A mobile phone cleaning and optimization system based on cloud

Abstract

The present invention discloses a mobile phone cleaning and optimization system based on cloud, comprising: a client, a server and a cloud database, wherein a mobile phone cleaning and optimization application APP is installed on the client, and the server comprises a real-time data acquisition module and a matching optimization module, and the mobile phone cleaning and optimization application APP is respectively connected with the real-time data acquisition module and the matching optimization module, and both the real-time data acquisition module and the matching optimization module are connected with the cloud database, and the real-time data acquisition module and the matching optimization module are connected; the present invention provides different optimization schemes for each mobile phone, determines whether the user needs optimization according to the current different environments and configurations of the mobile phone, avoids useless operations, and the entire big data model is completed on the server side, and the user's mobile phone device is only in the execution stage, which greatly reduces the performance dependence of the traditional cleaning and optimization scheme on the user's device and the problem of occupying mobile phone resources, thereby truly solving the problem of slow operation of the user's mobile phone.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically to a cloud-based mobile phone cleaning and optimization system. Background Art

[0002] Traditional cleaning and optimization technologies are all done on the client side. When users find their phones are stuck, they use the cleaning and optimization function. However, the configuration of users' phones and the amount of installed applications are different. Regardless of the configuration of the user's phone, whether the performance is insufficient, or whether there is enough disk space for the phone to use, the user is required to clean up. But in fact, continuous useless cleaning and memory optimization will cause a waste of resources for the user's device. Not only is it difficult to truly solve performance problems, it may even make the phone more stuck.

[0003] Therefore, the traditional one-size-fits-all cleaning and optimization solutions cannot meet the needs of all users at all, and cannot make differentiated optimization solutions for each user and each mobile phone.

[0004] How to provide different mobile phone cleaning optimization solutions according to the usage of different users' mobile phones is a problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] In view of this, the present invention provides a cloud-based mobile phone cleaning optimization system, which can provide a more accurate mobile phone cleaning solution according to the usage of different users' mobile phones, has strong practicality, and can provide real-time protection.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A cloud-based mobile phone cleaning and optimization system comprises: a client, a server and a cloud database, wherein the client is installed with a mobile phone cleaning and optimization application APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning and optimization application APP is connected to the real-time data acquisition module and the matching optimization module respectively, and the real-time data acquisition module and the matching optimization module are both connected to the cloud database, and the real-time data acquisition module is connected to the matching optimization module;

[0008] The real-time data collection module is used to collect the real-time data of different users' current mobile devices collected by the mobile phone cleaning and optimization application APP in real time;

[0009] The matching optimization module is used to calculate based on the real-time data and the mobile phone performance data pre-stored in the cloud server, match the optimization strategy of the current user's mobile phone, and feed it back to the mobile phone cleaning optimization application APP;

[0010] The cloud database is used to store real-time data and mobile phone performance data;

[0011] The mobile phone cleaning and optimization application APP is used to perform cleaning and optimization according to the optimization strategy.

[0012] Furthermore, the server also includes a data integration module, which is connected to the matching optimization module, the mobile phone cleaning optimization application APP and the cloud database respectively, and is used to integrate various data, including but not limited to mobile phone performance change curves, disk space usage curves and software installation application records.

[0013] Furthermore, the server also includes an abnormal behavior monitoring module, which is respectively connected to the real-time data acquisition module, the matching optimization module and the data integration module, and is used to monitor abnormal data.

[0014] Furthermore, the real-time data includes but is not limited to basic information of the mobile device, current user application usage, user application usage time distribution, and applications frequently used by the user.

[0015] Furthermore, the mobile phone performance data includes but is not limited to mobile phone configurations, performance indicators and software memory usage of different models.

[0016] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a cloud-based mobile phone cleaning and optimization system, which provides different optimization solutions for each mobile phone, and determines whether the user needs optimization according to the current different environments and configurations of the mobile phone, thereby avoiding useless operations, and the entire big data model is completed on the server side, and the user's mobile phone device is only in the execution stage, which greatly reduces the performance dependence of traditional cleaning and optimization solutions on user devices and the problem of occupying mobile phone resources, thereby truly solving the problem of slow running speed of user mobile phones. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0018] Figure 1 The accompanying figure is a structural block diagram of a cloud-based mobile phone cleaning and optimization system according to Example 1.

[0019] Figure 2 The accompanying figure is a structural block diagram of a cloud-based mobile phone cleaning and optimization system according to Example 2.

[0020] Figure 3The accompanying figure is a structural block diagram of a cloud-based mobile phone cleaning and optimization system according to Example 3. DETAILED DESCRIPTION

[0021] 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.

[0022] Embodiment 1, a cloud-based mobile phone cleaning and optimization system, comprising: a client, a server and a cloud database, the client is installed with a mobile phone cleaning and optimization application APP, the server comprises a real-time data acquisition module and a matching optimization module, the mobile phone cleaning and optimization application APP is connected to the real-time data acquisition module and the matching optimization module respectively, and the real-time data acquisition module and the matching optimization module are both connected to the cloud database, and the real-time data acquisition module is connected to the matching optimization module;

[0023] The real-time data collection module is used to collect the real-time data of different users' current mobile devices collected by the mobile phone cleaning and optimization application APP;

[0024] The matching optimization module is used to compare and calculate the real-time data and the mobile phone performance data pre-stored in the cloud server, match the best optimization strategy for the current mobile phone, and feed it back to the mobile phone cleaning optimization application APP;

[0025] The cloud database is used to store real-time data and mobile phone performance data;

[0026] Mobile phone cleaning and optimization application APP is used to clean and optimize according to the optimization strategy.

[0027] Real-time data includes but is not limited to basic information about mobile devices, current user application usage, user application time distribution, and frequently used applications. Mobile phone performance data includes but is not limited to different models of mobile phone configurations, performance indicators, and software memory usage.

[0028] For example: exclusive functional solutions can be matched according to the type and number of software installed on the user's mobile phone. When the matching optimization module detects based on real-time data that the user has not installed WeChat, the "WeChat Cleaning" function will not be provided to the user. If it is detected that the user has not installed game software, the game acceleration function will not be provided to the user.

[0029] Embodiment 2, a cloud-based mobile phone cleaning and optimization system, also includes a data integration module, which is connected to the matching optimization module, the mobile phone cleaning and optimization application APP and the cloud database respectively, and is used to integrate various data, including but not limited to the mobile phone performance change curve, the disk space usage curve and the software installation application record.

[0030] The specific process is that the data integration module integrates the data sent by the cloud database, and sends the integrated data to the matching optimization module, and then recommends the cleaning optimization plan to the user. At the same time, the data integration module sends the integrated data to the mobile phone cleaning optimization application APP for data display.

[0031] For example, according to statistics, 80% of users of a certain model of Huawei mobile phones will experience lag when the disk space is less than 1GB. The disk storage threshold of a certain model of Huawei mobile phones is stored in the cloud database in advance. The data integration module calculates the disk space usage curve in real time and sends it to the matching optimization module. When the matching optimization module finds that the disk space usage curve is close to the threshold, it reminds the user to optimize the disk space, thus realizing a solution that provides customized needs and optimization plans for different users.

[0032] Embodiment 3, a cloud-based mobile phone cleaning and optimization system, further includes an abnormal behavior monitoring module, which is respectively connected to the real-time data acquisition module, the matching optimization module and the data integration module for monitoring abnormal data.

[0033] The specific process is that when the real-time data collected by the real-time data acquisition 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 abnormal data is found, it will be immediately sent to the matching optimization module, and the matching optimization module will give the optimal cleaning plan.

[0034] For example: the user installs software A. After comparison, the abnormal behavior monitoring module finds that the user's mobile phone has obvious power consumption and memory consumption. The matching optimization module can remind the user that application A is a burden on the phone and whether it needs to be uninstalled. It can truly provide users with customized demand solutions in real time based on the situation of the phone.

[0035] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0036] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A cloud-based mobile phone cleaning and optimization system, characterized in that: include: A client, a server and a cloud database, wherein the client is installed with a mobile phone cleaning and optimization application APP, the server includes a real-time data acquisition module and a matching optimization module, the mobile phone cleaning and optimization application APP is connected to the real-time data acquisition module and the matching optimization module respectively, and the real-time data acquisition module and the matching optimization module are both connected to the cloud database, and the real-time data acquisition module is connected to the matching optimization module; The real-time data collection module is used to collect the real-time data of different users' current mobile devices collected by the mobile phone cleaning and optimization application APP in real time; The matching optimization module is used to calculate based on the real-time data and the mobile phone performance data pre-stored in the cloud server, match the optimization strategy of the current user's mobile phone, and feed it back to the mobile phone cleaning optimization application APP; The cloud database is used to store real-time data and mobile phone performance data; The mobile phone cleaning and optimization application APP is used to perform cleaning and optimization according to the optimization strategy; The server further comprises a data integration module, which is respectively connected to the matching optimization module, the mobile phone cleaning optimization application APP and the cloud database, and is used to integrate various data, including but not limited to the mobile phone performance change curve, the disk space usage curve and the software installation application record; the data integration module integrates the data sent by the cloud database, and sends the integrated data to the matching optimization module, and then recommends the cleaning optimization plan to the user, and at the same time, the data integration module sends the integrated data to the mobile phone cleaning optimization application APP for data display; The real-time data includes but is not limited to basic information of mobile devices, current user application usage, user application usage time distribution, and applications frequently used by users; The mobile phone performance data includes but is not limited to mobile phone configurations, performance indicators and software memory usage of different models.

2. A cloud-based mobile phone cleaning and optimization system according to claim 1, characterized in that: The server also includes an abnormal behavior monitoring module, which is respectively connected to the real-time data acquisition module, the matching optimization module and the data integration module, and is used to monitor abnormal data.

Images