CN113534760A - Manufacturing industry factory management system based on digital twin platform - Google Patents
Manufacturing industry factory management system based on digital twin platform Download PDFInfo
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- G05B19/00—Programme-control systems
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- 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], 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], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- 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
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Abstract
The invention discloses a manufacturing industry factory management system based on a digital twin platform, which comprises a data acquisition and butt joint module, a data processing center module and a digital twin platform module, wherein the digital twin platform module comprises a production management module, a material management module, a personnel management module, an equipment management module, a quality management module and an intelligent monitoring module. The invention can integrate and summarize all production data information uniformly according to the actual production logical relationship, thereby forming an integrated scheduling management system, solving the problems of scattered production information and difficult uniform systematic management, solving the problems of poor data readability and difficult understanding caused by complex and messy data, greatly improving the management efficiency and reducing the mental labor intensity of managers.
Description
Technical Field
The invention relates to the technical field of manufacturing factory management, in particular to a manufacturing factory management system based on a digital twin platform.
Background
Plant management is an activity of managing a production process and a producer by using activities such as planning, organization, human consumption, guidance, control, and the like in order to more effectively improve plant efficiency and product quality,
the existing manufacturing factories have realized automation, digitization and information management to a certain extent, for example, the manufacturing factories are provided with video monitoring systems, access control systems, perimeter security systems, intelligent lighting systems, fire alarm systems, factory production and management information systems and multimedia display systems, wherein the video monitoring systems comprise camera devices installed in each defense area, each camera device collects video image information of the defense area and then transmits the video image information to a monitoring room, workers monitor the condition of the defense area, the fire alarm system comprises smoke sensors or temperature sensors and other devices for detecting the fire condition, the fire alarm system also comprises an alarm for sending out alarm signals when the fire condition is detected, and also comprises a central control device, conference devices, sound devices and the like for displaying image information and audio information, thus being visible, at present, video monitoring systems, access control systems, perimeter safety systems, intelligent lighting systems, fire alarm systems, factory production and management information systems and multimedia display systems of manufacturing factories are 'owned' and do not need to meet the occurrence of some abnormal events or accidents, effective linkage is lacked among the systems, a series of emergency plans are often made and completed manually by related workers, so as to deal with the occurrence of various unexpected situations, more places needing manual intervention are needed, the intelligent degree is not high, the management of materials in the manufacturing factories is also lacked, and the management of pre-sale and post-sale services is also not high.
Therefore, there is a need to provide a manufacturing factory management system based on a digital twin platform to solve the above problems.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a manufacturing industry factory management system based on a digital twin platform.
The invention provides a manufacturing industry factory management system based on a digital twin platform, which comprises a data acquisition and butt joint module, a data processing center module and a digital twin platform module, wherein the digital twin platform module comprises a production management module, a material management module, a personnel management module, an equipment management module, a quality management module and an intelligent monitoring module;
the data acquisition and docking module is used for docking equipment and related sensors to acquire operation data of the related equipment and a PLC control system of the related equipment;
the data processing center module is used for processing the production data, the data, the document data and the information data which are acquired by the data acquisition and butt joint module;
the digital twin platform module is used for docking various real-time production data, driving the virtual workshops to synchronously run in real time through a systematic mechanism model system, and automatically sending workshop work guidance suggestions, scheduling instructions, equipment control instructions and the like through data analysis and monitoring or through intervention of management personnel, so as to drive and control the entity workshops to work and monitor the execution progress.
Preferably, the data acquisition and docking module mainly docks the following existing information system to acquire related data:
a. MES system: carrying out butt joint to obtain production related comprehensive data;
b. an SAP system; obtaining planning and scheduling data in a butt joint mode;
c. and (3) an SCADA system: docking to obtain equipment related data;
d. QMS system: butt joint to obtain production quality related data;
e. the process management system comprises: butt joint to obtain relevant information data such as production technical files, solutions, production process data and the like;
f. electronic label picking system: and (5) docking to obtain material management data.
Preferably, the production management module includes:
a. production plan management, namely acquiring data information such as production scheduling plans, process indexes, resource matching conditions and the like from APS (automatic planning system), ERP (enterprise resource planning), MES (manufacturing execution system) and other systems, and supervising plan execution conditions according to real-time data in an execution process;
b. the production process management and statistics mainly comprise the following steps: the overall production efficiency, the productivity, the yield and the like of a factory are realized, the production process management statistics is carried out by depending on detailed SOP data of each process and combining with real-time counting sensor data of production line processes, the analysis statistics can be carried out from multiple dimensions of the whole line, the working sections, the stations and the like, and the data can be presented in a three-dimensional simulation scene in a data billboard mode;
c. analyzing the production efficiency and the tempo, accurately counting and calculating the efficiency and the tempo of all production links, finding out the problem of the production efficiency in time, carrying out real-time statistical analysis on the production cycle time of each production link, calculating the real-time dynamic production efficiency according to data analysis, carrying out comprehensive statistical analysis on the production efficiency from the perspective of a macroscopic full production flow, and accurately positioning the production bottleneck;
d. production execution and cooperation, taking assembly production as a main line, monitoring the cooperation condition of each production element in the production process, and comprising the following steps: the matching of materials, personnel's state, equipment state etc. through real-time data analysis, in time detect the problem place, carry out allotment in coordination to production work, for example: according to the real-time production efficiency, the material preparation conditions are contrastingly detected, and the material supplementing time and quantity are predicted in advance;
e. analyzing the production cost, fusing cost element data such as material consumption, labor, energy consumption and the like by utilizing a digital twin mechanism model system, accessing a financial cost system, and counting the actual effective production cost in real time;
f. and (3) production tracing, namely, a digital twin system based on real-time production data is communicated and butted with a coding management system, the production tracing is realized through a mode of combining twin data tracing, product coding and bar codes in a multi-dimensional and full link mode, and information such as product batch, materials, process parameters, production machines, production time, production teams and related responsible persons can be traced, for example, when a quality inspection link detects a defective product, the system can directly display information such as the defective product batch, the materials, the production machines, production responsible persons and the like.
Preferably, the material management module performs comprehensive management of producing materials, materials and storage by interfacing the data related to materials, storage and materials in the equipment IOT and the related system and combining with the logic operation of the digital twin simulation mechanism, and mainly includes:
a. warehousing management: according to the data of the storage related management system, mechanism logic modeling is carried out on a storage system by combining with the related real-time data of storage and logistics equipment, and various storage related information is managed through data model logic analysis, wherein the storage related information comprises the storage material type number, the storage position use condition, the storage turnover rate, the stagnant storage positioning alarm and the like, and meanwhile, the real-time storage state condition is visually displayed in a three-dimensional visual form;
b. production material management: the material using information of each operation link of the SOP is utilized, and the online material using condition is counted in real time by combining production counting;
c. and (3) material distribution management in the plant: through integrated access of logistics distribution data, reading and integrated display of a distribution plan, and through IOT data acquisition of equipment, the logistics distribution conditions including logistics routes, equipment states, material distribution states and the like are dynamically and visually monitored;
d. supply chain management: the management integration of the data information of the supply chain is mainly carried out by butting a related management system or collecting related management data, and the method mainly comprises the following steps: inspection reject ratio, defective product disposal, delivery timeliness, order integrity, raw material inventory, exception management and the like.
Preferably, the personnel management module is mainly combined with production dispatching, real-time production state and data statistics, and personnel related data files, and utilizes the production logic model to perform associated docking and reintegration on all data related to personnel, so as to form a personnel management system based on digital twins, thereby performing three-dimensional comprehensive management on production personnel, and mainly comprises:
a. personnel attendance and configuration, wherein personnel attendance and configuration conditions are counted by using plan scheduling, personnel dispatching and attendance record, and personnel post layout and data presentation are carried out in a three-dimensional visual mode;
b. man-hour, output, work efficiency, etc. And (4) performing statistics on production data and efficiency of each section/station, matching teams and personnel working at related posts according to worker assignment, and performing data operation comparison to perform real-time statistics on the teams and the personnel.
Preferably, the equipment management module mainly utilizes the IOT data of the equipment and the related labor information of equipment maintenance and repair, and performs digital twin-based management on each item of equipment by combining all the production data.
Preferably, the quality management module mainly includes:
a. data such as market fault rate and the like except for the workshop production process are mainly butted with relevant quality management data to carry out integrated information data integration;
b. quality data are collected or counted manually in a quality inspection link to report, a twin system analyzes according to the statistical condition, and production tracing can be performed on specific quality problems, for example: when the quality inspection step detects defective products, the system can directly display the information of defective product batches, materials, production machines, production accountants and the like.
Preferably, the intelligent monitoring module mainly comprises:
a. intelligent analysis, auxiliary management: the virtual twin system is used for analyzing and evaluating data in real time by utilizing a production mechanism model based on real-time production data, plays a role of a management secretary in the production management process, automatically monitors the actions of field production and carries out data analysis in real time, automatically discovers the problem of spider silk marks in the field production, and gives related analysis suggestions and related data information while reminding managers of paying attention;
b. automated scheduling and data support: the system can automatically send a work instruction confirmed by a manager to relevant field personnel and equipment, and can update data in real time according to the field work progress and state and reanalyze the data;
c. full-dimensional high-precision monitoring management:
(1) the data of millisecond-level delay is synchronous, the information integration is carried out in all directions without dead angles, and the information of the whole process runs through from raw materials to finished products, from cost to efficiency, from individuals to the whole situation; the system automatically analyzes the production process data, the management precision is realized, the workload of managers is greatly reduced, and the management efficiency is improved;
(2) through a real-time synchronous three-dimensional visual interface, managers can know the macroscopic overall production condition immediately and can also clearly see each production detail on site and the data generation process, and the high transparency of production data is realized.
d. Self-defining a monitoring report:
(1) the system monitors according to real-time production data, forms a real-time data monitoring report after statistical calculation, and can set the information content of the report needing to be monitored and displayed in real time in a self-defined manner according to requirements;
(2) different report forms templates are preset from the management function and are divided into production management, material management, personnel management, equipment management and quality management;
(3) specific parameters can be selected by self-definition to be added into the monitoring report.
The invention has the following beneficial effects:
1. all production data information can be integrated and summarized uniformly according to the actual production logic relation, so that an integrated scheduling management system is formed, and the problems that the production information is scattered and the uniform and systematic management is difficult are solved;
2. the real-time production data information can be unified and summarized and is synchronous with production field data in real time, production real-time monitoring is carried out, and the problem that the production information cannot be immediately obtained due to the fact that the data information needs to be manually collected, sorted, summarized and reported is solved;
3. the real-time data of a production field can be accessed, abstract data are changed into popular and easily understood simulation pictures, the readability of the data is improved, massive data can be clear at a glance, and the problems of poor data readability and difficulty in understanding caused by complex and messy data are solved;
4. the intelligent management system can utilize big data analysis and artificial intelligence technology to intelligently analyze and manage workshop production, solves the problems of poor instantaneity, large workload and low standardization caused by traditional artificial production analysis, greatly improves the management efficiency and reduces the mental labor intensity of managers.
Drawings
FIG. 1 is a block diagram of a system architecture of a digital twin platform based manufacturing plant management system.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Referring to fig. 1, the manufacturing industry factory management system based on the digital twin platform provided by the invention comprises a data acquisition and docking module, a data processing center module and a digital twin platform module, wherein the digital twin platform module comprises a production management module, a material management module, a personnel management module, an equipment management module, a quality management module and an intelligent monitoring module;
the data acquisition and docking module is used for docking equipment and related sensors to acquire operation data of the related equipment and a PLC control system of the related equipment;
the data processing center module is used for processing the production data, the data, the document data and the information data which are acquired by the data acquisition and butt joint module;
the digital twin platform module is used for docking various real-time production data, driving the virtual workshops to synchronously run in real time through a systematic mechanism model system, and automatically sending workshop work guidance suggestions, scheduling instructions, equipment control instructions and the like through data analysis and monitoring or through intervention of management personnel, so as to drive and control the entity workshops to work and monitor the execution progress.
In the invention, the data acquisition and docking module is mainly docked with the existing following informatization systems to obtain related data:
a. MES system: carrying out butt joint to obtain production related comprehensive data;
b. an SAP system; obtaining planning and scheduling data in a butt joint mode;
c. and (3) an SCADA system: docking to obtain equipment related data;
d. QMS system: butt joint to obtain production quality related data;
e. the process management system comprises: butt joint to obtain relevant information data such as production technical files, solutions, production process data and the like;
f. electronic label picking system: and (5) docking to obtain material management data.
In the present invention, the production management module comprises:
a. production plan management, namely acquiring data information such as production scheduling plans, process indexes, resource matching conditions and the like from APS (automatic planning system), ERP (enterprise resource planning), MES (manufacturing execution system) and other systems, and supervising plan execution conditions according to real-time data in an execution process;
b. the production process management and statistics mainly comprise the following steps: the overall production efficiency, the productivity, the yield and the like of a factory are realized, the production process management statistics is carried out by depending on detailed SOP data of each process and combining with real-time counting sensor data of production line processes, the analysis statistics can be carried out from multiple dimensions of the whole line, the working sections, the stations and the like, and the data can be presented in a three-dimensional simulation scene in a data billboard mode;
c. analyzing the production efficiency and the tempo, accurately counting and calculating the efficiency and the tempo of all production links, finding out the problem of the production efficiency in time, carrying out real-time statistical analysis on the production cycle time of each production link, calculating the real-time dynamic production efficiency according to data analysis, carrying out comprehensive statistical analysis on the production efficiency from the perspective of a macroscopic full production flow, and accurately positioning the production bottleneck;
d. production execution and cooperation, taking assembly production as a main line, monitoring the cooperation condition of each production element in the production process, and comprising the following steps: the matching of materials, personnel's state, equipment state etc. through real-time data analysis, in time detect the problem place, carry out allotment in coordination to production work, for example: according to the real-time production efficiency, the material preparation conditions are contrastingly detected, and the material supplementing time and quantity are predicted in advance;
e. analyzing the production cost, fusing cost element data such as material consumption, labor, energy consumption and the like by utilizing a digital twin mechanism model system, accessing a financial cost system, and counting the actual effective production cost in real time;
f. and (3) production tracing, namely, a digital twin system based on real-time production data is communicated and butted with a coding management system, the production tracing is realized through a mode of combining twin data tracing, product coding and bar codes in a multi-dimensional and full link mode, and information such as product batch, materials, process parameters, production machines, production time, production teams and related responsible persons can be traced, for example, when a quality inspection link detects a defective product, the system can directly display information such as the defective product batch, the materials, the production machines, production responsible persons and the like.
In the invention, the material management module carries out comprehensive management of producing materials, materials and storage by butt-joint equipment IOT and related data of materials, storage and materials in related systems and combining with logic operation of a digital twin simulation mechanism, and mainly comprises:
a. warehousing management: according to the data of the storage related management system, mechanism logic modeling is carried out on a storage system by combining with the related real-time data of storage and logistics equipment, and various storage related information is managed through data model logic analysis, wherein the storage related information comprises the storage material type number, the storage position use condition, the storage turnover rate, the stagnant storage positioning alarm and the like, and meanwhile, the real-time storage state condition is visually displayed in a three-dimensional visual form;
b. production material management: the material using information of each operation link of the SOP is utilized, and the online material using condition is counted in real time by combining production counting;
c. and (3) material distribution management in the plant: through integrated access of logistics distribution data, reading and integrated display of a distribution plan, and through IOT data acquisition of equipment, the logistics distribution conditions including logistics routes, equipment states, material distribution states and the like are dynamically and visually monitored;
d. supply chain management: the management integration of the data information of the supply chain is mainly carried out by butting a related management system or collecting related management data, and the method mainly comprises the following steps: inspection reject ratio, defective product disposal, delivery timeliness, order integrity, raw material inventory, exception management and the like.
In the invention, a personnel management module mainly combines production dispatching, real-time production state and data statistics, and personnel related data files, and utilizes a production logic model to carry out correlation butt joint and reintegration on all data related to personnel to form a personnel management system based on digital twins, thereby carrying out three-dimensional comprehensive management on production personnel, and mainly comprising the following steps:
a. personnel attendance and configuration, wherein personnel attendance and configuration conditions are counted by using plan scheduling, personnel dispatching and attendance record, and personnel post layout and data presentation are carried out in a three-dimensional visual mode;
b. man-hour, output, work efficiency, etc. And (4) performing statistics on production data and efficiency of each section/station, matching teams and personnel working at related posts according to worker assignment, and performing data operation comparison to perform real-time statistics on the teams and the personnel.
In the invention, the equipment management module mainly utilizes the IOT data of the equipment and the related labor information of equipment maintenance and repair and combines all the production data to manage each item of equipment based on digital twin.
In the invention, the quality management module mainly comprises:
a. data such as market fault rate and the like except for the workshop production process are mainly butted with relevant quality management data to carry out integrated information data integration;
b. quality data are collected or counted manually in a quality inspection link to report, a twin system analyzes according to the statistical condition, and production tracing can be performed on specific quality problems, for example: when the quality inspection step detects defective products, the system can directly display the information of defective product batches, materials, production machines, production accountants and the like.
In the invention, the intelligent monitoring module mainly comprises:
a. intelligent analysis, auxiliary management: the virtual twin system is used for analyzing and evaluating data in real time by utilizing a production mechanism model based on real-time production data, plays a role of a management secretary in the production management process, automatically monitors the actions of field production and carries out data analysis in real time, automatically discovers the problem of spider silk marks in the field production, and gives related analysis suggestions and related data information while reminding managers of paying attention;
b. automated scheduling and data support: the system can automatically send a work instruction confirmed by a manager to relevant field personnel and equipment, and can update data in real time according to the field work progress and state and reanalyze the data;
c. full-dimensional high-precision monitoring management:
(1) the data of millisecond-level delay is synchronous, the information integration is carried out in all directions without dead angles, and the information of the whole process runs through from raw materials to finished products, from cost to efficiency, from individuals to the whole situation; the system automatically analyzes the production process data, the management precision is realized, the workload of managers is greatly reduced, and the management efficiency is improved;
(2) through a real-time synchronous three-dimensional visual interface, managers can know the macroscopic overall production condition immediately and can also clearly see each production detail on site and the data generation process, and the high transparency of production data is realized.
d. Self-defining a monitoring report:
(1) the system monitors according to real-time production data, forms a real-time data monitoring report after statistical calculation, and can set the information content of the report needing to be monitored and displayed in real time in a self-defined manner according to requirements;
(2) different report forms templates are preset from the management function and are divided into production management, material management, personnel management, equipment management and quality management;
(3) specific parameters can be selected by self-definition to be added into the monitoring report.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A manufacturing industry factory management system based on a digital twin platform is characterized by comprising a data acquisition and docking module, a data processing center module and a digital twin platform module, wherein the digital twin platform module comprises a production management module, a material management module, a personnel management module, an equipment management module, a quality management module and an intelligent monitoring module;
the data acquisition and docking module is used for docking equipment and related sensors to acquire operation data of the related equipment and a PLC control system of the related equipment;
the data processing center module is used for processing the production data, the data, the document data and the information data which are acquired by the data acquisition and butt joint module;
the digital twin platform module is used for docking various real-time production data, driving the virtual workshops to synchronously run in real time through a systematic mechanism model system, and automatically sending workshop work guidance suggestions, scheduling instructions, equipment control instructions and the like through data analysis and monitoring or through intervention of management personnel, so as to drive and control the entity workshops to work and monitor the execution progress.
2. The digital twin platform based manufacturing factory management system as claimed in claim 1, wherein said data collection and docking module mainly docks existing following informatization systems to obtain relevant data:
a. MES system: carrying out butt joint to obtain production related comprehensive data;
b. an SAP system; obtaining planning and scheduling data in a butt joint mode;
c. and (3) an SCADA system: docking to obtain equipment related data;
d. QMS system: butt joint to obtain production quality related data;
e. the process management system comprises: butt joint to obtain relevant information data such as production technical files, solutions, production process data and the like;
f. electronic label picking system: and (5) docking to obtain material management data.
3. The digital twin platform based manufacturing industry factory management system of claim 1, wherein the production management module comprises:
a. production plan management, namely acquiring data information such as production scheduling plans, process indexes, resource matching conditions and the like from APS (automatic planning system), ERP (enterprise resource planning), MES (manufacturing execution system) and other systems, and supervising plan execution conditions according to real-time data in an execution process;
b. the production process management and statistics mainly comprise the following steps: the overall production efficiency, the productivity, the yield and the like of a factory are realized, the production process management statistics is carried out by depending on detailed SOP data of each process and combining with real-time counting sensor data of production line processes, the analysis statistics can be carried out from multiple dimensions of the whole line, the working sections, the stations and the like, and the data can be presented in a three-dimensional simulation scene in a data billboard mode;
c. analyzing the production efficiency and the tempo, accurately counting and calculating the efficiency and the tempo of all production links, finding out the problem of the production efficiency in time, carrying out real-time statistical analysis on the production cycle time of each production link, calculating the real-time dynamic production efficiency according to data analysis, carrying out comprehensive statistical analysis on the production efficiency from the perspective of a macroscopic full production flow, and accurately positioning the production bottleneck;
d. production execution and cooperation, taking assembly production as a main line, monitoring the cooperation condition of each production element in the production process, and comprising the following steps: the matching of materials, personnel's state, equipment state etc. through real-time data analysis, in time detect the problem place, carry out allotment in coordination to production work, for example: according to the real-time production efficiency, the material preparation conditions are contrastingly detected, and the material supplementing time and quantity are predicted in advance;
e. analyzing the production cost, fusing cost element data such as material consumption, labor, energy consumption and the like by utilizing a digital twin mechanism model system, accessing a financial cost system, and counting the actual effective production cost in real time;
f. and (3) production tracing, namely, a digital twin system based on real-time production data is communicated and butted with a coding management system, the production tracing is realized through a mode of combining twin data tracing, product coding and bar codes in a multi-dimensional and full link mode, and information such as product batch, materials, process parameters, production machines, production time, production teams and related responsible persons can be traced, for example, when a quality inspection link detects a defective product, the system can directly display information such as the defective product batch, the materials, the production machines, production responsible persons and the like.
4. The manufacturing industry factory management system based on the digital twin platform as claimed in claim 1, wherein the material management module performs comprehensive management of producing materials, materials and storage by docking the materials, storage and material related data in the equipment IOT and related systems and combining with the logic operation of the digital twin simulation mechanism, and mainly comprises:
a. warehousing management: according to the data of the storage related management system, mechanism logic modeling is carried out on a storage system by combining with the related real-time data of storage and logistics equipment, and various storage related information is managed through data model logic analysis, wherein the storage related information comprises the storage material type number, the storage position use condition, the storage turnover rate, the stagnant storage positioning alarm and the like, and meanwhile, the real-time storage state condition is visually displayed in a three-dimensional visual form;
b. production material management: the material using information of each operation link of the SOP is utilized, and the online material using condition is counted in real time by combining production counting;
c. and (3) material distribution management in the plant: through integrated access of logistics distribution data, reading and integrated display of a distribution plan, and through IOT data acquisition of equipment, the logistics distribution conditions including logistics routes, equipment states, material distribution states and the like are dynamically and visually monitored;
d. supply chain management: the management integration of the data information of the supply chain is mainly carried out by butting a related management system or collecting related management data, and the method mainly comprises the following steps: inspection reject ratio, defective product disposal, delivery timeliness, order integrity, raw material inventory, exception management and the like.
5. The manufacturing industry factory management system based on the digital twin platform as claimed in claim 1, wherein the personnel management module mainly combines production dispatch, real-time production status and data statistics, and personnel-related data files, and uses the production logic model to perform correlation docking and reintegration on all data related to personnel to form a personnel management system based on the digital twin, so as to perform three-dimensional comprehensive management on production personnel, and the system mainly comprises:
a. personnel attendance and configuration, wherein personnel attendance and configuration conditions are counted by using plan scheduling, personnel dispatching and attendance record, and personnel post layout and data presentation are carried out in a three-dimensional visual mode;
b. man-hour, output, work efficiency, etc. And (4) performing statistics on production data and efficiency of each section/station, matching teams and personnel working at related posts according to worker assignment, and performing data operation comparison to perform real-time statistics on the teams and the personnel.
6. The digital twin platform based factory management system of claim 1, wherein the device management module mainly utilizes IOT data of devices and information related to device maintenance and repair work, and performs digital twin based management on each device according to production data.
7. The digital twin platform based manufacturing industry factory management system of claim 1, wherein the quality management module mainly comprises:
a. data such as market fault rate and the like except for the workshop production process are mainly butted with relevant quality management data to carry out integrated information data integration;
b. quality data are collected or counted manually in a quality inspection link to report, a twin system analyzes according to the statistical condition, and production tracing can be performed on specific quality problems, for example: when the quality inspection step detects defective products, the system can directly display the information of defective product batches, materials, production machines, production accountants and the like.
8. The manufacturing industry factory management system based on the digital twin platform as claimed in claim 1, wherein said intelligent monitoring module mainly comprises:
a. intelligent analysis, auxiliary management: the virtual twin system is used for analyzing and evaluating data in real time by utilizing a production mechanism model based on real-time production data, plays a role of a management secretary in the production management process, automatically monitors the actions of field production and carries out data analysis in real time, automatically discovers the problem of spider silk marks in the field production, and gives related analysis suggestions and related data information while reminding managers of paying attention;
b. automated scheduling and data support: the system can automatically send a work instruction confirmed by a manager to relevant field personnel and equipment, and can update data in real time according to the field work progress and state and reanalyze the data;
c. full-dimensional high-precision monitoring management:
(1) the data of millisecond-level delay is synchronous, the information integration is carried out in all directions without dead angles, and the information of the whole process runs through from raw materials to finished products, from cost to efficiency, from individuals to the whole situation; the system automatically analyzes the production process data, the management precision is realized, the workload of managers is greatly reduced, and the management efficiency is improved;
(2) through a real-time synchronous three-dimensional visual interface, managers can know the macroscopic overall production condition immediately and can also clearly see each production detail on site and the data generation process, and the high transparency of production data is realized.
d. Self-defining a monitoring report:
(1) the system monitors according to real-time production data, forms a real-time data monitoring report after statistical calculation, and can set the information content of the report needing to be monitored and displayed in real time in a self-defined manner according to requirements;
(2) different report forms templates are preset from the management function and are divided into production management, material management, personnel management, equipment management and quality management;
(3) specific parameters can be selected by self-definition to be added into the monitoring report.
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