CN112148560A - Mobile phone cleaning optimization system based on cloud - Google Patents
Mobile phone cleaning optimization system based on cloud Download PDFInfo
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- CN112148560A CN112148560A CN202010987226.0A CN202010987226A CN112148560A CN 112148560 A CN112148560 A CN 112148560A CN 202010987226 A CN202010987226 A CN 202010987226A CN 112148560 A CN112148560 A CN 112148560A
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- 238000005457 optimization Methods 0.000 title claims abstract description 93
- 238000004140 cleaning Methods 0.000 title claims abstract description 44
- 230000010354 integration Effects 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 8
- 206010000117 Abnormal behaviour Diseases 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000009826 distribution Methods 0.000 claims description 3
- 238000013499 data model Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/217—Database tuning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
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Abstract
The invention discloses a cloud-based mobile phone cleaning optimization system, which comprises: the system comprises a client, a server and a cloud database, wherein the client is provided with a mobile phone cleaning optimization application type APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning optimization application type APP is respectively connected with the real-time data acquisition module and the matching optimization module, the real-time data acquisition module and the matching optimization module are both connected with the cloud database, and the real-time data acquisition module is connected with the matching optimization module; the invention provides different optimization schemes for each mobile phone, determines whether the user needs to optimize according to the current different environments and configurations of the mobile phone, avoids useless operation, completes the whole big data model at the server side, and only executes the mobile phone equipment of the user, thereby greatly reducing the performance dependence of the traditional cleaning optimization scheme on the user equipment and the problem of occupying the mobile phone resources, and really solving the problem of low operation speed of the mobile phone of the user.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a mobile phone cleaning optimization system based on a cloud.
Background
Traditional clearance optimization technique all accomplishes alone at the client, when the user finds the cell-phone card and pauses, go to use clearance optimization function, but user's cell-phone configuration, the installation application volume all is different, no matter how user's cell-phone configuration, whether the performance is not enough, whether have enough disk space to supply the cell-phone to use, all need the user to clear up, in fact continuous useless clearance and memory are optimized, all will cause the wasting of resources to user's equipment, not only be difficult to real solution performance problem, can let the cell-phone become more card and pause even.
Therefore, the traditional discordant cleaning optimization scheme cannot meet the requirements of all users at all, and cannot make a differential optimization scheme for each user and each mobile phone.
How to provide different mobile phone cleaning optimization schemes aiming at the use conditions of mobile phones of different users is a problem which needs to be solved urgently by technical personnel in the field.
Disclosure of Invention
In view of the above, the invention provides a cloud-based mobile phone cleaning optimization system, which can provide a more accurate mobile phone cleaning scheme for the use conditions of mobile phones of different users, has strong practicability, and can perform real-time protection.
In order to achieve the purpose, the invention adopts the following technical scheme:
a mobile phone cleaning optimization system based on a cloud comprises: the system comprises a client, a server and a cloud database, wherein the client is provided with a mobile phone cleaning optimization application type APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning optimization application type APP is respectively connected with the real-time data acquisition module and the matching optimization module, the real-time data acquisition module and the matching optimization module are both connected with the cloud database, and the real-time data acquisition module is connected with the matching optimization module;
the real-time data acquisition module is used for acquiring real-time data of current mobile phone equipment of different users acquired by the mobile phone cleaning optimization application APP in real time;
the matching optimization module is used for calculating according to the real-time data and the mobile phone performance data prestored in the cloud server, matching an optimization strategy of the current user mobile phone and feeding the optimization strategy back to the mobile phone cleaning optimization application type APP;
the cloud database is used for storing real-time data and mobile phone performance data;
and the mobile phone cleaning optimization application APP is used for cleaning optimization according to the optimization strategy.
Further, the server further comprises a data integration module, wherein the data integration module is respectively connected with the matching optimization module, the mobile phone cleaning optimization application type APP and the cloud database and is used for integrating various data, including but not limited to a mobile phone performance change curve, a disk space occupation curve and a software installation application record.
Furthermore, the server also comprises an abnormal behavior monitoring module which is respectively connected with the real-time data acquisition module, the matching optimization module and the data integration module and is used for monitoring abnormal data.
Further, the real-time data includes, but is not limited to, basic information of the mobile phone device, the current user application amount, the usage application time distribution of the user, and applications frequently used by the user.
Further, the mobile phone performance data includes, but is not limited to, mobile phone configurations of different models, performance indexes, and memory ratios of software.
According to the technical scheme, compared with the prior art, the cloud-based mobile phone cleaning optimization system is provided, different optimization schemes are provided for each mobile phone, whether a user needs to optimize or not is determined according to the current different environments and configurations of the mobile phone, useless operation is avoided, the whole big data model is completed at a server, the mobile phone equipment of the user is only in an execution stage, the performance dependence of the traditional cleaning optimization scheme on the user equipment is greatly reduced, the problem of occupation of mobile phone resources is solved, and the problem of low operation speed of the mobile phone of the user is really solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a block diagram of a cloud-based mobile phone cleaning optimization system in embodiment 1.
Fig. 2 is a block diagram of a cloud-based mobile phone cleaning optimization system in embodiment 2.
Fig. 3 is a block diagram of a cloud-based mobile phone cleaning optimization system in embodiment 3.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Embodiment 1, a mobile phone clearance optimizing system based on high in clouds includes: the system comprises a client, a server and a cloud database, wherein the client is provided with a mobile phone cleaning optimization application type APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning optimization application type APP is respectively connected with the real-time data acquisition module and the matching optimization module, the real-time data acquisition module and the matching optimization module are both connected with the cloud database, and the real-time data acquisition module is connected with the matching optimization module;
the real-time data acquisition module is used for acquiring real-time data of current mobile phone equipment of different users acquired by the mobile phone cleaning optimization application APP in real time;
the matching optimization module is used for performing comparison calculation according to the real-time data and mobile phone performance data prestored in the cloud server, matching the optimal optimization strategy of the current mobile phone and feeding back the optimal optimization strategy to the mobile phone cleaning optimization application APP;
the cloud database is used for storing real-time data and mobile phone performance data;
the mobile phone cleaning optimization application APP is used for cleaning optimization according to the optimization strategy.
The real-time data includes but is not limited to basic information of the mobile phone device, the current application amount of the user, the time distribution of the user application and the applications frequently used by the user. The mobile phone performance data includes, but is not limited to, mobile phone configurations of different models, performance indexes, and memory ratios of software.
For example: the method can match a special function scheme according to the type and the quantity of software installed on the mobile phone of the user, when the matching optimization module detects that the user does not install the WeChat according to the real-time data, the function of 'WeChat special clear' is not provided for the user, and if the user is detected that the game software is not installed, the function of accelerating the game is not provided for the user.
Embodiment 2, a cell-phone clearance optimization system based on high in clouds still includes the data integration module, and the data integration module is connected with matching optimization module, cell-phone clearance optimization application type APP and high in the clouds database respectively for integrate each item data, including but not limited to cell-phone performance variation curve, disk space occupation curve and software installation application record.
The specific process is that the data integration module integrates data sent by the cloud database, the integrated data are sent to the matching optimization module and then recommended to a user cleaning optimization scheme, and meanwhile, the data integration module sends the integrated data to the mobile phone cleaning optimization application APP for data display.
For example: when the situation that the mobile phone is of a certain model is counted, 80% of users can be blocked when the disk space is lower than 1GB, the disk storage threshold value of the mobile phone of the certain model is stored in a cloud database in advance, the disk space occupation curve is counted in real time by a data integration module and is sent to a matching optimization module, and when the matching optimization module finds that the disk space occupation curve is close to the threshold value, the users are reminded of optimizing the disk space, and the solution for providing customized demands and optimization schemes for different users is achieved.
Embodiment 3, a mobile phone clearance optimization system based on high in clouds still includes unusual action monitoring module, is connected with real-time data acquisition module, matches optimization module and data integration module respectively and is used for monitoring unusual data.
The specific flow is that when the real-time data collected by the real-time data collection module is transmitted to the abnormal behavior monitoring module, the abnormal behavior monitoring module compares the real-time data with the integrated data transmitted by the data integration module, if the abnormal data is found, the abnormal data is immediately sent to the matching optimization module, and the matching optimization module gives an optimal cleaning scheme.
For example: the user has installed software A, and unusual behavior monitoring module finds user's cell-phone power consumption, obvious consumption of memory through the contrast, and the matching optimization module can indicate the user, uses A to cause the mobile phone to be tired, whether needs the uninstallation, really accomplishes to provide the customization demand solution for the user according to the cell-phone condition in real time.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. The utility model provides a cell-phone clearance optimization system based on high in clouds which characterized in that includes: the system comprises a client, a server and a cloud database, wherein the client is provided with a mobile phone cleaning optimization application type APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning optimization application type APP is respectively connected with the real-time data acquisition module and the matching optimization module, the real-time data acquisition module and the matching optimization module are both connected with the cloud database, and the real-time data acquisition module is connected with the matching optimization module;
the real-time data acquisition module is used for acquiring real-time data of current mobile phone equipment of different users acquired by the mobile phone cleaning optimization application APP in real time;
the matching optimization module is used for calculating according to the real-time data and the mobile phone performance data prestored in the cloud server, matching an optimization strategy of the current user mobile phone and feeding the optimization strategy back to the mobile phone cleaning optimization application type APP;
the cloud database is used for storing real-time data and mobile phone performance data;
and the mobile phone cleaning optimization application APP is used for cleaning optimization according to the optimization strategy.
2. The cloud-based mobile phone cleaning optimization system of claim 1, wherein the server further comprises a data integration module, and the data integration module is respectively connected to the matching optimization module, the mobile phone cleaning optimization application APP and the cloud database, and is configured to integrate various data, including but not limited to a mobile phone performance variation curve, a disk space occupation curve and a software installation application record.
3. The cloud-based mobile phone cleaning optimization system of claim 2, wherein the server further comprises an abnormal behavior monitoring module, which is connected to the real-time data acquisition module, the matching optimization module and the data integration module, respectively, and is configured to monitor abnormal data.
4. The cloud-based mobile phone cleaning optimization system of claim 1, wherein the real-time data includes, but is not limited to, mobile phone device basic information, current user application amount, user usage application time distribution, and applications frequently used by a user.
5. The cloud-based mobile phone cleaning optimization system according to any one of claims 1 to 4, wherein the mobile phone performance data includes, but is not limited to, mobile phone configurations of different models, performance indexes, and memory ratios of software.
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| CN202010987226.0A CN112148560A (en) | 2020-09-18 | 2020-09-18 | Mobile phone cleaning optimization system based on cloud |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140365451A1 (en) * | 2012-03-30 | 2014-12-11 | Beijing Netqin Technology Co., Ltd | Method and system for cleaning up files on a device |
| CN104239157A (en) * | 2014-08-19 | 2014-12-24 | 北京奇虎科技有限公司 | Method and device for optimizing and cleaning data of mobile terminal |
| CN105204970A (en) * | 2014-06-30 | 2015-12-30 | 北京金山安全软件有限公司 | Method and device for detecting CPU occupancy rate abnormity of APP and mobile terminal |
| CN107678698A (en) * | 2017-10-31 | 2018-02-09 | 努比亚技术有限公司 | Data cached method for cleaning, server, terminal and computer-readable recording medium |
| CN108134878A (en) * | 2017-12-22 | 2018-06-08 | 苏州人为峰软件科技有限公司 | Smart mobile phone redundant data method for cleaning based on android system |
-
2020
- 2020-09-18 CN CN202010987226.0A patent/CN112148560A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140365451A1 (en) * | 2012-03-30 | 2014-12-11 | Beijing Netqin Technology Co., Ltd | Method and system for cleaning up files on a device |
| CN105204970A (en) * | 2014-06-30 | 2015-12-30 | 北京金山安全软件有限公司 | Method and device for detecting CPU occupancy rate abnormity of APP and mobile terminal |
| CN104239157A (en) * | 2014-08-19 | 2014-12-24 | 北京奇虎科技有限公司 | Method and device for optimizing and cleaning data of mobile terminal |
| CN107678698A (en) * | 2017-10-31 | 2018-02-09 | 努比亚技术有限公司 | Data cached method for cleaning, server, terminal and computer-readable recording medium |
| CN108134878A (en) * | 2017-12-22 | 2018-06-08 | 苏州人为峰软件科技有限公司 | Smart mobile phone redundant data method for cleaning based on android system |
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