A buffer cleaning method for popular video software

Abstract

The invention discloses a buffer cleaning method for popular video software, which belongs to the technical field of buffer cleaning, and comprises the following steps: S1, creating a monitoring task; S2, recording the software use time; S3, detecting the commonly used software cache; S4, recording the terminal idle time; S5, sorting the cache files; S6, cleaning up the junk content; S7, cleaning up the trash bin; S8, repeating the task instruction; creating a detection task through a cloud background to monitor the mobile phone software in a targeted manner, without snooping into the user's mobile phone privacy, and by monitoring the time and the buffer file to compare and reasonably classify different software, the background monitoring tasks are balanced to the greatest extent, so that the monitoring program runs more stably, and the mobile phone software is not uniformly monitored, resulting in excessive pressure on the monitoring program, and the cache software is distinguished and sorted, and the mobile phone software cache file is protected when it is deleted to prevent accidental deletion, thereby protecting the user's interests to the greatest extent.

Description

Technical Field

[0001] The invention relates to the technical field of buffer cleaning, and in particular to a buffer cleaning method for hot video software. Background Art

[0002] With the development of science and technology, mobile phones have entered thousands of households as an indispensable communication tool. Due to the popularity of short videos, multiple video software often appear in mobile phones. In daily use, due to the seldom cleaning of software, there are often more software program caches, which slows down the information processing speed of the mobile phone and causes collection jams. In addition, manual operation has poor real-time performance, and users cannot distinguish the specific content that needs to be deleted, which may cause damage to the software and affect the use of mobile phones and software. Therefore, a buffer cleaning method for popular video software is needed to assist users in solving such problems. Summary of the invention

[0003] The purpose of the present invention is to provide a buffer cleaning method for popular video software, which can perform cache cleaning for different software more stably and quickly through real-time detection in the background, and reserve protection for the cleaning software to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a buffer cleaning method for hot video software, comprising the following steps:

[0005] S1. Create monitoring tasks: Select the internal programs of the mobile phone so that the program usage can be detected and recorded by the cloud background, and then issue a real-time detection task to the cloud background detection program so that the cloud background can detect the software usage and background cache status in turn;

[0006] S2. Record software usage time: Under the continuous detection of the cloud background, record the usage time of the mobile phone software used, mark and distinguish them in the cloud background, divide the levels according to different software, and create different detection tasks according to the usage time of different software;

[0007] S3. Check the cache of commonly used software. Check the software cache according to different detection tasks created for different software. Adjust the cache check frequency according to the different software usage time. Record feedback in time so that the cloud backend can re-classify different software according to the software cache size, so as to more effectively carry out reasonable detection and check allocation for different software cache situations.

[0008] S4. Recording the idle time of the terminal: Detect and record the usage time of the mobile phone every day, calculate the idle time of the mobile phone after a period of time, and perform reasonable detection on the internal software of the mobile phone during the idle time, so as not to occupy the normal usage time of the user's mobile phone terminal to the greatest extent;

[0009] S5. Arrange cache files: By arranging the caches of different software, creating an arrangement task bar, protecting the available caches, storing them separately in the protection folder, and dividing the remaining cached software again, so that the software cache files will not be too chaotic, which is convenient for long-term detection of the software cache as a whole;

[0010] S6. Clean up junk content: After working in the cloud background for a period of time, or when the software cache reaches a certain size, clean up and organize the junk files that have been integrated and divided in the cache, so that all junk caches are moved to the trash can in the folder format corresponding to the software name;

[0011] S7. Clean the Trash: The Trash will provide time protection for internal cache files to prevent accidental deletion of files. At the same time, the cache information entering the Trash will be recorded and uploaded to facilitate users to view the cache information in the Trash. The cache information retained in the Trash will be cleaned and deleted after one message.

[0012] S8. Repeat task instructions: After a round of detection and cleaning is completed, a new round of monitoring tasks will be carried out again. The tasks can be quickly adjusted according to the recent user usage of the software, and can better adapt to different time periods and users' adaptation to different software.

[0013] Preferably, the monitoring software in the S1 step needs to be selected in advance, and the cloud background program will not monitor other non-selected software in the mobile phone, thereby ensuring the privacy and security of the user's mobile phone to the greatest extent. At the same time, the monitoring task will record the software usage and cache status, and strengthen or weaken the monitoring status according to different usage conditions, so that the cloud background can process different software more stably and efficiently.

[0014] Preferably, in the S2 step, different software are marked and divided according to their usage time, and the levels are divided into three usage levels: high, medium and low. The cloud background detection program will perform detection in sequence according to the high, medium and low levels, and adjust the detection frequency in a targeted manner to ensure the rationality of each software detection task of the mobile terminal to the greatest extent.

[0015] Preferably, the monitoring program in step S4 records the user's daily use of the mobile phone within a monitoring cycle, quickly obtains the mobile phone's idle time, and uses the mobile phone's long idle time to process cache files on the mobile phone, which will not conflict with the user's mobile phone usage time and affect the user's use.

[0016] Preferably, the trash can in the S7 step is an independent program in the cloud background, which can independently protect the trash cache information after the trash cache is cleaned until the next monitoring cycle begins. After the new cache file enters the trash can, the trash cache information of the original software will be deleted, and different frequencies of deletion are performed for different task programs, so that the cloud background can monitor the software more stably and efficiently.

[0017] Preferably, in step S8, the next monitoring cycle will be entered directly after the previous monitoring cycle is completed, and the tasks created in the previous monitoring cycle will be updated to adapt to new information changes.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. The present invention creates detection tasks in the cloud background to monitor mobile phone software in a targeted manner, will not snoop on the user's mobile phone privacy, protect user information, and compare and reasonably grade different software by monitoring the duration and buffer files, thereby balancing the background monitoring tasks to the greatest extent, making the monitoring program run more stably, and will not uniformly monitor mobile phone software, causing excessive pressure on the monitoring program.

[0020] 2. The present invention distinguishes and organizes cached software to facilitate long-term monitoring and organization of software, and protects mobile phone software cache files when they are deleted to prevent accidental deletion, thereby protecting user interests to the greatest extent. At the same time, the cloud background monitoring and processing tasks are quickly adjusted according to different situations of mobile phone software, and cache files are processed in a dispersed and batch manner, making the cloud background monitoring tasks more efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The figure is a flow chart of the method 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] Please participate Figure 1The present invention provides: a buffer cleaning method for hot video software, comprising the following steps: S1, creating a monitoring task: selecting the program inside the mobile phone, so that the program usage can be detected by the cloud background and recorded, and then issuing a real-time detection task to the cloud background detection program, so that the cloud background can detect the software usage and background cache status in turn, the monitoring software needs to be selected in advance, the cloud background program will not monitor other non-selected software in the mobile phone, and the privacy security of the user's mobile phone is guaranteed to the greatest extent. At the same time, the monitoring task will record the software usage and cache status, strengthen or weaken the monitoring state according to the different usage conditions, so that the cloud background can process different software more stably and efficiently, and the created monitoring software has a running cycle of one week;

[0024] S2. Record software usage time: Under the continuous detection of the cloud background, record the usage time of the mobile phone software used, mark and distinguish in the cloud background, divide the levels according to different software, create different detection tasks according to the usage time of different software, mark and divide according to the usage time of different software, and divide the levels into three usage levels: high, medium and low. The cloud background detection program will detect in sequence according to the high, medium and low levels, and adjust the detection frequency in a targeted manner to ensure the rationalization of each software detection task of the mobile terminal to the greatest extent. In one operation cycle, the high-level monitoring frequency is once a day, the medium-level detection frequency is once every three days, and the low-level detection frequency is once a week;

[0025] S3. Detect commonly used software caches, check the software caches according to different detection tasks created for different software, adjust the cache check frequency according to the different software usage time, and record feedback in time, so that the cloud background can re-classify different software according to the software cache size, so as to more effectively perform reasonable detection and check allocation for different software cache situations, record and check software caches of different levels, and record feedback for different cache situations. Due to the different cache situations of different software, it may cause the usage time to be short but the cache file to be large, or the software to be used for a long time but the cache file to be small. After receiving the feedback information, the background monitoring program summarizes the software usage time and cache size, and compares them to quickly classify the software situation and adjust the monitoring tasks;

[0026] S4. Recording the idle time of the terminal: Detect and record the usage time of the mobile phone every day, calculate the idle time of the mobile phone after a period of time, and perform reasonable detection on the internal software of the mobile phone during the idle time, so as not to occupy the normal use time of the user's mobile phone terminal to the greatest extent. The monitoring program will record the daily use of the mobile phone by the user within a monitoring cycle, quickly obtain the idle time of the mobile phone, and use the long idle time of the mobile phone to process the cache files of the mobile phone, which will not conflict with the user's use time of the mobile phone and affect the user's use;

[0027] S5. Arrange cache files: By arranging caches of different software and creating an arrangement task bar, the available caches are protected and stored separately in the protection folder. The remaining cache software is divided again so that the software cache files will not be too chaotic, which is convenient for long-term detection of the software cache as a whole. According to the new monitoring task, the cache files are detected and arranged in batches. A new task folder is added to the task folder of the software itself, and the software information and cache information are stored separately, so that the later cache software can directly enter the cache folder, which is convenient for later monitoring. The cache information inside the cache file is distinguished, and the larger files, the cache that has not been used for a long time, and the junk cache information are distinguished again;

[0028] S6. Clean up junk content: After working in the cloud background for a period of time, or when the software cache reaches a certain size, the junk files in the cache are cleaned up and sorted, so that all junk caches are moved to the trash bin in the folder format of the corresponding software name. After the monitoring program runs to a cycle, the junk buffer information in the cache information is deleted, and the software with a large cache within the monitoring cycle is cleaned up independently;

[0029] S7. Clean the trash bin: The trash bin will provide time protection for internal cache files to prevent accidental deletion of files. At the same time, the cache information entering the trash bin will be recorded and uploaded, so that users can view the cache information inside the trash bin. The cache information retained in the trash bin will be cleaned and deleted after one message. The trash bin is an independent program in the cloud background. After the garbage cache is cleaned, it can independently protect the garbage cache information until the next monitoring cycle begins. When the new cache file enters the trash bin, the garbage cache information of the original software will be deleted. Different frequencies are deleted for different task programs, so that the cloud background can monitor the software more stably and efficiently.

[0030] S8. Repeat task instructions: After a round of detection and cleaning is completed, a new round of monitoring tasks will be carried out again. The tasks can be quickly adjusted according to the recent use of the software by users, and can better adapt to different time periods and users' adaptability to different software. After the previous monitoring cycle is completed, it will directly enter the next monitoring cycle and update the tasks created in the last monitoring cycle to adapt to new information changes.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A buffer cleaning method for hot video software, characterized in that: The following steps are involved: S1. Create monitoring tasks: Select the internal programs of the mobile phone so that the program usage can be detected and recorded by the cloud background, and then issue a real-time detection task to the cloud background detection program so that the cloud background can detect the software usage and background cache status in turn; S2. Record software usage time: Under the continuous detection of the cloud background, record the usage time of the mobile phone software used, mark and distinguish them in the cloud background, divide the levels according to different software, and create different detection tasks according to the usage time of different software; S3. Check the cache of commonly used software. Check the software cache according to different detection tasks created for different software. Adjust the cache check frequency according to the different software usage time. Record feedback in time so that the cloud backend can re-classify different software according to the software cache size, so as to more effectively carry out reasonable detection and check allocation for different software cache situations. S4. Recording the idle time of the terminal: Detect and record the usage time of the mobile phone every day, calculate the idle time of the mobile phone after a period of time, and perform reasonable detection on the internal software of the mobile phone during the idle time, so as not to occupy the normal usage time of the user's mobile phone terminal to the greatest extent; S5. Arrange cache files: By arranging the caches of different software, creating an arrangement task bar, protecting the available caches, storing them separately in the protection folder, and dividing the remaining cached software again, so that the software cache files will not be too chaotic, which is convenient for long-term detection and arrangement of software caches; S6. Clean up junk content: After working in the cloud background for a period of time, or when the software cache reaches a certain size, clean up and organize the junk files that have been integrated and divided in the cache, so that all junk caches are moved to the trash can in the folder format corresponding to the software name; S7. Clean the Trash: The Trash will provide time protection for internal cache files to prevent accidental deletion of files. At the same time, the cache information entering the Trash will be recorded and uploaded to facilitate users to view the cache information in the Trash. The cache information retained in the Trash will be cleaned and deleted after one message. S8. Repeat task instructions: After a round of detection and cleaning is completed, a new round of monitoring tasks will be carried out again. The tasks can be quickly adjusted according to the recent user usage of the software, and can better adapt to different time periods and users' adaptation to different software.

2. A buffer cleaning method for hot video software according to claim 1, characterized in that: In the S1 step, the monitoring software needs to be selected in advance. The cloud background program will not monitor other non-selected software in the mobile phone, thereby ensuring the privacy and security of the user's mobile phone to the greatest extent. At the same time, the monitoring task will record the software usage and cache status, and strengthen or weaken the monitoring status according to different usage conditions, so that the cloud background can handle different software more stably and efficiently.

3. A buffer cleaning method for hot video software according to claim 1, characterized in that: In the step S2, different software are marked and divided according to their usage time, and the levels are high, medium and low. The cloud background detection program will detect them in sequence according to the high, medium and low levels, and adjust the detection frequency in a targeted manner to ensure the rationality of each software detection task on the mobile terminal to the greatest extent.

4. A buffer cleaning method for hot video software according to claim 1, characterized in that: In step S4, the monitoring program will record the user's daily use of the mobile phone within a monitoring cycle, quickly obtain the mobile phone's idle time, and use the long idle time of the mobile phone to process cache files on the mobile phone, which will not conflict with the user's mobile phone usage time and affect the user's use.

5. A buffer cleaning method for hot video software according to claim 1, characterized in that: In the S7 step, the trash can is an independent program in the cloud background. After the trash cache is cleaned, it can independently protect the trash cache information until the next monitoring cycle begins. When the new cache file enters the trash can, the trash cache information of the original software will be deleted. Different frequencies of deletion are performed for different task programs, so that the cloud background can monitor the software more stably and efficiently.

6. A buffer cleaning method for hot video software according to claim 1, characterized in that: In the step S8, after the last monitoring cycle is completed, the next monitoring cycle will be directly entered, and the tasks created in the last monitoring cycle will be updated to adapt to new information changes.

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