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CN115079655A - Digital intelligent workshop system based on data analysis - Google Patents

Digital intelligent workshop system based on data analysis Download PDF

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Publication number
CN115079655A
CN115079655A CN202210817401.0A CN202210817401A CN115079655A CN 115079655 A CN115079655 A CN 115079655A CN 202210817401 A CN202210817401 A CN 202210817401A CN 115079655 A CN115079655 A CN 115079655A
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production
module
intelligent
management
distribution
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CN202210817401.0A
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Inventor
赵自强
张靖之
韦伟
裴严冬
熊光珍
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Anhui Yungui Information Technology Co ltd
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Anhui Yungui Information Technology Co ltd
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Priority to CN202210817401.0A priority Critical patent/CN115079655A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • G05B19/41865Total 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32252Scheduling production, machining, job shop

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  • 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)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a digital intelligent workshop system based on data analysis, which comprises a management and control system, a production service system and an integrated system; the management and control system is used for providing an intelligent billboard for plan progress, resource scheduling, progress early warning real-time state and equipment state, carrying out data statistics and analysis on production plans, production materials and quality control and providing a basis for management layer decision making; the production service system comprises a production execution early warning unit, an AGV logistics distribution unit and an intelligent storage unit; the integrated system carries out equipment state and field real-time data management on equipment management, field data acquisition and field monitoring of the whole workshop by integrating various application software and hardware equipment; the production execution early warning unit is used for carrying out process management on basic data, project order scheduling, production execution feedback and production information communication in the production execution early warning process. The intelligent workshop comprehensive management system can intelligently perform comprehensive management on the intelligent workshop.

Description

Digital intelligent workshop system based on data analysis
Technical Field
The invention relates to the field of intelligent workshops, in particular to a digital intelligent workshop system based on data analysis.
Background
The workshop is a basic unit for the internal organization production of the enterprise and is also a first-level organization for the production administration management of the enterprise. Consisting of several sections or production teams. The intelligent workshop is set according to the professional properties of each stage of product production or each component of the product in an enterprise and the professional properties of each auxiliary production activity, has a factory building or a field, machine equipment, tools and certain production personnel, technicians and managers which are necessary for completing production tasks, and along with the development of the era, the current workshop is more and more intelligent, and starts to develop towards the direction of the intelligent workshop.
The existing intelligent workshop system is low in intelligence, data are reported by means of manual statistics and transmitted through paper documents, production data are stopped on the paper documents, system summarization is lacked, manual production scheduling efficiency is low, accuracy is low, plan execution rate is low, problems of blind purchasing, over-production, disordered warehouse management, overstocking of stocks and the like are solved, and certain influence is brought to the use of a safety protection system, so that the digital intelligent workshop system based on data analysis is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current safety protection system, the protection type is single, leads to the protecting effect relatively poor, has brought the problem of certain influence for safety protection system's use, provides a digital wisdom workshop system based on data analysis.
The invention solves the technical problem through the following technical scheme, and the invention comprises a management and control system, a production service system and an integrated system;
the management and control system is used for providing an intelligent billboard for plan progress, resource scheduling, progress early warning real-time state and equipment state, carrying out data statistics and analysis on production plans, production materials and quality control and providing basis for management layer decision;
the production service system comprises a production execution early warning unit, an AGV logistics distribution unit and an intelligent storage unit;
the integrated system carries out equipment state and field real-time data management on equipment management, field data acquisition and field monitoring of the whole workshop by integrating various application software and hardware equipment;
the production execution early warning unit is used for carrying out process management on basic data, project order scheduling, production execution feedback and production information communication in the production execution early warning process and carrying out informatization management and control on order planning scheduling, equipment and material tracking and quality control;
the AGV logistics distribution unit is used for managing and controlling an AGV logistics vehicle for transportation to carry out logistics distribution;
the intelligent warehousing unit is used for tracking the whole process of material warehousing and information transparentizing through internet cloud computing, big data, video monitoring and mobile intelligent equipment.
The production execution early warning unit comprises a product BOM management module, a production process management module, a production equipment scheduling management module, a production early warning module, an equipment production scheduling management module and a production information communication module.
Further, the product BOM management module is configured to maintain basic data, perform centralized management on all basic data in the system, and provide consistent basic data required by each module, where the basic data includes: materials, equipment, personnel, suppliers, and product quality;
the production process management module is used for managing production process routes and working procedures and maintaining standard operation information of various products under each working procedure;
the production scheduling management module is used for scheduling a production plan and feeding back the production plan;
the specific content of the production plan schedule is as follows: associating the BOM of the product by combining the resource capacity, the equipment maintenance plan and the process requirements, pre-arranging the planning time of each product and process according to the order information, and automatically scheduling according to the standard operation sheet;
the specific content of the production plan feedback is as follows: according to a pre-arranged project order production scheduling list, feeding back the project order production execution condition of each production workshop, wherein the feedback information comprises a production material list, a production procedure list and a production quality inspection list;
the production equipment scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing production task scheduling on the equipment production plan;
the equipment production scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing weekly production task scheduling on a key equipment production plan;
the production early warning module is used for establishing a project order production progress early warning board according to the actual production running condition, carrying out state early warning on a heavy-point project and a part according to set early warning parameters, and carrying out early warning to a specified object, namely early warning information mail pushing related department personnel through mail pushing, wherein the early warning information receiving personnel are in dynamic configuration;
the production information communication module is used for sending an early warning notice, a production early warning daily report, a quality correction notice and marketing information.
The system is characterized in that the distribution information management module is used for displaying the information of the materials to be distributed on a distribution management interface after the materials are delivered from the warehouse, and completing the material distribution work in a preset distribution mode, wherein the preset distribution mode comprises manual distribution or automatic distribution of an AGV;
the distribution processing module is used for selecting materials to be distributed, selecting an automatic distribution mode of the AGV, inputting actual distribution quantity, issuing a distribution instruction, automatically completing distribution operation according to a planned route after the AGV receives the instruction, and performing batch distribution management by modifying the distribution quantity aiming at the same material data to be distributed;
and the distribution instruction sending module is used for automatically issuing the system distribution instruction to the AGV to carry out distribution processing.
The intelligent warehousing unit comprises an intelligent access control module, an intelligent goods shelf, a monitoring detection module, a reception application module, a bill delivery module, an intelligent checking module, a picking list arrangement module, a replenishment notification module and a material catalog list arrangement module.
The intelligent access control module has the functions of face recognition and intelligent door control, the intelligent access control module is organically combined with the face recognition technology and the intelligent door control, the access control system of the warehouse is allocated with authority to enter the warehouse, when the allocation authority is met and the intelligent access control module passes face recognition authentication, the door control system is automatically opened, when workshop staff enter the warehouse, the door control system is automatically locked, after the material is taken, the door control system is automatically opened after the system is taken out of the warehouse and is detected and authenticated by entrainment, and the automatic locking is realized after the workshop staff leave;
the intelligent goods shelf is in networking cooperation linkage with the goods picking trolley through the goods shelf combined with the lifter, and intelligent goods and materials loading is carried out through an AGV map and matched with recommended goods positions;
the monitoring detection module is connected with humanoid intervention reminding through a high-definition monitoring camera and a temperature measuring device, carries out humanoid movement track tracking, is assisted with a detection door, detects abnormal warehouse-out and manages and controls the whole process of the warehouse;
the receiving application module is used for processing storage material receiving applications provided by workshop personnel through WEB or APP terminals;
the bill of material delivery module is used for combining personnel entering the warehouse to perform automatic association matching according to approved received bills of material, performing automatic stock by an intelligent shelf, completing off-shelf picking and taking out materials;
the material-free list delivery module is used for temporarily taking materials delivered out of the warehouse, workshop staff can take the materials through the arranged all-in-one machine terminal, the arranged all-in-one machine terminal can also inquire and position the position information and the quantity of the materials, automatic generation of material receiving lists is completed, automatic stock preparation is performed through the intelligent goods shelf, unloading and picking are completed, and the materials are taken out;
the intelligent checking module performs electronic checking on the warehouse through an RFID group reading function, records the actual quantity of various materials, performs data verification on a material list to be checked generated by combining a material platform account of the warehouse system, finally outputs a checking result, automatically generates a checking list, and provides management personnel for subsequent material treatment;
the sorting list arrangement module automatically identifies the sorting material lists and the quantity of the batches in the warehouse through RFID group reading when the material distribution personnel carry warehoused goods, automatically finishes warehousing by combining with an intelligent goods shelf, counts and displays storage positions;
the replenishment informing module monitors the warehouse material condition in real time through the acquired stock condition, predicts material consumption by combining a big data analysis technology, automatically generates a replenishment list and informs information;
the material catalog list arrangement module is used for analyzing the turnover condition of warehouse materials through a big data analysis technology and automatically outputting a recommended material list of the warehouse.
Compared with the prior art, the invention has the following advantages: the digital intelligent workshop system based on data analysis covers different requirements of different clients for intelligent manufacturing, effectively improves the production efficiency of clients based on intelligent scheduling, AGV intelligent delivery and warehouse unmanned management, reduces the warehouse cost, makes the management level of the whole intelligent workshop more intelligent, the arranged production execution early warning unit belongs to a core system, is a whole workshop production management and execution control task such as production plan control and execution, performs early warning management on production execution in real time, is a brain of the whole material handling system, realizes data interaction with AGV vehicles through a wireless network, is responsible for task distribution, path planning, system docking and real-time monitoring of the vehicles, and is an intelligent warehousing unit which is newly designed through the latest technologies such as internet cloud computing, big data, video monitoring, mobile intelligent equipment and the like, make the overall process of material storage track and information transparentization, promote the lean management in warehouse, establish efficient material storage and material and receive the management system to the manpower has been saved in effectual realization digital wisdom workshop management, has accelerated work efficiency, and the production efficiency in workshop has been promoted greatly in the information transfer of datamation and, setting up of intelligent scheduling and intelligent purchase, has reduced the stock overstock, lets this system be worth using widely more.
Drawings
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a digital intelligent workshop system based on data analysis comprises a management and control system, a production service system and an integrated system;
the management and control system is used for providing an intelligent billboard for plan progress, resource scheduling, progress early warning real-time state and equipment state, carrying out data statistics and analysis on production plans, production materials and quality control and providing a basis for management layer decision making;
the production service system comprises a production execution early warning unit, an AGV logistics distribution unit and an intelligent storage unit;
the integrated system carries out equipment state and field real-time data management on equipment management, field data acquisition and field monitoring of the whole workshop by integrating various application software and hardware equipment;
the production execution early warning unit is used for carrying out process management on basic data, project order scheduling, production execution feedback and production information communication in the production execution early warning process and carrying out informatization management and control on order planning scheduling, equipment and material tracking and quality control;
the AGV logistics distribution unit is used for managing and controlling an AGV logistics vehicle for transportation to carry out logistics distribution;
the intelligent warehousing unit is used for tracking the whole material warehousing process and transparentizing information through internet cloud computing, big data, video monitoring and mobile intelligent equipment;
in a production execution early warning unit, combining resource capacity, equipment capacity, an equipment maintenance plan and process requirements, associating a product BOM, automatically scheduling a production plan according to a standard operation sheet, and after the production plan is released, automatically generating a material acceptance list by a system; according to the material acceptance list, carrying out ex-warehouse operation on production materials in the material warehouse in the intelligent storage unit, and selecting an automatic distribution mode of an AGV; in the production execution early warning unit, the production progress is early warned according to the production execution feedback information, and meanwhile, the produced semi-finished products and finished products enter a finished product warehouse;
through the process, the production digital transformation of the manufacturing workshop is realized, the balance of the working load of the plan, personnel, materials and equipment of the manufacturing workshop in the whole production flow is realized, the operation and maintenance technical standard system of the digital equipment, the production maintenance organization management system, the production operation and maintenance Internet of things construction standard system, the production operation and maintenance multisource heterogeneous data integration standard system and the like are perfected, the perfect integration and the rapid development of informatization, intellectualization and manufacturing industry are realized, and the transition and upgrading pace of the manufacturing industry is promoted.
The product BOM management module is used for maintaining basic data, performing centralized management on all basic data in the system, and providing consistent basic data required by each module, wherein the basic data comprises: materials, equipment, personnel, suppliers, and product quality;
the production process management module is used for managing production process routes and procedures and maintaining standard operation information of various products under each procedure;
the production scheduling management module is used for scheduling a production plan and feeding back the production plan;
the specific content of the production plan schedule is as follows: associating the BOM of the product by combining the resource capacity, the equipment maintenance plan and the process requirements, pre-arranging the planning time of each product and process according to the order information, and automatically scheduling according to the standard operation sheet;
the specific content of the production plan feedback is as follows: according to a pre-arranged project order production scheduling list, feeding back the project order production execution condition of each production workshop, wherein the feedback information comprises a production material list, a production procedure list and a production quality inspection list;
the production equipment scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing production task scheduling on the equipment production plan;
the equipment production scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing weekly production task scheduling on a key equipment production plan;
the production early warning module is used for establishing a project order production progress early warning board according to the actual production running condition, carrying out state early warning on a heavy-point project and a part according to set early warning parameters, and carrying out early warning to a specified object, namely early warning information mail pushing related department personnel through mail pushing, wherein the early warning information receiving personnel are in dynamic configuration;
the production execution early warning unit supports three production modes of project orders, special orders, inventory production and the like, process management is carried out on basic data, project order scheduling, production execution feedback, production information communication and other factors, information management and control of order planning and scheduling, equipment and material tracking and quality control are achieved, and early warning and tracking of the process are achieved.
Basic data maintenance related to materials, equipment, personnel, suppliers, quality and the like is realized through a product BOM management module, all basic data in the system are managed in a centralized manner, and consistent basic data required by each module is provided;
the production process management module is used for managing production process routes and working procedures and maintaining standard operation information of various products under each working procedure;
the production scheduling management module is used for scheduling a production plan and feeding back the production plan;
the specific contents of the production plan schedule are as follows: associating the BOM of the product by combining the resource capacity, the equipment maintenance plan and the process requirement, and pre-arranging the planning time of each product and process according to the order information; automatic scheduling is supported according to a standard operation sheet;
the specific content of the production plan feedback is as follows: according to the pre-arranged project order production scheduling list, each production workshop can feed back the project order production execution condition, including information such as production material list, production procedure list and production quality inspection list;
the production equipment scheduling management module is used for associating the BOM of the product by combining the resource capacity, the equipment maintenance plan and the process requirement, and pre-scheduling the planning time of each product and each process according to the order information; and automatically scheduling according to the standard operation list;
the equipment production scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing weekly production task scheduling on the key equipment production plan;
the production early warning module is used for establishing a project order production progress early warning board according to the actual production running condition and supporting state early warning on the important project and parts according to set early warning parameters; the method supports early warning reminding, and pushes the information to a specified object through a mail, namely: and the early warning information mail is pushed to related department personnel to work. The early warning information receiving personnel can be dynamically configured;
the production information communication module is used for carrying out production information communication: and production early warning notice, production early warning daily report, quality correction notice and marketing information sending are realized.
The AGV logistics distribution unit comprises a distribution information management module, a distribution processing module, a distribution instruction sending module and a distribution route planning module;
the AGV logistics distribution unit is a brain of the whole material handling system, realizes data interaction with AGV vehicles through a wireless network, and is responsible for task allocation, path planning, system butt joint and real-time monitoring of the vehicles.
The distribution information management module is used for displaying the information of the materials to be distributed on a distribution management interface after the materials are delivered from the warehouse, and completing the material distribution work in a preset distribution mode, wherein the preset distribution mode comprises manual distribution or automatic distribution of an AGV (automatic guided vehicle);
the distribution processing module is used for selecting materials to be distributed, selecting an automatic distribution mode of the AGV, inputting actual distribution quantity, issuing a distribution instruction, automatically completing distribution operation according to a planned route after the AGV receives the instruction, and performing batch distribution management by modifying the distribution quantity aiming at the same material data to be distributed;
and the distribution instruction sending module is used for automatically issuing the system distribution instruction to the AGV to carry out distribution processing.
The intelligent storage unit comprises an intelligent access control module, an intelligent goods shelf, a monitoring detection module, a receiving application module, a bill of material delivery module, an intelligent checking module, a sorting list arrangement module, a replenishment notification module and a material catalog list arrangement module;
the intelligent storage unit enables the whole process of material storage to be tracked and information to be transparent through the latest technologies such as internet cloud computing, big data, video monitoring and mobile intelligent equipment, improves lean management of a warehouse, and establishes an efficient material storage and material utilization management system.
The intelligent access control module has the functions of face recognition and intelligent door control, the face recognition technology and the intelligent door control are organically combined, the warehouse access control system is allocated with authority to enter a warehouse, when the allocation authority is met and the face recognition authentication is passed, the door control system is automatically opened, when workshop staff enter the warehouse, the door control system is automatically locked, after the material acceptance is completed, the system is automatically opened after the warehouse is out for detection and the entrainment detection authentication, and the automatic locking is realized after the workshop staff leave;
the intelligent goods shelf is in networking cooperative linkage with the goods picking trolley through the goods shelf combined with the lifter, and intelligently puts on the shelf the goods and materials through an AGV map and matches with recommended goods positions;
the monitoring detection module is connected with humanoid intervention reminding through a high-definition monitoring camera and a temperature measuring device, carries out humanoid movement track tracking, is assisted with a detection door, detects abnormal warehouse-out and manages and controls the whole process of the warehouse;
the receiving application module is used for processing storage material receiving applications provided by workshop personnel through WEB or APP terminals;
the bill of material delivery module is used for combining personnel entering the warehouse to perform automatic association matching according to approved received bills of material, performing automatic stock by an intelligent shelf, completing off-shelf picking and taking out materials;
the material-free list delivery module is used for temporarily taking materials delivered out of the warehouse, workshop staff can take the materials through the arranged all-in-one machine terminal, the arranged all-in-one machine terminal can also inquire and position the position information and the quantity of the materials, automatic generation of material receiving lists is completed, automatic stock preparation is performed through the intelligent goods shelf, unloading and picking are completed, and the materials are taken out;
the intelligent checking module performs electronic checking on the warehouse through an RFID group reading function, records the actual quantity of various materials, performs data verification on a material list to be checked generated by combining a material platform account of the warehouse system, finally outputs a checking result, automatically generates a checking list, and provides management personnel for subsequent material treatment;
the sorting list arrangement module automatically identifies the sorting material lists and the quantity of the batches in the warehouse through RFID group reading when the material distribution personnel carry warehoused goods, automatically finishes warehousing by combining with an intelligent goods shelf, counts and displays storage positions;
the replenishment informing module monitors the warehouse material condition in real time through the acquired stock condition, predicts material consumption by combining a big data analysis technology, automatically generates a replenishment list and informs information;
the material catalog list arrangement module is used for analyzing the turnover condition of warehouse materials through a big data analysis technology and automatically outputting recommended material lists of the warehouse.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (7)

1. A digital intelligent workshop system based on data analysis is characterized by comprising a management and control system, a production service system and an integrated system;
the management and control system is used for providing an intelligent billboard comprising a plan schedule, a resource scheduling, a schedule early warning real-time state and an equipment state, carrying out data statistics and analysis on a production plan, production materials and quality control and providing a basis for a management layer decision;
the production service system comprises a production execution early warning unit, an AGV logistics distribution unit and an intelligent storage unit;
the integrated system carries out equipment state and field real-time data management on equipment management, field data acquisition and field monitoring of the whole workshop by integrating various application software and hardware equipment;
the production execution early warning unit is used for carrying out process management on basic data, project order scheduling, production execution feedback and production information communication in the production execution early warning process and carrying out informatization management and control on order planning scheduling, equipment and material tracking and quality control;
the AGV logistics distribution unit is used for managing and controlling an AGV logistics vehicle for transportation to carry out logistics distribution;
the intelligent warehousing unit is used for tracking the whole material warehousing process and transparentizing information through internet cloud computing, big data, video monitoring and mobile intelligent equipment.
2. The digital intelligent workshop system based on data analysis of claim 1, wherein: the production execution early warning unit comprises a product BOM management module, a production process management module, a production equipment scheduling management module, a production early warning module, an equipment production scheduling management module and a production information communication module.
3. The digital intelligent workshop system based on data analysis of claim 2, wherein: the product BOM management module is used for maintaining basic data, performing centralized management on all basic data in the system, and providing consistent basic data required by each module, wherein the basic data comprises: materials, equipment, personnel, suppliers, and product quality;
the production process management module is used for managing production process routes and procedures and maintaining standard operation information of various products under each procedure;
the production scheduling management module is used for scheduling a production plan and feeding back the production plan;
the specific content of the production plan schedule is as follows: associating the BOM of the product by combining the resource capacity, the equipment maintenance plan and the process requirements, pre-arranging the planning time of each product and process according to the order information, and automatically scheduling according to the standard operation sheet;
the specific content of the production plan feedback is as follows: according to a pre-arranged project order production scheduling list, feeding back the project order production execution condition of each production workshop, wherein the feedback information comprises a production material list, a production procedure list and a production quality inspection list;
the production equipment scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing production task scheduling on the equipment production plan;
the equipment production scheduling management module is used for acquiring a production equipment scheduling plan in production order scheduling and performing weekly production task scheduling on the key equipment production plan;
the production early warning module is used for establishing a project order production progress early warning board according to the actual production running condition, carrying out state early warning on a heavy-point project and a part according to set early warning parameters, and carrying out early warning to a specified object, namely early warning information mail pushing related department personnel through mail pushing, wherein the early warning information receiving personnel are in dynamic configuration;
the production information communication module is used for sending an early warning notice, a production early warning daily report, a quality correction notice and marketing information.
4. The digital intelligent workshop system based on data analysis of claim 1, wherein: the AGV logistics distribution unit comprises a distribution information management module, a distribution processing module, a distribution instruction sending module and a distribution route planning module.
5. The digital intelligent workshop system based on data analysis of claim 4, wherein: the distribution information management module is used for displaying the information of the materials to be distributed on a distribution management interface after the materials are delivered from the warehouse, and completing the material distribution work in a preset distribution mode, wherein the preset distribution mode comprises manual distribution or automatic distribution of an AGV (automatic guided vehicle);
the distribution processing module is used for selecting materials to be distributed, selecting an automatic distribution mode of the AGV, inputting actual distribution quantity, issuing a distribution instruction, automatically completing distribution operation according to a planned route after the AGV receives the instruction, and performing batch distribution management by modifying the distribution quantity aiming at the same material data to be distributed;
the distribution instruction sending module is used for automatically issuing the system distribution instruction to the AGV to carry out distribution processing;
the delivery route planning is used for planning the delivery route according to the point location of the delivery workshop.
6. The digital intelligent workshop system based on data analysis of claim 1, wherein: the intelligent storage unit comprises an intelligent access control module, an intelligent goods shelf, a monitoring detection module, a reception application module, a bill delivery module, an intelligent checking module, a sorting list arrangement module, a replenishment notification module and a material catalog list arrangement module.
7. The digital intelligent workshop system based on data analysis of claim 6, wherein: the intelligent entrance guard module has the functions of face recognition and intelligent door control, the face recognition technology and the intelligent door control are organically combined, the warehouse entrance guard system is allocated with authority to enter a warehouse, when the allocation authority is met, the door control system is automatically opened after face recognition authentication is passed, when workshop personnel enter the warehouse, the door control system is automatically locked, after material acceptance is completed, the door control system is automatically opened after system ex-warehouse detection and entrainment detection authentication are passed, and automatic locking is realized after the workshop personnel leave;
the intelligent goods shelf is in networking cooperative linkage with the goods picking trolley through the goods shelf combined with the lifter, and intelligently puts on the shelf the goods and materials through an AGV map and matches with recommended goods positions;
the monitoring detection module is connected with humanoid intervention reminding through a high-definition monitoring camera and a temperature measuring device, carries out humanoid movement track tracking, is assisted with a detection door, detects abnormal warehouse-out and manages and controls the whole process of the warehouse;
the receiving application module is used for processing storage material receiving applications provided by workshop personnel through WEB or APP terminals;
the bill of material delivery module is used for combining personnel entering the warehouse to perform automatic association matching according to approved received bills of material, performing automatic stock by an intelligent shelf, completing off-shelf picking and taking out materials;
the material-free order delivery module is used for temporarily receiving delivered materials, workshop staff can receive the materials through the arranged all-in-one machine terminal, the arranged all-in-one machine terminal can also inquire and position material position information and quantity, automatic generation of material receiving orders is completed, automatic stock preparation is performed through the intelligent goods shelf, unloading and picking are completed, and the materials are taken out;
the intelligent checking module performs electronic checking on the warehouse through an RFID group reading function, records the actual quantity of various materials, performs data verification on a material list to be checked generated by combining a material platform account of the warehouse system, finally outputs a checking result, automatically generates a checking list, and provides management personnel for subsequent material treatment;
the sorting list arrangement module automatically identifies the sorting material list and the quantity of the batch in the warehouse through RFID group reading when the material distribution personnel carry warehoused goods, automatically finishes warehousing by combining an intelligent goods shelf, counts and displays the storage position;
the replenishment informing module monitors the warehouse material condition in real time through the acquired stock condition, predicts material consumption by combining a big data analysis technology, automatically generates a replenishment list and informs information;
the material catalog list arrangement module is used for analyzing the turnover condition of warehouse materials through a big data analysis technology and automatically outputting a recommended material list of the warehouse.
CN202210817401.0A 2022-07-12 2022-07-12 Digital intelligent workshop system based on data analysis Withdrawn CN115079655A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860439B (en) * 2023-02-27 2023-06-02 机科发展科技股份有限公司 Discrete digital workshop information system integration method
CN116307621A (en) * 2023-03-31 2023-06-23 江门市星群实业有限公司 Wisdom mill production system
CN117057588A (en) * 2023-10-11 2023-11-14 南方电网调峰调频发电有限公司信息通信分公司 Monitoring management method and system for operation and maintenance of power grid
CN117495026A (en) * 2023-11-17 2024-02-02 汇智智能科技有限公司 Production line manufacturing operation management system based on Internet of things
CN117611226A (en) * 2024-01-22 2024-02-27 吉林大学 Intelligent on-line logistics resource accounting method based on bicycle quota and equivalent flow
CN117875852A (en) * 2024-03-11 2024-04-12 山东博恩电气有限公司 Intelligent management and control warehouse management system for physical asset specialized warehouse
CN118469265A (en) * 2024-07-15 2024-08-09 长春易加科技有限公司 Method, system and device for balancing work site and allocating resources of wire harness production line
CN118469523A (en) * 2024-07-12 2024-08-09 浙江理工大学 Full-flow visual management system, terminal and storage medium for textile fabric

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860439B (en) * 2023-02-27 2023-06-02 机科发展科技股份有限公司 Discrete digital workshop information system integration method
CN116307621A (en) * 2023-03-31 2023-06-23 江门市星群实业有限公司 Wisdom mill production system
CN117057588A (en) * 2023-10-11 2023-11-14 南方电网调峰调频发电有限公司信息通信分公司 Monitoring management method and system for operation and maintenance of power grid
CN117057588B (en) * 2023-10-11 2024-01-23 南方电网调峰调频发电有限公司信息通信分公司 Monitoring management method and system for operation and maintenance of power grid
CN117495026A (en) * 2023-11-17 2024-02-02 汇智智能科技有限公司 Production line manufacturing operation management system based on Internet of things
CN117611226A (en) * 2024-01-22 2024-02-27 吉林大学 Intelligent on-line logistics resource accounting method based on bicycle quota and equivalent flow
CN117611226B (en) * 2024-01-22 2024-04-09 吉林大学 Intelligent on-line logistics resource accounting method based on bicycle quota and equivalent flow
CN117875852A (en) * 2024-03-11 2024-04-12 山东博恩电气有限公司 Intelligent management and control warehouse management system for physical asset specialized warehouse
CN117875852B (en) * 2024-03-11 2024-06-07 山东博恩电气有限公司 Intelligent management and control warehouse management system for physical asset specialized warehouse
CN118469523A (en) * 2024-07-12 2024-08-09 浙江理工大学 Full-flow visual management system, terminal and storage medium for textile fabric
CN118469265A (en) * 2024-07-15 2024-08-09 长春易加科技有限公司 Method, system and device for balancing work site and allocating resources of wire harness production line

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