CN112966731A - Mobile phone identification method and device for network questionnaire survey - Google Patents
Mobile phone identification method and device for network questionnaire survey Download PDFInfo
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- CN112966731A CN112966731A CN202110227003.9A CN202110227003A CN112966731A CN 112966731 A CN112966731 A CN 112966731A CN 202110227003 A CN202110227003 A CN 202110227003A CN 112966731 A CN112966731 A CN 112966731A
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Abstract
The application discloses a mobile phone identification method and device for network questionnaire survey. The method comprises the following steps: when a user participates in a network questionnaire survey through a mobile phone to be identified, acquiring user agent data in mobile phone data to be identified of the mobile phone to be identified, identifying the user agent data, and acquiring brand data and model feature data of the mobile phone to be identified; and matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model to obtain the model data of the mobile phone to be identified, and outputting identification result data based on the brand data and the model data. By the method, the mobile phone brand and model can be identified in the network questionnaire survey, the mobile phone identification efficiency is improved, and the user experience is improved.
Description
Technical Field
The application relates to the field of communication, in particular to a mobile phone identification method and device for network questionnaire survey.
Background
With the continuous development of mobile phones and information technologies, the mobile phones are updated more and more quickly, and the brands and models of the mobile phones are also quite various.
In network questionnaire surveys in some industries such as science and technology, media, telecommunication and the like, the brand and the model of a mobile phone of a user need to be obtained, in the prior art, the brand and the model of the mobile phone are mainly obtained through filling by the user, the user time is occupied, the questionnaire filling experience of the user is reduced, and the problem that the filling of the brand and the model of the mobile phone is wrong possibly exists, so that the questionnaire result is inaccurate.
Therefore, the network questionnaire survey in the prior art is difficult to realize the technical problem of mobile phone brand and model identification.
Content of application
The main purpose of the present application is to provide a mobile phone identification method and apparatus for network questionnaire survey, so as to improve the efficiency of mobile phone brand and model identification when performing network questionnaire survey, and solve the technical problem that the network questionnaire survey in the prior art is difficult to realize mobile phone brand and model identification.
In order to achieve the aim, the invention provides a mobile phone identification method for network questionnaire survey.
In a second aspect of the present invention, a mobile phone identification apparatus for web questionnaire survey is provided.
In a third aspect of the invention, a computer-readable storage medium is provided.
In view of the above, according to a first aspect of the present invention, a method for identifying a mobile phone for web questionnaire is provided, including: when a user participates in a network questionnaire survey through a mobile phone to be identified, obtaining mobile phone data to be identified of the mobile phone to be identified, wherein the mobile phone data to be identified at least comprises user agent data; identifying the user agent data to obtain brand data and model feature data of the mobile phone to be identified; matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model, and obtaining model data of the mobile phone to be identified; and outputting identification result data including the brand data and the model data.
Further, matching model identification models corresponding to the brand data includes: identifying the brand data and determining a corresponding system type of the brand data; matching a model identification model corresponding to the system type based on the system type; wherein matching a model identification model corresponding to the system type based on the system type comprises: if the system type is a first system type, matching a first model identification model corresponding to the first system type; and if the system type is a second system type, matching a second type number identification model corresponding to the second system type.
Further, matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model, and obtaining the model data of the mobile phone to be identified, includes: identifying the model characteristic data based on a first model identification model corresponding to the first system type to obtain model data of the mobile phone to be identified; and identifying the model characteristic data based on a second model identification model corresponding to the second system type to obtain the model data of the mobile phone to be identified.
Further, identifying the user agent data to obtain brand data and model feature data of the mobile phone to be identified includes: identifying the user agent data based on a preset brand identification rule to acquire brand data of the mobile phone to be identified; and identifying the user agent data based on a preset model identification rule to acquire model characteristic data of the mobile phone to be identified.
Further, based on a preset model identification rule, identifying the user agent data to obtain model characteristic data of the mobile phone to be identified, including: identifying whether the user agent data comprises model characteristic data or not, and if the user agent data comprises the model characteristic data of the mobile phone to be identified, acquiring the model characteristic data of the mobile phone to be identified; and if the user agent data does not contain the model characteristic data of the mobile phone to be identified, executing operation processing on the mobile phone to be identified based on the user agent data to obtain the model characteristic data of the mobile phone to be identified.
In a second aspect of the present invention, a mobile phone identification apparatus for web questionnaire survey is provided, including: the system comprises a data acquisition module, a network questionnaire survey module and a recognition module, wherein the data acquisition module is used for acquiring mobile phone data to be recognized of a mobile phone to be recognized when a user participates in a network questionnaire survey through the mobile phone to be recognized, and the mobile phone data to be recognized at least comprises user agent data; the brand identification module is used for identifying the user agent data and acquiring brand data and model feature data of the mobile phone to be identified; the model identification module is used for matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model and obtaining the model data of the mobile phone to be identified; and the result output module is used for outputting identification result data, and the identification result data comprises the brand data and the model data.
Further, the model identification module is configured to match a model identification model corresponding to the brand data, and includes: identifying the brand data and determining a corresponding system type of the brand data; matching a model identification model corresponding to the system type based on the system type; wherein matching a model identification model corresponding to the system type based on the system type comprises: if the system type is a first system type, matching a first model identification model corresponding to the first system type; and if the system type is a second system type, matching a second type number identification model corresponding to the second system type.
Further, the model identification module is configured to match a model identification model corresponding to the brand data, identify the model feature data based on the model identification model, and obtain the model data of the mobile phone to be identified, and includes: identifying the model characteristic data based on a first model identification model corresponding to the first system type to obtain model data of the mobile phone to be identified; and identifying the model characteristic data based on a second model identification model corresponding to the second system type to obtain the model data of the mobile phone to be identified.
Further, a brand identification module, configured to identify the user agent data and obtain brand data and model feature data of the mobile phone to be identified, includes: identifying the user agent data based on a preset brand identification rule to acquire brand data of the mobile phone to be identified; and identifying the user agent data based on a preset model identification rule to acquire model characteristic data of the mobile phone to be identified.
In a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, implements the steps of the above-mentioned mobile phone identification method for web questionnaire.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, in the process of participating in questionnaire survey, when the identification requirement of the mobile phone is identified, the mobile phone data to be identified of the user is acquired, the brand feature data and the model feature data of the mobile phone to be identified are obtained by identifying the mobile phone data to be identified of the user, the brand data of the mobile phone to be identified is identified based on the brand feature data and the model feature data of the mobile phone to be identified, and matching a model identification model corresponding to the brand feature data of the mobile phone to be identified, processing the model feature data based on the model identification model to obtain the model data of the mobile phone to be identified, and outputting the brand data and the model data of the mobile phone to be identified as an identification result, so that the brand and the model of the mobile phone are identified in a network questionnaire, the identification efficiency and the identification accuracy of the mobile phone are improved, and the user experience is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flowchart of a mobile phone identification method for web questionnaire survey according to the present application;
fig. 2 is a schematic flowchart of a mobile phone identification method for web questionnaire survey according to the present application;
fig. 3 is a schematic flowchart of a mobile phone identification method for web questionnaire survey according to the present application;
fig. 4 is a schematic structural diagram of a mobile phone identification device for web questionnaire survey according to the present application;
fig. 5 is a schematic structural diagram of another mobile phone identification device for web questionnaire survey according to the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Fig. 1 is a schematic flowchart of a mobile phone identification method for web questionnaire survey according to the present application, and as shown in fig. 1, the method includes the following steps:
s101: when a user participates in a network questionnaire survey through a mobile phone to be identified, obtaining mobile phone data to be identified of the mobile phone to be identified, wherein the mobile phone data to be identified at least comprises user agent data;
when the mobile phone to be identified participates in network questionnaire survey through an HTTP protocol, the browser of the mobile phone system to be identified sends user agent data to a network questionnaire end server to obtain the user agent data of the mobile phone to be identified.
The mobile phone data to be identified is the mobile phone basic data of the mobile phone to be identified, and does not relate to the user data stored in the mobile phone.
S102: identifying the user agent data to obtain brand data and model feature data of the mobile phone to be identified;
fig. 2 is a schematic flow chart of acquiring the brand data and model feature data of the mobile phone to be identified according to the present application, as shown in fig. 2,
s201: identifying the user agent data based on a preset brand identification rule to acquire brand data of the mobile phone to be identified;
s202: and identifying the user agent data based on a preset model identification rule to acquire model characteristic data of the mobile phone to be identified.
Identifying whether the user agent data comprises model characteristic data or not, and if the user agent data comprises the model characteristic data of the mobile phone to be identified, acquiring the model characteristic data of the mobile phone to be identified;
and if the user agent data does not contain the model characteristic data of the mobile phone to be identified, executing operation processing on the mobile phone to be identified based on the user agent data to obtain the model characteristic data of the mobile phone to be identified.
The model characteristic data of the mobile phone to be identified is acquired by sending a preset algorithm program to the mobile phone to be identified when the model characteristic data does not exist in the user agent data, and the model characteristic data of the mobile phone to be identified is operation data of the mobile phone to be identified based on the algorithm program.
If the mobile phone to be identified is a Huawei mobile phone, the model characteristic data exists in the user agent data, and the model characteristic data in the user agent data is obtained;
if the mobile phone to be identified is an apple mobile phone, model characteristic data does not exist in the user agent data, the questionnaire end server can acquire the running data of the mobile phone to be identified based on the JS codes and the preset algorithm program, and the method comprises the following steps: and obtaining model characteristic data of the mobile phone to be identified according to data such as GPU type, CPU computing capacity and the like.
S103: matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model, and obtaining model data of the mobile phone to be identified;
fig. 3 is a schematic flow chart of the identification of the model data of the mobile phone to be identified provided in the present application, as shown in fig. 3,
s301: identifying the brand data and determining a corresponding system type of the brand data;
the system types correspond to the brand data one to one, for example, an apple mobile phone corresponds to an iOS system, a hua shi mobile phone corresponds to a hongmeng system, and an OPPO mobile phone corresponds to a ColorOS system.
S302: matching a model identification model corresponding to the system type based on the system type;
if the system type is a first system type, matching a first model identification model corresponding to the first system type;
and if the system type is a second system type, matching a second type number identification model corresponding to the second system type.
For example, if the system type is an iOS system, an iOS system model identification model corresponding to the iOS system is matched;
if the system type is a hong meng system, matching a hong meng system model identification model corresponding to the hong meng system;
and if the system type is the ColoroS system, matching the ColoroS system model identification model corresponding to the ColoroS system.
S303: identifying the model characteristic data based on the model identification model to obtain model data of the mobile phone to be identified;
identifying the model characteristic data based on a first model identification model corresponding to the first system type to obtain model data of the mobile phone to be identified;
and identifying the model characteristic data based on a second model identification model corresponding to the second system type to obtain the model data of the mobile phone to be identified.
For example, based on an iOS system model identification model corresponding to the iOS system, identifying the model feature data to obtain model data of the mobile phone to be identified;
identifying the model characteristic data based on a Hongming system model identification model corresponding to the Hongming system to obtain model data of the mobile phone to be identified;
and the ColoroS system model identification model corresponding to the ColoroS system identifies the model characteristic data to obtain the model data of the mobile phone to be identified.
S104: outputting identification result data including the brand data and the model data.
The invention can also realize the rechecking of the identification result data:
the identification result data can be output to a mobile phone to be identified by a user, and a judgment result of the user on the identification result data can also be obtained;
if the judgment result is positive, storing the identification result data and the mobile phone data to be identified;
if the judgment result is negative, rechecking the identification result data, including;
if the rechecking result is that the identification result data are correct, storing the identification result data and the data to be identified, and outputting judgment error prompt information;
and if the rechecking result is that the identification result data is wrong, acquiring rechecking identification result data based on the user judgment data, outputting the rechecking identification result data and identification error prompt information, and storing the rechecking identification result data and the mobile phone data to be identified.
And rechecking the identification result can execute rechecking operation by calling an external interface.
Fig. 4 is a schematic structural diagram of a mobile phone identification apparatus for web questionnaire survey according to the present application.
The data acquisition module 41 is configured to acquire to-be-identified mobile phone data of a to-be-identified mobile phone when a user participates in a network questionnaire survey through the to-be-identified mobile phone, where the to-be-identified mobile phone data at least includes user agent data;
the brand identification module 42 is configured to identify the user agent data, and obtain brand data and model feature data of the mobile phone to be identified;
the model identification module 43 is configured to match a model identification model corresponding to the brand data, identify the model feature data based on the model identification model, and obtain model data of the mobile phone to be identified; and
a result output module 44, configured to output identification result data, where the identification result data includes the brand data and the model data.
The MongoDB database is adopted in the application, so that the high concurrency requirement in the mobile phone identification process is met conveniently.
Fig. 5 is a schematic structural diagram of another mobile phone identification device for web questionnaire survey according to the present application.
The brand data identification module 51 is used for identifying the user agent data based on a preset brand identification rule and acquiring the brand data of the mobile phone to be identified;
the model characteristic data obtaining module 52 identifies the user agent data based on a preset model identification rule, and obtains model characteristic data of the mobile phone to be identified.
Identifying whether the user agent data comprises model characteristic data or not, and if the user agent data comprises the model characteristic data of the mobile phone to be identified, acquiring the model characteristic data of the mobile phone to be identified;
and if the user agent data does not contain the model characteristic data of the mobile phone to be identified, executing operation processing on the mobile phone to be identified based on the user agent data to obtain the model characteristic data of the mobile phone to be identified.
The model characteristic data of the mobile phone to be identified is acquired by sending a preset algorithm program to the mobile phone to be identified when the model characteristic data does not exist in the user agent data, and the model characteristic data of the mobile phone to be identified is operation data of the mobile phone to be identified based on the algorithm program.
The specific manner of executing the operations of the units in the above embodiments has been described in detail in the embodiments related to the method, and will not be elaborated herein.
In summary, in the application, in the process of participating in questionnaire survey, when the identification requirement of the mobile phone is identified, the mobile phone data to be identified of the user is acquired, the mobile phone data to be identified of the user is identified, the brand feature data and the model feature data of the mobile phone to be identified are acquired, the brand data of the mobile phone to be identified is identified based on the brand feature data and the model feature data of the mobile phone to be identified, the model identification model corresponding to the brand feature data of the mobile phone to be identified is matched, the model feature data is processed based on the model identification model to acquire the model data of the mobile phone to be identified, the brand data and the model data of the mobile phone to be identified are output as the identification result, the identification of the brand and the model of the mobile phone in the network questionnaire is realized, and the efficiency and the accuracy of mobile phone identification are improved, and the user experience is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It will be apparent to those skilled in the art that the various elements or steps of the present application described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of multiple computing devices, or alternatively, may be implemented by program code executable by a computing device, such that the program code may be stored in a memory device and executed by a computing device, or may be implemented by individual integrated circuit modules, or by a plurality of modules or steps included in the program code as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A mobile phone identification method for network questionnaire survey is characterized by comprising the following steps:
when a user participates in a network questionnaire survey through a mobile phone to be identified, obtaining mobile phone data to be identified of the mobile phone to be identified, wherein the mobile phone data to be identified at least comprises user agent data;
identifying the user agent data to obtain brand data and model feature data of the mobile phone to be identified;
matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model, and obtaining model data of the mobile phone to be identified; and
outputting identification result data including the brand data and the model data.
2. The method of claim 1, wherein matching a model identification model corresponding to the brand data comprises:
identifying the brand data and determining a corresponding system type of the brand data; and
matching a model identification model corresponding to the system type based on the system type;
wherein matching a model identification model corresponding to the system type based on the system type comprises:
if the system type is a first system type, matching a first model identification model corresponding to the first system type;
and if the system type is a second system type, matching a second type number identification model corresponding to the second system type.
3. The mobile phone identification method according to claim 1 or claim 2, wherein matching a model identification model corresponding to the brand data, identifying the model feature data based on the model identification model, and obtaining model data of the mobile phone to be identified comprises:
identifying the model characteristic data based on a first model identification model corresponding to the first system type to obtain model data of the mobile phone to be identified;
and identifying the model characteristic data based on a second model identification model corresponding to the second system type to obtain the model data of the mobile phone to be identified.
4. The method for identifying a mobile phone according to claim 1, wherein identifying the user agent data to obtain brand data and model feature data of the mobile phone to be identified comprises:
identifying the user agent data based on a preset brand identification rule to acquire brand data of the mobile phone to be identified;
and identifying the user agent data based on a preset model identification rule to acquire model characteristic data of the mobile phone to be identified.
5. The method for identifying a mobile phone according to claim 4, wherein identifying the user agent data based on a preset model identification rule to obtain model feature data of the mobile phone to be identified comprises:
identifying whether the user agent data comprises model characteristic data or not, and if the user agent data comprises the model characteristic data of the mobile phone to be identified, acquiring the model characteristic data of the mobile phone to be identified;
and if the user agent data does not contain the model characteristic data of the mobile phone to be identified, executing operation processing on the mobile phone to be identified based on the user agent data to obtain the model characteristic data of the mobile phone to be identified.
6. A mobile phone identification device for web questionnaire, comprising:
the system comprises a data acquisition module, a network questionnaire survey module and a recognition module, wherein the data acquisition module is used for acquiring mobile phone data to be recognized of a mobile phone to be recognized when a user participates in a network questionnaire survey through the mobile phone to be recognized, and the mobile phone data to be recognized at least comprises user agent data;
the brand identification module is used for identifying the user agent data and acquiring brand data and model feature data of the mobile phone to be identified;
the model identification module is used for matching a model identification model corresponding to the brand data, identifying the model characteristic data based on the model identification model and obtaining the model data of the mobile phone to be identified; and
and the result output module is used for outputting identification result data, and the identification result data comprises the brand data and the model data.
7. The device of claim 6, wherein the model identification module is configured to match a model identification model corresponding to the brand data, and comprises:
identifying the brand data and determining a corresponding system type of the brand data; and
matching a model identification model corresponding to the system type based on the system type;
wherein matching a model identification model corresponding to the system type based on the system type comprises:
if the system type is a first system type, matching a first model identification model corresponding to the first system type;
and if the system type is a second system type, matching a second type number identification model corresponding to the second system type.
8. The mobile phone identification device according to claim 6 or claim 7, wherein the model identification module is configured to match a model identification model corresponding to the brand data, identify the model feature data based on the model identification model, and obtain the model data of the mobile phone to be identified, and includes:
identifying the model characteristic data based on a first model identification model corresponding to the first system type to obtain model data of the mobile phone to be identified;
and identifying the model characteristic data based on a second model identification model corresponding to the second system type to obtain the model data of the mobile phone to be identified.
9. The device for identifying a mobile phone according to claim 1, wherein a brand identification module for identifying the user agent data and obtaining brand data and model feature data of the mobile phone to be identified comprises:
identifying the user agent data based on a preset brand identification rule to acquire brand data of the mobile phone to be identified;
and identifying the user agent data based on a preset model identification rule to acquire model characteristic data of the mobile phone to be identified.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for mobile phone identification for network questionnaires of any of claims 1 to 5.
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Application publication date: 20210615 |