CN115905324A - Intelligent matching method and system applied to correlation of various data - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to an intelligent matching method and an intelligent matching system applied to correlation of various data, wherein the intelligent matching method comprises the following steps: the control terminal is a main control end of the system and is used for sending out an execution command; the setting module is used for setting a data acquisition channel of the system application; the uploading module is used for uploading example data of the associated matching data; the identification module is used for identifying the attribute of the data content transmitted in the data acquisition channel set by the setting module; the system can set the data acquisition channel in the operation process, ensures that the system can serve multiple users to ensure the diversity of data sources, further realizes that the system can have sufficient data content to perform data matching operation, and can distinguish and identify the attributes and characteristics of the data content in the process of matching and sorting the data content, so that the matching and sorting of the data content finished by the system are more accurate.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent matching method and an intelligent matching system applied to correlation of various data.
Background
Data consolidation is the process of checking, classifying and coding and digital coding of data collected in research activities such as investigation, observation and experiment, and is the basis of data statistical analysis. The data sorting is a working process of examining, grouping and summarizing a large amount of original data collected by statistical investigation according to tasks and requirements of statistical research, so that the original data are organized and systematized to obtain statistical data capable of reflecting overall comprehensive characteristics; and, reprocessing the sorted data also belongs to statistical sorting.
However, most of the current data arrangement is completed by manually operating a computer, the degree of intelligence is low, and in the face of arrangement work with huge data amount, a large amount of manpower and material resources are consumed for arranging data by manually operating the computer, and the time consumption is too long.
Disclosure of Invention
Solves the technical problem
Aiming at the defects in the prior art, the invention provides an intelligent matching method and an intelligent matching system applied to correlation of various data, and solves the technical problems in the background technology.
Technical scheme
In order to realize the purpose, the invention is realized by the following technical scheme:
in a first aspect, an intelligent matching system applied to correlation of multiple data includes:
the control terminal is a main control end of the system and is used for sending out an execution command;
the setting module is used for setting a data acquisition channel of the system application;
the uploading module is used for uploading example data of the associated matching data;
the identification module is used for identifying the attribute of the data content transmitted in the data acquisition channel set by the setting module;
the comparison module is used for comparing the example data with the same attribute with the data content transmitted through the data acquisition channel and judging whether the data content transmitted through the data acquisition channel is the same as the example data or not;
the monitoring module is used for monitoring the operation result data of the comparison module and capturing the data content with the judgment result of negative;
the monitoring module synchronously feeds back the data content to the storage unit after capturing the data content, and the storage unit deletes the data content which is stored inside and is the same as the fed-back data content.
Further, the setting module is provided with a sub-module at a lower level, including:
the deployment unit is used for deploying the network in a system service area;
the construction unit is used for constructing a data acquisition channel in a network deployed by the deployment unit by a system end user;
the data acquisition channel constructed by the construction unit interacts data through the network deployed by the deployment unit.
Furthermore, the data acquisition channel constructed by the construction unit is the data acquisition channel set by the setting module, and a system end user controls the setting module to delete the data acquisition channel set by the setting module through the control terminal.
Furthermore, the example data of the associated matching data uploaded by the uploading module is uploaded manually by a system end user, or after other system users send a request to the system through a data acquisition channel and are received by the control terminal, the system end user reads and confirms on the control terminal, and the other system users upload the example data through the data acquisition channel.
Further, the data content attributes identified by the identification module include: picture format, video format, audio format, binary file format, plain file and html;
and after the uploading of the example data of the associated matching data uploaded by the uploading module is finished, the identification module is used for synchronously identifying the data content data.
Still further, the identification module is provided with sub-modules at a lower level, including:
the distinguishing unit is used for referring to the result of the attribute identification of the data content by the identification module and distinguishing the data content according to the attribute of the data content;
the storage unit is used for receiving the data content of which the attribute distinguishing unit finishes distinguishing and storing the data content;
when the storage unit stores the data content, the same number of data file sub-folders are synchronously constructed according to the attribute category number of the data content, and the data contents with different attributes are distinguished and stored through the constructed data asking sub-folders.
Furthermore, when the comparison module compares the data content, the comparison module synchronously acquires the characteristics of the data, and judges whether the data is the same type data according to the number of items with the same data characteristics as those of the sample data in the data content transmitted through the data acquisition channel;
when the comparison module judges whether the sample data are the same data as the sample data, a judgment threshold value is manually set by a system end user, and the judgment threshold value is initially set to 65%.
Still further, the characteristics of the data include: the contour lines in the picture format data, the contour lines of the dynamic objects in the video format data, the text data converted by the text in the audio format data, the same character segments in the binary file format data, the same character segments in the plain file and the html data.
Furthermore, the control terminal is electrically connected with a setting module through a medium, the setting module is electrically connected with a deployment unit and a construction unit through a medium, the setting module is electrically connected with an uploading module and an identification module through a medium, the identification module is electrically connected with a distinguishing unit and a storage unit through a medium, and the identification module is electrically connected with a comparison module and a monitoring module through a medium.
In a second aspect, an intelligent matching method applied to correlation of multiple data includes the following steps:
step 1: setting a data acquisition channel, and transmitting the data content to be matched in real time by using the data acquisition channel;
and 2, step: receiving data content transmitted through a data acquisition channel, analyzing the attribute of the data content, and distinguishing and storing the data content according to the attribute of the data content;
and step 3: uploading example data, and performing characteristic capture on the example data and data content transmitted through a data acquisition channel;
and 4, step 4: setting a data content matching threshold, calculating the ratio of the number of the same features existing in the data content and the sample data to the total number of the data features existing in the sample data, and comparing the ratio with the set data content matching threshold;
and 5: and acquiring the data content which does not accord with the data content matching threshold value as a comparison result, and searching and deleting the acquired data content in the stored data content as a deletion target.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention provides an intelligent matching system applied to correlation of various data, which can set a data acquisition channel in the operation process, ensure that the system can serve multiple users to ensure the diversity of data sources, further realize that the system can perform data matching operation with sufficient data content, and can distinguish and identify attributes and characteristics of the data content in the process of matching and sorting the data content, so that the matching and sorting of the data content completed by the system are more accurate.
2. In the running process of the system, the matching and sorting process of the data content transmitted by the set data acquisition channel can be monitored, the unmatched data content can be deleted and processed through the monitoring result, and the matched data content is stored and reserved, so that a certain degree of management effect is brought to a storage unit arranged in the system, and the situation that the content space of the storage unit is occupied by too much useless data to be easily fully loaded is avoided.
3. The invention provides an intelligent matching method applied to correlation of various data, which can further maintain the stability of system operation in the invention through step execution in the method, and can also set a threshold value to accurately compare data contents existing in the data contents in the step execution process of the method, so that whether the data contents transmitted through a data acquisition channel are matched or not can be more accurately judged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of an intelligent matching system applied to correlation of various data;
FIG. 2 is a flow chart illustrating an intelligent matching method applied to correlation of various data;
the reference numerals in the drawings represent: 1. a control terminal; 2. a setting module; 21. a deployment unit; 22. a building unit; 3. an uploading module; 4. an identification module; 41. a distinguishing unit; 42. a storage unit; 5. a comparison module; 6. and a monitoring module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The present invention will be further described with reference to the following examples.
Example 1
An intelligent matching system applied to correlation of multiple data in this embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out an execution command;
the setting module 2 is used for setting a data acquisition channel of the system application;
the uploading module 3 is used for uploading example data of the associated matching data;
the identification module 4 is used for identifying the attribute of the data content transmitted in the data acquisition channel set by the setting module 2;
the comparison module 5 is used for comparing the example data with the same attribute and the data content transmitted through the data acquisition channel and judging whether the data content transmitted through the data acquisition channel is the same as the example data or not;
the monitoring module 6 is used for monitoring the operation result data of the comparison module 5 and capturing the data content with the judged result of no;
the monitoring module 6 synchronously feeds back the data content to the storage unit 42 after capturing the data content, and the storage unit 42 deletes the internally stored data content which is the same as the fed-back data content.
In this embodiment, the control terminal 1 controls the setting module 2 to operate a data acquisition channel applied by the setting system, the synchronous uploading module 3 uploads sample data related to the matching data, the recognition module 4 operates and recognizes the attribute of the data content transmitted in the data acquisition channel set by the setting module 2 in a rear-mounted manner, the comparison module 5 compares the sample data with the same attribute with the data content transmitted through the data acquisition channel to determine whether the data content transmitted through the data acquisition channel is the same as the sample data, and finally the monitoring module 6 monitors the operation result data of the comparison module 5 and captures the data content with the determined result of no.
Example 2
In a specific implementation aspect, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 1, an intelligent matching system applied to correlation of multiple data in embodiment 1:
the 2 subordinate of setting module is provided with the submodule piece, include:
a deployment unit 21, configured to deploy a network in a system service area;
a constructing unit 22, configured to construct a data acquisition channel in the network deployed by the deployment unit 21 by the system end user;
the data acquisition channel constructed by the construction unit 22 interacts data through the network deployed by the deployment unit 21.
Through the setting of the sub-modules at the lower level of the setting module 2, the data acquisition channels applied to the system operation can be stably managed, so that the data content can be acquired by a plurality of groups of data acquisition channels during the system operation.
As shown in fig. 1, the data acquisition channel constructed by the construction unit 22 is a data acquisition channel set by the setting module 2, and a system end user controls the setting module 2 through the control terminal 1 to delete the data acquisition channel set by the setting module 2.
As shown in fig. 1, the example data of the associated matching data uploaded by the upload module 3 is manually uploaded by a system end user, or after other users of the system send a request to the system through a data acquisition channel and are received by the control terminal 1, the system end user reads and confirms on the control terminal 1, and other users of the system upload the example data through the data acquisition channel.
As shown in fig. 1, the data content attributes identified by the identification module 4 include: picture format, video format, audio format, binary file format, plain file and html;
after the uploading of the sample data of the associated matching data is completed, the identification module 4 is used for identifying the data content data synchronously.
As shown in fig. 1, the identification module 4 is provided with sub-modules at a lower level, including:
a distinguishing unit 41, configured to refer to a result of the identification module 4 performing attribute identification on the data content, and distinguish the data content according to an attribute of the data content;
a storage unit 42, configured to receive the data content whose attribute differentiation is completed by the differentiation unit 41, and store the data content;
when the storage unit 42 stores the data content, the same number of data file sub-folders are synchronously constructed according to the number of the attribute categories of the data content, and the data contents with different attributes are stored in a differentiated manner through the constructed data asking sub-folders.
Through the arrangement of the subordinate sub-modules of the identification module 4, the data content of which the data identification is finished can be further distinguished and stored, so that basic operation data support is brought to the operation of the subordinate modules in the system in a data storage mode, and the stable operation of the system is ensured.
As shown in fig. 1, when performing data content comparison, the comparison module 5 acquires the characteristics of the data synchronously, and determines whether the data is the same type data according to the number of items with the same data characteristics as those of the data in the example data, which exist in the data content transmitted through the data acquisition channel;
when the comparison module 5 determines whether the sample data is the same data as the sample data, the determination threshold is manually set by a system end user, and the determination threshold is initially set to 65%.
As shown in fig. 1, the characteristics of the data include: the data processing method comprises the steps of generating a contour line in picture format data, a contour line of a dynamic object in video format data, character data converted from characters in audio format data, the same character segment in binary file format data, the same character segment in a plain file and the same character segment in html data.
As shown in fig. 1, the control terminal 1 is electrically connected to the setting module 2 through a medium, the lower stage of the setting module 2 is electrically connected to the deployment unit 21 and the construction unit 22 through a medium, the setting module 2 is electrically connected to the uploading module 3 and the identification module 4 through a medium, the lower stage of the identification module 4 is electrically connected to the distinguishing unit 41 and the storage unit 42 through a medium, and the identification module 4 is electrically connected to the comparing module 5 and the monitoring module 6 through a medium.
Example 3
In a specific implementation level, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 2, an intelligent matching system applied to correlation of multiple data in embodiment 1:
an intelligent matching method applied to correlation of multiple data comprises the following steps:
step 1: setting a data acquisition channel, and transmitting the data content to be matched in real time by using the data acquisition channel;
step 2: receiving data content transmitted through a data acquisition channel, analyzing the attribute of the data content, and distinguishing and storing the data content according to the attribute of the data content;
and step 3: uploading example data, and performing characteristic capture on the example data and data content transmitted through a data acquisition channel;
and 4, step 4: setting a data content matching threshold, calculating the ratio of the number of the same features existing in the data content and the sample data to the total number of the data features existing in the sample data, and comparing the ratio with the set data content matching threshold;
and 5: and acquiring the data content which does not accord with the data content matching threshold value as a comparison result, and searching and deleting the acquired data content in the stored data content as a deletion target.
In summary, in the above embodiment, the system can set the data acquisition channel during the operation process, so as to ensure that the system can serve multiple users to ensure the diversity of data sources, and further achieve that the system can have sufficient data content to perform data matching operation, and can also distinguish and identify attributes and features of the data content during the process of matching and sorting the data content, so that the matching and sorting of the data content by the system is more accurate; in the running process of the system, the matching and sorting process of the data content transmitted by the set data acquisition channel can be monitored, the unmatched data content can be deleted and processed through the monitoring result, and the matched data content is stored and reserved, so that a certain degree of management effect is brought to a storage unit arranged in the system, and the situation that the content space of the storage unit is occupied by too much useless data to be easily fully loaded is avoided; in addition, the embodiment also discloses an intelligent matching method applied to correlation of various data, the stability of system operation can be further maintained through step execution in the method, and in the step execution process of the method, a threshold value can be set to accurately compare data contents existing in the data contents, so that whether the data contents transmitted through the data acquisition channel are matched or not can be more accurately judged.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. An intelligent matching system applied to correlation of multiple data is characterized by comprising:
the control terminal (1) is a main control end of the system and is used for sending out an execution command;
the setting module (2) is used for setting a data acquisition channel of system application;
an uploading module (3) for uploading example data of the associated matching data;
the identification module (4) is used for identifying the attribute of the data content transmitted in the data acquisition channel set by the setting module (2);
the comparison module (5) is used for comparing the example data with the same attribute with the data content transmitted through the data acquisition channel and judging whether the data content transmitted through the data acquisition channel is the same as the example data or not;
the monitoring module (6) is used for monitoring the operation result data of the comparison module (5) and capturing the data content with the judgment result of negative;
the monitoring module (6) synchronously feeds back to the storage unit (42) after capturing the data content, and the storage unit (42) deletes the internally stored data content which is the same as the fed-back data content.
2. The intelligent matching system applied to the correlation of multiple data according to claim 1, wherein the setting module (2) is provided with sub-modules at the lower stage, and the sub-modules comprise:
a deployment unit (21) for deploying a network in a system service area;
the construction unit (22) is used for constructing a data acquisition channel in a network deployed by the deployment unit (21) by a system end user;
the data acquisition channel constructed by the construction unit (22) interacts data through the network deployed by the deployment unit (21).
3. The intelligent matching system applied to correlation of multiple data according to claim 2, wherein the data acquisition channel constructed by the construction unit (22) is the data acquisition channel set by the setting module (2), and a system end user controls the setting module (2) to delete the data acquisition channel set by the setting module (2) through the control terminal (1).
4. The intelligent matching system applied to correlation of various data as claimed in claim 1, wherein the sample data of the correlated matching data uploaded by the uploading module (3) is uploaded manually by a system end user, or after other system users send a request to the system through a data acquisition channel and are received by the control terminal (1), the system end user reads and confirms on the control terminal (1), and then other system users upload the sample data through the data acquisition channel.
5. The intelligent matching system applied to the correlation of multiple data according to claim 1, wherein the data content attribute identified by the identification module (4) comprises: picture format, video format, audio format, binary file format, plain file and html;
the data content data is synchronously identified through the identification module (4) after the example data of the associated matching data uploaded by the uploading module (3) is uploaded.
6. The intelligent matching system applied to the correlation of multiple data according to claim 1, wherein the identification module (4) is provided with sub-modules at the lower stage, and the sub-modules comprise:
the distinguishing unit (41) is used for referring to the result of the attribute identification of the data content by the identification module (4) and distinguishing the data content according to the attribute of the data content;
a storage unit (42) for receiving the data content whose attribute is discriminated by the discrimination unit (41) and storing the data content;
when the storage unit (42) stores the data content, the same number of data file sub-folders are synchronously constructed according to the attribute category number of the data content, and the data contents with different attributes are stored in a distinguishing way through the constructed data asking sub-folders.
7. The intelligent matching system applied to correlation of various data as claimed in claim 1, wherein the comparison module (5) is configured to, when performing data content comparison, synchronously obtain characteristics of the data, and determine whether the data is homogeneous data according to the number of items in the data content transmitted through the data acquisition channel, where the data characteristics are the same as those in the sample data;
when the comparison module (5) judges whether the sample data are the same data as the sample data, a judgment threshold value is manually set by a system end user, and the judgment threshold value is initially set to 65%.
8. The intelligent matching system applied to the mutual correlation of various data as claimed in claim 7, wherein the characteristics of the data comprise: the contour lines in the picture format data, the contour lines of the dynamic objects in the video format data, the text data converted by the text in the audio format data, the same character segments in the binary file format data, the same character segments in the plain file and the html data.
9. The intelligent matching system applied to correlation of various data according to claim 1, wherein the control terminal (1) is electrically connected with a setting module (2) through a medium, the lower level of the setting module (2) is electrically connected with a deployment unit (21) and a construction unit (22) through a medium, the setting module (2) is electrically connected with an uploading module (3) and an identification module (4) through a medium, the lower level of the identification module (4) is electrically connected with a distinguishing unit (41) and a storage unit (42) through a medium, and the identification module (4) is electrically connected with a comparison module (5) and a monitoring module (6) through a medium.
10. An intelligent matching method applied to the mutual correlation of a plurality of data, which is an implementation method of the intelligent matching system applied to the mutual correlation of a plurality of data in any one of claims 1-9, and is characterized by comprising the following steps:
step 1: setting a data acquisition channel, and transmitting data contents to be matched in real time by using the data acquisition channel;
step 2: receiving data content transmitted through a data acquisition channel, analyzing the attribute of the data content, and distinguishing and storing the data content according to the attribute of the data content;
and step 3: uploading example data, and performing characteristic capture on the example data and data content transmitted through a data acquisition channel;
and 4, step 4: setting a data content matching threshold, calculating the ratio of the number of the same features existing in the data content and the sample data to the total number of the data features existing in the sample data, and comparing the ratio with the set data content matching threshold;
and 5: and acquiring the data content which does not accord with the data content matching threshold value as a comparison result, and searching and deleting the acquired data content in the stored data content as a deletion target.
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