WO2019085591A1

WO2019085591A1 - Intelligent hardware device, intelligent disk data processing method, and storage medium

Info

Publication number: WO2019085591A1
Application number: PCT/CN2018/101272
Authority: WO
Inventors: 朱世伟
Original assignee: 深圳市网心科技有限公司
Priority date: 2017-11-02
Filing date: 2018-08-20
Publication date: 2019-05-09
Also published as: CN108009204A

Abstract

An intelligent hardware device, an intelligent disk data processing method, and a computer-readable storage medium. The method comprises: S10 scanning file directories of data files in real time, or at a set time or after a data file processing instruction is received, so as to acquire pre-set type attribute information of each of the data files; S20 according to the pre-set type attribute information of each of the data files and a predetermined file classification rule, performing classification processing on all of the data files, so as to obtain several file classes; and S30 in response to a file query request, with a file class, sent by a user terminal, querying, from data files corresponding to the file class, a data file corresponding to the file query request, and feeding the queried data file back to the user terminal. The present invention improves the file query efficiency, and reduces system resource consumption.

Description

Intelligent hardware device, disk data intelligent processing method and storage medium

Priority claim

This application is based on the priority of the Chinese Patent Application entitled "Method and System Based on Extension Classification and Deduplication", filed on November 2, 2017, with the application number CN2017110610750 submitted on November 2, 2017. It is incorporated herein by reference.

Technical field

The present application relates to the field of intelligent hardware technologies, and in particular, to an intelligent hardware device, a disk data intelligent processing method, and a computer readable storage medium.

Background technique

With the improvement of people's living standards, people are smart hardware (Intelligent hardware refers to the transformation of traditional equipment through the combination of software and hardware, so that it has intelligent functions, after the intelligence, the hardware has the ability to connect, The demand for loading Internet services, with added value such as big data, such as smart phones, smart watches, smart TVs, smart bracelets, etc., is also growing. One of the most convenient features that intelligent hardware provides to users is the ability to remotely control intelligent hardware through remote access. For example, in a communication system architecture consisting of intelligent hardware devices, servers, and client devices, client devices often need to perform data interaction with embedded devices (eg, file query, storage, deletion, etc.).

However, existing intelligent hardware devices store a large number of data files (eg, pictures, videos, music, documents, etc.) on the disk, and as the usage time increases, the data files stored on the disk take up more and more disk space. Large, resulting in many problems, such as reduced performance, complex file query process, time-consuming, and a large amount of system resources.

Therefore, how to process the data files stored in the disk of the intelligent hardware device to effectively improve the system performance, effectively reduce the system resource consumption of the file query and greatly increase the speed of the file query has become a technical problem to be solved urgently.

Summary of the invention

The main purpose of the present application is to provide an intelligent hardware device, a disk data intelligent processing method, and a computer readable storage medium, which are designed to effectively reduce the system resource consumption of file query and greatly improve the speed of file query.

To achieve the above object, the present application provides an intelligent hardware device including a memory and a processor, wherein the memory stores a disk data intelligent processing program, and the disk data intelligent processing program is executed by the processor. The following steps are implemented:

Scanning step: scanning the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file, the data file being stored in communication with the intelligent hardware device Connected electronic device;

a sorting step: classifying all the data files according to preset attribute information of each of the data files and a predetermined file classification rule, and obtaining a plurality of file types;

Querying step: in response to a file query request with a file class sent by the user terminal, querying a data file corresponding to the file query request in a data file corresponding to the file class, and feeding back the queried data file to the User terminal.

In addition, in order to achieve the above object, the present application further provides an intelligent hardware device, where the smart hardware device includes a memory and a processor, where the disk data intelligent processing program is stored, and the disk data intelligent processing program is The processor implements the following steps when it executes:

Scanning step: real-time or timing, or after receiving the data file processing instruction, scanning a file directory of the data file to obtain preset type attribute information of each data file, the data file is stored in the memory;

In addition, to achieve the above object, the present application further provides a disk data intelligent processing method, which is applicable to an intelligent hardware device storing a data file, or an intelligent hardware device suitable for communicating with an electronic device storing the data file. , the method includes the steps of:

Scanning step: scanning the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file, where the data file is stored in the smart hardware device or The electronic device in which the intelligent hardware device is communicatively connected;

In addition, in order to achieve the above object, the present application further provides a computer readable storage medium storing a disk data intelligent processing program, the disk data intelligent processing program being executable by at least one processor, Having the at least one processor perform the following steps:

The real-time or timing of the application, or after receiving the data file processing instruction, scanning the file directory of the data file to obtain the preset type attribute information of each data file; according to the preset type attribute information of each of the data files and the advance Determining a file classification rule, classifying all the data files to obtain a plurality of file classes; and in response to the file query request with the file class sent by the user terminal, querying and referring to the data file corresponding to the file class The file queries the corresponding data file, and feeds the queried data file to the user terminal. Compared with the prior art, the present application classifies the data file, and only needs to query the data file corresponding to the file class provided by the user terminal when querying the data file, instead of querying all the data files in the storage space one by one. Therefore, the efficiency of file query is improved and system resource consumption is reduced.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the structures shown in the drawings without any creative work for those skilled in the art.

1 is a schematic diagram of an optional application environment of an intelligent hardware device of the present application;

2 is a schematic diagram of another optional application environment of the smart hardware device of the present application;

3 is a schematic diagram of an embodiment of an intelligent hardware device of the present application;

4 is a block diagram of a program of a first embodiment of a disk data intelligent processing program of the present application;

5 is a program module diagram of a second embodiment of a disk data intelligent processing program of the present application;

6 is a block diagram showing a program module of a third embodiment of the disk data intelligent processing program of the present application;

7 is a schematic diagram of a node tree of a file directory;

8 is a schematic flowchart of a first embodiment of a disk data intelligent processing method according to the present application;

9 is a schematic flowchart of a second embodiment of a disk data intelligent processing method according to the present application;

FIG. 10 is a schematic flowchart diagram of a third embodiment of a method for intelligently processing disk data according to the present application.

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

Detailed ways

The principles and features of the present application are described in the following with reference to the accompanying drawings, which are only used to explain the present application and are not intended to limit the scope of the application.

Referring to FIG. 1, FIG. 1 is a schematic diagram of an optional application environment of the smart hardware device 1 of the present application. In the application environment of FIG. 1, the smart hardware device 1 is in communication connection with the user terminal 2.

Referring to FIG. 2, FIG. 2 is a schematic diagram of another optional application environment of the smart hardware device 1 of the present application. In the application environment of FIG. 2, the smart hardware device 1 is communicatively coupled to the user terminal 2 and the electronic device 3, respectively.

Hereinafter, various embodiments of the present application are proposed based on the above application environment.

The application proposes an intelligent hardware device.

Please refer to FIG. 3. FIG. 3 is a schematic diagram of an embodiment of the smart hardware device 1 of the present application.

In this embodiment, the smart hardware device 1 may be a smart phone, a smart watch, a smart TV, a smart bracelet, or the like. The smart hardware device 1 may include, but is not limited to, a memory 11 and a processor 12 that communicate with each other through a program bus. Figure 3 shows only the smart hardware device 1 with the components 11, 12, but it should be understood that not all illustrated components may be implemented, and more or fewer components may be implemented instead.

The memory 11 may in some embodiments be an internal storage unit of the smart hardware device 1, such as a hard disk or memory of the smart hardware device 1. The memory 11 may also be an external storage device of the smart hardware device 1 in other embodiments, such as a plug-in hard disk equipped on the smart hardware device 1, a smart memory card (SMC), and a secure digital (Secure Digital, SD) card, flash card, etc. Further, the memory 11 may also include both an internal storage unit of the smart hardware device 1 and an external storage device. The memory 11 is used to store application software and various types of data installed in the smart hardware device 1, such as program code of the disk data intelligent processing program 10. The memory 11 can also be used to temporarily store data that has been output or is about to be output.

The processor 12, in some embodiments, may be a Central Processing Unit (CPU), microprocessor or other data processing chip for running program code or processing data stored in the memory 11, such as performing disk data intelligence. Processing program 10, etc.

Please refer to FIG. 4, which is a program module diagram of the first embodiment of the disk data intelligent processing program 10 of the present application. In the present embodiment, the disk data intelligent processing program 10 may be divided into one or more modules, one or more modules being stored in the memory 11 and being processed by one or more processors (this embodiment is the processor 12) ) is performed to complete the application. For example, in FIG. 4, the disk data intelligent processing program 10 can be divided into a scanning module 101, a classification module 102, and a first query module 103. The module referred to in the present application refers to a series of computer program instruction segments capable of performing a specific function, and is more suitable than the program to describe the execution process of the disk data intelligent processing program 10 in the smart hardware device 1, wherein:

The scanning module 101 is configured to scan the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file.

The above data file may be stored in an internal or external memory of the smart hardware device 1 (for example, the memory 11 shown in FIG. 3), or may be stored in an electronic device communicatively connected to the smart hardware device 1 (for example, in FIG. 2) In the illustrated electronic device 3).

The file directory of the above data file (for example, D:\PDF\Setup Files) may be stored in an internal or external memory of the smart hardware device 1 (for example, the memory 11 shown in FIG. 3), and may also be stored in the smart device. The hardware device 1 is communicatively connected to an electronic device (for example, the electronic device 3 shown in FIG. 2). It should be noted that the storage location of the data file and its file directory may be the same or different.

The preset type attribute information includes a storage path, a creation time, a file size, a picture capturing time, a picture GPS information, a picture rotation angle, a video duration, a file calling time point record, a file modification time point record, and/or a file extension. name.

The classification module 102 is configured to classify all the data files according to preset type attribute information of each of the data files and a predetermined file classification rule to obtain a plurality of file classes.

The above file class can be exemplified by a jpg format picture class, a pdf format document class, a word format document class, and/or an xls format document class.

The above predetermined file classification rules include:

First, according to a predetermined file extension (the predetermined file extension is included in the preset type attribute information, and the predetermined file extension can be exemplified by ".jpg", ".pdf", ".doc ", ".xls", etc.) and the file class mapping relationship, determine the file class corresponding to each of the data files. Then, each data file is respectively classified into a corresponding file class, for example, a classification label is set for each data file, and file type data of the data file is stored in each category label, or a file data between the file data and the file class is established. The relationship is mapped and the mapping relationship data is stored.

The first query module 103 is configured to respond to a file query request with a file class sent by the user terminal, query a data file corresponding to the file query request in a data file corresponding to the file class, and query the data. The file is fed back to the user terminal.

The step of the first query module 103 feeding back the queried data file to the user terminal includes:

The first query module 103 feeds back the data file of the query to the user terminal in the form of a list, and a user of the user terminal can select a data file to be viewed based on the file list that is fed back, if the user selects the data file in the file list. A data file, that is, a data retrieval request for sending the data file to the first query module 103, for the first query module 103 to send the data of the data file to the user terminal for display.

Further, the preset type attribute information includes the sortable file attribute information (for example, a photo shooting time, a file creation time, a file name, a file size, and the like), and the first query module 103 is further configured to:

First, in response to the file query request with the file class sent by the user terminal, the data file corresponding to the file query request is queried in the data file corresponding to the file class.

Then, the queried data files are sorted according to the file attribute information corresponding to the queried data file, and the queried data file is fed back to the user terminal according to the sorting result. For example, the data file of the query is fed back to the user terminal in the form of a list, and the data files in the file list are displayed in a sorted order, and a user of the user terminal can select a data file to be viewed based on the returned file list. If the user selects a data file in the file list, the data query request of the data file is sent to the first query module 103, and the first query module 103 sends the data of the data file to the user terminal for display. .

In this embodiment, the file directory of the data file is scanned in real time or periodically, or after receiving the data file processing instruction, to obtain the preset type attribute information of each data file; according to the preset type attribute information of each of the data files and Predetermining the file classification rule, classifying all the data files to obtain a plurality of file classes; responding to the file query request with the file class sent by the user terminal, querying and searching in the data file corresponding to the file class The file query requests a corresponding data file, and feeds the queried data file to the user terminal. Compared with the prior art, the data file is classified and processed in the embodiment. When the data file is queried, only the data file corresponding to the file class provided by the user terminal needs to be queried, and no data file is required in the storage space. Query, therefore, improves the efficiency of file queries and reduces system resource consumption.

Referring to FIG. 5, FIG. 5 is a block diagram of a program of a second embodiment of the disk data intelligent processing program of the present application.

The difference between the embodiment and the first embodiment is that the preset type attribute information includes a file call time point record, and/or a file modification time point record, and the first query module 103 includes an analysis unit 1031. Update unit 1032 and query unit 1033:

The analyzing unit 1031 is configured to call a time point record and/or a file modification time point record according to the file of each data file corresponding to each of the file classes, and analyze each of the file types according to a predetermined common file analysis rule. Corresponding common data files and less common data files.

The predetermined common file analysis rules include:

First, the file class is selected one by one. After a file class is selected, the time point record and/or the file modification time point record are called according to the file of each data file corresponding to the selected file class, and each of the selected file classes is respectively calculated. The number of file calls and/or file modifications for the data file within a preset time (for example, within the last 3 months).

Then, all data files satisfying the first preset condition and/or the second preset condition are found in the data file corresponding to the selected file class, and all the data files found are used as common data files, and the selection is performed. The data file corresponding to the file file is a non-use data file other than the common data file, and the first preset condition is that the number of file calls of the data file within a preset time is greater than the first preset number of times. The second preset condition is that the number of file modification times of the data file in the preset time is greater than the second preset number of times.

Finally, it is determined whether there is a file class that has not been selected. When it exists, it returns to continue to select a file class, and when it does not exist, outputs all common data files and very useful data files.

It should be noted that the first preset number of times and the second preset number of times may be equal or not equal.

The mapping update unit 1032 is configured to release the pre-established mapping relationship between each of the file classes and the corresponding infrequent data files, and maintain a pre-established mapping relationship between each of the file classes and the corresponding common data files.

The query unit 1033 is configured to respond to the file query request with the file class sent by the user terminal, query the common data file corresponding to the file query request from the common data file corresponding to the file class, and query the query data. The commonly used data file is fed back to the user terminal.

For example, the query unit 1033 feeds back the commonly used data file of the query to the user terminal in the form of a list, and a user of the user terminal can select a data file to be viewed based on the file list fed back, if the user selects the file list. A data file, that is, a data retrieval request for sending the data file to the query unit 1033, for the query unit 1033 to send the data of the data file to the user terminal for display.

In this embodiment, the common data file and the non-common data file corresponding to each file class are analyzed. When performing the file query request sent by the user terminal, only the common data file corresponding to the file class in the file query request is queried and fed back to the user. However, the system resource consumption of the file query is further reduced and the speed of the file query is further improved.

In this embodiment, the mapping update unit 1032 respectively pre-establishes the mapping relationship between each of the file classes and the corresponding infrequent data files, and pre-establishes the pre-establishment between each of the file classes and the corresponding common data files. The steps of the mapping relationship can be replaced by the following steps:

The mapping update unit 1032 establishes a mapping relationship between the file class and the corresponding common data file and saves it. In this step, the pre-established mapping relationship between the file class and the infrequently used data file is not needed, that is, the pre-established mapping relationship between the original file class and the data file is retained, and each file class and corresponding are established on the basis of this. The mapping relationship between common data files is saved in a new mapping table. When a query is needed, the common data files corresponding to each file class can be found directly in the new mapping table.

Further, the query unit 1033 is further configured to:

When receiving the continuation query request of the file carrying class sent by the user terminal, the data file corresponding to the file query request is queried from the data file corresponding to the file class, and the queried data file is fed back to The user terminal.

When the user does not select a satisfactory data file in the file list containing the common data file sent by the query unit 1033, the user terminal may send a resume query request to the query unit 1033, and the query unit 1033 responds to the resume query request in the file. All data files corresponding to the class are queried to the user terminal for querying the data file corresponding to the file query request.

Referring to FIG. 6, FIG. 6 is a block diagram of a program of a third embodiment of the disk data intelligent processing program 10 of the present application.

In this embodiment, based on the first embodiment and the second embodiment, the program further includes an extraction module 104, a mapping establishment module 105, and a second query module 106, where:

The extracting module 104 is configured to extract one or more directory tags from the file directories of the respective data files according to a predetermined label extraction rule.

The above predetermined label extraction rules can refer to the following two schemes:

Option One:

First, a node tree is established for each directory node of the file directory, and the node tree includes a plurality of directory node branches (for example, the directory node branch "X1-X2-X3-X4", "X1-X2-" in FIG. X5-X6", "X1-X2-X5-X7", "X1-Z1-Z2-Z3", "X1-Y1-Y2", etc.), each directory node branch includes a home directory node and a subdirectory node, each A superior directory node is a home directory node of its lower directory node. For example, node X1 in FIG. 7 is a home directory node of nodes X1, Z1, and Y1, and node X2 is a home directory node of nodes X3 and X5.

Then, the lowest-level shared directory node in each directory node branch is determined, and the lowest-level shared directory node of one directory node branch refers to all lower-level sub-shares that are shared with other directory node branches and corresponding to the directory node branch. Directory nodes are not directory nodes for shared directory nodes. For example, the lowest-level shared directory node corresponding to the directory node branch "X1-X2-X3-X4" in FIG. 7 is node X2, and the most corresponding to "X1-X2-X5-X6" and "X1-X2-X5-X7" The lower-level common directory nodes are all nodes X5.

Finally, the determined node names of the lowest-level common directory nodes of each directory node branch and the corresponding node names of all the upper-level directory nodes are respectively combined according to the position order of the corresponding directory node branches to generate a combined name, and the combined name This is the directory label of the corresponding directory node branch. For example, the directory label corresponding to the directory node branch "X1-X2-X3-X4" is "X1-X2".

Option II:

First, a node tree is established for each directory node of the file directory, and the node tree includes a plurality of directory node branches (for example, the directory node branch "X1-X2-X3-X4", "X1-X2-X5-" in FIG. X6", "X1-X2-X5-X7", "X1-Z1-Z2-Z3", "X1-Y1-Y2", etc.), each directory node branch includes a home directory node and a sub-directory node, each of which is a superior The directory node is the home directory node of the lower directory node. For example, node X1 in FIG. 7 is the home directory node of node X1, Z1, Y1, and node X2 is the home directory node of node X3, X5.

Then, respectively determine the i-th directory node in each directory node branch, i is a positive integer greater than 1, for example, i can be 2, and the second node of the directory node branch "X1-X2-X3-X4" in FIG. The level directory node is "X2".

Finally, the determined i-th directory node of each directory node branch and the node names of all corresponding upper-level directory nodes are sequentially combined according to the position of the corresponding directory node branch to generate a combined name, the combination The name is the directory label of the corresponding directory node branch. For example, the directory label corresponding to the directory node branch "X1-X2-X3-X4" is "X1-X2".

The mapping establishing module 105 is configured to map the directory labels of the data files and the corresponding file classes, and establish a mapping relationship between the preset type attribute information of each data file and the directory label of the associated mapping, and save the mapping relationship. The mapping relationship between the file type, the default type attribute information of the data file, and the directory label.

First, the mapping establishing module 105 marks the directory label of the corresponding data file for each file class. For example, if the file class M includes the data files M1 and M2, the directory label corresponding to the data file M1 is a1, and the directory corresponding to the data file M2. The label is a2, and the file class M marks the directory tags a1 and a2.

Next, the map creation module 105 stores the preset type file information of each data file corresponding to the file class M and the file class M, and the mapping relationship data of the directory tags a1 and a2 corresponding to the file class M.

The storage location of the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label may be the same as or different from the storage location of the data file. For example, the memory of the smart hardware device 1 (for example, the memory 11 in FIG. 3) is divided into a first storage area and a second storage area, or an electronic device (for example, the electronic device 3 in FIG. 2) that communicatively connects the smart hardware device 1 The memory divides the first storage area and the second storage area. The first storage area is used to store the data file, and the second storage area is used to store the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label.

The second query module 106 is configured to respond to the file query request with the directory label and the file class sent by the user terminal, according to the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label. Determining the preset type attribute information of each data file corresponding to the file class and the directory label in the query request, and generating a file query result corresponding to the query request (for example, a file query list), and querying the file result Feedback to the user terminal.

In this embodiment, a mapping relationship between the file type, the preset type attribute information of the data file, and the directory label is established. When the file is queried, the directory label and the file type provided by the user terminal can be quickly and accurately queried. The corresponding data file further improves the efficiency and accuracy of the file query.

In addition, the present application proposes a disk data intelligent processing method. The method is applicable to smart application devices that store data files, or to smart hardware devices that are communicatively coupled to electronic devices that store data files.

As shown in FIG. 8, FIG. 8 is a schematic flowchart of a first embodiment of a disk data intelligent processing method according to the present application.

In this embodiment, the method includes:

Step S10: Scan the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file.

The above data file may be stored in an internal or external memory of the smart hardware device, or may be stored in an electronic device (for example, the electronic device 3 shown in FIG. 2) communicatively coupled to the smart hardware device.

The file directory of the above data file (for example, D:\PDF\Setup Files) may be stored in an internal or external memory of the smart hardware device, or may be stored in an electronic device communicatively connected to the smart hardware device (for example, in FIG. 2) In the illustrated electronic device 3). It should be noted that the storage location of the data file and its file directory may be the same or different.

The foregoing preset type attribute information includes a storage path, a creation time, a file size, a picture capturing time, a picture GPS information, a picture rotation angle, a video duration, a file calling time point record, a file modification time point record, and/or a file extension. name.

Step S20: Perform classification processing on all the data files according to preset type attribute information of each of the data files and a predetermined file classification rule to obtain a plurality of file classes.

The above predetermined file classification rules include:

Step S30, in response to the file query request with the file class sent by the user terminal, query the data file corresponding to the file query request in the data file corresponding to the file class, and feed back the queried data file to the User terminal.

The step of feeding back the queried data file to the user terminal is as follows:

The data file of the query is fed back to the user terminal in the form of a list, and a user of the user terminal can select a data file to be viewed based on the file list fed back, and if the user selects a data file in the file list, Sending a data retrieval request of the data file to the smart hardware device, where the smart hardware device sends the data of the data file to the user terminal for display.

Further, the preset type attribute information includes sortable file attribute information (for example, a photo shooting time, a file creation time, a file name, a file size, and the like), and the step S30 includes:

Then, the queried data files are sorted according to the file attribute information corresponding to the queried data file, and the queried data file is fed back to the user terminal according to the sorting result. For example, the data file of the query is fed back to the user terminal in the form of a list, and the data files in the file list are displayed in a sorted order, and a user of the user terminal can select a data file to be viewed based on the returned file list. If the user selects a data file in the file list, the data acquisition request of the data file is sent to the smart hardware device, and the smart hardware device sends the data of the data file to the user terminal for display.

Referring to FIG. 9, FIG. 9 is a schematic flowchart diagram of a second embodiment of a disk data intelligent processing method according to the present application.

The difference between the embodiment and the first embodiment is that the preset type attribute information includes a file call time point record, and/or a file modification time point record, and the step S30 includes the following steps:

Step S31, invoking a time point record and/or a file modification time point record according to the file of each data file corresponding to each of the file classes, and analyzing, according to a predetermined common file analysis rule, respectively, respectively, corresponding to each of the file types Data files and less common data files.

The predetermined common file analysis rules include:

In step S32, the pre-established mapping relationship between each of the file classes and the corresponding infrequent data files is released, and the pre-established mapping relationship between each of the file classes and the corresponding common data files is retained.

Step S33, in response to the file query request with the file class sent by the user terminal, querying the common data file corresponding to the file query request from the common data file corresponding to the file class, and querying the commonly used data. The file is fed back to the user terminal.

For example, the commonly used data file of the query is fed back to the user terminal in the form of a list, and a user of the user terminal can select a data file to be viewed based on the file list fed back, if the user selects a data in the file list. The file is a data retrieval request for sending the data file to the intelligent hardware device, and the smart hardware device sends the data of the data file to the user terminal for display.

In this embodiment, the above step S32 can be replaced by the following steps:

Establish a mapping relationship between the file class and the corresponding common data file and save it. In this step, the pre-established mapping relationship between the file class and the infrequently used data file is not needed, that is, the pre-established mapping relationship between the original file class and the data file is retained, and each file class and corresponding are established on the basis of this. The mapping relationship between common data files is saved in a new mapping table. When a query is needed, the common data files corresponding to each file class can be found directly in the new mapping table.

Further, after step S33, the method further includes the following steps:

When the user does not select a satisfactory data file in the file list of the common data file sent by the smart hardware device, the user terminal may send a resume query request to the smart hardware device, and the smart hardware device responds to the resume query request in the file. All data files corresponding to the class are queried to the user terminal for querying the data file corresponding to the file query request.

Referring to FIG. 10, FIG. 10 is a schematic flowchart diagram of a third embodiment of a disk data intelligent processing method according to the present application.

The present embodiment is based on the first embodiment and the second embodiment. After the step S20, the method further includes:

Step S40: Extract one or more directory tags from the file directories of the respective data files according to a predetermined label extraction rule.

Option One:

Option II:

In step S50, the directory labels of the data files are associated with the corresponding file classes, and the mapping relationship between the preset type attribute information of each data file and the directory label of the associated mapping is established, and the file class and data are saved. The mapping relationship between the preset type attribute information of the file and the directory label.

First, the directory label of the corresponding data file is marked for each file class. For example, if the file type M includes the data files M1 and M2, the directory label corresponding to the data file M1 is a1, and the directory label corresponding to the data file M2 is a2. The directory tags a1 and a2 are marked for the file class M.

Next, the file type M, the file type M, the preset type file information of each data file, and the mapping relationship data of the directory tags a1 and a2 corresponding to the file class M are stored.

The storage location of the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label may be the same as or different from the storage location of the data file. For example, a memory of an intelligent hardware device (eg, memory 11 in FIG. 3) is divided into a first storage area and a second storage area, or a memory of an electronic device (eg, electronic device 3 in FIG. 2) in which the smart hardware device is communicatively coupled The first storage area and the second storage area are divided. The first storage area is used to store the data file, and the second storage area is used to store the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label.

Step S60, after responding to the file query request with the directory label and the file class sent by the user terminal, determining the query according to the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label. And the file type query result corresponding to the query file (for example, a file query list), and the file query result is fed back to the user terminal.

Further, the present application further provides a computer readable storage medium storing a disk data intelligent processing program, the disk data intelligent processing program being executable by at least one processor to enable the at least one A processor executes the steps of the disk data intelligent processing method in any of the above embodiments.

The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the patents of the present application, and the equivalent structural transformation, or direct/indirect use, of the present application and the contents of the drawings is used in the present invention. All other related technical fields are included in the patent protection scope of the present application.

Claims

An intelligent hardware device, comprising: a memory and a processor, wherein the memory stores a disk data intelligent processing program, and the disk data intelligent processing program is executed by the processor to implement the following steps :

Scanning step: scanning the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file, the data file being stored in communication with the intelligent hardware device Connected electronic device;

a sorting step: classifying all the data files according to preset attribute information of each of the data files and a predetermined file classification rule, and obtaining a plurality of file types;

Querying step: in response to a file query request with a file class sent by the user terminal, querying a data file corresponding to the file query request in a data file corresponding to the file class, and feeding back the queried data file to the User terminal.
The intelligent hardware device according to claim 1, wherein the preset type attribute information comprises a file extension, and the predetermined file classification rule comprises:

The file class corresponding to each of the data files is determined according to a mapping relationship between the predetermined file extension and the file class.
The intelligent hardware device according to claim 1 or 2, wherein the preset type attribute information comprises sortable file attribute information, and the querying step comprises:

Responsive to the file query request with the file class sent by the user terminal, querying the data file corresponding to the file query request in the data file corresponding to the file class;

The queried data files are sorted according to the file attribute information corresponding to the queried data file, and the queried data file is fed back to the user terminal according to the sorting result.
The intelligent hardware device according to claim 1 or 2, wherein the preset type attribute information comprises a file call time point record, and/or a file modification time point record, and the query step comprises the following steps:

The time point record and/or the file modification time point record are called according to the file of each data file corresponding to each of the file classes, and the common data files corresponding to each of the file classes are respectively analyzed based on a predetermined common file analysis rule. Not commonly used data files;

Separating the pre-established mapping relationship between each of the file classes and the corresponding unusable data files, and pre-establishing a mapping relationship between each of the file classes and corresponding common data files;

Responding to a file query request with a file class sent by the user terminal, querying a common data file corresponding to the file query request from a common data file corresponding to the file class, and feeding back the commonly used data file to the query The user terminal.
The intelligent hardware device according to claim 4, wherein the predetermined common file analysis rule comprises:

Selection step: selecting a file class one by one, and after selecting a file class, calling a time point record and/or a file modification time point record according to the file of each data file corresponding to the selected file class, respectively calculating the corresponding file class corresponding The number of file calls and/or file modification times of each data file within a preset time;

The analyzing step: searching all the data files satisfying the first preset condition and/or the second preset condition in the data file corresponding to the selected file class, and using all the data files found as common data files, and The data file corresponding to the selected file class is a non-use data file other than the common data file, and the first preset condition is that the number of times the file is called in the preset time is greater than the first preset. The second preset condition is that the number of file modification times of the data file in the preset time is greater than the second preset number of times;

Judgment step: judging whether there is a file class that has not been selected, and when present, returning to continue performing the selecting step, and when not present, outputting all common data files and very useful data files.
The intelligent hardware device according to claim 1 or 2, wherein after the classifying step, the method further comprises:

Extracting one or more directory tags from a file directory of each of the data files according to a predetermined label extraction rule;

Separating the directory tags of each of the data files with the corresponding file class, and establishing a mapping relationship between the preset type attribute information of each data file and the directory label of the associated mapping, and preserving the file class and the data file. Set the mapping relationship between the type attribute information and the directory label;

Determining, in response to the file query request with the directory label and the file class sent by the user terminal, determining the query request according to the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label. The file type and the directory tag correspond to the preset type attribute information of each data file, and generate a file query result corresponding to the query request, and feed back the file query result to the user terminal.
The intelligent hardware device of claim 6, wherein the predetermined tag extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a lower directory node thereof Home directory node;

Determining the lowest-level shared directory node in each directory node branch, and the lowest-level shared directory node of one directory node branch refers to all lower-level sub-directory nodes common to other directory node branches and corresponding to the directory node branch Are not directory nodes of a common directory node;

Separating the node names of the lowest-level common directory nodes of each directory node branch and the corresponding node names of all the upper-level directory nodes, according to the position order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label of the corresponding directory node branch.
The intelligent hardware device of claim 6, wherein the predetermined tag extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a home directory of the lower directory node node;

Determining the i-th directory node in each directory node branch, where i is a positive integer greater than one;

Separating the node names of the i-th directory nodes of each directory node branch and the corresponding node names of all the corresponding directory nodes in the order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label for the corresponding directory node branch.
An intelligent hardware device, comprising: a memory and a processor, wherein the memory stores a disk data intelligent processing program, and the disk data intelligent processing program is executed by the processor to implement the following steps :

Scanning step: real-time or timing, or after receiving the data file processing instruction, scanning a file directory of the data file to obtain preset type attribute information of each data file, the data file is stored in the memory;

a sorting step: classifying all the data files according to preset attribute information of each of the data files and a predetermined file classification rule, and obtaining a plurality of file types;

Querying step: in response to a file query request with a file class sent by the user terminal, querying a data file corresponding to the file query request in a data file corresponding to the file class, and feeding back the queried data file to the User terminal.
A method for intelligently processing a disk data, which is applicable to an intelligent hardware device storing a data file, or an intelligent hardware device suitable for communicating with an electronic device storing the data file, wherein the method comprises the steps of:

Scanning step: scanning the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file, where the data file is stored in the smart hardware device or The electronic device in which the intelligent hardware device is communicatively connected;

a sorting step: classifying all the data files according to preset attribute information of each of the data files and a predetermined file classification rule, and obtaining a plurality of file types;

Querying step: in response to a file query request with a file class sent by the user terminal, querying a data file corresponding to the file query request in a data file corresponding to the file class, and feeding back the queried data file to the User terminal.
The disk data intelligent processing method according to claim 10, wherein the preset type attribute information comprises a file extension, and the predetermined file classification rule comprises:

The file class corresponding to each of the data files is determined according to a mapping relationship between the predetermined file extension and the file class.
The disk data intelligent processing method according to claim 10 or 11, wherein the preset type attribute information comprises sortable file attribute information, and the querying step comprises:

Responsive to the file query request with the file class sent by the user terminal, querying the data file corresponding to the file query request in the data file corresponding to the file class;

The queried data files are sorted according to the file attribute information corresponding to the queried data file, and the queried data file is fed back to the user terminal according to the sorting result.
The method for intelligently processing a disk data according to claim 10 or 11, wherein the preset type attribute information includes a file call time point record, and/or a file modification time point record, and the query step includes the following steps. :

The time point record and/or the file modification time point record are called according to the file of each data file corresponding to each of the file classes, and the common data files corresponding to each of the file classes are respectively analyzed based on a predetermined common file analysis rule. Not commonly used data files;

Separating the pre-established mapping relationship between each of the file classes and the corresponding unusable data files, and pre-establishing a mapping relationship between each of the file classes and corresponding common data files;

Responding to a file query request with a file class sent by the user terminal, querying a common data file corresponding to the file query request from a common data file corresponding to the file class, and feeding back the commonly used data file to the query The user terminal.
The disk data intelligent processing method according to claim 13, wherein the predetermined common file analysis rule comprises:

Selection step: selecting a file class one by one, and after selecting a file class, calling a time point record and/or a file modification time point record according to the file of each data file corresponding to the selected file class, respectively calculating the corresponding file class corresponding The number of file calls and/or file modification times of each data file within a preset time;

The analyzing step: searching all the data files satisfying the first preset condition and/or the second preset condition in the data file corresponding to the selected file class, and using all the data files found as common data files, and The data file corresponding to the selected file class is a non-use data file other than the common data file, and the first preset condition is that the number of times the file is called in the preset time is greater than the first preset. The second preset condition is that the number of file modification times of the data file in the preset time is greater than the second preset number of times;

Judgment step: judging whether there is a file class that has not been selected, and when present, returning to continue performing the selecting step, and when not present, outputting all common data files and very useful data files.
The method for processing disk data intelligently according to claim 10 or 11, wherein after the classifying step, the method further comprises:

Extracting one or more directory tags from a file directory of each of the data files according to a predetermined label extraction rule;

Separating the directory tags of each of the data files with the corresponding file class, and establishing a mapping relationship between the preset type attribute information of each data file and the directory label of the associated mapping, and preserving the file class and the data file. Set the mapping relationship between the type attribute information and the directory label;

Determining, in response to the file query request with the directory label and the file class sent by the user terminal, determining the query request according to the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label. The file type and the directory tag correspond to the preset type attribute information of each data file, and generate a file query result corresponding to the query request, and feed back the file query result to the user terminal.
The disk data intelligent processing method according to claim 15, wherein the predetermined label extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a lower directory node thereof Home directory node;

Determining the lowest-level shared directory node in each directory node branch, and the lowest-level shared directory node of one directory node branch refers to all lower-level sub-directory nodes common to other directory node branches and corresponding to the directory node branch Are not directory nodes of a common directory node;

Separating the node names of the lowest-level common directory nodes of each directory node branch and the corresponding node names of all the upper-level directory nodes, according to the position order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label of the corresponding directory node branch.
The disk data intelligent processing method according to claim 15, wherein the predetermined label extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a home directory of the lower directory node node;

Determining the i-th directory node in each directory node branch, where i is a positive integer greater than one;

Separating the node names of the i-th directory nodes of each directory node branch and the corresponding node names of all the corresponding directory nodes in the order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label for the corresponding directory node branch.
A computer readable storage medium, characterized in that the computer readable storage medium stores a disk data intelligent processing program, the disk data intelligent processing program being executable by at least one processor to cause the at least one processor Perform the following steps:

Scanning step: scanning the file directory of the data file in real time or timing, or after receiving the data file processing instruction, to obtain preset type attribute information of each data file, the data file being stored in communication with the intelligent hardware device Connected electronic device;

a sorting step: classifying all the data files according to preset attribute information of each of the data files and a predetermined file classification rule, and obtaining a plurality of file types;

Querying step: in response to a file query request with a file class sent by the user terminal, querying a data file corresponding to the file query request in a data file corresponding to the file class, and feeding back the queried data file to the User terminal.
The computer readable storage medium according to claim 18, wherein the preset type attribute information comprises a file extension, and the predetermined file classification rule comprises:

The file class corresponding to each of the data files is determined according to a mapping relationship between the predetermined file extension and the file class.
The computer readable storage medium according to claim 18 or 19, wherein the preset type attribute information comprises sortable file attribute information, and the querying step comprises:

Responsive to the file query request with the file class sent by the user terminal, querying the data file corresponding to the file query request in the data file corresponding to the file class;

The queried data files are sorted according to the file attribute information corresponding to the queried data file, and the queried data file is fed back to the user terminal according to the sorting result.
The computer readable storage medium according to claim 18 or 19, wherein the preset type attribute information comprises a file call time point record, and/or a file modification time point record, the query step comprising the following steps :

The time point record and/or the file modification time point record are called according to the file of each data file corresponding to each of the file classes, and the common data files corresponding to each of the file classes are respectively analyzed based on a predetermined common file analysis rule. Not commonly used data files;

Separating the pre-established mapping relationship between each of the file classes and the corresponding unusable data files, and pre-establishing a mapping relationship between each of the file classes and corresponding common data files;

Responding to a file query request with a file class sent by the user terminal, querying a common data file corresponding to the file query request from a common data file corresponding to the file class, and feeding back the commonly used data file to the query The user terminal.
The computer readable storage medium of claim 21, wherein the predetermined common file analysis rules comprise:

Selection step: selecting a file class one by one, and after selecting a file class, calling a time point record and/or a file modification time point record according to the file of each data file corresponding to the selected file class, respectively calculating the corresponding file class corresponding The number of file calls and/or file modification times of each data file within a preset time;

The analyzing step: searching all the data files satisfying the first preset condition and/or the second preset condition in the data file corresponding to the selected file class, and using all the data files found as common data files, and The data file corresponding to the selected file class is a non-use data file other than the common data file, and the first preset condition is that the number of times the file is called in the preset time is greater than the first preset. The second preset condition is that the number of file modification times of the data file in the preset time is greater than the second preset number of times;

Judgment step: judging whether there is a file class that has not been selected, and when present, returning to continue performing the selecting step, and when not present, outputting all common data files and very useful data files.
The computer readable storage medium according to claim 18 or 19, wherein after the classifying step, the method further comprises:

Extracting one or more directory tags from a file directory of each of the data files according to a predetermined label extraction rule;

Separating the directory tags of each of the data files with the corresponding file class, and establishing a mapping relationship between the preset type attribute information of each data file and the directory label of the associated mapping, and preserving the file class and the data file. Set the mapping relationship between the type attribute information and the directory label;

Determining, in response to the file query request with the directory label and the file class sent by the user terminal, determining the query request according to the mapping relationship between the file type, the preset type attribute information of the data file, and the directory label. The file type and the directory tag correspond to the preset type attribute information of each data file, and generate a file query result corresponding to the query request, and feed back the file query result to the user terminal.
The computer readable storage medium of claim 23, wherein the predetermined label extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a lower directory node thereof Home directory node;

Determining the lowest-level shared directory node in each directory node branch, and the lowest-level shared directory node of one directory node branch refers to all lower-level sub-directory nodes common to other directory node branches and corresponding to the directory node branch Are not directory nodes of a common directory node;

Separating the node names of the lowest-level common directory nodes of each directory node branch and the corresponding node names of all the upper-level directory nodes, according to the position order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label of the corresponding directory node branch.
The computer readable storage medium of claim 23, wherein the predetermined label extraction rule is:

Establishing a node tree for each directory node of the file directory, the node tree includes a plurality of directory node branches, each directory node branch includes a home directory node and a subdirectory node, and each of the upper directory nodes is a home directory of the lower directory node node;

Determining the i-th directory node in each directory node branch, where i is a positive integer greater than one;

Separating the node names of the i-th directory nodes of each directory node branch and the corresponding node names of all the corresponding directory nodes in the order of the corresponding directory node branches, respectively, to generate a combination name, where the combination name is The directory label for the corresponding directory node branch.