CN113111091A - Maintenance information acquisition method and device, computer equipment and storage medium - Google Patents
Maintenance information acquisition method and device, computer equipment and storage medium Download PDFInfo
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- 238000012423 maintenance Methods 0.000 title claims abstract description 254
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000012163 sequencing technique Methods 0.000 claims description 28
- 238000004590 computer program Methods 0.000 claims description 23
- 238000003745 diagnosis Methods 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000012216 screening Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000013145 classification model Methods 0.000 description 3
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- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
Abstract
The application is applicable to the technical field of vehicle diagnosis, and provides a maintenance information acquisition method, a maintenance information acquisition device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring a target picture; identifying characteristic information of the vehicle part from the target picture; determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part; and matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part. By the method, convenience in obtaining the maintenance information corresponding to the vehicle parts can be improved.
Description
Technical Field
The application belongs to the technical field of vehicle diagnosis, and particularly relates to a maintenance information acquisition method, a maintenance information acquisition device, computer equipment and a storage medium.
Background
At present, more and more families having vehicles (such as automobiles) are provided, and more users desire to obtain automobile diagnosis and maintenance data.
In the existing method, various diagnostic data and maintenance data are stored in a database, corresponding data are searched out according to characters input by a user and are pushed to the user, and for example, related maintenance data can be accurately matched according to fault codes input by the user. But if the user is not clear of the search character to be input, the corresponding repair material cannot be obtained.
Therefore, it is necessary to provide a new searching method to solve the above technical problems.
Disclosure of Invention
The embodiment of the application provides a maintenance information acquisition method, which can solve the problem that the existing method is difficult to conveniently obtain maintenance information corresponding to vehicle parts.
In a first aspect, an embodiment of the present application provides a maintenance information obtaining method, including:
acquiring a target picture;
identifying characteristic information of the vehicle part from the target picture;
determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part;
and matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
Optionally, the identifying the feature information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the model brand and the name of the vehicle part according to the shape of the vehicle part.
Optionally, the identifying the feature information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part and a vehicle mark from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the brand and name of the vehicle part according to the shape of the vehicle part and the vehicle mark.
Optionally, the maintenance information obtaining method further includes:
if the model and the brand of the vehicle part cannot be determined according to the shape of the vehicle part and the vehicle mark, acquiring a vehicle identification code of a vehicle where the vehicle part is located;
and determining the model and brand of the vehicle part according to the vehicle identification code.
Optionally, the matching of the corresponding maintenance information from a preset database according to the model brand and the name of the vehicle component includes:
determining a corresponding fault name and a fault probability corresponding to the fault name according to the model brand and the name of the vehicle part;
matching corresponding maintenance information from the database based on the fault name;
and sequencing the maintenance information according to the corresponding fault probability and then displaying the maintenance information.
Optionally, after the matching of the corresponding maintenance information from the database based on the fault name, the method includes:
acquiring identity information of a user;
determining the display priority of the maintenance information form according to the identity information of the user, wherein the maintenance information form comprises: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
Optionally, after the matching of the corresponding maintenance information from the database based on the fault name, the method includes:
acquiring access entry information of a user;
determining a display priority of a form of the maintenance information according to the access portal, the form of the maintenance information including: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
In a second aspect, an embodiment of the present application provides a maintenance information obtaining apparatus, including:
the image acquisition module is used for acquiring a target image;
the picture identification module is used for identifying the characteristic information of the vehicle part from the target picture;
the determining module is used for determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part;
and the matching module is used for matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method according to the first aspect when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product, which, when run on a communication device, causes the communication device to execute the method of the first aspect
Compared with the prior art, the embodiment of the application has the advantages that:
in the embodiment of the application, after the characteristic information of the vehicle part is identified from the target picture, the model brand and the name of the vehicle part are determined according to the characteristic information of the vehicle part, and then the corresponding maintenance information is matched from the preset database according to the model brand and the name of the vehicle part. The maintenance information is obtained by identifying the target picture, namely, the user does not need to input any character information, so that the maintenance information corresponding to the picture can be obtained only by uploading the picture containing the vehicle part by the user, and the maintenance information corresponding to the vehicle part can be conveniently obtained.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below.
Fig. 1 is a flowchart of a maintenance information obtaining method according to an embodiment of the present application;
fig. 2 is a flowchart of a maintenance information obtaining method according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a maintenance information acquiring apparatus according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device provided in the fourth embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise.
The first embodiment is as follows:
at present, when a user needs to obtain required maintenance data related to vehicle parts, the user needs to rely on characters input by the user to search, for example, the user needs to manually select screening conditions (such as manually selecting screening conditions of vehicle types, annual amounts, displacement, configuration, data categories and the like) or input text search, but sometimes the user does not know what parts need to be searched, and does not know corresponding fault codes, that is, when the user cannot accurately describe the required searched information by text, the user cannot obtain the required maintenance data.
In order to solve the technical problem, an embodiment of the present application provides a maintenance information obtaining method, in which feature information of a vehicle part included in a target picture is directly identified, a model brand and a name of the vehicle part are determined according to the feature information of the vehicle part, and then maintenance information corresponding to the model brand and the name of the vehicle part is searched. Because the maintenance information corresponding to the vehicle part can be obtained only by uploading the picture containing the vehicle part without inputting any character by the user, the search result corresponding to the vehicle part can be conveniently obtained.
The following describes a maintenance information obtaining method provided in an embodiment of the present application with reference to the drawings.
Fig. 1 shows a flowchart of a maintenance information obtaining method provided in an embodiment of the present application, where the maintenance information obtaining method is applicable to a computer device, where the computer device includes a terminal device, a server, and the like, and is detailed as follows:
in step S11, a target picture is acquired.
The target picture is a picture which is uploaded by a user and contains vehicle parts. For example, after a user shoots a vehicle part, a picture of the vehicle part is directly uploaded to serve as a target picture; or, the user receives the picture containing the vehicle part sent by other equipment and takes the picture as a target picture.
And step S12, identifying characteristic information of the vehicle part from the target picture.
The characteristic information of the vehicle part comprises the shape and/or color of the vehicle part and/or a vehicle mark and the like.
Specifically, the target picture may be input into the trained convolutional neural network model to obtain feature information of the vehicle component output by the convolutional neural network model.
And step S13, determining the model brand and name of the vehicle part according to the characteristic information of the vehicle part.
Specifically, since different vehicle parts correspond to different characteristic information, the model and name of the vehicle part can be determined according to the characteristic information of the vehicle part.
In this embodiment, the feature information of the vehicle component may be input into a preset classification model, so as to obtain a model brand and a name of the vehicle corresponding to the vehicle component of the feature information. In some embodiments, when outputting the brand and name of the vehicle model corresponding to the vehicle component, the preset classification model further outputs a probability value corresponding to the brand and name of the vehicle model. For example, assuming that the preset classification model outputs "ignition coil of chevrolette, 90%", it represents the model brand and the name of the vehicle part "ignition coil of chevrolette", and the probability value of the "ignition coil of chevrolette" is 90%, so that it is possible to subsequently select whether to perform step S14 according to the probability value. For example, if the probability value is less than the preset probability threshold, the subsequent step S14 is not performed, otherwise, the subsequent step S14 is performed.
And step S14, matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
Specifically, the model brand and name of the vehicle part and the maintenance information of the vehicle corresponding to the model brand and name are stored in a preset database.
In this embodiment, the determined model brand and name of the vehicle component are compared with the model brand and name of the vehicle component in the preset database, and if the model brand and name identical to the determined model brand and name of the vehicle component are found, the maintenance information of the vehicle corresponding to the found model brand and name is used as the matched maintenance information.
In the embodiment of the application, after the characteristic information of the vehicle part is identified from the target picture, the model brand and the name of the vehicle part are determined according to the characteristic information of the vehicle part, and then the corresponding maintenance information is matched from the preset database according to the model brand and the name of the vehicle part. The maintenance information is obtained by identifying the target picture, namely, the user does not need to input any character information, so that the maintenance information corresponding to the picture can be obtained only by uploading the picture containing the vehicle part by the user, and the maintenance information corresponding to the vehicle part can be conveniently obtained.
In some embodiments, the characteristic information of the vehicle component is a shape of the vehicle component, and the step S12 includes:
and recognizing the shape of the vehicle part from the target picture.
Correspondingly, the step S12 specifically includes:
and determining the model brand and the name of the vehicle part according to the shape of the vehicle part.
The shape of the vehicle component refers to a shape corresponding to an outer contour of the vehicle component. The shape of the vehicle component is generally irregular.
Since each vehicle component has a specific shape and the shapes of vehicle components of the same function used by different vehicle model brands are usually different, the vehicle model brand and name corresponding to the vehicle component can be determined according to the shapes of the vehicle components.
In some embodiments, in order to accurately identify the shape of the vehicle component, identifying the shape of the vehicle component from the target picture includes:
and A1, detecting the foreground area of the target picture.
And A2, if the ratio of the size of the foreground area to the size of the target picture is larger than a preset ratio threshold, identifying the shape of the vehicle part from the target picture.
And if the ratio of the size of the foreground area to the size of the target picture is not larger than a preset ratio threshold, prompting the user to upload the target picture again, and then detecting the foreground area of the target picture which is uploaded again.
In the above-mentioned a1 and a2, only when the size of the foreground region of the target picture satisfies a certain condition, the shape of the vehicle component in the target picture is recognized, and when the foreground region is large, the size of the corresponding foreground object, i.e., the vehicle component, is also large, and when the shape of the vehicle component with a large size is recognized, the accuracy of the obtained recognition result is higher. That is, by performing step a1 and step a2, it is beneficial to improve the accuracy of the subsequently obtained cases.
Example two:
fig. 2 shows a flowchart of a maintenance information obtaining method according to a second embodiment of the present application, in this embodiment, the feature information of the vehicle component further includes a vehicle identifier, step S21 is the same as step S11, and step S24 is the same as step S14, which is not described herein again.
In step S21, a target picture is acquired.
Step S22, recognizing the shape of the vehicle component and the vehicle mark from the target picture.
The vehicle mark herein refers to a vehicle mark, and for example, when a vehicle is a "Toyota" brand, the mark corresponding to the vehicle indicating that the vehicle is a "Toyota" is the vehicle mark.
The vehicle mark of the vehicle component is used as a vehicle mark of a vehicle in which the vehicle component is located. Specifically, if the vehicle part has a vehicle logo (logo) of the vehicle, the vehicle logo is identified, and the identification result is used as the vehicle mark of the vehicle.
Specifically, if the model brand and the name of the vehicle part cannot be determined only according to the shape of the vehicle part, the vehicle mark of the vehicle where the vehicle part is located is obtained. Here, the "name of the vehicle component cannot be determined" includes: and when the output probability value of the preset classifier is less than 100 percent or less than 95 percent, determining that the model brand and the name of the vehicle part cannot be determined according to the shape of the vehicle part, and then acquiring the vehicle mark so as to judge the model brand and the name of the vehicle part together with the vehicle mark in the following process, thereby improving the accuracy of the determined model brand and the name of the vehicle part.
And step S23, determining the model brand and name of the vehicle part according to the shape of the vehicle part and the vehicle mark.
And step S24, matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
In the embodiment of the application, the model brand and the name of the vehicle part are identified together according to the shape of the vehicle part and the vehicle mark, namely, the screening condition is added, so that compared with the method of identifying only according to the shape of the vehicle part, the obtained identification result (the model brand and the name) is more accurate.
In some embodiments, the method for obtaining maintenance information in the embodiments of the present application further includes:
b1, if the model brand of the Vehicle part can not be determined according to the shape of the Vehicle part and the Vehicle mark, acquiring a Vehicle Identification Number (VIN) code of the Vehicle in which the Vehicle part is located.
And B2, determining the model brand of the vehicle part according to the vehicle identification code.
Specifically, since the VIN code is on the windshield of the vehicle, the user can be prompted to take the VIN code on the windshield, and the model and brand of the vehicle can be determined by identifying the VIN code in the picture (or video) taken by the user. Of course, the user may also be prompted to directly capture information about the model and brand of the vehicle, and the model and brand of the vehicle may be determined by identifying the information about the model and brand in the picture (or video) captured by the user.
In some embodiments, if the brand and name of the vehicle type of the vehicle part cannot be determined only according to the shape of the vehicle part, the position information indicating the position of the vehicle part on the vehicle may also be obtained. Correspondingly, step S23 includes:
and determining the model brand and the name of the vehicle part according to the shape and the position information of the vehicle part.
The positional information indicating the position of the vehicle component in the vehicle is the mounting position information of the vehicle component in the vehicle, and for example, if the vehicle component is an "ignition coil", the positional information corresponding to the "ignition coil" is usually "on a dash panel of an engine room near a cab".
In the embodiment of the application, the model brand and the name of the vehicle part are identified together according to the shape and the position information of the vehicle part, namely, the screening condition is added, so that compared with the method of identifying only according to the shape of the vehicle part, the obtained identification result (the model brand and the name) is more accurate.
In some embodiments, if the position information of the vehicle component in the vehicle is acquired in addition to the shape and the vehicle mark of the vehicle component identified from the target picture, step S23 includes:
and determining the model brand and name of the vehicle part according to the shape, the vehicle mark and the position information of the vehicle part.
In the embodiment of the application, the model brand and the name of the vehicle part are identified together according to the shape, the vehicle mark and the position information of the vehicle part, namely, the screening condition is added, so that the obtained identification result (the model brand and the name) is more accurate compared with the identification result which is only identified according to the shape of the vehicle part.
In some embodiments, when the position information indicating the position of the vehicle component in the vehicle is obtained, the method specifically includes:
c1, prompting the user to manually input position information indicating the position of the vehicle component in the vehicle.
Alternatively, the first and second electrodes may be,
and C2, prompting the user to shoot the vehicle part installed on the vehicle, obtaining the video (or picture) shot by the user, identifying the position relation between the vehicle part and other parts of the vehicle in the video (or picture), determining the position of the vehicle part on the vehicle, and obtaining the position information used for indicating the position of the vehicle part on the vehicle.
In order to obtain the positional relationship between the vehicle component and another component of the vehicle, a prompt box is displayed on the preview interface, and the ratio of the size of the prompt box to that of the preview interface is about 1/2, so that after the user restricts the screen of the vehicle component within the prompt box, the preview interface displays the screen of the vehicle component and the screen of the other component of the vehicle. The method comprises the steps of identifying other parts of the vehicle, determining relative position relations between the parts of the vehicle and the other parts of the vehicle, and finally determining position information for indicating the positions of the parts of the vehicle on the vehicle according to the identification results of the other parts of the vehicle (such as the positions of the other parts of the vehicle on the vehicle) and the obtained relative position relations.
In some embodiments, step S14 (or step S24) includes:
d1, determining a corresponding fault name and a fault probability corresponding to the fault name according to the model brand and the name of the vehicle part.
The preset database stores corresponding relations of model brands and names, failure probabilities and the like of all vehicle parts, and further stores failure phenomena, prices of the vehicle parts, purchasing links of the vehicle parts and the like.
Specifically, failure names of the vehicle parts are counted in advance, and corresponding failure probabilities when different failure names of the same vehicle part occur are counted. Thus, after the model brand and the name of the vehicle part are determined, the corresponding fault name and the fault probability corresponding to the fault name can be directly determined according to the model brand and the name of the vehicle part. For example, suppose that the failure name corresponding to the schofland kouze ignition coil may be engine shake, the failure probability is a%, the cold start is difficult, the failure probability is B%, the cold vehicle is not accelerated well, and the failure probability is C%. When the vehicle spare part is the ignition coil of schmidrifz, can confirm the trouble name and the fault probability that this schmidrifz's ignition coil corresponds fast is: the engine shakes, the failure probability is A%, the cold start is difficult, the failure probability is B%, the cold vehicle acceleration is poor, the failure probability is C%, and the like.
And D2, matching corresponding maintenance information from the database based on the fault name.
Specifically, the corresponding relationship of the maintenance information corresponding to different fault names is stored in advance, so that the corresponding maintenance information can be searched out subsequently according to the fault names.
D3, sequencing the maintenance information according to the corresponding failure probability and displaying the maintenance information.
In this embodiment, the maintenance information is ranked according to the high and low values of the failure probability, and the ranked maintenance information is displayed. For example, if 3 pieces of maintenance information, namely, maintenance information 1, maintenance information 2, and maintenance information 3, are matched, and the failure probabilities corresponding to the 3 pieces of maintenance information are 80%, 70%, and 90%, respectively, the maintenance information 3, the maintenance information 1, and the maintenance information 2 are sequentially displayed in an order from top to bottom on the display page of the computer device. Because the highest fault probability is displayed at the top, the user can quickly check the maintenance information corresponding to the highest fault probability, and the maintenance information with the highest fault probability is the maintenance information which the user wants to search.
In some embodiments, in order to make the searched maintenance information more suitable for the user's requirement, after step D2, the method includes:
and E1, acquiring the identity information of the user. Specifically, the identity information of the user is obtained according to the registration information of the user. The identification information of the user may be information identifying the user as a "student", or information identifying the user as a "technician", or the like.
E2, determining the display priority of the maintenance information form according to the identity information of the user, wherein the maintenance information form comprises: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems. Specifically, the correspondence relationship between the display priorities of the different identity information and the forms of the maintenance information is preset, for example, the form of the maintenance information corresponding to the identity information of "student" is "maintenance classroom", that is, when the user is a student, the display priority of "maintenance classroom" is the highest.
After determining the display priority of the form of the maintenance information, the matched maintenance information can be displayed by adopting the following 2 conditions:
(1) and for the maintenance information corresponding to different fault names, only displaying the maintenance information corresponding to the form with the highest display priority, and displaying the maintenance information after sequencing according to the fault probability during displaying.
(2) And displaying the maintenance information corresponding to different fault names in all forms, wherein when displaying, the maintenance information corresponding to the same fault name is sorted according to the display priority of the forms and then displayed, and the maintenance information corresponding to different fault names is sorted according to the fault probability and then displayed.
For the case (1), the step D3 specifically includes:
and determining the maintenance information corresponding to the form of the maintenance information with the highest display priority, and displaying the determined maintenance information after sequencing according to the corresponding failure probability.
Because the form of the maintenance information which is preferentially displayed is related to the identity information of the user, the maintenance information displayed by the computer equipment is more matched with the identity of the user, and the accuracy of the displayed maintenance information is improved. And only the maintenance information with the highest display priority corresponding to each fault name is displayed, so that the maintenance information required by positioning in the maintenance information in the same form can be positioned by a user.
For example, if the searched maintenance information has 3 types, i.e., a maintenance case, a maintenance manual, and a maintenance classroom, and the user identification information indicates that the user is a student, the maintenance information corresponding to the maintenance classroom is screened from the searched maintenance information, the maintenance information is sorted from high to low according to the failure probability of the maintenance information corresponding to the maintenance classroom, and the sorted maintenance information is displayed.
For the case (2), the step D3 specifically includes:
and sequencing the maintenance information corresponding to different fault names according to the fault probability to obtain a first sequencing result. And then, in the first sequencing result, the maintenance information corresponding to each fault name is subjected to re-sequencing on the maintenance information in different forms according to the display priority, so that a second sequencing result is obtained and displayed.
For example, assuming that the failure name determined from the vehicle component parts is failure name 1 and failure name 2, the failure probability corresponding to the failure name 1 is 80%, and the failure probability corresponding to the failure name 2 is 70%. The maintenance information corresponding to the failure name 1 has 2 forms: service case 1 and service manual 1. The maintenance information corresponding to the failure name 2 has 3 forms: a maintenance manual 2, a maintenance classroom 2 and an intelligent maintenance system 2. The display priority of the form of the maintenance information determined according to the identity information of the user is as follows according to the sequence from high to low: maintenance cases, maintenance manuals, intelligent maintenance systems and maintenance classrooms. Therefore, the maintenance information corresponding to different fault names is sequenced according to the fault probability, and the obtained first sequencing result is as follows: maintenance information corresponding to the failure name 1 and maintenance information corresponding to the failure name 2. In the first sequencing result, aiming at the maintenance information corresponding to each fault name, the different forms of maintenance information are reordered according to the display priority, and the obtained second sequencing result is as follows: maintenance case 1, maintenance manual 1; a maintenance manual 2, an intelligent maintenance system 2 and a maintenance classroom 2.
In some embodiments, to further improve the accuracy of the pushed repair information, after step D2, the method includes:
and F1, obtaining the access entrance information of the user.
Specifically, after the user logs in through the account, at least 2 access entries are presented on the display page, and the number of the access entries is smaller than or equal to the number of the maintenance information. In this step, the access entry information is information indicating an access entry.
F2, determining the display priority of the maintenance information form according to the access entrance information, wherein the maintenance information form comprises: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
In this practical situation, the user may select a corresponding access entry to access according to the query requirement of the user. For example, if the user accesses from the access entry "service data query", it indicates that the query requirement of the user is the maintenance information in the form of the "service manual" that is desired to be queried, and at this time, the display priority in the form of the "service manual" is set to be the highest; assuming that the user accesses from the access portal of "service case query", it indicates that the query requirement of the user is the service information desired to be queried in the form of "service case", and at this time, the display priority in the form of "service case" is set to be the highest.
After determining the display priority of the form of the maintenance information, the matched maintenance information can be displayed by adopting the following 2 conditions:
1) and for the maintenance information corresponding to different fault names, only displaying the maintenance information corresponding to the form with the highest display priority, and displaying the maintenance information after sequencing according to the fault probability during displaying.
2) And displaying the maintenance information corresponding to different fault names in all forms, wherein when displaying, the maintenance information corresponding to the same fault name is sorted according to the display priority of the forms and then displayed, and the maintenance information corresponding to different fault names is sorted according to the fault probability and then displayed.
For case 1), step D3 specifically includes:
and determining the maintenance information corresponding to the form of the maintenance information with the highest display priority, and displaying the determined maintenance information after sequencing according to the corresponding failure probability.
Specifically, the correspondence between the access entry information and the display priority is set in advance.
In the embodiment, the display priority in the form of the maintenance information is divided in combination with the access entry information of the user, so that the accuracy of the obtained display priority can be improved. For example, if the technician enters from the access entry of "service data inquiry", the display priority of the service information corresponding to the form of "service manual" is set to be the highest.
For case 2), step D3 specifically includes:
and sequencing the maintenance information corresponding to different fault names according to the fault probability to obtain a first sequencing result. And then, in the first sequencing result, the maintenance information corresponding to each fault name is subjected to re-sequencing on the maintenance information in different forms according to the display priority, so that a second sequencing result is obtained and displayed.
In order to more clearly describe the maintenance information obtaining method provided in the embodiment of the present application, a specific application scenario is described below.
The server (or the terminal device) recognizes the shape of the vehicle part in the target picture, compares the shape of the vehicle part with the data of the established parts library, and determines that the vehicle part is the ignition coil of the chevrolet kohleri (four ignition devices of the chevrolet kohleri are connected together, the design is very characteristic and different from the ignition coils of other vehicle types, and the other vehicle types are all independent from each other).
After the vehicle part is identified to be the ignition coil of the schofland colutz, the server (or the terminal equipment) searches cases and corresponding maintenance information forms (such as maintenance cases, maintenance manuals, maintenance classrooms and intelligent maintenance systems) according to the extracted information of the ignition coil of the schofland colutz, and finally displays the searched maintenance information.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Example three:
fig. 3 shows a block diagram of a maintenance information acquiring apparatus according to a third embodiment of the present application, which corresponds to the maintenance information acquiring methods described in the first and second embodiments, and only shows the parts related to the third embodiment of the present application for convenience of description.
Referring to fig. 3, the maintenance information acquisition apparatus 3 includes: a picture acquisition module 31, a picture identification module 32, a determination module 33, and a matching module 34. Wherein:
and a picture acquiring module 31, configured to acquire a target picture.
And the picture identification module 32 is used for identifying the characteristic information of the vehicle part from the target picture.
And the determining module 33 is configured to determine a model brand and a name of the vehicle component according to the characteristic information of the vehicle component.
And the matching module 34 is configured to match corresponding maintenance information from a preset database according to the model brand and name of the vehicle component.
In the embodiment of the application, the maintenance information is obtained by identifying the target picture, that is, the user does not need to input any character information, so that the maintenance information corresponding to the picture can be obtained as long as the user uploads the picture containing the vehicle part, and the maintenance information corresponding to the vehicle part can be conveniently obtained.
In some embodiments, the picture identification module 32 is specifically configured to:
and recognizing the shape of the vehicle part from the target picture.
Accordingly, the determining module 33 is specifically configured to:
and determining the model brand and the name of the vehicle part according to the shape of the vehicle part.
In some embodiments, the picture identification module 32 is specifically configured to:
and recognizing the shape of the vehicle part and a vehicle mark from the target picture.
Accordingly, the determining module 33 is specifically configured to:
and determining the brand and name of the vehicle part according to the shape of the vehicle part and the vehicle mark.
Optionally, the maintenance information acquiring apparatus 3 further includes:
and the vehicle identification code acquisition module is used for acquiring the vehicle identification code of the vehicle where the vehicle part is located if the model brand of the vehicle part cannot be determined according to the shape of the vehicle part and the vehicle mark.
And the vehicle type brand determining module is used for determining the vehicle type brand of the vehicle part according to the vehicle identification code.
Optionally, the matching module 34 comprises:
and the fault probability determining unit is used for determining a corresponding fault name and a fault probability corresponding to the fault name according to the model brand and the name of the vehicle part.
And the maintenance information matching unit is used for matching corresponding maintenance information from the database based on the fault name.
And the maintenance information display unit is used for displaying the maintenance information after sequencing according to the corresponding fault probability.
Optionally, the maintenance information acquiring apparatus 3 further includes:
and the identity information acquisition module is used for acquiring the identity information of the user.
A first display priority determination module, configured to determine a display priority of a form of the maintenance information according to the identity information of the user, where the form of the maintenance information includes: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
Optionally, the maintenance information display unit is specifically configured to:
and determining the maintenance information corresponding to the form of the maintenance information with the highest display priority, and displaying the determined maintenance information after sequencing according to the corresponding failure probability.
Optionally, the maintenance information display unit is specifically configured to:
and sequencing the maintenance information corresponding to different fault names according to the fault probability to obtain a first sequencing result. And then, in the first sequencing result, the maintenance information corresponding to each fault name is subjected to re-sequencing on the maintenance information in different forms according to the display priority, so that a second sequencing result is obtained and displayed.
Optionally, the maintenance information acquiring apparatus 3 further includes:
and the access entrance information acquisition module is used for acquiring the access entrance information of the user.
A second display priority determination module, configured to determine a display priority of a form of the maintenance information according to the access entry information, where the form of the maintenance information includes: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
In some embodiments, the maintenance information acquisition device 3 further includes:
and the position information acquisition module is used for acquiring position information corresponding to the position of the vehicle part in the vehicle.
Correspondingly, the determining module 33 is specifically configured to: and determining the model brand and the name of the vehicle part according to the shape and the position information of the vehicle part.
In some embodiments, the determining module 33 is specifically configured to: and determining the model brand and name of the vehicle part according to the shape, the vehicle mark and the position information of the vehicle part.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
Example four
Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 4, the computer device 4 of this embodiment includes: at least one processor 40 (only one processor is shown in fig. 4), a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, the processor 40 implementing the steps in any of the various method embodiments described above when executing the computer program 42:
acquiring a target picture;
identifying characteristic information of the vehicle part from the target picture;
determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part;
and matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
Optionally, the identifying the feature information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the model brand and the name of the vehicle part according to the shape of the vehicle part.
Optionally, the identifying the feature information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part and a vehicle mark from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the brand and name of the vehicle part according to the shape of the vehicle part and the vehicle mark.
Optionally, the method further comprises:
if the model and the brand of the vehicle part cannot be determined according to the shape of the vehicle part and the vehicle mark, acquiring a vehicle identification code of a vehicle where the vehicle part is located;
and determining the model and brand of the vehicle part according to the vehicle identification code.
Optionally, the matching of the corresponding maintenance information from a preset database according to the model brand and the name of the vehicle component includes:
determining a corresponding fault name and a fault probability corresponding to the fault name according to the model brand and the name of the vehicle part;
matching corresponding maintenance information from the database based on the fault name;
and sequencing the maintenance information according to the corresponding fault probability and then displaying the maintenance information.
Optionally, after the matching of the corresponding maintenance information from the database based on the fault name, the method includes:
acquiring identity information of a user;
determining the display priority of the maintenance information form according to the identity information of the user, wherein the maintenance information form comprises: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
Optionally, after the matching of the corresponding maintenance information from the database based on the fault name, the method includes:
acquiring access entry information of a user;
determining a display priority of a form of the maintenance information according to the access entry information, the form of the maintenance information including: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
The computer device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The computer device may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of the computer device 4 and does not constitute a limitation of the computer device 4, and may include more or less components than those shown, or combine certain components, or different components, such as input output devices, network access devices, etc.
The Processor 40 may be a Central Processing Unit (CPU), and the Processor 40 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may in some embodiments be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. The memory 41 may also be an external storage device of the computer device 4 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the computer device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the computer device 4. The memory 41 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present application further provides a network device, where the network device includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the various method embodiments described above when executing the computer program.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the above-mentioned method embodiments.
The embodiments of the present application provide a computer program product, which when running on a mobile terminal, enables the mobile terminal to implement the steps in the above method embodiments when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/communication device, a recording medium, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), an electrical carrier wave signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A maintenance information acquisition method is characterized by comprising the following steps:
acquiring a target picture;
identifying characteristic information of the vehicle part from the target picture;
determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part;
and matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
2. The maintenance information acquisition method according to claim 1, wherein the identifying characteristic information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the model brand and the name of the vehicle part according to the shape of the vehicle part.
3. The maintenance information acquisition method according to claim 1, wherein the identifying characteristic information of the vehicle component from the target picture includes:
recognizing the shape of the vehicle part and a vehicle mark from the target picture;
correspondingly, the determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part comprises the following steps:
and determining the brand and name of the vehicle part according to the shape of the vehicle part and the vehicle mark.
4. The maintenance information acquisition method according to claim 3, further comprising:
if the model and the brand of the vehicle part cannot be determined according to the shape of the vehicle part and the vehicle mark, acquiring a vehicle identification code of a vehicle where the vehicle part is located;
and determining the model and brand of the vehicle part according to the vehicle identification code.
5. The method for obtaining maintenance information according to claim 1, wherein the matching of the corresponding maintenance information from a preset database according to the model brand and name of the vehicle component includes:
determining a corresponding fault name and a fault probability corresponding to the fault name according to the model brand and the name of the vehicle part;
matching corresponding maintenance information from the database based on the fault name;
and sequencing the maintenance information according to the corresponding fault probability and then displaying the maintenance information.
6. The maintenance information acquisition method according to claim 5, comprising, after the matching out of the corresponding maintenance information from the database based on the failure name,:
acquiring identity information of a user;
determining the display priority of the maintenance information form according to the identity information of the user, wherein the maintenance information form comprises: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
7. The maintenance information acquisition method according to claim 5, comprising, after the matching out of the corresponding maintenance information from the database based on the failure name,:
acquiring access entry information of a user;
determining a display priority of a form of the maintenance information according to the access portal, the form of the maintenance information including: maintenance cases, maintenance manuals, maintenance classes and intelligent maintenance systems.
8. A maintenance information acquisition apparatus characterized by comprising:
the image acquisition module is used for acquiring a target image;
the picture identification module is used for identifying the characteristic information of the vehicle part from the target picture;
the determining module is used for determining the model brand and the name of the vehicle part according to the characteristic information of the vehicle part;
and the matching module is used for matching corresponding maintenance information from a preset database according to the model brand and the name of the vehicle part.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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