CN112579668A - Intelligent interpretation method and device based on big data - Google Patents
Intelligent interpretation method and device based on big data Download PDFInfo
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Abstract
The invention discloses an intelligent interpretation method and device based on big data, wherein the method comprises the following steps: acquiring experimental data of an experimental process; carrying out data judgment, diagnosis and analysis on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result. The method can greatly improve the automation degree of the interpretation process, improve the interpretation working efficiency, reduce the manual participation and avoid the human errors.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent interpretation method and device based on big data.
Background
The test full life cycle comprises test design, planning, preparation, execution, analysis and evaluation, and test data is interpreted to be in a position at the rear end in the test full life cycle. However, data interpretation is an essential core part in experimental data engineering, and the engineering value is dense and outstanding.
In the related technology, the data interpretation has the characteristics of multiple parameter types, large data quantity, diversified data decoding protocols, diversified interpretation algorithms, diversified interpretation types, diversified interpretation reports and the like. The data interpretation mode mainly comprises data isolation, manual sorting, manual identification, various analysis tools and manual compiling of interpretation reports. The problems of difficult data correlation searching, high working strength, low working efficiency, wrong judgment, missed judgment, wrong judgment and the like mainly exist in data interpretation, and the problems need to be solved.
Disclosure of Invention
The invention provides an intelligent interpretation method and device based on big data, which can achieve real-time data acquisition, real-time decoding, quick interpretation and one-click report, greatly improve the automation degree of the interpretation process, improve the interpretation working efficiency, reduce manual participation, avoid human errors, reduce personnel contact through remote cooperation, help enterprises to reduce cost and risk and improve benefits, and have outstanding value and pre-development advantage in the aspect of assisting the digital transformation of the enterprises.
An embodiment of a first aspect of the present invention provides an intelligent interpretation method based on big data, including the following steps: acquiring experimental data of an experimental process; carrying out data judgment, diagnosis and analysis on the experimental data based on an interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result.
Further, in one embodiment of the present invention, the interpretation knowledge base comprises one or more of a criterion interpretation rule base, an interpretation algorithm base, an interpretation template base, and an interpretation report template.
Further, in one embodiment of the present invention, the data processing analysis report includes curve contrast information and envelope analysis information, wherein the envelope analysis information includes standard threshold envelope analysis and historical data conventional control charts.
Further, in an embodiment of the present invention, the above intelligent interpretation method based on big data further includes: generating a document report based on a preset template according to the data processing analysis report; and exporting the document report according to a user instruction.
According to the intelligent interpretation method based on the big data, the real-time data acquisition, the real-time decoding, the quick interpretation and the one-click report can be achieved, the automation degree of the interpretation process is greatly improved, the interpretation working efficiency is improved, the manual participation is reduced, the human errors are avoided, the personnel contact is reduced through the remote cooperation, the cost and the risk of an enterprise can be reduced, the benefit is improved, and the intelligent interpretation has outstanding value and pre-development advantage in the aspect of assisting the digital transformation of the enterprise.
An embodiment of a second aspect of the present invention provides an intelligent interpretation device based on big data, including: the acquisition module is used for acquiring experimental data of an experimental process; the analysis module is used for carrying out data judgment diagnosis analysis on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and the first generation module is used for generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result.
Further, in one embodiment of the present invention, the interpretation knowledge base comprises one or more of a criterion interpretation rule base, an interpretation algorithm base, an interpretation template base, and an interpretation report template.
Further, in one embodiment of the present invention, the data processing analysis report includes curve contrast information and envelope analysis information, wherein the envelope analysis information includes standard threshold envelope analysis and historical data conventional control charts.
Further, in an embodiment of the present invention, the above intelligent interpretation device based on big data further includes: the second generation module is used for generating a document report based on a preset template according to the data processing analysis report; and the export module is used for exporting the document report according to a user instruction.
According to the intelligent interpretation device based on the big data, the real-time data acquisition, the real-time decoding, the quick interpretation and the one-click report can be achieved, the automation degree of the interpretation process is greatly improved, the interpretation working efficiency is improved, the manual participation is reduced, the human errors are avoided, the personnel contact is reduced through the remote cooperation, the cost and the risk of an enterprise can be reduced, the benefit is improved, and the intelligent interpretation has outstanding value and pre-development advantage in the aspect of the digital transformation of an assisted enterprise.
An embodiment of a third aspect of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being configured to perform a big data based intelligent interpretation method as described in the above embodiments.
A fourth aspect of the present invention provides a computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions for causing the computer to execute the big data-based intelligent interpretation method according to the above embodiment.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a big-data based intelligent interpretation method according to an embodiment of the invention;
fig. 2 is a block diagram of an intelligent big data-based interpretation apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The intelligent big data-based interpretation method and device according to the embodiment of the invention are described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of an intelligent interpretation method based on big data according to an embodiment of the present invention.
As shown in fig. 1, the intelligent interpretation method based on big data includes the following steps:
in step S101, experimental data of an experimental procedure is acquired.
It can be understood that the manner of acquiring the experimental data of the experimental process may adopt the manner of acquiring in the related art, and is not described in detail herein in order to avoid redundancy.
In step S102, a data judgment diagnosis analysis is performed on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result, and an instruction tracking feedback interpretation result.
Further, in one embodiment of the present invention, the interpretation knowledge base comprises one or more of a criterion interpretation rule base, an interpretation algorithm base, an interpretation template base, and an interpretation report template.
It can be understood that the implementation of the test data interpretation mainly comprises four cores and two extensions, namely real-time interpretation, post-event quick interpretation, post-event professional interpretation and interpretation result support decision; interpretation fault diagnosis and interpretation machine learning. The interpretation engine algorithms are five, namely data threshold interpretation, time sequence data interpretation, data curve similarity interpretation, historical data envelope-based interpretation and data correlation interpretation.
In a first aspect, an interpretation repository is managed, the interpretation repository comprising: a criterion interpretation rule base, an interpretation algorithm base, an interpretation template base and an interpretation report template;
in a second aspect, the data interpretation diagnostic analysis comprises: analog quantity interpretation, digital quantity interpretation, curve similarity interpretation, time sequence data interpretation (or pulse width) and instruction tracking feedback interpretation.
In step S103, a data processing analysis report is generated according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time series data interpretation result, and the instruction tracking feedback interpretation result.
Wherein, in one embodiment of the present invention, the data processing analysis report includes curve contrast information and envelope analysis information, wherein the envelope analysis information includes standard threshold envelope analysis and historical data conventional control map (3 σ).
Further, in an embodiment of the present invention, the above intelligent interpretation method based on big data further includes: generating a document report based on a preset template according to the data processing analysis report; and exporting the document report according to the user instruction.
In addition, the data result output and the function of providing the interpretation result output comprise: supporting the report result to generate a document report; the template adopts MS Word and WPS Word file formats to describe the presentation form of the report; and exporting the interpretation analysis result to generate a document report.
Therefore, the test data interpretation platform can achieve the effects of data real-time acquisition, real-time decoding, quick interpretation and report output by one key, so that the working efficiency is improved, human errors are avoided, and the interpretation quality is improved.
According to the intelligent interpretation method based on the big data, provided by the embodiment of the invention, the real-time data acquisition, the real-time decoding, the quick interpretation and the one-click report can be achieved, the automation degree of the interpretation process is greatly improved, the interpretation working efficiency is improved, the manual participation is reduced, the human errors are avoided, the personnel contact is reduced through the remote cooperation, the cost and the risk of an enterprise can be reduced, the benefit is improved, and the intelligent interpretation has outstanding value and pre-development advantage in the aspect of assisting the digital transformation of the enterprise.
Next, an intelligent interpretation apparatus based on big data according to an embodiment of the present invention will be described with reference to the accompanying drawings.
Fig. 2 is a block diagram of an intelligent big data-based interpretation apparatus according to an embodiment of the present invention.
As shown in fig. 2, the intelligent interpretation apparatus 10 based on big data includes: an acquisition module 100, an analysis module 200 and a first generation module 300.
The obtaining module 100 is configured to obtain experimental data of an experimental process. The analysis module 200 is configured to perform data judgment, diagnosis and analysis on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result, and an instruction tracking feedback interpretation result. The first generating module 300 is configured to generate a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time-series data interpretation result, and the instruction tracking feedback interpretation result.
Further, in one embodiment of the present invention, the interpretation knowledge base comprises one or more of a criterion interpretation rule base, an interpretation algorithm base, an interpretation template base, and an interpretation report template.
Further, in one embodiment of the present invention, the data processing analysis report includes curve contrast information and envelope analysis information, wherein the envelope analysis information includes standard threshold envelope analysis and historical data conventional control charts.
Further, in an embodiment of the present invention, the above intelligent interpretation apparatus 10 based on big data further includes: the second generation module is used for generating a document report based on a preset template according to the data processing analysis report; and the export module is used for exporting the document report according to the user instruction.
It should be noted that the foregoing explanation of the embodiment of the intelligent interpretation method based on big data is also applicable to the intelligent interpretation device based on big data of the embodiment, and details are not repeated here.
According to the intelligent interpretation device based on the big data provided by the embodiment of the invention, the real-time data acquisition, the real-time decoding, the quick interpretation and the one-click report can be achieved, the automation degree of the interpretation process is greatly improved, the interpretation working efficiency is improved, the manual participation is reduced, the human errors are avoided, the personnel contact is reduced through the remote cooperation, the cost and the risk of an enterprise can be reduced, the benefit is improved, and the intelligent interpretation has outstanding value and pre-development advantage in the aspect of assisting the digital transformation of the enterprise.
In order to implement the above embodiments, the present invention further provides an electronic device, including: at least one processor and a memory. Wherein the memory is communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions configured for performing the big data based intelligent interpretation of the above embodiments. A method, such as for:
acquiring experimental data of an experimental process;
carrying out data judgment, diagnosis and analysis on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and
and generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result.
In order to implement the above embodiments, the present invention further provides a computer-readable storage medium storing computer instructions for causing a computer to execute the intelligent big data based interpretation method of the above embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "N" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of implementing the embodiments of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. An intelligent interpretation method based on big data is characterized by comprising the following steps:
acquiring experimental data of an experimental process;
carrying out data judgment, diagnosis and analysis on the experimental data based on an interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and
and generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result.
2. The method of claim 1, wherein the interpretation knowledge base comprises one or more of a library of criteria interpretation rules, a library of interpretation algorithms, a library of interpretation templates, and an interpretation report template.
3. The method of claim 1, wherein the data processing analysis report includes curve contrast information and envelope analysis information, wherein the envelope analysis information includes standard threshold envelope analysis and historical data conventional control charts.
4. The method of claim 1, further comprising:
generating a document report based on a preset template according to the data processing analysis report;
and exporting the document report according to a user instruction.
5. An intelligent interpretation apparatus based on big data, comprising:
the acquisition module is used for acquiring experimental data of an experimental process;
the analysis module is used for carrying out data judgment diagnosis analysis on the experimental data based on the interpretation knowledge base according to the experimental data to obtain an analog quantity interpretation result, a digital quantity interpretation result, a curve similarity interpretation result, a time sequence data interpretation result and an instruction tracking feedback interpretation result; and
and the first generation module is used for generating a data processing analysis report according to the analog quantity interpretation result, the digital quantity interpretation result, the curve similarity interpretation result, the time sequence data interpretation result and the instruction tracking feedback interpretation result.
6. The method of claim 5, wherein the interpretation knowledge base comprises one or more of a library of criteria interpretation rules, a library of interpretation algorithms, a library of interpretation templates, and an interpretation report template.
7. The apparatus of claim 5, wherein the data processing analysis report comprises curve contrast information and envelope analysis information, wherein the envelope analysis information comprises standard threshold envelope analysis and historical data conventional control charts.
8. The apparatus of claim 5, further comprising:
the second generation module is used for generating a document report based on a preset template according to the data processing analysis report;
and the export module is used for exporting the document report according to a user instruction.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the big data based intelligent interpretation method according to any one of claims 1 to 4.
10. A computer-readable storage medium on which a computer program is stored, the program being executed by a processor for implementing the big-data based intelligent interpretation method according to any one of claims 1 to 4.
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