises materials, auxiliary materials, blanking sizes of the part, whether external cooperation, uploading related documents, drawings and the like are adopted or not. After project information is compiled, a process route is compiled, and the process route mainly comprises process information, tooling information and other information. The process information is required to identify a machining center required for the process, a process overview, a process content, an uploading process diagram, and the like. The tool information mainly determines the tool, measuring tool, process remarks and other information required by the process.
In the embodiment, product information, process information, factory production line information and manufacturing resource information are organized and managed through a structural mode, so that the fine management of the product manufacturing process is achieved, virtual simulation verification is performed based on product process model information, and meanwhile accurate production scheduling input is provided for a manufacturing system.
The mechanical structure part with long production period and high modification cost is displayed and simulated in a virtual environment; the control part easy to construct and modify is realized by adopting a physical control system built by a PLC, a control signal is generated by the physical PLC control system, a mechanical structure in a virtual environment is taken as a controlled object, and the action process of the whole production line is simulated, so that the problems of the mechanical structure and the control system are found and solved before the physical model machine is built.
Further, the device information includes device operation information, and the device model is built according to the device information, specifically including:
by continuously collecting and intelligently analyzing the operational data, the optimal time for maintaining the machine and the plant components is predicted, and the machine responds quickly to anomalies and deviations from the threshold.
The equipment operation information is transmitted to the cloud end in real time, so that equipment operation optimization, predictability maintenance and plant condition are performed, and the conditions of the machine and the plant are insight, so that the equipment operation information responds to abnormal conditions and conditions deviating from a threshold value rapidly before the actual problem occurs.
Further, the storage information comprises a goods shelf number and an electronic goods label which are in one-to-one correspondence, and the storage model is built according to the storage information, and specifically comprises the following steps:
displaying the shelf layout according to the shelf numbers;
and displaying the goods at the corresponding goods shelf positions according to the corresponding relation between the goods shelf numbers and the goods electronic labels.
By establishing the storage model, the visualization of storage information is realized, and the storage information is convenient to count rapidly. Through setting up goods electronic tags, fix a position the goods, make things convenient for the searching of goods.
Further, the security monitoring information includes illegal entry monitoring information, fire monitoring information and stacked object temperature information, and the security monitoring model is built according to the security monitoring information, specifically including:
displaying the illegal entry monitoring information;
and analyzing whether fire occurs or not by means of image processing according to the fire monitoring information, and predicting whether fire occurs or not according to the temperature information of the piled objects.
And setting a camera in the key monitoring area, and if someone illegally enters the key monitoring area, sending out alarm information to remind people to check in time. Setting a camera in an area where fire is likely to occur, identifying whether fire occurs according to a camera monitoring image, and sending alarm information in time once the fire hazard is identified; for long-term stacked articles, the internal temperature is continuously increased, and when the temperature is increased to a certain degree, fire disaster can be caused.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (6)
1. An automated production management system, comprising:
the information acquisition module is used for acquiring product information, production process information, equipment information, storage information and security monitoring information;
the digital twin module is used for establishing a model and simulating according to the data of the information acquisition module, and specifically comprises establishing a product model according to the product information, establishing a production process model according to the production process information, establishing an equipment model according to the equipment information, establishing a storage model according to the storage information and establishing a security monitoring model according to the security monitoring information;
and the output module is used for displaying the simulation result of the digital twin module.
2. The automated production management system of claim 1, wherein: the building of the product model according to the product information specifically comprises the following steps:
constructing a wire frame model, a curved surface model and a solid model based on the bottom-layer OpenCASCADE geometric modeling platform;
inserting a product design information configuration module, a product analysis information configuration module, a product process information configuration module and a product assembly information configuration module in a dynamic link library mode to realize product information configuration;
an external interface module is configured and used for importing STEP, IGES, STL model files, generating AMFB model basic bodies, exporting STEP, IGES, STL model files and reading model basic body data by an external system;
establishing an initial model according to the product design drawing and the initial parameters;
and carrying out finite element analysis according to the boundary conditions, and deforming or deleting the initial model to realize model optimization.
3. The automated production management system of claim 1, wherein: the method for establishing the production process model according to the production process information specifically comprises the following steps:
establishing station models of all stations on a production line, wherein any station model comprises station names, station serial numbers, equipment numbers, station types, NC line side paths, equipment names, station block codes, IP addresses and heights and widths of equipment which are in one-to-one correspondence, and the station types are divided into a transfer table, an operation table, a machine tool, a robot guide rail and a buffer zone;
acquiring and storing process basic information, wherein the process basic information comprises material information, part information, tool information, machine tool information, tool information and process term information;
acquiring process route information and storing the process route information into a process document library; the process route information comprises process information and tooling information, wherein the process information of any process comprises a machining center required by the process, a process overview, a process content and a process diagram; the tool information comprises tool, cutter and measuring tool information required by the working procedure;
determining a production schedule according to the process document library, wherein the production schedule mainly comprises a process route for determining each batch of production;
based on a virtual manufacturing environment, the assembly manufacturing process and the assembly manufacturing method are verified and evaluated, and numerical control machining simulation, assembly station level man-machine simulation and robot simulation of a machining workshop are performed through a product 3D model and a production workshop field model.
4. The automated production management system of claim 1, wherein: the device information comprises device operation information, and the device model is built according to the device information, and specifically comprises the following steps:
by continuously collecting and intelligently analyzing the operational data, the optimal time for maintaining the machine and the plant components is predicted, and the machine responds quickly to anomalies and deviations from the threshold.
5. The automated production management system of claim 1, wherein: the storage information comprises a goods shelf number and an electronic goods label which are in one-to-one correspondence, and the storage model is built according to the storage information, and specifically comprises the following steps:
displaying the shelf layout according to the shelf numbers;
and displaying the goods at the corresponding goods shelf positions according to the corresponding relation between the goods shelf numbers and the goods electronic labels.
6. The automated production management system of claim 1, wherein: the security monitoring information comprises illegal entry monitoring information, fire monitoring information and stacked object temperature information, and the security monitoring model is built according to the security monitoring information and specifically comprises the following steps:
displaying the illegal entry monitoring information;
and analyzing whether fire occurs or not by means of image processing according to the fire monitoring information, and predicting whether fire occurs or not according to the temperature information of the piled objects.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310239068.4A CN116184964A (en) | 2023-03-13 | 2023-03-13 | Automatic production management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310239068.4A CN116184964A (en) | 2023-03-13 | 2023-03-13 | Automatic production management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116184964A true CN116184964A (en) | 2023-05-30 |
Family
ID=86432732
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310239068.4A Pending CN116184964A (en) | 2023-03-13 | 2023-03-13 | Automatic production management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116184964A (en) |
-
2023
- 2023-03-13 CN CN202310239068.4A patent/CN116184964A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Albers et al. | The reference system in the model of PGE: proposing a generalized description of reference products and their interrelations | |
| Wang et al. | Digital twin design for real-time monitoring–a case study of die cutting machine | |
| US11175650B2 (en) | Product knitting systems and methods | |
| Lu et al. | Current standards landscape for smart manufacturing systems | |
| EP3284033A1 (en) | Augmented manufacturing system | |
| CN112270116B (en) | Product package transportation statics analysis method, platform, storage medium and application | |
| CN102004954A (en) | Product information system and information integration method of product design system | |
| CN105354376A (en) | Method and system for interaction between BIM based multi-dimensional data and OA database | |
| Majstorovic et al. | Cyber-physical manufacturing systems-manufacturing metrology aspects | |
| Figueiras et al. | Big data provision for digital twins in industry 4.0 logistics processes | |
| CN115877736A (en) | Multi-robot cooperative work simulation monitoring method based on digital twin | |
| Shao et al. | An analysis of the new ISO 23247 series of standards on digital twin framework for manufacturing | |
| CN115982996A (en) | Digital twin modeling and simulation method and system for complex equipment manufacturing process | |
| Lidell et al. | The current and future challenges for virtual commissioning and digital twins of production lines | |
| CN104977906B (en) | Controlling a manufacturing plant with a manufacturing execution system | |
| Borgia et al. | Network part program approach based on the STEP-NC data structure for the machining of multiple fixture pallets | |
| Ang et al. | Automatic generation of IDEF0 models | |
| CN113592378A (en) | BOM construction method and management system of large complex equipment | |
| CN116184964A (en) | Automatic production management system | |
| Menghi et al. | A methodology for energy efficiency redesign of smart production systems | |
| CN114089709B (en) | Cross-domain multi-scale digital twin body construction method | |
| Heilala et al. | Life cycle and unit-cost analysis for modular reconfigurable flexible light assembly systems | |
| Johansson et al. | Information structure to support discrete event simulation in manufacturing systems | |
| Zhang et al. | An Expandable and Generalized Method for Equipment Information Reflection in Digital Twin Workshop Systems | |
| Algeo et al. | A state-of-the-art survey on product design and process planning integration mechanisms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |