CN116634516A

CN116634516A - Cell information processing method, device, equipment and storage medium

Info

Publication number: CN116634516A
Application number: CN202310860977.XA
Authority: CN
Inventors: 吴诚; 罗志; 陈劲驹
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2023-07-13
Filing date: 2023-07-13
Publication date: 2023-08-22
Anticipated expiration: 2043-07-13
Also published as: CN116634516B

Abstract

The disclosure relates to a cell information processing method, device, equipment and storage medium, wherein the method comprises the following steps: responding to the terminal equipment meeting a first preset condition, acquiring line information of a target mobile line of the terminal equipment, wherein the line information comprises cell information of a target cell where the terminal equipment resides in the moving process of the target mobile line; and responding to the terminal equipment meeting a second preset condition, carrying out self-learning on the line information to obtain a cell self-learning result of the target mobile line, wherein the cell self-learning result is used for predicting and/or planning a cell where the terminal equipment resides in the future time. The method and the device can detect the cells with poor service quality in advance and timely and accurately optimize the cells with poor service quality so as to avoid the terminal equipment from residing in the cells with poor service quality, thereby improving the use experience of the user on the data service.

Description

Cell information processing method, device, equipment and storage medium

Technical Field

The disclosure relates to the technical field of mobile terminal communication, and in particular relates to a cell information processing method, device, equipment and storage medium.

Background

With the development of mobile communication technology, 4/5G networks are widely used. In the related art, there are several cells under the same base station, and the quality of service (such as signal strength, etc.) of the network service provided by each cell is also good or bad. The serving cell in which the mobile terminal such as a mobile phone resides is not constant. In the process of moving vehicles such as walking, taking buses or subways, the service cell where the mobile phone resides is changed along with the change of the position. If the cell with better service quality is switched to the cell with worse service quality, the use of the data service by the user may be affected, such as live broadcast blocking, and unsmooth video.

Therefore, how to intelligently identify the cells with poor service quality so as to predict and plan the cells where the mobile phone resides in advance, thereby effectively avoiding the influence of the user on the use of the data service, and becoming one of the technical problems to be solved in the present urgent need.

Disclosure of Invention

To overcome the problems in the related art, embodiments of the present disclosure provide a cell information processing method, apparatus, device, and storage medium, which are used to solve the drawbacks in the related art.

According to a first aspect of embodiments of the present disclosure, there is provided a cell information processing method, the method including:

in response to a terminal device meeting a first preset condition, acquiring line information of a target mobile line of the terminal device, wherein the line information comprises cell information of a target cell where the terminal device resides in a moving process of the target mobile line, and the cell information at least comprises one of a cell identifier and a service quality index value of the target cell;

and responding to the terminal equipment meeting a second preset condition, carrying out self-learning on the line information to obtain a cell self-learning result of the target mobile line, wherein the cell self-learning result is used for predicting and/or planning a cell where the terminal equipment resides in the future time.

In some embodiments, the method further comprises:

detecting the current time in response to the screen of the terminal equipment being lightened;

and responding to the current time belonging to a first preset time period, and determining that the terminal equipment meets the first preset condition.

In some embodiments, the target cell includes at least a start cell, a via point cell, and an end cell;

The obtaining the line information of the target mobile line of the terminal equipment includes:

determining a first information list of the starting point cell based on the set number of cell information detected in a second preset time period, wherein the second preset time period is a time period from a current date to a later set number of days;

and determining a second information list of the passing point cell and a third information list of the terminal cell based on the cell information detected after the cell information of the starting point cell in a third preset time period, wherein the third preset time period is a time period after the second preset time period.

In some embodiments, the determining the first information list of the starting cell based on the set number of cell information detected in the second preset time period includes:

responding to the fact that the number of days for starting line information acquisition is smaller than or equal to the set number of days, and acquiring cell information of a cell where the terminal equipment currently resides;

responding to the change of the current residence cell of the terminal equipment based on the currently detected cell information, and acquiring the cell information of the changed cell;

and repeating the previous step until the number of the cell information acquired in the current date reaches the set number, and adding the cell information acquired in the current date to the first information list.

In some embodiments, the determining the second information list of the via point cell and the third information list of the end point cell based on the cell information detected after the cell information of the start point cell in the third preset period of time includes:

in response to detecting second cell information in the third preset time period, adding the second cell information to the second information list, and starting a timer with preset duration, wherein the previous cell information of the second cell information belongs to the first information list, and the second cell information does not belong to the first information list;

in response to detecting third cell information if the timer does not timeout, adding the third cell information to the second information list and restarting the timer;

repeating the previous step until the timer is overtime, and detecting the duration of the current time from the start line information acquisition time in the current date;

and in response to the time length being greater than or equal to a set time length threshold, adding currently detected fourth cell information and/or neighbor cell information of the fourth cell information to the third information list.

In some embodiments, the method further comprises:

and responding to the current time belonging to a fourth preset time period, and determining that the terminal equipment meets the second preset condition.

the self-learning of the line information is performed to obtain a cell self-learning result of the target mobile line, including:

detecting fifth cell information of a cell where the terminal equipment currently resides;

in response to determining that the terminal equipment currently resides in the starting point cell based on the fifth cell information, scoring the service quality of the target cell on the target mobile line, and obtaining the service quality score of the target cell;

and updating the line information according to the quality of service score to obtain the cell self-learning result.

In some embodiments, the method further comprises:

sampling a cell on a current mobile line of the terminal equipment to obtain a cell sampling result;

and in response to determining that the target mobile line is unchanged based on the cell sampling result, performing the operation of scoring the service quality of the target cell on the target mobile line.

In some embodiments, the method further comprises:

acquiring the current recorded line information acquisition time, wherein the line information acquisition time is the time for acquiring the line information;

and executing the operation of sampling the cell on the current moving line of the terminal equipment in response to the fact that the time length from the current line information acquisition time meets the preset time length condition.

In some embodiments, the method further comprises:

and re-acquiring the line information of the target mobile line of the terminal equipment in response to the determination that the target mobile line is changed based on the cell sampling result.

In some embodiments, the scoring the quality of service of the target cell on the target mobile line comprises:

acquiring a use experience index value of the target cell;

and determining the quality of service score of the target cell based on the use experience index value.

In some embodiments, the method further comprises:

updating the number of times the terminal device does not camp on the starting cell in response to determining that the terminal device does not currently camp on the starting cell based on the fifth cell information;

And re-acquiring the line information of the target mobile line of the terminal equipment in response to the times reaching a set time threshold.

In some embodiments, the updating the line information according to the quality of service score includes:

in response to the quality of service score of a sixth cell in the target mobile line being greater than or equal to a set score threshold, marking the sixth cell as a target type cell;

and carrying out preset optimizing operation on the target type cell, wherein the preset optimizing operation is used for avoiding the terminal equipment from residing in the target type cell.

According to a second aspect of the embodiments of the present disclosure, there is provided a cell information processing apparatus including:

a line information obtaining module, configured to obtain line information of a target mobile line of a terminal device in response to the terminal device meeting a first preset condition, where the line information includes cell information of a target cell where the terminal device resides in a moving process on the target mobile line, where the cell information includes at least one of a cell identifier and a quality of service index value of the target cell to which the terminal device belongs;

the learning result acquisition module is used for responding to the terminal equipment to meet a second preset condition, carrying out self-learning on the line information to obtain a cell self-learning result of the target mobile line, and the cell self-learning result is used for predicting and/or planning a cell where the terminal equipment resides in future time.

In some embodiments, the apparatus further comprises:

the first time detection module is used for responding to the screen lighting of the terminal equipment and detecting the current time;

the line information acquisition module is further configured to determine that the terminal device meets the first preset condition in response to the current time belongs to a first preset time period.

the circuit information acquisition module comprises:

a first list determining unit, configured to determine a first information list of the starting cell based on a set number of cell information detected in a second preset time period, where the second preset time period is a time period from a current date to a set number of days later;

and a second-third list determining unit configured to determine, based on cell information detected after the cell information of the starting point cell within a third preset time period, a second information list of the passing point cell and a third information list of the end point cell, where the third preset time period is a time period after the second preset time period.

In some embodiments, the first list determination unit is further configured to:

In some embodiments, the second and third list determination unit is further configured to:

In some embodiments, the apparatus further comprises:

the second time detection module is used for responding to the screen lighting of the terminal equipment and detecting the current time;

the learning result obtaining module is further configured to determine that the terminal device meets the second preset condition in response to the current time belongs to a fourth preset time period.

the learning result acquisition module includes:

a fifth information detection unit, configured to detect fifth cell information of a cell where the terminal device currently resides;

a quality score obtaining unit, configured to score a quality of service of the target cell on the target mobile line in response to determining, based on the fifth cell information, that the terminal device currently resides in the starting cell, and obtain a quality of service score of the target cell;

and the learning result acquisition unit is used for updating the line information according to the quality of service score to obtain the self-learning result of the cell.

In some embodiments, the learning result acquisition module further includes:

the cell sampling unit is used for sampling the cell on the current mobile line of the terminal equipment to obtain a cell sampling result;

the quality score obtaining unit is further configured to perform the operation of scoring the quality of service of the target cell on the target mobile line in response to determining that the target mobile line is unchanged based on the cell sampling result.

In some embodiments, the cell sampling unit is further configured to:

In some embodiments, the line information obtaining module is further configured to re-obtain line information of a target mobile line of the terminal device in response to determining that the target mobile line is changed based on the cell sampling result.

In some embodiments, the mass fraction acquisition unit is further configured to:

Acquiring a use experience index value of the target cell;

In some embodiments, the apparatus further comprises:

a number of times update module configured to update a number of times the terminal device does not camp on the starting cell in response to determining that the terminal device does not currently camp on the starting cell based on the fifth cell information;

the line information acquisition module is further used for re-acquiring the line information of the target mobile line of the terminal equipment in response to the times reaching a set time threshold.

In some embodiments, the learning result acquisition unit is further configured to:

According to a third aspect of embodiments of the present disclosure, there is provided a terminal device, the device comprising:

a processor and a memory for storing a computer program;

Wherein the processor is configured to implement, when executing the computer program:

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements:

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:

according to the method and the device, the line information of the target mobile line of the terminal equipment is obtained in response to the terminal equipment meeting the first preset condition, the line information is self-learned in response to the terminal equipment meeting the second preset condition, the cell self-learning result of the target mobile line is obtained, the follow-up prediction and/or planning of the cell where the terminal equipment resides in the future time based on the cell self-learning result can be achieved, the cell with poor service quality can be detected in advance, and timely and accurately optimized to avoid the terminal equipment residing in the cell with poor service quality, so that the use experience of a user on data service can be improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flowchart illustrating a cell information processing method according to an exemplary embodiment of the present disclosure;

fig. 2 is a flowchart showing how to acquire line information of a target mobile line of the terminal device according to an exemplary embodiment of the present disclosure;

fig. 3 is a flowchart showing how to determine a first information list of the starting cell according to an exemplary embodiment of the present disclosure;

fig. 4 is a flowchart showing how to determine a second information list of the route point cell and a third information list of the end point cell according to an exemplary embodiment of the present disclosure;

FIG. 5 is a flow chart illustrating how to self-learn the line information according to an exemplary embodiment of the present disclosure;

fig. 6 is a flow chart illustrating how to score quality of service of the target cell on the target mobile line according to an exemplary embodiment of the present disclosure;

fig. 7 is a flow chart illustrating how the line information is updated according to the quality of service score according to an exemplary embodiment of the present disclosure;

Fig. 8 is a general flowchart illustrating acquiring line information of a target mobile line of the terminal device according to an exemplary embodiment of the present disclosure;

FIG. 9 is a general flow chart illustrating self-learning of the line information according to an exemplary embodiment of the present disclosure;

fig. 10 is a block diagram of a cell information processing apparatus according to an exemplary embodiment of the present disclosure;

fig. 11 is a block diagram of yet another cell information processing apparatus according to an exemplary embodiment of the present disclosure;

fig. 12 is a block diagram of a terminal device according to an exemplary embodiment of the present disclosure.

Detailed Description

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

Fig. 1 is a flowchart illustrating a method of processing cell information according to an exemplary embodiment; the method of the present embodiment may be performed by a cell information processing apparatus, which may be configured in a terminal device, for example, a server, a workstation, a personal computer, a mobile terminal (e.g., a mobile phone, a tablet computer, etc.), a wearable device (e.g., glasses, a wristwatch, etc.), or the like. Specifically, as shown in fig. 1, the method includes the following steps S101 to S102:

In step S101, in response to the terminal device satisfying a first preset condition, line information of a target mobile line of the terminal device is acquired.

In this embodiment, the terminal device may obtain, in response to detecting that the terminal device itself satisfies the first preset condition, line information of a target mobile line of the terminal device.

The line information may include cell information of a target cell in which the terminal device resides in a process of moving on the target moving line. The target mobile line may be a line on which the user frequently travels or walks in daily life, such as a "shift line from home to work site" or a "school line from home to school site", or the like.

In some embodiments, the terminal device may detect the current time in response to the screen of the terminal device being turned on, and further may determine that the terminal device meets the first preset condition when it is detected that the current time belongs to the first preset period.

It should be noted that, the first preset time period may be set based on the requirement of the actual application scenario, for example, the first preset time period is set to 7:00 to 10:00 am on a workday, which is not limited in this embodiment.

For example, the Cell information may include at least one of a Cell identifier (e.g., cell ID, etc.) of the target Cell to which the Cell belongs and a quality of service indicator value. Illustratively, the quality of service indicator value may include at least one of a signal-to-interference-plus-noise ratio SINR or a signal-to-noise ratio SNR of the reference signal received power RSRP, a radio link failure RLF, an uplink scheduling grant ULGrant, a downlink TPUT, a block error rate BLER of uplink and downlink, and a connection anomaly number of the radio resource control RRC.

In some embodiments, the validity period of the line information may be set based on actual needs, such as 15 days. And under the condition that the validity period is exceeded, the line information of the target mobile line of the terminal equipment can be acquired again, so that the validity of the line information is ensured, and the condition that the line information is invalid due to the reasons of moving a user or long-term shutdown of a mobile phone is prevented. Therefore, the accuracy of the cell self-learning result obtained later can be improved, and the later better prediction and/or planning of the cell where the terminal equipment resides at the future time can be realized.

In other embodiments, the above manner of acquiring the line information of the target mobile line of the terminal device may be referred to the embodiment shown in fig. 2 below, which is not described in detail herein.

In step S102, in response to the terminal device meeting a second preset condition, self-learning is performed on the line information, so as to obtain a cell self-learning result of the target mobile line.

In this embodiment, the terminal device may perform self-learning on the line information in response to the terminal device satisfying a second preset condition, so as to obtain a cell self-learning result of the target mobile line.

The self-learning result of the cell can be used for predicting and/or planning a cell where the terminal equipment resides in future time.

In some embodiments, the terminal device may detect the current time in response to the screen of the terminal device being turned on, and further may determine that the terminal device meets the second preset condition when it is detected that the current time belongs to the fourth preset time period.

It should be noted that, the fourth preset time period may be set based on the needs of the actual application scenario, for example, the fourth preset time period is set to 7:00 to 10:00 am on a workday, which is not limited in this embodiment. It is to be understood that the first preset time period and the fourth preset time period may be the same or different, and the specific time period is only used for illustration, and may be set based on scene requirements in practical applications.

In other embodiments, the above-mentioned manner of self-learning the line information may be referred to the embodiment shown in fig. 5 described below, which will not be described in detail herein.

As can be seen from the foregoing description, in the method of this embodiment, by responding to the terminal device meeting the first preset condition, obtaining the line information of the target mobile line of the terminal device, and responding to the terminal device meeting the second preset condition, performing self-learning on the line information to obtain the cell self-learning result of the target mobile line, it is possible to implement the following prediction and/or planning of the cell where the terminal device resides in future time based on the cell self-learning result, and it is possible to implement the early detection of the cell where the service quality is poor, and timely and accurately optimize the cell where the service quality is poor, so as to avoid the terminal device residing in the cell where the service quality is poor, and thus it is possible to improve the use experience of the user on the data service.

Fig. 2 is a flowchart showing how to acquire line information of a target mobile line of the terminal device according to an exemplary embodiment of the present disclosure; the present embodiment will be exemplarily described on the basis of the above embodiments by taking, as an example, how to acquire the line information of the target mobile line of the terminal device.

In this embodiment, the target cell includes at least a start cell, a route point cell, and an end cell.

Taking the target line as an example of a working line, the starting point cell may be a cell of a place where the user's home is located, the passing point cell may be a cell where the user passes after leaving the home, and the end point cell may be a cell of a work place of the user.

As shown in fig. 2, the acquiring the line information of the target mobile line of the terminal device in the step S101 may include the following steps S201 to S202:

in step S201, a first information list of the starting cell is determined based on a set number of cell information detected in a second preset time period.

In this embodiment, when it is detected that the terminal device meets a first preset condition, and line information of a target mobile line of the terminal device is obtained, the first information list of the starting cell may be determined based on the set number of cell information detected in the second preset time period.

The second preset time period may be a time period from a current date to a set number of days later.

It should be noted that the number of days set above may be set based on the needs of the actual application scenario, for example, 3 days, which is not limited in this embodiment.

For example, the cell information of the cell where the terminal device resides during the moving process may be detected every day in the set days, and the first information list of the starting cell may be determined based on the cell information of several cells acquired first every day.

In other embodiments, the above manner of determining the first information list of the starting cell may also refer to the embodiment shown in fig. 3 described below, which is not described in detail herein.

In step S202, the second information list of the route point cell and the third information list of the end point cell are determined based on the cell information detected after the cell information of the start point cell in the third preset period.

In this embodiment, after the first information list of the starting point cell is determined based on the set number of cell information detected in the second preset time period, the second information list of the passing point cell and the third information list of the end point cell may be determined based on the cell information detected after the cell information of the starting point cell in the third preset time period.

The third preset time period may be a time period after the second preset time period. For example, the second preset period is the first to third days for starting to acquire the line information, and the third preset period may be the fourth day for starting to acquire the line information, which is not limited in this embodiment.

For example, after the first information list of the starting point cell is determined, a cell detected after the starting point cell may be determined as a route point cell, and further, a last detected route point cell may be determined as an end point cell.

In other embodiments, the above manner of determining the second information list of the passing point cell and the third information list of the destination cell may also refer to the embodiment shown in fig. 4 described below, which will not be described in detail herein.

As can be seen from the foregoing description, in this embodiment, the first information list of the starting point cell is determined based on the set number of cell information detected in the second preset time period, and the second information list of the passing point cell and the third information list of the destination cell are determined based on the cell information detected after the cell information of the starting point cell in the third preset time period, so that accurate acquisition of the line information of the target mobile line of the terminal device can be achieved, further, subsequent self-learning of the line information can be achieved, and a cell self-learning result of the target mobile line can be obtained, so that a cell with poor service quality can be detected in advance and accurately optimized in time, so that the terminal device is prevented from residing in the cell with poor service quality, and further, the use experience of the data service by the user can be improved.

Fig. 3 is a flowchart showing how to determine a first information list of the starting cell according to an exemplary embodiment of the present disclosure; the present embodiment is exemplified on the basis of the above-described embodiments by taking as an example how to determine the first information list of the starting cell.

As shown in fig. 3, the determining the first information list of the starting cell in the step S201 may include the following steps S301 to S304:

in step S301, in response to the number of days for starting line information acquisition being less than or equal to the set number of days, obtaining cell information of a cell where the terminal device currently resides.

In this embodiment, when determining the first information list of the starting cell based on the set number of cell information detected in the second preset time period, it may be determined whether the number of days for starting line information acquisition from the current date is less than or equal to the set number of days: if the number of the days is smaller than or equal to the set number of days, the cell information of the cell where the terminal equipment currently resides can be obtained; if the number of the cell information is larger than the set number of days, the cell information of the cell where the terminal equipment currently resides may not be acquired.

For example, assuming that the set number of days is 3 days, on the 1 st to 3 rd days when the line information acquisition is started, it may be determined that the number of days when the line information acquisition is started is less than or equal to the set number of days, and then the cell information of the cell where the terminal device currently resides may be obtained. And on the 4 th day of starting line information acquisition, no cell information of the cell where the terminal equipment currently resides is acquired.

In step S302, in response to determining that the current residence cell of the terminal device changes based on the currently detected cell information, cell information of the changed cell is acquired.

In this embodiment, after the cell information of the cell where the terminal device currently resides is obtained, whether the cell where the terminal device currently resides changes may be determined based on the cell information obtained currently, and further, the cell information of the cell after the change may be obtained in response to the change of the cell where the terminal device currently resides.

For example, if the Cell identifier (Cell ID) of the current residence Cell of the terminal device acquired at the previous time is a, and then it is detected that the Cell identifier (Cell ID) of the current residence Cell of the terminal device is B, it may be determined that the current residence Cell of the terminal device is changed, and then the changed Cell information (i.e. the information "B") may be acquired.

In step S303, whether the number of cell information acquired on the current date reaches a set number: if not, step S302 is executed again, namely, the cell information of the cell where the terminal equipment currently resides is continuously detected and acquired until the number of the cell information acquired in the current date reaches the set number, and the cell information acquired in the current date is added to the first information list; if yes, step S304 is executed, and the current detection flow is ended.

It should be noted that the above-mentioned preset number may be set based on the needs of the actual application scenario, for example, set to 3, which is not limited in this embodiment.

For example, assuming that the number of days is set to 3 days and the number is set to 3, the cell information of 3 cells is acquired every day, and the cell information of 9 cells is acquired in total.

As can be seen from the foregoing description, in this embodiment, by acquiring, in response to the number of days for starting line information acquisition being less than or equal to the set number of days, cell information of a cell where the terminal device currently resides, and determining, based on the currently detected cell information, that the cell where the terminal device currently resides changes, acquiring cell information of a cell after the change, and repeating the previous step until the number of cell information acquired in the current date reaches the set number, and adding the cell information acquired in the current date to the first information list, it is possible to accurately determine the first information list of the starting point cell, thereby laying a basis for self-learning of a subsequent cell, and it is possible to implement prediction and/or planning of a cell where the terminal device resides in a future time based on a self-learning result of the cell, thereby avoiding the terminal device residing in a cell with poor service quality.

Fig. 4 is a flowchart showing how to determine a second information list of the route point cell and a third information list of the end point cell according to an exemplary embodiment of the present disclosure; the present embodiment will be exemplarily described on the basis of the above embodiments taking as an example how to determine the second information list of the route point cell and the third information list of the end point cell.

As shown in fig. 4, the determining the second information list of the route point cell and the third information list of the end point cell described in the above step S202 may include the following steps S401 to S406:

in step S401, in response to detecting second cell information in the third preset time period, the second cell information is added to the second information list, and a timer of a preset duration is started.

In this embodiment, when determining the second information list of the via point cell and the third information list of the end point cell, the second cell information of the terminal device currently residing in the third preset time period may be detected, and when detecting the second cell information, the second cell information may be added to the second information list, and a timer with a preset duration may be started.

Wherein the cell information preceding the second cell information belongs to the first information list, and the second cell information does not belong to the first information list. That is, assuming that the second cell information belongs to cell a and the previous cell information of the second cell information (i.e., the cell information detected before the second cell information) belongs to cell B, cell B is a start point cell and cell a is a via point cell.

It should be noted that, in this embodiment, the preset duration of the timer may be set based on the needs of the actual application scenario, for example, set to 10min, which is not limited in this embodiment.

In step S402, it is determined whether the currently started timer has timed out: if not, executing step S403; if yes, go to step 408;

in step S403, in response to detecting second cell information in the third preset time period, the second cell information is added to the second information list, and a timer of a preset duration is started.

In this embodiment, the third cell information of the terminal device that is currently resident may be detected when the timer is not overtime, and then the third cell information may be added to the second information list, and the timer of the preset duration may be started again.

It can be appreciated that the third cell information and the cell information preceding the third cell information belong to the second information list. That is, assuming that the third cell information belongs to the cell L and the previous cell information of the third cell information (i.e., the cell information detected before the third cell information) belongs to the cell M, both the cell L and the cell M are the via point cells.

In step S404, it is determined whether the currently started timer has timed out: if not, executing step S403 again; if yes, go to step 405;

in step S405, the length of time from the current time to the start line information collection time within the current date is detected.

For example, assuming that the time to start line information collection on the current date is 7:00, when the timer expires, the duration of the current time (e.g., 9:30) from the time to start line information collection on the current date, i.e., 2 hours and 30 minutes, may be detected.

In step S406, it is determined whether the above-described time period is greater than or equal to a set time period threshold: if yes, go to step S407; if not, go to step S408;

In step S407; and adding the fourth cell information and/or the adjacent cell information of the fourth cell information which are currently detected to the third information list.

In this embodiment, the above-mentioned threshold value of the set duration may be set based on the needs of the actual application scenario, for example, set to 30min, which is not limited in this embodiment. It is worth to say that, the set time length threshold can be used for judging the effectiveness of the line information, namely if the time length of the current time from the time of starting line information acquisition in the current date is too short, the acquired line information can be considered to be invalid; in contrast, if the duration of the current time from the start line information acquisition time in the current date is greater than or equal to the set duration threshold, the line information acquired this time may be considered valid, and the fourth cell information and/or the adjacent cell information of the fourth cell information detected currently may be added to the third information list, that is, the cell to which the fourth cell information and/or the adjacent cell information of the fourth cell information belongs is determined as the terminal cell.

As can be seen from the foregoing description, in this embodiment, in response to detecting the third cell information when the timer is not overtime, the third cell information is added to the second information list, the timer is restarted, then the previous step is repeated until the timer is overtime, the duration of the line information collection time from the current time to the current date is detected, and in response to the duration being greater than or equal to the set duration threshold, the fourth cell information and/or the adjacent cell information of the fourth cell information which is currently detected is added to the third information list, so that the second information list of the route point cell and the third information list of the destination cell can be accurately determined, thereby laying a foundation for the self-learning of the subsequent cell, and further, predicting and/or planning the future time residence time of the terminal device based on the self-learning result of the cell can be realized, thereby avoiding the terminal device from residing in the cell with poor service quality.

FIG. 5 is a flow chart illustrating how to self-learn the line information according to an exemplary embodiment of the present disclosure; the present embodiment exemplifies how the line information is self-learned on the basis of the above-described embodiments.

Further, as shown in fig. 5, the self-learning of the line information in the step S102 to obtain a cell self-learning result of the target mobile line may include the following steps S501 to S503:

in step S501, fifth cell information of a cell in which the terminal device currently resides is detected.

In this embodiment, when the line information is self-learned in response to the terminal device satisfying the second preset condition, the cell information (named as fifth cell information for convenience of distinction) of the cell in which the terminal device currently resides may be detected.

In step S502, in response to determining, based on the fifth cell information, that the terminal device currently resides in the starting cell, the quality of service of the target cell on the target mobile line is scored, and a quality of service score of the target cell is obtained.

In this embodiment, after detecting the fifth cell information of the cell where the terminal device currently resides, it may be determined whether the terminal device currently resides in the starting cell based on the fifth cell information, and further, the service quality of the target cell on the target mobile line may be scored in response to the terminal device currently residing in the starting cell, so as to obtain the service quality score of the target cell.

The above-mentioned manner of scoring the quality of service of the target cell on the target mobile line may refer to a scheme of scoring the quality of service of a cell in the related art, which is not limited in this embodiment. Alternatively, the above-mentioned manner of scoring the quality of service of the target cell on the target mobile line may also refer to the embodiment shown in fig. 6 described below, which is not described in detail herein.

In other embodiments, if it is determined that the terminal device does not currently reside in the starting cell based on the fifth cell information, the number of times the terminal device does not reside in the starting cell may be updated, for example "+1" based on the current value, and whether the terminal device resides in the starting cell is detected again on the second day, and the above "number of times" is updated based on the corresponding detection result; on this basis, the line information of the target mobile line of the terminal device may be reacquired in response to the number reaching a set number threshold (e.g., 3 times, etc.).

That is, if it is detected whether the cell information of the cell where the terminal device currently resides is in the starting point information list (i.e., the first information list) every day when the terminal device meets the second preset condition, if it is detected that the terminal device does not reside in the starting point cell multiple times continuously, it may be considered that the line information of the currently acquired target mobile line is invalid, and the line information of the target mobile line of the terminal device needs to be acquired again, which may refer to the embodiment shown in fig. 2, and details thereof will not be described herein.

In other embodiments, before scoring the quality of service of the target cell on the target mobile line, the cell on the current mobile line of the terminal device may be sampled first to obtain a cell sampling result, and then when it is determined that the target mobile line is not changed based on the cell sampling result, the operation of scoring the quality of service of the target cell on the target mobile line is performed. In contrast, if it is determined that the target mobile line is changed based on the cell sampling result, the line information of the target mobile line of the terminal device may be reacquired.

For example, the cell where the terminal device resides on the current mobile route may be sampled 3 consecutive days after detecting that the terminal device leaves the starting cell. Illustratively, samples may be taken every 3 minutes for a total of 3 times on the first day; sampling every 5 minutes for 3 times in the next day; samples were taken every 7 minutes on the third day for a total of 3 samples. On this basis, the cell identities of the 9 sampled cells are matched with the cell identities in the route point cell list (i.e., the second information list), and if the cell identities can be matched to a set ratio (e.g., 80% or more), the target mobile line is considered unchanged.

In other embodiments, in order to reasonably plan the time for sampling the cell and further ensure the validity of the line data, the currently recorded line information acquisition time, that is, the time for acquiring the line information, may be acquired before the cell sampling is performed. That is, after each acquisition of the line information of the target mobile line of the terminal device, the acquisition time of the line information may be recorded. On the basis, whether the time length from the current line information acquisition time meets the preset time length condition can be detected, and if so, the operation of sampling the cell on the current mobile line of the terminal equipment can be executed. Illustratively, the current time length from the line information obtaining time satisfies a preset time length condition, which may be: the current length of time from the line information acquisition time is less than or equal to a set length of time threshold (e.g., 7 days, etc.). In other words, if the time length of the current distance line information acquisition time does not exceed 7 days, it may be determined whether the target mobile line is changed through cell sampling; if the current time length from the line information obtaining time exceeds 7 days, the line information of the target mobile line of the terminal device can be obtained again, so as to ensure the validity of the line data.

In step S503, the line information is updated according to the quality of service score, so as to obtain the self-learning result of the cell.

In this embodiment, after the quality of service of the target cell on the target mobile line is scored to obtain the quality of service score of the target cell, the line information may be updated according to the quality of service score to obtain the cell self-learning result.

In other embodiments, the above manner of updating the line information according to the qos score may also refer to the embodiment shown in fig. 7, which is not described in detail herein.

As can be seen from the foregoing description, in this embodiment, by detecting the fifth cell information of the cell where the terminal device currently resides, and in response to determining that the terminal device currently resides in the starting cell based on the fifth cell information, scoring the quality of service of the target cell on the target mobile line to obtain the quality of service score of the target cell, and further updating the line information according to the quality of service score to obtain the cell self-learning result, it is possible to implement prediction and/or planning of a cell where the terminal device resides in future time based on the cell self-learning result, thereby avoiding the terminal device from residing in a cell with poor quality of service.

Fig. 6 is a flow chart illustrating how to score quality of service of the target cell on the target mobile line according to an exemplary embodiment of the present disclosure; the present embodiment is exemplified on the basis of the above-described embodiments by taking as an example how to score the quality of service of the target cell on the target mobile line.

As shown in fig. 6, scoring the quality of service of the target cell on the target mobile line as described in the above step S502 may include the following steps S601-S602:

in step S601, a usage experience index value of the target cell is acquired.

In this embodiment, when the quality of service of the target cell on the target mobile line is scored, the use experience index value of the target cell may be acquired.

It should be noted that, the above-mentioned use experience index value may be set based on the needs of the actual application scenario, which is not limited in this embodiment.

In other embodiments, at least one of the usage experience index values may be provided for an application layer of the terminal device, and may be used to reflect an index value of a usage experience of a cell, for example, at least one of TCPACK Delay (Delay ACK), PING gateway Delay, and packet loss rate.

In step S602, a quality of service score of the target cell is determined based on the usage experience index value.

In this embodiment, after the experience index value of the target cell is obtained, the quality of service score of the target cell may be determined based on the experience index value.

For example, a weighted sum operation may be performed based on the currently acquired at least one experience index value, and the quality of service score of the target cell may be determined based on the operation result.

In some embodiments, the quality of service score of the target cell may be inversely related to the quality of service of the target cell, i.e., the higher the score, the worse the quality of service of the target cell.

As can be seen from the foregoing description, in this embodiment, by obtaining the experience index value of the target cell and determining the quality of service score of the target cell based on the experience index value of the target cell, it is possible to accurately score the quality of service of the target cell on the target mobile line, and further, it is possible to implement updating the line information based on the quality of service score, obtain the self-learning result of the cell, and how to implement predicting and/or planning the cell where the terminal device resides in future time according to the self-learning result of the cell, thereby avoiding the terminal device from residing in the cell where the quality of service is poor, and improving the data service usage experience of the user.

Fig. 7 is a flow chart illustrating how the line information is updated according to the quality of service score according to an exemplary embodiment of the present disclosure; the present embodiment is exemplified on the basis of the above embodiment by taking as an example how the line information is updated according to the quality of service score.

As shown in fig. 7, the updating of the line information according to the qos score in the above step S503 may include the following steps S701 to S702:

in step S701, in response to the quality of service score of a sixth cell in the target mobile line being higher than or equal to a set score threshold, the sixth cell is marked as a target type cell.

In this embodiment, after the quality of service of the target cell on the target mobile line is scored to obtain the quality of service score of the target cell, the quality of service score of the target cell may be compared with a set score threshold, and when it is detected that the quality of service score of a certain cell (for convenience of distinction, named as a sixth cell) is higher than or equal to the set score threshold, the cell is marked as a target type cell, that is, a cell with poor quality of service. Conversely, if the quality of service score is below the set score threshold, the cell may be marked as another type of cell or not marked. It will be appreciated that in this embodiment, the quality of service score of the target cell is inversely related to the quality of service of the target cell, i.e. the higher the score, the worse the quality of service of the target cell. If the determined qos score is positively correlated with the qos of the target cell, then a cell with a qos score below the set score threshold may be determined as the target type cell, and the result is equally applicable to the subsequent steps of the disclosure.

In step S702, a preset optimizing operation is performed for the target type cell.

In this embodiment, when the quality of service score of the sixth cell in the target mobile line is higher than or equal to a set score threshold, the sixth cell is marked as a target type cell, and then a preset optimization operation may be performed for the target type cell.

The preset optimizing operation may be used to avoid the terminal device from camping on the target type cell.

It should be noted that, the specific type of the above-mentioned preset optimizing operation may be selected from related technologies according to actual scene needs, which is not limited in this embodiment.

For example, the preset optimizing operation may include disabling a cell and/or modifying a service parameter of a cell, so that the terminal device may be prevented from camping on the cell, or the terminal device may be caused to leave the cell as soon as possible.

As can be seen from the foregoing description, in this embodiment, in response to the quality of service score of the sixth cell in the target mobile line being higher than or equal to the set score threshold, the sixth cell is marked as a target type cell, and a preset optimization operation is performed for the target type cell, so as to avoid the terminal device from camping on the target type cell, so that predicting and/or planning a cell where the terminal device resides in future time according to a cell self-learning result can be implemented, thereby avoiding the terminal device from camping on a cell with poor quality of service, and improving data service usage experience of a user.

The present disclosure is illustrated below with some specific examples, but is not intended to limit the scope of the present disclosure.

as shown in fig. 8, the scheme for acquiring the line information of the target mobile line of the terminal device in this embodiment includes the following steps 801-825:

801: the application processor AP recognizes that the terminal equipment UE is in a bright screen state and is 7:00-10:00 on the early working day;

in this step, the AP notifies the modem of the bright screen message, instructing the modem to start entering the line information acquisition procedure.

802: the modem starts starting point cell identification, collects cell information and stores the cell information on the UE;

in this step, 3 days can be continuously recorded, once a day, 3 cells each time, to form a data set, that is, 9 cells information can be recorded in total, and a cell record XML file can be generated, which is not eliminated after the UE is restarted.

803: judging whether the current continuous recording days are more than or equal to 3: if yes, go to step 808; if not, go to step 804;

804: judging whether the number of days of last recording of the current distance is more than 5; if yes, go to step 805; if not, go to step 806;

This step is mainly for judging whether the UE is powered off for a long time after the last recording or not moved for a long time in one place.

805: resetting the recorded starting point cell data and restarting, namely turning to step 801;

806: continuously monitoring whether the UE is in 7:00-10:00 am on the working day;

807: recording the current resident cell ID, monitoring the cell change, and recording the other two cells until the recording of the 3 cells is completed;

808: and finishing the identification of the starting point.

In this step, when the starting point identifies and records 3 groups of starting point data, and after each group of 3 cells, a specific line collection flow is started from the day after the starting point is recorded, and when a screen-on event is received, the specific steps are as follows:

809: the AP receives the bright Screen broadcast action_Screen_ON, namely, monitors that the UE is in a bright Screen state;

810: reading 3 groups of data recorded by the current XML file (namely, the information of 9 starting cells recorded in the previous step);

811: monitoring whether the cell ID where the UE resides changes or not;

812: judging whether the requirement of ' whether the last cell is a starting point cell or not ' is met, wherein the current cell is not the starting point cell ': if yes, go to step 813; if not, go to step 820;

813: indicating that the UE has left the starting point cell, the AP sends a command to the modem to start sampling the cell, namely obtaining cell information;

814: starting a timer of 10 minutes every time a new cell is entered;

it should be noted that, if the timer does not timeout, if the UE is handed over from the current cell to another cell, the timer is restarted.

815: monitoring whether the timer has timed out: if yes, go to step 816; if not, go to step 823;

816: the timer is overtime, which indicates that the line end point is possibly reached, and whether the time length from the beginning of line collection exceeds 30 minutes is continuously judged;

817: over 30 minutes: if yes, go to step 818; if not, go to step 824;

818: identifying the current cell as a line end point for more than 30 minutes, and moving to step 819;

819: the AP sends a command to the modem, considers that the line acquisition is finished, and stores line data;

820: indicating that the UE is near the starting cell, i.e. considered not to leave the starting cell;

821: judging whether the time from the last recording of 3 groups of cells exceeds 15 days: no, go to step 811; if yes, go to step 822;

822: indicating that the set period is exceeded, emptying the XML file, and restarting the starting point identification flow;

823: if the timer is not overtime, continuing to collect the cell data;

824: if the time exceeds 30 minutes, the current line acquisition is considered to be invalid, and the step 825 is shifted;

825: after considering that the current line collection fails, the line data may be reset, and another timer may be started, such as a six-point on the morning next day, and line collection restarted, i.e., step 801 is performed.

As can be seen from the above description, the present embodiment can lay a foundation for the subsequent self-learning of the cell by performing line acquisition before self-learning of the cell and collecting information of the cell (the starting point cell, the passing point cell, and the end point cell).

as shown in fig. 9, the scheme for self-learning the line information in this embodiment includes the following steps 901-924:

901: the application processor AP receives the bright Screen broadcast action_Screen_ON, namely, monitors that the UE is in a bright Screen state;

902: judging whether the self-learning of the cell is finished or not, and judging that the current date is after the learning date; if yes, go to step 903; if not, go to step 901;

in this step, whether the self-learning of the cell is completed may be determined based on a preset learning status identifier, for example, the status identifier may be set to "yes" after each learning, and then the self-learning of the cell may be determined to be completed based on the status identifier.

The above-mentioned judgment that the current date is after the learning date aims to identify whether the UE has a case of manually modifying the system date.

903: continuing to determine if the current time is in the morning of the workday (e.g., AM7:00-AM10: 00), and the ID of the current cell (i.e., the currently camping cell, the same below) is not null: if yes, go to step 904; if not, go to step 912;

it can be appreciated that in the UE out-of-service state, a situation may occur in which the current camping cell is empty.

904: judging whether the current cell ID is in a starting point cell list or not: if yes, go to step 905; if not, go to step 912;

905: starting to use the self-learning of the cell, synchronously scoring the cell, and automatically increasing 1 in the number of the currently recorded self-learning days (hereinafter referred to as the number of the use days) of the cell;

906: the AP sends a command notification modem;

907: the AP queries a line information table stored in a database;

in this step, the line information table is the information table generated after the collection in the embodiment shown in fig. 8.

908: judging whether the current cell is in a line or not, and marking the cell as a bad cell (or called bad cell, cell with poor service quality); if yes, go to step 909; if not, it indicates that the current cell is normal, step 908 is executed again (the current cell changes along with the UE moving process);

909: and judging whether the information of the current cell as a bad cell is sent to the modem through the AP. If not, go to 910; if yes, go to 908;

910: the AP informs the modem of the information that the current cell is a bad cell;

911: the modem receives the information, stores bad cell information, and performs action optimization (e.g., disable the cell or modify service parameters of the cell, etc.), so that the UE avoids the bad cell;

912: step 913 is performed when none of the current cells is in the starting point list three times in succession;

in the step, when detecting that the current cell ID is not in the starting cell list, the detection of the current date can be ended, and the detection is carried out again after the next day; if it is detected that none of the current cells is in the starting point list for three consecutive days, step 913 is continued.

913: resetting the currently acquired line data and restarting the start point identification (i.e., restarting the embodiment shown in fig. 8);

914: it is determined whether or not the last learning (i.e., the time at which the line information acquisition was last completed) has exceeded 7 days: if yes, go to step 920; if not, go to step 915;

in this step, it is determined whether the distance from the last learning has exceeded 7 days, in order to confirm whether the UE has left the self-learning location for a long time after the last learning is completed, i.e., whether the line data has failed.

915: judging whether sampling is needed or not: if yes, go to step 916; if not, go to step 921;

916: sampling is carried out after leaving the starting point cell;

917: whether the current days of use are the first day; if yes, go to 918;

918: sampling is performed, for example, the first day is set to be sampling once every 3 minutes, sampling three times; sampling every 5 minutes for the next day, and sampling three times; sampling once every seven minutes in the third day, and sampling three times;

919: the sampled 9 cells are matched with the cells in the line, and whether 7 or more successfully matched cells (namely, the matching success rate is about 80%) can be judged: if not, go to step 920; if yes, go to step 921;

the purpose of this step is to use the three-day sampled cell data to compare with the previously stored on-line cell information in the database to confirm whether the UE's mobile line has changed.

920: resetting line data and self-learning results;

921: reset the learning results on and after the fourth day and exit the current flow, return to the original learning flow to restart the cell self-learning, i.e., return to step 901.

922: judging whether the data of the fourth day is currently used or not;

in this step, if the data of the fourth day is currently used, it means that the cell self-learning has been used for 3 days, and thus it can be considered that the scoring of the individual cell has ended.

923: reset the number of days of use to 0 and then let the modem start updating these cells with high anomaly scores.

924: ending the current flow.

As can be seen from the above description, in this embodiment, by using the line data collected in advance and according to the state of the mobile phone and the information reported by the modem, the modem is instructed to perform self-learning and inform the modem of a specific learning strategy, so that a cell self-learning result can be obtained, and therefore, a cell with poor service quality can be detected in advance based on the cell self-learning result, and timely and accurately optimized, so that the terminal equipment UE is prevented from residing in a cell with poor service quality, and thus, the use experience of a user on data service can be improved.

Fig. 10 is a block diagram of a cell information processing apparatus according to an exemplary embodiment of the present disclosure; the apparatus of the present embodiment may be configured in a terminal device, for example, a server, a workstation, a personal computer, a mobile terminal (such as a mobile phone, a tablet computer, etc.), a wearable device (such as glasses, a watch, etc.), and so on. Specifically, as shown in fig. 10, the apparatus may include: a line information acquisition module 110 and a learning result acquisition module 120, wherein:

a line information obtaining module 110, configured to obtain, in response to a terminal device meeting a first preset condition, line information of a target mobile line of the terminal device, where the line information includes cell information of a target cell in which the terminal device resides in a moving process on the target mobile line, where the cell information includes at least one of a cell identifier and a quality of service index value of the target cell to which the terminal device belongs;

And the learning result obtaining module 120 is configured to perform self-learning on the line information in response to the terminal device meeting a second preset condition, to obtain a cell self-learning result of the target mobile line, where the cell self-learning result is used for predicting and/or planning a cell where the terminal device resides in a future time.

As can be seen from the foregoing description, the apparatus in this embodiment obtains, by responding to the terminal device meeting a first preset condition, line information of a target mobile line of the terminal device, and responds to the terminal device meeting a second preset condition, self-learns the line information to obtain a cell self-learning result of the target mobile line, so as to predict and/or plan a cell where the terminal device resides in future time based on the cell self-learning result, and detect a cell with poor service quality in advance, and timely and accurately optimize the cell, so as to avoid the terminal device residing in the cell with poor service quality, thereby improving user experience of a user on a data service.

Fig. 11 is a block diagram of a cell information processing apparatus according to an exemplary embodiment of the present disclosure; the apparatus of the present embodiment may be configured in a terminal device, for example, a server, a workstation, a personal computer, a mobile terminal (such as a mobile phone, a tablet computer, etc.), a wearable device (such as glasses, a watch, etc.), and so on.

The circuit information acquiring module 210 and the learning result acquiring module 220 have the same functions as the circuit information acquiring module 110 and the learning result acquiring module 120 in the embodiment shown in fig. 10, and are not described herein. Specifically, as shown in fig. 11, the apparatus may include:

a first time detection module 230, configured to detect a current time in response to a screen of the terminal device being turned on;

further, the line information obtaining module 210 is further configured to determine that the terminal device meets the first preset condition in response to the current time belongs to a first preset time period.

In some embodiments, the target cell includes at least a start cell, a route point cell, and an end cell;

further, the line information obtaining module 210 may include:

a first list determining unit 211, configured to determine a first information list of the starting cell based on a set number of cell information detected in a second preset time period, where the second preset time period is a time period from a current date to a set number of days later;

a second-third list determining unit 212, configured to determine, based on the cell information detected after the cell information of the starting point cell in a third preset time period, the second information list of the route point cell and the third information list of the destination cell, where the third preset time period is a time period after the second preset time period.

In some embodiments, the first list determining unit 211 may be further configured to:

In some embodiments, the above-described two-three list determination unit 212 may also be used to:

In some embodiments, the apparatus may further include:

a second time detecting module 240, configured to detect a current time in response to a screen of the terminal device being turned on;

furthermore, the learning result obtaining module 220 may be further configured to determine that the terminal device meets the second preset condition in response to the current time belongs to a fourth preset time period.

further, the learning result obtaining module 220 may include:

a fifth information detecting unit 221, configured to detect fifth cell information of a cell where the terminal device currently resides;

a quality score obtaining unit 222, configured to score a quality of service of the target cell on the target mobile line, to obtain a quality of service score of the target cell, in response to determining, based on the fifth cell information, that the terminal device currently resides in the starting cell;

And a learning result obtaining unit 223, configured to update the line information according to the quality of service score, so as to obtain the self-learning result of the cell.

In some embodiments, the learning result acquisition module 220 may further include:

a cell sampling unit 224, configured to sample a cell on a current mobile line of the terminal device, to obtain a cell sampling result;

the quality score obtaining unit 222 may be further configured to perform the operation of scoring the quality of service of the target cell on the target mobile line in response to determining that the target mobile line is unchanged based on the cell sampling result.

In some embodiments, the cell sampling unit 224 may also be configured to:

In some embodiments, the line information obtaining module 210 may be further configured to re-obtain line information of the target mobile line of the terminal device in response to determining that the target mobile line is changed based on the cell sampling result.

In some embodiments, the quality score acquisition unit 222 may also be configured to:

acquiring a use experience index value of the target cell;

In some embodiments, the apparatus may further include:

a number updating module 250, configured to update the number of times that the terminal device does not reside in the starting cell in response to determining that the terminal device does not currently reside in the starting cell based on the fifth cell information;

further, the line information obtaining module 210 is further configured to re-obtain the line information of the target mobile line of the terminal device in response to the number of times reaching the set number of times threshold.

In some embodiments, the learning result acquisition unit 220 may also be configured to:

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Fig. 12 is a block diagram of a terminal device according to an exemplary embodiment. For example, device 900 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, and the like.

Referring to fig. 12, device 900 may include one or more of the following components: a processing component 902, a memory 904, a power component 906, a multimedia component 908, an audio component 910, an input/output (I/O) interface 912, a sensor component 914, and a communication component 916.

The processing component 902 generally controls overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 902 may include one or more processors 920 to execute instructions to perform all or part of the steps of the cell information processing methods described above. Further, the processing component 902 can include one or more modules that facilitate interaction between the processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support operations at the device 900. Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and the like. The memory 904 may be implemented by any type of volatile or nonvolatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 906 provides power to the various components of the device 900. Power supply components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 900.

The multimedia component 908 comprises a screen between the device 900 and the user that provides an output interface. In some embodiments, the screen may include a liquid crystal display panel and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 900 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a Microphone (MIC) configured to receive external audio signals when the device 900 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.

The I/O interface 912 provides an interface between the processing component 902 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 914 includes one or more sensors for providing status assessment of various aspects of the device 900. For example, the sensor assembly 914 may detect the on/off state of the device 900, the relative positioning of the components, such as the display panel and keypad of the device 900, the sensor assembly 914 may also detect the change in position of the device 900 or one component of the device 900, the presence or absence of user contact with the device 900, the orientation or acceleration/deceleration of the device 900, and the change in temperature of the device 900. The sensor assembly 914 may also include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate communication between the device 900 and other devices, either wired or wireless. The device 900 may access a wireless network based on a communication standard, such as WiFi,2G or 3G,4G or 5G, or a combination thereof. In one exemplary embodiment, the communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 916 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 900 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the cell information processing methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as a memory 904 including instructions executable by the processor 920 of the device 900 to perform the cell information processing method described above. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A cell information processing method, the method comprising:

2. The method according to claim 1, wherein the method further comprises:

3. The method of claim 1, wherein the target cell comprises at least a start cell, a via point cell, and an end cell;

4. A method according to claim 3, wherein said determining the first list of information for the starting cell based on the set number of cell information detected during the second preset time period comprises:

5. The method of claim 3, wherein the determining the second information list of the via point cell and the third information list of the end point cell based on the cell information detected after the cell information of the start point cell within the third preset time period includes:

6. The method according to claim 1, wherein the method further comprises:

7. The method of claim 1, wherein the target cell comprises at least a start cell, a via point cell, and an end cell;

8. The method of claim 7, wherein the method further comprises:

9. The method of claim 8, wherein the method further comprises:

10. The method of claim 7, wherein the method further comprises:

11. The method of claim 7, wherein scoring the quality of service of the target cell on the target mobile line comprises:

acquiring a use experience index value of the target cell;

12. The method of claim 7, wherein the method further comprises:

13. The method of claim 7, wherein updating the line information according to the quality of service score comprises:

14. A cell information processing apparatus, characterized in that the apparatus comprises:

15. The apparatus of claim 14, wherein the apparatus further comprises:

16. The apparatus of claim 14, wherein the target cell comprises at least a start cell, a via point cell, and an end cell;

the circuit information acquisition module comprises:

17. The apparatus of claim 16, wherein the first list determination unit is further configured to:

18. The apparatus of claim 16, wherein the two-three list determination unit is further configured to:

19. The apparatus of claim 14, wherein the apparatus further comprises:

20. The apparatus of claim 14, wherein the target cell comprises at least a start cell, a via point cell, and an end cell;

the learning result acquisition module includes:

21. The apparatus of claim 20, wherein the learning result acquisition module further comprises:

22. The apparatus of claim 21, wherein the cell sampling unit is further configured to:

23. The apparatus of claim 20, wherein the means for obtaining the route information is further configured to re-obtain the route information of the target mobile route for the terminal device in response to determining that the target mobile route has changed based on the cell sampling result.

24. The apparatus of claim 20, wherein the mass fraction acquisition unit is further configured to:

acquiring a use experience index value of the target cell;

25. The apparatus of claim 20, wherein the apparatus further comprises:

26. The apparatus of claim 20, wherein the learning result acquisition unit is further configured to:

27. A terminal device, the device comprising:

a processor and a memory for storing a computer program;

28. A computer readable storage medium having stored thereon a computer program, the program being embodied when executed by a processor: