CN106899987B - Method and device for calibrating data flow of mobile terminal - Google Patents

Abstract

The invention discloses a method and a device for calibrating data traffic of a mobile terminal, which are used for solving the technical problem that the existing traffic monitoring software cannot provide accurate traffic use information for a user. The method comprises the following steps: sending a flow inquiry request to an operator server according to the communication service type of the mobile terminal and a flow inquiry instruction corresponding to the communication service of the type; receiving a flow query result returned by the operator server, and analyzing the flow query result according to a preset analysis rule to acquire flow information contained in the flow query result; and sending the flow information to the mobile terminal so that the mobile terminal can calibrate the data flow counted by the local equipment according to the flow information.

Description

Method and device for calibrating data flow of mobile terminal

technical field

The present invention relates to the technical field of network communication, in particular to a method and device for calibrating data traffic of a mobile terminal.

Background technique

With the popularization of intelligent mobile terminals, more and more users are accustomed to accessing the Internet through mobile terminals in order to obtain various network information at any time. Operators generally charge corresponding traffic charges according to the data traffic generated when the mobile terminal obtains network information. In order to control the traffic tariff of the mobile terminal within a reasonable limit, usually, the user can install traffic monitoring software on the mobile terminal, and the traffic monitoring software can monitor the data traffic usage of the mobile terminal in real time in the background.

However, the data traffic counted by the traffic monitoring software is often inconsistent with the data traffic counted by the operator: for example, due to different billing rules, the traffic counted by the traffic monitoring software installed on the local device includes the traffic generated by the mobile terminal. However, the operator may further divide the traffic into various types such as ordinary traffic, directional traffic, preferential traffic, etc., so the operator may only count the ordinary traffic, resulting in inconsistency between the two. In addition, some services are not billed because they belong to the business category of free-flow download, for example, applications provided in the free-flow zone, MMS services, and so on. For another example, the traffic monitoring software installed on the local device cannot count the traffic retransmitted by the gateway, but the data traffic counted by the operator includes the data traffic retransmitted by the gateway, resulting in inconsistency between the two.

In a word, there is a discrepancy between the data traffic counted by the existing traffic monitoring software and the data traffic counted by the operator, so it is impossible to provide users with accurate traffic usage information, which in turn makes it impossible for users to accurately manage traffic charges based on the data traffic counted by the traffic monitoring software. .

SUMMARY OF THE INVENTION

In view of the above problems, the present invention is proposed in order to provide a method and apparatus for calibrating data traffic of a mobile terminal which overcomes the above problems or at least partially solves the above problems.

According to one aspect of the present invention, a method for calibrating data traffic of a mobile terminal is provided, comprising: sending traffic to an operator server according to a communication service type of the mobile terminal and a traffic query instruction corresponding to the type of communication service query request; receive the traffic query result returned by the operator server, parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein; send the traffic information to the mobile terminal, for the mobile terminal to calibrate the data traffic counted by the local device according to the traffic information.

According to another aspect of the present invention, a device for calibrating data traffic of a mobile terminal is provided, comprising: a query module adapted to query the command according to the communication service type of the mobile terminal and the traffic corresponding to the type of communication service Send a traffic query request to the operator server; a parsing module, adapted to receive the traffic query result returned by the operator server, and parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein; send The module is adapted to send the traffic information to the mobile terminal, so that the mobile terminal can calibrate the data traffic counted by the local device according to the traffic information.

In the method and device for calibrating data traffic of a mobile terminal provided by the present invention, a traffic query request can be sent to an operator server according to a communication service type of the mobile terminal and a traffic query instruction corresponding to the type of communication service, and The data traffic of the mobile terminal is calibrated according to the traffic query result returned by the operator's server, so as to overcome the technical problem of the discrepancy between the data traffic counted by the local device and the data traffic counted by the operator, thus enabling the user to Data traffic accurately manages traffic tariffs. Specifically, in the present invention, the traffic query result returned by the operator server is parsed through preset parsing rules to obtain the traffic information contained therein, thereby improving the efficiency and accuracy of the parsing.

The above description is only an overview of the technical solutions of the present invention, in order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand , the following specific embodiments of the present invention are given.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be considered limiting of the invention. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

1 shows a flowchart of a method for calibrating data traffic of a mobile terminal provided by the present invention;

FIG. 2 shows a flowchart of a method for calibrating data traffic of a mobile terminal provided by another specific embodiment of the present invention; and,

FIG. 3 shows a structural diagram of an apparatus for calibrating data traffic of a mobile terminal provided by the present invention.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

The embodiments of the present invention provide a method and device for calibrating data traffic of a mobile terminal, which can at least solve the technical problem that existing traffic monitoring software cannot provide users with accurate traffic usage information.

FIG. 1 shows a flowchart of a method for calibrating data traffic of a mobile terminal provided by the present invention. As shown in Figure 1, the method includes the following steps:

Step S110: Send a traffic query request to the operator server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the communication service of the type.

Among them, the communication service types of the mobile terminal include multiple types such as mobile, China Unicom, and telecommunications, and each type can be further divided into multiple sub-types. The traffic query instructions corresponding to various communication service types can be determined according to the traffic query method provided by the corresponding operator.

Step S120: Receive the traffic query result returned by the operator server, and parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein.

Among them, the parsing rules can be set in the following ways: collecting the traffic query results corresponding to various types of communication services in advance, dividing the traffic query results into multiple types according to the identification information contained in the traffic query results; analyzing each type separately The type of traffic information contained in the traffic query results of the corresponding traffic information and the format specification of the information fields corresponding to various traffic information; according to the format specifications of the information fields, the corresponding regular expression matching rules are set for each type of traffic query results. .

Correspondingly, the step of analyzing the traffic query result according to the preset parsing rule includes: determining the type of the traffic query result according to the identification information contained in the traffic query result returned by the operator server; obtaining the traffic query result corresponding to the type. The regular expression matching rules of ; match each character in the traffic query result returned by the operator server according to the regular expression matching rules to obtain the numerical values of various traffic information contained therein.

Step S130: Send the traffic information to the mobile terminal, so that the mobile terminal can calibrate the data traffic counted by the local device according to the traffic information.

It can be seen that, in the method provided by the present invention, the traffic query request can be sent to the operator server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the communication service of the type, and the traffic flow returned by the operator server can be sent according to the The query result calibrates the data flow of the mobile terminal, thereby overcoming the technical problem of the discrepancy between the data flow counted by the local device and the data flow counted by the operator, thus enabling the user to accurately manage the flow rate according to the data flow counted by the local device. Specifically, in the present invention, the traffic query result returned by the operator server is parsed through preset parsing rules to obtain the traffic information contained therein, thereby improving the efficiency and accuracy of the parsing.

FIG. 2 shows a flowchart of a method for calibrating data traffic of a mobile terminal according to another specific embodiment of the present invention. As shown in Figure 2, the method includes the following steps:

Step S210: Obtain the communication service type of each mobile terminal to be calibrated.

In this embodiment, the data traffic of multiple mobile terminals can be calibrated through the traffic calibration server. In specific implementation, all mobile terminals used by users of any software with traffic monitoring functions, such as flow monitoring software or mobile phone assistant software, may be used as calibration objects, or only mobile terminals with automatic calibration function enabled may be used as calibration objects. For example, a function entry of "automatic calibration function" can be set on any software interface with flow monitoring function. When the user chooses to enable the automatic calibration function through the function entry, the mobile terminal obtains the automatic calibration instruction, and automatically sends the automatic calibration instruction to the user according to the instruction. The server sends an automatic calibration request containing the identification information of the mobile terminal. The server determines the communication service type of the corresponding mobile terminal according to the identification information contained in the received automatic calibration request. Specifically, the identification information may be the mobile phone number of the mobile terminal, and the server determines the corresponding communication service type according to the attribution of the mobile phone number and other information. In addition, the identification information can also be the ICCID of the mobile terminal, which is solidified in the SIM card of the mobile phone and consists of 20 digits, and the corresponding communication service type can be determined according to the operator code contained therein. For example, China Mobile's code is 898600 or 898602, China Unicom's code is 898601, and China Telecom's code is 898603. Those skilled in the art can also use other forms of identification information, as long as the purpose of uniquely identifying the mobile terminal and determining the service type can be achieved.

In addition, in addition to obtaining the communication service type by analyzing the identification information by the server, the mobile terminal can also directly send the communication service type used by itself to the server.

Step S220: Obtain traffic query instructions corresponding to various communication service types.

In this embodiment, the communication service types can be divided into three types according to the type of the operator, namely, the mobile type, the China Unicom type, and the telecommunication type. Further, due to regional differences among operators, each of the above three types can be further divided into dozens of small types according to the number of provinces and cities in the country. For example, take the mobile type as an example. Said, further divided into Beijing Mobile, Henan Mobile, Jiangsu Mobile and other small types. Further, each small type of communication service can provide users with a variety of package types of services. Therefore, the above-mentioned small types can be further subdivided into several subtypes. For example, taking Beijing Mobile as an example, It further includes a dynamic zone type communication service, a Shenzhouxing type communication service, and the like. It can be seen that the communication service types in this embodiment include many sub-categories, some sub-categories have the same traffic query instructions, while some sub-categories have different traffic query instructions. Therefore, in this step, various communication The service type (including the above-mentioned large type, small type and sub-type) is configured with corresponding traffic query instructions respectively.

The traffic query instruction is determined according to the traffic query mode provided by the operator for the user. For example, operators usually provide users with a way to query data traffic by SMS, a way to query data traffic by phone, and a way to query data traffic by WeChat. In this embodiment, the traffic query instruction is set mainly according to the way of querying the data traffic through the short message provided by the operator. In the traffic query instruction, the query code and the query port number are further included. For example, taking the communication service of Beijing Mobile as an example, the traffic query instruction includes the following two parts: (1) query code: CXGLL (2) query port number: 10086.

In order to facilitate statistics and query, in this embodiment, the obtained traffic query instructions corresponding to various communication service types may be stored in a traffic query command table, where all mobile terminals to be calibrated are stored in the traffic query command table. The identification information, communication service type and its corresponding traffic query instruction. Moreover, in order to meet the needs of the operator's server upgrade and revision, the traffic query instruction table can be updated according to the received update instruction, and the update instruction further includes: an update instruction of a new type, an update instruction of a modification type, and an update instruction of a deletion type. . The traffic query instruction table may be maintained and updated by a special server to ensure that the traffic query instruction stored therein is the latest instruction information.

Step S230: Divide all the mobile terminals to be calibrated into a plurality of groups, and create a sub-process for calibrating the data flow of each mobile terminal in the group for each group.

Wherein, all mobile terminals to be calibrated may be divided into multiple groups according to the communication service types of the mobile terminals. For example, the mobile terminal to be calibrated can be divided into dozens of groups according to the type of operator and the region described by the operator, that is, dozens of groups including: Beijing Mobile, Henan Mobile, Beijing Unicom, Beijing Telecom, and Jiangsu Telecom. Alternatively, the groups may also be divided according to the traffic query instructions corresponding to the communication service types, so that the mobile terminals with the same traffic query instructions are divided into the same group. For example, it is possible that Beijing Mobile and Hebei Mobile have the same traffic query instructions, so these two types of mobile terminals can be divided into the same group.

After the mobile terminal is divided into multiple groups, one or more sub-processes for calibrating the data flow of each mobile terminal in the group are respectively created for each group. By means of multi-process parallel processing, the calibration efficiency can be significantly improved, so that the server can provide calibration services for multiple mobile terminals at the same time.

Step S240: Each sub-process sends a traffic query request to the operator server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the communication service of the type.

Wherein, each sub-process may send a traffic query request every preset time interval to trigger a subsequent traffic calibration operation. The time interval can be determined in various ways, for example, it can be determined by a pre-received cycle setting instruction from the mobile terminal, or it can also be set by the server, for example, it is set to be sent every other day Traffic query request or send traffic query request every hour, etc.

During specific implementation, each sub-process sends a traffic query request to each mobile terminal in the group in parallel with each other, thereby improving query efficiency. Each sub-process first obtains the identification information of the mobile terminal to be calibrated in the corresponding group, the communication service type and its corresponding traffic query instruction by reading the flow query instruction table. Then, according to the identification information of the mobile terminal, each mobile terminal in the group sends a traffic query request respectively. Wherein, each traffic query request is sent in the name of the corresponding mobile terminal, for example, by modifying the sender address included in the traffic query request to send the traffic query request instead of the mobile terminal to query the data traffic of the corresponding mobile terminal the goal of.

The traffic query request may be a traffic query short message generated according to the query code and the query port number contained in the traffic query instruction. For example, when the query code "CXGLL" and the query port number "10086" are included in the traffic query instruction, a short message with the short message content "CXGLL" is constructed and sent to the recipient with the number "10086". In addition to the implementation of the traffic query short message, those skilled in the art can also send the traffic query request in various forms such as voice messages and WeChat messages.

Step S250: Receive the traffic query result returned by the operator server, and parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein.

When the traffic query request is a traffic query short message, the traffic query result returned by the operator server is a traffic feedback short message containing traffic information. Among them, the traffic query result may contain various traffic information, such as: total traffic in the package, traffic used in this month, remaining traffic in this month, local data traffic, and roaming data traffic.

In this step, the traffic query result is parsed by using a preset parsing rule, so as to obtain the specific value of the traffic information contained therein. Among them, the parsing rules can be set by the following steps:

(1) Collect the traffic query results corresponding to various types of communication services in advance.

The purpose of this step is to obtain a sample of the traffic query result. Wherein, the collection can be performed by manual acquisition, or the server can send traffic query requests of various communication service types to each operator's server, so as to obtain corresponding traffic query results. To facilitate analysis, for each type of communication service, multiple traffic query results can be obtained as samples. The larger the number of samples, the more accurate the analysis results and the higher the accuracy of subsequent analysis.

(2) According to the identification information contained in the traffic query result, the traffic query result is divided into various types.

The purpose of this step is to classify the samples of massive traffic query results. The identification information included in the traffic query result may be an operator identification. For example, take the traffic query result returned by China Mobile as an example, which includes the port number "10086" for identifying operator information. Correspondingly, the traffic query result returned by China Unicom includes the port number "10010". It can be seen that the traffic query results can be divided into three types: mobile, China Unicom, and telecommunications according to the operator ID. In addition, the identification information included in the traffic query result may further include regional information, and the traffic query result can be further subdivided into Beijing mobile type, Hebei mobile type, etc. through the regional information. In addition, Beijing Mobile types can be further divided into dynamic zone type Beijing mobile terminal types, global access type Beijing mobile terminal types, and Shenzhouxing type Beijing mobile types according to the package types of the mobile terminals. In a word, the present invention does not limit the specific content and classification manner of the identification information. Since the short message formats corresponding to the same type of traffic query results are the same, classifying the samples of the traffic query results can uniformly process the same type of results, thereby improving the processing efficiency.

(3) Analyze the types of traffic information contained in each type of traffic query result and the format specification of information fields corresponding to various traffic information.

For example, taking the traffic query result of the dynamic zone type Beijing Mobile as an example, the corresponding SMS content of a sample is "Hello! Carry forward from the previous month to this month: the domestic general traffic carried over from the previous month is 6.0MB, and the local idle time is 6.0MB. The traffic carried over from the previous month was 100.0MB. As of 15:01 on December 17, 2015, you have used 9.15MB of data traffic, and the remaining traffic in the package is 216.86MB, of which the remaining domestic general traffic is 17.86MB (including domestic general traffic). Carry forward 0.0MB), the remaining 199.0MB of local idle traffic (including 99.0MB of local idle traffic), thank you for using the traffic query service. You can use the client to check the traffic usage at any time. Click to download: http:/ /mobilebj.cn/?c=120/China Mobile”.

First, analyze the content of the above-mentioned short messages, and determine that it contains at least the following traffic information: a) domestic general traffic carried over from the previous month, b) local idle traffic carried over from the previous month, c) used data traffic, d) package remaining flow. Among them, the remaining traffic in the package is further divided into two parts: the remaining domestic general traffic and the remaining local idle traffic.

Then, the format specification of the information field corresponding to each kind of traffic information is analyzed. For example, the information fields corresponding to the carry-over of domestic general traffic last month include "Domestic general traffic carried forward last month" and "6.0MB". Among them, the information field "Domestic General Traffic Carryover from Last Month" is a fixed field, and this field does not change in each returned query result. The information field "6.0MB" is a variable field, which is updated in real time according to the traffic usage in each returned query result. Further, the variable field includes the first part consisting of Arabic numerals and the first part consisting of English letters the second part. Similarly, other types of traffic information also contain at least fixed fields and variable fields.

(4) Set corresponding regular expression matching rules for each type of traffic query result according to the format specification of the information field.

When setting the regular expression matching rule, set it according to the characteristics of the information field and the format specification. For example, taking the fixed field "Domestic general traffic carried over from last month" as an example, a matching rule can be set by the regular expression "[u4e00-u9fa5]" that matches Chinese characters. For another example, taking the variable field "6.0MB" as an example, the first part of the variable field can be set by a regular expression for matching Arabic numerals, and the second part can be set by a regular expression used to match uppercase English letters. expression to set matching rules. In addition, regular expressions can also match various types of content such as spaces, URLs, positive integers, negative integers, and floating-point numbers.

Correspondingly, when parsing the traffic query result according to the above parsing rules, the following steps can be specifically implemented:

(1) Determine the type of the traffic query result according to the identification information included in the traffic query result returned by the operator server.

For example, when the identification information is "10086", it is determined to be a traffic query result of China Mobile type. Further, the operator's home location and package type corresponding to the number can also be determined according to the mobile terminal number included in the traffic query result.

(2) Obtain the regular expression matching rule corresponding to the traffic query result of this type.

Among them, the regular expression matching rules corresponding to various types of traffic query results can be stored in a preset matching rule table in advance, and by querying the matching rule table, the corresponding types of traffic query results can be obtained. regular expression matching rules.

(3) Matching each character in the traffic query result returned by the operator server according to the obtained regular expression matching rule to obtain the numerical values of various traffic information contained therein.

For example, taking the traffic query result of the above-mentioned dynamic zone type Beijing Mobile as an example, by matching each character in the traffic query result through regular expression matching rules, the fixed fields and variable fields corresponding to various traffic information contained therein can be determined. The content of the field, and then analyze the value of various traffic information.

Step S260: Send the acquired traffic information to the mobile terminal, so that the mobile terminal can calibrate the data traffic counted by the local device according to the traffic information.

The data traffic counted by the local device of the mobile terminal may be the data traffic counted by the traffic monitoring software, and the data traffic is mainly obtained through the network card of the mobile terminal. After the traffic monitoring software receives the traffic information from the server, it compares the traffic information from the server with the traffic information from the local statistics. If the two are consistent, no processing is required; traffic information.

Because the mobile terminal cannot locally count the data traffic retransmitted by the network management, and the mobile terminal cannot identify the preferential traffic in some traffic-free zones locally, the statistical results cannot be accurate, and the data traffic returned by the operator's server is the final billing standard. , therefore, the method in this embodiment can make the data traffic counted locally by the mobile terminal consistent with that of the operator, thereby accurately reminding the user of the tariff situation.

Optionally, in this method, a reminder message may be sent to the user according to the calibrated data flow. For example, when the calibrated data flow exceeds a preset threshold, a reminder message can be sent to the user, and the reminder message can be sent in a variety of ways such as a pop-up box and a short message. The preset threshold can be determined according to a pre-received threshold setting instruction, and the user can send a threshold setting instruction containing preset threshold information through the function portal for setting an alarm threshold provided by the traffic monitoring software. In addition, the preset threshold can also be set according to the total amount of traffic included in the mobile terminal package service, for example, when the used data traffic reaches 80% of the total available traffic, a reminder message is sent out. Further, if the used data traffic after calibration is equal to or greater than the total amount of available traffic, the current network connection can also be disconnected, and a prompt is given to the user at the same time.

Through the above steps in the embodiment of the present invention, the server can automatically complete the traffic calibration operation for multiple mobile terminals. Since the operations of sending traffic query requests and receiving traffic query results are unified by the server through multi-process parallel processing, it can not only improve query efficiency, but also calibrate a large number of mobile terminals; Interference from end users. In addition, in the present invention, a regular expression matching rule is preset, and the traffic query result is parsed according to the matching rule. Because the regular expression query is convenient and the matching is fast, the analysis time of the server is shortened and the analysis efficiency is improved; Moreover, since the type of regular expression is very flexible and can be adapted to fields of various formats, the accuracy of parsing is also improved, and the calibrated flow of the present invention is more accurate.

Those skilled in the art can also make various improvements or modifications to the above embodiments, the above steps can be combined into fewer steps or divided into more steps, and some of the steps can be omitted. For example, the step of grouping the mobile terminals and setting up multiple processes to calibrate the mobile terminals in each group can also be omitted.

In addition, those skilled in the art can also flexibly modify the implementation manners in the above steps. For example, the steps of sending the traffic query request and receiving the traffic query result may also be completed by the mobile terminal. At this time, the mobile terminal sends the received traffic query result to the server for analysis. In order to reduce the interference to the mobile terminal user, the operation of sending the traffic query request can be automatically completed by the mobile terminal, for example, the user only needs to set it through the "silent calibration" function portal provided by the traffic monitoring software. Moreover, the mobile terminal can also intercept the received traffic query result so that it does not enter the inbox of the mobile terminal user. For example, it can be intercepted through the entrance of the short message interception function in the protection software installed on the mobile terminal. It can also be intercepted according to the sender's number (the interception number is the SMS of the operator). In order to avoid intercepting the SMS useful to the user, the interception time can be set. For example, the operator within the preset time period after the traffic query request is intercepted. Short message.

FIG. 3 shows a structural diagram of an apparatus for calibrating data traffic of a mobile terminal according to another embodiment of the present invention. As shown in Figure 3, the device includes:

The query module 31 is adapted to send a traffic query request to the operator server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the type of communication service;

The parsing module 32 is adapted to receive the traffic query result returned by the operator server, and parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein;

The sending module 33 is adapted to send the traffic information to the mobile terminal, so that the mobile terminal can calibrate the data traffic counted by the local device according to the traffic information.

Optionally, the device further includes: a parsing rule setting module, adapted to collect in advance the traffic query results corresponding to various types of communication services, and according to the identification information contained in the traffic query results, set the traffic query results. Divided into multiple types; analyze the types of traffic information contained in the traffic query results of each type and the format specifications of the information fields corresponding to various traffic information; according to the format specifications of the information fields, each type is Set the corresponding regular expression matching rules for the traffic query results.

Optionally, the parsing module 32 is specifically configured to: determine the type of the traffic query result according to the identification information included in the traffic query result returned by the operator server; obtain a regular pattern corresponding to the traffic query result of this type. Expression matching rules; each character in the traffic query result returned by the operator server is matched according to the regular expression matching rules to obtain numerical values of various traffic information contained therein.

Optionally, the types of traffic information included in the traffic query result include one or more of the following: total traffic in the package, used traffic this month, remaining traffic this month, local data traffic, and roaming data traffic.

Optionally, the traffic query request is a traffic query short message generated according to the query code and the query port number contained in the traffic query instruction, and the traffic query result is a traffic feedback short message including traffic information.

Optionally, the device further includes: a traffic reminder module, adapted to send a traffic reminder message to the mobile terminal when the value of the traffic information contained in the traffic query result returned by the operator server exceeds a preset threshold.

In the method and device for calibrating data traffic of a mobile terminal provided by the present invention, a traffic query request can be sent to an operator server according to a communication service type of the mobile terminal and a traffic query instruction corresponding to the type of communication service, and The data traffic of the mobile terminal is calibrated according to the traffic query result returned by the operator's server, so as to overcome the technical problem of the discrepancy between the data traffic counted by the local device and the data traffic counted by the operator, thus enabling the user to Data traffic accurately manages traffic tariffs. Specifically, in the present invention, the traffic query result returned by the operator server is parsed through preset parsing rules to obtain the traffic information contained therein, thereby improving the efficiency and accuracy of the parsing.

The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used with teaching based on this. The structure required to construct such a system is apparent from the above description. Furthermore, the present invention is not directed to any particular programming language. It is to be understood that various programming languages may be used to implement the inventions described herein, and that the descriptions of specific languages above are intended to disclose the best mode for carrying out the invention.

In the description provided herein, numerous specific details are set forth. It will be understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it is to be understood that in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or its description. This disclosure, however, should not be construed as reflecting an intention that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and further they may be divided into multiple sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method so disclosed may be employed in any combination, unless at least some of such features and/or procedures or elements are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, it will be understood by those skilled in the art that although some of the embodiments herein include certain features, but not others, included in other embodiments, that combinations of features of the different embodiments are intended to be within the scope of the present invention And form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

Various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the apparatus according to the embodiments of the present invention. The present invention can also be implemented as apparatus or apparatus programs (eg, computer programs and computer program products) for performing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such signals may be downloaded from Internet sites, or provided on carrier signals, or in any other form.

It should be noted that the above-described embodiments illustrate rather than limit the invention, and that alternative embodiments may be devised by those skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. do not denote any order. These words can be interpreted as names.

Claims (12)

1. A method for calibrating data traffic of a mobile terminal, comprising: Send a traffic query request to the operator's server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the type of communication service; Receive the traffic query result returned by the operator's server, parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein; send the traffic information to the mobile terminal for all The mobile terminal calibrates the data traffic counted by the local device according to the traffic information; Wherein, all the mobile terminals to be calibrated are divided into multiple groups, and sub-processes for calibrating the data flow of each mobile terminal in the group are created for each group respectively, and the calibration is performed by each sub-process; wherein, according to the type of communication service The corresponding traffic query instructions are divided into groups, so that mobile terminals with the same traffic query instructions are divided into the same group. 2. The method of claim 1, wherein the parsing rules are set in the following manner: Collecting traffic query results corresponding to various types of communication services in advance, and dividing the traffic query results into multiple types according to the identification information contained in the traffic query results; Analyze the types of traffic information contained in each type of traffic query result and the format specification of the information fields corresponding to various traffic information; Corresponding regular expression matching rules are respectively set for each type of traffic query result according to the format specification of the information field. 3. The method according to claim 2, wherein the step of parsing the traffic query result according to a preset parsing rule comprises: Determine the type of the traffic query result according to the identification information contained in the traffic query result returned by the operator server; Get the regular expression matching rule corresponding to the traffic query result of this type; Each character in the traffic query result returned by the operator server is matched according to the regular expression matching rule to obtain numerical values of various traffic information contained therein. 4. The method according to claim 1, wherein the types of the traffic information contained in the traffic query result include one or more of the following: total traffic in the package, used traffic this month, remaining traffic this month, local traffic data traffic and roaming data traffic. 5. The method according to claim 1, wherein the traffic query request is a traffic query short message generated according to a query code and a query port number contained in the traffic query instruction, and the traffic query result includes traffic information traffic feedback SMS. 6. The method of claim 1, further comprising the step of: When the value of the traffic information included in the traffic query result returned by the operator server exceeds a preset threshold, a traffic reminder message is sent to the mobile terminal. 7. A device for calibrating data traffic of a mobile terminal, comprising: a query module, adapted to send a traffic query request to the operator server according to the communication service type of the mobile terminal and the traffic query instruction corresponding to the type of communication service; a parsing module, adapted to receive the traffic query result returned by the operator server, and parse the traffic query result according to a preset parsing rule to obtain the traffic information contained therein; a sending module, adapted to send the traffic information to the mobile terminal, so that the mobile terminal can calibrate the data traffic counted by the local device according to the traffic information; Wherein, all the mobile terminals to be calibrated are divided into multiple groups in advance, and a sub-process for calibrating the data flow of each mobile terminal in the group is created for each group; the query module, the parsing module and the sending module are composed of each The sub-processes are implemented separately; wherein, the groups are divided according to the traffic query instructions corresponding to the communication service types, so that the mobile terminals with the same traffic query instructions are divided into the same group. 8. The device according to claim 7, further comprising: a parsing rule setting module, adapted to collect in advance traffic query results corresponding to various types of communication services, according to the identification information contained in the traffic query results , divide the traffic query results into multiple types; analyze the types of traffic information contained in the traffic query results of each type and the format specifications of the information fields corresponding to various traffic information; The format specification sets corresponding regular expression matching rules for each type of traffic query result. 9. The apparatus according to claim 8, wherein the parsing module is specifically configured to: determine the type of the traffic query result according to the identification information contained in the traffic query result returned by the operator server; The regular expression matching rule corresponding to the traffic query result; according to the regular expression matching rule, each character in the traffic query result returned by the operator server is matched to obtain the numerical value of various traffic information contained therein. . 10. The device according to claim 7, wherein the types of traffic information included in the traffic query result include one or more of the following: total traffic in the package, used traffic this month, remaining traffic this month, local traffic data traffic and roaming data traffic. 11. The device according to claim 7, wherein the traffic query request is a traffic query short message generated according to the query code and query port number contained in the traffic query instruction, and the traffic query result contains traffic information traffic feedback SMS. 12. The device according to claim 7, further comprising: a traffic reminder module, adapted to send the mobile phone to the mobile phone when the value of the traffic information contained in the traffic query result returned by the operator server exceeds a preset threshold The terminal sends a traffic reminder message.

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