CN115826935A - Digital twin model integration system and method based on unified language middleware - Google Patents
Digital twin model integration system and method based on unified language middleware Download PDFInfo
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Abstract
The embodiment of the disclosure relates to the field of informatization systems, and provides a digital twin model integration system and a method based on a unified language middleware. The embodiment of the disclosure describes the digital twin model constructed and formed based on different languages by adopting a uniform language, integrates the digital twin models realized based on multiple languages together by establishing a uniform language middleware, not only solves the problem of data splitting between the outputs of the digital twin models of different languages, but also can utilize the uniformly described digital twin model to carry out more comprehensive intelligent analysis and prediction on the running conditions, efficiency and the like of corresponding key equipment and a production line in the production line.
Description
Technical Field
The disclosure relates to the technical field of informatization systems, in particular to a digital twin model integration system and method based on uniform language middleware.
Background
Under the current technical conditions, the digital twin technology is used for carrying out analog simulation on the production line, and the big data analysis technology is used for carrying out data analysis on the multidimensional data of the production line, so that the method is the development direction of the production line in various industries. However, the existing information system only uses the related sensor data in the production line as real-time monitoring data, fails to design a unified technical framework for a new technology, cannot integrate digital twin models constructed based on different languages, and lacks intelligent early warning operation and maintenance for the whole production line. Meanwhile, the existing production line monitoring system needs to manually study and judge data under the guidance of experience, so that when a large-scale production line is faced, the workload of the system and operators is greatly increased by mass sensor data updated in real time.
Disclosure of Invention
The present disclosure is directed to solving at least one of the problems of the prior art and provides a system and method for integrating a digital twin model based on a unified language middleware.
In one aspect of the present disclosure, a unified language middleware-based digital twin model integration system is provided, the integration system including a unified language digital twin model library, a sensor data receiving module, a twin model calculation module, and a calculation result distribution module, wherein:
the unified language digital twin model library is used for storing a plurality of digital twin models described by adopting a preset language, wherein the plurality of digital twin models are constructed and formed by different languages based on preset key equipment;
the sensor data receiving module is used for acquiring the operation data of the key equipment;
the twin model calculation module is used for receiving a service request sent by a client, acquiring the running data corresponding to the service request from the sensor data receiving module, calling the digital twin model corresponding to the service request from the unified language digital twin model library, and inputting the running data into the digital twin model to obtain a request result corresponding to the service request;
and the calculation result distribution module is used for returning the request result to the client.
Optionally, the preset language includes a C + + language, and the different languages include at least two of a matlab language, a python language, a java language, and a C # language.
Optionally, when the digital twin model is constructed and formed through the matlab language, the plurality of digital twin models described by using a preset language are obtained through the following steps:
respectively encapsulating a plurality of digital twin models constructed and formed through matlab language into m-format files;
compiling the m-format file into a C + + based dynamic link library by using a C + + compiling tool corresponding to the matlab language, so that each digital twin model corresponds to one function in the dynamic link library respectively, and obtaining the plurality of digital twin models described by using the C + + language.
Optionally, when the digital twin model is constructed and formed through the python language, the plurality of digital twin models described by using the preset language are obtained through the following steps:
respectively encapsulating a plurality of digital twin models constructed through a python language into a py format file, so that each digital twin model respectively corresponds to one function in the py format file;
instantiating a py interpreter, loading the py format file, calling the function in the py format file, and converting the function into a C + + data type;
and exporting the function of the C + + data type into a function of a dynamic link library based on C + + to obtain the plurality of digital twin models described by the C + + language.
Optionally, when the digital twin model is constructed and formed through the java language, the plurality of digital twin models described by using a preset language are obtained through the following steps:
creating a java virtual machine;
searching a class corresponding to a digital twin model constructed through java language in the java virtual machine, and creating a corresponding class object;
and encapsulating the class object into a function of a dynamic link library based on C + + to obtain the digital twin model described by the C + + language.
Optionally, when the digital twin model is constructed and formed by the C # language, the plurality of digital twin models described by using the preset language are obtained by:
creating a C # based class library based on a plurality of digital twin models formed through C # language construction;
respectively defining a corresponding class for each digital twin model formed by C # language construction in the C # based class library, and generating a C # based dynamic link library;
calling the C # based dynamic link library by using a cpp file to generate a C + + based dynamic link library, and enabling each function in the C + + based dynamic link library to correspond to one digital twin model respectively to obtain the digital twin model described by the C + + language.
Optionally, the twin model calculation module is configured to invoke the digital twin model corresponding to the service request from the unified language digital twin model library, and input the operation data into the digital twin model to obtain a request result corresponding to the service request, and includes:
the twin model calculation module is configured to call a function in a C + + based dynamic link library corresponding to the service request from the unified language digital twin model library, input the running data into the function, and use an output result of the function as the request result corresponding to the service request.
Optionally, the calculation result distribution module is specifically configured to return the request result to the client by using a hypertext transfer protocol based on the Evpp network communication component.
Optionally, the integrated system further includes a display calculation module;
and the display calculation module is used for visually displaying the request result, calculating and analyzing the request result and displaying a corresponding analysis result.
In another aspect of the present disclosure, there is provided a method of a unified language middleware based digital twin model integration system, the integration system including a unified language digital twin model library and a sensor data receiving module, the method including:
receiving a service request sent by a client;
collecting the operation data of the key equipment corresponding to the service request through the sensor data receiving module;
calling a digital twin model corresponding to the service request from the unified language digital twin model library; the unified language digital twin model library is stored with a plurality of digital twin models described by a preset language in advance, and the plurality of digital twin models are constructed and formed by different languages based on preset key equipment;
inputting the running data into the called digital twin model to obtain a request result corresponding to the service request;
and returning the request result to the client.
Optionally, the preset language includes a C + + language, and the different languages include at least two of a matlab language, a python language, a java language, and a C # language.
Optionally, when the digital twin model is constructed and formed through the matlab language, the plurality of digital twin models described by using a preset language are obtained through the following steps:
respectively encapsulating a plurality of digital twin models constructed and formed through matlab language into m-format files;
compiling the m-format file into a C + + based dynamic link library by using a C + + compiling tool corresponding to the matlab language, so that each digital twin model corresponds to one function in the dynamic link library respectively, and obtaining the plurality of digital twin models described by using the C + + language.
Optionally, when the digital twin model is constructed and formed through the python language, the plurality of digital twin models described by using the preset language are obtained through the following steps:
respectively encapsulating a plurality of digital twin models constructed through a python language into a py format file, so that each digital twin model respectively corresponds to one function in the py format file;
instantiating a py interpreter, loading the py format file, calling the function in the py format file, and converting the function into a C + + data type;
and exporting the function of the C + + data type into a function of a dynamic link library based on C + +, so as to obtain the plurality of digital twin models described by adopting the C + + language.
Optionally, when the digital twin model is constructed and formed through the java language, a plurality of digital twin models described by using a preset language are obtained through the following steps:
creating a java virtual machine;
searching a class corresponding to a digital twin model constructed through java language in the java virtual machine, and creating a corresponding class object;
and encapsulating the class object into a function of a dynamic link library based on C + + to obtain the digital twin model described by the C + + language.
Optionally, when the digital twin model is constructed and formed by the C # language, the plurality of digital twin models described by using the preset language are obtained by:
creating a C # based class library based on a plurality of digital twin models formed through C # language construction;
respectively defining a corresponding class for each digital twin model constructed through the C # language in the C # based class library to generate a C # based dynamic link library;
calling the dynamic link library based on the C # by using the cpp file to generate a dynamic link library based on the C + +, enabling each function in the dynamic link library based on the C + + to correspond to one digital twin model respectively, and obtaining the digital twin model described by the C + + language.
Optionally, the returning the request result to the client specifically includes:
and returning the request result to the client by utilizing a hypertext transfer protocol based on the Evpp network communication component.
Optionally, after the request result is returned to the client, the method further includes:
and carrying out visual display on the request result, carrying out calculation analysis on the request result, and displaying a corresponding analysis result.
Compared with the prior art, the unified language digital twin model library is arranged in the digital twin model integration system based on the unified language middleware, the digital twin models constructed and formed based on different languages are described by adopting the unified language, and the digital twin models realized based on multiple languages are integrated together in a mode of establishing the unified language middleware, so that the problem of data splitting among the output of the digital twin models in different languages is solved, the uniformly described digital twin models can be used for carrying out more comprehensive intelligent analysis and prediction on the running condition, the running efficiency and the like of physical equipment and a production line in the production line, and the workload of a system and operators is reduced.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic structural diagram of a unified language middleware-based digital twin model integration system according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a model composition of a digital twin model library according to another embodiment of the present disclosure;
fig. 3 is a schematic diagram illustrating a connection relationship between a sensor data receiving module and a key device sensor according to another embodiment of the present disclosure;
FIG. 4 is a flowchart of a method for a unified language middleware based digital twin model integration system according to another embodiment of the present disclosure;
fig. 5 is a flowchart of a method of a unified language middleware based digital twin model integration system according to another embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that in various embodiments of the disclosure, numerous technical details are set forth in order to provide a better understanding of the disclosure. However, the technical solution claimed in the present disclosure can be implemented without these technical details and various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and no limitation should be made to specific implementations of the present disclosure, and the embodiments may be mutually incorporated and referred to without contradiction.
As shown in FIG. 1, one embodiment of the present disclosure relates to a digital twin model integration system based on unified language middleware, which comprises a digital twin model library, a server and a client.
The digital twin model library is used for storing digital twin model libraries based on different languages. For example, as shown in fig. 1, the digital twin model library may be used to store at least two of a digital twin model library based on matlab (an advanced matrix/array based programming language), a digital twin model library based on python (a cross-platform computer programming language), a digital twin model library based on java (an object oriented programming language), and a digital twin model library based on C # (an object oriented programming language derived from C language and C + + language issued by microsoft corporation). And the matlab-based digital twin model library is used for storing the digital twin model formed by the matlab language construction. The python-based digital twin model library is used for storing digital twin models formed by python language construction. The java-based digital twin model library is used for storing the digital twin model formed through java language construction. The C # based digital twin model library is used for storing digital twin models formed through C # language construction. Each digital twin model can be constructed and formed on the basis of key equipment in production lines of various industries. For example, each digital twin model can be constructed and formed based on key equipment such as an oil tank, a hydraulic pump, a centrifugal pump, an oil pipeline, a hydraulic valve, an electromagnetic valve, a filtering system and the like in the aviation fuel storage, transportation and filling production line. For example, as shown in fig. 2, the digital twin model may be an intelligent operation and maintenance model, an equipment health assessment model, or the like, which is constructed based on key equipment in the aviation fuel storage and transportation and refueling production line.
The server is used for integrating the digital twin models based on different languages stored in the digital twin model library, calling the integrated digital twin models according to the service request sent by the client, generating a request result corresponding to the service request and returning the request result to the client.
The client is used for sending a service request to the server and receiving and displaying a request result which is returned by the server and corresponds to the service request. It should be noted that the server may be connected to one client, or may be connected to multiple clients, and those skilled in the art may set the server according to actual needs.
As shown in fig. 1, the server may include a unified language digital twin model library, a sensor data receiving module, a twin model calculating module, and a calculation result distributing module.
The unified language digital twin model library is used for storing a plurality of digital twin models described by adopting a preset language. The plurality of digital twin models are constructed and formed through different languages based on preset key equipment. For example, the preset language may be a C + + language, and the different languages may include at least two of a matlab language, a python language, a java language, and a C # language, and the unified language digital twin model library may be configured to store a unified language digital twin model obtained by uniformly describing at least two types of digital twin models of the matlab based digital twin model, the python based digital twin model, the java based digital twin model, and the C # based digital twin model using the C + + language. For example, the unified language digital twin model library may be used for storing a unified language digital twin model obtained by uniformly describing the matlab-based digital twin model and the python-based digital twin model in the C + + language, may be used for storing a unified language digital twin model obtained by uniformly describing the matlab-based digital twin model and the java-based digital twin model in the C + + language, may be used for storing a unified language digital twin model obtained by uniformly describing the matlab-based digital twin model and the C # -based digital twin model in the C + + language, may be used for storing a unified language digital twin model obtained by uniformly describing the python-based digital twin model and the java-based digital twin model in the C + + language, may be used for storing a unified language digital twin model obtained by uniformly describing the python-based digital twin model and the C # -based digital twin model in the C + + language, may be used for storing a unified language digital twin model obtained by uniformly describing the C + + -based digital twin model and the C # -based digital twin model, and may be used for storing a unified language digital twin model obtained by uniformly describing the C + + model or the C # -based digital twin model obtained by uniformly describing the C + + language digital twin model and the C #, and the C # digital twin model obtained by uniformly describing the C The unified language digital twin model obtained after unified description of the Java-based digital twin model and the C # -based digital twin model can also be used for storing the unified language digital twin model obtained after unified description of the matlab-based digital twin model, the python-based digital twin model, the java-based digital twin model and the C # -based digital twin model by adopting a C + + language.
It should be noted that the preset key equipment can be indispensable physical equipment in production lines of various industries. For example, for an oil storage, transportation and filling production line, the preset key equipment can be an oil tank, a hydraulic pump, a centrifugal pump, an oil pipeline, a hydraulic valve, an electromagnetic valve, a filtering system and the like. Of course, the specific type of the preset key device is not limited in this embodiment, and those skilled in the art can select the setting according to actual needs.
The sensor data receiving module is used for collecting the operation data of the key equipment. For example, the sensor data receiving module may collect the operation data of the key device through a sensor disposed on the key device by using a data collecting server. For example, referring to fig. 3, each key device in the production line may be provided with a key device sensor 1, 2, 3, 8230, n, the key device sensor 1, 2, 3, 8230, n, respectively, and collect operation data of the corresponding key device, and transmit the operation data to the data collection server, so that the data collection server provides the operation data of each key device to the sensor data receiving module.
The twin model calculation module is used for receiving a service request sent by a client, acquiring running data corresponding to the service request from the sensor data receiving module, calling a digital twin model corresponding to the service request from the unified language digital twin model library, and inputting the running data into the digital twin model to obtain a request result corresponding to the service request. The service request may be a query request for a key device and its corresponding digital twin model. For example, the service request may be queried for a certain oil tank and a corresponding equipment health assessment model in the aviation oil storage, transportation, and filling production line to obtain an operation health state of the oil tank. The service request may carry identification information of the key device it is directed to, and the specific type of digital twin model it corresponds to. For example, if a user wants to know the operation health state of a certain oil tank in a shipping oil storage and transportation and filling production line through a service request, the service request may carry identification information of the oil tank, such as an equipment number, and a specific type of a digital twin model corresponding to the service request, that is, an equipment health assessment model. The twin model calculation module receives the service request sent by the client, acquires the running data collected by each sensor from the sensor data receiving module, analyzes the current running data corresponding to the identification information of the oil tank carried by the service request, calls a digital twin model, namely an equipment health assessment model, corresponding to the specific type of the digital twin model carried by the service request from the unified language digital twin model library, inputs the analyzed current running data of the oil tank into the called equipment health assessment model, and outputs the equipment running health state corresponding to the current running data after the equipment health assessment model runs, wherein the equipment running health state is the request result corresponding to the service request.
It should be noted that the service request may be a hypertext Transfer Protocol (HTTP) network request, so as to implement transmission of the service request more simply, quickly, and flexibly.
It should be further noted that the twin model calculation module may obtain the operation data collected by each sensor from the sensor data receiving module through the Modbus TCP/IP protocol. Among them, the ModBus protocol is a serial communication protocol, published by Modicon corporation (now schneider electric company) in 1979 for communication using a programmable logic controller. Modbus has become an industry standard for industrial field communication protocols and a common connection between industrial electronic devices. The TCP/IP Protocol is a transmission control Protocol/Internet Protocol, which is called transmission control Protocol/Internet Protocol in english, and refers to a Protocol cluster capable of implementing information transmission among a plurality of different networks. The Modbus TCP/IP protocol embeds Modbus frames in TCP frames in a very simple manner, allowing Modbus to be combined with ethernet and TCP/IP.
And the calculation result distribution module is used for returning the request result to the client. For example, if the service request carries identification information of a key device oil tank, such as a device number, and a specific type of a digital twin model corresponding to the service request, that is, a device health assessment model, the calculation result distribution module may return a request result, that is, a device operation health state, corresponding to the service request, obtained by the twin model calculation module to the client.
Compared with the prior art, the digital twin model library of the unified language is arranged in the digital twin model integration system based on the unified language middleware, the digital twin models constructed and formed based on different languages are described by adopting the unified language, and the digital twin models realized based on multiple languages are integrated together by establishing the unified language middleware, so that the problem of data splitting between the outputs of the digital twin models of different languages in an industrial production line such as a aviation oil storage, transportation and injection production line is solved, the uniformly described digital twin models can be used for carrying out more comprehensive intelligent analysis and prediction on physical equipment, production line running conditions, efficiency and the like in the industrial production line such as the aviation oil storage, transportation and injection production line, and the work load of the system and operators is reduced.
Illustratively, when the digital twin model is constructed and formed by matlab language, a plurality of digital twin models described by a preset language, namely C + + language, are obtained by the following steps:
and respectively packaging a plurality of digital twin models constructed and formed by the matlab language into m-format files. Compiling the m-format file into a dynamic link Library (dll) based on C + + by using a C + + compiling tool corresponding to the matlab language, such as a Library company C + + tool, so that each digital twin model corresponds to a function in the dynamic link Library respectively, and obtaining a plurality of digital twin models described by using the C + + language. Meanwhile, when the matlab is operated and deployed, the operating environment of the matlab needs to be deployed correspondingly.
Illustratively, when the digital twin model is constructed and formed through a python language, a plurality of digital twin models described by a preset language, namely C + + language are obtained through the following steps:
and respectively encapsulating a plurality of digital twin models constructed by the python language into the py format file, so that each digital twin model respectively corresponds to one function in the py format file. Instantiating a py interpreter, loading the py format file, calling a function in the py format file, and converting the function to a C + + data type. And (4) exporting the function of the C + + data type into a function of a dynamic link library based on C + + to obtain a plurality of digital twin models described by adopting a C + + language.
Specifically, because the python language is implemented based on the C language, and a python.h file is provided inside the python language, a python native library is utilized to directly instantiate a pyy interpreter in an Integrated Development Environment (IDE) of Microsoft Visual Studio (VS, a development kit series product of Microsoft corporation in usa, which is a substantially complete development tool set and includes most of the tools required in the whole software lifecycle), call a python native interface, load a pyformat file, call a function in the pyformat file, and convert the called function into a C + + data type.
It should be noted that, when the digital twin model based on the python language is described in the C + + language through the above steps, the py format file encapsulated with the digital twin model, the python three-way library package dependent on the py format file, and the operating environment dependent file of the python itself need to be copied to the peer directory of the application program.
Illustratively, when the digital twin model is constructed by java language, a plurality of digital twin models described by a preset language are obtained by the following steps:
creating a java virtual machine; searching a class corresponding to a digital twin model constructed through java language in a java virtual machine, and creating a corresponding class object; and (4) encapsulating the class object into a function of a dynamic link library based on C + + to obtain a digital twin model described by the C + + language.
Specifically, the class object refers to a class object in java, and when the class object is encapsulated into a function of a C + + based dynamic link library, a related static method and a related member method may be called in a java environment to obtain and modify a member attribute of the class object, thereby implementing encapsulation of the class object in the java in the C + + based dynamic link library.
Illustratively, when the digital twin model is formed by C # language construction, a plurality of digital twin models described by a preset language are obtained by the following steps:
creating a C # based class library based on a plurality of digital twin models formed through C # language construction; respectively defining a corresponding class for each digital twin model constructed through the C # language in a C # based class library, and generating a C # based dynamic link library; calling the C # -based dynamic link library by using the cpp file to generate a C + + based dynamic link library, and enabling each function in the C + + based dynamic link library to correspond to a digital twin model respectively to obtain the digital twin model described by the C + + language.
Specifically, when describing a plurality of digital twin models formed through C # language construction by using C + + language, a required version of a NET Framework, that is, a NET frame, may be first selected, a C # based class library is created in the NET Framework, a class corresponding to each digital twin model formed through C # language construction is respectively defined in the class library, and based on a C # based dynamic link library corresponding to the class library and a corresponding pdb file, each function in the C # based dynamic link library corresponds to one digital twin model formed through C # language construction. Then, taking a console application as an example, when a C + + program is used to call a C # based dynamic link library, a C # based dynamic link library to be called may be first introduced into a cpp file that needs to call the C # based dynamic link library, then a code namespace corresponding to a digital twin model constructed based on a C # language is introduced into the cpp file, and the cpp file is called by a C + + function, so that the C + + based dynamic link library may be generated, and each function in the C + + based dynamic link library corresponds to a digital twin model respectively. It should be noted that, when the cpp file is used to call the C # based dynamic link library to generate the C + + based dynamic link library, the common language runtime support function needs to be enabled, and the compliance mode is set to be no.
By uniformly describing the matlab-based digital twin model, the python-based digital twin model, the java-based digital twin model and the C # -based digital twin model by adopting the C + + language, the system integration of the multilingual digital twin model can be further realized by establishing a uniform language middleware, and the problem of barrier between output data of the 4 types of digital twin models in an industrial production line such as a aviation fuel storage and transportation filling production line is solved.
Exemplarily, the twin model calculating module is configured to call a digital twin model corresponding to the service request from the unified language digital twin model library, and input the operation data into the digital twin model to obtain a request result corresponding to the service request, and the method includes: and the twin model calculation module is used for calling a function in the C + + based dynamic link library corresponding to the service request from the unified language digital twin model library, inputting the running data into the function, and taking the output result of the function as a request result corresponding to the service request.
Specifically, after the digital twin model based on matlab and the digital twin model based on python are respectively uniformly described by using the C + + language, the obtained multiple digital twin models described by using the C + + language are all contained in the dynamic link library stored in the unified language digital twin model library in a function form, so that the twin model calculation module can call a function in the dynamic link library corresponding to the digital twin model for which the service request is directed from the unified language digital twin model library, input the operation data corresponding to the service request into the called function, and take the operation output result of the function as a request result corresponding to the service request, thereby realizing intelligent analysis and prediction of the production line of each industry based on the uniformly described digital twin model.
Illustratively, the calculation result distribution module is specifically configured to return the request result to the client by using a hypertext transfer protocol based on the Evpp network communication component.
In particular, the Evpp network communication component refers to a modern C + +11 high-performance network server developed based on libevent (a lightweight open source high-performance event notification library written in C language). In the embodiment, the calculation result distribution module is used for the communication component based on the Evpp network, and the HTTP network is used for returning the request result to the client, so that the performance and the transmission efficiency of the calculation result distribution module can be further improved.
The system for integrating the digital twin model based on the unified language middleware also comprises a display calculation module. As shown in fig. 1, the display calculation module may be provided at the client. Of course, the display calculation module may also be disposed in the server, and those skilled in the art may set the display calculation module according to actual needs.
And the display calculation module is used for visually displaying the request result, calculating and analyzing the request result and displaying a corresponding analysis result. For example, the display calculation module may display the request result in a visualization manner such as a text, a chart, and the like. The display calculation module can also perform calculation analysis on the request result and display a corresponding analysis result so as to remind a user to take measures such as corresponding maintenance and the like. For example, when the request result indicates that the operating state of the key equipment oil tank is in an abnormal state, the display calculation module may determine whether the abnormal state degree of the oil tank affects the normal operation of the aviation fuel storage, transportation and filling production line, and if it is determined that the normal operation of the aviation fuel storage, transportation and filling production line is affected, may prompt the user to maintain the oil tank, so as to recover the operating state of the oil tank to a healthy state.
According to the embodiment, the display calculation module is arranged in the digital twin model integration system based on the uniform language middleware, the request result can be visually displayed through the display calculation module, the use by a user is further facilitated, the request result can be calculated and analyzed, the corresponding analysis result is displayed, the operation condition of key equipment in an industrial production line such as a aviation fuel storage and transportation filling production line is intelligently analyzed and predicted, and the analysis prediction workload of the system and operators is reduced.
As shown in fig. 4, another embodiment of the present disclosure relates to a method S100 of a unified language middleware based digital twin model integration system. The method S100 is a method for using a unified language middleware-based digital twin model integration system.
The digital twin model integration system based on the unified language middleware comprises a unified language digital twin model library and a sensor data receiving module. The unified language digital twin model library is used for storing a plurality of digital twin models described by adopting a preset language. The plurality of digital twin models are constructed by different languages based on preset key equipment. For example, the preset language may be a C + + language, and the different languages may include at least two of a matlab language, a python language, a java language, and a C # language, and the unified language digital twin model may be used to store the unified language digital twin model obtained by uniformly describing at least two types of digital twin models of the matlab based digital twin model, the python based digital twin model, the java based digital twin model, and the C # based digital twin model using the C + + language. The sensor data receiving module is used for collecting the operation data of the key equipment. For example, the sensor data receiving module may collect the operation data of the key device through a sensor disposed on the key device by using a data collecting server. For example, referring to fig. 3, each key device in the production line may be provided with a key device sensor 1, 2, 3, \8230, a key device sensor 8230, a key device sensor 1, 2, 3, \8230, a key device sensor n respectively collects operation data of the corresponding key device and transmits the operation data to the data collection server, so that the data collection server provides the operation data of each key device to the sensor data receiving module.
It should be noted that, the unified language middleware based digital twin model integration system may be as shown in fig. 1, and the specific structure thereof may be referred to the foregoing embodiments of the present disclosure, which are not described herein again.
As shown in fig. 4, the method S100 of the unified language middleware based digital twin model integration system includes:
step S110, receiving a service request sent by the client.
Specifically, the service request may be a query request for a certain key device and its corresponding digital twin model. For example, the service request may be queried for a certain oil tank in the aviation oil production line and a corresponding equipment health assessment model thereof to obtain an operation health state of the oil tank. The service request may carry identification information of the key device it is directed to, as well as the specific type of digital twin model it corresponds to. The service request may be an HTTP network request, so that the transmission of the service request is implemented more simply, quickly and flexibly.
And step S120, acquiring the operation data of the key equipment corresponding to the service request through the sensor data receiving module.
Specifically, in this step, firstly, the operating data of the key device collected by each sensor may be obtained from the sensor data receiving module through the Modbus TCP/IP protocol, and then, the current operating data corresponding to the identification information of the key device, such as an oil tank, carried in the service request may be analyzed from the operating data, and the current operating data may be used as the operating data corresponding to the service request.
Step S130, calling a digital twin model corresponding to the service request from the unified language digital twin model library; the unified language digital twin model library is stored with a plurality of digital twin models described by a preset language in advance, and the plurality of digital twin models are constructed and formed by different languages based on preset key equipment.
For example, if the service request carries identification information of a certain oil tank in the aviation oil storage, transportation, and filling production line, such as an equipment number, and a specific type of a digital twin model corresponding to the identification information, such as an equipment health assessment model, the step may call the equipment health assessment model from the unified language digital twin model library, where the equipment health assessment model is the digital twin model corresponding to the service request.
And step S140, inputting the running data into the called digital twin model to obtain a request result corresponding to the service request.
For example, if the operation data in the aviation oil storage, transportation, and injection production line is the operation data of a certain oil tank, and the called digital twin model is the equipment health assessment model, the operation data of the oil tank can be input into the equipment health assessment model in this step, and the operation output result of the equipment health assessment model is used as a request result corresponding to the service request carrying the identification information of the oil tank and the specific type of the corresponding digital twin model as the equipment health assessment model.
And step S150, returning the request result to the client.
For example, if the service request carries identification information of a certain oil tank in the aviation fuel storage and transportation filling production line, such as a device number, and a specific type of a digital twin model corresponding to the service request, that is, a device health assessment model, the step may return a request result corresponding to the service request, that is, a device operation health state, to the aviation fuel storage and transportation filling production line system client.
Compared with the prior art, the embodiment has the advantages that a unified language digital twin model library is arranged in a digital twin model integration system based on a unified language middleware, digital twin models constructed and formed based on different languages are described by adopting the unified language, and the digital twin models realized based on multiple languages are integrated together in a mode of establishing the unified language middleware, so that the problem of data splitting between outputs of the digital twin models in different languages in an industry production line such as a aviation oil storage, transportation and injection production line is solved, key equipment, production line operation conditions, production line operation efficiency and the like in the industry production line such as the aviation oil storage, transportation and injection production line can be subjected to more comprehensive intelligent analysis and prediction by utilizing the uniformly described digital twin models, and the work load of the system and operators is reduced.
Illustratively, the predetermined language includes a C + + language, and the different languages include at least two of a matlab language, a python language, a java language, and a C # language.
Illustratively, when the digital twin model is constructed and formed by matlab language, a plurality of digital twin models described by a preset language, namely C + + language, are obtained by the following steps:
and respectively packaging a plurality of digital twin models constructed and formed by the matlab language into m-format files. Compiling the m-format file into a C + + based dynamic link library by using a C + + compiling tool corresponding to the matlab language, so that each digital twin model corresponds to one function in the dynamic link library respectively, and obtaining a plurality of digital twin models described by the C + + language. Meanwhile, when the matlab is operated and deployed, the operating environment of the matlab needs to be deployed correspondingly.
Illustratively, when the digital twin model is constructed and formed through a python language, a plurality of digital twin models described by a preset language, namely C + + language are obtained through the following steps:
and respectively encapsulating a plurality of digital twin models constructed by the python language into the py format file, so that each digital twin model respectively corresponds to one function in the py format file. Instantiating a py interpreter, loading the py format file, calling a function in the py format file, and converting the function into a C + + data type. And exporting the function of the C + + data type into a function of a dynamic link library based on C + + to obtain a plurality of digital twin models described by the C + + language.
Specifically, because the python language is implemented based on the C language, and a python.h file is provided inside the python language, a python native library is utilized to directly instantiate a pyy interpreter in an Integrated Development Environment (IDE) of Microsoft Visual Studio (VS, a development kit series product of Microsoft corporation in usa, which is a substantially complete development tool set and includes most of the tools required in the whole software lifecycle), call a python native interface, load a pyformat file, call a function in the pyformat file, and convert the called function into a C + + data type.
It should be noted that, when the digital twin model based on the python language is described in the C + + language through the above steps, the py format file and the dependent python three-way library package in which the digital twin model is packaged and the operating environment dependent file of python themselves are all copied to the peer directory of the application program.
Illustratively, when the digital twin model is constructed by java language, a plurality of digital twin models described by a preset language are obtained by the following steps:
creating a java virtual machine; searching a class corresponding to a digital twin model formed through java language construction in a java virtual machine, and creating a corresponding class object; and (4) encapsulating the class object into a function of a dynamic link library based on C + + to obtain a digital twin model described by the C + + language.
Specifically, the class object refers to a class object in java, and when the class object is encapsulated into a function of a C + + based dynamic link library, a related static method and a related member method may be called in a java environment to obtain and modify a member attribute of the class object, thereby implementing encapsulation of the class object in the java in the C + + based dynamic link library.
Illustratively, when the digital twin model is formed by C # language construction, a plurality of digital twin models described by a preset language are obtained by the following steps:
creating a C # based class library based on a plurality of digital twin models formed through C # language construction; respectively defining a corresponding class for each digital twin model constructed through the C # language in a C # based class library, and generating a C # based dynamic link library; calling the C # -based dynamic link library by using the cpp file to generate a C + + based dynamic link library, and enabling each function in the C + + based dynamic link library to correspond to a digital twin model respectively to obtain the digital twin model described by the C + + language.
Specifically, when describing a plurality of digital twin models formed through C # language construction by using C + + language, a required version of a.net Framework, i.e., a.net Framework, may be first selected, a class library based on C # may be created in the.net Framework, a class corresponding to each digital twin model formed through C # language construction may be respectively defined in the class library, and a dynamic link library based on C # and a corresponding pdb file corresponding to the class library may be generated, where each function in the dynamic link library based on C # corresponds to one digital twin model formed through C # language construction. Then, taking a console application as an example, when a C + + program is used to call a C # based dynamic link library, a C # based dynamic link library to be called may be first introduced into a cpp file that needs to call the C # based dynamic link library, then a code namespace corresponding to a digital twin model constructed based on a C # language is introduced into the cpp file, and the cpp file is called by a C + + function, so that the C + + based dynamic link library may be generated, and each function in the C + + based dynamic link library corresponds to a digital twin model respectively. It should be noted that, when the cpp file is used to call the C # based dynamic link library to generate the C + + based dynamic link library, the common language runtime support function needs to be enabled, and the compliance mode is set to be no.
By uniformly describing the matlab-based digital twin model, the python-based digital twin model, the java-based digital twin model and the C # -based digital twin model by adopting the C + + language, the system integration of the multilingual digital twin model can be further realized by establishing a uniform language middleware, and the problem of barrier between output data of the 4 types of digital twin models in an industrial production line such as a aviation fuel storage and transportation filling production line is solved.
Illustratively, after the matlab-based digital twin model and the python-based digital twin model are respectively uniformly described by adopting the C + + language, the obtained multiple digital twin models described by adopting the C + + language are all contained in a C + + -based dynamic link library stored in a unified language digital twin model library in a functional form. Therefore, step S130 may call a function in the C + + based dynamic link library corresponding to the digital twin model for the service request from the unified language digital twin model library, and step S140 inputs the operation data corresponding to the service request into the function called in step S130, and uses the operation output result of the function as the request result corresponding to the service request, thereby implementing intelligent analysis and prediction of the production line of each industry based on the digital twin model described in a unified manner.
Exemplarily, step S150 specifically includes: and returning the request result to the client by utilizing a hypertext transfer protocol based on the Evpp network communication component. The Evpp network communication component refers to a modern C + +11 high-performance network server developed based on libevent (a lightweight open source high-performance event notification library written in C language). The embodiment returns the request result to the client by using the HTTP network based on the Evpp network communication component, thereby further improving the performance and transmission efficiency of the calculation result distribution module.
Illustratively, as shown in fig. 5, after step S150, the method S100 of integrating a digital twin model based on unified language middleware, that is, the method S100 of using the integrated system of a digital twin model based on unified language middleware further includes:
and step S160, visually displaying the request result, calculating and analyzing the request result, and displaying the corresponding analysis result.
For example, the step may display the request result in a visualization manner such as a text, a chart, and the like. The step can also calculate and analyze the request result, and display a corresponding analysis result to remind the user to take corresponding measures such as maintenance. For example, when the request result indicates that the operating state of the oil tank in the aviation oil storage, transportation and filling production line is in an abnormal state, the step may determine whether the abnormal state degree of the oil tank affects the normal operation of the aviation oil storage, transportation and filling production line, and if the abnormal state degree of the oil tank affects the normal operation of the aviation oil storage, transportation and filling production line, the step may prompt a user to maintain the oil tank so as to restore the operating state of the oil tank to a healthy state.
The embodiment can further facilitate the use of the user by visually displaying the request result. Meanwhile, the implementation mode can further carry out intelligent analysis and prediction on the running conditions and the like of key equipment in production lines of various industries by carrying out calculation and analysis on the request results and displaying corresponding analysis results, thereby reducing the analysis and prediction workload of the system and operators.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific embodiments for practicing the present disclosure, and that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure in practice.
Claims (12)
1. A digital twin model integration system based on unified language middleware is characterized by comprising a unified language digital twin model library, a sensor data receiving module, a twin model calculating module and a calculation result distributing module, wherein:
the unified language digital twin model library is used for storing a plurality of digital twin models described by adopting a preset language, wherein the plurality of digital twin models are constructed and formed by different languages based on preset key equipment;
the sensor data receiving module is used for acquiring the operation data of the key equipment;
the twin model calculation module is used for receiving a service request sent by a client, acquiring the running data corresponding to the service request from the sensor data receiving module, calling the digital twin model corresponding to the service request from the unified language digital twin model library, and inputting the running data into the digital twin model to obtain a request result corresponding to the service request;
and the calculation result distribution module is used for returning the request result to the client.
2. The integration system of claim 1, wherein the predetermined language comprises a C + + language, and the different languages comprise at least two of a matlab language, a python language, a java language, and a C # language.
3. The integration system according to claim 2, wherein when the digital twin model is constructed by the matlab language, a plurality of digital twin models described by a preset language are obtained by:
respectively encapsulating a plurality of digital twin models constructed and formed through matlab language into m-format files;
compiling the m-format file into a C + + based dynamic link library by using a C + + compiling tool corresponding to the matlab language, so that each digital twin model corresponds to one function in the dynamic link library respectively, and obtaining the plurality of digital twin models described by using the C + + language.
4. The integrated system of claim 2, wherein when the digital twin model is built in the python language, the plurality of digital twin models described in the predetermined language are obtained by:
respectively encapsulating a plurality of digital twin models constructed through a python language into a py format file, so that each digital twin model respectively corresponds to one function in the py format file;
instantiating a py interpreter, loading the py format file, calling the function in the py format file, and converting the function into a C + + data type;
and exporting the function of the C + + data type into a function of a dynamic link library based on C + + to obtain the plurality of digital twin models described by the C + + language.
5. The integrated system according to claim 2, wherein when the digital twin model is constructed by the java language, a plurality of digital twin models described in a preset language are obtained by:
creating a java virtual machine;
searching a class corresponding to a digital twin model constructed through java language in the java virtual machine, and creating a corresponding class object;
and encapsulating the class object into a function of a dynamic link library based on C + + to obtain the digital twin model described by the C + + language.
6. The integrated system according to claim 2, wherein when the digital twin model is formed by the C # language building, a plurality of digital twin models described in a preset language are obtained by:
creating a C # based class library based on a plurality of digital twin models formed through C # language construction;
respectively defining a corresponding class for each digital twin model formed by C # language construction in the C # based class library, and generating a C # based dynamic link library;
calling the C # based dynamic link library by using a cpp file to generate a C + + based dynamic link library, and enabling each function in the C + + based dynamic link library to correspond to one digital twin model respectively to obtain the digital twin model described by the C + + language.
7. The integration system of any one of claims 3 to 6, wherein the twin model calculation module is configured to invoke the digital twin model corresponding to the service request from the unified language digital twin model library, and input the operation data into the digital twin model to obtain a request result corresponding to the service request, and includes:
the twin model calculation module is configured to call a function in a C + + based dynamic link library corresponding to the service request from the unified language digital twin model library, input the running data into the function, and use an output result of the function as the request result corresponding to the service request.
8. The integrated system according to any one of claims 1 to 6,
and the calculation result distribution module is specifically used for returning the request result to the client by using a hypertext transfer protocol based on the Evpp network communication component.
9. The integrated system of any of claims 1 to 6, further comprising a display computing module;
and the display calculation module is used for visually displaying the request result, calculating and analyzing the request result and displaying a corresponding analysis result.
10. A method for a unified language middleware based digital twin model integration system, the integration system comprising a unified language digital twin model library and a sensor data receiving module, the method comprising:
receiving a service request sent by a client;
acquiring the operation data of key equipment corresponding to the service request through the sensor data receiving module;
calling a digital twin model corresponding to the service request from the unified language digital twin model library; the unified language digital twin model library is stored with a plurality of digital twin models described by a preset language in advance, and the plurality of digital twin models are constructed and formed by different languages based on preset key equipment;
inputting the running data into the called digital twin model to obtain a request result corresponding to the service request;
and returning the request result to the client.
11. The method according to claim 10, wherein the returning the request result to the client specifically includes:
and returning the request result to the client by utilizing a hypertext transfer protocol based on the Evpp network communication component.
12. The method according to claim 10 or 11, wherein after returning the request result to the client, the method further comprises:
and carrying out visual display on the request result, carrying out calculation analysis on the request result, and displaying a corresponding analysis result.
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