CN111177228A - Data processing method, system and device based on subject evaluation and electronic equipment - Google Patents
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Abstract
The invention provides a data processing method, a system, a device and electronic equipment based on subject evaluation, which can integrate target data corresponding to different subjects based on a plurality of MySQL databases, determine the data input type of input data when the input data uploaded by terminal equipment is obtained, convert the input data to obtain data to be detected, determine a detection database corresponding to the data to be detected based on the data type of the data to be detected, and read the data to be detected by using the detection database, so that a comparison result after the data to be detected is compared with the target data in the detection database is obtained. The electronic equipment is connected with the terminal equipment and the MySQL databases, can ensure that input data uploaded by the terminal equipment can be matched with the MySQL databases, ensures that the input data are accurately processed and analyzed based on the detection database, and realizes processing, analysis and reading in batches of diversified subject jobs and subject tests.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a subject evaluation-based data processing method, a subject evaluation-based data processing system, a subject evaluation-based data processing device and electronic equipment.
Background
Along with the development of science and technology, intelligent teaching effectively improves teaching efficiency and teaching quality. For example, a teacher may implement cross-regional teaching through remote video teaching. Also for example, students can learn and test online through electronic terminals. However, the existing intelligent teaching technology cannot realize intelligent processing and analysis of jobs and tests of different disciplines, still stays at the stage of manual processing and reading for diversified discipline jobs and discipline tests, and is difficult to realize processing and analysis of diversified discipline jobs and discipline tests based on an intelligent teaching method.
Disclosure of Invention
In order to overcome at least the above-mentioned deficiencies in the prior art, an object of the present invention is to provide a method, a system, a device and an electronic apparatus for data processing based on subject evaluation.
In a first aspect of the embodiments of the present invention, a data processing method based on subject evaluation is provided, which is applied to an electronic device, where the electronic device communicates with multiple MySQL databases, each MySQL database pre-stores target data for data comparison, the target data represents subject operation data or subject test data corresponding to a subject category, the data types of the target data corresponding to different MySQL databases are different, and each MySQL database is further provided with subject identification information corresponding to the target data pre-stored in each MySQL database, and the method at least includes:
acquiring input data uploaded by terminal equipment, wherein the terminal equipment is equipment for online learning or online testing of a user, and the input data is input by the user through the terminal equipment;
determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input;
converting the input data according to the data input type of the input data to obtain data to be detected;
extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected;
mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result;
and returning the comparison result to the terminal equipment.
Optionally, the converting the data according to the data input type of the input data to obtain the data to be detected includes:
if the data type of the input data is text input, extracting a target word vector corresponding to the input data according to a preset word vector list;
determining character codes corresponding to all vector values in the target word vectors;
and obtaining the data to be detected corresponding to the input data according to the character codes.
Optionally, the converting the data according to the data input type of the input data to obtain the data to be detected includes:
if the data type of the input data is image input, dividing a target image corresponding to the input data into a plurality of image blocks and determining the relative position of each image block in the target image;
determining the average gray value of each image block;
and obtaining the image code of the target image according to the average gray value and the relative position of each image block, and obtaining the data to be detected corresponding to the input data according to the image code.
Optionally, the converting the data according to the data input type of the input data to obtain the data to be detected includes:
if the data type of the input data is voice input, segmenting the input data according to a set time interval to obtain a plurality of data segments;
determining an amplitude sequence corresponding to each data segment, wherein the amplitude sequence comprises a plurality of signal amplitudes;
and converting each amplitude sequence into a first voice code, combining a plurality of first voice codes to obtain a second voice code, and obtaining the data to be detected corresponding to the input data according to the second voice code.
Optionally, the extracting the data features corresponding to the data to be detected to obtain the data feature vector corresponding to the data to be detected includes:
determining the interval length corresponding to binary data in the data to be detected;
determining the data characteristics of the data to be detected according to the interval length;
and performing feature extraction on the data features to obtain data feature vectors corresponding to the data to be detected.
Optionally, the inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result includes:
enabling the detection database to determine the contact ratio of the data to be detected and the target data;
if the contact ratio is more than or equal to a first set value, obtaining a first comparison result;
if the contact ratio is greater than or equal to a second set value and smaller than the first set value, a second comparison result is obtained;
if the contact ratio is greater than or equal to a third set value and smaller than the second set value, obtaining a third comparison result;
and if the contact ratio is smaller than the third set value, obtaining a fourth comparison result.
Optionally, the returning the comparison result to the terminal device includes:
sending a first verification key to the terminal equipment;
receiving a second verification key generated by the terminal device based on the first verification key, and judging whether the second verification key is consistent with a preset key;
if so, returning the comparison result to the terminal equipment;
reading the operation parameters of the terminal equipment according to a preset interval, and determining a verification value according to the operation parameters;
and when the verification value is lower than the set value, issuing a destruction instruction to the terminal equipment to control the terminal equipment to destroy the comparison result.
In a second aspect of the embodiments of the present invention, a data processing system based on subject evaluation is provided, which includes an electronic device, a terminal device, and a plurality of MySQL databases, where the electronic device communicates with the terminal device and the plurality of MySQL databases, each MySQL database pre-stores target data for data comparison, the target data represents subject operation data or subject test data corresponding to a subject category, data types of the target data corresponding to different MySQL databases are different, and each MySQL database is further provided with subject identification information corresponding to the target data pre-stored in each MySQL database;
the terminal device is used for uploading input data, the terminal device is a device for a user to perform online learning or online testing, and the input data is input by the user through the terminal device;
the electronic equipment is used for acquiring input data uploaded by the terminal equipment; determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input; converting the input data according to the data input type of the input data to obtain data to be detected; extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected; mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result; and returning the comparison result to the terminal equipment.
A third aspect of the embodiments of the present invention provides a data processing apparatus based on subject evaluation, which is applied to an electronic device, where the electronic device communicates with multiple MySQL databases, each MySQL database pre-stores target data for data comparison, the target data represents subject operation data or subject test data corresponding to a subject category, data types of the target data corresponding to different MySQL databases are different, and each MySQL database is further provided with subject identification information corresponding to the target data pre-stored in each MySQL database, and the apparatus at least includes:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring input data uploaded by terminal equipment, the terminal equipment is equipment for a user to perform online learning or online testing, and the input data is input by the user through the terminal equipment;
the determining module is used for determining the data input type of the input data, wherein the data input type comprises text input, image input and voice input;
the conversion module is used for converting the input data according to the data input type of the input data to obtain data to be detected;
the extraction module is used for extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, and the data characteristic vectors are used for representing data categories of the data to be detected;
the comparison module is used for mapping the data type corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data type in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result;
and the return module is used for returning the comparison result to the terminal equipment.
In a fourth aspect of the embodiments of the present invention, an electronic device is provided, which includes a processor, and a memory and a bus connected to the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the subject evaluation-based data processing method described above.
In a fifth aspect of the embodiments of the present invention, there is provided a readable storage medium on which a program is stored, the program implementing the subject evaluation-based data processing method described above when executed by a processor.
The subject evaluation-based data processing method, system, device and electronic equipment provided by the embodiment of the invention can integrate target data corresponding to different subjects based on a plurality of MySQL databases, so that when input data uploaded by the terminal equipment is obtained, the data input type of the input data is determined, the input data is converted based on the data input type to obtain data to be detected, the data category of the data to be detected is further determined, then the detection database corresponding to the data to be detected is determined based on the data category, the data to be detected is read in batch by using the detection database, a comparison result after the data to be detected is compared with the target data in the detection database is obtained, and the comparison result is returned to the terminal equipment.
It can be understood that, because the electronic equipment is connected with the terminal equipment and the MySQL databases, input data uploaded by the terminal equipment can be matched with the MySQL databases, so that the input data can be accurately processed and analyzed based on the detection database, and processing, analysis and reading of diversified subject jobs and subject tests can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a data processing method based on discipline evaluation according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of a data processing apparatus based on discipline evaluation according to an embodiment of the present invention.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon:
200-a data processing device based on subject assessment; 201-an acquisition module; 202-a determination module; 203-a conversion module; 204-an extraction module; 205-a comparison module; 206-a return module;
300-an electronic device; 301-a processor; 302-a memory; 303-bus.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Fig. 1 is a flowchart of a data processing method based on disciplinary evaluation, which is applied to an electronic device according to an embodiment of the present invention. In this embodiment, the electronic device communicates with a plurality of MySQL databases, each MySQL database prestores target data for data comparison, the target data represents subject operation data or subject test data corresponding to a subject category, the target data corresponding to different MySQL databases have different data types, and each MySQL database further has subject identification information corresponding to the target data prestored in each MySQL database.
In this embodiment, the electronic device may be a computer, a tablet computer, or other terminal capable of implementing data processing and analysis.
Further, the method shown in fig. 1 may include the following:
and step S21, acquiring the input data uploaded by the terminal equipment.
In step S22, the data input type of the input data is determined.
And step S23, converting the input data according to the data input type of the input data to obtain the data to be detected.
And step S24, extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected.
Step S25, mapping the data type corresponding to the data characteristic vector to each MySQL database to obtain the data identification information of the data type in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; and taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result.
And step S26, returning the comparison result to the terminal equipment.
In step S21, the terminal device is a device for online learning or online testing by a user, and the input data is input by the user through the terminal device.
In step S22, the data input types include text input, image input, and voice input.
In step S25, the data feature vector is used to characterize the data category of the data to be detected.
In the present embodiment, the comparison result may be understood as a comparison result after the data to be detected is compared with the target data in the detection database.
In this embodiment, through steps S21 to S26, target data corresponding to different disciplines can be integrated based on a plurality of MySQL databases, so that when input data uploaded by the terminal device is obtained, a data input type of the input data is determined, the input data is converted based on the data input type to obtain data to be detected, a data category of the data to be detected is determined, then a detection database corresponding to the data to be detected is determined based on the data category, the data to be detected is read through the detection database, a comparison result after the data to be detected is compared with the target data in the detection database is obtained, and the comparison result is returned to the terminal device. Because electronic equipment is connected terminal equipment and a plurality of MySQL databases, so, can ensure that the input data that terminal equipment uploaded can match with a plurality of MySQL databases to ensure to carry out accurate processing and analysis to input data based on detecting the database, can realize handling, analysis and reading in batches to diversified subject operation and subject test, and then realize the subject aassessment of different subjects.
In practical applications, in order to enable input data of different data input types to be used by an electronic device and avoid incompatibility between data of different data input types, in step S23, the data is converted according to the data input type of the input data to obtain data to be detected, which may specifically include the following:
and if the data type of the input data is text input, extracting a target word vector corresponding to the input data according to a preset word vector list. And determining the character codes corresponding to all vector values in the target word vector. And obtaining the data to be detected corresponding to the input data according to the character codes.
In this embodiment, the preset word vector list includes a corresponding relationship between text characters and word vectors, and each text character corresponds to one word vector in the preset word vector list.
In this embodiment, the character encoding may be binary encoding. Of course, in a specific implementation, the character codes may be displayed in other binary systems, which is not limited herein.
Accordingly, the data to be detected may also be binary data.
If the data type of the input data is image input, dividing a target image corresponding to the input data into a plurality of image blocks and determining the relative position of each image block in the target image. An average gray value for each image block is determined. And obtaining the image code of the target image according to the average gray value and the relative position of each image block, and obtaining the data to be detected corresponding to the input data according to the image code.
In this embodiment, a two-dimensional coordinate system may be established with any one of the image blocks as the origin of coordinates to determine the relative position of each image block. Alternatively, the relative position may be a two-dimensional coordinate value.
And if the data type of the input data is voice input, segmenting the input data according to a set time interval to obtain a plurality of data segments. And determining a magnitude sequence corresponding to each data segment, wherein the magnitude sequence comprises a plurality of signal magnitudes. And converting each amplitude sequence into a first voice code, combining a plurality of first voice codes to obtain a second voice code, and obtaining the data to be detected corresponding to the input data according to the second voice code.
In the embodiment, the set time interval may be 0.5s, or may be selected according to actual situations, and is generally selected between 0.5s and 1 s.
In this embodiment, the signal amplitude may be a peak in each signal band.
It should be understood that, in the present embodiment, although the input data of different data input types are finally converted into the data to be detected, the length sections of the binary data of the data to be detected corresponding to the input data of different data input types are different.
For example, the length section of binary data corresponding to text data may be z1, the length section of binary data corresponding to image data may be z2, and the length section of binary data corresponding to voice data may be z 3.
It can be understood that, through the above, data conversion can be performed on input data of different data input types to obtain data to be detected, which can be directly used or processed for electronic equipment, and features (binary data length intervals) corresponding to different data input types can be reserved, so that incompatibility between data of different data input types can be avoided.
In specific implementation, in order to improve the matching degree between the data to be detected and the MySQL database, in step S24, the extracting the data features corresponding to the data to be detected to obtain the data feature vectors corresponding to the data to be detected may specifically include the following contents:
and determining the interval length corresponding to the binary data in the data to be detected.
And determining the data characteristics of the data to be detected according to the interval length.
And performing feature extraction on the data features to obtain data feature vectors corresponding to the data to be detected.
In this embodiment, the data feature is used to represent a length value of the interval length, and the data feature is also used to represent a data density of the data to be detected, where the data density is a data size of the data to be detected, which can be called by the electronic device in unit time.
It can be understood that through the content, the data characteristic vectors of different data to be detected can be determined, so that the subsequent matching between the data to be detected and each MySQL database is realized, and the matching degree between the data to be detected and the MySQL database is improved.
In a specific implementation, in order to improve flexibility of processing, analyzing and reviewing input data (assignments and tests of students), in step S25, the data to be detected is input into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result, which may specifically include the following:
and determining the coincidence degree of the data to be detected and the target data by the detection database.
And if the contact ratio is more than or equal to a first set value, obtaining a first comparison result.
And if the contact ratio is greater than or equal to a second set value and smaller than the first set value, obtaining a second comparison result.
And if the contact ratio is greater than or equal to a third set value and smaller than the second set value, obtaining a third comparison result.
And if the contact ratio is smaller than the third set value, obtaining a fourth comparison result.
In this embodiment, the range of the overlap ratio may be determined by the first set value, the second set value, the third set value, and the fourth set value, and then different comparison results may be obtained according to different ranges of the overlap ratio.
In this embodiment, the first set value is greater than the second set value, the second set value is greater than the third set value, and the third set value is greater than the fourth set value, and accordingly, the first comparison result represents that the coincidence degree of the data to be detected and the target data in the detection database is higher, so the first comparison result can be used for representing that the reviewing result of the data to be detected is excellent, similarly, the second comparison result can be used for representing that the reviewing result of the data to be detected is good, the third comparison result can be used for representing that the reviewing result of the data to be detected is pass, and the fourth comparison result can be used for representing that the reviewing result of the data to be detected is not up to standard.
It will be appreciated that by the above, the flexibility of processing, analyzing and reviewing the input data can be increased.
In a specific implementation, in order to ensure the security of the transmission of the comparison result, in step S26, the returning of the comparison result to the terminal device may specifically include the following:
and sending the first verification key to the terminal equipment.
And receiving a second verification key generated by the terminal equipment based on the first verification key, and judging whether the second verification key is consistent with a preset key.
And if so, returning the comparison result to the terminal equipment.
And reading the operation parameters of the terminal equipment according to a preset interval, and determining a verification value according to the operation parameters.
And when the verification value is lower than the set value, issuing a destruction instruction to the terminal equipment to control the terminal equipment to destroy the comparison result.
It can be understood that, through the above, the security of the terminal device can be ensured before the comparison result is sent, and the security of the terminal device can be further determined after the comparison result is sent, so that the security of the comparison result during transmission and use is ensured, and the comparison result is prevented from being stolen when the terminal device has a risk of data leakage.
On the basis, the embodiment of the invention provides a data processing system based on subject evaluation, which comprises an electronic device, a terminal device and a plurality of MySQL databases, wherein the electronic device is communicated with the terminal device and the MySQL databases, target data used for data comparison is prestored in each MySQL database, the target data represents subject operation data or subject test data corresponding to subject categories, the data types of the target data corresponding to different MySQL databases are different, and each MySQL database is also provided with subject identification information corresponding to the target data prestored in each MySQL database.
The terminal device is used for uploading input data, the terminal device is used for a user to perform online learning or online testing, and the input data is input by the user through the terminal device.
The electronic equipment is used for acquiring input data uploaded by the terminal equipment; determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input; converting the input data according to the data input type of the input data to obtain data to be detected; extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected; mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result; and returning the comparison result to the terminal equipment.
Since the implementation principle of the subject evaluation-based data processing system is similar to that of the method shown in fig. 1, no further description is given here.
On the basis of the above, the embodiment of the present invention provides a data processing apparatus 200 based on subject evaluation. Fig. 2 is a functional block diagram of a data processing apparatus 200 based on disciplinary evaluation according to an embodiment of the present invention, the data processing apparatus 200 based on disciplinary evaluation includes:
the acquisition module 201 is configured to acquire input data uploaded by a terminal device, where the terminal device is a device for a user to perform online learning or online testing, and the input data is input by the user through the terminal device.
A determining module 202, configured to determine a data input type of the input data, where the data input type includes text input, image input, and voice input.
The conversion module 203 is configured to convert the input data according to the data input type of the input data to obtain data to be detected.
The extracting module 204 is configured to extract data features corresponding to the data to be detected, to obtain data feature vectors corresponding to the data to be detected, where the data feature vectors are used to represent data categories of the data to be detected.
The comparison module 205 is configured to map the data category corresponding to the data feature vector to each MySQL database, so as to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; and taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result.
A returning module 206, configured to return the comparison result to the terminal device.
The electronic device 300 includes a processor and a memory, the obtaining module 201, the determining module 202, the converting module 203, the extracting module 204, the comparing module 205, the returning module 206, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, accurate processing and analysis of input data based on the detection database can be ensured by adjusting kernel parameters, and processing, analysis and reading in batch of diversified subject jobs and subject tests can be realized.
An embodiment of the present invention provides a readable storage medium on which a program is stored, which, when executed by a processor, implements the subject evaluation-based data processing method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the data processing method based on subject evaluation executed when the program runs is as follows:
acquiring input data uploaded by terminal equipment, wherein the terminal equipment is equipment for online learning or online testing of a user, and the input data is input by the user through the terminal equipment;
determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input;
converting the input data according to the data input type of the input data to obtain data to be detected;
extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected;
mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result;
and returning the comparison result to the terminal equipment.
In the embodiment of the present invention, as shown in fig. 3, the electronic device 300 includes at least one processor 301, and at least one memory 302 and a bus connected to the processor 301; wherein, the processor 301 and the memory 302 complete the communication with each other through the bus 303; the processor 301 is configured to call program instructions in the memory 302 to perform the above-described subject evaluation-based data processing method. The electronic device 300 herein may be an electronic device, a PC, a PAD, a mobile phone, etc.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing electronic device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, an electronic device includes one or more processors (CPUs), memory, and a bus. The electronic device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage electronic devices, or any other non-transmission medium that can be used to store information that can be accessed by computing electronic devices. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or electronic device 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 electronic device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or electronic device in which the element is included.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
To sum up, the subject evaluation-based data processing method, system, device and electronic device provided by the embodiments of the present invention can integrate target data corresponding to different subjects based on a plurality of MySQL databases, so that when input data uploaded by a terminal device is obtained, a data input type of the input data is determined, the input data is converted based on the data input type to obtain data to be detected, a data category of the data to be detected is further determined, then a detection database corresponding to the data to be detected is determined based on the data category, and the data to be detected is read in batch by using the detection database, so that a comparison result after the data to be detected is compared with the target data in the detection database is obtained, and the comparison result is returned to the terminal device.
It can be understood that, because the electronic equipment is connected with the terminal equipment and the MySQL databases, input data uploaded by the terminal equipment can be matched with the MySQL databases, so that the input data can be accurately processed and analyzed based on the detection database, and processing, analysis and reading of diversified subject jobs and subject tests can be realized.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A data processing method based on subject evaluation is applied to electronic equipment, the electronic equipment is communicated with a plurality of MySQL databases, each MySQL database is prestored with target data used for data comparison, the target data represents subject operation data or subject test data corresponding to subject categories, the data types of the target data corresponding to different MySQL databases are different, each MySQL database is also provided with subject identification information corresponding to the target data prestored in each MySQL database, and the method at least comprises the following steps:
acquiring input data uploaded by terminal equipment, wherein the terminal equipment is equipment for online learning or online testing of a user, and the input data is input by the user through the terminal equipment;
determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input;
converting the input data according to the data input type of the input data to obtain data to be detected;
extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected;
mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result;
and returning the comparison result to the terminal equipment.
2. The method according to claim 1, wherein the converting the data according to the data input type of the input data to obtain the data to be detected comprises:
if the data type of the input data is text input, extracting a target word vector corresponding to the input data according to a preset word vector list;
determining character codes corresponding to all vector values in the target word vectors;
and obtaining the data to be detected corresponding to the input data according to the character codes.
3. The method according to claim 1, wherein the converting the data according to the data input type of the input data to obtain the data to be detected comprises:
if the data type of the input data is image input, dividing a target image corresponding to the input data into a plurality of image blocks and determining the relative position of each image block in the target image;
determining the average gray value of each image block;
and obtaining the image code of the target image according to the average gray value and the relative position of each image block, and obtaining the data to be detected corresponding to the input data according to the image code.
4. The method according to claim 1, wherein the converting the data according to the data input type of the input data to obtain the data to be detected comprises:
if the data type of the input data is voice input, segmenting the input data according to a set time interval to obtain a plurality of data segments;
determining an amplitude sequence corresponding to each data segment, wherein the amplitude sequence comprises a plurality of signal amplitudes;
and converting each amplitude sequence into a first voice code, combining a plurality of first voice codes to obtain a second voice code, and obtaining the data to be detected corresponding to the input data according to the second voice code.
5. The method according to any one of claims 2 to 4, wherein the extracting the data features corresponding to the data to be detected to obtain the data feature vector corresponding to the data to be detected comprises:
determining the interval length corresponding to binary data in the data to be detected;
determining the data characteristics of the data to be detected according to the interval length;
and performing feature extraction on the data features to obtain data feature vectors corresponding to the data to be detected.
6. The method according to claim 1, wherein the inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result comprises:
enabling the detection database to determine the contact ratio of the data to be detected and the target data;
if the contact ratio is more than or equal to a first set value, obtaining a first comparison result;
if the contact ratio is greater than or equal to a second set value and smaller than the first set value, a second comparison result is obtained;
if the contact ratio is greater than or equal to a third set value and smaller than the second set value, obtaining a third comparison result;
and if the contact ratio is smaller than the third set value, obtaining a fourth comparison result.
7. The method of claim 1, wherein returning the comparison result to the terminal device comprises:
sending a first verification key to the terminal equipment;
receiving a second verification key generated by the terminal device based on the first verification key, and judging whether the second verification key is consistent with a preset key;
if so, returning the comparison result to the terminal equipment;
reading the operation parameters of the terminal equipment according to a preset interval, and determining a verification value according to the operation parameters;
and when the verification value is lower than the set value, issuing a destruction instruction to the terminal equipment to control the terminal equipment to destroy the comparison result.
8. A data processing system based on subject evaluation is characterized by comprising electronic equipment, terminal equipment and a plurality of MySQL databases, wherein the electronic equipment is communicated with the terminal equipment and the MySQL databases, target data used for data comparison are prestored in each MySQL database, the target data represent subject operation data or subject test data corresponding to subject categories, the data types of the target data corresponding to different MySQL databases are different, and each MySQL database is also provided with subject identification information corresponding to the target data prestored in each MySQL database;
the terminal device is used for uploading input data, the terminal device is a device for a user to perform online learning or online testing, and the input data is input by the user through the terminal device;
the electronic equipment is used for acquiring input data uploaded by the terminal equipment; determining a data input type of the input data, wherein the data input type comprises text input, image input and voice input; converting the input data according to the data input type of the input data to obtain data to be detected; extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, wherein the data characteristic vectors are used for representing data categories of the data to be detected; mapping the data category corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data category in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result; and returning the comparison result to the terminal equipment.
9. The data processing device based on subject evaluation is applied to electronic equipment, the electronic equipment is communicated with a plurality of MySQL databases, each MySQL database is prestored with target data used for data comparison, the target data represents subject operation data or subject test data corresponding to subject categories, the data types of the target data corresponding to different MySQL databases are different, each MySQL database is further provided with subject identification information corresponding to the target data prestored in each MySQL database, and the device at least comprises:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring input data uploaded by terminal equipment, the terminal equipment is equipment for a user to perform online learning or online testing, and the input data is input by the user through the terminal equipment;
the determining module is used for determining the data input type of the input data, wherein the data input type comprises text input, image input and voice input;
the conversion module is used for converting the input data according to the data input type of the input data to obtain data to be detected;
the extraction module is used for extracting data characteristics corresponding to the data to be detected to obtain data characteristic vectors corresponding to the data to be detected, and the data characteristic vectors are used for representing data categories of the data to be detected;
the comparison module is used for mapping the data type corresponding to the data characteristic vector to each MySQL database to obtain data identification information of the data type in each MySQL database; determining similarity between each piece of data identification information and subject identification information corresponding to each piece of data identification information aiming at each piece of data identification information and the subject identification information corresponding to the MySQL database corresponding to each piece of data identification information; taking the MySQL database corresponding to the maximum similarity as a detection database, and inputting the data to be detected into the detection database so that the detection database compares the data to be detected with target data in the detection database to obtain a comparison result;
and the return module is used for returning the comparison result to the terminal equipment.
10. An electronic device comprising a processor and a memory and bus connected to the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the disciplinary assessment-based data processing method of any one of claims 1-7 above.
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