CN112312514A - Method, device and equipment for accessing network and computer readable storage medium - Google Patents
Method, device and equipment for accessing network and computer readable storage medium Download PDFInfo
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- CN112312514A CN112312514A CN202011323957.1A CN202011323957A CN112312514A CN 112312514 A CN112312514 A CN 112312514A CN 202011323957 A CN202011323957 A CN 202011323957A CN 112312514 A CN112312514 A CN 112312514A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/08—Access restriction or access information delivery, e.g. discovery data delivery
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The application relates to the field of mobile networks, and provides a method, a device, equipment and a computer readable storage medium for accessing a network, so as to reduce the power consumption of an intelligent terminal and increase the stability of data transmission. The method comprises the following steps: when the intelligent terminal is accessed to the current network, big data of the user access network behavior of the intelligent terminal are called; matching the current network or the current unaccessed network behavior big data of the intelligent terminal with the accessed network behavior big data; and if the current network or the current unaccessed network of the intelligent terminal can be matched with the behavior big data of the accessed network, determining to adopt an access strategy matched with the performance characteristics of the accessed network of the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the behavior big data of the accessed network. According to the technical scheme, the power consumption of the intelligent terminal can be reduced, and the stability of data transmission is improved.
Description
Technical Field
The present invention relates to the field of mobile networks, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for accessing a network.
Background
Currently, smart terminals such as smart phones are mainly connected to the internet through a WiFi network or a mobile data network. With the gradual coverage of the base stations of the 5G mobile network, the 5G mobile network becomes more and more the first choice for the networking of the intelligent terminal users due to the characteristics of high efficiency and high speed. Generally, the intelligent terminal activates the WiFi network and the mobile data network simultaneously, so as to switch to access to one network when the performance of the other network is poor, for example, to switch to networking through the mobile data network when the performance of the WiFi network is poor. However, the method for accessing the network also has some drawbacks, for example, if the signal of the WiFi network currently used by the user frequently changes between good and bad, the smart terminal needs to detect the signal strength of the WiFi network at any time, and then determines which network needs to be switched to, thereby increasing the power consumption of the smart terminal and causing unstable data transmission.
Disclosure of Invention
The application provides a method, a device, equipment and a computer readable storage medium for accessing a network, so as to reduce the power consumption of an intelligent terminal and increase the stability of data transmission.
In one aspect, the present application provides a method for accessing a network, including:
when an intelligent terminal is accessed to a current network, calling user access network behavior big data of the intelligent terminal, wherein the access network behavior big data comprise performance characteristics of the network accessed by the intelligent terminal and/or records of habits of a user of the intelligent terminal in using the network;
matching the current network or the current unaccessed network of the intelligent terminal with the access network behavior big data;
and if the current network or the current unaccessed network of the intelligent terminal can be matched with the access network behavior big data, determining to adopt an access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the access network behavior big data.
In another aspect, the present application provides an apparatus for accessing a network, including:
the data retrieval module is used for retrieving user access network behavior big data of the intelligent terminal when the intelligent terminal is accessed to the current network, wherein the access network behavior big data comprise performance characteristics of the network accessed by the intelligent terminal and/or records of habits of the user of the intelligent terminal in using the network;
the matching module is used for matching the current network or the current unaccessed network of the intelligent terminal with the access network behavior big data;
and the connection module is used for determining to adopt an access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user for using the network to connect to the corresponding network according to the access network behavior big data if the current network or the current unaccessed network of the intelligent terminal can be matched with the access network behavior big data.
In a third aspect, the present application provides an apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the above technical solution when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to the above-mentioned solution.
According to the technical scheme provided by the application, the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user for using the network are recorded in advance, and when the current network or the current network not accessed by the intelligent terminal can be matched with the behavior big data of the accessed network, the access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user for using the network is determined to be connected to the corresponding network according to the record. With intelligent terminal need constantly detect the signal strength of wiFi network among the prior art, and then cause the increase of intelligent terminal consumption, data transmission's unstability to compare, the technical scheme of this application need not constantly to detect the signal strength of wiFi network to can reduce intelligent terminal's consumption, increase data transmission's stability.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for accessing a network according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an apparatus for accessing a network according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In this specification, adjectives such as first and second may only be used to distinguish one element or action from another, without necessarily requiring or implying any actual such relationship or order. References to an element or component or step (etc.) should not be construed as limited to only one of the element, component, or step, but rather to one or more of the element, component, or step, etc., where the context permits.
In the present specification, the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The present application provides a method for accessing a network, as shown in fig. 1, which mainly includes steps S101 to S103, as detailed below:
step S101: and when the intelligent terminal is accessed to the current network, calling the big data of the behavior of the user accessing the network of the intelligent terminal, wherein the big data of the behavior of the user accessing the network comprises the performance characteristics of the network accessed by the intelligent terminal and/or the record of the habit of the user using the network of the intelligent terminal.
In the embodiment of the application, the access network behavior big data comprises performance characteristics of a network accessed by the intelligent terminal and/or records of habits of users of the intelligent terminal in using the network, wherein the habits of the users of the intelligent terminal in using the network can be formed in advance, namely, the habits of the users in using the network are learned and formed through collecting daily information of the users of the intelligent terminal in using the network. Specifically, since the daily life track of the user of the smart terminal is regularly tracked, a process may be used to collect relatively regular information of a period of time (e.g., greater than or equal to 15 natural days) of the user, including a location where the user stays (e.g., home, company, or business exceeds, etc.), information of a mobile network accessed by the location where the user stays (e.g., an operator or base station identifier of the mobile network, etc.), an identifier of a WiFi network accessed by the location where the user stays, a signal strength of the WiFi network accessed by the location where the user stays, a connection status of the WiFi network for a certain period of time, a connection status of the mobile network, and a data access amount, etc. After a large amount of daily information of the users using the network is collected, habits of the users using the network can be learned and formed, for example, although a place where the users stay is a daily work place of the users, by learning a WiFi network where the users do not like to connect the daily work place (for example, a smart terminal of the user is hardly connected with the WiFi network or the connection with the WiFi network is actively disconnected in less than 3 minutes although the connection is occasionally made), the users do not tend to connect the WiFi network, and the WiFi network can be marked as a WiFi network to which the users do not actively connect. The collected daily information of the user using the network and the learned habit of the user using the network of the intelligent terminal constitute the access network behavior big data mentioned in the embodiment of the application.
It should be noted that, since the access network behavior big data mentioned in the foregoing embodiment includes a large amount of privacy information of the user of the smart terminal, for the sake of security (for example, to prevent a third party application from reading the access network behavior big data), the access network behavior big data may be encrypted and then stored in the smart terminal. It should be noted that the access network behavior big data can also be made into tags (tags) containing the daily information of the users using the network, and the main difference between each tag is the location where the user of the intelligent terminal stays and the identification of the WiFi network accessed at the location where the user stays.
Step S102: and matching the current network accessed by the intelligent terminal or the behavior big data of the current unaccessed network and accessed network of the intelligent terminal.
In terms of the current technical development, in the embodiment of the present application, the current network accessed by the intelligent terminal is either a mobile network (for example, a network of a mobile operator such as china mobile, china unicom, or chinese telecommunications), or a short-range communication network such as a WiFi network. Therefore, as an embodiment of the present application, matching the current network accessed by the intelligent terminal or the current non-accessed network and accessed network behavior big data of the intelligent terminal may be implemented through step S1021 and step S1022, which are described in detail as follows:
step S1021: and if the current network accessed by the intelligent terminal is a WiFi network, matching the current position of the intelligent terminal with the position of a target WiFi network in the access network behavior big data according to the principle of priority of the access position, wherein the target WiFi network is the WiFi network previously accessed by the intelligent terminal.
As described above, the access network behavior big data records the location where the user of the intelligent terminal stays, the information of the mobile network accessed by the location where the user stays, the identification of the WiFi network accessed by the location where the user stays, and the like, for a period of time. The current position of the intelligent terminal is matched with the position of the target WiFi network in the access network behavior big data according to the principle that the access position is prior, namely, the current position of the intelligent terminal is matched with the position of the target WiFi network in the access network behavior big data firstly during matching, or the current position of the intelligent terminal is matched with the position where a user of the intelligent terminal stays in the label of the access network behavior big data firstly, but other information in the access network behavior big data is not matched. It should be noted that the target WiFi network in the big data of the access network behavior is any WiFi network that the smart terminal has accessed before the current time.
Step S1022: and if the current position of the intelligent terminal is the access place of the target WiFi network, matching the current WiFi network accessed by the intelligent terminal with the target WiFi network.
The access point of the target WiFi network refers to a point when the smart terminal accesses the target WiFi network, for example, if the smart terminal has accessed a certain target WiFi network at home or a company of a user of the smart terminal, the home or the company of the user of the smart terminal is the access point of the target WiFi network.
And if the current position of the intelligent terminal is the access place of the target WiFi network, matching the current WiFi network accessed by the intelligent terminal, namely the WiFi network accessed by the intelligent terminal at the current position with the target WiFi network.
As an embodiment of the present application, matching the current behavior big data of the non-access network and the access network of the intelligent terminal may be implemented through step S '1021 and step S' 1022, which are described in detail as follows:
step S' 1021: and if the current network accessed by the intelligent terminal is a mobile network, matching the current position of the intelligent terminal with the position of a target WiFi network in the access network behavior big data according to the principle of priority of the access position, wherein the target WiFi network is a WiFi network previously accessed by the intelligent terminal.
As can be seen from the comparison with step S1021, whether the current network accessed by the intelligent terminal is a WiFi network or a mobile network (e.g., a 5G mobile network), the current location of the intelligent terminal is matched with the location of the target WiFi network in the access network behavior big data according to the access location-first principle, and the meaning of the matching of the current location of the intelligent terminal with the location of the target WiFi network in the access network behavior big data according to the access location-first principle in step S1021 is also the same.
Step S' 1022: and if the current position is the access place of the target WiFi network, matching the current position intelligent terminal which is not accessed into the WiFi network with the target WiFi network.
As described above, if the current network accessed by the intelligent terminal is a mobile network, the network currently not accessed by the intelligent terminal at the current location may be a WiFi network. And when the current position is the access place of the target WiFi network, matching the current position intelligent terminal which is not accessed into the WiFi network with the target WiFi network.
Step S103: and if the current network accessed by the intelligent terminal or the current unaccessed network of the intelligent terminal can be matched with the behavior big data of the accessed network, determining to adopt an access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the behavior big data of the accessed network.
Corresponding to step S1021 and step S1022 of the foregoing embodiment, if the current network accessed by the intelligent terminal can be matched with the access network behavior big data, determining to connect to the corresponding network by using an access policy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network according to the access network behavior big data may be: if the current WiFi network accessed by the intelligent terminal is the target WiFi network, determining that the target WiFi network is the WiFi network with the access performance below a preset threshold value through the access network behavior big data; when the intelligent terminal is connected to the WiFi network with the access performance below the preset threshold value, the intelligent terminal is connected to the mobile network which resides near the WiFi network with the access performance below the preset threshold value. For example, if the current location of the smart terminal is the home of the user of the smart terminal, and the current WiFi network accessed by the smart terminal is the WiFi network in the home of the user of the smart terminal accessing the network behavior big data record, such as the WiFi network identified as WiFi-house-1, and further, the performance of the WiFi network identified as WiFi-house-1 is determined to be below the preset threshold value through the access network behavior big data (for example, the WiFi network is disconnected after accessing for about 3 minutes often, or the packet loss rate is 3 packets/minute, etc.), the smart terminal is connected to the mobile network residing near the WiFi network with the access performance below the preset threshold value, that is, the smart terminal is connected to the mobile network residing near the WiFi network identified as WiFi-house-1 in advance, so, when the performance of the WiFi network identified as WiFi-house-1 is poor, a mobile network residing near a WiFi network identified as WiFi-house-1 may be automatically used.
Corresponding to step S '1021 and step S' 1022 of the foregoing embodiment, if the current unaccessed network of the intelligent terminal can be matched with the access network behavior big data, determining to connect to the corresponding network by using the access policy matched with the performance characteristic of the network accessed by the intelligent terminal and/or the habit of the user using the network according to the access network behavior big data may be implemented by steps S1031 to S1033, which are described as follows:
step S1031: and if the current unaccessed network of the intelligent terminal is matched with the target WiFi network, determining the connection duration of the intelligent terminal and the target WiFi network within a period of time nearest to the current moment through the recorded habit of the user for using the network.
As described above, the habit of the user of the intelligent terminal using the network is formed in the big data of the behavior of the access network by continuous learning. In steps S '1021 and S' 1022 of the above embodiment, the technical solution described is that the current network accessed by the intelligent terminal is a mobile network. At this time, if the current unaccessed network of the intelligent terminal is matched with the target WiFi network, the connection duration of the intelligent terminal and the target WiFi network within a period of time closest to the current moment is determined according to the recorded habit of the user for using the network. For example, if the user who does not access the network currently is a WiFi network (identified as WiFi-company-1) of a company, the recorded habit of the user using the network determines that the smart terminal is connected to the WiFi network identified as WiFi-company-1 within a period of time closest to the current time, for example, within the previous week.
Step S1032: and if the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current moment does not exceed the preset time length, only connecting the intelligent terminal and the currently accessed mobile network.
If the connection duration between the intelligent terminal and the target WiFi network within a period of time closest to the current time does not exceed a preset duration (for example, 3 minutes), it indicates that the experience of the user of the intelligent terminal is not good when using the target WiFi network (the reason may be that the performance of the target WiFi network is poor, for example, the target WiFi network is frequently disconnected, and packet loss occurs, and at this time, the intelligent terminal should not be connected to the target WiFi network, but only to the currently accessed mobile network.
Step S1033: if the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current moment exceeds the preset time length, the intelligent terminal is connected to the target WiFi network when the intelligent terminal is connected with the currently accessed mobile network.
If the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current time exceeds the preset time length, it is indicated that the experience of the user of the intelligent terminal is better when the user uses the target WiFi network (the reason may be that the performance of the target WiFi network is stable, and abnormality such as disconnection, packet loss and the like does not occur), when the intelligent terminal is connected with the currently accessed mobile network, the intelligent terminal is connected to the target WiFi network, and the mobile network (for example, a 5G mobile network) and the target WiFi network can be adopted for transmission together, so that the performance is more stable, and better use experience is brought to the user.
As can be known from the method for accessing a network illustrated in fig. 1, since the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network are recorded in advance, when the current network or the current network not accessed by the intelligent terminal can be matched with the big data of the behavior of the access network, it is determined to connect to the corresponding network by using the access policy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network according to the record. With intelligent terminal need constantly detect the signal strength of wiFi network among the prior art, and then cause the increase of intelligent terminal consumption, data transmission's unstability to compare, the technical scheme of this application need not constantly to detect the signal strength of wiFi network to can reduce intelligent terminal's consumption, increase data transmission's stability.
Referring to fig. 2, a device for accessing a network according to an embodiment of the present application may include a data retrieving module 201, a matching module 202, and a connection module 203, which are described in detail as follows:
the data retrieval module 201 is configured to retrieve user access network behavior big data of the intelligent terminal when the intelligent terminal accesses the current network, where the access network behavior big data includes performance characteristics of a network to which the intelligent terminal is accessed and/or a record of habits of a user of the intelligent terminal in using the network;
the matching module 202 is used for matching the current network or the current unaccessed network of the intelligent terminal with the behavior big data of the accessed network;
and the connection module 203 is configured to determine, according to the big data of the access network behavior, to connect to the corresponding network by using an access policy that matches performance characteristics of the network to which the intelligent terminal is connected and/or a habit of a user using the network, if the current network or the current unaccessed network of the intelligent terminal can be matched with the big data of the access network behavior.
Optionally, the matching module 202 may include a first location matching unit and a first network matching unit, wherein:
the first place matching unit is used for matching the current position of the intelligent terminal with the place of a target WiFi network in the access network behavior big data according to the principle of priority of the access place if the current network accessed by the intelligent terminal is the WiFi network, wherein the target WiFi network is a WiFi network which is accessed by the intelligent terminal before;
and the first network matching unit is used for matching the current WiFi network accessed by the intelligent terminal with the target WiFi network if the current position of the intelligent terminal is the access place of the target WiFi network.
Alternatively, the connection module 203 may include a first determination unit and a first connection unit, wherein:
the first determining unit is used for determining that the target WiFi network is the WiFi network with the access performance below a preset threshold value through the access network behavior big data if the current WiFi network accessed by the intelligent terminal is the target WiFi network;
the intelligent terminal comprises a first connecting unit and a second connecting unit, wherein the first connecting unit is used for connecting the intelligent terminal to a mobile network which resides near a WiFi network with the access performance below a preset threshold when the intelligent terminal is connected to the WiFi network with the access performance below the preset threshold.
Optionally, the matching module 202 may include a second location matching unit and a second network matching unit, wherein:
the second location matching unit is used for matching the current position of the intelligent terminal with the location of a target WiFi network in the access network behavior big data according to the principle of priority of the access location if the current network accessed by the intelligent terminal is a mobile network, wherein the target WiFi network is a WiFi network which is accessed by the intelligent terminal before;
and the second network matching unit is used for matching the current position of the intelligent terminal, which is not accessed into the WiFi network currently, with the target WiFi network if the current position of the intelligent terminal is the access place of the target WiFi network.
Optionally, the connection module 203 may include a second determination unit, a second connection unit, and a third connection unit, where:
the second determining unit is used for determining the connection duration of the intelligent terminal and the target WiFi network within a period of time closest to the current moment through the recorded habit of the user for using the network if the intelligent terminal is not currently accessed into the network and is matched with the target WiFi network;
the second connection unit is used for connecting the intelligent terminal with the currently accessed mobile network only if the connection time length of the intelligent terminal with the target WiFi network within a period of time closest to the current time does not exceed the preset time length;
and the third connecting unit is used for connecting the intelligent terminal to the target WiFi network when the intelligent terminal is connected with the currently accessed mobile network if the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current moment exceeds the preset time length.
Optionally, the apparatus illustrated in fig. 2 may further include a learning module, configured to learn and form a habit of the user using the network through collection of daily information of the user using the network of the smart terminal.
Optionally, the apparatus illustrated in fig. 2 may further include an encryption module, configured to encrypt the access network behavior big data and store the encrypted access network behavior big data in the intelligent terminal.
Fig. 3 is a schematic structural diagram of an apparatus provided in an embodiment of the present application. As shown in fig. 3, the apparatus 3 of this embodiment mainly includes: a processor 30, a memory 31 and a computer program 32 stored in the memory 31 and executable on the processor 30, such as a program of a method of accessing a network. The processor 30, when executing the computer program 32, implements the steps in the above-described method embodiment of accessing a network, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the data retrieval module 201, the matching module 202 and the connection module 203 shown in fig. 2.
Illustratively, the computer program 32 of the method of accessing a network mainly comprises: when the intelligent terminal is accessed to the current network, accessing network behavior big data of a user of the intelligent terminal, wherein the network behavior big data comprises performance characteristics of the network accessed by the intelligent terminal and/or records of habits of the user of the intelligent terminal in using the network; matching the current network or the current unaccessed network behavior big data of the intelligent terminal with the accessed network behavior big data; and if the current network or the current unaccessed network of the intelligent terminal can be matched with the behavior big data of the accessed network, determining to adopt an access strategy matched with the performance characteristics of the accessed network of the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the behavior big data of the accessed network. The computer program 32 may be partitioned into one or more modules/units, which are stored in the memory 31 and executed by the processor 30 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 32 in the device 3. For example, the computer program 32 may be divided into functions of the data retrieving module 201, the matching module 202, and the connection module 203 (modules in the virtual device), and the specific functions of each module are as follows: the data retrieval module 201 is configured to retrieve user access network behavior big data of the intelligent terminal when the intelligent terminal accesses the current network, where the access network behavior big data includes performance characteristics of a network to which the intelligent terminal is accessed and/or a record of habits of a user of the intelligent terminal in using the network; the matching module 202 is used for matching the current network or the current unaccessed network of the intelligent terminal with the behavior big data of the accessed network; and the connection module 203 is configured to determine, according to the big data of the access network behavior, to connect to the corresponding network by using an access policy that matches performance characteristics of the network to which the intelligent terminal is connected and/or a habit of a user using the network, if the current network or the current unaccessed network of the intelligent terminal can be matched with the big data of the access network behavior.
The device 3 may include, but is not limited to, a processor 30, a memory 31. Those skilled in the art will appreciate that fig. 3 is merely an example of a device 3 and does not constitute a limitation of device 3 and may include more or fewer components than shown, or some components in combination, or different components, e.g., a computing device may also include input-output devices, network access devices, buses, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the device 3, such as a hard disk or a memory of the device 3. The memory 31 may also be an external storage device of the device 3, such as a plug-in hard disk provided on the device 3, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 31 may also include both an internal storage unit of the device 3 and an external storage device. The memory 31 is used for storing computer programs and other programs and data required by the device. The memory 31 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned functions may be distributed as required to different functional units and modules, that is, the internal structure of the apparatus may be divided into different functional units or modules to implement all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the above-mentioned apparatus may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/device and method may be implemented in other ways. For example, the above-described apparatus/device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a non-transitory computer readable storage medium. Based on such understanding, all or part of the processes in the method of the embodiments described above may also be implemented by instructing related hardware through a computer program, where the computer program of the method for accessing a network may be stored in a computer-readable storage medium, and when being executed by a processor, the computer program may implement the steps of the embodiments of the methods described above, that is, when the intelligent terminal accesses a current network, big data of network access behavior of a user of the intelligent terminal is called, where the big data of network access behavior includes performance characteristics of a network to which the intelligent terminal accesses and/or records of habits of the user of the intelligent terminal in using the network; matching the current network or the current unaccessed network behavior big data of the intelligent terminal with the accessed network behavior big data; and if the current network or the current unaccessed network of the intelligent terminal can be matched with the behavior big data of the accessed network, determining to adopt an access strategy matched with the performance characteristics of the accessed network of the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the behavior big data of the accessed network. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The non-transitory computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the non-transitory computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, non-transitory computer readable media does not include electrical carrier signals and telecommunications signals as subject to legislation and patent practice. The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
The above-mentioned embodiments, objects, technical solutions and advantages of the present application are described in further detail, it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present application, and are not intended to limit the scope of the present application, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present application should be included in the scope of the present invention.
Claims (10)
1. A method for accessing a network, the method comprising:
when an intelligent terminal is accessed to a current network, calling user access network behavior big data of the intelligent terminal, wherein the access network behavior big data comprise performance characteristics of the network accessed by the intelligent terminal and/or records of habits of a user of the intelligent terminal in using the network;
matching the current network or the current unaccessed network of the intelligent terminal with the access network behavior big data;
and if the current network or the current unaccessed network of the intelligent terminal can be matched with the access network behavior big data, determining to adopt an access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user using the network to connect to the corresponding network according to the access network behavior big data.
2. The method of accessing a network of claim 1, wherein the matching the current network to the access network behavior big data comprises:
if the current network accessed by the intelligent terminal is a WiFi network, matching the current position of the intelligent terminal with the position of a target WiFi network in the access network behavior big data according to an access position priority principle, wherein the target WiFi network is a WiFi network previously accessed by the intelligent terminal;
and if the current position is the access place of the target WiFi network, matching the current WiFi network accessed by the intelligent terminal with the target WiFi network.
3. The method for accessing the network according to claim 2, wherein if the current network and the access network behavior big data can be matched, determining to connect to the corresponding network using an access policy matched with the performance characteristics of the network accessed by the smart terminal and/or the habit of the user using the network according to the access network behavior big data comprises:
if the current WiFi network accessed by the intelligent terminal is the target WiFi network, determining that the target WiFi network is the WiFi network with the access performance below a preset threshold value through the access network behavior big data;
when the intelligent terminal is connected to the WiFi network with the access performance below a preset threshold value, the intelligent terminal is connected to a mobile network which resides near the WiFi network with the access performance below the preset threshold value.
4. The method for accessing the network according to claim 1, wherein the matching the smart terminal behavior big data with the currently unaccessed network comprises:
if the current network accessed by the intelligent terminal is a mobile network, matching the current position of the intelligent terminal with the position of a target WiFi network in the behavior big data of the access network according to the principle of priority of the access position, wherein the target WiFi network is a WiFi network previously accessed by the intelligent terminal;
and if the current position is the access place of the target WiFi network, matching the current position with the target WiFi network without accessing the WiFi network of the intelligent terminal.
5. The method for accessing the network according to claim 4, wherein if the smart terminal does not currently access the network and the access network behavior big data can be matched, determining to connect to the corresponding network by using an access policy matched with the performance characteristics of the network accessed by the smart terminal and/or the habit of a user using the network according to the access network behavior big data comprises:
if the current unaccessed network of the intelligent terminal is matched with the target WiFi network, determining the connection duration of the intelligent terminal and the target WiFi network within a period of time closest to the current moment through the recorded habit of the user for using the network;
if the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current moment does not exceed a preset time length, only connecting the intelligent terminal and the currently accessed mobile network;
if the connection time length of the intelligent terminal and the target WiFi network within a period of time closest to the current moment exceeds the preset time length, the intelligent terminal is connected to the target WiFi network when the intelligent terminal is connected with the currently accessed mobile network.
6. The method of accessing a network according to any one of claims 1 to 5, wherein the method further comprises:
and learning and forming the habit of the user using the network by collecting the daily information of the user using the network.
7. The method of accessing a network according to any one of claims 1 to 5, wherein the method further comprises:
and encrypting the access network behavior big data and storing the encrypted access network behavior big data to the intelligent terminal.
8. An apparatus for accessing a network, the apparatus comprising:
the data retrieval module is used for retrieving user access network behavior big data of the intelligent terminal when the intelligent terminal is accessed to the current network, wherein the access network behavior big data comprise performance characteristics of the network accessed by the intelligent terminal and/or records of habits of the user of the intelligent terminal in using the network;
the matching module is used for matching the current network or the current unaccessed network of the intelligent terminal with the access network behavior big data;
and the connection module is used for determining to adopt an access strategy matched with the performance characteristics of the network accessed by the intelligent terminal and/or the habit of the user for using the network to connect to the corresponding network according to the access network behavior big data if the current network or the current unaccessed network of the intelligent terminal can be matched with the access network behavior big data.
9. An apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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