CN116578054A - Intelligent manufacturing unit designer suitable for industry 4.0 and instantiation method thereof - Google Patents

Abstract

The invention relates to the field of intelligent manufacturing unit designers, in particular to an intelligent manufacturing unit designer suitable for industry 4.0 and an instantiation method thereof, comprising a data acquisition device and a sensor, wherein the sensor and the data acquisition device are deployed in a physical workshop and a workstation to acquire related data in real time for constructing a virtual model, and mapping and displaying are carried out in the intelligent manufacturing unit designer; the physical workshops are mapped into working sections, so that the division and monitoring of the whole production process are realized. The invention has the advantages that: rapidly designing and deploying intelligent manufacturing units: through the intelligent manufacturing unit designer system, a manufacturing enterprise can quickly establish an intelligent manufacturing unit conforming to the industrial 4.0 standard, and the production efficiency is improved. The production efficiency and the quality are improved: by configuring the production process nodes, the production flow and the resource utilization can be optimized, and the production efficiency and the quality are improved. The production cost is reduced: and the rejection rate and the labor cost are reduced by optimizing the production flow and the resource utilization.

Description

Intelligent manufacturing unit designer suitable for industry 4.0 and instantiation method thereof

Technical Field

The invention relates to the field of intelligent manufacturing unit designers, in particular to an intelligent manufacturing unit designer applicable to industry 4.0 and an instantiation method thereof.

Background

The traditional production and manufacturing process requires a great deal of manual intervention and operation, and has low production efficiency, high labor cost and difficult quality assurance, which all become bottlenecks in the development of the manufacturing industry. With the development of smart manufacturing technology, various automated, intelligent devices and systems have been gradually applied to production and manufacturing to improve efficiency and quality, but in this process, the design and manufacturing process of the unit designer still requires a lot of manual intervention and time. Therefore, how to improve the design efficiency of the unit designer and the manufacturing efficiency has become an important problem to be solved in industry 4.0.

Disclosure of Invention

The invention aims to overcome the defects of the prior art, and provides an intelligent manufacturing unit designer and an instantiation method thereof which are used for rapidly designing and deploying the intelligent manufacturing unit designer applicable to the industry 4.0, so that the configuration of nodes in the production process can be realized, the production efficiency and the quality can be improved, the production cost can be reduced, and meanwhile, the digital transformation and the intelligent upgrading of enterprises can be facilitated.

In order to achieve the above object, an intelligent manufacturing unit designer suitable for industry 4.0 is designed, which comprises a data acquisition device and a sensor, wherein the sensor and the data acquisition device are deployed in a physical workshop and a workstation to acquire related data in real time for constructing a virtual model, and mapping and displaying are performed in the intelligent manufacturing unit designer; mapping the physical workshops into working sections, dividing and monitoring the whole production process, wherein each working section represents a part of specific manufacturing tasks, mapping the working stations into working units so that each working station becomes an independent production unit and bears independent process steps and operation requirements, and instantiating the working units; the identification device and the coding equipment are used for associating the unique identification and coding of the physical workshops and the workstations with the virtual objects in the MOM platform, identifying the equipment, the personnel and the materials by using labels or two-dimensional codes, and virtually mapping by scanning or reading the identifications; the data integration device and the system docking equipment are used for carrying out data integration and system docking on actual data of a physical workshop and a workstation and the intelligent manufacturing unit designer, and realizing data sharing and exchange by connecting a production data system and an equipment control system, so that virtual mapping and management are carried out on the intelligent manufacturing unit designer.

The invention also has the following preferable technical scheme:

1. the physical workshops and workstations comprise a plurality of materials, the materials are accurately described and tracked through management shells, standard parameters, form parameters and expansion shells of the materials, the attributes, the specifications and the use requirements of the materials are accurately described and tracked, all production element models in the virtual models are mapped with a real space through the management shells, the management shells comprise unique identifiers, names, validity periods and specification information of the materials, tracking and inventory management of the materials are carried out, the standard parameters are core parameters influenced by SOP or business, the core parameters of the materials in the SOP execution process are defined, the content, scalar and deviation grades are included, the use of the materials are ensured to meet the quality requirements, the content comprises units, precision, threshold A, absolute values and threshold B information, the form parameters describe general parameters of the materials relatively static and are used for assisting classification and identification of the materials, and the expansion shells describe non-core business data of the materials.

2. The production element event response in the production element model consists of static attribute, dynamic state, input instruction and output event, wherein the static attribute is as follows: invariable after modeling; dynamic state: can only be changed by own instructions; inputting an instruction: an instruction received from the outside; outputting an event: events output externally.

An instantiation method of the intelligent manufacturing unit designer is also designed, and the method specifically comprises the following steps: s1, inputting step data: in the intelligent manufacturing unit designer, a user inputs relevant information of a process step, including an operation standard, an operation step and a signature requirement, and the data are processed and analyzed through an SOP mark language module; s2, generating a human-computer interaction interface: based on the input step data, the intelligent manufacturing unit designer automatically generates a human-computer interaction interface for displaying the operation steps of the step, the operation standard requirements and interface elements for interacting with an operator; s3, generating an electronic batch record: the intelligent manufacturing unit designer automatically generates an electronic batch record according to the data and the operation steps of the process steps, wherein the electronic batch record can record the execution condition of the process steps, the signature of an operator and the timestamp information; s4, generating a paper batch record: in addition to the electronic batch record, the intelligent manufacturing unit designer also generates a template for the paper batch record, which contains the requirements of the process steps and the filling fields for the operator to record relevant information at the job site; s5, flexible grouping of operation program groups: if the number of steps contained in one working unit is too large, the working program groups are used for flexible grouping, and a plurality of working steps can form one working program group; s6, constructing a standard operation program: in the working unit, a standard operation program is strictly formulated according to the manufacturing process and the quality requirement, and the standard operation program consists of a plurality of operation program groups, wherein the operation steps of the working step and the operation standard requirement information are included; s7, combining the standard working units: standard work program, material, equipment, personnel, environmental and quality requirements elements are combined into a standard work unit, which represents a repeatable, monitorable and optimizable production unit.

Preferably, the SOP mark language module is used as a core data structure, the SOP mark language module comprises a standard part and an operation part, the standard part is composed of a combination of SOP description and a target-threshold value x N, the standard part is used for standardizing the requirement and the limitation of the operation, the operation part contains a target URI-generation value x N and signature information, the target URI-generation value x N is used for recording and tracking the execution condition and the result of the operation, and the SOP mark language module enables business operation data to be uniformly managed and processed and simultaneously provides a basis for data interaction and sharing.

Preferably, the method further comprises a dragging method, wherein the dragging method specifically comprises the following steps: s1, selecting a source object: the user selects an object to be dragged from the main data list through a mouse; s2, drag operation: the user presses the left button of the mouse and drags the left button to the target position, and the drag operation is usually accompanied by a visual feedback; s3, detecting a target area: the system monitors the mouse in real time in the dragging process, and judges the current target area, wherein the target area can be an area for inputting materials, intermediate materials or outputting materials; s4, highlighting a target area: when a user drags a source object to an effective target area, the system prompts the user that the current target area is effective through a highlighting effect; s5, placing operation: releasing the mouse by the user, placing the source object in the target area, correspondingly establishing the association between the source object and the target area by the system, and associating the main data with the corresponding category; s6, association processing: the system can store the corresponding data association into a database or a memory according to the drag operation of the user, so that the correctness and consistency of the data are ensured; s7, error processing: the system needs to perform error processing in the dragging process, detects the situation that repeated data appear when a user drags to an impermissible area or a target area, gives the user timely feedback when the error is found, and provides a corresponding error prompt; s8, deleting: in order to provide a better user experience, the system data deleting function allows a user to delete wrong main data and drag new main data again in the configuration process.

Compared with the prior art, the invention has the advantages that:

1. rapidly designing and deploying intelligent manufacturing units: through the intelligent manufacturing unit designer system, a manufacturing enterprise can quickly establish an intelligent manufacturing unit conforming to the industrial 4.0 standard, and the production efficiency is improved.

2. The production efficiency and the quality are improved: by configuring the production process nodes, the production flow and the resource utilization can be optimized, and the production efficiency and the quality are improved.

3. The production cost is reduced: the rejection rate and the labor cost are reduced by optimizing the production flow and the resource utilization, so that the production cost is reduced.

4. Digital transformation and intelligent upgrading: the system can help enterprises to realize digital transformation and intelligent upgrading, and improve the competitiveness of the enterprises.

5. Flexible configuration requirements: the production elements, the process, the human-computer interface and the data batch in the system can be flexibly configured according to actual requirements, so that different production requirements are met.

6. Visual design: the configuration of production elements, technological processes, human-computer interfaces and data batch records is carried out in a dragging mode, so that the design process is more visual and easy to understand.

7. Automated data recording: the system can automatically generate the content of the electronic batch record, greatly reduces the workload of manual recording, and can improve the accuracy and the reliability of data.

Drawings

FIG. 1 is a schematic diagram of a physical plant and physical workstation of the present invention;

FIG. 2 is a schematic diagram of a virtual work section and virtual work cell of the present invention;

FIG. 3 is a schematic diagram of a production schedule according to the present invention;

FIG. 4 is a specific schematic diagram of a virtual work cell of the present invention;

FIG. 5 is a diagram of the standard job program composition of the work cell of the present invention;

FIG. 6 is a schematic diagram of a job program set of the present invention;

FIG. 7 is a composition diagram of the steps of the present invention;

FIG. 8 is a schematic diagram of the overall model of the present invention;

FIG. 9 is a schematic diagram of a production element model of the present invention;

FIG. 10 is a schematic illustration of the production element event response of the present invention;

FIG. 11 is a diagram of SOP markup language composition of the present invention.

Detailed Description

The construction and principles of the present invention will be readily apparent to those skilled in the art from the following description taken in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

As shown in fig. 1 and 2, the actual physical workshops and physical workstations are virtually mapped in an informationized manner. The purpose of this mapping is to digitize the production environment and improve production efficiency and quality by the intelligent manufacturing cell designer. By mapping the workshops to sections, the overall production process can be divided and monitored. Each station represents a portion of a particular manufacturing task, such as assembly, machining, or testing. The virtual mapping of the working section enables the production plan and the scheduling to be more flexible and controllable, task allocation and resource scheduling can be carried out according to requirements, and the production efficiency and the resource utilization rate are improved.

Mapping the workstations into work cells makes each workstation a separate production cell, carrying specific process steps and operational requirements. Virtual mapping of the work cells allows for more flexible and customizable process designs and configurations. By instantiating the work units, the materials, equipment, personnel, environment and quality of each work station can be accurately tracked and managed, and the accuracy and consistency of operation are ensured.

The specific mapping process comprises the following technical means:

1. data capture and sensor technology: by deploying sensors and data acquisition equipment in physical workshops and workstations, relevant data such as equipment status, production indexes and the like are acquired in real time. These data can be used to build virtual models and mapped and presented in the intelligent manufacturing unit designer. The data grabbing and sensor technology can provide real-time data feedback and monitoring, and dynamic virtualization of the actual environment is achieved.

2. Identification and coding techniques: by providing unique identifications and encodings for physical workshops and workstations, they can be associated with virtual objects in the MOM platform. And identifying equipment, personnel and materials by using a label or a two-dimensional code, and virtually mapping by scanning or reading the identifications. The method can realize real-time data acquisition and tracing, and ensure the consistency of physical and virtual environments.

3. Data integration and system docking: the actual data of the physical workshops and workstations are data integrated and system docked with the intelligent manufacturing unit designer. By connecting the existing production data system, equipment control system and the like, sharing and exchange of data can be realized, so that virtual mapping and management are performed in the intelligent manufacturing unit designer. The method can utilize the data and functions of the existing system, and reduce the data redundancy and operation repetition.

As shown in fig. 3, the virtual stations, virtual work units, and physical workshops, physical workstations are mapped during the production phase to accommodate flexible production. As shown in fig. 4, the virtual work cell is the smallest intermediate output unit in the manufacturing process, and is also the core configuration unit of the system, carrying all production elements and Standard Operation Procedures (SOPs).

Standard Operating Procedures (SOPs) are the core of virtual work units, which are strict operating standards established according to manufacturing industry and quality requirements. As shown in fig. 7, the SOP includes a series of process steps, each representing a minimum operational step in the manufacturing process. By defining information such as operation standards, operation modes, signatures and the like in the SOP, the execution of each step can be ensured to conform to the specifications, and the execution condition and result of the operation can be tracked.

As shown in fig. 5, job program groups may be used to flexibly group the steps in order to make complex units of work easier to manage and operate. As shown in FIG. 6, the operation program group is formed by combining a plurality of steps, and can be combined and adjusted according to requirements so as to adapt to different production conditions and requirements. The design of such an organization structure may increase production flexibility and response capability, making the configuration of the work cell more customizable and scalable.

As shown in fig. 8, the overall model is that the division and monitoring of the whole production process can be realized by mapping workshops into sections; mapping the working section into working units enables each working station to be an independent production unit, carries specific process steps and operation requirements, and can accurately track and manage materials, equipment, personnel, environment and quality of each working station by instantiating the working units so as to ensure the accuracy and consistency of operation; the virtual work cell carries all production elements and Standard Operation Programs (SOPs), which are the core of the virtual work cell and are strict operation standards formulated according to the manufacturing industry and quality requirements; the SOP includes a series of steps, each step representing a minimum operation step in the manufacturing process, and by defining information such as operation standards, operation modes, signatures, etc. in the SOP, it is possible to ensure that the execution of each step meets the specifications, and to track the execution situation and result of the operation.

As shown in fig. 9, material is an important element in the production process. Through the management shell, standard parameters, form parameters and the expansion shell of the materials, the properties, specifications and use requirements of the materials can be accurately described and tracked. All production element models are mapped with the real space through a management shell, and the management shell comprises information such as unique identification, name, validity period, specification and the like of materials, so that the traceability and inventory management of the materials can be facilitated. The standard parameters are core parameters affected by SOP or business, define core parameters of the material in the SOP execution process, including content, scalar and deviation level, and can ensure that the use of the material meets quality requirements, wherein the content includes information such as unit, precision, threshold A, absolute value and threshold B. The form parameters describe general parameters of the materials, such as category and name, which are relatively static, and are used for assisting in classifying and identifying the materials. The expansion shell describes non-core business data of the material, including encyclopedia, ecology and the like. By configuring and managing these parameters, fine control and management of materials can be realized.

As shown in fig. 10, the production element event response is composed of a static attribute, a dynamic state, an input instruction, and an output event, the static attribute: invariable after modeling; dynamic state: can only be changed by own instructions; inputting an instruction: instructions that can be received from the outside; outputting an event: events output externally.

As shown in fig. 11, in order to describe and organize SOP-related data, an SOP markup language is designed as a core data structure. The SOP mark-up language includes two parts, standard and operation. The standard section consists of a combination of SOP descriptions, target-threshold-N, for normalizing the requirements and limitations of operation. The operation part contains the information of the target URI-generating value (N), signature and the like, and is used for recording and tracking the execution condition and result of the operation. The SOP mark language design makes the business operation data be managed and processed uniformly, and provides the basis for data interaction and sharing, which is convenient for the system to integrate and dock with other related systems.

The specific workflow of the intelligent manufacturing unit designer is:

s1, inputting step data: in the intelligent manufacturing unit designer, the user may input relevant information for the process steps, including job criteria, operating steps, signature requirements, and the like. These data are processed and parsed by the SOP markup language.

S2, generating a human-computer interaction interface: based on the entered step data, the intelligent manufacturing unit designer may automatically generate a human-machine interaction interface. This interface may expose the operating steps of the process steps, job standard requirements, and interface elements for interaction with the operator.

S3, generating an electronic batch record: the intelligent manufacturing unit designer automatically generates an electronic batch record according to the data of the process steps and the operation steps. The electronic batch record can record the execution condition of the process step, the signature of the operator, the timestamp and other information.

S4, generating a paper batch record: in addition to electronic batch records, the intelligent manufacturing unit designer may also generate templates for paper batch records. This template may contain the step requirements and fill-in fields for the operator to record relevant information at the job site.

S5, flexible grouping of operation program groups: if there are too many steps contained within a unit of work, flexible groupings can be made using job program groups. Multiple steps may form a job program set to better manage and control the workflow.

S6, constructing a standard operation program: in the working unit, standard working procedures are strictly formulated according to the manufacturing process and quality requirements. The standard operation program is composed of a plurality of operation program groups, wherein the operation steps of the process steps, the operation standard requirements and other information are contained in the standard operation program.

S7, combining the standard working units: the standard working procedure, materials, equipment, personnel, environment, quality requirements and other factors are combined into a standard working unit. This work unit represents a repeatable, monitorable and optimizable production unit.

In this flow, the data of the process steps are input to the generation of man-machine interaction interfaces, electronic batch records and paper batch records, and the construction of job program groups and standard job programs, so that the standard working units are finally formed. The process utilizes the functions of the MOM platform intelligent manufacturing unit designer, so that the manufacturing process is more standardized, standardized and traceable, and the production efficiency and the quality control capability are improved.

The intelligent manufacturing unit designer of the present invention includes the following aspects:

1. graphic User Interface (GUI)

The intelligent manufacturing unit designer has an intuitively friendly graphical user interface, and a user can interact with the system through the interface, wherein the interface comprises basic information, production elements, process flows, a human-computer interface, data records and associated procedures. Through the production elements on the interface, the user can easily create and edit input and output elements of the manufacturing unit, including materials, equipment, personnel. The technological process is used for configuring the flow node information of the production process. The man-machine interface is used for configuring and displaying the operation content when the user uses the man-machine interface. The data records are then used to configure and expose batch records. The association procedure is used to demonstrate the procedure process.

2. Production element

The production elements of the invention can drag the main data into the corresponding input materials, intermediate materials and output materials in a dragging mode, and carry out configuration of feeding calculation on the data.

3. Technical process

The technological process of the invention also has an intelligent calculator, and can be used for controlling the operation and business variables according to the instructions input by the user. Design and verification of the manufacturing unit is automatically completed, thereby improving design efficiency and quality. The preset instructions, operation and business variables in the intelligent calculator can be adjusted and optimized according to the actual application scene, so that the design accuracy and adaptability are improved.

4. Human-machine interface

The man-machine interface can automatically complete the configuration of the man-machine interaction interface according to the process data dragged by the user, thereby improving the design efficiency and quality and being capable of being adjusted and optimized according to the actual application scene.

5. Data recording

The data record of the invention can record data and retrograde configuration according to batch generated by the user. Thereby generating batch records conforming to the real business scene of the user.

The present invention focuses on the second: the configuration of dragging data in the production elements and feeding calculation of the data comprises the following details:

1. drag function

The drag function refers to an interactive operation of moving an object to another position or placing it in a target area by clicking and dragging the object on an interface by a user. In the production element, the drag function allows the user to select one data item from the main data list of materials and drag it to the area of the input material, intermediate material or output material to establish a relationship between the data.

The following is the flow of drag function:

s1, selecting a source object: the user selects an object to be dragged from the main data list through the mouse.

S2, drag operation: the user holds the left mouse button and drags it to the target location. The drag operation is typically accompanied by a visual feedback.

S3, detecting a target area: the system monitors the mouse in real time in the dragging process and judges the current target area. The target area may be an area of input material, intermediate material, or output material.

S4, highlighting a target area: when the user drags the source object to an active target area, the system prompts the user that the current target area is active by the effect of highlighting.

S5, placing operation: the user releases the mouse and places the source object into the target area. The system will accordingly establish an association between the source object and the target area, associating the primary data with the corresponding category.

S6, association processing: the system can store the corresponding data association into a database or a memory according to the drag operation of the user, so that the correctness and consistency of the data are ensured.

S7, error processing: the system needs to perform error processing during the dragging process, for example, detecting the situation that repeated data appear when the user drags to an impermissible area or a target area. When errors are found, the system gives timely feedback to the user and provides corresponding error prompts.

S8, deleting: in order to provide a better user experience, the system data deleting function allows a user to delete wrong main data and drag new main data again in the configuration process.

Through realizing the function of dragging, the user can correspond main data with input materials, intermediate materials and output materials through an intuitive operation mode, so that the configuration process is simplified, and the working efficiency and experience of the user are improved.

2. Configuration of data for feeding calculation

The configuration of the data for feeding calculation means that a user can configure the dispensing amount of each material when dragging the data to an input material, an intermediate material and an output material. The following is a simple procedure:

1. and (3) material selection: the user selects a material on the interface, which may be an input material, an intermediate material, or an output material.

2. And (3) configuration of the amount of the ingredients: the system provides a dispensing amount configuration page, and a user can configure the dispensing amount of the corresponding material in the interface.

2.1. The preparation amount is as follows: the user can specify the input parameters needed to be used, and the dispensing amount can be an absolute value or an open amount.

2.2. Unit selection: the user can select the corresponding unit to meet the corresponding requirement of the material.

Through configuration of feeding calculation by data, a user can define feeding calculation modes of different materials according to specific business requirements, and accuracy and efficiency of data processing are improved.

In summary, the invention includes the basic information, the production elements, the process, the man-machine interface and the data record of the intelligent manufacturing unit, and finally generates the intelligent manufacturing unit which accords with the industry 4.0 by combining the basic information, the production elements, the process, the man-machine interface and the data record, and then performs the sequencing and the combination of the manufacturing units to generate the final process flow.

The specific method comprises the following steps:

1. based on the production requirements of the process flow, an intelligent manufacturing unit is created in an intelligent manufacturing unit designer, wherein the intelligent manufacturing unit comprises the name of the manufacturing unit and a main data identification code;

s1, after a user fills in the name and the main data identification code of a manufacturing unit, designing the manufacturing unit;

2. based on the configuration requirement of the intelligent manufacturing unit, configuring corresponding material, equipment and personnel information in the production element;

s1, dragging data in main data of materials to corresponding input materials, intermediate materials and output materials; and (5) material configuration is completed.

S2, dragging the data in the main data of the equipment to corresponding processing equipment, containers, weighing tools and environments; the device configuration is completed.

S3, dragging the data in the personnel main data to corresponding personnel; the personnel configuration is completed.

3. Configuring the technological process of the manufacturing unit in the technological process according to the requirements of the technological process;

s1, in the process, selecting a corresponding node type for dragging, and connecting a start node, a process step node, a parallel gateway, an exclusive gateway and an end node to configure the process flow of the manufacturing unit;

s2, configuring each process step node, dragging materials and equipment configured in the production elements according to SOP requirements, and dragging corresponding elements into the target objects;

s3, filling in corresponding titles and SOP descriptions;

s4, dragging personnel configured in the production elements according to requirements, and dragging the corresponding elements into the signature;

s5, configuring corresponding calculation logic in the sentry, wherein the configuration flow sentry, signature sentry and logic sentry are required to be configured, and the feasibility of the calculation logic is verified after the configuration is completed;

s6, completing the configuration of the technological process.

4. According to the content configured in the process, configuring data information to be displayed in the man-machine interaction page;

s1, dragging the content in the technical process data to a corresponding confirmation step according to the SOP requirement;

s2, after confirmation is completed, checking whether the configured man-machine interaction interface is correct or not in the preview;

5. after configuration is completed, generating final data records, including electronic batch records and paper batch records;

s1, automatically generating contents of electronic batch records according to a result of human-computer interface operation;

s2, similarly, the user can also maintain the paper batch record by himself to generate the batch record.

By mapping the actual physical workshops and physical workstations into virtual objects and instantiating equipment, personnel, materials, etc., informatization and digital management of the production process can be achieved. The informationized mapping and management can improve production efficiency, quality control and production flexibility, and provide support and foundation for intelligent manufacturing and business optimization of enterprises.

The above description is only specific to the embodiments of the invention, but the scope of the invention is not limited thereto, and any person skilled in the art who is skilled in the art to which the invention pertains shall apply to the technical solution and the novel concept according to the invention, and shall all be covered by the scope of the invention.

Claims (6)

1. The intelligent manufacturing unit designer suitable for the industry 4.0 is characterized by comprising a data acquisition device and a sensor, wherein the sensor and the data acquisition device are deployed in a physical workshop and a workstation to acquire related data in real time for constructing a virtual model, and mapping and displaying are carried out in the intelligent manufacturing unit designer; mapping the physical workshops into working sections, dividing and monitoring the whole production process, wherein each working section represents a part of specific manufacturing tasks, mapping the working stations into working units so that each working station becomes an independent production unit and bears independent process steps and operation requirements, and instantiating the working units;

the identification device and the coding equipment are used for associating the unique identification and coding of the physical workshops and the workstations with the virtual objects in the MOM platform, identifying the equipment, the personnel and the materials by using labels or two-dimensional codes, and virtually mapping by scanning or reading the identifications;

the data integration device and the system docking equipment are used for carrying out data integration and system docking on actual data of a physical workshop and a workstation and the intelligent manufacturing unit designer, and realizing data sharing and exchange by connecting a production data system and an equipment control system, so that virtual mapping and management are carried out on the intelligent manufacturing unit designer.

2. The intelligent manufacturing unit designer for 4.0 industry of claim 1, wherein the physical workshops and workstations contain a plurality of materials, the materials are accurately described and tracked through management shells, standard parameters, form parameters and expansion shells of the materials, the attributes, specifications and use requirements of the materials are accurately described and tracked, all production element models in the virtual model are mapped with real space through the management shells, the management shells comprise unique identifiers, names, validity periods and specification information of the materials, the materials are traced back and inventory managed, the standard parameters are core parameters influenced by SOP or business, the core parameters including content, scalar and deviation grades of the materials in the SOP execution process are defined, the use of the materials is ensured to meet the quality requirements, the content comprises unit, precision, threshold A, absolute value and threshold B information, the form parameters describe the relatively static general parameters of the materials and are used for assisting classification and identification of the materials, and the expansion shells describe non-core business data of the materials.

3. An intelligent manufacturing unit designer for use in industry 4.0 as in claim 1, wherein the production element event response in the production element model is comprised of static properties, dynamic states, input instructions, and output events, static properties: invariable after modeling; dynamic state: can only be changed by own instructions; inputting an instruction: an instruction received from the outside; outputting an event: events output externally.

4. An instantiation method using an intelligent manufacturing unit designer according to any one of claims 1-3, said method being characterized by the steps of:

s1, inputting step data: in the intelligent manufacturing unit designer, a user inputs relevant information of a process step, including an operation standard, an operation step and a signature requirement, and the data are processed and analyzed through an SOP mark language module;

s2, generating a human-computer interaction interface: based on the input step data, the intelligent manufacturing unit designer automatically generates a human-computer interaction interface for displaying the operation steps of the step, the operation standard requirements and interface elements for interacting with an operator;

s3, generating an electronic batch record: the intelligent manufacturing unit designer automatically generates an electronic batch record according to the data and the operation steps of the process steps, wherein the electronic batch record can record the execution condition of the process steps, the signature of an operator and the timestamp information;

s4, generating a paper batch record: in addition to the electronic batch record, the intelligent manufacturing unit designer also generates a template for the paper batch record, which contains the requirements of the process steps and the filling fields for the operator to record relevant information at the job site;

s5, flexible grouping of operation program groups: if the number of steps contained in one working unit is too large, the working program groups are used for flexible grouping, and a plurality of working steps can form one working program group;

s6, constructing a standard operation program: in the working unit, a standard operation program is strictly formulated according to the manufacturing process and the quality requirement, and the standard operation program consists of a plurality of operation program groups, wherein the operation steps of the working step and the operation standard requirement information are included;

s7, combining the standard working units: standard work program, material, equipment, personnel, environmental and quality requirements elements are combined into a standard work unit, which represents a repeatable, monitorable and optimizable production unit.

5. The method of claim 4, wherein the SOP mark-up language module is used as a core data structure, the SOP mark-up language module includes two parts, namely a standard part and an operation part, the standard part is composed of a combination of SOP description and standard-threshold value N, the standard part is used for standardizing the requirement and limitation of the operation, the operation part contains the standard URI-generation value N and signature information, the operation part is used for recording and tracking the execution condition and result of the operation, and the SOP mark-up language module enables the business operation data to be uniformly managed and processed and also provides a basis for data interaction and sharing.

6. An instantiation method according to claim 4, further comprising a drag method, said drag method comprising:

s1, selecting a source object: the user selects an object to be dragged from the main data list through a mouse;

s2, drag operation: the user presses the left button of the mouse and drags the left button to the target position, and the drag operation is usually accompanied by a visual feedback;

s3, detecting a target area: the system monitors the mouse in real time in the dragging process, and judges the current target area, wherein the target area can be an area for inputting materials, intermediate materials or outputting materials;

s4, highlighting a target area: when a user drags a source object to an effective target area, the system prompts the user that the current target area is effective through a highlighting effect;

s5, placing operation: releasing the mouse by the user, placing the source object in the target area, correspondingly establishing the association between the source object and the target area by the system, and associating the main data with the corresponding category;

s6, association processing: the system can store the corresponding data association into a database or a memory according to the drag operation of the user, so that the correctness and consistency of the data are ensured;

s7, error processing: the system needs to perform error processing in the dragging process, detects the situation that repeated data appear when a user drags to an impermissible area or a target area, gives the user timely feedback when the error is found, and provides a corresponding error prompt;

s8, deleting: in order to provide a better user experience, the system data deleting function allows a user to delete wrong main data and drag new main data again in the configuration process.