Digital information batch processing method

Through the batch processing of digital information, the unimportant data in the mobile phone memory is automatically deleted, which solves the problem of excessive memory usage of mobile phones and improves the performance and user experience of mobile phones.

CN120010766APending Publication Date: 2025-05-16SHIJIAZHUANG LINGYU TECH CO LTD
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Patent Information

Application Number
CN202411953408.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-05
Publication Date
2025-05-16

AI Technical Summary

Technical Problem

The high memory usage of mobile phones leads to degraded mobile phone performance and poor user experience, and the existing technology is difficult to effectively solve this problem.

Method used

Provide a batch processing method of digital information. Through the data information batch processing system, it regularly scans mobile phone memory, collects files and data information, organizes and filters, and automatically deletes files and data information that do not meet certain standards, including first-level and second-level screening standards.

Benefits of technology

It automatically deletes unimportant data in the mobile phone memory, keeps the mobile phone slimming, avoids memory bloat and fullness, and improves the mobile phone performance and user experience.

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Abstract

The invention discloses a digital information batch processing method which comprises the following steps: S1, when the occupancy rate of a mobile phone memory reaches 70%, starting a data information batch processing system, regularly scanning the mobile phone memory, and collecting files and data information in the memory; s2, acquiring the collected file and data information, and sorting the file and data information; s3, scanning the files one by one, formulating a first-level screening standard, and deleting the files and data information which do not reach the first-level standard; and S4, when the memory occupancy rate of the mobile phone reaches 90%, further formulating a secondary screening standard, deleting files and data information which do not reach the secondary screening standard, and meanwhile, retaining the files and data information which reach the secondary screening standard, even if the memory of the mobile phone is full, the method has the characteristics of high practicability and improvement of user experience.
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Description

Technical Field

[0001] The invention relates to the technical field of digital information processing, in particular to a digital information batch processing method. Background Art

[0002] With the popularity of mobile devices and the increasing demand for digital information storage, mobile phone memory capacity has become an important issue for users. In the process of using mobile phones, users will store a large amount of digital information such as files, photos, videos, etc., resulting in excessive memory usage, which affects the performance of the phone and user experience. At present, users need to clean up the memory regularly, but the memory will be full again soon after cleaning, which brings inconvenience and trouble to users. Therefore, it is necessary to design a digital information batch processing method that is highly practical and improves user experience. Summary of the invention

[0003] The purpose of the present invention is to provide a method for batch processing of digital information to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for batch processing of digital information, comprising the following steps:

[0005] Step S1, when the mobile phone memory occupancy rate reaches 70%, the data information batch processing system starts, regularly scans the mobile phone memory, and collects files and data information in the memory;

[0006] Step S2: Obtain the collected files and data information, and organize the files and data information;

[0007] Step S3, scanning the files one by one, formulating the first-level screening standards, and deleting the files and data information that do not meet the first-level standards;

[0008] Step S4: When the mobile phone memory occupancy rate reaches 90%, a secondary screening standard is further formulated to delete files and data information that do not meet the secondary screening standard. At the same time, files and data information that meet the secondary screening standard are retained, even if the mobile phone memory is full.

[0009] According to the above technical solution, step S1 further includes: the system module is responsible for regularly scanning the mobile phone memory, traversing the folders and files in the memory, collecting relevant information of the files, and for each file, collecting the file's attributes, content, download time, usage frequency, and last modification time.

[0010] According to the above technical solution, the sorting method in step S2 is:

[0011] The file attributes are used to record the file name for file identification and subsequent operations, file size, and file type. For specific file types, the download time information is then extracted from the file's metadata. The file's usage frequency is then counted, and the number of times the file is opened or called is recorded. Finally, the last modification time information is extracted from the file's metadata for subsequent judgment of the amount of information displayed on the file.

[0012] According to the above technical solution, the primary screening criteria in step S3 are: no duplicate or highly similar files, and no useless files left over from historical operations.

[0013] According to the above technical solution, the analysis and judgment method for duplicate or highly similar files is as follows:

[0014] According to the file type, for different types of files, the feature information of the file is extracted. For text files, keywords or word vector representations are extracted; for image files, color histograms and image feature vectors are extracted; and for audio files, audio fingerprints are extracted;

[0015] Then, the file features are compared and similar, and their similarities are matched to calculate the similarity value S between the files. Under the first-level screening standard, the system adopts the similarity standard value S0 in the preset screening standard given by the data during the sorting process in combination with the file and data information in step S2. When S>S0, it is judged as a file with high similarity. If S=100%, it means that there are duplicate files.

[0016] According to the above technical solution, the method for judging useless files left over from historical operations is as follows: judging according to the file download time, and judging the files with earlier download time in the historical files as useless files according to the data sorting in step S2, wherein the size of the data deleted at a single time must meet the requirement of accounting for more than 20% of the total amount of deletable data, and must not be higher than 30%. During the deletion process, the amount of deletion that falls into this interval is used as the standard to avoid excessive deletion of files, which may result in the files being deleted when the user wants to retrieve them, and to avoid deleting too few files, which may have little effect on batch processing of data information.

[0017] According to the above technical solution, the download time of the useless file is judged to have a conflicting standard. When the conflicting standard is met, it is directly marked as a useful file. The conflicting standard includes: running system type files and important data, and the method for judging important data is: the average single call time t and the cumulative number of calls c of the corresponding file, and the important value Z is calculated by Z=α·t+β·c, α and β are the control parameters of the average single call time t and the cumulative number of calls c respectively; similarly, after calculating the important value Z, the system adopts the importance standard value Z0 in the preset screening standard given by the data during the sorting process in combination with the file and data information in step S2. When Z>Z0, it is judged as important data, which conflicts with the judgment of useless files and is not within the screening range.

[0018] According to the above technical solution, in step S4, the method for judging the secondary screening standard is: obtaining the file size, setting a secondary judgment threshold u of a unified file size, the threshold u is proportionally adjusted according to the current total memory of the mobile phone, and when the file size is greater than the threshold u, the file type information is identified again, and when the file type is a non-video type, the last opening or last modification time of the scanned file is obtained, and when the last opening or last modification time is greater than 30 days, a query notification is sent to the user, and the user feedbacks the compliance of the file with the secondary screening standard, and when the file type is a video type, the video content is further parsed, and the video content is framed and compared. If the framed images with a comparison similarity greater than 90% are higher than 30%, the video file is compressed for a similarity time period to save the memory occupied by the video, otherwise it is judged that the secondary screening standard is met.

[0019] Compared with the prior art, the beneficial effects achieved by the present invention are: through the digital information batch processing method of the present invention, unimportant data in the mobile phone memory can be automatically deleted, the mobile phone can be kept slim, and the memory bloat and fullness can be avoided. The method takes into account multiple automatic deletion standards and important data judgments, ensuring the accuracy and security of deletion. At the same time, files with importance above the minimum standard are retained to ensure the security and availability of the user's important data. This method can improve the performance and user experience of the mobile phone and provide users with better digital information management functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0021] Figure 1 A flowchart of the operation steps of a digital information batch processing method provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Figure 1 This is a flow chart of the operation steps of a digital information batch processing method provided in the first embodiment of the present invention. This embodiment can be applied to the digital information batch processing during the use of a mobile phone. The method can be executed by a digital information batch processing system provided in the embodiment of the present invention. Figure 1 As shown, the method specifically comprises the following steps:

[0024] S1. When the mobile phone memory usage reaches 70%, the data information batch processing system starts, regularly scans the mobile phone memory, and collects files and data information in the memory;

[0025] Exemplarily, in an embodiment of the present invention, the system module is responsible for periodically scanning the mobile phone memory, traversing the folders and files in the memory, and collecting relevant information of the files. For each file, the file's attributes, content, download time, usage frequency, and last modification time are collected, thereby realizing the function of all-round collection of mobile phone memory data information.

[0026] S2. Obtain the collected files and data information and organize the files and data information;

[0027] Exemplarily, in an embodiment of the present invention, the collected files and data information are sorted, and the file name is recorded through the file attributes for file identification and subsequent operations, file size, and file type. For specific file types, such as text files, pictures, videos, etc., the file content is identified according to its file header information or suffix name, and then the download time information is extracted from the file metadata, and then the file usage frequency is counted, and the number of times the file is opened or called is recorded. Finally, the last modification time information is extracted from the file metadata for subsequent judgment of the file display information volume. The files and data information collected by the mobile phone in step S1 are sorted and judged under multiple categories such as attributes, content, download time, usage frequency, and last modification time, so as to quickly understand the current mobile phone memory file status, obtain the average value, median, etc. under each category, and then the system adopts the data to formulate preset screening standards.

[0028] S3. Scan the files one by one, formulate the first-level screening standards, and delete the files and data information that do not meet the first-level standards;

[0029] In the embodiment of the present invention, the first-level screening criteria are: no duplicate or highly similar files, and no useless files left over from historical operations.

[0030] The analysis and judgment method for duplicate or highly similar files is as follows: according to the file type, for different types of files, the feature information of the files is extracted, wherein the text files extract keywords or word vector representations, the image files extract color histograms and image feature vectors, and the audio files extract audio fingerprints. Then, the file features are compared and the similarities and similarities are matched with each other to calculate the similarity value S between the files. Under the primary screening standard, the system adopts the similarity standard value S0 in the preset screening standard given by the data during the sorting of the file and data information in step S2. When S>S0, it is judged as a file with high similarity. If S=100%, it means that there are duplicate files.

[0031] The method for judging useless files left over from historical operations is as follows: judging according to the file download time, judging the files with earlier download time in the historical files as useless files according to the data sorting in step S2, wherein the size of the data deleted at a single time must meet the requirement of accounting for more than 20% of the total amount of data that can be deleted, and not higher than 30%. During the deletion process, the deletion amount that falls into this interval is used as the standard to avoid excessive file deletion, which may result in the file being deleted when the user wants to retrieve it, and to avoid the situation where too few files are deleted and the effect of batch processing of data information is not great. Among them, there is a conflicting standard for judging the download time of useless files. When the conflicting standard is met, it is directly marked as a useful file. The conflicting standard includes: operating system type files and important data, and the method for judging important data is: the average single call time t and the cumulative number of calls c of the corresponding files, and the important value Z is calculated by Z=α·t+β·c, where α and β are the control parameters of the average single call time t and the cumulative number of calls c, respectively. Similarly, after calculating the importance value Z, the system adopts the importance standard value Z0 in the preset screening standard given by the data during the sorting process in combination with the file and data information in step S2. When Z>Z0, it is judged as important data, which conflicts with the judgment of useless files and is not within the screening range.

[0032] Through the first-level screening criteria, files and data information with high similarity, long download time and almost no use can be screened out and automatically deleted, so as to keep the phone slim and avoid invalid data taking up a large amount of memory, increasing user costs and reducing user experience.

[0033] S4. When the mobile phone memory usage rate reaches 90%, further secondary screening criteria are formulated to delete files and data information that do not meet the secondary screening criteria, and at the same time, retain files and data information that meet the secondary screening criteria, even if the mobile phone memory is full;

[0034] Exemplarily, in an embodiment of the present invention, the method for judging the secondary screening standard is: obtaining the file size, setting the secondary judgment threshold u of the unified file size, the threshold u is proportionally adjusted according to the current total memory of the mobile phone, when the file size is greater than the threshold u, then identifying the file type information, when the file type is non-video type, obtaining the last opening or last modification time of the scanned file, when the last opening or last modification time is greater than 30 days, then sending a query notification to the user, and the user feedbacks the compliance of the file with the secondary screening standard, when the file type is video type, then further parsing the video content, extracting and comparing the video content, if the extraction picture with a comparison similarity greater than 90% is higher than 30%, then the video file is compressed in the similarity time period to save the video memory, otherwise it is judged that the secondary screening standard is reached. Then, when the mobile phone memory is seriously insufficient and all meet the primary screening standards, the purpose of deeper screening and streamlining memory is achieved, and the method takes into account multiple automatic deletion standards and important data judgments to ensure the accuracy and security of deletion. At the same time, files with importance above the minimum standard are retained to ensure the safety and availability of important user data. This approach can improve the performance and user experience of mobile phones and provide users with better digital information management functions.

[0035] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0036] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for batch processing of digital information, characterized in that: The method comprises the following steps: Step S1, when the mobile phone memory occupancy rate reaches 70%, the data information batch processing system starts, regularly scans the mobile phone memory, and collects files and data information in the memory; Step S2: Obtain the collected files and data information, and organize the files and data information; Step S3, scanning the files one by one, formulating the first-level screening standards, and deleting the files and data information that do not meet the first-level standards; Step S4, when the mobile phone memory occupancy rate reaches 90%, further secondary screening criteria are formulated, and files and data information that do not meet the secondary screening criteria are deleted. At the same time, files and data information that meet the secondary screening criteria are retained, even if the mobile phone memory is full; In the step S4, the method for judging the secondary screening standard is as follows: obtaining the file size, setting a secondary judgment threshold u of a unified file size, the threshold u is proportionally adjusted according to the current total memory of the mobile phone, and when the file size is greater than the threshold u, the file type information is identified again, and when the file type is a non-video type, the last opening or last modification time of the scanned file is obtained, and when the last opening or last modification time is greater than 30 days, a query notification is sent to the user, and the user feedbacks the compliance of the file with the secondary screening standard, and when the file type is a video type, the video content is further parsed, and the video content is framed and compared. If the framed images with a comparison similarity greater than 90% are higher than 30%, the video file is compressed for a similarity time period to save the memory occupied by the video, otherwise it is judged that the secondary screening standard is met.

2. A method for batch processing of digital information according to claim 1, characterized in that: The primary screening criteria in step S3 are: no duplicate or highly similar files, and no useless files left over from historical operations.

3. A method for batch processing of digital information according to claim 2, characterized in that: The analysis and judgment methods for duplicate or highly similar files are as follows: According to the file type, for different types of files, the feature information of the file is extracted. For text files, keywords or word vector representations are extracted; for image files, color histograms and image feature vectors are extracted; and for audio files, audio fingerprints are extracted; Then, the file features are compared and similar, and their similarities are matched to calculate the similarity value S between the files. Under the first-level screening standard, the system adopts the similarity standard value S0 in the preset screening standard given by the data during the sorting process in combination with the file and data information in step S2. When S>S0, it is judged as a file with high similarity. If S=100%, it means that there are duplicate files.

4. A method for batch processing of digital information according to claim 3, characterized in that: The method for judging useless files left over from historical operations is as follows: judging according to the file download time, and judging the files with earlier download time in the historical files as useless files according to the data sorting in step S2, wherein the size of the data deleted at a single time must meet the requirement of accounting for more than 20% of the total deletable data volume, and must not be higher than 30%. During the deletion process, the deletion volume that falls within 20% to 30% of the total deletable data volume is prioritized as the standard, so as to avoid excessive deletion of files, which may result in the files being deleted when the user wants to retrieve them, and to avoid deleting too few files, which may have little effect on the batch processing of data information.

5. A method for batch processing of digital information according to claim 4, characterized in that: There are conflicting standards for judging the download time of useless files. When the conflicting standards are met, they are directly marked as useful files. The conflicting standards include: running system type files and important data, and the method for judging important data is: the average single call time t and the cumulative number of calls c of the corresponding files, and the important value Z is calculated by Z=α·t+β·c, α and β are the control parameters of the average single call time t and the cumulative number of calls c respectively; similarly, after calculating the important value Z, the system adopts the importance standard value Z0 in the preset screening standard given by the data during the sorting process in combination with the file and data information in step S2. When Z>Z0, it is judged as important data, which conflicts with the judgment of useless files and is not within the screening range.