CN114911474A - Data processing method and device based on computing module and storage medium - Google Patents
Data processing method and device based on computing module and storage medium Download PDFInfo
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- CN114911474A CN114911474A CN202210838933.2A CN202210838933A CN114911474A CN 114911474 A CN114911474 A CN 114911474A CN 202210838933 A CN202210838933 A CN 202210838933A CN 114911474 A CN114911474 A CN 114911474A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/36—Software reuse
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
- G06F8/42—Syntactic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/547—Remote procedure calls [RPC]; Web services
Abstract
The application relates to the technical field of data processing, and discloses a data processing method, data processing equipment and a storage medium based on a computing module, wherein the method comprises the following steps: designing each computing module as an independent sub-VI; isolating the main program from each calculation module; and dynamically calling a corresponding calculation module by using a running main program according to the calculation configuration file to process the original data and obtain process data and result data. The method can increase or decrease the calculation modules of the system according to the user requirements, or reconfigure the existing system to meet new testing requirements, and has stronger flexibility; through the calculation configuration file, different calculation modules can be called at any time when the main program runs, namely the VI is loaded into the memory only when the VI is used, and the problem that the larger the data processing program is, the more the data processing program is used, the more difficult the maintenance is avoided.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a data processing method and apparatus based on a computing module, and a storage medium.
Background
Modularization refers to a process of dividing a system into a plurality of modules layer by layer from top to bottom when a complex problem is solved. Each module performs a specific function, and all the modules are assembled together in a certain way to form a whole to perform the functions required by the whole system. The modular programming improves the reuse rate of program codes, each module completes a single function, and the modules are independent from each other, so that the problem of mutual influence does not exist. The method is beneficial to program upgrading and more convenient for staged testing.
In the prior art, the subprogram of the traditional programming language is operated only when the main program sends a call instruction, and automatically returns to the main program after the operation is finished, and the subprogram is called in a static link mode, so that the subprogram is directly placed in a program block diagram of a caller, the use of a memory is increased, the program loading speed is influenced, and the data processing program is difficult to maintain. When the data processing flow or algorithm needs to be adjusted each time by adopting static calling, addition and modification must be carried out in a program block diagram of a main program, so that the uncertainty of the program and the professional technical threshold of test preparation are increased.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a data processing method, device and storage medium based on computing modules, wherein a main program can call different computing modules at any time during running, so as to avoid the problem that the larger the data processing program is, the more difficult the data processing program is, the more difficult the maintenance is. The specific scheme is as follows:
a data processing method based on a computing module comprises the following steps:
designing each computing module as an independent sub-VI;
isolating a main program from each computing module;
and according to the calculation configuration file, dynamically calling the corresponding calculation module by using the running main program to process the original data, and acquiring process data and result data.
Preferably, in the data processing method based on computing modules provided in the embodiment of the present invention, each computing module uses a uniform input/output interface;
the data and information input by each computing module and the output data are packaged into a plurality of clusters; the structure of the cluster is a combination of various types of data and text strings.
Preferably, in the data processing method based on computing modules provided in the embodiment of the present invention, the data and information input by each computing module are encapsulated into unit single step data in, related computing and text information, real-time information and sequence and state data in;
the data output by each computing module is encapsulated into unit single-step data out and sequence and state data out; all elements in the unit single step data out can be modified and transferred; only the global one-dimensional array and the global two-dimensional data of the elements in the sequence and state data out can be modified and transmitted, and the rest elements can be only referred to and accessed.
Preferably, in the data processing method based on the computing module provided by the embodiment of the present invention, the specific algorithm of the computing module is operated by a formula node of LabVIEW for performing mathematical operations on a program diagram.
Preferably, in the data processing method based on a computing module provided in the embodiment of the present invention, the method further includes:
and releasing the computing module after the calling is finished.
Preferably, in the data processing method based on a computing module provided in the embodiment of the present invention, the method further includes:
and respectively upgrading and maintaining the main program and the dynamically called computing module.
Preferably, in the data processing method based on a computing module provided in the embodiment of the present invention, the method further includes:
and when the VI program of the computing module has grammar errors, prompting and automatically compiling the computing module in real time.
Preferably, in the above data processing method based on a computing module provided in the embodiment of the present invention, data in the shift register of the main program flows into the computing module through a general-purpose interface;
and the data in the calculation module flows into a shift register of the main program through the general-purpose interface.
The embodiment of the present invention further provides a data processing device based on a computing module, which includes a processor and a memory, wherein when the processor executes a computer program stored in the memory, the data processing device implements the data processing method based on the computing module provided in the embodiment of the present invention.
The embodiment of the present invention further provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the above data processing method based on the computing module according to the embodiment of the present invention.
It can be seen from the above technical solutions that, the data processing method based on a computing module provided by the present invention includes: designing each computing module as an independent sub-VI; isolating the main program from each calculation module; and according to the calculation configuration file, dynamically calling a corresponding calculation module by using a running main program to process the original data, and acquiring process data and result data.
In the data processing method based on the computing modules, each computing module is designed into an independent sub VI, and due to modularization, openness and flexibility of the VI, the computing modules of the system can be increased or decreased according to user requirements, or the existing system is reconfigured to meet new testing requirements, so that the flexibility is higher; through the calculation configuration file, different calculation modules can be called at any time when the main program runs, namely the VI is loaded into the memory only when the VI is used, and the problem that the larger the data processing program is, the more the data processing program is used, the more difficult the maintenance is avoided.
In addition, the invention also provides corresponding equipment and a computer readable storage medium aiming at the data processing method based on the computing module, so that the method has higher practicability, and the equipment and the computer readable storage medium have corresponding advantages.
Drawings
In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a relationship between a main program, related files, and dynamically invoked computing modules according to an embodiment of the present invention;
fig. 3 is a block diagram of a computing module procedure that is dynamically invoked according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a data processing method based on a computing module, as shown in figure 1, comprising the following steps:
s101, designing each calculation module into an independent sub VI;
it should be noted that, the VI of LabVIEW may be called as a subroutine, and the child VI is a VI for use by other VI. Wherein each sub-VI is an independent LabVIEW program and can be independently operated and debugged from the main program. Due to the modularization, openness and flexibility of the VI, the system modules can be increased or decreased according to the needs of users, or the existing system can be reconfigured to meet new testing requirements, and each specific computing module in the invention is designed into an independent sub-VI.
S102, isolating the main program from each calculation module;
it should be noted that the main program in the present invention is a main program of data processing software, and does not participate in specific calculation, and is only responsible for data flow control, and the specific algorithm is implemented by a dynamically loaded calculation module. The main program and the specific calculation operator VI are isolated, so that the unification of the main program of data processing and the flexible requirements of various tests can be considered.
S103, according to the calculation configuration file, a corresponding calculation module is dynamically called by using a running main program to process the original data, and process data and result data are obtained. FIG. 2 illustrates the relationship between a main program, a related file, and a dynamically invoked computing module.
In the data processing method based on the computing modules provided by the embodiment of the invention, each computing module is designed as an independent sub-VI, and due to the modularization, openness and flexibility of the VI, the computing modules of the system can be increased or decreased according to the requirements of users, or the existing system is reconfigured to meet new testing requirements, so that the flexibility is stronger; through the calculation configuration file, different calculation modules can be called at any time when the main program runs, namely the VI is loaded into the memory only when the VI is used, and the problem that the larger the data processing program is, the more the data processing program is used, the more difficult the maintenance is avoided.
Further, in specific implementation, in the data processing method based on computing modules provided in the embodiment of the present invention, each computing module (i.e. sub VI) uses a uniform input/output interface; the data and information input by each computing module and the output data are packaged into a plurality of clusters; the structure of these clusters may be a combination of various types of data and text strings.
FIG. 3 shows a dynamically invoked compute module program block diagram. In specific implementation, the data and information input by each computing module can be packaged into 4 clusters, namely, unit single step data in, related computing and text information, real-time information and sequence and state data in. The data output by each computing module is packaged into 2 clusters, namely 'unit single step data out' and 'sequence and state data out'.
The input end on the left side of the formula node in fig. 3 only displays part of available contents, a field analysis or measurement and control preparation person can click on a frame of the formula node, select an 'addition input' or an 'addition output' custom variable, and connect newly established custom variables with elements in a 'unit single step data in', 'related calculation and text information', 'real-time information' and 'sequence and state data in' cluster by removing bundled cluster elements according to names, so that access to data information required by calculation can be realized.
The right side of the formula node in fig. 3 has only two outputs of "cell single step data out" and "sequence and status data out". In particular implementation, all elements of the "unit single step data out" can be modified and transferred to the next step as the "unit single step data in" of the next calculation module; while the "global one-dimensional array" and "global two-dimensional array" elements are allowed to be modified and passed to the next step only in the "sequence and status data out", and other elements are only referenced for access. The "global one-dimensional array" and the "global two-dimensional array" are used to transfer or hold temporary data between the plurality of computing units. At present, the default column numbers of the "global one-dimensional array" and the "global two-dimensional array" are set to 30, and all the test requirements known at present are met.
In specific implementation, in the data processing method based on the computing module provided by the embodiment of the present invention, a specific algorithm of the computing module is operated by a formula node of LabVIEW for performing mathematical operations on a program diagram.
As shown in FIG. 3, the specific algorithm of the calculation module is realized by a formula node at the center of the program block diagram. Formula nodes are text nodes specific to LabVIEW that facilitate performing mathematical operations on the procedural block diagram. The user does not have to use any external code or application and the equations are created without linking any basic mathematical functions. In addition to accepting text equation expressions, formula nodes also accept if statements, while loops, for loops, and do loops that are textual and familiar to C language programmers. The constituent elements of these programs are similar to those in the C language program. Formula nodes are particularly useful for equations containing multiple variables or more complex equations, and for utilizing existing text codes. The existing algorithm text codes can be transplanted into formula nodes in a copying and pasting mode, and the same codes do not need to be recreated in a graphical programming mode. The number of variables or equations contained in a formula node is not limited.
In specific implementation, in the data processing method based on the computing module provided in the embodiment of the present invention, the method may further include: and releasing the calculation module after the calling is finished. Therefore, the data processing program can be ensured not to be used more and more, and the data processing efficiency is improved.
In specific implementation, in the data processing method based on a computing module provided in the embodiment of the present invention, the method may further include: and upgrading and maintaining the main program and the dynamically called computing module respectively. It can be understood that the computing module is a key component of the hierarchical and modular program, and as long as the data structure is not changed, the main program and the dynamically invoked sub VI can be upgraded and maintained separately by different personnel, further improving the maintenance efficiency.
In specific implementation, in the data processing method based on the computing module provided in the embodiment of the present invention, the method may further include: and when the VI program of the computing module has grammar errors, prompting and automatically compiling the computing module in real time. It should be noted that the advantage of using formula nodes in the present invention also includes that LabVIEW automatically compiles VI in real time, if there is syntax error (including algorithm code in "formula node") in a VI program, RUN button on window toolbar will display a broken arrow, real-time prompt program error can not be executed, click break button, LabVIEW will pop up error list window to indicate error location and reason.
In specific implementation, in the data processing method based on the computing module provided in the embodiment of the present invention, data in the shift register of the main program flows into the computing module through the general-purpose interface; the data in the calculation module flows into a shift register of a main program through a general-purpose interface.
In practical applications, the modular design must take into account the communication problem between modules, and there are many ways for the communication between modules. In the invention, a universal interface is adopted to transmit data and state, data in each computing module flows into a shift register of a top-layer main program, and similarly, data in the shift register of the top-layer main program can also flow into each computing module through the universal interface, thereby realizing communication among the modules. Here, the data type of the interface is critical, so to define a complete data structure to meet the practical and possible needs of the general data processing software for various complex experiments, the data structure is in the form of clusters in LabVIEW, that is, the data structure of the present invention is a complex multi-level cluster structure. The clusters may include various data types used in the program, such as: double precision floating point numbers, Boolean quantities, character strings, etc., either scalar or array.
It should be noted that the data structure is measured by four important characteristics, namely, encapsulation, information hiding, independent execution and abstraction. The encapsulation functions to prevent the user from obtaining protected data. The array in the LabVIEW can read the size of the array, but cannot be directly modified; only when adding array elements to the array or resizing it can be modified. The role of information hiding is to prevent the programmer from viewing the internal data of the data structure. The invention can hide the internal data to make the VI block diagram more clear. The role of the independent execution is to allow the programmer to use different internal execution processes while maintaining the same external interface form. The abstraction serves to allow the programmer to focus on the application rather than sinking into a puddle of internal operational details of the data structure. The data structure in the LabVIEW is realized based on an array or a cluster and is combined with a shift register with a circular structure.
Correspondingly, the embodiment of the invention also discloses a data processing device based on the computing module, which comprises a processor and a memory; wherein, the processor implements the data processing method based on the computing module disclosed in the foregoing embodiments when executing the computer program stored in the memory.
For more specific processes of the method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; the computer program, when executed by a processor, implements the computing module based data processing method disclosed above.
For more specific processes of the method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device and the storage medium disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
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 components and steps have been described above generally in terms of their functionality in order to clearly illustrate this 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 implementation. 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. A software module may reside 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.
To sum up, a data processing method based on a computing module provided by the embodiment of the present invention includes: designing each computing module as an independent sub-VI; isolating the main program from each calculation module; and according to the calculation configuration file, dynamically calling a corresponding calculation module by using a running main program to process the original data, and acquiring process data and result data. Each computing module is designed into an independent sub VI, and due to the modularization, openness and flexibility of the VI, the computing modules of the system can be increased or decreased according to the requirements of users, or the existing system is reconfigured to meet new testing requirements, so that the flexibility is stronger; through the calculation configuration file, different calculation modules can be called at any time when the main program runs, namely the VI is loaded into the memory only when the VI is used, and the problem that the larger the data processing program is, the more the data processing program is used, the more difficult the maintenance is avoided. In addition, the invention also provides corresponding equipment and a computer readable storage medium aiming at the data processing method based on the computing module, so that the method has higher practicability, and the equipment and the computer readable storage medium have corresponding advantages.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The data processing method, the data processing device and the storage medium based on the computing module provided by the invention are described in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A data processing method based on a computing module is characterized by comprising the following steps:
designing each computing module as an independent sub-VI;
isolating a main program from each computing module;
and according to the calculation configuration file, dynamically calling the corresponding calculation module by using the running main program to process the original data, and acquiring process data and result data.
2. The computing-module-based data processing method according to claim 1, wherein each computing module employs a unified input-output interface;
the data and information input by each computing module and the output data are packaged into a plurality of clusters; the structure of the cluster is a combination of various types of data and text strings.
3. The computing module based data processing method of claim 2, wherein the data and information inputted by each computing module are encapsulated into unit single step data in, related computing and text information, real-time information and sequence and status data in;
the data output by each computing module is encapsulated into unit single-step data out and sequence and state data out; all elements in the unit single step data out can be modified and transferred; only the global one-dimensional array and the global two-dimensional data of the elements in the sequence and state data out can be modified and transmitted, and the rest elements can be only referred to and accessed.
4. The computing-module-based data processing method of claim 1, wherein the specific algorithm of the computing module is operated by a formula node of LabVIEW for performing mathematical operations on a program diagram.
5. The computing-module-based data processing method of claim 1, further comprising:
and releasing the computing module after the calling is finished.
6. The computing module-based data processing method of claim 1, further comprising:
and respectively upgrading and maintaining the main program and the dynamically called computing module.
7. The computing-module-based data processing method of claim 1, further comprising:
and when the VI program of the computing module has grammar errors, prompting and automatically compiling the computing module in real time.
8. The computing module based data processing method of claim 1, wherein the data in the shift register of the main program flows into the computing module through a general purpose interface;
and the data in the calculation module flows into a shift register of the main program through the general-purpose interface.
9. A data processing device based on a computing module, comprising a processor and a memory, wherein the processor implements the computing module based data processing method according to any of claims 1 to 8 when executing a computer program stored in the memory.
10. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the computing module-based data processing method of any one of claims 1 to 8.
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