CN116028563A - OPC UA-based data asset management method, device, equipment and storage medium - Google Patents
OPC UA-based data asset management method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN116028563A CN116028563A CN202310017908.2A CN202310017908A CN116028563A CN 116028563 A CN116028563 A CN 116028563A CN 202310017908 A CN202310017908 A CN 202310017908A CN 116028563 A CN116028563 A CN 116028563A
- Authority
- CN
- China
- Prior art keywords
- data
- asset
- preset
- opc
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a data asset management method, device, equipment and storage medium based on OPC UA, which relate to the field of industrial control and comprise the following steps: accessing a pre-configured data source and acquiring asset data in the data source; the asset data includes static asset data in the business system and dynamic production data in the distributed control system; performing integrated modeling on asset data based on a preset model design rule, and storing the model data into a preset OPC UA unified architecture model to obtain a corresponding data asset system; when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met, if so, acquiring corresponding target data to be distributed and calling a third party data distribution interface to perform data distribution operation. The data asset system is obtained by using the preset OPC UA unified architecture model to perform unified management on static asset data and dynamic production data, so that the data communication cost is reduced and the communication efficiency is improved.
Description
Technical Field
The present invention relates to the field of industrial control, and in particular, to a method, an apparatus, a device, and a storage medium for managing data assets based on OPC UA.
Background
In the field of industrial control, the communication protocols are diversified, the communication protocols of the devices of different manufacturers are different, the communication protocols of the devices of different models of the same manufacturer are also different, and the field devices (such as an ammeter, a water meter, a heat meter, a water pump, a frequency converter and various controllers) are different in protocols as long as the communication is involved. With the advent of the internet of things era, devices need to access to an internet of things platform, and such multiple protocol types are inconvenient, so that a unified communication protocol is needed.
The data asset management platform commonly used by manufacturing enterprises at present is usually used for establishing a data asset model based on a traditional database for management and maintenance. For dynamically generating data of the field device, dynamic data acquisition and interaction are required to be realized through an OPC UA (Open Platform Communications Unified Architecture, open platform communication unified architecture) information model, rather than directly carrying out data interaction through a data asset model. There is no direct association between the data asset model and the OPC UA model, because the data asset model and the OPC UA model are not unified, when the static asset data and the on-site dynamic production data need to be analyzed in the process of data management, because there is no unified standard, a large amount of format conversion work needs to be performed, so that the data analysis work difficulty is high, the accuracy of the analysis result is low, and the communication cost is high and the efficiency is low when data communication is performed.
Disclosure of Invention
Accordingly, the present invention is directed to a method, apparatus, device and storage medium for managing data assets based on OPC UA, which can uniformly manage static asset data and dynamic production data, thereby reducing data communication cost and improving communication efficiency. The specific scheme is as follows:
in a first aspect, the present application provides a method for data asset management based on OPC UA, including:
accessing a pre-configured data source and acquiring asset data in the data source currently; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system;
performing integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system;
when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request;
and determining a third-party data distribution interface corresponding to the third-party system, and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request.
Optionally, the data asset management method based on OPC UA further includes:
classifying the preconfigured data sources based on the data purpose to obtain purpose information of each preconfigured data source;
collecting the data source information of each pre-configured data source and triggering corresponding data source management operation; the data source information includes a data source name, type information, the use information, address information, and status information.
Optionally, the integrally modeling the asset data based on the preset model design rule includes:
and integrating and modeling the asset data by using a preset modeling tool service interface so as to store the asset data into a preset OPC UA unified architecture model by adopting a standard OPC UA model structure.
Optionally, the performing integrated modeling on the asset data by using a preset modeling tool service interface includes:
integrating and modeling the manually filled asset data by using a preset modeling tool service interface;
or, automatically integrating and modeling by using a preset modeling tool service interface according to the structural data in the asset data;
or, automatically integrating and modeling by using a preset modeling tool service interface according to the structural data in the asset data, and storing the structural data to a corresponding target data source.
Optionally, after the integrating modeling of the asset data by using the preset modeling tool service interface, the method further includes:
and copying model information of the established model by using the preset modeling tool service interface to create a new model.
Optionally, before the acquiring, based on the data distribution request, the target data to be distributed from the preset OPC UA unified architecture model, if so, the method further includes:
and configuring a third-party data distribution interface corresponding to the third-party system on the corresponding WEB page so as to complete corresponding data distribution operation by calling the corresponding third-party data distribution interface when preset data distribution conditions are met.
Optionally, in the process of calling the third party data distribution interface to perform a corresponding data distribution operation on the target data to be distributed to respond to the data distribution request, the method further includes:
and carrying out corresponding log record operation aiming at the calling condition of the third-party data distribution interface, and triggering a preset failure response flow when interface calling failure information exists in the recorded log.
In a second aspect, the present application provides an OPC UA-based data asset management device comprising:
the asset data acquisition module is used for accessing a pre-configured data source and acquiring asset data in the data source at present; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system;
the modeling storage module is used for carrying out integrated modeling on the asset data based on a preset model design rule and storing model data of a new model into a preset OPC UA unified architecture model so as to obtain a corresponding data asset system;
the target data acquisition module is used for judging whether a preset data distribution condition is met currently when the data asset system receives a data distribution request sent by a third party system, and acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request if the preset data distribution condition is met currently;
and the data distribution module is used for determining a third-party data distribution interface corresponding to the third-party system and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request.
In a third aspect, the present application provides an electronic device, including:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the OPC UA-based data asset management method described above.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the aforementioned OPC UA-based data asset management method.
In the application, accessing a pre-configured data source and acquiring asset data in the data source; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system; performing integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system; when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request; and determining a third-party data distribution interface corresponding to the third-party system, and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request. The data asset system is obtained by utilizing a preset OPC UA unified architecture model to perform unified management on static asset data and dynamic production data, and corresponding data distribution operation is performed when a data distribution request of a third party system is received. Therefore, the problem of high working difficulty caused by different formats of the stored static asset data and the dynamic production data in the data analysis in the prior art can be solved, the accuracy of data analysis is improved, a large number of maintenance works of the production system are avoided, and further the data communication cost is reduced and the communication efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for managing data assets based on OPC UA provided in the present application;
FIG. 2 is a schematic diagram of an overall management scheme for data asset management based on OPC UA in accordance with one embodiment of the present application;
FIG. 3 is a schematic diagram of a model management interface provided in the present application;
fig. 4 is a schematic structural diagram of an OPC UA model provided in the present application;
FIG. 5 is a schematic diagram of a data source management interface provided herein;
FIG. 6 is a schematic diagram of a front-to-back end separation architecture provided herein;
FIG. 7 is a flow chart of data distribution provided herein;
FIG. 8 is a schematic diagram of a data asset management device based on OPC UA provided in the present application;
fig. 9 is a block diagram of an electronic device provided in the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the current industrial control field, there is no direct correlation between the data asset model and the OPC UA model, because the data asset model and the OPC UA model are not unified, when static asset data and on-site dynamic production data need to be analyzed in the process of data management, a large amount of format conversion work needs to be performed because of no unified standard, so that the data analysis work is difficult, the accuracy of an analysis result is low, and the communication cost is high and the efficiency is low when data communication is performed. Therefore, the application provides a data asset management scheme based on OPC UA, which can uniformly manage static asset data and dynamic production data, thereby reducing data communication cost and improving communication efficiency.
Referring to fig. 1, the embodiment of the invention discloses a data asset management method based on OPC UA, which comprises the following steps:
s11, accessing a pre-configured data source and acquiring asset data in the data source currently; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system.
Specifically, in this embodiment, as shown in fig. 2, the preconfigured data source includes a distributed control system (DCS, distributed Control System), a service system, a service database, and a PLC (Programmable Logic Controller ), where the service system is an internal system of the current device, and belongs to one of the data sources. And acquiring corresponding static asset data and dynamic production data based on the data source to obtain corresponding asset data. The dynamic production data is time series data, and is data which dynamically changes when the same index is recorded in time sequence. For example: the rotational speed and temperature of the device.
It should be further understood that in this embodiment, access to an OPC UA Server data source and a restul interface data source is also supported. And the OPC UA Server data source is OPC UA service corresponding to other data asset systems. The data can be acquired by connecting the OPC UA service or equipment through the information such as the configured OPC UA connection address, the user name, the password and the like by using the OPC UA protocol. The RESTFUL interface data source refers to a Web service HTTP (Hyper Text Transfer Protocol ) interface. And calling a third party HTTP interface conforming to the RESTFUL standard through the configured HTTP interface information to acquire data.
And step S12, carrying out integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system.
In this embodiment, the integrating modeling of the asset data based on the preset model design rule includes: and integrating and modeling the asset data by using a preset modeling tool service interface so as to store the asset data into a preset OPC UA unified architecture model by adopting a standard OPC UA model structure. Wherein each model comprises a corresponding: coding, name, table name, creation mode, access data source, target data source, version, model state and other model information. Wherein the model state comprises: edit in state, disable state, validate state. The in-edit state representation model is also not available during the design phase. After the model design is finished, the model is validated through a preset validation button, and the model is externally available after validation. The model after the validation can be deactivated, and the model is not available to the outside after the deactivation. For the validated model, data synchronization is supported to synchronously update data from the corresponding access data source to the corresponding target data source. And the OPC UA model is composed of two root nodes of an object and a type, and the default creation of the asset management model type comprises the following steps: attributes, versions, custom attributes, system attributes. When the attribute is newly built, a corresponding variable is newly added under the custom attribute of the corresponding model object. And performing an association binding point operation after the variable is newly added to realize association with the field device parameter.
It should be understood that this embodiment provides four modeling modes, namely, creating, mapping, extracting and copying. Specifically, the specific implementation process of modeling in a newly built manner is to integrate and model the manually filled asset data by using a preset modeling tool service interface. The specific implementation process of modeling by the mapping mode is to utilize a preset modeling tool service interface and automatically integrate and model according to the structural data in the asset data. The specific implementation process of modeling by the extraction mode is to utilize a preset modeling tool service interface to automatically integrate and model according to the structural data in the asset data, and save the structural data to a corresponding target data source. The modeling is implemented in a copying manner by copying model information of the established model by using the preset modeling tool service interface to create a new model.
Further, in combination with the data source management interface schematic diagram shown in fig. 5, in this embodiment, after obtaining the corresponding data asset system, the accessed data source needs to be managed. Firstly classifying the preconfigured data sources based on data purposes to obtain purpose information of each preconfigured data source; then collecting the data source information of each pre-configured data source and triggering corresponding data source management operation; the data source information includes a data source name, type information, the use information, address information, and status information. For example, the data sources may be categorized by purpose, one type being a data warehouse, i.e., a data storage warehouse that itself is used to store collected data. Another type is a service source library, generally referred to as a service database of third party systems for extracting, mapping and retrieving data.
It is further understood that after integrating the asset data, the subscription of the real-time data, the historical data, the alarm data, the custom event and other data is provided by externally supporting the interfaces of three protocols including HTTP, web Socket and OPC UA, so that the universality and the application range of the asset data are enhanced. The process of providing data through the HTTP interface is shown in fig. 6, and an application architecture design with separated front end and back end is adopted, the front end uses the latest HTML5 technology, and the communication with the back end adopts a restul interface and a Web Socket interface. The backend is built using Java technology to get the corresponding OPC UA services. When the front end receives a URL (uniform resource locator, uniform resource location system) request and/or an API (Application Programming Interface, application program interface) request sent by the browser, the back end provides data through an activated OPC UA server and an OPC UA protocol and performs real-time data synchronization based on a corresponding WEB interface through an activated Web Socket server.
In addition, a relational database may be used to store data asset data and simultaneously establish a corresponding physical model and a corresponding OPC UA model, but fusion of the physical model and the OPC UA model needs to be processed to ensure association and synchronization between models.
And step S13, when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request.
In this embodiment, the third party system may connect with the OPC UA client through the OPC UA protocol and obtain corresponding data, including the static asset data (such as configured data source information, the model data) and the dynamic production data (such as current yield, current temperature, humidity, and running status of the device). Wherein if so, before acquiring the target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request, the method further comprises: and configuring a third-party data distribution interface corresponding to the third-party system on the corresponding WEB page so as to complete corresponding data distribution operation by calling the corresponding third-party data distribution interface when preset data distribution conditions are met. The third party system comprises an intelligent algorithm system, an intelligent monitoring system, an intelligent alarm system, an intelligent point inspection system, a manufacturing execution system, a device diagnosis system, an intelligent decision system and an intelligent security ring system as shown in fig. 2.
In this embodiment, as shown in fig. 7, after the model data takes effect, it is determined whether the preset data distribution condition is triggered, and if so, a corresponding third party interface calling operation is performed. It will be appreciated that there is a need to follow a principle in the distribution of data, i.e. the data asset management system that distributes the data should be the only master of the data and the data distributed to the other systems should be read-only, non-authoritative and not guarantee accuracy.
Step S14, determining a third party data distribution interface corresponding to the third party system, and calling the third party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request.
In this embodiment, as shown in fig. 7, in the process of calling the third party data distribution interface to perform a corresponding data distribution operation on the target data to be distributed to respond to the data distribution request, the method further includes: and carrying out corresponding log record operation aiming at the calling condition of the third-party data distribution interface, and triggering a preset failure response flow when interface calling failure information exists in the recorded log. When the failure log is recorded, the preset failure response flow is performed by manually calling or judging whether the preset data distribution condition is triggered again by acquiring a timing task.
In this way, in the embodiment of the present application, a preconfigured data source is accessed and asset data in the data source is acquired; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system; performing integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system; when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request; and determining a third-party data distribution interface corresponding to the third-party system, and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request. The data asset system is obtained by utilizing a preset OPC UA unified architecture model to perform unified management on static asset data and dynamic production data, and corresponding data distribution operation is performed when a data distribution request of a third party system is received. Therefore, the problem of high working difficulty caused by different formats of the stored static asset data and the dynamic production data in the data analysis in the prior art can be solved, the accuracy of data analysis is improved, a large number of maintenance works of the production system are avoided, and further the data communication cost is reduced and the communication efficiency is improved.
Referring to fig. 8, the embodiment of the application correspondingly discloses a data asset management device based on OPC UA, which includes:
an asset data acquisition module 11, configured to access a preconfigured data source and acquire asset data in the data source currently; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system;
the modeling storage module 12 is configured to perform integrated modeling on the asset data based on a preset model design rule, and store model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system;
the target data acquisition module 13 is configured to determine whether a preset data distribution condition is currently satisfied when the data asset system receives a data distribution request sent by a third party system, and if so, acquire target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request;
the data distribution module 14 is configured to determine a third party data distribution interface corresponding to the third party system, and call the third party data distribution interface to perform a corresponding data distribution operation on the target data to be distributed, so as to respond to the data distribution request.
The more specific working process of each module may refer to the corresponding content disclosed in the foregoing embodiment, and will not be described herein.
Therefore, in the application, a preconfigured data source is accessed and the asset data in the data source is acquired; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system; performing integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system; when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request; and determining a third-party data distribution interface corresponding to the third-party system, and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request. The data asset system is obtained by utilizing a preset OPC UA unified architecture model to perform unified management on static asset data and dynamic production data, and corresponding data distribution operation is performed when a data distribution request of a third party system is received. Therefore, the problem of high working difficulty caused by different formats of the stored static asset data and the dynamic production data in the data analysis in the prior art can be solved, the accuracy of data analysis is improved, a large number of maintenance works of the production system are avoided, and further the data communication cost is reduced and the communication efficiency is improved.
In some specific embodiments, the data asset management device based on OPC UA may specifically further include:
the data source classification unit is used for classifying the preconfigured data sources based on the data purposes so as to obtain the purpose information of each preconfigured data source;
the data source management unit is used for collecting the data source information of each pre-configured data source and triggering corresponding data source management operation; the data source information includes a data source name, type information, the use information, address information, and status information.
In some embodiments, the modeling storage module 12 may specifically further include:
and the data storage unit is used for integrally modeling the asset data by utilizing a preset modeling tool service interface so as to store the asset data into a preset OPC UA unified architecture model by adopting a standard OPC UA model structure.
In some specific embodiments, the data asset management device based on OPC UA may specifically include:
the first modeling unit is used for carrying out integrated modeling on the manually filled asset data by utilizing a preset modeling tool service interface;
the second modeling unit is used for or, using a preset modeling tool service interface and carrying out automatic integration modeling according to the structural data in the asset data;
and the third modeling unit is used for automatically integrating and modeling by using a preset modeling tool service interface according to the structural data in the asset data, and storing the structural data to a corresponding target data source.
In some specific embodiments, the data asset management device based on OPC UA may specifically further include:
and a fourth modeling unit for copying model information of the established model by using the preset modeling tool service interface to create a new model.
In some specific embodiments, the data asset management device based on OPC UA may specifically further include:
the interface configuration unit is used for configuring a third party data distribution interface corresponding to the third party system on a corresponding WEB page so as to complete corresponding data distribution operation by calling the corresponding third party data distribution interface when preset data distribution conditions are met.
In some specific embodiments, the data asset management device based on OPC UA may specifically further include:
the log recording unit is used for carrying out corresponding log recording operation aiming at the calling condition of the third-party data distribution interface, and triggering a preset failure response flow when interface calling failure information exists in the recorded log.
Further, the embodiment of the present application further discloses an electronic device, and fig. 9 is a block diagram of the electronic device 20 according to an exemplary embodiment, where the content of the figure is not to be considered as any limitation on the scope of use of the present application.
Fig. 9 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is configured to store a computer program that is loaded and executed by the processor 21 to implement the relevant steps of the OPC UA-based data asset management method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further comprise a computer program capable of performing other specific tasks in addition to the computer program capable of performing the OPC UA-based data asset management method performed by the electronic device 20 as disclosed in any of the previous embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the previously disclosed OPC UA-based data asset management method. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined the detailed description of the preferred embodiment of the present application, and the detailed description of the principles and embodiments of the present application has been provided herein by way of example only to facilitate the understanding of the method and core concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A method of data asset management based on OPC UA comprising:
accessing a pre-configured data source and acquiring asset data in the data source currently; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system;
performing integrated modeling on the asset data based on a preset model design rule, and storing model data of a new model into a preset OPC UA unified architecture model to obtain a corresponding data asset system;
when the data asset system receives a data distribution request sent by a third party system, judging whether a preset data distribution condition is met currently, and if so, acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request;
and determining a third-party data distribution interface corresponding to the third-party system, and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request.
2. The OPC UA-based data asset management method of claim 1 further comprising:
classifying the preconfigured data sources based on the data purpose to obtain purpose information of each preconfigured data source;
collecting the data source information of each pre-configured data source and triggering corresponding data source management operation; the data source information includes a data source name, type information, the use information, address information, and status information.
3. The OPC UA-based data asset management method of claim 1 wherein the integrally modeling the asset data based on preset model design rules comprises:
and integrating and modeling the asset data by using a preset modeling tool service interface so as to store the asset data into a preset OPC UA unified architecture model by adopting a standard OPC UA model structure.
4. The OPC UA-based data asset management method of claim 3 wherein the integrally modeling the asset data using a preset modeling tool service interface comprises:
integrating and modeling the manually filled asset data by using a preset modeling tool service interface;
or, automatically integrating and modeling by using a preset modeling tool service interface according to the structural data in the asset data;
or, automatically integrating and modeling by using a preset modeling tool service interface according to the structural data in the asset data, and storing the structural data to a corresponding target data source.
5. The OPC UA-based data asset management method of claim 4 wherein after the integrally modeling the asset data with a preset modeling tool service interface, further comprising:
and copying model information of the established model by using the preset modeling tool service interface to create a new model.
6. The OPC UA-based data asset management method of claim 1, wherein if so, prior to obtaining target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request, further comprising:
and configuring a third-party data distribution interface corresponding to the third-party system on the corresponding WEB page so as to complete corresponding data distribution operation by calling the corresponding third-party data distribution interface when preset data distribution conditions are met.
7. The OPC UA-based data asset management method of any one of claims 1 to 6, wherein the invoking the third party data distribution interface to perform a corresponding data distribution operation on the target data to be distributed in response to the data distribution request further comprises:
and carrying out corresponding log record operation aiming at the calling condition of the third-party data distribution interface, and triggering a preset failure response flow when interface calling failure information exists in the recorded log.
8. A data asset management device based on OPC UA, comprising:
the asset data acquisition module is used for accessing a pre-configured data source and acquiring asset data in the data source at present; the preconfigured data source comprises a distributed control system and a service system; the asset data includes static asset data in the business system and dynamic production data in the distributed control system;
the modeling storage module is used for carrying out integrated modeling on the asset data based on a preset model design rule and storing model data of a new model into a preset OPC UA unified architecture model so as to obtain a corresponding data asset system;
the target data acquisition module is used for judging whether a preset data distribution condition is met currently when the data asset system receives a data distribution request sent by a third party system, and acquiring target data to be distributed from the preset OPC UA unified architecture model based on the data distribution request if the preset data distribution condition is met currently;
and the data distribution module is used for determining a third-party data distribution interface corresponding to the third-party system and calling the third-party data distribution interface to perform corresponding data distribution operation on the target data to be distributed so as to respond to the data distribution request.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the OPC UA-based data asset management method of any of claims 1 to 7.
10. A computer readable storage medium for storing a computer program which, when executed by a processor, implements the OPC UA-based data asset management method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310017908.2A CN116028563A (en) | 2023-01-06 | 2023-01-06 | OPC UA-based data asset management method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310017908.2A CN116028563A (en) | 2023-01-06 | 2023-01-06 | OPC UA-based data asset management method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116028563A true CN116028563A (en) | 2023-04-28 |
Family
ID=86073672
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310017908.2A Pending CN116028563A (en) | 2023-01-06 | 2023-01-06 | OPC UA-based data asset management method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116028563A (en) |
-
2023
- 2023-01-06 CN CN202310017908.2A patent/CN116028563A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3709227B1 (en) | System and method for interoperable communication of an automation system component with multiple information sources | |
| CN108667807B (en) | Protocol self-adaption method and system based on monitoring cloud platform and gateway | |
| CN112688865B (en) | Design method of OPC UA gateway for graphical online modeling | |
| US9608958B2 (en) | Lightweight directory access protocol (LDAP) join search mechanism | |
| US20040024843A1 (en) | Method for provisioning distributed web applications | |
| US20060026141A1 (en) | Uniform resource discovery with multiple computers | |
| CN111556158B (en) | Access method, access device, access equipment and storage medium of Internet of things platform | |
| JP2006053915A (en) | Dynamic schema for unified plant model | |
| JP6016808B2 (en) | Method and server system for implementing web access | |
| US20060123019A1 (en) | Management of component members using tag attributes | |
| CN113467771B (en) | Model-based industrial edge cloud collaboration system and method | |
| CN115412602A (en) | Data parsing and transferring method, device, equipment and medium for digital twin | |
| CN112363718A (en) | Industrial application integration system based on micro-service architecture | |
| CN115033657A (en) | Inquiry method, device and equipment based on knowledge graph and storage medium | |
| CN114254606A (en) | Microservice framework model | |
| CN111831508A (en) | Dynamic monitoring data acquisition method and device | |
| CN115883407A (en) | Data acquisition method, system, equipment and storage medium | |
| US20220030090A1 (en) | Selective address space aggregation | |
| CN111078213A (en) | Code generation method and code generation device | |
| CN111711695B (en) | Distributed equipment management system based on cloud platform | |
| CN102456070B (en) | Indexing unit and search method | |
| CN116028563A (en) | OPC UA-based data asset management method, device, equipment and storage medium | |
| CN110933952B (en) | Method for semantic search and rules for distributed data systems | |
| CN115408569A (en) | Process traceability tree simplification method, device, equipment and medium | |
| CN109710487A (en) | A kind of monitoring method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |