CN112235814A - Cloud SIM card wireless network optimization method, terminal device and server device - Google Patents
Cloud SIM card wireless network optimization method, terminal device and server device Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/0085—Hand-off measurements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
- H04W36/305—Handover due to radio link failure
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Abstract
The invention provides a cloud SIM card wireless network optimization method, a terminal device and a server device, wherein the method comprises the following steps: the server side judges whether the terminal accords with an idle state or not according to scene information reported by the terminal, wherein the scene information comprises a behavior state and a data state; if the terminal accords with the idle state, judging whether the terminal needs to carry out network optimization; if the terminal needs network optimization, the server side performs network optimization calculation by using the information of the nearby terminal, and obtains an operator speed measurement information list related to the information of the nearby terminal through the network optimization calculation; the server side sends the operator speed measurement information list to the terminal; and the terminal switches to enter the optimal network according to the speed measurement information list of the operator. The method and the device have strong expansibility, and flexibly change an optimization strategy by acquiring data samples; the method is independent and autonomous, and can autonomously optimize the network; low consumption of computer resources and high operation efficiency.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a cloud SIM card wireless network optimization method, a terminal side device and a server side device.
Background
Because the communication frequency bands supported by different operators are different, and the areas covered by network signals are also different in different geographical position environments. Even in the same position, the network of the same operator can cause congestion along with the load of the access equipment in different time periods, and if the equipment can be dynamically identified and switched to other better operators in real time, the network quality can be better ensured.
At present, wireless internet access equipment is limited to use of a single operator sim card, different operator networks cannot be switched flexibly, or different operator networks can be switched, but the network cannot be dynamically, flexibly and spontaneously optimized, and network optimization modes such as operator network switching and the like are mainly executed passively by means of external instructions. The network selection mode has no data acquisition sample, has strong randomness, has low probability of being switched to the optimal network, and is more unscientific especially under the condition of more network operator cardinality. Furthermore, some network selection methods are too frequent to search and compare networks in order to keep a good network state, which wastes more computer resources, such as CPU and traffic.
Disclosure of Invention
In view of the above disadvantages of the prior art, an object of the present invention is to provide a cloud SIM card wireless network optimization method, a terminal device, and a server device, which have strong extensibility and flexibly change an optimization strategy by collecting data samples; the method is independent and autonomous, and can autonomously optimize the network; low consumption of computer resources and high operation efficiency.
The patent scheme provides a cloud SIM card wireless network optimization method, which comprises the following steps:
the method comprises the steps that a server side judges whether a terminal accords with an idle state according to scene information reported by the terminal, wherein the scene information comprises a behavior state and a data state;
if the terminal accords with the idle state, judging whether the terminal needs to carry out network optimization;
if the terminal needs network optimization, the server side performs network optimization calculation by using the information of the nearby terminal, and obtains an operator speed measurement information list related to the information of the nearby terminal through the network optimization calculation;
the server side sends the operator speed measurement information list to the terminal;
and the terminal switches to enter an optimal network according to the operator speed measurement information list.
Further, judging whether the terminal accords with a reporting scene or not according to the scene information of the terminal;
if the scene is consistent with the reported scene, reporting the scene information to a server;
wherein the reporting scenario includes at least one of the following scenarios:
starting up a search network, manually searching the network by a user, video blocking, waking up the search network in a dormant mode, monitoring data state and monitoring behavior state.
Further, the behavior state comprises at least one of the following parameters: remote control operation, HDMI connection, video playing and WIFI hotspot connection are performed;
the data states include: the number of the current startup sequence, the time length of the current startup, the used traffic of the current startup, the current address, the longitude, the latitude, the network signal strength, the data type, the network operator and the network speed.
Further, the step that the server judges whether the terminal accords with the idle state according to the scene information comprises the following steps:
and if the used flow in the counting period is smaller than the threshold value, the starting serial number of the current time is the same as the latest counting starting serial number, and the behavior state does not exist, the terminal accords with the idle state.
Further, if the number of video pauses in the statistical period is greater than a threshold, or
If the network signal strength is less than or equal to the threshold value, or the network speed is less than the threshold value, the terminal needs to perform network optimization.
The invention also provides a cloud SIM card wireless network optimization terminal side device, which comprises:
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for sending scene information to a server, and the scene information comprises a behavior state and a data state;
the receiving module is used for receiving the operator speed measurement information list fed back by the server side;
and the network switching module is used for switching to enter an optimal network according to the operator speed measurement information list.
Further, the scene judging module is used for judging whether the terminal accords with a reporting scene or not according to the scene information, and reporting the scene information to a server if the terminal accords with the reporting scene;
wherein the reporting scenario includes at least one of the following scenarios:
starting up a search network, manually searching the network by a user, video blocking, waking up the search network in a dormant mode, monitoring data state and monitoring behavior state.
The invention also provides a cloud SIM card wireless network optimization service end side device, which comprises:
the receiving module is used for receiving scene information sent by the terminal;
the idle judging module is used for judging whether the terminal is in an idle state or not according to the scene information;
the optimization judgment module is used for judging whether the terminal needs to perform network optimization;
the optimization calculation module is used for performing optimization calculation by using the information of the nearby terminal to obtain an operator speed measurement information list related to the information of the nearby terminal;
and the sending module is used for feeding back the operator speed measurement information list to the terminal.
Further, the idle determination module is configured to determine whether the used flow rate in the statistical period is smaller than a threshold, and
and the starting serial number of the time is the same as the starting serial number which is counted recently in sequence, and the terminal accords with the idle state if the behavior state does not exist.
Further, the optimization judgment module is configured to judge that the terminal needs to perform network optimization if the video blocking number in the statistical period is greater than a threshold, or the network signal strength is less than or equal to the threshold, or the network speed is less than the threshold.
The improvement of this patent brings the following advantage:
(1) the network optimization method has the advantages that the expansibility is strong, the network optimization strategy can be dynamically changed, the network optimization of any operator network is flexibly supported with the help of a server, and the network optimization method is not limited to the local limited resource storage of equipment and a single fixed network optimization strategy;
(2) the method is not limited by the fact that the terminal singly judges the flow consumption in unit time to confirm that the terminal accords with the idle state, but monitors and collects the terminal state information according to flexible and configurable strategy rules by combining with the local and submits the terminal state information to the server, the idle state of the equipment is comprehensively and accurately obtained by utilizing data analysis of the server, an operator network optimization execution strategy is obtained by calculation according to historical data and nearby terminal information, and the accuracy of selecting the optimal operator network by the terminal is rapidly improved;
(3) the network and terminal information is automatically acquired, the network is spontaneously optimized, the user operation is reduced, and the user experience is enhanced; by means of multiple network optimization pre-judgment, such as idle state judgment, network optimization selection judgment and the like, the situation that the network is searched and compared too frequently is prevented, computing resources and network resources are saved, and the operation efficiency of the terminal is improved.
Drawings
Fig. 1 is a schematic flow chart of a cloud SIM card wireless network optimization method according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a second embodiment of a cloud SIM card wireless network optimization method according to the present invention;
fig. 3 is a schematic structural diagram of a cloud SIM card wireless internet access system according to a third embodiment of the present invention;
fig. 4 is a schematic diagram of a network optimization process of a cloud SIM card wireless internet access system according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a cloud SIM card wireless network optimization terminal-side apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a cloud SIM card wireless network optimization server-side device in a third embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
The embodiment provides a cloud SIM card wireless network optimization method, which can judge whether a terminal 301 accords with an idle state according to scene information; if the state is in accordance with the idle state, judging whether network optimization is needed or not; if network optimization is needed, the result of the optimization calculation is sent to the terminal 301, and the terminal is switched to the optimal network.
In the embodiment of the application, a scene script is a professional term in the film and television industry, and refers to a living picture which is composed of certain people and people activities at a certain time and a certain place. The method extends to the technical field of communication, and particularly refers to certain behavior states occurring in equipment. For example, a user opens a certain mobile communication terminal 301, and the mobile communication terminal 301 is turned on and searches for a network; a video jam occurs when a user watches a video by using a certain mobile communication terminal 301; a mobile communication terminal 301 wakes up from a sleep state, etc., which are all scenarios described in this application.
And scene information corresponding to the scene comprises the behavior state and the data state of the device. For example, assuming that the apparatus is a home tv box, the behavior state may be that the user has a remote operation on the tv box, the tv box is connected to the tv through HDMI, the tv box is in a sleep state, and so on; the data status may be the power-on duration of the box, the used traffic, the current network speed, etc.
Alternatively, the scene may be defined by a scene model. The context model includes several fields in a behavior state and a data state. It is to be understood that a person skilled in the art may set any scenario required by the mobile communication terminal 301 according to the requirement of network optimization, and the embodiment of the present application is not limited to a specific scenario and a scenario model.
In the embodiment of the present application, the nearby terminal is a concept similar to a nearby person, and refers to a terminal 301 device that can communicate with a server within a certain distance nearby with the terminal 301 in the embodiment of the present application as an origin. When communicating with the server, the nearby terminals report information such as time, network strength, network speed, network operator and the like to the server, that is, the nearby terminal information in the embodiment of the present application.
In embodiment 1 of the present application, referring to fig. 1, the cloud SIM card wireless network optimization method includes the following steps:
s101: the server side judges whether the terminal 301 accords with an idle state according to the scene information reported by the terminal 301;
further, the behavior state in the scenario information includes at least one of the following parameters: remote control operation, HDMI connection, video playing and WIFI hotspot connection are performed; the data states include: the number of the current startup sequence, the time length of the current startup, the used traffic of the current startup, the current address, the longitude, the latitude, the network signal strength, the data type, the network operator and the network speed.
Optionally, the behavior state basic parameters are as follows:
| with remote control operation | With HDMI connection | With playing video | With WIFI hotspot connection | |
| With a behavioral state meter as 1 | 1 | 1 | 1 | 1 |
| The no-behavior state is 0 | 0 | 0 | 0 | 0 |
The HDMI connection means that the mobile communication terminal 301 is connected to the screen through a high-definition multimedia interface (HDMI) and the screen is being turned on; the WIFI hotspot connection parameter may be a specific number of connected devices, for example, if there are 3 devices connected through the WIFI hotspot opened by the mobile communication terminal 301, the parameter is 3. In order to better manage the WIFI hotspot connection, the terminal devices actively operated by the user are distinguished from the terminal devices operating autonomously, so as to identify whether the user is in an idle state with respect to the use of the network, optionally, the terminal devices connected to the WIFI hotspot are classified or categorized; optionally, the behavior state of the terminal device connected with the WIFI hotspot without manual operation is recorded as 0, for example, an intelligent air conditioner without remote control operation, an intelligent washing machine running autonomously, and the like.
Optionally, the data state basic parameters are as follows:
the current power-on serial number refers to a number generated by the mobile communication terminal 301 when the mobile communication terminal is powered on, and the format of the number is yyyyMMddHHmmss, for example 20200603153302;
the unit of the starting time length of this time is second/S, such as 76331S;
the current startup uses the traffic, the unit is bit/B, for example 15593867B;
the current address refers to an administrative address where the current mobile communication terminal 301 is located, such as national provinces, cities, counties, and the like;
longitude and latitude, such as N112.59, E28.12;
the network signal strength refers to the signal strength of the operator network to which the mobile communication terminal 301 is currently connected, the strength is represented by a natural number 0-5, and is gradually increased from 0 to 5, and if the current strength is 4, the signal strength is stronger;
the data type represents the reported scene, the number 1 represents the startup searching network, the number 2 represents the manual searching network of the user, the number 3 represents the statistics of the video card pause, the number 4 represents the dormancy awakening report, the number 5 represents the data state monitoring, and the number 6 represents the behavior state monitoring;
network operators, such as china mobile, china telecommunications;
the wire speed refers to the transmission speed of the operator network and has the unit of KB/S, such as 31067.86 KB/S.
Further, if the used flow in the statistical period is smaller than the threshold, and the current startup serial number is the same as the latest statistical startup serial number, and there is no behavior state, the terminal 301 conforms to the idle state; if the above conditions are not met, the terminal 301 is judged not to be in an idle state, and the judgment of the next stage is not carried out; the statistic period refers to a parameter for the mobile communication terminal 301 to periodically count the data state of the terminal 301, and the period can be flexibly set by a person skilled in the art according to the actual needs of the terminal 301, for example, counting every 30 minutes; when the used flow in the statistical period is equal to the used flow of the starting-up at the end of the statistical period, the used flow of the starting-up at the beginning of the statistical period; the used traffic threshold within the statistical period can be flexibly set by a person skilled in the art according to the actual needs of the terminal 301.
In the embodiment of the application, before network optimization is performed, the idle state is judged first, and network optimization is performed only in a time period when a user does not frequently use the terminal 301; not only can the network optimization be carried out by using the idle state of the terminal 301, avoiding the busy period of using the terminal 301 by a user, improving the operation efficiency of the terminal 301, improving the user experience, and fully utilizing the computer resources and the network resources in the idle time; and as the pre-judgment of network optimization, the terminal 301 can also reduce the frequency of network searching and network comparison, and the computing resources of the terminal 301 are saved.
Optionally, the method for determining the idle state of the terminal 301 includes: (current statistical time-the latest statistical time in turn > -30 minutes) and (currently used flow-the latest used flow ≦ 5M) and (current boot sequence ≦ the latest statistical boot sequence) and (all behavioral states ≦ 0); if the above conditions are satisfied, it is determined that the terminal 301 is in the idle state, and determination as to whether network optimization is required may be continued.
S102: if the terminal 301 conforms to the idle state, determining whether the terminal 301 needs to perform network optimization;
further, if the video blocking number of times in the statistical period is greater than a threshold, or the network signal strength is less than or equal to the threshold, or the network speed is less than the threshold, the terminal 301 needs to perform network optimization; if the above conditions are not met, it is determined that the terminal 301 does not need to perform network optimization and does not enter the operation of the next stage.
In the embodiment of the application, the scene information is periodically counted by the terminal 301, and then the information is used for making a pre-determination on whether to perform network optimization, so that the efficiency and the accuracy of network optimization are improved, and meanwhile, the phenomenon that in the prior art, when network optimization is performed, a program acts without purposes and strategies is further reduced, the computing resources of the terminal 301 are saved, and the operating efficiency of the terminal 301 is improved.
Optionally, the precondition of network optimization is: (current statistics time-the latest statistics time in turn > -30 minutes) and (video cassette pause times >3or current network signal strength < -2 or line speed <1000 KB/S).
S103: if the terminal 301 needs network optimization, the server side performs network optimization calculation by using information of nearby terminals; as described above, the information of the nearby terminals includes scene information uploaded to the server by the nearby terminals 301 of the same type; optionally, the data samples may be acquired by data reported by the terminals 301 of the same type, or may be provided by data collected by a service provider and then collected to a service end, or provided by a third party; the server can analyze and arrange the information of the nearby terminals to obtain the network state distribution conditions of different operators nearby the terminal 301; optionally, an operator speed measurement information list about the nearby terminal information can be obtained through the network optimization calculation; the operator speed measurement information list may be a network speed list of terminals 301 of the same type within a certain range near the terminal 301, and optionally, the list may be arranged from fast to slow according to the speed of the network speed.
Optionally, a GeoHash algorithm is adopted to screen out nearby terminals within a range of 300m near the terminal 301 through longitude and latitude information uploaded by the nearby terminals.
Optionally, the operator speed measurement information list is arranged according to the network speed, and in consideration of the distance, the network strength at different time intervals, the network speed at different time intervals, and other fields may be added, and the above fields are used to form a network optimization model, for example, a big data sample is used to analyze the network relationship between each terminal 301 and a nearby terminal, and the optimal network of the terminal 301 is derived according to the scene information of the nearby terminal.
The embodiment of the application creatively uploads the data to the server side through the data acquisition of the nearby terminal, and then the server side utilizes a big data analysis method to model and analyze to deduce the optimal network of the terminal 301 in the current state, so that the problems that the current common network selection mode is adopted, no data acquisition sample exists, the randomness is strong, the probability is low, and the terminal is not scientific especially under the condition that the network operator has a large base number are solved; according to the method, the recommended operator network is obtained by collecting the behavior state and the data state of the equipment and collecting the reported data and comparing the network conditions around the equipment, so that the accuracy of switching the equipment to the standard network can be improved. Under the condition of a plurality of base numbers of network operators, the user experience is greatly improved, and the network searching efficiency and accuracy are improved.
S104: the server side sends the operator speed measurement information list to the terminal 301;
s105: the terminal 301 switches to enter an optimal network according to the operator speed measurement information list; optionally, after receiving the operator speed measurement information list, the terminal 301 may directly select the optimal network given in the list for switching, or may select the optimal network for switching after performing speed measurement on the operator networks in the list one by one.
In the embodiment of the application, the terminal 301 only collects data and receives a network optimization strategy, and does not need to perform complex network calculation and comparison, and a large amount of calculation and optimization are completed by the server, so that efficient utilization of cloud resources is realized, the calculation resources of the terminal 301 are saved, and the accuracy and efficiency of network optimization are also greatly improved.
In order to further improve the network optimization efficiency and save the computing resources and the network resources, the present application further provides embodiment 2, please refer to fig. 2, and embodiment 2 provides a cloud SIM card wireless network optimization method, which includes the following steps:
s201: judging whether the terminal 301 accords with a reporting scene or not according to the scene information of the terminal 301; the reporting scene comprises the following steps: starting a searching network, manually searching the network by a user, blocking a video, awakening the searching network by dormancy, monitoring a data state and monitoring a behavior state;
s202: if the scene is consistent with the reported scene, reporting the scene information to a server;
s203: the server side judges whether the terminal 301 accords with an idle state according to the scene information reported by the terminal 301;
s204: if the terminal 301 conforms to the idle state, determining whether the terminal 301 needs to perform network optimization;
s205: if the terminal 301 needs network optimization, the server performs network optimization calculation by using information of a nearby terminal, and obtains an operator speed measurement information list related to the information of the nearby terminal through the network optimization calculation;
s206: the server side sends the operator speed measurement information list to the terminal 301;
s207: and the terminal 301 switches to enter an optimal network according to the operator speed measurement information list.
The behavior state monitoring is to collect and count periodic information of the behavior state of the terminal 301, for example, whether the terminal 301 is remotely controlled or not, whether a video is being played or not, and the like are monitored; if the behavior state monitoring judges that the behavior state of the terminal 301 is happening, the terminal 301 is not in an idle state for a while, and is not suitable for network optimization; if the behavior state is happening, the scene information is reported to the server, so that the server can master the information of the terminal 301 in real time, and judge that the terminal does not need to be subjected to network optimization temporarily, limited computer resources can be better allocated to other terminals 301, and the overall network optimization efficiency is improved.
Data state monitoring, which is to periodically collect and count data state information, for example, count the current network signal intensity, network speed, etc.; optionally, if the behavior state occurs in the data state monitoring statistical period, the data state monitoring restarts a new statistical period; for example, if a remote control operation is performed in the data state monitoring period, a new statistical period is restarted, and the data state parameters are re-counted; optionally, if a certain data state parameter exceeds a threshold value in a data state monitoring period, reporting scene information; for example, in the process of watching a video by using the terminal 301, if a video is stuck, after a monitoring threshold of a data state is reached (for example, the number of times of sticking exceeds y times in a unit duration of n seconds), the user submits scene information; optionally, if a certain data state parameter exceeds a threshold value in the data state monitoring period, the scene information is reported after the data state monitoring period is finished.
Embodiment 3 of the present application provides a cloud SIM card wireless network optimization terminal side device 3023 and a cloud SIM card wireless network optimization server side device 3042, where the two network optimization devices are arranged in a cloud SIM card wireless internet system, and the architecture of the cloud SIM card wireless internet system please refer to fig. 3; as shown in fig. 3, the cloud SIM card wireless internet access system includes: a wireless network device 302 connected with a mobile communication terminal 301 (terminal, computer, tablet, mobile phone, etc.), a background server 304 and a cloud card pool server 303 connected with the wireless network device 302 for communication respectively; the wireless network equipment 302 comprises an Android SDK3021 operating environment, a cloud SIM card internet module 3022, and a cloud SIM card wireless network optimization terminal side device 3023; the Android SDK3021 operating environment is used for performing data communication interaction with the background server 304, and the cloud SIM card internet module 3022 is responsible for connecting with an SIM card of the cloud card pool server 303 and performing distribution scheduling; the background server 304 includes a cloud management module 3041 and a cloud SIM card wireless network optimization server side device 3042, the cloud management module 3041 is responsible for managing the mobile communication terminal, including management functions such as a device account, a device state, and a device traffic; the cloud end card pool server 303 is used for storing, calling, allocating, authenticating, switching and the like of the cloud SIM card.
Please refer to fig. 4 for a network optimization process of the cloud SIM card wireless internet access system, which includes the following steps:
the mobile communication terminal 301 (a computer, a tablet, a mobile phone and the like) is started to start networking, the wireless network device 302 requests the cloud card pool server 303 to allocate a cloud SIM card, the cloud card pool server 303 returns SIM card authentication information, and the wireless network device 302 executes cloud SIM card registration, authentication and dial-up networking; the wireless network device 302 requests the background server 304 to activate login after executing network speed measurement, the background server 304 returns corresponding local network optimization strategy information, and the wireless network device 302 stores the local network optimization strategy and executes monitoring of the current state of the wireless network device 302; submitting the current state information to the background server 304 regularly or irregularly, and analyzing and storing the state information by the background server 304; the background server 304 returns a card-cutting speed-measuring instruction and attaches a network optimization execution strategy; the wireless network equipment 302 requests to execute the SIM card of the designated operator, and the cloud card pool server 303 executes the SIM card distribution and returns authentication information; the wireless network equipment 302 executes cloud SIM card registration, authentication and dial-up networking; the wireless network device 302 continues to execute network speed measurement and submits speed measurement information, and the background server 304 analyzes and stores the speed measurement information.
Specifically, as shown in fig. 5, the cloud SIM card wireless network optimization terminal side device 3023 includes: a sending module 30231, configured to send scene information to a server; a receiving module 30232, configured to receive the operator speed measurement information list network switching module 30233 fed back by the server, and configured to switch to enter an optimal network according to the operator speed measurement information list.
When network optimization is performed, the operation steps of the cloud SIM card wireless network optimization terminal side device 3023 are as follows:
optionally, first, when the wireless network device 302 initiates networking, the network operator card connected last time (last time) is selected for networking; if the network is networked for the first time (no networking record), carrying out real-time speed measurement on a plurality of (different) operator networks, judging whether a speed measurement result reaches a preset standard according to a specified operator sequence or a random mode, using the cards of the operators after the speed measurement result reaches the standard, or comparing and selecting an optimal network for card resource allocation after all the operator networks are completely tested;
then, monitoring the state of the current wireless network device 302 according to a default network optimization monitoring strategy of the terminal 301 or according to a network optimization monitoring strategy acquired by the server; optionally, when a reporting scene occurs in the terminal 301, reporting scene information to the background server 304; for example, in the process that a user watches a video by using a television box, if the video is blocked and reaches a monitoring strategy threshold value (for example, the number of times of blocking exceeds n times in a statistical period), the scene information is reported to the background server 304; optionally, the scene information may also be periodically reported to the background server 304;
finally, for the operator speed measurement information list returned by the background server 304, optionally, the optimal network in the list can be directly switched; optionally, the speed measurement information list of the operators can be measured one by one until the speed measurement of one operator network reaches the standard, or the speed measurement is performed once for all the operators and then the optimal operator network is selected; if none of the qualified persons reach the standard, network switching is not carried out or the operator network with the best test result in the unqualified persons is selected; optionally, after the speed measurement is finished, submitting the result and feeding back the result to the server, and recording and storing the result by the server for subsequent analysis.
Optionally, the cloud SIM card wireless network optimization terminal side device 3023 further includes a scene determining module, configured to determine whether the terminal 301 conforms to a reporting scene according to the scene information, and if so, report the scene information to a server.
Specifically, as shown in fig. 6, the cloud SIM card wireless network optimization server side device 3042 includes: a receiving module 30421, configured to receive the scene information sent by the terminal 301; an idle determining module 30422, configured to determine whether the terminal 301 is in an idle state according to the scene information; an optimization judging module 30423, configured to judge whether the terminal 301 needs to perform network optimization; an optimization calculation module 30424, configured to perform optimization calculation by using the information of the nearby terminal, so as to obtain an operator speed measurement information list related to the information of the nearby terminal; a sending module 30425, configured to feed back the operator speed measurement information list to the terminal 301.
When network optimization is performed, the cloud SIM card wireless network optimization server side device 3042 operates as follows:
first, optionally, the background server 304 collects terminal state information reported by each terminal 301, and records and stores the terminal state information;
then, when the terminal 301 submits the reported scene information, judging the idle state of the analysis equipment according to the scene information reported by the terminal 301; optionally, if the terminal is not in an idle state, continuing to calculate and record the information of the nearby terminal; if the terminal is in an idle state, analyzing according to a preset network optimization strategy threshold (such as a network stuck threshold strategy), and judging whether the terminal 301 needs to perform network optimization; if the network optimization is not needed, continuously calculating and recording the information of the nearby equipment;
and finally, if network optimization is needed, performing optimization calculation by using the information of the nearby terminal to obtain an operator speed measurement information list related to the information of the nearby terminal, and returning the operator speed measurement information list to the terminal 301 for network switching or switching after speed measurement.
Optionally, when the idle determining module 30422 determines whether the terminal 301 meets the idle state, if the used traffic in the counting period is smaller than the threshold, and the current power-on serial number is the same as the power-on serial number counted most recently in sequence, and the terminal 301 does not have an active state, it is determined that the terminal 301 meets the idle state.
Optionally, when determining whether the terminal 301 needs to perform network optimization, the optimization module determines that the terminal 301 needs to perform network optimization if the video blocking number in the statistical period is greater than a threshold, or the network signal strength is less than or equal to the threshold, or the network speed is less than the threshold.
The cloud SIM card wireless network optimization device provided by the invention has strong expansibility, can dynamically change network strategies, flexibly support network optimization of any operator network, and is not limited to local limited resource storage of equipment and a single fixed network optimization strategy;
the cloud SIM card wireless network optimization method is not limited by the fact that the terminal 301 singly judges the flow consumption in unit time to confirm that the terminal 301 is in an idle state, but monitors and collects terminal state information according to flexible and configurable strategy rules by combining with the local and submits the terminal state information to a server, the idle state of equipment is comprehensively and accurately obtained by utilizing data analysis of the server, an operator network optimization execution strategy is obtained by calculation according to historical data and nearby terminal information, and the accuracy of selecting the optimal operator network by the terminal 301 is rapidly improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A cloud SIM card wireless network optimization method is characterized by comprising the following steps:
the method comprises the steps that a server side judges whether a terminal accords with an idle state according to scene information reported by the terminal, wherein the scene information comprises a behavior state and a data state;
if the terminal accords with the idle state, judging whether the terminal needs to carry out network optimization;
if the terminal needs network optimization, the server side performs network optimization calculation by using the information of the nearby terminal, and obtains an operator speed measurement information list related to the information of the nearby terminal through the network optimization calculation;
the server side sends the operator speed measurement information list to the terminal;
and the terminal switches to enter an optimal network according to the operator speed measurement information list.
2. The cloud SIM card wireless network optimization method according to claim 1, further comprising:
judging whether the terminal accords with a reporting scene or not according to the scene information of the terminal;
if the scene is consistent with the reported scene, reporting the scene information to a server;
wherein the reporting scenario includes at least one of the following scenarios:
starting up a search network, manually searching the network by a user, video blocking, waking up the search network in a dormant mode, monitoring data state and monitoring behavior state.
3. The cloud SIM card wireless network optimization method according to claim 1 or 2, wherein the behavior state at least includes one of the following parameters: remote control operation, HDMI connection, video playing and WIFI hotspot connection are performed;
the data states include: the number of the current startup sequence, the time length of the current startup, the used traffic of the current startup, the current address, the longitude, the latitude, the network signal strength, the data type, the network operator and the network speed.
4. The cloud SIM card wireless network optimization method of claim 3, wherein the step of the server side judging whether the terminal is in an idle state according to the scene information comprises the steps of:
if the used flow in the statistical period is less than the threshold value, and
the serial number of the starting-up is the same as the serial number of the starting-up counted recently, and
in the absence of the said state of behaviour,
the terminal conforms to the idle state.
5. The method for optimizing the cloud SIM card wireless network according to claim 3, wherein the step of judging whether the terminal needs to perform network optimization comprises the following steps:
if the video blocking times in the statistical period are larger than the threshold value, or the network signal intensity is smaller than or equal to the threshold value, or
And if the network speed is less than the threshold value, the terminal needs to perform network optimization.
6. A cloud SIM card wireless network optimization terminal device is characterized by comprising:
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for sending scene information to a server, and the scene information comprises a behavior state and a data state;
the receiving module is used for receiving the operator speed measurement information list fed back by the server side;
and the network switching module is used for switching to enter an optimal network according to the operator speed measurement information list.
7. The cloud SIM card wireless network optimization terminal device of claim 6, further comprising:
the scene judging module is used for judging whether the terminal accords with a reporting scene or not according to the scene information, and reporting the scene information to a server side if the terminal accords with the reporting scene;
wherein the reporting scenario includes at least one of the following scenarios:
starting up a search network, manually searching the network by a user, video blocking, waking up the search network in a dormant mode, monitoring data state and monitoring behavior state.
8. A cloud SIM card wireless network optimization server side device is characterized by comprising:
the receiving module is used for receiving scene information sent by the terminal;
the idle judging module is used for judging whether the terminal is in an idle state or not according to the scene information;
the optimization judgment module is used for judging whether the terminal needs to perform network optimization;
the optimization calculation module is used for performing optimization calculation by using the information of the nearby terminal to obtain an operator speed measurement information list related to the information of the nearby terminal;
and the sending module is used for feeding back the operator speed measurement information list to the terminal.
9. The cloud SIM card wireless network optimization server device of claim 8, wherein the idle determining module is configured to determine whether the terminal is in an idle state according to the scene information, and includes:
an idle judgment module for judging if the used flow in the statistical period is less than the threshold value
The serial number of the starting-up is the same as the serial number of the starting-up counted recently, and
in the absence of the said state of behaviour,
the terminal conforms to the idle state.
10. The cloud SIM card wireless network optimization server apparatus according to claim 8 or 9, wherein the optimization judgment module is configured to judge whether the terminal needs to perform network optimization, and includes:
an optimization judgment module for judging if the video pause times in the statistical period is greater than a threshold value, or
Network signal strength is less than or equal to a threshold value, or
The speed of the network is less than the threshold,
the terminal needs to perform network optimization.
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