CN113849695A - Method and system for intelligently retrieving vehicle type based on vehicle set - Google Patents

Method and system for intelligently retrieving vehicle type based on vehicle set Download PDF

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CN113849695A
CN113849695A CN202110524992.8A CN202110524992A CN113849695A CN 113849695 A CN113849695 A CN 113849695A CN 202110524992 A CN202110524992 A CN 202110524992A CN 113849695 A CN113849695 A CN 113849695A
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vehicle
directory
brand
manufacturer
car
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CN113849695B (en
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许明勇
张军
许瑞顺
曹玉蓉
朱锋
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Nanjing Aifu Road Automobile Technology Co ltd
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Nanjing Aifu Road Automobile Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9017Indexing; Data structures therefor; Storage structures using directory or table look-up
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9032Query formulation
    • G06F16/90324Query formulation using system suggestions
    • G06F16/90328Query formulation using system suggestions using search space presentation or visualization, e.g. category or range presentation and selection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results

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Abstract

The invention discloses a method and a system for intelligently retrieving vehicle types based on vehicle groups, which belong to the technical field of information retrieval, and comprise a vehicle type database, a search frame module and a selection frame module, wherein the vehicle type database comprises a plurality of vehicle types, the plurality of vehicle types are classified through brands, manufacturers, vehicle systems and discharge volumes, the vehicle systems are classified through the vehicle groups, the vehicle groups comprise vehicle chassis numbers, vehicle algebra and production years, the vehicle types with the same vehicle chassis numbers and vehicle algebra are divided into the same vehicle group and display the minimum production year and the maximum production year of the vehicle group, the selection frame module is used for displaying catalogs of the vehicle type database for users to select and screen the plurality of vehicle types in the vehicle type database, and the search frame module is used for users to input keywords and match the keywords to the vehicle type database. The invention simplifies the vehicle type selection method, meets the requirement of multi-level operation, can achieve quick and accurate selection by inputting a plurality of keywords, reduces the operation time of the user and improves the selection efficiency of the user.

Description

Method and system for intelligently retrieving vehicle type based on vehicle set
Technical Field
The invention belongs to the technical field of information retrieval, and particularly relates to a method and a system for intelligently retrieving a vehicle type based on a vehicle set.
Background
Along with the rapid development of the automobile industry in China for over 20 years, hundreds of automobile brands are produced and sold in China, and the number of detailed automobile models reaches more than 20 thousands. In the whole life cycle from vehicle sale to scrapping, an accessory production enterprise, an accessory dealer, a maintenance factory, a vehicle owner and the like all need a system and a method capable of quickly and conveniently inquiring the vehicle type of the vehicle. The existing vehicle type query system and the query mode are selected mainly according to the brand, the manufacturer, the vehicle series, the annual fee and the displacement grade. There are problems in that:
the selection steps are complex and low in efficiency, forward step-by-step selection is only supported, intermediate level starting selection is not supported, and a client can find the corresponding vehicle type range only by selecting layer by layer;
when an unfamiliar vehicle is encountered, multi-level repeated selection searching is needed;
there is no way to distinguish between hot and cold door vehicles.
Disclosure of Invention
The technical problem is as follows: aiming at the problems in the prior art, the invention aims to provide the method and the system for intelligently retrieving the vehicle type based on the vehicle set, which simplify the steps of searching the vehicle type by the user, meet the requirement of multi-level operation of the user without searching from the initial level of the system, save time and improve efficiency.
The technical scheme is as follows: in order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the utility model provides a based on group of cars intelligence retrieval motorcycle type system, includes motorcycle type database, search frame module and selection frame module, the motorcycle type database includes a plurality of motorcycle type, a plurality of motorcycle type is classified through brand, manufacturer, car system, discharge capacity, the car system is classified through the group of cars, the group of cars includes car chassis number, car algebra and year of production, the same motorcycle type of car chassis number and car algebra divides into same group of cars and shows minimum year of production and the maximum year of production of this group of cars, the selection frame module is used for showing the catalogue of motorcycle type database is supplied the user to select and screens a plurality of motorcycle type database, search frame module is used for the user to input the keyword and with the keyword matches to the motorcycle type database.
Further, the selection frame module comprises a first selection frame module, a second selection frame module, a third selection frame module and a fourth selection frame module, the first selection frame module is used for displaying the brand directory of the brand and providing for selection of a user, the second selection frame module is used for displaying the manufacturer directory of the manufacturer and providing for selection of the user, the third selection frame module is used for displaying the train directory of the train and providing for selection of the user, and the fourth selection frame module is used for displaying the train set directory of the train set and providing for selection of the user.
Further, the manufacturer directory is a subdirectory of a brand directory, the car system directory is a subdirectory of a manufacturer directory, and the consist directory is a subdirectory of a car system directory.
Further, the selection frame module further comprises a fifth selection frame module, the fifth selection frame module is used for displaying the displacement catalog of the displacement and providing the displacement catalog for a user to select, and the displacement catalog is a subdirectory of the train set catalog.
Further, when one of the brand directory, the manufacturer directory, the train consist directory or the displacement directory is displayed, all directories and adjacent subdirectories at the upper level are displayed simultaneously.
Furthermore, the brand directory is ordered according to a preset brand pinyin first letter rule, and the brand pinyin first letter rule is an ascending brand pinyin first letter order.
The vehicle type sorting system further comprises a display frame module, wherein the display frame module is used for displaying a plurality of vehicle types in the vehicle type database after being screened by the selection frame module, and the plurality of vehicle types displayed by the display frame module are sorted in a descending order according to vehicle type holding quantity.
The invention also provides a method for intelligently retrieving the vehicle type based on the vehicle set, which comprises the following steps:
step 1: acquiring a keyword input by a user;
step 2: classifying a plurality of vehicle types in a vehicle type database layer by layer according to brands, manufacturers, vehicle systems, vehicle groups and discharge capacities to form a five-level directory which is a brand directory, a manufacturer directory, a vehicle system directory, a vehicle group directory and a discharge capacity directory of a previous-level subdirectory in the next level, matching the keywords in the step 1 with the fields of the brands, the manufacturers, the vehicle systems, the vehicle groups and the discharge capacities in the vehicle type database, and selecting layer by layer:
step 2.1: when the keyword is a word segment and a brand is matched, displaying a brand directory and a manufacturer directory, marking out the brand related to the keyword, selecting the manufacturer directory of the next level by a user, and selecting the manufacturer directory layer by layer until the discharge amount is selected;
step 2.2: when the keyword is a word segment matched with a manufacturer, displaying a brand directory, a manufacturer directory and a vehicle system directory, marking out the brand and the manufacturer related to the keyword, selecting the vehicle system directory of the next level by a user, and selecting the vehicle system directory layer by layer until selecting a displacement directory;
step 2.3: when the key words are word segments and are matched with the car department, displaying a brand directory, a manufacturer directory, a car department directory and a car group directory, and marking out the brand, the manufacturer and the car department related to the key words, wherein the next-level car group directory is selected by a user and is selected layer by layer until the discharge capacity directory is selected;
step 2.4: when the key words are word segments matched with the car groups, displaying a brand directory, a manufacturer directory, a car system directory, a car group directory and a discharge capacity directory, marking out the brands, the manufacturers, the car systems and the car groups related to the key words, and enabling the discharge capacity directory of the next stage to be selected by a user;
step 2.5: when the key words are multiple word segments, the key words in the multiple word segments are split and then are respectively matched, and the weight values of the hit fields of the key words are in the following order: the number of the vehicles is greater than the displacement and the number of the vehicles is greater than the number of the manufacturers, then a result with the largest weight value in the appointed brands, the manufacturers, the vehicles or the displacement is displayed, a directory corresponding to the result is displayed, a plurality of upper-level directories and lower-level subdirectories of the directory corresponding to the result are displayed simultaneously, the lower-level subdirectories are selected by a user, and the lower-level subdirectories are selected layer by layer until the displacement directory is selected;
and step 3: and (3) displaying the screening results in the vehicle type database in a display frame module according to the selection of the customer in the step (2), and arranging the screening results in a descending order according to the numerical value of the vehicle type holding quantity.
Further, in step 2, the vehicle groups are classified according to the vehicle groups under the same vehicle system of the same brand and the same manufacturer, the vehicle groups comprise data of vehicle chassis numbers, vehicle algebra and production years, vehicle types with the same vehicle chassis numbers and vehicle algebra are divided into the same vehicle group, the minimum production year and the maximum production year of the vehicle group are displayed, and when the keyword is matched with any field of the vehicle chassis numbers, the vehicle algebra and the production years of the vehicle group, the vehicle group catalog is directly displayed and the corresponding vehicle group is marked.
Furthermore, in the step 3, only after the user enters the hierarchical selection of the vehicle group catalog, the screening result in the vehicle type database is displayed in the display frame module.
Has the advantages that: compared with the prior art, the invention has the following advantages: (1) by adding the vehicle group classification field, the vehicle type selection method is simplified, and the selection times of a user are reduced; (2) the method meets the requirement of multi-level operation, can achieve quick and accurate selection for a user with a familiar vehicle type by inputting a plurality of keywords, reduces the operation time of the user and improves the selection efficiency of the user; (3) the method helps the user to distinguish cold door models from hot door models.
Drawings
FIG. 1 is a system interface display diagram according to an embodiment of the present invention;
FIG. 2 is an exemplary illustration of a vehicle consist in an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method in an embodiment of the invention.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and specific examples, which are carried out on the premise of the technical solution of the present invention, and it should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, an intelligent vehicle model retrieval system based on a vehicle group comprises a vehicle model database (running in the background), a search frame module (i.e. a vehicle type information frame in the figure), and a selection frame module (i.e. a plurality of vertical frames below the vehicle type information frame in the figure), wherein the vehicle model database comprises a plurality of existing vehicle models, each existing vehicle model database comprises more than twenty thousand total vehicle models, each detailed vehicle model can be defined with a code called mid, the vehicle models in the prior art are generally classified according to fields such as brands, manufacturers, vehicle systems and displacements, different vehicle models are classified according to vehicle brands, the same manufacturer classifies according to manufacturers, the same manufacturer classifies according to vehicle systems (for example: ford (brand) → long safety ford (manufacturer) → fox (vehicle system)), and the vehicle systems have several to hundreds of detailed vehicle models due to differences of displacements, chassis numbers and production years, for example, the number of mid of detailed vehicle types conforming to "fox-sedan" after the vehicle type is "fox" in the vehicle type database and "sedan" is selected according to the chassis number is 173, and according to the existing common vehicle type selection method, there are 62 combinations of vehicle type + year of production + displacement + chassis number, the system sets the classification condition of "vehicle group" under the vehicle system, the vehicle group includes vehicle chassis number, vehicle generation number and year of production, the year of production includes from the minimum year of production to the maximum year of production, the vehicle types with the same vehicle chassis number and vehicle generation number are divided into the same vehicle group and the minimum year of production and the maximum year of production of the vehicle group are displayed, and by setting the vehicle group, the above 62 combinations of vehicle type + year of production + displacement + chassis number can be divided into 3 vehicle groups (as shown in fig. 2, dividing into three vehicle groups such as 'Focus three cars (C3072005-2012)' and corresponding displacement under each vehicle group, for the whole 'Focus' train system, the number and difficulty of user selections are greatly simplified after dividing into the vehicle groups, as shown in FIG. 1, the 'Focus-three cars (C3072005-2012)', 'Focus-three cars (C3462012-2018)', 'Focus-three cars (C5192018-2021)', 'Focus-two cars (C3072006-2012)', 'Focus-two cars (C4672012-2020) ",' Focus-two cars (C5192018-2021)", 'Focus Active (C5192019-2021)' 7 vehicle groups are arranged under Forcus → each vehicle group should have four vehicle groups selected once by the user according to four vehicle groups, namely '1.0T, 1.5T, 1.6, 2.0', and then selecting four vehicle groups once, a very small vehicle type range can be obtained, and a user can directly select a specific vehicle type to be found in the very small vehicle type range.
The search frame module is used for inputting keywords by a user and matching the keywords with fields of a vehicle model database, the selection frame module is used for displaying a list of fields such as brands, manufacturers, vehicle systems, vehicle groups and displacement in the vehicle model database and enabling the lists to be selected by the customer, the selection frame module comprises a first selection frame module, a second selection frame module, a third selection frame module, a fourth selection frame module and a fifth selection frame module, the first selection frame module is used for displaying a list of brands and enabling the user to select the brands (the leftmost selection frame in the figure 1), the second selection frame module is used for displaying a list of manufacturers and enabling the user to select the manufacturers (the second selection frame on the left side in the figure 1), the third selection frame module is used for displaying a list of vehicle systems and enabling the user to select the vehicle groups (the third selection frame on the left side in the figure 1), the fourth selection frame module is used for displaying a list of vehicle groups and enabling the user to select the vehicle groups (the fourth selection frame on the left side in the figure 1), the fifth selection frame module is used for displaying a displacement directory of displacement and allowing a user to select (the rightmost selection frame in fig. 1), field brands, manufacturers, vehicle systems, vehicle groups and displacement in the vehicle type database are classified hierarchically (database background classification), a hierarchical structure that a next-level directory is a last-level subdirectory is formed, the manufacturers directory is a subdirectory of the brands, the vehicles directory is a subdirectory of the manufacturers directory, the vehicle groups directory is a subdirectory of the vehicles directory, and the displacement directory is a subdirectory of the vehicle groups directory. When the search box module keyword is matched with a field in the vehicle model database, when one of the brand directory, the manufacturer directory, the train set directory or the displacement directory is displayed, all the directories and adjacent subdirectories at the upper level are displayed simultaneously, for example: searching a keyword of 'Ford', wherein the first selection frame module displays a brand directory, and the second selection frame module displays a manufacturer order; searching a keyword of Changan Ford, wherein a first selection frame module displays a brand directory, a second selection frame module displays a manufacturer directory, and a third selection frame module displays a vehicle family directory; the method comprises the steps of searching a keyword of Fox, displaying a brand directory by a first selection frame module, displaying a manufacturer directory by a second selection frame module, displaying a vehicle series directory by a third selection frame module, and displaying a vehicle group directory by a fourth selection frame module, so that a user can select from a middle layer according to the input keyword, and the vehicle type to be searched is refined to a range with a small number.
The brand directory is sorted according to a preset brand pinyin first rule, and the brand pinyin first rule is sorted in an ascending order of the brand pinyin first letters.
The system also comprises a display frame module (the display frame module can be arranged below the same page of the search frame module), the display frame module is used for displaying a plurality of vehicle types in a vehicle type database after being screened by the selection frame module, the plurality of vehicle types displayed by the display frame module are sorted in a descending order according to the reserved quantity of the vehicle types, the vehicle types with larger reserved quantity are arranged at the positions closer to the front, page display can be carried out when all vehicle types can not be displayed on one page of the interface, the display frame module can enter a working state → namely displays the screened vehicle types after the vehicle group catalog of the fourth selection frame module is selected by a user, so that the number of the vehicle types displayed on the page is less, a customer can directly select the desired vehicle type in the display frame module, the displacement can be continuously selected through the displacement catalog of the fifth selection frame module when the number of the vehicle types is still larger, the vehicle type information of the display frame module is refreshed, the number of vehicle types after displacement screening in the display frame module is small, the range is more accurate, and a user selects a desired vehicle type in the display frame module; the display frame module can also enter a working state when any one of the first selection frame module, the second selection frame module or the third selection frame module is selected by a user to be in a directory, the number of vehicle types displayed by the display frame module is large at the moment, vehicle type information in the display frame module is refreshed and screened along with the click selection of the user on a next-level subdirectory in the selection frame module, the number of the screened vehicle types is continuously reduced, the range is smaller and smaller, and the user can conveniently select the desired vehicle type.
As shown in fig. 1 and fig. 3, an example of a method for intelligently retrieving a vehicle type based on a vehicle group in an embodiment of the present invention is a method for searching a certain vehicle type of Changford Focus in a system of the present invention, which includes the following steps:
step 1: keywords entered by a user in a search box; (entering keywords in the vehicle type information frame in FIG. 1)
Step 2: classifying a plurality of vehicle types in a vehicle type database layer by layer (background classification of the database) according to brands, manufacturers, vehicle systems, vehicle groups and discharge capacities to form a brand directory, a manufacturer directory, a vehicle system directory, a vehicle group directory and a discharge capacity directory, wherein the next layer is a top-level subdirectory, and the keywords in the step 1 are matched with fields of the brands, the manufacturers, the vehicle systems, the vehicle groups and the discharge capacities in the vehicle type database and are selected layer by layer:
step 2.1: when the keyword is a word segment and a brand is matched, displaying a brand directory and a manufacturer directory, marking out the brand related to the keyword, selecting the manufacturer directory of the next level by a user, and selecting the manufacturer directory layer by layer until the discharge amount is selected; (enter keyword "Ford", first choice box module displays brand catalog in which "Ford" brand is marked out, second choice box module displays "Jiangling Ford", "import Ford" and "Changan Ford" three manufacturers' catalog for customer selection)
Step 2.2: when the keyword is a word segment matched with a manufacturer, displaying a brand directory, a manufacturer directory and a vehicle system directory, marking out the brand and the manufacturer related to the keyword, selecting the vehicle system directory of the next level by a user, and selecting the vehicle system directory layer by layer until selecting a displacement directory; (inputting a keyword 'Changan Ford', a first selection frame module displaying a brand list in which 'Ford' brand is marked, a second selection frame module displaying a manufacturer list in which 'Changan Ford' is marked, a third selection frame module displaying 'Carnival', adventure 'Focus', etc. a plurality of vehicle series records for customer selection)
Step 2.3: when the key words are word segments and are matched with the car department, displaying a brand directory, a manufacturer directory, a car department directory and a car group directory, and marking out the brand, the manufacturer and the car department related to the key words, wherein the next-level car group directory is selected by a user and is selected layer by layer until the discharge capacity directory is selected; (enter keyword "Fox", first selection box module displays brand directory in which "Ford" brand is marked out, second selection box module displays manufacturer directory in which "Changan Ford" is marked out, third selection box module displays multiple car family directory in which "Fox" is marked out, fourth selection box module displays car group directory for user selection)
Step 2.4: when the key words are word segments matched with the car groups, displaying a brand directory, a manufacturer directory, a car system directory, a car group directory and a discharge capacity directory, marking out the brands, the manufacturers, the car systems and the car groups related to the key words, and enabling the discharge capacity directory of the next stage to be selected by a user; the brand, manufacturer and vehicle series are the existing classification mode, under the same vehicle series under the same brand and the same manufacturer, the vehicle groups are classified according to the vehicle groups, the vehicle groups comprise data of a vehicle chassis number, a vehicle algebra and a production year, the production year comprises data from a minimum production year to a maximum production year, the vehicle types with the same vehicle chassis number and the same vehicle algebra are divided into the same vehicle group and display the minimum production year and the maximum production year of the vehicle group, when a key word is matched with any field of the vehicle chassis number, the vehicle algebra and the production year of the vehicle group, the vehicle group catalog is directly displayed and the corresponding vehicle group is marked (the key word is input to be Focus-three-compartment or Focus-C346 or Focus-three-compartment-2016 or Focus-2016, a first selection box module displays the brand catalog in which the brand of Focus brand is marked out, a second selection box module displays the manufacturer catalog in which the brand of Changan Ford is marked out, the third checkbox module displays a plurality of department directories in which "Focus" is indicated, the fourth checkbox module displays a plurality of consist directories in which a consist associated with the input keyword is indicated, and when a plurality of consists are simultaneously associated, a plurality of consists are simultaneously indicated, for example, "Fox-2016" is input, and then two consist satisfying the condition, "Fox-three (C3462012-2018)" and "Fox-two (C4672012-2020)" in FIG. 1 are simultaneously indicated.
Step 2.5: when the key word is a multi-word segment, the multi-word segment key words are split and then are respectively matched, the matching process is the same as that of the word segments from the step 2.1 to the step 2.4, and the weight value sequence of the key word hitting the field is as follows: the number of the vehicles is greater than the displacement and the number of the vehicles is greater than the number of the manufacturers, then a result with the largest weight value in the appointed brands, the manufacturers, the vehicles or the displacement is displayed, a directory corresponding to the result is displayed, a plurality of upper-level directories and lower-level subdirectories of the directory corresponding to the result are displayed simultaneously, the lower-level subdirectories are selected by a user, and the lower-level subdirectories are selected layer by layer until the displacement directory is selected; for example: the input keyword is 'Changan Ford Focus three-compartment 2016', the split keywords can be matched with fields respectively and display corresponding catalogues, only the catalogues matched with the train set are displayed according to the sequence of the weight values, and the result of the catalogues is displayed in the same step 2.4.
And step 3: and (3) displaying the screening results in the vehicle type database in a display frame module according to the selection of the customer in the step (2), and arranging the screening results in a descending order according to the numerical value of the vehicle type holding quantity. For example: after matching and selection, 3 specific vehicle types, namely a vehicle type 1, a vehicle type 2 and a vehicle type 3 are arranged under the '1.5T displacement' of a 'Fox-Compartment (C3462012-2018)' vehicle group, and the vehicle types are displayed in a display frame module for selection by a user, and are arranged in a descending order according to the numerical values of the reserved quantity of the vehicle types, so that the user can distinguish cold door vehicles from vehicle door vehicles.
Because the number of vehicle types corresponding to each brand or the vehicle series of the same brand is thousands, the number of the displayed vehicle types is excessive when the brand is selected, and in order to simplify the number of the vehicle types displayed by the display frame module in the step 3, the screening result in the vehicle type database can be displayed in the display frame module only after the user enters the hierarchical selection of the vehicle group catalog, so that the display interface is simplified.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims (10)

1. The utility model provides a based on group of cars intelligence retrieval motorcycle type system which characterized in that, includes motorcycle type database, search frame module and selection frame module, the motorcycle type database includes a plurality of motorcycle type, a plurality of motorcycle type is classified through brand, manufacturer, car system, discharge capacity, the car system is classified through the group of cars, the group of cars includes car chassis number, car algebra and year of production, the same motorcycle type of car chassis number and car algebra divides into same group of cars and shows minimum year of production and the biggest year of production of this group of cars, the selection frame module is used for showing the catalogue of motorcycle type database supplies the user to select and screens a plurality of motorcycle type database, search frame module is used for the user to input the keyword and will the keyword matches to the motorcycle type database.
2. The system of claim 1, wherein the selection box module comprises a first selection box module, a second selection box module, a third selection box module and a fourth selection box module, the first selection box module is used for displaying a brand directory of the brand and enabling the brand directory to be selected by a user, the second selection box module is used for displaying a manufacturer directory of the manufacturer and enabling the manufacturer directory to be selected by the user, the third selection box module is used for displaying a train directory of the train and enabling the train directory to be selected by the user, and the fourth selection box module is used for displaying a train directory of the train and enabling the train directory to be selected by the user.
3. The system of claim 2, wherein the manufacturer directory is a subdirectory of a brand directory, the car family directory is a subdirectory of a manufacturer directory, and the consist directory is a subdirectory of a car family directory.
4. The system of claim 2, wherein the selection box module further comprises a fifth selection box module, the fifth selection box module is configured to display the displacement directory of the displacement and provide the displacement directory for selection by a user, and the displacement directory is a subdirectory of a consist directory.
5. The system of claim 4, wherein when one of the brand directory, manufacturer directory, train directory, consist directory or displacement directory is displayed, all directories and adjacent subdirectories at its top level are displayed simultaneously.
6. The vehicle consist-based intelligent retrieval vehicle type system of claim 2, wherein the brand directory is ordered according to a preset brand pinyin first rule, and the brand pinyin first rule is ordered in ascending order of brand pinyin first letters.
7. The intelligent retrieval vehicle type system based on set of vehicles of claim 1, further comprising a display frame module, wherein the display frame module is used for displaying a plurality of vehicle types in the vehicle type database after being screened by the selection frame module, and the plurality of vehicle types displayed by the display frame module are sorted in descending order according to vehicle type holding amount.
8. A method for intelligently retrieving vehicle types based on a vehicle set is characterized by comprising the following steps:
step 1: acquiring a keyword input by a user;
step 2: classifying a plurality of vehicle types in a vehicle type database layer by layer according to brands, manufacturers, vehicle systems, vehicle groups and discharge capacities to form a five-level directory which is a brand directory, a manufacturer directory, a vehicle system directory, a vehicle group directory and a discharge capacity directory of a previous-level subdirectory in the next level, matching the keywords in the step 1 with the fields of the brands, the manufacturers, the vehicle systems, the vehicle groups and the discharge capacities in the vehicle type database, and selecting layer by layer:
step 2.1: when the keyword is a word segment and a brand is matched, displaying a brand directory and a manufacturer directory, marking out the brand related to the keyword, selecting the manufacturer directory of the next level by a user, and selecting the manufacturer directory layer by layer until the discharge amount is selected;
step 2.2: when the keyword is a word segment matched with a manufacturer, displaying a brand directory, a manufacturer directory and a vehicle system directory, marking out the brand and the manufacturer related to the keyword, selecting the vehicle system directory of the next level by a user, and selecting the vehicle system directory layer by layer until selecting a displacement directory;
step 2.3: when the key words are word segments and are matched with the car department, displaying a brand directory, a manufacturer directory, a car department directory and a car group directory, and marking out the brand, the manufacturer and the car department related to the key words, wherein the next-level car group directory is selected by a user and is selected layer by layer until the discharge capacity directory is selected;
step 2.4: when the key words are word segments matched with the car groups, displaying a brand directory, a manufacturer directory, a car system directory, a car group directory and a discharge capacity directory, marking out the brands, the manufacturers, the car systems and the car groups related to the key words, and enabling the discharge capacity directory of the next stage to be selected by a user;
step 2.5: when the key words are multiple word segments, the key words in the multiple word segments are split and then are respectively matched, and the weight values of the hit fields of the key words are in the following order: the number of the vehicles is greater than the displacement and the number of the vehicles is greater than the number of the manufacturers, then a result with the largest weight value in the appointed brands, the manufacturers, the vehicles or the displacement is displayed, a directory corresponding to the result is displayed, a plurality of upper-level directories and lower-level subdirectories of the directory corresponding to the result are displayed simultaneously, the lower-level subdirectories are selected by a user, and the lower-level subdirectories are selected layer by layer until the displacement directory is selected;
and step 3: and (3) displaying the screening results in the vehicle type database in a display frame module according to the selection of the customer in the step (2), and arranging the screening results in a descending order according to the numerical value of the vehicle type holding quantity.
9. The method for intelligently retrieving vehicle models based on vehicle groups as claimed in claim 8, wherein in step 2, the vehicle groups are classified according to the vehicle groups under the same vehicle systems under the same brand and the same manufacturer, the vehicle groups comprise data of vehicle chassis numbers, vehicle algebra and production years, the vehicle models with the same vehicle chassis numbers and vehicle algebra are divided into the same vehicle group and the minimum production year and the maximum production year of the vehicle group are displayed, and when the keyword is matched with any one field of the vehicle chassis numbers, the vehicle algebra and the production years of the vehicle groups, the vehicle group catalog is directly displayed and the corresponding vehicle groups are marked.
10. The method for intelligently retrieving vehicle models based on consist set of claim 8, wherein in step 3, the screening results in the vehicle model database are displayed in the display box module only after the user enters the level selection of the consist catalog.
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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010044837A1 (en) * 2000-03-30 2001-11-22 Iqbal Talib Methods and systems for searching an information directory
US6324534B1 (en) * 1999-09-10 2001-11-27 Requisite Technology, Inc. Sequential subset catalog search engine
US20030233347A1 (en) * 2002-06-04 2003-12-18 Weinberg Paul N. Method and apparatus for generating and utilizing qualifiers and qualified taxonomy tables
US20050125261A1 (en) * 2003-12-09 2005-06-09 Alexander Omeed Adegan Intelligent used parts cross-referencing, search and location software application
KR20060103165A (en) * 2005-03-23 2006-09-28 조광현 Classified web sites search system and method
WO2007045671A1 (en) * 2005-10-18 2007-04-26 Swisscube Limited Method and system for unified search using categories and keywords
JP2011065627A (en) * 2009-08-21 2011-03-31 Yahoo Japan Corp Information display device, display control method, and program
CN102591890A (en) * 2011-01-17 2012-07-18 腾讯科技(深圳)有限公司 Method for displaying search information and search information display device
CN102799595A (en) * 2011-05-27 2012-11-28 赵强 Method for searching database
CN106202398A (en) * 2016-07-08 2016-12-07 北京易车互联信息技术有限公司 A kind of method and device indexing foundation
CN107357491A (en) * 2017-07-14 2017-11-17 深圳易嘉恩科技有限公司 The page interaction browsed for bill document information
CN108491447A (en) * 2018-02-23 2018-09-04 政采云有限公司 Optimization method and system based on cascade selector search result option
CN108647276A (en) * 2015-05-11 2018-10-12 何杨洲 A kind of searching method
US20180330420A1 (en) * 2016-05-18 2018-11-15 Glenn E. Staats Automated Operation of Automobile Parts eStores with Automated Selection of Parts and Dynamic Pricing
CN112667700A (en) * 2019-10-16 2021-04-16 北京航天长峰科技工业集团有限公司 Government affair big data super search system

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6324534B1 (en) * 1999-09-10 2001-11-27 Requisite Technology, Inc. Sequential subset catalog search engine
US20010044837A1 (en) * 2000-03-30 2001-11-22 Iqbal Talib Methods and systems for searching an information directory
US20030233347A1 (en) * 2002-06-04 2003-12-18 Weinberg Paul N. Method and apparatus for generating and utilizing qualifiers and qualified taxonomy tables
US20050125261A1 (en) * 2003-12-09 2005-06-09 Alexander Omeed Adegan Intelligent used parts cross-referencing, search and location software application
KR20060103165A (en) * 2005-03-23 2006-09-28 조광현 Classified web sites search system and method
WO2007045671A1 (en) * 2005-10-18 2007-04-26 Swisscube Limited Method and system for unified search using categories and keywords
JP2011065627A (en) * 2009-08-21 2011-03-31 Yahoo Japan Corp Information display device, display control method, and program
CN102591890A (en) * 2011-01-17 2012-07-18 腾讯科技(深圳)有限公司 Method for displaying search information and search information display device
CN102799595A (en) * 2011-05-27 2012-11-28 赵强 Method for searching database
CN108647276A (en) * 2015-05-11 2018-10-12 何杨洲 A kind of searching method
US20180330420A1 (en) * 2016-05-18 2018-11-15 Glenn E. Staats Automated Operation of Automobile Parts eStores with Automated Selection of Parts and Dynamic Pricing
CN106202398A (en) * 2016-07-08 2016-12-07 北京易车互联信息技术有限公司 A kind of method and device indexing foundation
CN107357491A (en) * 2017-07-14 2017-11-17 深圳易嘉恩科技有限公司 The page interaction browsed for bill document information
CN108491447A (en) * 2018-02-23 2018-09-04 政采云有限公司 Optimization method and system based on cascade selector search result option
CN112667700A (en) * 2019-10-16 2021-04-16 北京航天长峰科技工业集团有限公司 Government affair big data super search system

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