CN110569383A - Shop information processing method, shop information processing device, storage medium and computer equipment - Google Patents
Shop information processing method, shop information processing device, storage medium and computer equipment Download PDFInfo
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Abstract
the invention discloses a shop information processing method and device using big data, a storage medium and computer equipment, relates to the technical field of information, and mainly aims to improve the searching efficiency of a maintenance shop and avoid bringing invalid workload to the corresponding maintenance shop. The method comprises the following steps: receiving a shop information acquisition request, wherein the shop information acquisition request carries an image of a faulty vehicle; inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for identification so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle; if the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database; and responding the shop information acquisition request by using the inquired shop information. The invention is suitable for processing the store information.
Description
Technical Field
The invention relates to the technical field of information, in particular to a shop information processing method, a shop information processing device, a shop information processing storage medium and computer equipment.
Background
With the continuous development of information technology and the continuous improvement of the living standard of people, the use of various vehicles is also popularized in the life of people. When the vehicle breaks down or has an accident, the vehicle needs to go to a maintenance shop to be maintained.
At present, a vehicle owner is required to manually find a maintenance shop for maintenance. However, if there is no spare corresponding component in the inventory of the repair shop for the faulty vehicle, the vehicle owner has to switch to another repair shop for repair, or wait for the repair shop to order the corresponding faulty component from the vehicle manufacturer, resulting in a long repair cycle of the vehicle, or the vehicle owner makes a call to the repair shop one by one to ask for the faulty condition of the vehicle and whether there is a corresponding faulty component, resulting in the vehicle owner needing to spend a lot of effort to find the repair shop, increasing the repair cost of the vehicle owner, and resulting in a low finding efficiency of the repair shop. In addition, it also causes a lot of inefficient workload to the corresponding repair shop.
disclosure of Invention
The invention provides a shop information processing method, a shop information processing device, a storage medium and a computer device, and mainly aims to automatically recommend a maintenance shop with a fault vehicle part in stock for a vehicle owner, save the effort of the vehicle owner in searching the maintenance shop, reduce the maintenance cost of the vehicle owner and improve the searching efficiency of the maintenance shop. In addition, the invalid workload brought to the corresponding maintenance shop can be avoided.
According to a first aspect of the present invention, there is provided a shop information processing method including:
Receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image;
inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle;
if the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database;
and responding the shop information acquisition request by using the inquired shop information.
According to a second aspect of the present invention, there is provided a shop information processing apparatus including:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a shop information acquisition request which carries an image of a faulty vehicle;
the identification unit is used for inputting the fault vehicle image into a fault vehicle component replacement model trained in advance to identify so as to determine whether a fault vehicle component needing to be replaced exists in the fault vehicle image;
the identification unit is further used for identifying the attribute information of the faulty vehicle component according to the faulty vehicle image if the faulty vehicle component needing to be replaced exists in the faulty vehicle image, and inquiring shop information of a maintenance shop corresponding to the faulty vehicle component in stock according to the attribute information of the faulty vehicle component and a preset database;
The query unit is used for querying shop information of a maintenance shop with the fault vehicle component in corresponding stock according to the attribute information of the fault vehicle component and a preset database;
and the response unit is used for responding the shop information acquisition request by using the inquired shop information.
According to a third aspect of the present invention, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
Receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image;
inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle;
If the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database;
and responding the shop information acquisition request by using the inquired shop information.
According to a fourth aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the program:
Receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image;
Inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle;
if the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database;
And responding the shop information acquisition request by using the inquired shop information.
Compared with the prior art that a maintenance shop is usually required to be found and maintained manually by a vehicle owner, the shop information processing method, the shop information processing device, the storage medium and the computer equipment provided by the invention can receive a shop information acquisition request, wherein the shop information acquisition request carries an image of a faulty vehicle; and the image of the fault vehicle can be input into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle. Meanwhile, when the faulty vehicle part is determined to exist in the faulty vehicle image, the attribute information of the faulty vehicle part can be identified according to the faulty vehicle image, and the shop information of the maintenance shop, in which the faulty vehicle part exists, in the corresponding stock is inquired according to the attribute information of the faulty vehicle part and a preset database; and the inquired shop information is used for responding the shop information acquisition request, so that the maintenance shop with the fault vehicle part in the stock can be automatically recommended to the vehicle owner, the energy of the vehicle owner for searching the maintenance shop can be saved, the maintenance cost of the vehicle owner is reduced, and the searching efficiency of the maintenance shop can be improved. In addition, the invalid workload brought to the corresponding maintenance shop can be avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic flow chart of a store information processing method according to an embodiment of the invention;
FIG. 2 is a schematic flow chart of another store information processing method according to an embodiment of the invention;
FIG. 3 is a schematic structural diagram of a store information processing apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another store information processing apparatus according to an embodiment of the present invention;
fig. 5 shows a physical structure diagram of a computer device according to an embodiment of the present invention.
Detailed Description
the invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
As background, currently, it is often necessary for vehicle owners to manually find repair shops for repair. However, if there is no spare corresponding component in the inventory of the repair shop for the faulty vehicle, the vehicle owner has to switch to another repair shop for repair, or wait for the repair shop to order the corresponding faulty component from the vehicle manufacturer, resulting in a long repair cycle of the vehicle, or the vehicle owner makes a call to the repair shop one by one to ask for the faulty condition of the vehicle and whether there is a corresponding faulty component, resulting in the vehicle owner needing to spend a lot of effort to find the repair shop, increasing the repair cost of the vehicle owner, and resulting in a low finding efficiency of the repair shop. In addition, it also causes a lot of inefficient workload to the corresponding repair shop.
In order to solve the above problem, an embodiment of the present invention provides a store information processing method, as shown in fig. 1, the method including:
101. A store information acquisition request is received.
The shop information acquisition request carries a fault vehicle image. The execution subject of the embodiment of the invention can be a server, the shop information acquisition request can be sent by the terminal equipment, and specifically, the shop information acquisition request can be sent by the terminal equipment when a car owner uploads a fault car picture to the terminal equipment after a car fails. The number of the faulty vehicle images may be one or multiple, and the embodiment of the present invention is not limited herein.
102. And inputting the image of the fault vehicle into a fault vehicle component replacement model trained in advance for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle. If so, go to step 103.
the vehicle component may be a door handle, a door, a tire, a left front door, a right front door, a left fender, a right fender, a front bumper, a rear bumper, or the like. The failure vehicle component replacement model may be obtained by training a plurality of pieces of replaced vehicle component image information and failure feature information of pairs thereof using a deep learning algorithm, the deep learning algorithm may be a convolutional neural network algorithm, the trained convolutional neural network model may be a multilayer neural network, for example, may be a neural network of 6 convolutional layers, and each feature extraction layer may be followed by a calculation layer for calculation and quadratic extraction. The fault vehicle component replacement model is trained through the convolutional neural network algorithm, and the tolerance of the image information of the replaced vehicle component can be improved. After the faulty vehicle image is input into the faulty vehicle component replacement model, the extraction layer of the faulty vehicle component replacement model can extract fault feature information of a vehicle component from the faulty vehicle image, calculate the similarity between the extracted fault feature information and the fault feature information of the replaced vehicle component, and if the similarity is greater than or equal to a preset threshold, can determine that the extracted fault feature information matches with the fault feature information of the replaced vehicle component, and determine that the faulty vehicle component needing to be replaced exists in the faulty vehicle image. And if the similarity is smaller than a preset threshold value, determining that the extracted fault characteristic information is not matched with the fault characteristic information of the replaced vehicle component, and determining that the fault vehicle component needing to be replaced does not exist in the fault vehicle image. The preset threshold may be set according to a user requirement, or may be set according to a default mode of the system, which is not limited in the embodiment of the present invention. The preset threshold may be 85%, 90%, etc., as described.
103. and identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop with the fault vehicle part in a corresponding stock according to the attribute information of the fault vehicle part and a preset database.
the attribute information of the faulty vehicle component may be manufacturer information of the faulty vehicle component, model information, size information, and the like of the corresponding vehicle. Attribute information and stock information of vehicle parts in different maintenance shops and shop information of the different maintenance shops are stored in the preset database. When a vehicle component exists in the inventory corresponding to the maintenance shop, the attribute information of the faulty vehicle component may be saved in the preset database, and when a vehicle component exists in the inventory corresponding to the maintenance shop, the attribute information of the faulty vehicle component may be saved in the preset database. Or the preset database may further store inventory information of the vehicle parts, and when it is determined that the inventory number corresponding to the vehicle parts is not 0 according to the attribute information of the vehicle parts, it indicates that the vehicle parts exist in the inventory corresponding to the maintenance shop, and the maintenance shop is the maintenance shop that needs to be searched.
104. and responding the shop information acquisition request by using the inquired shop information.
for the embodiment of the present invention, the step 104 may specifically be: and sending the inquired store information to the terminal equipment requesting the store information, so that the terminal equipment displays the store information, and the owner can select a maintenance store to maintain through the displayed store information.
compared with the prior art that a vehicle owner needs to manually find a maintenance shop for maintenance, the shop information processing method provided by the embodiment of the invention can receive a shop information acquisition request which carries an image of a faulty vehicle; and the image of the fault vehicle can be input into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle. Meanwhile, when the faulty vehicle part is determined to exist in the faulty vehicle image, the attribute information of the faulty vehicle part can be identified according to the faulty vehicle image, and the shop information of the maintenance shop, in which the faulty vehicle part exists, in the corresponding stock is inquired according to the attribute information of the faulty vehicle part and a preset database; and the inquired shop information is used for responding the shop information acquisition request, so that the maintenance shop with the fault vehicle part in the stock can be automatically recommended to the vehicle owner, the energy of the vehicle owner for searching the maintenance shop can be saved, the maintenance cost of the vehicle owner is reduced, and the searching efficiency of the maintenance shop can be improved. In addition, the invalid workload brought to the corresponding maintenance shop can be avoided.
Further, in order to better explain the procedure of the store information processing, as a refinement and an extension of the foregoing embodiment, an embodiment of the present invention provides another store information processing method, as shown in fig. 2, the method includes:
201. A store information acquisition request is received.
The shop information acquisition request carries a fault vehicle image.
202. and inputting the fault vehicle image into a pre-trained vehicle component segmentation model for segmentation to obtain a plurality of vehicle component images.
The vehicle part segmentation model may be obtained by training each part picture of the sample vehicle by using a deep learning algorithm, for example, the vehicle parts may be a door handle, a door, a tire, a left front door, a right front door, a left fender, a right fender, a front bumper, a rear bumper, and the like. In the process of training the vehicle part segmentation model, the vehicle part segmentation model can continuously learn the component characteristics of each vehicle part. After the vehicle part segmentation model is trained, the vehicle part can be identified from the vehicle picture through the vehicle part segmentation model.
203. and inputting the plurality of vehicle component images into a pre-trained fault vehicle component recognition model for recognition to obtain fault vehicle components in the fault vehicle images.
It should be noted that the vehicle part fault identification model may be obtained by training fault feature information of multiple sample faulty vehicle components by using a deep learning algorithm, and the sample faulty vehicle components may include multiple types of sample faulty vehicle components. The fault signature vehicle for the sample faulty vehicle component may be extracted from a fault image of the sample faulty vehicle component. When the fault vehicle part identification model is trained, a fault vehicle part can be identified from the vehicle part image.
204. And inputting the image corresponding to the fault vehicle component into a fault vehicle component replacement model trained in advance for recognition so as to determine whether the fault vehicle component needing to be replaced exists in the fault vehicle image. If so, go to step 205.
for the embodiment of the present invention, the step 204 may specifically include: inputting the image corresponding to the faulty vehicle component into a pre-trained faulty vehicle component replacement model to extract fault feature information corresponding to the faulty vehicle component, matching the extracted fault feature information with fault feature information of a replaced vehicle component, if matching, determining that the faulty vehicle component is the faulty vehicle component needing to be replaced, and determining that the faulty vehicle component exists in the faulty vehicle image. And if not, determining that the fault vehicle component is not the fault vehicle component needing to be replaced, and determining that the fault vehicle component needing to be replaced does not exist in the fault vehicle image.
205. identifying vehicle identification information from the image of the fault vehicle, determining attribute information of the fault vehicle component needing to be replaced according to the vehicle identification information, and inquiring shop information of a maintenance shop of the fault vehicle component needing to be replaced in corresponding stock according to the attribute information of the fault vehicle component needing to be replaced and a preset database.
For the embodiment of the invention, the vehicle identification information can be a vehicle identification code or a vehicle license plate number. The vehicle identification code can be formed by combining 17-bit numbers and letters when the vehicle leaves a factory, can reflect a lot of information of the vehicle, such as the manufacturer of the vehicle, the production time of the vehicle and the type of the vehicle, and can identify the vehicle identification code from the image of the fault vehicle when the vehicle identification information is the vehicle identification code, and analyze the vehicle identification code to obtain the attribute information of the component of the fault vehicle.
Further, in order to improve the query efficiency of the repair shop, the method further comprises the following steps: and according to the attribute information of the vehicle parts in the corresponding stocks of the different maintenance shops, establishing shop matching rules of the different maintenance shops, and according to the shop matching rules of the different maintenance shops and the shop information of the different maintenance shops, establishing a preset maintenance shop matching library. The step of querying the shop information of the repair shop in which the faulty vehicle component exists in the corresponding inventory according to the attribute information and the preset database may specifically include: matching the attribute information of the fault vehicle part with a shop matching rule in the preset maintenance shop matching library; and determining the matched shop information of the maintenance shop as the shop information of the maintenance shop corresponding to the vehicle component with the fault in the stock. In the matching process, paraphrasing processing is carried out on the shop matching rules of a preset maintenance shop matching base to obtain paraphrasing single members of the attribute information of each vehicle part in the stocks in different maintenance shops, the paraphrasing single member of the attribute information of the fault part is matched with the paraphrasing single member obtained through processing, and if matching is successful, the matched shop information of the maintenance shop is determined to be the shop information of the maintenance shop corresponding to the fault vehicle part in the stock and output. When parts missing in the repair shop are replenished in stock, shop matching rules can be constructed according to the attribute information of the replenished vehicle parts and added to the preset repair shop matching library. When the stock of a certain part in the maintenance shop is not available, the corresponding maintenance shop matching rule can be deleted from the preset maintenance shop matching library.
206. And responding the shop information acquisition request by using the inquired shop information.
For the embodiment of the present invention, when the inquired store information is store information of a plurality of maintenance stores, in order to reduce screening efficiency of the maintenance stores, before the step 206, the method further includes: judging whether the inquired store information is the store information of a plurality of maintenance stores; if the shop information is the shop information of a plurality of maintenance shops, inquiring maintenance return visit records of the plurality of shops from the preset database, and extracting maintenance parameter scores of the plurality of shops from the maintenance return visit records; and calculating the comprehensive maintenance scores of the shops according to the score information of each maintenance parameter and a preset score formula. The step 206 may specifically include: and responding the inquired shop information to the shop information acquisition request according to the high and low sequence of the comprehensive maintenance score.
The maintenance parameter scores can be maintenance quality scores, maintenance price scores, maintenance man-hour scores, maintenance service attitude scores and the like, and the comprehensive evaluation score of the maintenance shop can be determined according to the maintenance quality scores, the maintenance price scores, the maintenance man-hour scores and the maintenance service attitude scores. The preset evaluation score formula may be: and the comprehensive evaluation score of the maintenance shop is the maintenance quality score, the maintenance quality weight, the maintenance price score, the maintenance price weight, the maintenance man-hour score, the maintenance man-hour weight and the maintenance service attitude score, and the maintenance service attitude weight.
in addition, the store information acquisition request also carries the location information of the owner of the vehicle, and before the step 206, the method further includes: judging whether the inquired store information is the store information of a plurality of maintenance stores; and if the shop information is the shop information of a plurality of maintenance shops, inquiring the position information of the shops from the preset database, and calculating the distance information between the owner and the shops according to the position information of the owner and the position information of the shops. The step 206 may specifically include: and responding the inquired shop information to the shop information acquisition request according to the distance sequence.
Compared with the prior art that a vehicle owner needs to manually find a maintenance shop for maintenance, the shop information processing method provided by the embodiment of the invention can receive a shop information acquisition request which carries an image of a faulty vehicle; and the image of the fault vehicle can be input into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle. Meanwhile, when the faulty vehicle part is determined to exist in the faulty vehicle image, the attribute information of the faulty vehicle part can be identified according to the faulty vehicle image, and the shop information of the maintenance shop, in which the faulty vehicle part exists, in the corresponding stock is inquired according to the attribute information of the faulty vehicle part and a preset database; and the inquired shop information is used for responding the shop information acquisition request, so that the maintenance shop with the fault vehicle part in the stock can be automatically recommended to the vehicle owner, the energy of the vehicle owner for searching the maintenance shop can be saved, the maintenance cost of the vehicle owner is reduced, and the searching efficiency of the maintenance shop can be improved. In addition, the invalid workload brought to the corresponding maintenance shop can be avoided.
Further, as a specific implementation of fig. 1, an embodiment of the present invention provides a store information processing apparatus, which may be a server, as shown in fig. 3, and includes: a receiving unit 31, a recognition unit 32, a query unit 33 and a response unit 34.
the receiving unit 31 may be configured to receive a shop information acquisition request, where the shop information acquisition request carries a faulty vehicle image. The receiving unit 31 is a main function module of the apparatus that receives the store information acquisition request, and may be client-oriented.
the identifying unit 32 may be configured to input the faulty vehicle image into a faulty vehicle component replacement model trained in advance for identification, so as to determine whether there is a faulty vehicle component in the faulty vehicle image that needs to be replaced. The recognition unit 32 is a main function module of the present apparatus that inputs the faulty vehicle image into a faulty vehicle component replacement model trained in advance to recognize, and is also a core module that determines whether there is a faulty vehicle component that needs to be replaced in the faulty vehicle image.
the identifying unit 32 may be further configured to identify attribute information of the faulty vehicle component according to the faulty vehicle image if the faulty vehicle component that needs to be replaced exists in the faulty vehicle image. The identifying unit 32 is further configured to identify a main function module of attribute information of the faulty vehicle component according to the faulty vehicle image if the faulty vehicle component that needs to be replaced exists in the faulty vehicle image.
The query unit 33 may be further configured to query, according to the attribute information of the faulty vehicle component and a preset database, shop information of a repair shop in which the faulty vehicle component exists in a corresponding inventory. The query unit 33 is a main function module of the shop information of the repair shop in the device, which queries the repair shop having the faulty vehicle component in the corresponding stock according to the attribute information of the faulty vehicle component and a preset database.
the responding unit 34 may be configured to respond to the store information obtaining request with the queried store information. The response unit 34 is a main function module of the apparatus that responds to the store information acquisition request with the inquired store information.
for the embodiment of the present invention, in order to improve the efficiency of identifying a faulty vehicle component that needs to be replaced, the identifying unit 32 may be specifically configured to input the faulty vehicle image into a vehicle component segmentation model trained in advance for segmentation, so as to obtain a plurality of vehicle component images; inputting the plurality of vehicle component images into a pre-trained fault vehicle component recognition model for recognition to obtain fault vehicle components in the fault vehicle images; and inputting the image corresponding to the fault vehicle component into a fault vehicle component replacement model trained in advance for recognition so as to determine whether the fault vehicle component needing to be replaced exists in the fault vehicle image. The vehicle component division model is used for dividing each component picture of a vehicle, and the vehicle component division model is obtained by training each component picture of a sample vehicle by using a deep learning algorithm, for example, the components of the vehicle can be a door handle, a door, a tire, a left front door, a right front door, a left fender, a right fender, a front bumper, a rear bumper and the like.
For the embodiment of the present invention, in order to determine the attribute information of the faulty vehicle component, the identifying unit 32 may be specifically configured to identify vehicle identification information from the faulty vehicle image, and determine the attribute information of the faulty vehicle component according to the vehicle identification information.
In a specific application scenario, the identifying unit 32 may be specifically configured to identify a vehicle identification code from the faulty vehicle image, and analyze the vehicle identification code to obtain attribute information of the faulty vehicle component; or identifying the license plate number of the vehicle from the image of the fault vehicle, and searching the attribute information of the component of the fault vehicle according to the license plate number of the vehicle.
In the embodiment of the present invention, when the inquired store information is store information of a plurality of maintenance stores, in order to reduce screening efficiency of the maintenance stores, the apparatus further includes: a judging unit 35, an extracting unit 36 and a calculating unit 37, as shown in fig. 4.
The determination unit 35 may be configured to determine whether the inquired store information is store information of a plurality of maintenance stores. The determination unit 35 is a main function block that determines whether the store information inquired in the apparatus is store information of a plurality of maintenance stores.
The query unit 33 may be further configured to query, from the preset database, repair return records of a plurality of shops if the queried shop information is shop information of a plurality of repair shops. The query unit 33 is also a main function module of the apparatus that queries the repair return records of the plurality of stores from the preset database.
The extracting unit 36 may be configured to extract the maintenance parameter scores of the plurality of stores from the maintenance return visit record. The extraction unit 36 is a main function module of the apparatus that extracts the maintenance parameter scores of the stores from the maintenance return visit records.
the calculating unit 37 may be configured to calculate a comprehensive maintenance score of the plurality of shops according to the maintenance parameter score information and a preset score formula. The calculating unit 37 is a main function module of the apparatus that calculates the comprehensive maintenance scores of the plurality of shops according to the score information of each maintenance parameter and a preset score formula.
The responding unit 34 may be specifically configured to respond the queried store information to the store information obtaining request according to the order of the comprehensive repair score.
In a specific application scenario, the querying unit 33 may be further configured to query the location information of the plurality of shops from the preset database if the queried shop information is shop information of a plurality of maintenance shops.
the calculation unit 37 may be further configured to calculate distance information between the vehicle owner and the plurality of stores based on the position information of the vehicle owner and the position information of the plurality of stores;
The responding unit 34 may be further configured to respond to the store information acquisition request with the queried store information in the order of distance.
in an embodiment of the present invention, the preset database stores attribute information of vehicle parts in stock corresponding to different repair shops and shop information of the different repair shops, and in order to further promote a repair shop corresponding to a repair shop having a faulty vehicle part in stock, the apparatus further includes: a unit 38 is constructed.
the constructing unit 38 may be configured to construct the shop matching rules of the different repair shops according to the attribute information of the vehicle parts in the corresponding inventory of the different repair shops, and construct the preset repair shop matching library according to the shop matching rules of the different repair shops and the shop information of the different repair shops.
the query unit 33 may be further configured to match the attribute information of the faulty vehicle component with a store matching rule in the preset maintenance store matching library; and determining the matched shop information of the maintenance shop as the shop information of the maintenance shop corresponding to the vehicle component with the fault in the stock.
It should be noted that other corresponding descriptions of the functional modules related to the store information processing apparatus provided in the embodiment of the present invention may refer to the corresponding description of the method shown in fig. 1, and are not described herein again.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps: receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image; inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle; if the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database; and responding the shop information acquisition request by using the inquired shop information.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 3, an embodiment of the present invention further provides an entity structure diagram of a computer device, as shown in fig. 5, where the computer device includes: a processor 41, a memory 42, and a computer program stored on the memory 42 and executable on the processor, wherein the memory 42 and the processor 41 are both arranged on a bus 43 such that when the processor 41 executes the program, the following steps are performed: receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image; inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle; if the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database; and responding the shop information acquisition request by using the inquired shop information. The apparatus further comprises: a bus 43 configured to couple the processor 41 and the memory 42.
according to the technical scheme, a shop information acquisition request can be received, wherein the shop information acquisition request carries an image of a faulty vehicle; and the image of the fault vehicle can be input into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle. Meanwhile, when the faulty vehicle part is determined to exist in the faulty vehicle image, the attribute information of the faulty vehicle part can be identified according to the faulty vehicle image, and the shop information of the maintenance shop, in which the faulty vehicle part exists, in the corresponding stock is inquired according to the attribute information of the faulty vehicle part and a preset database; and the inquired shop information is used for responding the shop information acquisition request, so that the maintenance shop with the fault vehicle part in the stock can be automatically recommended to the vehicle owner, the energy of the vehicle owner for searching the maintenance shop can be saved, the maintenance cost of the vehicle owner is reduced, and the searching efficiency of the maintenance shop can be improved. In addition, the invalid workload brought to the corresponding maintenance shop can be avoided.
it will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A store information processing method, characterized by comprising:
Receiving a shop information acquisition request, wherein the shop information acquisition request carries a faulty vehicle image;
inputting the image of the fault vehicle into a pre-trained fault vehicle component replacement model for recognition so as to determine whether a fault vehicle component needing to be replaced exists in the image of the fault vehicle;
If the fault vehicle part exists, identifying the attribute information of the fault vehicle part according to the fault vehicle image, and inquiring shop information of a maintenance shop, in which the fault vehicle part exists, in corresponding stock according to the attribute information of the fault vehicle part and a preset database;
And responding the shop information acquisition request by using the inquired shop information.
2. The method of claim 1, wherein inputting the faulty vehicle image into a pre-trained faulty vehicle component replacement model for recognition to determine whether there is a faulty vehicle component in the faulty vehicle image that needs to be replaced comprises:
Inputting the fault vehicle image into a pre-trained vehicle component segmentation model for segmentation to obtain a plurality of vehicle component images;
Inputting the plurality of vehicle component images into a pre-trained fault vehicle component recognition model for recognition to obtain fault vehicle components in the fault vehicle images;
and inputting the image corresponding to the fault vehicle component into a fault vehicle component replacement model trained in advance for recognition so as to determine whether the fault vehicle component needing to be replaced exists in the fault vehicle image.
3. the method of claim 1, wherein said identifying attribute information of said faulty vehicle component from said faulty vehicle image comprises:
And identifying vehicle identification information from the image of the fault vehicle, and determining attribute information of the fault vehicle component according to the vehicle identification information.
4. the method of claim 3, wherein the identifying vehicle identification information from the faulty vehicle image and determining attribute information of the faulty vehicle component from the vehicle identification information comprises:
Identifying a vehicle identification code from the image of the fault vehicle, and analyzing the vehicle identification code to obtain attribute information of the component of the fault vehicle; or
And identifying the license plate number of the vehicle from the image of the fault vehicle, and searching the attribute information of the component of the fault vehicle according to the license plate number of the vehicle.
5. The method of claim 1, wherein prior to responding to the store information acquisition request with the queried store information, the method further comprises:
judging whether the inquired store information is the store information of a plurality of maintenance stores;
If yes, inquiring maintenance return visit records of the shops from the preset database, and extracting maintenance parameter scores of the shops from the maintenance return visit records;
Calculating comprehensive maintenance scores of the shops according to the score information of each maintenance parameter and a preset score formula;
The responding the store information acquisition request by the inquired store information comprises the following steps:
And responding the inquired shop information to the shop information acquisition request according to the high and low sequence of the comprehensive maintenance score.
6. The method of claim 1, wherein the store information acquisition request further carries location information of a vehicle owner, and wherein before responding to the store information acquisition request, the method further comprises:
Judging whether the inquired store information is the store information of a plurality of maintenance stores;
If so, inquiring the position information of the shops from the preset database, and calculating the distance information between the owner and the shops according to the position information of the owner and the position information of the shops;
The responding the store information acquisition request by the inquired store information comprises the following steps:
And responding the inquired shop information to the shop information acquisition request according to the distance sequence.
7. The method according to claim 1, wherein attribute information of vehicle parts in stock corresponding to different repair shops and shop information of the different repair shops are saved in the preset database, and before the shop information of the repair shop corresponding to the repair shop in stock where the faulty vehicle part exists is inquired according to the attribute information of the faulty vehicle part and the preset database, the method further comprises:
according to the attribute information of the vehicle parts in the corresponding stock of the different maintenance shops, establishing shop matching rules of the different maintenance shops, and according to the shop matching rules of the different maintenance shops and the shop information of the different maintenance shops, establishing a preset maintenance shop matching library;
The inquiring of the shop information of the maintenance shop with the fault vehicle component in the corresponding stock according to the attribute information and the preset database comprises the following steps:
matching the attribute information of the fault vehicle part with a shop matching rule in the preset maintenance shop matching library;
and determining the shop information of the matched maintenance shop as the shop information of the maintenance shop corresponding to the vehicle component with the fault in the stock.
8. a shop information processing apparatus, comprising:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving a shop information acquisition request which carries an image of a faulty vehicle;
the identification unit is used for inputting the fault vehicle image into a fault vehicle component replacement model trained in advance to identify so as to determine whether a fault vehicle component needing to be replaced exists in the fault vehicle image;
The identification unit is further used for identifying the attribute information of the faulty vehicle component according to the faulty vehicle image if the faulty vehicle component needing to be replaced exists in the faulty vehicle image, and inquiring shop information of a maintenance shop corresponding to the faulty vehicle component in stock according to the attribute information of the faulty vehicle component and a preset database;
The query unit is used for querying shop information of a maintenance shop with the fault vehicle component in corresponding stock according to the attribute information of the fault vehicle component and a preset database;
And the response unit is used for responding the shop information acquisition request by using the inquired shop information.
9. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, realizing the steps of the method of any one of claims 1 to 7.
10. a computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 7 when executed by the processor.
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| CN201910683835.4A CN110569383A (en) | 2019-07-26 | 2019-07-26 | Shop information processing method, shop information processing device, storage medium and computer equipment |
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Application publication date: 20191213 |