CN115408580B - Vehicle source model identification method and device - Google Patents
Vehicle source model identification method and device Download PDFInfo
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- CN115408580B CN115408580B CN202211068188.4A CN202211068188A CN115408580B CN 115408580 B CN115408580 B CN 115408580B CN 202211068188 A CN202211068188 A CN 202211068188A CN 115408580 B CN115408580 B CN 115408580B
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Abstract
The invention relates to the technical field of vehicle type recognition and discloses a method and a device for recognizing a vehicle source model. The method comprises the steps of obtaining vehicle type information and a license date of a vehicle source to be identified, determining a subordinate annual style group, a corresponding first annual style group classification model and a specific branch, automatically generating a plurality of questions and corresponding answers thereof based on configuration information of each branch recorded in the classification model and a segmentation method, combining the answers corresponding to each question, responding to answer information input by a user to each question, and positioning to a lower branch, so that the next question is generated until the annual style and model of the vehicle source to be identified are searched in the annual style group classification model. The invention is equipped with a picture recognition function, and can automatically position a picture under a certain branch of the annual money group, thereby playing a role in reducing the questions to be answered. The method can automatically identify the specific year and model of the vehicle type, has comprehensive coverage, does not need to rely on manual experience, and improves the identification accuracy of the vehicle source model.
Description
Technical Field
The invention relates to the technical field of model identification of vehicle models, in particular to a method and a device for identifying a vehicle source model.
Background
In order to meet the multiple demands of consumers, the automobile enterprise can push out different automobile types for automobiles, and can have different annual money under one automobile type, and different models are available under each annual money. The technology for identifying the vehicle model is mature, but the technology for identifying the annual money, particularly the model, under the vehicle model is a great challenge.
At present, two methods are mainly used for identifying the annual version and the model of the vehicle source. One is to identify by manual experience, but this method consumes manpower, relies on experience, and needs to manually remember typical configurations of hundreds of models to distinguish, and makes judgment for 5 tens of thousands of models in the market. This method of identification is very difficult to implement, and therefore, the number of identifiable vehicle sources is limited and not comprehensive. Another approach is to query by frame number. However, the information of the model and the annual money is not published outside each vehicle enterprise, so that the model can not be accurately identified by inquiring the frame number and decoding the power assembly at most, and the error rate of the method for identifying the model of the vehicle model is high.
Disclosure of Invention
The invention provides a vehicle source model identification method and device, which are used for solving the technical problems that in the prior art, the model can not be accurately identified only by identifying a power assembly at most by using an identification method with small coverage or inquiring a vehicle frame number, wherein the identification method consumes manpower only by using manual experience and relies on experience, and the identification method is high in error rate.
In order to solve the above technical problem, a first embodiment of the present invention provides a method for identifying a vehicle source model, including:
acquiring vehicle type information and a license plate date of a vehicle source to be identified, determining the sales time of the vehicle source to be identified, and determining a year group to which the vehicle source to be identified belongs according to the sales time;
according to the determined annual style group, inquiring a first annual style group classification model corresponding to the annual style group in a database;
determining a specific branch under the first year type group model in the first year type group model according to the vehicle type information of the vehicle source to be identified; the vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; a plurality of models sold in the same time period are recorded in each annual style component classification model, and each model in the same annual style component classification model is divided according to configuration information of each model to form a plurality of branches;
acquiring configuration information of each branch under a specific branch under the first year type group model and a segmentation method under the first year type group model, and automatically generating a plurality of questions and answers corresponding to the questions;
outputting a first question of the generated plurality of questions to a user, responding to answer information input by the user to the question, and determining the next branch of a specific branch of the first year group classification model by combining the answer corresponding to the question;
outputting a corresponding next question according to the next branch of the specific branch of the first annual style component classification model, and combining the answer of the user and the answer corresponding to the question until the annual style and model of the vehicle source to be identified are searched out in the first annual style component classification model;
if the vehicle source photo uploaded by the user is used for acquiring the vehicle type information of the vehicle source to be identified, the lowest level of the configuration corresponding to the picture identification is a specific branch under the first year type component class model; if the vehicle type information of the vehicle source to be identified is acquired through the vehicle frame number uploaded by the user, the lowest level of the configuration identified in the vehicle frame number information base is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is obtained through the vehicle type name uploaded by the user, the first branch under the first annual style group model is a specific branch of the first annual style group.
According to the invention, the first annual money group affiliated to the vehicle source to be identified can be accurately positioned through the brand-loading date and the vehicle type information of the vehicle source, and the corresponding first annual money group classification model and the specific branch under the model are found, so that the identification process of the vehicle source model is accelerated, and the accuracy of the vehicle source model identification is improved; according to the configuration information of each branch under the specific branch under the first annual style group classification model and the segmentation method under the first annual style group classification model, a plurality of questions and corresponding answers are automatically generated, the answers corresponding to the questions are combined, answer information input by a user on each question is responded, the next branch of the specific branch is positioned, and accordingly the next question is generated until the annual style and model of the vehicle source to be identified are searched in the annual style group classification model, and the identification accuracy of the vehicle source model is improved.
According to the invention, the selling time of the vehicle source to be identified can be determined according to the vehicle type information and the license plate loading date of the vehicle source to be identified, and the annual style group to which the vehicle source belongs can be determined according to the selling time, so that the corresponding annual style group model can be searched in the database, and various annual style group models stored in the database can enable the vehicle source model to be identified more comprehensively, and the accuracy of identifying the vehicle source model is improved. According to the invention, the vehicle type information can be obtained through different methods, the vehicle source to be identified can be positioned to one branch in the annual style classification model, wherein a certain branch under the model can be positioned through picture identification or frame number matching, and if the vehicle type information is obtained through the vehicle type name, the first branch of the annual style classification model can be positioned, so that the vehicle source model can be identified more conveniently by a user, and the vehicle source model identification efficiency is improved.
Further, the annual style component classification model is specifically formed by the following steps:
generating configuration information of each model according to the configuration of each model for a plurality of models in the same year money group classification model;
combining configuration information of each model to form each branch under the annual style component classification model until specific annual style and model in the annual style component classification model;
the configuration of each model comprises a power assembly and configuration characteristics, and the configuration information of each model comprises the configuration of each model and a segmentation method under the configuration.
As a second aspect of the first embodiment of the present invention, configuration information of each model is generated according to the configuration of each model, so that each branch under the adult model group model is formed up to a specific year and model in the year group model, and thus a plurality of year group models can be formed in the database to cover various vehicle models on the market, and the vehicle source model can be accurately and efficiently identified.
Further, according to the configuration information of each model, each branch under the annual style component classification model is formed until the specific annual style and model in the annual style component classification model are specifically:
in the configuration of each model, selecting the configuration with the maximum information gain ratio according to the information gain ratio in the decision tree, and recording a branch segmentation method under the configuration;
and forming each branch in the model to the specific year and model in the year group classification model according to the recorded branch segmentation method.
According to the invention, as the third aspect of the first embodiment of the invention, through the information gain ratio in the decision tree, in the configuration of each model, the configuration with the maximum information gain ratio is selected, and the branch segmentation method under the configuration is recorded, so that a complete annual model group classification model is formed, the model of each vehicle source is distinguished by using the minimum configuration, the user can conveniently and rapidly identify the model of the vehicle source, and the efficiency of identifying the model of the vehicle source is improved.
Further, the obtaining the vehicle type information and the license plate date of the vehicle source to be identified specifically includes:
performing picture identification on the vehicle source photo uploaded by the user to obtain the vehicle type information of the vehicle source to be identified;
or, matching the frame number uploaded by the user in a frame number information base to obtain the vehicle type information of the vehicle source to be identified;
or acquiring the vehicle type information of the vehicle source to be identified according to the vehicle type name uploaded by the user.
According to the invention, as the fourth aspect of the first embodiment of the invention, the vehicle type information of the vehicle source can be obtained through the vehicle source photo, the vehicle frame number or the vehicle type name, and the user can upload the vehicle information of the vehicle source in various modes, so that the user can conveniently identify the vehicle source type, and the efficiency of identifying the vehicle source type is improved.
Further, the information gain ratio is specifically:
wherein A represents a configuration, D represents a annual group consisting of a plurality of models, g R (D, A) represents the information gain ratio of A, H (D) represents entropy, and H (D|A) represents conditional entropy.
According to the method, the year group classification model and the specific branches of the vehicle source to be identified are automatically identified by acquiring the basic information of the brand date and the vehicle type information of the vehicle source to be identified, a plurality of questions and answers are generated according to the configuration information of each branch under the specific branches of the classification model, and the specific year and model of the vehicle source are automatically identified by combining the answer information of the user. Compared with the vehicle frame number identification, the method builds the annual style component classification model, and improves the accuracy of vehicle source model identification.
A second embodiment of the present invention provides a vehicle source model identification device, including: the system comprises a annual money group determining module, a classification model determining module, a branch determining module, a question generating module, an answer and answer matching module and a searching module;
the annual fee group determining module is used for acquiring the vehicle type information and the license plate loading date of the vehicle source to be identified, determining the sales time of the vehicle source to be identified, and determining the annual fee group to which the vehicle source to be identified belongs according to the sales time;
the classification model determining module is used for inquiring a first annual money group classification model corresponding to the annual money group in the database according to the determined annual money group;
the branch determining module is used for determining a specific branch under the first year type group model in the first year type group model according to the vehicle type information of the vehicle source to be identified; the vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; a plurality of models sold in the same time period are recorded in each annual style component classification model, and each model in the same annual style component classification model is divided according to configuration information of each model to form a plurality of branches;
the question generation module is used for acquiring configuration information of each branch under a specific branch under the first year money group classification model and a segmentation method under the first year money group classification model, and automatically generating a plurality of questions and answers corresponding to the questions;
the answer and answer matching module is used for outputting a first question in the generated plurality of questions to a user, responding to answer information input by the user to the questions, and determining the next branch of a specific branch of the first year group classification model by combining the answer corresponding to the questions;
the searching module is used for outputting a corresponding next question according to the next branch of the specific branch of the first annual style component classification model, and combining the answer of the user and the answer corresponding to the question until the annual style and model of the vehicle source to be identified are searched in the first annual style component classification model;
if the vehicle source photo uploaded by the user is used for acquiring the vehicle type information of the vehicle source to be identified, the lowest level of the configuration corresponding to the picture identification is a specific branch under the first year type component class model; if the vehicle type information of the vehicle source to be identified is acquired through the vehicle frame number uploaded by the user, the lowest level of the configuration identified in the vehicle frame number information base is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is obtained through the vehicle type name uploaded by the user, the first branch under the first annual style group model is a specific branch of the first annual style group.
Further, the annual style group determining module includes any one or more combinations of a picture identifying unit, a frame number matching unit and a vehicle model name unit, specifically:
the picture identification unit is used for carrying out picture identification on the vehicle source photo uploaded by the user and obtaining the vehicle type information of the vehicle source to be identified;
the frame number matching unit is used for matching the frame number uploaded by the user in a frame number information base to acquire the vehicle type information of the vehicle source to be identified;
the vehicle type name unit is used for acquiring the vehicle type information of the vehicle source to be identified according to the vehicle type name uploaded by the user.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a method for identifying a vehicle source model according to the present invention;
fig. 2 is a schematic flow chart of another embodiment of a method for identifying a vehicle source model according to the present invention;
fig. 3 is a schematic flow chart of another embodiment of a method for identifying a vehicle source model according to the present invention;
FIG. 4 is a schematic flow chart diagram illustrating one embodiment of establishing a year group classification model according to the present invention;
FIG. 5 is a schematic flow chart diagram of another embodiment of establishing a year group classification model according to the present invention;
fig. 6 is a schematic structural diagram of an embodiment of a vehicle source model identification device provided by the invention;
fig. 7 is a schematic structural diagram of another embodiment of a vehicle source model identification device provided by the present invention;
FIG. 8 is a schematic diagram of a year group provided by the present invention;
FIG. 9 is a schematic diagram of the results of the annual style component classification model provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In describing the present invention, it should be understood that the terms are used herein as follows:
"vehicle model": the vehicle enterprise gives names to vehicles of the same type, brand, body form, category or series.
"annual style": the vehicle enterprise carries out small-year refurbishment of detail upgrading and pushing out in order to keep the competitiveness of the product.
"configure": functions or facilities implemented on the basis of a certain combination of hardware and software provided in the automobile.
"model": the vehicle enterprise is the name of the combination of different configurations and power assemblies under the same vehicle model and annual money.
Example 1
Referring to fig. 1, a flow chart of an embodiment of a method for identifying a vehicle source model according to the present invention includes steps 101 to 104, where the steps are specifically as follows:
step 101: and acquiring the vehicle type information and the license plate date of the vehicle source to be identified, and determining a year group to which the vehicle source to be identified belongs, a first year group classification model corresponding to the year group and a specific branch under the first year group classification model.
In the first embodiment of the present invention, each annual fee has a corresponding sales time, and the sales times of two or three adjacent annual fee are sometimes overlapped, so that an annual fee group is formed if the sales times are overlapped. One annual money can appear in a plurality of annual money groups, but due to different sales time of the vehicle sources to be identified, the unique annual money group to which the vehicle sources to be identified belong can be positioned according to the card-up time. As shown in fig. 8, the sales times of the year 1 and 2 overlap, and the sales times of the year 2 and 3 overlap, so that the three year groups are divided into two year groups, the first year group including the year 1 and the year 2, and the second year group including the year 2 and the year 3.
In the first embodiment of the present invention, as shown in fig. 2, step 101 includes step 201, step 202 and step 203, specifically as follows:
step 201: and determining the sales time of the vehicle source to be identified according to the vehicle type information and the license plate date of the vehicle source to be identified, and determining the annual fee group to which the vehicle source to be identified belongs according to the sales time.
Step 202: and according to the determined annual style group, inquiring a first annual style group classification model corresponding to the annual style group in a database.
Step 203: and determining a specific branch under the first year type group model in the first year type group model according to the vehicle type information of the vehicle source to be identified.
The vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; the annual style component classification models record a plurality of models sold in the same time period, and each model in the annual style component classification model is divided according to configuration information of each model to form a plurality of branches.
In the first embodiment of the present invention, the annual style component classification model stored in the database is required to be used for identifying the vehicle source model, and as shown in fig. 4, a specific forming process of the annual style component classification model includes steps 401 to 403, specifically:
step 401: and generating configuration information of each model according to the configuration of each model for a plurality of models in the same year money group classification model.
As an example of this example, for convenience of user operation, easily observable configurations are extracted such as: the skylight, the gearbox type (manual/automatic), the double-temperature-zone air conditioner, the electric trunk and the like form configuration information, and are used as the basis for branching and forming the annual style component classification model to establish a complete classification model.
Step 402: and forming branches under the annual style component classification model to specific annual style and model in the annual style component classification model according to the configuration information of each model.
The configuration of each model comprises a power assembly and configuration characteristics, and the configuration information of each model comprises the configuration of the model and a segmentation method of each branch under the configuration.
In a first embodiment of the present invention, as shown in fig. 5, step 402 includes step 501 and step 502, which are specifically as follows:
step 501: in the configuration of each model, selecting the configuration with the maximum information gain ratio according to the information gain ratio in the decision tree, and recording the branch segmentation method under the configuration, wherein the method specifically comprises the following steps:
each configuration in the model configuration is traversed automatically, and the configuration with the maximum information gain ratio is selected; cycling through the configuration step until the models are completely separated; and recording a branch segmentation method under the configuration according to the configuration selected each time.
In a first embodiment of the present invention, the information gain ratio formula is selected as follows
Wherein A represents a configuration, D represents a annual group consisting of a plurality of models, g R (D, A) represents the information gain ratio of A, H (D) represents entropy, and H (D|A) represents conditional entropy.
As an example of this embodiment, among the numerous configurations of each model, the information gain ratio is selected to select as few configurations as possible to completely distinguish all models within a model group, but many supervised and explanatory classification algorithms, such as some algorithms in decision trees, SVMs, etc., can achieve this goal.
Step 502: and forming each branch of the model according to the recorded branch segmentation method until the year is specific to the year and model in the year group classification model.
As an example of the present embodiment, an annual style classification model is shown in fig. 9. According to the vehicle type information of the vehicle source to be identified and the card loading date, a specific annual style component classification model and a specific branch can be positioned, the branches in the model are firstly classified according to the type of the gearbox, then are divided into an automatic branch and a manual branch, the automatic branch and the manual branch are continuously classified according to the type of the vehicle body or the displacement of the engine to form a subsequent branch, after the power series branch is positioned, the power series branch can be continuously classified according to the configuration information of each model, whether key start exists or not is selected, and whether key enter is combined with the two configuration information to form the branch until the specific annual style and model, and the annual style component classification model is fully supplemented.
In the first embodiment of the present invention, the vehicle type information of the vehicle source may be obtained in a plurality of ways, as shown in fig. 3, if the user uploads the vehicle source photograph, step 301 is performed, and the image recognition is performed on the vehicle source photograph uploaded by the user, so as to obtain the vehicle type information of the vehicle source to be recognized; if the user uploads the frame number, step 302 is performed, the frame number uploaded by the user is matched in a frame number information base, and the vehicle type information of the vehicle source to be identified is obtained; if the user uploads the vehicle model name, step 303 is performed, and the vehicle model information of the vehicle source to be identified is obtained according to the vehicle model name uploaded by the user.
If the user uploads the car source photo or the car frame number, car type information of the car source can be automatically identified through a picture identification model or a car frame number information base. If the vehicle source photo or the vehicle frame number is not uploaded, the user is required to manually input the vehicle model name to acquire the vehicle model information of the vehicle source.
In the first embodiment of the invention, if the vehicle type information of the vehicle source to be identified is obtained through the vehicle source photo uploaded by the user, the lowest level of the configuration corresponding to the picture identification is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is acquired through the vehicle frame number uploaded by the user, the lowest level of the configuration identified in the vehicle frame number information base is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is determined through the vehicle type name uploaded by the user, the first branch under the first annual style group model is a specific branch of the first annual style group.
Step 102: and acquiring configuration information of each branch under a specific branch under the first year type group classification model and a segmentation method under the first year type group classification model, and automatically generating a plurality of questions and answers corresponding to the questions.
In the first embodiment of the present invention, the classification model of each annual group is fixed in the database, so the arrangement information and the division method of each branch under the classification model of the annual group are also fixed. Because the vehicle information uploaded by the user can be positioned to the power assembly branch at most, specific year and model are identified, the problem output to the user is required to be formed according to the configuration information of each lower branch in the positioned branches, and an answer is formed according to a corresponding segmentation method, so that the subsequent identification process is completed.
Step 103: outputting the first question of the generated plurality of questions to a user, responding to answer information input by the user to the questions, and determining the next branch of the specific branch of the first year group classification model by combining the answer corresponding to the questions.
Step 104: outputting a corresponding next question according to the next branch of the specific branch of the first year money group classification model, and combining the answer of the user and the answer corresponding to the question until the year money and the model of the vehicle source to be identified are searched in the first year money group classification model.
In the first embodiment of the present invention, after the user inputs the vehicle information, the system can only recognize the powertrain branches at most, so the system needs to output the questions generated according to the configuration, after the user answers the first question, the system can locate the next branch in combination with the answer of the user and the answer of the questions, thereby forming the next question, until the specific year and model branches are determined, and the model of the vehicle source is output to the user.
In conclusion, the invention can accurately position the annual money group affiliated to the vehicle source to be identified and the classification model thereof and position the specific branch according to the vehicle type information and the license date of the vehicle source to be identified, thereby accelerating the identification process of the vehicle source model and improving the accuracy of the vehicle source model identification; based on the configuration information of each branch recorded in the classification model and the segmentation method, a plurality of questions and corresponding answers thereof are automatically generated, the answers corresponding to the questions are combined, the answer information input by a user to each question is responded, and the next question is positioned to the lower branch, so that the next question is generated until the annual style and model of the vehicle source to be identified are searched out in the annual style component classification model, the specific annual style and model of the vehicle source are identified with the least questions, the specific annual style and model of the vehicle source which is comprehensively and accurately positioned to the vehicle source is realized, and the identification accuracy of the vehicle source model is improved.
Example 2
As shown in fig. 6, a schematic structural diagram of an embodiment of a device for identifying a vehicle source model according to the present invention includes a year group determining module 601, a question generating module 602, an answer and answer matching module 603, and a searching module 604, specifically:
the annual style group determining module 601 is configured to obtain vehicle type information and a license date of a vehicle source to be identified, and determine an annual style group to which the vehicle source to be identified belongs, a first annual style group classification model corresponding to the annual style group, and a specific branch under the first annual style group classification model;
the question generation module 602 is configured to obtain configuration information of each branch under a specific branch under the first year type group model and a segmentation method under the first year type group model, and automatically generate a plurality of questions and answers corresponding to the questions;
the answer and answer matching module 603 is configured to output a first question of the generated plurality of questions to a user, respond to answer information input by the user to the question, and determine a next branch of a specific branch of the first year group classification model in combination with an answer corresponding to the question;
the searching module 604 is configured to output a corresponding next question according to a next branch of the specific branch of the first annual style component classification model, and combine the answer of the user and the answer corresponding to the question until the annual style and the model of the vehicle source to be identified are searched out in the first annual style component classification model.
In a second embodiment of the present invention, the device for identifying a model of a vehicle source includes a year group determination module, a question generation module, an answer and answer matching module, and a search module, which are based on an organic combination between the modules, to efficiently and accurately identify a year and a model of a vehicle source.
As shown in fig. 7, which is a schematic structural diagram of another embodiment of the apparatus for identifying a vehicle source model, the annual fee group determining module includes an annual fee group determining unit 701, a classification model determining unit 702, and a branch determining unit 703, specifically:
the annual fee group determining unit 701 is configured to determine a sales time of a vehicle source to be identified according to vehicle type information and a license date of the vehicle source to be identified, and determine an annual fee group to which the vehicle source to be identified belongs according to the sales time;
the classification model determining unit 702 is configured to query a database for a first annual style component classification model corresponding to the annual style group according to the determined annual style group;
the branch determining unit 703 is configured to determine, in the first year type group model, a specific branch under the first year type group model according to the vehicle type information of the vehicle source to be identified;
the vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; multiple vehicle sources sold in the same time period are recorded in each annual style component classification model, and each model in the same annual style component classification model is divided according to configuration information of each model to form multiple branches.
In a second embodiment of the present invention, the annual style group determining module includes any one or more combinations of a picture identifying unit, a frame number matching unit, and a vehicle model name unit, specifically:
the picture identification unit is used for carrying out picture identification on the vehicle source photo uploaded by the user and obtaining the vehicle type information of the vehicle source to be identified;
the frame number matching unit is used for matching the frame number uploaded by the user in a frame number information base to acquire the vehicle type information of the vehicle source to be identified;
the vehicle type name unit is used for acquiring the vehicle type information of the vehicle source to be identified according to the vehicle type name uploaded by the user.
In summary, the invention constructs a device for identifying the model of the vehicle source, and based on the organic combination among the modules, the device can realize the comprehensive and accurate coverage of specific year and model of the vehicle source, and realize the efficient and accurate identification of the year and model of the vehicle source.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present invention, and these modifications and substitutions should also be considered as being within the scope of the present invention.
Claims (7)
1. The method for identifying the vehicle source model is characterized by comprising the following steps of:
acquiring vehicle type information and a license plate date of a vehicle source to be identified, determining the sales time of the vehicle source to be identified, and determining a year group to which the vehicle source to be identified belongs according to the sales time;
according to the determined annual style group, inquiring a first annual style group classification model corresponding to the annual style group in a database;
determining a specific branch under the first year type group model in the first year type group model according to the vehicle type information of the vehicle source to be identified; the vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; a plurality of models sold in the same time period are recorded in each annual style component classification model, and each model in the same annual style component classification model is divided according to configuration information of each model to form a plurality of branches;
acquiring configuration information of each branch under a specific branch under the first year type group model and a segmentation method under the first year type group model, and automatically generating a plurality of questions and answers corresponding to the questions;
outputting a first question in the plurality of questions to a user, responding to answer information input by the user to the question, and determining the next branch of a specific branch of the first year group classification model by combining the answer corresponding to the question;
outputting a corresponding next question according to the next branch of the specific branch of the first annual style component classification model, and combining the answer of the user and the answer corresponding to the question until the annual style and model of the vehicle source to be identified are searched out in the first annual style component classification model;
if the vehicle source photo uploaded by the user is used for acquiring the vehicle type information of the vehicle source to be identified, the lowest level of the configuration corresponding to the picture identification is a specific branch under the first year type component class model; if the vehicle type information of the vehicle source to be identified is acquired through the vehicle frame number uploaded by the user, the lowest level of the configuration identified in the vehicle frame number information base is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is obtained through the vehicle type name uploaded by the user, the first branch under the first annual style group model is a specific branch of the first annual style group.
2. The method for identifying a vehicle source model according to claim 1, wherein the annual style component classification model is formed by the following specific steps:
generating configuration information of each model according to the configuration of each model for a plurality of models in the same year money group classification model;
forming branches under the annual style component classification model to specific annual style and model in the annual style component classification model according to the configuration information of each model;
the configuration of each model comprises a power assembly and configuration characteristics, and the configuration information of each model comprises the configuration of each model and a segmentation method under the configuration.
3. The method for identifying a vehicle source model according to claim 2, wherein the forming each branch in the annual style component classification model according to the configuration information of each model up to a specific annual style and model in the annual style component classification model is specifically as follows:
in the configuration of each model, selecting the configuration with the maximum information gain ratio according to the information gain ratio in the decision tree, and recording a branch segmentation method under the configuration;
and forming each branch of the model according to the recorded branch segmentation method until the year is specific to the year and model in the year group classification model.
4. The method for identifying a vehicle source model according to claim 1, wherein the obtaining the vehicle type information and the license date of the vehicle source to be identified specifically includes:
performing picture identification on the vehicle source photo uploaded by the user to obtain the vehicle type information of the vehicle source to be identified;
or, matching the frame number uploaded by the user in a frame number information base to obtain the vehicle type information of the vehicle source to be identified;
or acquiring the vehicle type information of the vehicle source to be identified according to the vehicle type name uploaded by the user.
5. The method for identifying a vehicle source model according to claim 3, wherein the information gain ratio is specifically:
wherein A represents a configuration, D represents a annual group consisting of a plurality of models, g R (D, A) represents the information gain ratio of A, H (D) represents entropy, and H (D|A) represents conditional entropy.
6. A vehicle source model identification device, characterized by comprising: the system comprises a annual money group determining module, a classification model determining module, a branch determining module, a question generating module, an answer and answer matching module and a searching module;
the annual fee group determining module is used for acquiring the vehicle type information and the license plate loading date of the vehicle source to be identified, determining the sales time of the vehicle source to be identified, and determining the annual fee group to which the vehicle source to be identified belongs according to the sales time;
the classification model determining module is used for inquiring a first annual money group classification model corresponding to the annual money group in the database according to the determined annual money group;
the branch determining module is used for determining a specific branch under the first year type group model in the first year type group model according to the vehicle type information of the vehicle source to be identified; the vehicle type information comprises a vehicle type and partial configuration; the database stores a plurality of annual style component classification models; a plurality of models sold in the same time period are recorded in each annual style component classification model, and each model in the same annual style component classification model is divided according to configuration information of each model to form a plurality of branches;
the question generation module is used for acquiring configuration information of each branch under a specific branch under the first year money group classification model and a segmentation method under the first year money group classification model, and automatically generating a plurality of questions and answers corresponding to the questions;
the answer and answer matching module is used for outputting a first question in the generated plurality of questions to a user, responding to answer information input by the user to the questions, and determining the next branch of a specific branch of the first year group classification model by combining the answer corresponding to the questions;
the searching module is used for outputting a corresponding next question according to the next branch of the specific branch of the first annual style component classification model, and combining the answer of the user and the answer corresponding to the question until the annual style and model of the vehicle source to be identified are searched in the first annual style component classification model;
if the vehicle source photo uploaded by the user is used for acquiring the vehicle type information of the vehicle source to be identified, the lowest level of the configuration corresponding to the picture identification is a specific branch under the first year type component class model; if the vehicle type information of the vehicle source to be identified is acquired through the vehicle frame number uploaded by the user, the lowest level of the configuration identified in the vehicle frame number information base is a specific branch under the first year type component classification model; if the vehicle type information of the vehicle source to be identified is obtained through the vehicle type name uploaded by the user, the first branch under the first annual style group model is a specific branch of the first annual style group.
7. The vehicle source model identification device according to claim 6, wherein the annual style group determination module comprises any one or more of a combination of a picture identification unit, a frame number matching unit and a vehicle model name unit, specifically:
the picture identification unit is used for carrying out picture identification on the vehicle source photo uploaded by the user and obtaining the vehicle type information of the vehicle source to be identified;
the frame number matching unit is used for matching the frame number uploaded by the user in a frame number information base to acquire the vehicle type information of the vehicle source to be identified;
the vehicle type name unit is used for acquiring the vehicle type information of the vehicle source to be identified according to the vehicle type name uploaded by the user.
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