CN114282620A - Multi-source information physical twin data fusion management method and management system - Google Patents
Multi-source information physical twin data fusion management method and management system Download PDFInfo
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Abstract
The application relates to a multi-source information physical twin data fusion management method and a management system, wherein a multi-source information physical twin data set is formed by acquiring information physical twin data and network data of a digital factory; preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data; performing real-time data fusion supplementation on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data; and exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management. Information physical twin data and network information physical twin data in different time domains are managed in a fusion mode, so that data of all service departments are complete and safe, and sharing of the enterprise management information physical twin data is effectively achieved.
Description
Technical Field
The disclosure relates to the technical field of digital factory data comprehensive processing, in particular to a multi-source information physical twin data fusion management method and a management system.
Background
The multi-source data fusion technology is a technology for integrating all information obtained by investigation and analysis by using relevant means, and performing unified evaluation on the information to finally obtain unified information. The technology is developed for integrating various data information, absorbing the characteristics of different data sources and then extracting uniform, better and richer information than single data. The multi-source data fusion technology is applied to processing of different business data, optimal selection of the data can be achieved, the data can be preprocessed, and then data fusion comprehensive analysis is carried out to obtain results. The method is a characteristic of the multi-source data fusion technology and enables the specific application operation process to be realized.
In the management of the digital factory multi-service department, due to the stage, the technical and other economic and human resource influences of the digital factory multi-service department, in the management of the digital factory service data, the service data of different storage modes are adopted, so that the ambiguity, the difference and the heterogeneity of the data information on the structure and the semanteme are caused,
therefore, the invention provides a multi-source information physical twin data fusion management method to solve the problems in the prior art.
Disclosure of Invention
In order to solve the above problems, the present application provides a multi-source information physical twin data fusion management method and a management system.
On one hand, the multi-source information physical twin data fusion management method comprises the following steps:
s100, acquiring information physical twinning data and network data of a digital factory to form a multi-source information physical twinning data set;
s200, preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data;
s300, performing real-time data fusion and supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
and S400, exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
As an optional embodiment of the present application, optionally, in step S100, the acquiring the cyber-physical twin data and the network data of the digital plant to form a multi-source cyber-physical twin data set includes:
s101, selecting an information physical twin data acquisition model and a network data acquisition model;
s102, sending an information physical twin data acquisition command to the enterprise business department through the information physical twin data acquisition model, and acquiring information physical twin data of each department business in real time;
s103, sending a network data acquisition instruction to the enterprise business department through the network data acquisition model, and acquiring the network data of each department business in real time;
and S104, collecting the information physical twinning data and the network data of the digital factory, and performing information physical twinning data integration processing to obtain a multi-source information physical twinning data set.
As an optional implementation of this application, optionally, in step S200, the preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data includes:
s201, respectively carrying out data cleaning and de-weighting processing on the collected information physical twin data and the collected network data of the digital factory to obtain cleaning and de-weighting information physical twin data and cleaning and de-weighting network data;
s202, performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
and S203, uploading the multi-source information physical preprocessing data to a cloud server and storing the data.
As an optional implementation of the present application, optionally, in step S300, performing real-time data fusion and supplementation on the multi-source cyber-physical preprocessing data, and performing fusion and supplementation on the business-updated cyber-physical twin data and the network-cyber-physical twin data into the multi-source cyber-physical preprocessing data to obtain multi-source cyber-physical fusion data includes:
s301, acquiring information physical twin data and network data of the digital factory after service updating;
s302, fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
s303, performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
In another aspect of the present application, a system for implementing the multi-source information physical twin data fusion management method is provided, including:
a multi-source data acquisition unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring information physical twin data and network data of a digital factory to form a multi-source information physical twin data set;
a data preprocessing unit: the multi-source information physical twin data set is used for preprocessing the multi-source information physical twin data set, and multi-source information physical preprocessing data are obtained and sent;
a fusion supplement unit: the system is used for performing real-time data fusion supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
a visualization management unit: and the system is used for exporting the multi-source information physical fusion data and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
As an optional implementation of the present application, optionally, the multi-source data obtaining unit includes:
a solicited model selection unit: the system comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is used for selecting an information physical twin data acquisition model and a network data acquisition model;
a request instruction sending unit: the information physical twin data acquisition model is used for sending an information physical twin data acquisition command to the enterprise business department and acquiring the information physical twin data of each department business in real time;
a data transmission unit: the network data acquisition module is used for sending a network data acquisition instruction to the enterprise business department through the network data acquisition model and acquiring the network data of each department business in real time;
an integrated unit: and the system is used for collecting the information physical twin data and the network data of the digital factory, performing information physical twin data integration processing and obtaining a multi-source information physical twin data set.
As an optional embodiment of the present application, optionally, the data preprocessing unit includes:
cleaning and weight removing unit: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring information physical twinning data and network data of a digital factory;
an association fusion unit: the system is used for performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
an uploading unit: and the multi-source information physical preprocessing data are uploaded to a cloud server and stored.
As an optional embodiment of the present application, optionally, the fused supplementary unit comprises:
a data update unit: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring information physical twin data and network data of a digital factory after service updating;
a supplementing unit: the system is used for fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
and (3) supplementing an integrated unit: and the multi-source information physical preprocessing data fusion processing device is used for performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
In another aspect of the present application, a management device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the multi-source information physical twin data fusion management method when executing the executable instructions.
The invention has the technical effects that:
the method comprises the steps of forming a multi-source information physical twin data set by obtaining information physical twin data and network data of a digital factory; preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data; performing real-time data fusion supplementation on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data; and exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management. The method comprises the steps of collecting information physical twin data and network information physical twin data of different time domains of a digital factory to form a multi-source heterogeneous information physical twin data set, carrying out effective processing, associated data fusion and cleaning and de-duplication on the multi-source information physical twin data, enabling the multi-source heterogeneous information physical twin data to be clear and consistent, enabling the multi-service department data of each business enterprise to be complete, safe and shared in the management of the multi-service department of the enterprise, providing a solution for information physical twin data integration of enterprise management, and effectively achieving sharing of the information physical twin data of enterprise management.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic flow chart of an embodiment of a multi-source information physical twin data fusion management method according to the present invention;
FIG. 2 is a schematic diagram illustrating the structure of the multi-source information physical twin data fusion management system according to the present invention;
FIG. 3 is a schematic diagram showing the structure of the data preprocessing unit according to the present invention.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Example 1
The technology comprises the steps of collecting information physical twin data and network information physical twin data of different time domains of a digital factory to form a multi-source heterogeneous information physical twin data set, carrying out effective processing on the multi-source information physical twin data, fusing and cleaning related data to remove the duplication, enabling the multi-source heterogeneous information physical twin data to be clear and consistent, enabling the multi-service department data of each business enterprise to be complete, safe and shared in the management of the multi-service department of the enterprise, providing a solution for the information physical twin data integration of the enterprise management, and effectively achieving the sharing of the enterprise management information physical twin data.
As shown in fig. 1, a multi-source information physical twin data fusion management method is disclosed, which comprises the following steps:
s100, acquiring information physical twinning data and network data of a digital factory to form a multi-source information physical twinning data set;
in enterprise management, a plurality of business departments of an enterprise need to manage, data of different business departments need to be managed simultaneously, and data of each department is across information physics and needs to be fused.
First, it is necessary to obtain information physical twin data and network data of a digital plant, and this embodiment is an optional implementation of the present application, and optionally, in step S100, the obtaining information physical twin data and network data of the digital plant constitutes a multi-source information physical twin data set, including:
s101, selecting an information physical twin data acquisition model and a network data acquisition model;
s102, sending an information physical twin data acquisition command to the enterprise business department through the information physical twin data acquisition model, and acquiring information physical twin data of each department business in real time;
s103, sending a network data acquisition instruction to the enterprise business department through the network data acquisition model, and acquiring the network data of each department business in real time;
and S104, collecting the information physical twinning data and the network data of the digital factory, and performing information physical twinning data integration processing to obtain a multi-source information physical twinning data set.
The information physical twin data acquisition model and the network data acquisition model can be selected by a user. For example, the network data can be acquired through a fiber bragg grating data acquisition instrument, and the network data can also be requested by adopting a web crawler model; the information physical twin data can be obtained from the terminal address node information by acquiring the network node data of the sensor or the system, and the like.
And sending a data acquisition command through the data acquisition model, and acquiring the information physical twin data and the network data of each department service in real time, wherein the steps S102 and S103 can be selectively carried out.
And after collecting the information physical twinning data and the network data of the digital factory in real time, carrying out information physical twinning data integration processing to obtain a multi-source information physical twinning data set. A metadata management system may be employed to process the data set.
S200, preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data;
as an optional implementation of the present application, optionally, in step S200, the preprocessing the multi-source information physical twin data set, and acquiring and sending the multi-source information physical preprocessed data includes:
s201, respectively carrying out data cleaning and removing weight on the collected information physical twin data and the collected network data of the digital factory to obtain cleaning and removing weight information physical twin data and cleaning and removing weight network data;
s202, performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
and S203, uploading the multi-source information physical preprocessing data to a cloud server and storing the data.
Data cleaning and weight removing processing, wherein a user processes the data or selects a relevant model to process the data; the association fusion can adopt a data fusion model for fusion to obtain multi-source information physical fusion data. And uploading the multi-source information physical preprocessing data to a cloud server and storing the data for a business department to inquire the cloud server data and update the data in real time.
S300, performing real-time data fusion and supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
the method comprises the steps that information physical twinning data and network data of a digital factory are updated in real time, for example, data change is caused by data transition or data increase and deletion, updated information physical twinning data and network data are obtained, real-time data fusion supplement is conducted on multisource information physical preprocessing data, updated data are obtained, and the multisource information physical fusion data after data update are obtained.
As an optional implementation of the present application, optionally, in step S300, performing real-time data fusion and supplementation on the multi-source cyber-physical preprocessing data, and performing fusion and supplementation on the business-updated cyber-physical twin data and the network-cyber-physical twin data into the multi-source cyber-physical preprocessing data to obtain multi-source cyber-physical fusion data includes:
s301, acquiring information physical twin data and network data of the digital factory after service updating;
and the information physical twin data of the digital factory and the service updating data of the network data are monitored and acquired in real time by an information physical twin data acquisition model and a network data acquisition model.
S302, fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
when the data obtained by the information physical twin data acquisition model and the network data acquisition model are updated, the updated data are independently supplemented, and the data enter the multi-source information physical twin data set in the step S200. Here, the multi-source information physical preprocessing data can be fused and supplemented synchronously.
S303, performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
And simultaneously, performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data by adopting an integration model to obtain a multi-source information physical fusion data set.
And S400, exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
Vectorization software such as GML can be adopted for carrying out information physical twin data vectorization on the vectorization model, so that the information physical twin data and network data of the digital factory can be subjected to vectorization display. And providing general functions of data query statistics, information physical twin data analysis, information physical twin data sharing and the like for the vectorization model, then, carrying out data normalization on the model, checking the model, and transmitting the model to the cloud server after checking. And the consulting and sharing of the information physical twin data and the network data are facilitated for each department of the enterprise.
Therefore, the multi-source information physical twin data set is formed by acquiring the information physical twin data and the network data of the digital factory; preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data; performing real-time data fusion supplementation on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data; and exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management. The method comprises the steps of collecting information physical twin data and network information physical twin data of different time domains of a digital factory to form a multi-source heterogeneous information physical twin data set, carrying out effective processing, associated data fusion and cleaning and de-duplication on the multi-source information physical twin data, enabling the multi-source heterogeneous information physical twin data to be clear and consistent, enabling the multi-service department data of each business enterprise to be complete, safe and shared in the management of the multi-service department of the enterprise, providing a solution for information physical twin data integration of enterprise management, and effectively achieving sharing of the information physical twin data of enterprise management.
It should be noted that although the respective data processing models described above are described as examples, those skilled in the art will appreciate that the present disclosure should not be limited thereto. In fact, the user can set the data processing model flexibly according to the actual application scenario, as long as the technical functions of the present application can be realized according to the above technical method.
Example 2
Based on the implementation principle of embodiment 1, this embodiment proposes a multi-source information physical twin data fusion management system device to implement the flow of each embodiment of the control method of embodiment 1.
As shown in fig. 2, another aspect of the present application provides a system for implementing the method for fusion management of physical twin data of multi-source information, including:
a multi-source data acquisition unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring information physical twin data and network data of a digital factory to form a multi-source information physical twin data set;
a data preprocessing unit: the multi-source information physical twin data set is used for preprocessing the multi-source information physical twin data set, and multi-source information physical preprocessing data are obtained and sent;
a fusion supplement unit: the system is used for performing real-time data fusion supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
a visualization management unit: and the system is used for exporting the multi-source information physical fusion data and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
As an optional implementation of the present application, optionally, the multi-source data obtaining unit includes:
a solicited model selection unit: the system comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is used for selecting an information physical twin data acquisition model and a network data acquisition model;
a request instruction sending unit: the information physical twin data acquisition model is used for sending an information physical twin data acquisition command to the enterprise business department and acquiring the information physical twin data of each department business in real time;
a data transmission unit: the network data acquisition module is used for sending a network data acquisition instruction to the enterprise business department through the network data acquisition model and acquiring the network data of each department business in real time;
an integrated unit: and the system is used for collecting the information physical twin data and the network data of the digital factory, performing information physical twin data integration processing and obtaining a multi-source information physical twin data set.
As shown in fig. 3, as an optional embodiment of the present application, optionally, the data preprocessing unit includes:
cleaning and weight removing unit: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring information physical twinning data and network data of a digital factory;
an association fusion unit: the system is used for performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
an uploading unit: and the multi-source information physical preprocessing data are uploaded to a cloud server and stored.
As an optional embodiment of the present application, optionally, the fused supplementary unit comprises:
a data update unit: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring information physical twin data and network data of a digital factory after service updating;
a supplementing unit: the system is used for fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
and (3) supplementing an integrated unit: and the multi-source information physical preprocessing data fusion processing device is used for performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
It should be apparent to those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a computer readable storage medium, and when executed, may include the processes of the embodiments of the control methods as described above. The modules or steps of the invention described above can be implemented by a general purpose computing device, they can be centralized on a single computing device or distributed over a network of multiple computing devices, and they can alternatively be implemented by program code executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be separately fabricated into various integrated circuit modules, or multiple modules or steps thereof can be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, and the program may be stored in a computer readable storage medium, and when executed, may include the processes of the embodiments of the control methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), a flash memory (FlashMemory), a hard disk (hard disk drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Example 3
Still further, according to another aspect of the present disclosure, there is also provided a multi-source information physical twin data fusion management system management apparatus.
In another aspect of the present application, a management device is further provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the multi-source information physical twin data fusion management method when executing the executable instructions.
An embodiment of the present disclosure manages a device including a processor and a memory to store processor-executable instructions. The processor is configured to execute the executable instructions to implement any one of the multi-source information physical twin data fusion management methods.
Here, it should be noted that the number of processors may be one or more. Meanwhile, the traceability system of the embodiment of the disclosure can further include an input device and an output device. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, and are not limited specifically herein.
The memory is used as a computer readable storage medium of the multisource information physical twin data fusion management system, and can be used for storing software programs, computer executable programs and various modules, such as: the utility model discloses a program or module that multisource information physics twin data fusion management system of embodiment corresponds. The processor executes various functional applications and data processing of the traceability system by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings and function control of the device/terminal/server. The output means may comprise a display device such as a display screen.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. A multi-source information physical twin data fusion management method is characterized by comprising the following steps:
s100, acquiring information physical twinning data and network data of a digital factory to form a multi-source information physical twinning data set;
s200, preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data;
s300, performing real-time data fusion and supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
and S400, exporting the multi-source information physical fusion data, and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
2. The method for fusion management of multi-source cyber-physical twin data according to claim 1, wherein in step S100, the acquiring cyber-physical twin data and network data of a digital factory to form a multi-source cyber-physical twin data set includes:
s101, selecting an information physical twin data acquisition model and a network data acquisition model;
s102, sending an information physical twin data acquisition command to the enterprise business department through the information physical twin data acquisition model, and acquiring information physical twin data of each department business in real time;
s103, sending a network data acquisition instruction to the enterprise business department through the network data acquisition model, and acquiring the network data of each department business in real time;
and S104, collecting the information physical twinning data and the network data of the digital factory, and performing information physical twinning data integration processing to obtain a multi-source information physical twinning data set.
3. The method for fusion management of multi-source information physical twin data according to claim 1 or 2, wherein in step S200, the preprocessing the multi-source information physical twin data set, and acquiring and sending multi-source information physical preprocessed data includes:
s201, respectively carrying out data cleaning and de-weighting processing on the collected information physical twin data and the collected network data of the digital factory to obtain cleaning and de-weighting information physical twin data and cleaning and de-weighting network data;
s202, performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
and S203, uploading the multi-source information physical preprocessing data to a cloud server and storing the data.
4. The method for fusion management of multi-source cyber-physical-twin data according to claim 3, wherein in step S300, the performing real-time data fusion supplementation on the multi-source cyber-physical preprocessed data, and performing fusion supplementation on the business-updated cyber-physical-twin data and the network cyber-physical-twin data into the multi-source cyber-physical preprocessed data to obtain multi-source cyber-physical fused data includes:
s301, acquiring information physical twin data and network data of the digital factory after service updating;
s302, fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
s303, performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
5. A system for implementing the multi-source information physical twin data fusion management method of any one of claims 1 to 4, comprising:
a multi-source data acquisition unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring information physical twin data and network data of a digital factory to form a multi-source information physical twin data set;
a data preprocessing unit: the multi-source information physical twin data set is used for preprocessing the multi-source information physical twin data set, and multi-source information physical preprocessing data are obtained and sent;
a fusion supplement unit: the system is used for performing real-time data fusion supplement on the multi-source information physical preprocessing data, fusing and supplementing information physical twin data updated by service and network information physical twin data into the multi-source information physical preprocessing data, and obtaining multi-source information physical fusion data;
a visualization management unit: and the system is used for exporting the multi-source information physical fusion data and inputting the multi-source information physical fusion data into a vectorization model to realize multi-source information physical twin data fusion visual management.
6. The system of claim 5, wherein the multi-source data acquisition unit comprises:
a solicited model selection unit: the system comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is used for selecting an information physical twin data acquisition model and a network data acquisition model;
a request instruction sending unit: the information physical twin data acquisition model is used for sending an information physical twin data acquisition command to the enterprise business department and acquiring the information physical twin data of each department business in real time;
a data transmission unit: the network data acquisition module is used for sending a network data acquisition instruction to the enterprise business department through the network data acquisition model and acquiring the network data of each department business in real time;
an integrated unit: and the system is used for collecting the information physical twin data and the network data of the digital factory, performing information physical twin data integration processing and obtaining a multi-source information physical twin data set.
7. The system of claim 5, wherein the data pre-processing unit comprises:
cleaning and weight removing unit: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring information physical twinning data and network data of a digital factory;
an association fusion unit: the system is used for performing correlation fusion on the cleaning and de-weighting information physical twin data and the cleaning and de-weighting network data to obtain multi-source information physical fusion data;
an uploading unit: and the multi-source information physical preprocessing data are uploaded to a cloud server and stored.
8. A system according to claim 7, wherein the fused supplementary unit comprises:
a data update unit: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring information physical twin data and network data of a digital factory after service updating;
a supplementing unit: the system is used for fusing and supplementing the multi-source information physical preprocessing data with the information physical updating data and the network updating data;
and (3) supplementing an integrated unit: and the multi-source information physical preprocessing data fusion processing device is used for performing information physical twin data integration processing on the multi-source information physical preprocessing data fused with the supplementary data to obtain a multi-source information physical fusion data set.
9. A management device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the executable instructions to implement a multi-source information physical twin data fusion management method according to any one of claims 1 to 4.
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