CN114025387A

CN114025387A - Processing method, intelligent terminal and storage medium

Info

Publication number: CN114025387A
Application number: CN202111329020.XA
Authority: CN
Inventors: 宋清明
Original assignee: Chongqing Chuanyin Communication Technology Co ltd
Current assignee: Chongqing Chuanyin Communication Technology Co ltd
Priority date: 2021-11-10
Filing date: 2021-11-10
Publication date: 2022-02-08

Abstract

The application provides a processing method, an intelligent terminal and a storage medium, wherein the processing method can be applied to the intelligent terminal and comprises the following steps: identifying a first position, and acquiring cache data of a target application at a preset position when a first network corresponding to the first position is determined or output to be in a network congestion condition; and displaying the user interface of the target application according to the cache data. According to the method and the device, when the network congestion occurs in the network accessed by the current intelligent terminal, the content cached in advance can be obtained, so that the user can continue to smoothly use the application, the time for waiting for the network is avoided, the use of the user is ensured, and the user experience is improved.

Description

Processing method, intelligent terminal and storage medium

Technical Field

The present application relates to the field of wireless communication technologies, and in particular, to a processing method, an intelligent terminal, and a storage medium.

Background

With the development of wireless communication technology and the popularization of intelligent terminals, people can call a telephone through the intelligent terminal, watch videos, browse news and the like through the intelligent terminal, and realize voice and data services on the premise that the intelligent terminal resides in a certain cell. Currently, an intelligent terminal may reside in a cell, and implement voice service and data service through an access network.

In the course of conceiving and implementing the present application, the inventors found that at least the following problems existed: when network congestion occurs in a certain network accessed by the intelligent terminal, the intelligent terminal can improve the network congestion problem by switching resident cells; or when the intelligent terminal has network congestion in a certain network, the intelligent terminal can download an object with smaller data transmission amount of the required network according to the setting of the user so as to reduce the data transmission. However, when the intelligent terminal is in a congested environment, even if the resident cell is switched, network congestion may occur, so that the network cannot be used, and in the network congested environment, downloading an object with a small transmission amount may not be completed. Therefore, the user needs to wait for the network to recover to normal, and the user experience is poor.

The foregoing description is provided for general background information and is not admitted to be prior art.

Disclosure of Invention

In view of the above technical problems, the present application provides a processing method, an intelligent terminal, and a storage medium, which can obtain content cached in advance when a network to which the intelligent terminal is currently connected is congested, so that a user can continue to browse applications smoothly, thereby avoiding a time for waiting for the network, ensuring the use of the user, and improving user experience.

In order to solve the foregoing technical problem, in a first aspect, the present application provides a processing method, optionally applied to an intelligent terminal, including:

identifying a first location;

when the first network corresponding to the first position is determined or output to be in a network congestion condition, cache data of the target application at a preset position is obtained;

and displaying the user interface of the target application according to the cache data.

Optionally, before the obtaining the cache data of the target application at the preset location, the method further includes:

predicting or determining a change and/or trend from the second location to the first location;

determining or identifying that the first network is in the network congestion condition at the second location, and acquiring the cache data through a second network, wherein the second network is the network at the second location;

and storing the cache data in the preset position.

Optionally, said predicting or determining a change and/or trend from a second location to said first location comprises:

and identifying a triggering operation of navigation, and determining or generating navigation information, wherein the navigation information comprises the change and/or trend of the intelligent terminal from the second position to the first position.

Optionally, before the obtaining the cache data through the second network, the method further includes:

acquiring historical state information of the first network, wherein the historical state information comprises the times and/or time of the first network under the network congestion condition;

determining that the first network meets the network congestion condition when the number of times that the first network is in the network congestion condition is determined or generated is greater than or equal to a preset number threshold; and/or the presence of a gas in the gas,

and determining or generating that the time when the first network is in the network congestion condition is within a preset time range, and determining that the first network is in the network congestion condition.

Optionally, before the obtaining the cache data of the target application stored in the intelligent terminal, the method further includes:

acquiring application use data, wherein the application use data comprises the starting times and/or time of at least one application;

and determining or generating the target application from the starting times and/or time of the at least one application according to a preset rule.

Optionally, the obtaining the cache data through the second network includes:

obtaining a cache address of the target application;

and obtaining the cache data of the target application from the cache address through the second network.

Optionally, the method further includes:

and when the first network is determined not to be in the network congestion condition, acquiring the cache data through the first network.

Optionally, after the displaying the user interface of the target application according to the cached data, the method further includes:

determining or generating status information of the first network, the status information including the first location and the first network being in the network congestion condition;

and sending the state information to a preset area through a third network, wherein the third network is not the same as the first network.

and detecting that the available memory is lower than or equal to a preset memory threshold value, and deleting the file corresponding to the cache data.

In a second aspect, the present application also provides a processing apparatus, comprising:

an identification unit for identifying a first location;

the processing unit is used for determining or outputting the cache data of the target application at a preset position when the first network corresponding to the first position is in a network congestion condition;

and the display unit is used for displaying the user interface of the target application according to the cache data.

In addition, in this aspect, other alternative embodiments of the processing device may refer to the relevant contents of the first aspect, and are not described in detail here.

In a third aspect, the present application further provides an intelligent terminal, including: a memory, a processor, wherein the memory has stored thereon a processing program, which when executed by the processor implements the steps of any of the methods described above.

In a fourth aspect, the present application also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the methods described above.

As described above, the processing method of the present application, applied to an intelligent terminal, includes the steps of: identifying a first location; when determining or outputting that a first network corresponding to a first position is in a network congestion condition, obtaining cache data of a target application at a preset position; and displaying the user interface of the target application according to the cache data. By the technical scheme, the function that the user continues to smoothly use the target application can be guaranteed when the network accessed by the intelligent terminal is congested, the problem that the application of the intelligent terminal browsed by the user in a network congestion environment needs to wait for the network to return to normal due to the fact that the network congestion still occurs in the resident cell through switching when the network accessed by the intelligent terminal is congested is solved, the waiting time that the user waits for the network to return to normal is avoided, the user can smoothly browse the content of the application, and user experience is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic diagram of a hardware structure of an intelligent terminal implementing various embodiments of the present application;

fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;

FIG. 3 is a flowchart illustrating a processing method according to a first embodiment;

FIG. 4a is a schematic user interface diagram of a target application shown in accordance with the first embodiment;

FIG. 4b is a schematic diagram of a user interface for prompting completion of memory scrubbing according to the first embodiment;

FIG. 5 is a schematic flow chart diagram illustrating a processing method according to a second embodiment;

FIG. 6 is a user interface diagram of a target application shown in accordance with a second embodiment;

FIG. 7 is a schematic flow chart diagram illustrating a processing method according to a third embodiment;

FIG. 8a is a timing diagram illustrating a processing method according to a third embodiment;

fig. 8b is a schematic diagram showing a plurality of modules included in the smart terminal according to the third embodiment;

fig. 9 is a schematic structural diagram of a processing apparatus according to an embodiment of the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It should be noted that, step numbers such as 301 and 302 are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform 302 first and then 301 in specific implementation, but these should be within the scope of the present application.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

The smart terminal may be implemented in various forms. For example, the smart terminal described in the present application may include smart terminals such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and fixed terminals such as a Digital TV, a desktop computer, and the like.

The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), TDD-LTE (Time Division duplex-Long Term Evolution, Time Division Long Term Evolution), 5G, and so on.

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor that may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. Optionally, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited thereto.

Alternatively, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, optionally, the application processor mainly handles operating systems, user interfaces, application programs, etc., and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Optionally, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems (e.g. 5G), and the like.

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.

The processing method, the intelligent terminal and the storage medium provided by the embodiment of the application are further described in detail below. Referring to fig. 3, fig. 3 is a flow chart illustrating a processing method according to a first embodiment. The processing method shown in FIG. 3 includes steps 301-302. The method of the embodiment of the present application may be executed by the intelligent terminal shown in fig. 1, or may be executed by a chip in the intelligent terminal, and the intelligent terminal may be applied to the communication network system shown in fig. 2. The method execution subject shown in fig. 3 is an example of an intelligent terminal.

Wherein:

301. a first location is identified.

In the embodiment of the application, a plurality of different applications are installed in the intelligent terminal, one part is an application built in the system, the other part is an application installed by a user, and the user can obtain different services through various applications installed in the intelligent terminal. At present, when some applications provide services for users, the applications need to be networked to obtain data of the applications, and then the data are displayed in a user interface for displaying, and after browsing contents in the user interface, the users can interact with the applications. After the application is started or after the application interacts with the user, network data may need to be acquired, that is, the intelligent terminal needs to access a certain network. In order to acquire the data of the application, the intelligent terminal can reside in a certain cell, access the mobile cellular network, and further acquire the data of the application through the network address corresponding to the application, so that the application data is displayed in a user interface.

At present, when a network congestion situation occurs in a certain network accessed by an intelligent terminal, the intelligent terminal can switch a resident cell to solve the network congestion problem, or wait until the network recovers to normal, and a user can input an instruction, so that the intelligent terminal only downloads an object with a small data transmission amount. However, if the intelligent terminal is in a congested environment, there is a high probability that network congestion occurs when the intelligent terminal switches to a resident cell. Similarly, in a network congestion environment, even an object with a small download data transmission amount may not be completed. The user can only wait and interact with the intelligent terminal after the user interface is loaded. Or the user continues to browse the data acquired by the intelligent terminal after the current network environment is recovered to be normal. In the network congestion environment, a user needs to wait for the time of acquiring the application data, and the user experience of using the application through the intelligent terminal is poor, so that the use requirement in the network congestion environment cannot be met.

Optionally, the intelligent terminal identifies the first location, that is, the intelligent terminal may locate the current location, where the intelligent terminal is located at the first location. When a user uses an application installed in the intelligent terminal, if the intelligent terminal detects that a currently accessed network (namely, a first network corresponding to a first position) is in a network congestion condition, that is, it is determined that the first network corresponding to the first position has network congestion, the intelligent terminal may acquire cache data of a target application stored in a preset position, and further display a user interface of the target application according to the acquired cache data of the target application. Therefore, the waiting time of the user in the network congestion environment is avoided, the use of the user is ensured, the user experience is improved, and the use requirement in the network congestion environment can be met.

302. And when the first network corresponding to the first position is determined or output to be in the network congestion condition, obtaining the cache data of the target application at the preset position.

Alternatively, the preset location may be an intelligent terminal, that is, a database for storing data in the intelligent terminal, and the intelligent terminal may obtain cache data of the target application stored locally. The network congestion condition of the first network corresponding to the first position can be used to indicate that the network congestion occurs in the network to which the intelligent terminal is connected. The intelligent terminal can determine whether the first network is in the network congestion condition or not by acquiring the network parameter of the first network accessed currently and according to the current network parameter and the preset network parameter threshold value or whether the acquired network parameter is the preset network parameter, and the intelligent terminal can output prompt information for prompting that the first network accessed currently is in the network congestion condition.

Alternatively, the network parameter may be the number of times that the smart terminal sends a Random Access Request (RA) to a network device (e.g., a base station), and the RA may be carried in a Random Access Channel (Rach). If the number of times that the intelligent terminal sends the RA is greater than the preset number threshold N1, it may be determined that the first network is in a network congestion condition. The RA corresponds to the physical layer.

Optionally, the network parameter may be the number of times that a back-off timer (back-off timer) is carried in a Random Access Response (RAR) message returned by the network device and received by the intelligent terminal; the network parameter may also be a ratio between an uplink scheduling Grant (Up Link Grant, UL _ Grant) returned by the network device received by the intelligent terminal and a Buffer Status Report (BSR) sent by the intelligent terminal to the network device after receiving the UL _ Grant. And if the intelligent terminal determines that the number of times of carrying the backoff timer in the RAR message is greater than a preset number threshold N2, determining that the first network is in a network congestion condition. The RAR message, UL _ Grant, BSR correspond to a Medium Access Control (MAC) layer.

Optionally, the network parameter may be a parameter that is carried in a received returned RRC message and is failed in connection Radio Resource Control (RRC) in a camping stage and a network selection stage of the intelligent terminal. If the intelligent terminal receives the parameter of the 'wait time information' (waitTime) carried in the returned RRC _ CONNECT _ REJ message, it may be determined that the first network is in a network congestion condition.

Optionally, the network parameter may also be a Circuit Switched Fallback (CSFB) of an Original signal of a Mobile telephony (MO) call of the smart terminal, where the MO _ Original call _ Original signal MO _ Original) triggers Access Class Barring (AC) when RRC establishes a connection, and the network parameter may be a value of an RRC timer, for example, a T303 timer, a T305 timer, and a T306 timer. And if the values of the timer T303, the timer T305 and the timer T306 are not null when the intelligent terminal establishes the RRC link in the CSFB, determining that the first network is in a network congestion condition. The RRC _ CONNECT _ REJ message and the RRC timer correspond to the RRC layer.

Optionally, the intelligent terminal requests a Tracking Area Update (TAU), requests a network registration (attach), and is rejected in a process of requesting an Evolved packet System Mobility Management service (EMM _ service) service by the intelligent terminal, and further triggers a back-off timer, where the network parameter may be a rejection parameter carried in a received Non-Access Stratum (NAS) message. If the intelligent terminal is rejected when requesting TAU, ATTACH and EMM _ service, and the returned rejection parameter is 'Congestion'. The NAS message corresponds to the NAS layer.

Optionally, the network parameter may also be a network delay, a packet loss rate, jitter, a throughput, a Received Signal Strength Indication (RSSI), a Reference Signal Receiving Power (RSRP), a Reference Signal Receiving Quality (RSRQ), and the like, which is not limited in this application.

Optionally, the intelligent terminal reports an Unsolicited Result Code (Unsolicited Result Code) in any of the above cases. The intelligent terminal may determine whether the first network is in a network congestion situation according to any of the network parameters and whether the URC is reported. And the intelligent terminal acquires that the RSSI is smaller than a preset RSSI threshold, the RSRP is lower than the RSRP threshold, and the RSRQ is smaller than a preset RSRQ threshold, and then the first network is determined to be in a network congestion condition.

Optionally, when the intelligent terminal identifies the first location and the first network at the current location is determined or output by the intelligent terminal to meet the network congestion condition, the intelligent terminal may obtain the cache data of the target application stored in the preset location. The cache data is obtained by the intelligent terminal in advance, and the cache data can be used for the intelligent terminal to display a user interface of the target application.

Optionally, the smart terminal may obtain application usage data, the application usage data including a number of times at least one application was launched. The target application can count applications with more starting times for the intelligent terminal in the application use data, namely the target application represents the applications with more access times, namely the applications frequently used by the user. Optionally, the intelligent terminal may obtain application usage data of the intelligent terminal, where the application usage data may include the number of times of starting each application, and the intelligent terminal may sort the number of times of starting at least one application in order from high to low to obtain a sorting result, and determine the top N applications in the sorting result as target applications, where N is a positive integer.

Optionally, the smart terminal may obtain application usage data, the application usage data including a time of at least one application. The target application can count the application use data of the intelligent terminal, wherein the application with longer application duration is started by the user, namely the target application represents the application with longer user use time. The intelligent terminal can sequence the use duration of at least one application according to the sequence from high to low to obtain a sequencing result, and determines the applications with M front-ranked positions in the sequencing result as target applications, wherein M is a positive integer.

Optionally, the time when the application usage data includes the at least one application may also be a starting time of the at least one application, the starting time is equal to an application of which a time difference between the time when the intelligent terminal identifies the first location and determines or generates the first network in the network congestion condition is smaller than or equal to a preset time difference threshold, that is, the target application represents an application that is frequently started by the user in the period. The intelligent terminal can obtain the time information of the current moment, determine the starting time interval according to the time information and the preset time difference, obtain the time information of the starting moment of at least one application, and take O applications of the starting moment in the starting time interval as target applications, wherein O is a positive integer.

Optionally, the intelligent terminal obtains the cache data of the target application stored in the preset location, that is, the intelligent terminal may obtain the cache data of the target application from the locally stored cache data, where the cache data is network data required by the intelligent terminal to display a user interface of the target application, and only the obtained opportunity is before the user starts the target application, and is not during the process of starting the target application by the user. Therefore, the intelligent terminal can display the user interface of the target application according to the cache data so as to facilitate browsing and interaction of the user.

Optionally, the cache data may be a change and/or trend of the intelligent terminal in predicting or determining that the intelligent terminal is going to change from the second location (origin) to the first location (destination), and when the intelligent terminal is at the origin (i.e. the second location), it may be determined or identified whether the first network corresponding to the first location is in a network congestion condition, and if so, the cache data of the target application may be obtained and stored in a preset location (i.e. in the intelligent terminal). Optionally, the manner of determining or identifying whether the first network is in the network congestion condition by the intelligent terminal may be to acquire historical state information of the first network, where the historical state information includes the number of times that the network congestion occurs in the first location history, and if the number of times is greater than a preset congestion number threshold, it is determined or identified that the first network may also be in the network congestion condition.

Optionally, the manner of determining or identifying whether the first network is in the network congestion condition by the intelligent terminal may also be to obtain historical state information of the first network, where the historical state information includes a time when the network congestion condition occurs in the first location history, that is, a time period when the first network history is in the network congestion condition, and if it is counted that the number of times that the first network is in the network congestion condition in a certain time period (e.g., a reference time period) in a day is greater than or equal to a preset congestion number threshold, it is determined or identified that the first network is also likely to be in the network congestion condition in the reference time period in the following day, that is, it indicates that the first network is often in the network congestion condition in the certain time period. The reference time period may be a time period during which the intelligent terminal identifies the first location and determines or outputs a time period during which the first network corresponding to the first location is in a network congestion condition. Optionally, the historical state information of the first network may be acquired from a preset area, and the preset area may be a cloud server, a preset server, or the like, which is not limited in the present application.

303. And displaying the user interface of the target application according to the cache data.

Optionally, the intelligent terminal may obtain cache data of the target application, where the cache data is to-be-analyzed data of the target application obtained from the network, and the to-be-analyzed data is data in an original format of user interface data, and store the to-be-analyzed data in the intelligent terminal (i.e., a preset position), so that when the intelligent terminal identifies the first position and determines or outputs that the first network corresponding to the first position is in a network congestion condition, the to-be-analyzed data is obtained and analyzed, and displayed data is obtained, and then the user interface of the target application may be displayed.

Referring to fig. 4a together, fig. 4a is a schematic diagram of a user interface of a target application according to the first embodiment, as shown in fig. 4a, the user interface is a user interface of a certain news application, the news application is a target application, the user interface may include news 1, news 2, and news 3, and all of the three news items may be cache data of the news application, which is acquired and stored through a second network (i.e., a network corresponding to the second location) when the smart terminal is located at the second location. When the intelligent terminal determines that the first network corresponding to the first location is in a network congestion condition at the first location, the intelligent terminal may obtain and analyze the stored cache data of the three pieces of news displayed in the user interface, and further display a news interface as shown in fig. 4 a. Therefore, after the user arrives at the first position in a network congestion condition, the user can continue to use the news application to browse news.

Optionally, the intelligent terminal may delete a file corresponding to the cached data that has been used for displaying the user interface, so as to clean the memory, when the available memory is lower than or equal to the preset memory threshold. Optionally, the intelligent terminal may also delete the file corresponding to the cache data whose duration between the cache data storage time and the current time is greater than the preset duration threshold. Optionally, the intelligent terminal may also delete the file corresponding to the cache data of the target application after analyzing the cache data of the target application to display the user interface of the target application, which is not limited in the present application.

Referring to fig. 4b together, fig. 4b is a schematic diagram of a user interface for prompting completion of memory cleaning according to the first embodiment, as shown in fig. 4b, when cache data is deleted, a prompt message as shown in fig. 4b may be displayed for prompting completion of memory cleaning for a user, where the prompt message may be "relevant cache is deleted and memory is no longer occupied".

In the method described in fig. 3, when the intelligent terminal identifies the first location, determines or outputs that the first network corresponding to the first location is in a network congestion condition, the cache data of the target application at the preset location is acquired, and the user interface of the target application is displayed according to the cache data. Therefore, based on the method described in fig. 3, the cached memory can be obtained in advance, so that the user can smoothly browse the application, the time for waiting for the network is avoided, the use of the user is ensured, and the user experience is improved. In addition, the file corresponding to the cache data can be deleted after the user interface of the target application is displayed on the intelligent terminal, the memory of the intelligent terminal is not occupied, and the memory consumption of the intelligent terminal is saved.

Referring to fig. 5, fig. 5 is another flow chart illustrating a processing method according to a second embodiment. The processing method shown in FIG. 5 includes steps 501-503. The method of the embodiment of the present application may be executed by the intelligent terminal shown in fig. 1, or may be executed by a chip in the intelligent terminal, and the intelligent terminal may be applied to the communication network system shown in fig. 2. The method execution subject shown in fig. 5 takes an intelligent terminal as an example.

It should be noted that the same or similar parts between the various embodiments in this application may be referred to each other. In the embodiments and the implementation methods/implementation methods in the embodiments in the present application, unless otherwise specified or conflicting in logic, terms and/or descriptions between different embodiments and between various implementation methods/implementation methods in various embodiments have consistency and can be mutually cited, and technical features in different embodiments and various implementation methods/implementation methods in various embodiments can be combined to form new embodiments, implementation methods, or implementation methods according to the inherent logic relationships thereof. The above-described embodiments of the present application do not limit the scope of the present application. Wherein:

501. a change and/or trend from the second location to the first location is predicted or determined.

Optionally, the smart terminal may monitor or recognize a trigger operation of the user for navigation, and after monitoring or recognizing the trigger operation for navigation, may determine or generate navigation information, which may include a change and/or a trend of the smart terminal going from the second location to the first location. Optionally, the change and/or trend is used to indicate that the user is going to go from the second location to the first location, and the navigation information may further include a route for the second location to the first location, a time for the second location to go to the first location, and the like, which is not limited in this application. Optionally, the second location is a location of a starting location, the second location is a location where the user is located, and the first location is a location of a destination, and the intelligent terminal may determine or predict that the destination to which the user is going is the first location. The intelligent terminal may be located at a second location, i.e., a starting location, to determine or identify whether the first network (i.e., the network at the first location) meets the network congestion condition, and if so, the cache data of the target application may be obtained through the second network at the second location (the location where the intelligent terminal is located), and the cache data is stored in a preset location, i.e., in the intelligent terminal.

Alternatively, the intelligent terminal monitors or recognizes the triggering operation for navigation, and the triggering operation can be a navigation operation triggered by a destination input by a user in a map-type application. Optionally, the intelligent terminal listens for or recognizes the triggering operation of navigation or may be triggered in other types of applications including navigation functions. For example, the navigation operation triggered according to the received location information may be performed in an instant messaging application including a navigation function after receiving location information including location information sent by another user, or the navigation operation triggered according to the location information may be performed in a store sharing application including a navigation function, or another type of application may be performed, which is not limited in the present application.

502. And at the second position, determining or identifying that the first network is in a network congestion condition, and acquiring the cache data through the second network.

503. And storing the cache data in a preset position.

Optionally, when the intelligent terminal is located at the second location, the intelligent terminal may be a location of a starting point in the navigation information determined or generated by the intelligent terminal, and it may be determined or identified whether the first network is in a network congestion condition, and if it is determined or identified that the first network is in the network congestion condition, the cache data of the target application may be acquired through the second network at the second location. Alternatively, the target application may be one application or may be a plurality of applications.

Optionally, the target application may be an application that is started by a user for a relatively large number of times, that is, the intelligent terminal may obtain application usage data, where the application usage data may be a data access list, and the data access list may store an application name and an application unique identity in correspondence with the number of times of user startup. And the intelligent terminal can further obtain at least one application and corresponding starting times from the data access list, so that the starting times are sorted from high to low, and the application with the top N bits in the sorting result is obtained as the target application. And N is a positive integer, if N is 1, the target application is represented as one application, and if N is an integer greater than 1, the target application is represented as a plurality of applications. Optionally, the applications in the data access list may be sorted from high to low according to the number of times of launching.

Optionally, the target application may be an application with a long duration for the user to open the application, that is, the intelligent terminal may obtain application usage data, and the application usage data may store the usage duration of at least one application, so that the start durations are sorted from high to low, and the application with the top M bits in the sorting result is obtained as the target application. And M is a positive integer, if M is 1, the target application is represented as one application, and if M is an integer larger than 1, the target application is represented as a plurality of applications.

Alternatively, the target application may be an application that has been started by a user within a preset time range, that is, the smart terminal may acquire application usage data, where the application usage data includes a start time of at least one application. The intelligent terminal can obtain current time information, namely the current time is the time information of the intelligent terminal at the moment when the intelligent terminal identifies the first position, determines or outputs the time information of the first network corresponding to the first position when the first network is in the network congestion condition, determines a starting time interval according to the time information and a preset time difference, obtains the starting time of at least one application, and takes O applications of the starting time in the starting time interval as target applications, wherein O is a positive integer. If O is 1, it means that the target application is one application, and if O is an integer greater than 1, it means that the target application is a plurality of applications.

Optionally, the target application may also be an application started when the current intelligent terminal is at the second location, that is, an application currently being browsed by the user, and the target application may also be an application selected by the user, which is not limited in this application.

Optionally, the intelligent terminal may output a prompt message for prompting whether the user allows the cache data of the target application to be stored locally in advance when the intelligent terminal is located at the second location and the first network corresponding to the first location is determined or identified to be in a network congestion condition, and if the instruction input by the user is received as "yes", the cache data of the target application is acquired and stored locally, and/or if the instruction input by the user is received as "no", no response is made. For example, the prompt may be "whether to allow buffering, move out of congestion scene, delete buffering? ".

Optionally, the intelligent terminal may obtain the historical state information of the first network corresponding to the first location from a preset area (e.g., a preset server), that is, the intelligent terminal may send an obtaining request for obtaining the historical state information of the first network corresponding to the first location to the preset area (e.g., the preset server), and the preset server may return the historical state information of the first network to the intelligent terminal after receiving the obtaining request, where the historical state information of the first network includes the number of times and/or time that the first network history meets the network congestion condition.

Optionally, the intelligent terminal may determine or generate that the first network is in the network congestion condition at the second location when the number of times that the first network satisfies the network congestion condition in the historical state information is greater than or equal to a preset number threshold. Optionally, the intelligent terminal may determine or identify that the first network may be in the network congestion condition at the second location under the condition that the time when the first network is in the network congestion condition in the reference time period is greater than or equal to a preset time range, where the preset time range is the start time period.

Optionally, the intelligent terminal obtains a cache address of the user interface of the target application, where the cache address of the user interface of the target application refers to a network request address of required data for constituting the user interface of the target application. Under the condition that the network is normal, when a user starts a certain application, the intelligent terminal can obtain the data of the application from the network request address of the application, and then displays the user interface of the application.

Optionally, the cache address of the target application may be stored in the data access list of the application usage data, and stored in correspondence with the name of the application and the unique identifier of the application. Alternatively, the data access list of application usage data may be as shown in table 1:

TABLE 1

As shown in table 1, in the data access list, the identity and the application name of each application, the cache address of the cache data obtained by each page of each application, and the number of times that the user starts the application are stored. Alternatively, in table 1, the applications are sorted in order of the number of times of starting of the applications. Optionally, the data access list may further include other data, and the above table 1 is only an example, and the application does not limit this.

Referring to fig. 6, fig. 6 is a schematic diagram of a user interface of a target application according to a second embodiment, as shown in fig. 6, a news application of the target application is taken as an example for explanation, and the user interface includes three news: news 1, news 2 and news 3, in the user interface, the cache address corresponding to news 1 is cache address 1, news 2 corresponds to cache address 2, and news 3 corresponds to cache address 3, then the intelligent terminal can respectively obtain the data to be analyzed (i.e. original data) of news 1 from cache address 1 through the second network, obtain the data to be analyzed of news 2 from cache address 2 and obtain the data to be analyzed of news 3 from cache address 3, store the obtained data to be analyzed in a preset position, i.e. the intelligent terminal, so that the user interface of a certain news application shown in fig. 4a is displayed after the subsequent analysis.

In the method depicted in fig. 5, the change and/or trend of the intelligent terminal from the second position to the first position is predicted or determined; and at the second position, determining or identifying that the first network is in a network congestion condition, acquiring cache data through the second network, and storing the cache data at a preset position. Therefore, based on the method described in fig. 5, the intelligent terminal may cache the data of the target application under the condition that the cache instruction of the user is not received and the network congestion of the destination is determined or identified, so that the user can continue to browse the data of the target application according to the cache data in the network congestion environment after reaching the destination, thereby ensuring the use of the user and improving the user experience.

Referring to fig. 7, fig. 7 is a flowchart illustrating a processing method according to a third embodiment. The processing method shown in FIG. 7 includes steps 701-702. The method of the embodiment of the present application may be executed by the intelligent terminal shown in fig. 1, or may be executed by a chip in the intelligent terminal, and the intelligent terminal may be applied to the communication network system shown in fig. 2. The method execution subject shown in fig. 7 takes an intelligent terminal as an example.

701. status information of the first network is determined or generated.

Optionally, the intelligent terminal may obtain historical state information of a first location to which the intelligent terminal is going from a preset area (e.g., a preset server), where the historical state information is obtained by determining whether the first network is in a network congestion condition when the plurality of intelligent terminals are in the first location before, and then the intelligent terminals respectively determine or generate state information of the first network and upload the state information to the preset area (e.g., the preset server) when the first network is in the network congestion condition. Optionally, the state information of the first network may include the first location, and whether the first network is in the network congestion condition this time, and it may be understood that after the preset server receives the state information of the first network, the total number of times that the history meets the network congestion condition may be counted.

Optionally, a preset area (e.g., a preset server) stores the total number of times that the first network history corresponding to the first location is in the network congestion condition, and if the preset server receives status information sent by the intelligent terminal, the status information includes the first location and the current time that the first network is in the network congestion condition. The preset server may update the stored total number of times that the first network history corresponding to the first location is in the network congestion condition, that is, +1 of the total number of times that the first network history corresponding to the original first location meets the network congestion condition, to obtain the new total number of times that the first network history corresponding to the first location is in the network congestion condition, and store the updated data, so that the obtained data is obtained when the intelligent terminal or other intelligent terminals determine or identify the first network at the first location in the second location.

Optionally, the preset area (e.g., the preset server) may also count the number of times of the network congestion condition occurring in the first location history in each time period, to obtain one or more reference time periods, where the reference time periods are used to indicate that the first network corresponding to the first location is frequently in the network congestion condition in the time period. The reference time period may be one time period or a plurality of time periods, which is not limited in this application. After obtaining the reference time period, the preset area (e.g., the preset server) may send the reference time period to the intelligent terminal, so that the subsequent intelligent terminal may determine or identify that the first network corresponding to the first location is acquired when the network congestion condition is met at the second location.

702. And sending the state information to a preset area through a third network.

Optionally, after determining the state information of the first network, if the intelligent terminal is in a network congestion state due to the currently accessed first network, the intelligent terminal may change the location of the intelligent terminal, access to another network, or send the state information of the first network to a preset area (e.g., a preset server) after accessing a normal network, that is, send the state information to the preset server through a third network, where the third network is not the same network as the first network, and optionally, the third network is a network that is not in the network congestion state, that is, a normal network. After the intelligent terminal sends the state information of the first network to a preset area (such as a preset server), the preset area (such as the preset server) can update the stored total times and reference time period that the first network history corresponding to the first position is in the network congestion condition, and further, the preset area (such as the preset server) can send the historical state information of the first network to the intelligent terminal when each intelligent terminal is located at the second position and whether the first network is in the network congestion condition is determined or identified.

Referring to fig. 8a, fig. 8a is a timing diagram illustrating a processing method according to a third embodiment. As shown in fig. 8a, first, the intelligent terminal monitors that the intelligent terminal is going to a certain destination, that is, predicts or determines a change and/or a trend of the intelligent terminal from the second location to the first location; optionally, the intelligent terminal predicts whether the destination is likely to have network congestion, that is, when the intelligent terminal is at the second location, it determines or identifies whether the first location is likely to be in a network congestion situation, and if so, the intelligent terminal obtains relevant network data according to a common habit of a user and stores the network data in the intelligent terminal, that is, the intelligent terminal can obtain cache data of the target application and store the cache data locally; under the condition of no, the intelligent terminal does not perform any processing; after the intelligent terminal obtains the relevant network data and caches the relevant network data in a preset position (namely, the intelligent terminal), whether the intelligent terminal is located at a destination or not and a certain application is being used can be monitored, namely, the intelligent terminal can monitor that the intelligent terminal is located at a first position at present and displays a user interface of the target application; the intelligent terminal detects whether the current network is congested, namely the intelligent terminal detects whether the first network is in a network congestion condition; if so, obtaining the cached data to return to the application, and interrupting the network request, namely displaying the user interface of the target application according to the cached data; if not, acquiring data from the current network and returning the data to the application, namely acquiring cache data of the target application from the first network; after the intelligent terminal uses the cache data to display the user interface, the location of the destination and the network congestion condition of the first network can be uploaded to a preset server, that is, state information including the first location and the network congestion condition of the first network at this time is sent to a preset area (such as the preset server).

Referring to fig. 8b together, fig. 8b is a schematic diagram illustrating a plurality of modules included in an intelligent terminal according to a third embodiment, as shown in fig. 8b, the intelligent terminal may include a display module, a system daemon module, a congestion detection module, a network data loading module, and a storage module.

For the display module, the display module may be used to display a user interface of an application, where the application may be an application built in an operating system or an application installed by a user. The display module is further configured to display a prompt message, for example, a prompt message prompting the user whether to allow caching of the cached data of the target application in advance, and may further include a prompt message prompting the user that the cached data of the target application has been deleted.

For a system daemon (daemon) module, the so-called daemon, is a process that runs in the background and is not controlled by any terminal, and is used for executing a specific system task. Optionally, the system daemon module has a process for monitoring or identifying the user to access the application and saving the monitored or identified data in the storage module, and the monitored or generated data may be the application usage data. The system daemon module can also monitor or identify navigation information, when the position change and/or trend of the intelligent terminal is monitored or identified, the congestion detection module is called to acquire historical state information of the position, and if network congestion possibly occurring in the position is determined or identified, a process for acquiring cache data of the target application can be started. The system daemon module can also have a process that when the intelligent terminal is located at the position, the congestion detection module is called to detect whether the currently accessed network of the position is in a network congestion condition, if yes, cache data of the target application stored in the storage module is obtained and returned to the display module, and/or if not, the currently accessed network can be requested to obtain data of the target application so as to return to the display module.

On one hand, the congestion detection module is used for predicting whether a network at a certain position is in a network congestion condition or not when the intelligent terminal is at a starting place and the system daemon module determines the change and/or trend that the intelligent terminal is going to go to the position; on the other hand, when the system daemon module determines that the current intelligent terminal is at the position, the system daemon module is called to detect whether the network at the position is in a network congestion condition.

For the network data loading module, configured to communicate with an accessed network, and configured to request data of an application, on one hand, the network data loading module may be configured to preload data of the application when the system daemon module determines a change and/or a trend of the intelligent terminal going to a certain location at an initial location, and the congestion detection module predicts that the network at the location is in a network congestion condition, that is, the data of the application is cached in the storage module in advance. Optionally, the data cached by the network data loading module is data of a target application, and the data of the target application cached by the network data loading module is acquired from a network corresponding to a cache address of data required by a user interface for display, which is collected by the system daemon module.

And the storage module is used for storing and managing data and providing interfaces for accessing and storing data for other modules. The storage module may specifically include one or more of a database, a Disk (Disk), and the like. The storage module may specifically store navigation information, historical state information of a location to which the intelligent terminal is going, application use data of each application, and cache data of the target application, and optionally, the cache data of the target application is to-be-analyzed data. The storage module may be further configured to clear the parsed cache data when the available memory is lower than a preset memory threshold, or clear the cache data after the target application interface is displayed. The storage module can also be used for receiving instructions of a user and carrying out setting or deleting processing on files corresponding to the stored data.

In the method described in fig. 7, the intelligent terminal determines or generates status information including the first location and the first network is in a network congestion condition, and sends the status information to the preset area through the third network. Therefore, based on the method described in fig. 7, whether the network congestion occurs in the first network at the first location of this time may be uploaded, so that the subsequent intelligent terminal may obtain related data when predicting whether the network congestion may occur in the first network at the first location, and further perform prediction better, improve the accuracy of prediction, and thus make a better decision whether to cache the data of the target application, thereby improving user experience.

Referring to fig. 9, fig. 9 is a schematic structural diagram of a processing device 90 according to an embodiment of the present disclosure. The processing apparatus 90 includes an identification unit 901, a processing unit 902, a display unit 903, a storage unit 904, a transmission unit 905, and a deletion unit 906. Wherein:

an identifying unit 901 for identifying a first location;

a processing unit 902, configured to determine or output that a first network corresponding to the first location is in a network congestion condition, and obtain cache data of a target application at a preset location;

and a display unit 903, configured to display a user interface of the target application according to the cache data.

Optionally, the processing unit 902 is further configured to predict or determine a change and/or a trend from the second location to the first location;

the processing unit 902 is further configured to determine or identify that the first network is in the network congestion condition at the second location, and obtain the cached data through a second network, where the second network is the network at the second location;

the storage unit 904 is configured to store the cache data in the predetermined location.

Optionally, the processing unit 902 is specifically configured to:

Optionally, the obtaining unit 901 is further configured to obtain historical state information of the first network, where the historical state information includes the number of times and/or time that the first network is in the network congestion condition;

the processing unit 902 is further configured to determine or generate that the number of times that the first network is in the network congestion condition is greater than or equal to a preset number threshold, and determine that the first network is in the network congestion condition; and/or the presence of a gas in the gas,

the processing unit 902 is further configured to determine or generate that the time when the first network is in the network congestion condition is within a preset time range, and determine that the first network is in the network congestion condition.

Optionally, the obtaining unit 901 is further configured to obtain application usage data, where the application usage data includes a number of times and/or time of starting at least one application;

the processing unit 902 is further configured to determine or generate the target application from the number of times and/or time of starting the at least one application according to a preset rule.

Optionally, the obtaining unit 901 is specifically configured to:

obtaining a cache address of the target application;

Optionally, the processing unit 902 is further configured to determine or generate status information of the first network, where the status information includes the first location and the congestion condition of the first network;

a sending unit 905, configured to send the state information to a preset area through a third network, where the third network is not the same as the first network.

Optionally, the processing device 90 further includes:

a deleting unit 907, configured to detect that the available memory is lower than or equal to a preset memory threshold, and delete the file corresponding to the cache data.

The embodiment of the present application further provides an intelligent terminal, where the intelligent terminal includes a memory and a processor, and the memory stores a processing program, and the processing program, when executed by the processor, implements the steps of the processing method in any of the above embodiments.

The embodiment of the present application further provides a computer-readable storage medium, where a processing program is stored on the computer-readable storage medium, and when the processing program is executed by a processor, the processing program implements the steps of the processing method in any of the above embodiments.

In the embodiments of the intelligent terminal and the computer-readable storage medium provided in the present application, all technical features of any one of the embodiments of the processing method may be included, and the expanding and explaining contents of the specification are basically the same as those of the embodiments of the method, and are not described herein again.

Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.

It is to be understood that the foregoing scenarios are only examples, and do not constitute a limitation on application scenarios of the technical solutions provided in the embodiments of the present application, and the technical solutions of the present application may also be applied to other scenarios. For example, as can be known by those skilled in the art, with the evolution of system architecture and the emergence of new service scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The units in the device in the embodiment of the application can be merged, divided and deleted according to actual needs.

In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.

In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.

The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, memory Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims

1. A method of processing, comprising:

identifying a first location;

2. The method of claim 1, wherein before obtaining the cache data of the target application at the preset location, the method further comprises:

predicting or determining a change and/or trend from a second location to the first location;

at the second position, determining or identifying that the first network is in the network congestion condition, and acquiring the cache data through a second network, wherein the second network is the network at the second position;

and storing the cache data in the preset position.

3. The method of claim 2, wherein predicting or determining a change and/or trend from a second location to the first location comprises:

identifying a triggering operation of navigation, and determining or generating navigation information, wherein the navigation information comprises changes and/or trends from the second position to the first position.

4. The method of claim 2, further comprising, prior to said obtaining the cached data over the second network:

determining or generating that the number of times that the first network is in the network congestion condition is greater than or equal to a preset number threshold, and determining that the first network is in the network congestion condition; and/or the presence of a gas in the gas,

5. The method of claim 4, further comprising, after displaying the user interface of the target application according to the cached data:

determining or generating status information of the first network, the status information comprising the first location and the first network being in the network congestion condition;

6. The method according to any one of claims 1 to 5, wherein before obtaining the cache data of the target application stored in the preset location, the method further comprises:

7. The method according to any one of claims 2 to 5, wherein the obtaining the cached data via the second network comprises:

obtaining a cache address of the target application;

8. The method according to any one of claims 1 to 5, wherein after displaying the user interface of the target application according to the cached data, further comprising:

9. An intelligent terminal, characterized in that, intelligent terminal includes: memory, processor, wherein the memory has stored thereon a processing program which, when executed by the processor, implements the steps of the processing method of any of claims 1 to 8.

10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the processing method according to any one of claims 1 to 8.