CN115495880A - Digital twin model of process manufacturing workshop and digital twin system construction method - Google Patents
Digital twin model of process manufacturing workshop and digital twin system construction method Download PDFInfo
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Abstract
The invention discloses a digital twinning model of a process manufacturing workshop and a method for constructing a digital twinning system, wherein the method for constructing the digital twinning model comprises the following steps: modeling each element geometric physical attribute of the process manufacturing physical workshop through industrial modeling software to construct a static physical model SPM; constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop; and establishing a data communication interface, performing model fusion on the SPM and the DDRM, and completing the construction of the digital twin model. Further, grading the multidimensional digital twin model of the workshop element according to the composition structure of the physical workshop to obtain a workshop-level multidimensional digital twin model; constructing a digital twin system formed by combining a physical production line system PS, a virtual production line system VS, a production line information service system IS and a twin data system DS; and performing pairwise interaction and iterative operation on the PS, the VS and the IS through the DS to complete the construction of the digital twin system.
Description
Technical Field
The invention relates to a digital twin model of a process manufacturing workshop and a digital twin system construction method, belonging to the technical field of digital twins in the process manufacturing industry.
Background
The production process of the process industry is formed by orderly arranging and combining different processes, the behavior and the flow among the processes are seriously coupled, a plurality of process rules are involved in the production process of the process type manufacturing industry, process equipment and process parameters used by the different process rules are closely related to quality indexes, a virtual-real mapping and iterative operation mechanism of all elements of the production process is formed under the manufacturing environment of man-machine-physical cooperation and multi-process coupling of a process manufacturing workshop, and intelligent service is provided for accurate prediction and regulation of the production process, so that the problem which needs to be solved at present is urgently solved.
Disclosure of Invention
The invention provides a method and a device for constructing a digital twin model of a process manufacturing workshop, which are used for constructing the digital twin model of the workshop; a flow manufacturing workshop digital twin system construction method and device are provided for constructing a workshop digital twin system.
The technical scheme of the invention is as follows: a method for constructing a digital twin model of a process manufacturing workshop comprises the following steps:
modeling each element geometric physical attribute of the process manufacturing physical workshop through industrial modeling software to construct a static physical model SPM;
constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
and establishing a DCI (data communication interface), performing model fusion on a static physical model SPM (self-adaptive binary Pattern) and a dynamic data relation model DDRM (distributed data management), and completing construction of a workshop element multi-dimensional digital twin model.
Optionally, the plant element multidimensional digital twin model is formed by fusing a static physical model and a dynamic data relationship model, and an expression of the plant element multidimensional digital twin model DTM is as follows:
DTM＝SPM∪DDRM∪DCI
wherein: SPM is static physical model; the DDRM is a dynamic data relation model; the DCI is a data communication interface.
Optionally, the expression of model fusion between the static physical model SPM and the dynamic data relational model DDRM is:
F＝O∪U
DDRM = { S, C } and
O＝{o 1 ，o 2 ，…，o q }
C＝{c 1 ,c 2 ,…,c t and
wherein: f represents a reasonable evaluation rule; o represents a rational constraint relationship, O q Representing the qth reasonable constraint relation; u represents a reasonable operating threshold, U P Represents the pth legitimate operating threshold; s denotes a set of operating parameters of the plant, S P Representing the P-th operating parameter of the equipment; c represents a data set of process parameters of the production process, C t Representing the t-th process parameter;
indicates that S acts on C; WE represents a workshop event; z represents an event evaluation mechanism;
representing a workshop event WE formed by the process parameters, and evaluating the workshop event WE in the workshop by an event evaluation mechanism Z;
indicating that the equipment operating parameter matches the operating threshold characteristic;
and the reasonable evaluation rule and the event evaluation mechanism are effectively integrated.
The fusing step comprises:
establishing a reasonable constraint relation and a reasonable operation threshold in the SPM through analyzing the SPM hierarchical structure of the SPM, and establishing a reasonable evaluation rule comprising the reasonable constraint relation and the reasonable operation threshold;
according to the dynamic change of the dynamic data in the dynamic data relation model DDRM, establishing a mapping relation between the dynamic data of the production flow and the production line event, and generating an event evaluation mechanism;
comparing and judging the current production line event with the workshop production flow through an event evaluation mechanism; judging the rationality of a rational constraint relation and a rational operation threshold value in the static physical model through a rational evaluation rule; carrying out feature matching on equipment operation parameter data of a production line and a reasonable operation threshold;
the real-time driving of the dynamic data to the static physical model and the real-time mapping of the dynamic data are realized through the DCI, and the effective integration of a reasonable evaluation rule and an event evaluation mechanism is completed; and finishing the construction of the workshop element multi-dimensional digital twin model.
According to another aspect of the present invention, there is provided a flow manufacturing shop digital twin model building apparatus, including:
the system comprises a first construction module, a second construction module and a third construction module, wherein the first construction module is used for modeling the geometric and physical attributes of each element of the process manufacturing physical workshop through industrial modeling software and constructing a static physical model SPM;
the second construction module is used for constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
and the third construction module is used for establishing a data communication interface DCI, performing model fusion on the static physical model SPM and the dynamic data relation model DDRM, and completing construction of the workshop element multi-dimensional digital twin model.
According to another aspect of the invention, a method for constructing a flow manufacturing shop digital twin system is provided, which includes any one of the above steps of the method for constructing a flow manufacturing shop digital twin model, and further includes:
grading the multidimensional digital twin model of the workshop elements according to the composition structure of the physical workshop to obtain a workshop-level multidimensional digital twin model;
constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system; the virtual production line system comprises a workshop-level multi-dimensional digital twin model;
and carrying out pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through a twin data system to complete the construction of a digital twin system of the process manufacturing workshop.
Optionally, the multidimensional digital twin model for the plant elements is divided into: the model comprises three physical levels of a unit level, a production line level and a workshop level, and the model expression is as follows:
DTM ws ＝n×DTM pl +DTM ev
DTM pl ＝n1×DTM eq +n2×DTM pr +n3×DTM pe
wherein: n, n1, n2 and n3 respectively represent the virtual representation quantity of the corresponding twin model; DTM ws Is a digital twin model of the workshop level; DTM pl Is a production line level digital twin model; DTM ev A digital twinning model for an environmental element; DTM eq A digital twinning model for the device; DTM pr A material/product digital twinning model; DTM pe Is a human digital twin model.
Optionally, the physical production line system, the virtual production line system, and the production line information service system perform pairwise interaction and iterative operation through the twin data system, so as to complete the construction of the digital twin system in the process manufacturing workshop, including:
the production line information service system is in data communication with the physical production line system, and performs resource allocation on production elements and formulates a production task plan based on the acquisition of production element resources of the physical production line system by the production line information service system; the physical production line system is used for acquiring a production task plan formulated by the production line information service system to carry out production operation and transmitting dynamic data generated by the production operation to the twin data system;
carrying out virtual-real mapping between the physical production line system and the virtual production line system, carrying out real-time monitoring on the production running state of the physical production line system by the virtual production line system, establishing an incidence relation between dynamic data according to the dynamic data of the physical production line system, carrying out real-time early warning on the running state of the physical production line system, and realizing supervision on the physical production line system;
information feedback is carried out between the production line information service system and the virtual production line system, and the production line information service system optimizes a production task plan according to early warning information by acquiring the early warning information of the virtual production line system;
the interaction among the systems is iterated continuously until the production task is finished;
the data interaction among the physical production line system, the virtual production line system and the production line information service system is realized through the twin data system.
According to another aspect of the present invention, there is also provided a flow manufacturing shop digital twin system construction apparatus, including the flow manufacturing shop digital twin model construction apparatus, further including:
the acquisition module is used for grading the multidimensional digital twin model of the workshop element according to the composition structure of the physical workshop to obtain an inter-workshop-level multidimensional digital twin model;
the first construction module is used for constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system; the virtual production line system comprises a workshop-level multi-dimensional digital twin model;
and the second construction module is used for carrying out pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through the twin data system to complete construction of the digital twin system of the process manufacturing workshop.
The beneficial effects of the invention are:
aiming at the problems that the coupling among the procedures in the process manufacturing process is serious, the process modeling is difficult, and the equipment operation parameters and the process parameters in different process procedures are closely related to the performance index parameters, so that the realization of the intelligent prediction and the timely feedback of the process manufacturing production process is urgently needed to be solved. The invention provides a process manufacturing workshop digital twin model driven by data and model fusion and a digital twin system, realizes the fusion drive of the data and the model, converts the coupling relation among the processes in the process manufacturing production process into the coupling relation among all twin model parameters, and the proposed fusion mode fundamentally ensures the accuracy of data sources and avoids the disorder of prediction results caused by data errors. In addition, the invention can effectively realize the management of workshop equipment, the visual management of process parameters, the early warning of the production process and the feedback optimization of production information, enhance the high fusion and optimization decision of the flow production workshop and lay a foundation for the intelligent regulation and control of the workshop.
Drawings
FIG. 1 is a diagram of a digital twin model building overall architecture of a workshop;
FIG. 2 is a diagram of a digital twin model of a plant according to an embodiment of the present invention;
FIG. 3 is a flow chart of a static physical model and dynamic data relational model fusion;
FIG. 4 is an overall architecture diagram of a flow manufacturing shop digital twinning system;
FIG. 5 is a multi-dimensional digital twin model internal model hierarchy diagram of a plant;
FIG. 6 is a flow manufacturing shop digital twinning system iteration run chart;
FIG. 7 is a flow chart of a manufacturing shop digital twinning system according to an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the following figures and examples, but the scope of the invention is not limited thereto.
As shown in fig. 1-2, a method for constructing a digital twin model of a flow manufacturing plant includes:
modeling the geometric and physical attributes of each element of the process manufacturing physical workshop through industrial modeling software to construct a static physical model SPM; the geometric physical properties comprise equipment size, equipment structure, constraint relation and physical properties; carrying out equal-proportion modeling on geometric and physical properties of a physical workshop by adopting industrial modeling software such as NX, creo, 3Dmax and the like to realize the accuracy of the model; by utilizing a 3Dmax face reduction processing technology, the model is lightened under the condition that the precision of the model is not influenced; the constructed model is further imported into the Unity 3D to realize interaction, fusion and visualization of the model; therefore, a precise, lightweight, visual, interactive and fusible static physical model is constructed.
Constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
specifically, the dynamic data comprises element operation parameters, process parameters and performance index parameters in the production flow; carrying out standardization processing on the collected multi-source heterogeneous dynamic data; and then fitting a functional relation, namely an incidence relation, among the operation parameters, the process parameters and the performance index parameters of each element by adopting a neural network model, thereby constructing a standardized, optimized, interactive and fusible dynamic data relation model.
And establishing a DCI (data communication interface), performing model fusion on a static physical model SPM (self-adaptive binary Pattern) and a dynamic data relation model DDRM (distributed data management), and completing construction of a workshop element multi-dimensional digital twin model.
Taking a wire-making production test line of a certain process manufacturing enterprise as an example, the key elements of the production test line comprise a blending machine, a wire cutter, a flavoring machine, a leaf wetting machine, a wire drying machine, a heating and humidifying machine, an industrial robot, materials and environment; constructing a Static Physical Model (SPM) for each element; taking a leaf wetting machine as an example, obtaining the size of each component in the leaf wetting machine through an industrial measuring tool, and carrying out equal-proportion three-dimensional modeling on each component through industrial modeling software; forming a geometrical model of the leaf moistening machine through a constraint relation between the components; adding physical attributes such as material, appearance and the like to the geometric model in industrial modeling software to obtain a geometric physical model, and performing surface reduction treatment; the geometric physical modeling of other elements is the same; after the geometric physical modeling of all the elements is completed, introducing the geometric physical models subjected to the lightweight processing into Unity 3D together to complete the construction of a static physical model SPM; it should be noted that, in the present invention, all the geometric physical properties are constructed by industrial modeling software, which can solve the problem of workload increase caused by constructing physical properties by Unity 3D.
Constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop; taking a loosening and dampening procedure of a leaf wetting machine as an example, acquiring standardized dynamic data in the loosening and dampening procedure through an MES (manufacturing execution system), and fitting a functional relation among running parameters, process parameters and performance index parameters of each element by adopting a neural network model to serve as a dynamic data relation model DDRM (distributed data modeling);
further, the workshop element multidimensional digital twin model is formed by fusing a static physical model and a dynamic data relation model, and an expression of the workshop element multidimensional digital twin model DTM is as follows:
DTM＝SPM∪DDRM∪DCI
wherein: SPM is static physical model; the DDRM is a dynamic data relation model; the DCI is a data communication interface.
Optionally, the expression of model fusion between the static physical model SPM and the dynamic data relational model DDRM is:
F＝O∪U
DDRM = { S, C } and
O＝{o 1 ，o 2 ，…，o q }
C＝{c 1 ,c 2 ,…,c t and
wherein: f represents a reasonable evaluation rule; o represents a rational constraint relationship, O q Representing the qth reasonable constraint relation; u represents a reasonable operating threshold, U P Represents the pth legitimate operating threshold; s denotes a set of operating parameters of the plant, S P Representing the P-th operating parameter of the equipment; c represents a data set of process parameters of the production process, C t Representing the t-th process parameter;
indicates that S acts on C; WE represents a workshop event; z represents an event evaluation mechanism;
representing a workshop event WE formed by process parameters, and evaluating the workshop event WE in a workshop by an event evaluation mechanism Z;
indicating that the equipment operating parameter matches the operating threshold characteristic;
and the reasonable evaluation rule and the event evaluation mechanism are effectively integrated.
Further, as shown in fig. 3, the fusing step includes:
determining a reasonable constraint relation and a reasonable operation threshold in the static physical model SPM by analyzing the hierarchy of the static physical model SPM, and constructing a reasonable evaluation rule comprising the reasonable constraint relation and the reasonable operation threshold;
according to the dynamic change of the dynamic data in the dynamic data relation model DDRM, establishing a mapping relation between the dynamic data of the production flow and the production line event, and generating an event evaluation mechanism;
comparing and judging the current production line event with the workshop production flow through an event evaluation mechanism; judging the rationality of a rational constraint relation and a rational operation threshold value in the static physical model through a rational evaluation rule; carrying out feature matching on equipment operation parameter data of a production line and a reasonable operation threshold;
the real-time driving of the dynamic data to the static physical model and the real-time mapping of the dynamic data are realized through the DCI, and the effective integration of a reasonable evaluation rule and an event evaluation mechanism is completed; and finishing the construction of the workshop element multi-dimensional digital twin model.
Specifically, the method comprises the following steps:
(1) By analyzing the level structure of the static physical model SPM, the constraint relation between each level and each element physical model is excavated, the reasonable constraint relation and the reasonable operation threshold value in the static physical model SPM are established, and the reasonable evaluation rule comprising the reasonable constraint relation and the reasonable operation threshold value is constructed. Such as: the static physical model of the industrial mechanical arm and the physical entity have the same reasonable constraint relations such as size constraint, angle constraint and the like, so that the rationality of the static physical model is ensured; and simultaneously, establishing operation threshold values of the physical models, and establishing reasonable operation threshold values of the models according to the actual operation range of the physical entity, such as: the operation angle of each joint of the static physical model of the industrial mechanical arm is consistent with the entity.
TABLE 1 reasonable operation threshold of industrial mechanical arm
(2) The method comprises the steps of deeply analyzing dynamic data in a Dynamic Data Relation Model (DDRM), analyzing dynamic changes of production process data around real-time changes of equipment operation data, establishing a mapping relation between the production process dynamic data and production line events, analyzing the reasonability of production line event logic and generating an event evaluation mechanism.
(3) Firstly, an event evaluation mechanism is adopted to compare and judge a current production line event and a workshop production flow, the production line data and the rationality of the event are analyzed, a basis is provided for accurately mapping the production line event by a twin model, and secondly, the rationality of a constraint relation and an operation threshold value in a static physical model is judged by a rational evaluation rule, so that the operation rule of the twin model is consistent with the physical entity. And then, carrying out feature matching on the equipment operation data of the production line and a reasonable operation threshold value to ensure the correctness of the real-time operation data, finally realizing the real-time driving of the dynamic data to the static physical model and the real-time mapping of the dynamic data through a data communication interface DCI, and finishing the effective integration of a reasonable evaluation rule and an event evaluation mechanism. For example: taking the operation of an industrial mechanical arm in a production flow at a certain moment as an example, firstly, an event evaluation mechanism is adopted to compare a currently mapped production line event (mechanical arm motion) with the production flow, if an entity mechanical arm does not move, but the currently mapped production line event enables the mechanical arm to move, the situation that the event is not matched with the production flow is judged, and dynamic data needs to be collected again; if the event is matched with the production flow, setting and judging the constraint relation and the operation threshold value in the mechanical arm static physical model, ensuring the rationality of the static physical model, then comparing and judging the real-time operation parameter data of the mechanical arm with the reasonable operation threshold value, if the real-time operation parameter data accords with the reasonable operation threshold value of the mechanical arm, driving the static physical model by using the real-time data, and mapping the data in real time (specifically, the static physical model is driven by element operation parameters, the process parameters and the performance index parameters are displayed in real time through a display board, so as to realize the real-time mapping, and the performance index parameters comprise predicted performance index parameters and real-time performance index parameters.
According to another aspect of the present invention, there is provided a flow manufacturing shop digital twin model building apparatus including:
the system comprises a first construction module, a second construction module and a third construction module, wherein the first construction module is used for modeling the geometric and physical attributes of each element of the process manufacturing physical workshop through industrial modeling software and constructing a static physical model SPM;
the second construction module is used for constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
and the third construction module is used for establishing a data communication interface DCI, performing model fusion on the static physical model SPM and the dynamic data relation model DDRM, and completing construction of the workshop element multi-dimensional digital twin model.
According to another aspect of the invention, a method for constructing a flow manufacturing shop digital twin system is provided, which includes any one of the above steps of the method for constructing a flow manufacturing shop digital twin model, and further includes:
grading the multidimensional digital twin model of the workshop element according to the composition structure of the physical workshop to obtain an intercar-level multidimensional digital twin model;
constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system, as shown in FIG. 4; the virtual production line system comprises a workshop-level multi-dimensional digital twin model; the specific expression IS DTS = { PS, VS, IS, DS }, wherein PS IS a physical production line system, VS IS a virtual production line system, IS IS a production line information service system, and DS IS a twin data system;
and performing pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through the twin data system to complete the construction of the digital twin system of the process manufacturing workshop.
Further, as shown in fig. 5, the multidimensional digital twin model for the plant elements is divided into: the three physical levels of unit level, production line level and workshop level are as follows:
DTM ws ＝n×DTM pl +DTM ev
DTM pl ＝n1×DTM eq +n2×DTM pr +n3×DTM pe
wherein: n, n1, n2 and n3 respectively represent the virtual representation quantity of the corresponding twin model; DTM ws Is an inter-vehicle digital twin model; DTM pl A production line level digital twin model; DTM ev A digital twinning model for an environmental element; DTM eq A digital twin model of the device; DTM pr Is a material/product digital twin model; DTM pe Is a digital twin model of a human.
Further, as shown in fig. 6, the physical production line system, the virtual production line system, and the production line information service system perform pairwise interaction and iterative operation through the twin data system, so as to complete the construction of the digital twin system in the process manufacturing workshop, including:
the production line information service system (IS) and the physical production line system (PS) are in data communication, and based on the production line information service system obtaining production element resources of the physical production line system, the production line information service system performs resource allocation on the production elements and formulates a production task plan; the physical production line system is used for acquiring a production task plan formulated by the production line information service system to carry out production operation and transmitting dynamic data generated by the production operation to the twin data system;
performing virtual-real mapping between a physical production line system (PS) and a virtual production line system (VS), monitoring the production running state of the physical production line system in real time by the virtual production line system, establishing an association relation between dynamic data according to the dynamic data of the physical production line system (PS), and performing real-time early warning on the running state of the physical production line system to realize supervision on the physical production line system (PS);
information feedback IS carried out between a production line information service system (IS) and a virtual production line system (VS), and the production line information service system optimizes a production task plan according to early warning information by acquiring the early warning information of the virtual production line system (for example, the early warning information can be a performance parameter predicted value);
the interaction among the systems is iterated continuously until the production task is finished;
the data interaction among the physical production line system, the virtual production line system and the production line information service system is realized through the twin data system.
According to another aspect of the present invention, there is also provided a flow manufacturing shop digital twin system construction apparatus (including a first construction module, a second construction module, and a third construction module), including the flow manufacturing shop digital twin model construction apparatus, further including:
the acquisition module is used for grading the multidimensional digital twin model of the workshop element according to the composition structure of the physical workshop to obtain an inter-workshop-level multidimensional digital twin model;
the first construction module is used for constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system; the virtual production line system comprises a workshop-level multi-dimensional digital twin model;
and the second construction module is used for carrying out pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through the twin data system to complete construction of the digital twin system of the process manufacturing workshop.
Constructing a flow manufacturing workshop digital twin system, namely constructing a workshop element digital twin model from the aspect of twin model construction; then dividing the twin model into three levels, namely a unit level, a production line level and an inter-vehicle level, according to the physical composition structure of the workshop; then, a digital twin system which is formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system is established; and finally, realizing visual monitoring, intelligent prediction and iterative optimization of the flow manufacturing workshop through the closed-loop operation of the digital twin system. Therefore, the digital twin system of the process manufacturing workshop is constructed by adopting a digital twin technology, and the functions of three-dimensional visual monitoring, intelligent prediction, production control and the like of the production process of the process manufacturing workshop are realized by adopting the digital twin system operation mechanisms such as real-time interaction, iterative operation and the like between the twin model and the physical entity, so that the production efficiency and the production quality are greatly improved.
Taking a wire-making production test line of a certain process manufacturing enterprise as an example, a digital twin system constructing device of a process manufacturing workshop is adopted to construct a digital twin system thereof, as shown in fig. 7: the production line operation equipment and the data acquisition device of the wire production test line are divided into a physical production line system, so that the production activity of the physical production line system is ensured, and the data acquisition capacity of the physical production line system is also ensured; constructing a virtual production line system which combines static mapping and dynamic mapping of a physical production line system; building a production line information service system for providing specific support and service for the production activities of the silk production test line; an integrated and shared digital twin system is constructed for the digital twin system of the wire-making production test line, information barriers are eliminated, and a data channel is opened.
While the present invention has been described in detail with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (9)
1. A method for constructing a digital twin model of a process manufacturing workshop is characterized by comprising the following steps: the method comprises the following steps:
modeling the geometric and physical attributes of each element of the process manufacturing physical workshop through industrial modeling software to construct a static physical model SPM;
constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
and establishing a DCI (data communication interface), performing model fusion on a static physical model SPM (self-adaptive binary Pattern) and a dynamic data relation model DDRM (distributed data management), and completing construction of a workshop element multi-dimensional digital twin model.
2. The process manufacturing plant digital twin model building method according to claim 1, characterized in that: the workshop element multidimensional digital twin model is formed by fusing a static physical model and a dynamic data relation model, and the expression of the workshop element multidimensional digital twin model DTM is as follows:
DTM＝SPM∪DDRM∪DCI
wherein: SPM is static physical model; the DDRM is a dynamic data relation model; the DCI is a data communication interface.
3. The process manufacturing plant digital twin model building method according to claim 1, characterized in that: the expression of model fusion of the static physical model SPM and the dynamic data relational model DDRM is as follows:
F＝O∪U
DDRM = { S, C } and
O＝{o 1 ，o 2 ，…，o q }
C＝{c 1 ,c 2 ,…,c t and are
Wherein: f represents a reasonable evaluation rule; o represents a rational constraint relationship, O q Representing the qth reasonable constraint relation; u represents a reasonable operating threshold, U P Represents the pth reasonable operational threshold; s denotes a set of device operating parameters, S P Representing the P-th operating parameter of the equipment; c represents a data set of process parameters of the production process, C t Representing the t-th process parameter;
indicates that S acts on C; WE represents a workshop event; z represents an event evaluation mechanism;
representing a workshop event WE formed by the process parameters, and evaluating the workshop event WE in the workshop by an event evaluation mechanism Z;
indicating that the equipment operating parameter matches the operating threshold characteristic;
and the reasonable evaluation rule and the event evaluation mechanism are effectively integrated.
4. The process manufacturing plant digital twin model building method according to claim 3, characterized in that: the step of fusing comprises:
establishing a reasonable constraint relation and a reasonable operation threshold in the SPM through analyzing the SPM hierarchical structure of the SPM, and establishing a reasonable evaluation rule comprising the reasonable constraint relation and the reasonable operation threshold;
according to the dynamic change of the dynamic data in the dynamic data relation model DDRM, establishing a mapping relation between the dynamic data of the production flow and the production line event, and generating an event evaluation mechanism;
comparing and judging the current production line event with the workshop production flow through an event evaluation mechanism; judging the rationality of a rational constraint relation and a rational operation threshold in the static physical model through a rational evaluation rule; carrying out feature matching on equipment operation parameter data of a production line and a reasonable operation threshold;
the real-time driving of the dynamic data to the static physical model and the real-time mapping of the dynamic data are realized through the DCI, and the effective integration of a reasonable evaluation rule and an event evaluation mechanism is completed; and finishing the construction of the workshop element multi-dimensional digital twin model.
5. A flow manufacturing shop digital twin model building device is characterized in that: the method comprises the following steps:
the system comprises a first construction module, a second construction module and a third construction module, wherein the first construction module is used for modeling the geometric and physical attributes of each element of the process manufacturing physical workshop through industrial modeling software and constructing a static physical model SPM;
the second construction module is used for constructing a dynamic data relation model DDRM according to the incidence relation among the dynamic data of the process manufacturing physical workshop;
and the third construction module is used for establishing a data communication interface DCI, performing model fusion on the static physical model SPM and the dynamic data relation model DDRM, and completing construction of a workshop element multi-dimensional digital twin model.
6. A method for constructing a digital twin system of a process manufacturing workshop is characterized by comprising the following steps: the flow manufacturing plant digital twin model construction method comprising any one of claims 1-4, further comprising:
grading the multidimensional digital twin model of the workshop elements according to the composition structure of the physical workshop to obtain a workshop-level multidimensional digital twin model;
constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system; the virtual production line system comprises a workshop-level multi-dimensional digital twin model;
and performing pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through the twin data system to complete the construction of the digital twin system of the process manufacturing workshop.
7. The method of constructing a flow manufacturing shop digital twinning system as claimed in claim 6, wherein: the multidimensional digital twin model of the workshop elements is divided into the following components according to the composition structure of a physical workshop: the three physical levels of unit level, production line level and workshop level are as follows:
DTM ws ＝n×DTM pl +DTM ev
DTM pl ＝n1×DTM eq +n2×DTM pr +n3×DTM pe
wherein: n, n1, n2 and n3 respectively represent the virtual representation quantity of the corresponding twin model; DTM ws Is an inter-vehicle digital twin model; DTM pl Is a production line level digital twin model; DTM ev A digital twinning model for an environmental element; DTM eq A digital twin model of the device; DTM pr Is a material/product digital twin model; DTM pe Number twin for a personAnd (4) generating a model.
8. The method of constructing a flow manufacturing shop digital twinning system as claimed in claim 6, wherein: the physical production line system, the virtual production line system and the production line information service system carry out pairwise interaction and iterative operation through the twin data system to complete the construction of the digital twin system of the process manufacturing workshop, and the construction comprises the following steps:
the production line information service system is in data communication with the physical production line system, and performs resource allocation on production elements and formulates a production task plan based on the acquisition of production element resources of the physical production line system by the production line information service system; the physical production line system is used for acquiring a production task plan formulated by the production line information service system to carry out production operation and transmitting dynamic data generated by the production operation to the twin data system;
virtual-real mapping is carried out between the physical production line system and the virtual production line system, the virtual production line system carries out real-time monitoring on the production running state of the physical production line system, the incidence relation between dynamic data is established according to the dynamic data of the physical production line system, real-time early warning is carried out on the running state of the physical production line system, and supervision on the physical production line system is achieved;
information feedback is carried out between the production line information service system and the virtual production line system, and the production line information service system optimizes a production task plan according to early warning information by acquiring the early warning information of the virtual production line system;
the interaction among the systems is iterated continuously until the production task is finished;
the data interaction among the physical production line system, the virtual production line system and the production line information service system is realized through the twin data system.
9. A flow manufacturing shop digital twin system construction device is characterized in that: the flow manufacturing shop digital twin model building apparatus comprising the process of claim 5, further comprising:
the acquisition module is used for grading the multidimensional digital twin model of the workshop element according to the composition structure of the physical workshop to obtain an inter-workshop-level multidimensional digital twin model;
the first construction module is used for constructing a digital twin system formed by combining a physical production line system, a virtual production line system, a production line information service system and a twin data system; the virtual production line system comprises a workshop-level multi-dimensional digital twin model;
and the second construction module is used for carrying out pairwise interaction and iterative operation on the physical production line system, the virtual production line system and the production line information service system through the twin data system to complete construction of the digital twin system of the process manufacturing workshop.
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