CN113848862A - Diagnostic software acquisition method and device, communication equipment and storage medium - Google Patents
Diagnostic software acquisition method and device, communication equipment and storage medium Download PDFInfo
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- CN113848862A CN113848862A CN202111223228.3A CN202111223228A CN113848862A CN 113848862 A CN113848862 A CN 113848862A CN 202111223228 A CN202111223228 A CN 202111223228A CN 113848862 A CN113848862 A CN 113848862A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The application is applicable to the technical field of computers, and provides a diagnostic software acquisition method, a diagnostic software acquisition device, communication equipment and a storage medium, wherein the diagnostic software acquisition method comprises the following steps: receiving a diagnosis software acquisition instruction sent by diagnosis equipment, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle; determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction; determining target diagnostic software data required to be downloaded by the diagnostic equipment according to the vehicle information and the configured diagnostic software information; transmitting the target diagnostic software data to the diagnostic device. The embodiment of the application can improve the acquisition efficiency of the diagnostic software.
Description
Technical Field
The present application belongs to the field of computer technologies, and in particular, to a diagnostic software acquisition method, an apparatus, a communication device, and a storage medium.
Background
At present, with the development of vehicle diagnosis technology, diagnostic software for diagnosing vehicles has more and more diagnostic functions, and generally, the implementation of the diagnostic software functions corresponding to different vehicle types is also different. In the existing method, a unified diagnostic software package containing a plurality of diagnostic software functional modules of different vehicle types is usually set, and the diagnostic device usually downloads the diagnostic software package containing all the diagnostic functional modules to realize the subsequent diagnostic function.
However, the method that needs to download a whole diagnostic software package has the defect of redundant acquisition of diagnostic software data, which results in low acquisition efficiency of diagnostic software and poor user experience.
Disclosure of Invention
In view of this, embodiments of the present application provide a vehicle maintenance method, a communication device, and a storage medium, so as to solve the problem in the prior art how to efficiently and accurately acquire diagnostic software.
A first aspect of an embodiment of the present application provides a diagnostic software obtaining method, including:
receiving a diagnosis software acquisition instruction sent by diagnosis equipment, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle;
determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction;
determining target diagnostic software data required to be downloaded by the diagnostic equipment according to the vehicle information and the configured diagnostic software information;
transmitting the target diagnostic software data to the diagnostic device.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, target diagnostic software data that needs to be downloaded by the diagnostic device includes:
and determining data of the diagnosis software matched with the vehicle configuration information of the target vehicle as target diagnosis software data according to the vehicle information and the configured diagnosis software information.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment at present according to the configured diagnostic software information, determining data of the diagnostic software corresponding to the first target vehicle type as target diagnostic software data; the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type cannot be inquired, then:
determining data of diagnostic software corresponding to the second target vehicle type as target diagnostic software data; the second target vehicle type is the other vehicle type which is determined according to the vehicle information and is consistent with the vehicle configuration information of the target vehicle.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type and the second target vehicle type cannot be inquired, then:
determining vehicle configuration information of the target vehicle according to the vehicle information;
obtaining a preset number of vehicle types with highest similarity with the vehicle configuration information of the target vehicle as a third target vehicle type;
determining a diagnosis software module matched with an ECU (electronic control unit) system of the target vehicle in diagnosis software of each third target vehicle type according to the vehicle configuration information of each third target vehicle type and the vehicle configuration information of the target vehicle;
and determining the target diagnostic software data according to each diagnostic software module.
Optionally, the acquiring a preset number of vehicle types with the highest similarity to the vehicle configuration information of the target vehicle as a third target vehicle type includes:
determining a first feature vector corresponding to the target vehicle according to the vehicle configuration information of the target vehicle;
respectively calculating cosine similarity between the first feature vector and each pre-stored second feature vector, determining a preset number of second feature vectors with the maximum cosine similarity with the first feature vector as target feature vectors, and taking the vehicle type corresponding to the target feature vectors as a third target vehicle type; and the second characteristic vector is determined in advance according to vehicle configuration information corresponding to a pre-stored vehicle type.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
determining vehicle configuration information of a target vehicle according to the vehicle information;
if the configured diagnostic software exists in the diagnostic equipment currently according to the configured diagnostic software information, determining a target differential diagnostic module according to the vehicle configuration information and the vehicle configuration information corresponding to the configured diagnostic software; the target differential diagnostic module is a diagnostic software module required by the target vehicle and not present in the configured diagnostic software;
and determining the target diagnosis software data according to the target difference diagnosis module.
A second aspect of an embodiment of the present application provides a diagnostic software acquisition apparatus, including:
the diagnostic device comprises an instruction receiving unit, a diagnostic software acquiring unit and a diagnostic software acquiring unit, wherein the instruction receiving unit is used for receiving a diagnostic software acquiring instruction sent by the diagnostic device, and the diagnostic software acquiring instruction comprises vehicle information of a target vehicle;
the configured diagnostic software information determining unit is used for determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction;
the target diagnosis software data determining unit is used for determining target diagnosis software data required to be downloaded by the diagnosis equipment according to the vehicle information and the configured diagnosis software information;
a transmission unit for transmitting the target diagnostic software data to the diagnostic device.
Optionally, the target diagnostic software data determining unit is specifically configured to determine, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data.
Optionally, the target diagnostic software data determining unit is specifically configured to determine, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information, data of the diagnostic software corresponding to the first target vehicle type as target diagnostic software data; the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information.
Optionally, the target diagnostic software data determining unit is specifically configured to, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type cannot be queried, perform: determining data of diagnostic software corresponding to the second target vehicle type as target diagnostic software data; the second target vehicle type is the other vehicle type which is determined according to the vehicle information and is consistent with the vehicle configuration information of the target vehicle.
Optionally, the target diagnostic software data determining unit is specifically configured to, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type and the second target vehicle type cannot be queried, perform: determining vehicle configuration information of the target vehicle according to the vehicle information; obtaining a preset number of vehicle types with highest similarity with the vehicle configuration information of the target vehicle as a third target vehicle type; determining a diagnosis software module matched with an ECU (electronic control unit) system of the target vehicle in diagnosis software of each third target vehicle type according to the vehicle configuration information of each third target vehicle type and the vehicle configuration information of the target vehicle; and determining the target diagnostic software data according to each diagnostic software module.
Optionally, in the target diagnosis software data determining unit, the acquiring a preset number of vehicle types with the highest similarity to the vehicle configuration information of the target vehicle as a third target vehicle type includes: determining a first feature vector corresponding to the target vehicle according to the vehicle configuration information of the target vehicle; respectively calculating cosine similarity between the first feature vector and each pre-stored second feature vector, determining a preset number of second feature vectors with the maximum cosine similarity with the first feature vector as target feature vectors, and taking the vehicle type corresponding to the target feature vectors as a third target vehicle type; and the second characteristic vector is determined in advance according to vehicle configuration information corresponding to a pre-stored vehicle type.
Optionally, the target diagnosis software data determining unit is specifically configured to determine vehicle configuration information of the target vehicle according to the vehicle information; if the configured diagnostic software exists in the diagnostic equipment currently according to the configured diagnostic software information, determining a target differential diagnostic module according to the vehicle configuration information and the vehicle configuration information corresponding to the configured diagnostic software; the target differential diagnostic module is a diagnostic software module required by the target vehicle and not present in the configured diagnostic software; and determining the target diagnosis software data according to the target difference diagnosis module. A third aspect of embodiments of the present application provides a communication device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, which when executed by the processor causes the communication device to implement the steps of the diagnostic software acquisition method as described.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes a communication device to implement the steps of the diagnostic software acquisition method as described.
A fifth aspect of embodiments of the present application provides a computer program product, which, when run on a communication device, causes the communication device to execute the diagnostic software acquisition method of any one of the above first aspects.
Compared with the prior art, the embodiment of the application has the advantages that: in the embodiment of the application, a diagnosis software acquisition instruction sent by a diagnosis device is received, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle; acquiring configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction; and then, determining target diagnosis software data which needs to be downloaded by the diagnosis equipment at present according to the vehicle information and the configured diagnosis software information so as to send the target diagnosis software data to the diagnosis equipment. The vehicle information of the target vehicle and the configured diagnostic software information of the diagnostic equipment contained in the diagnostic software acquisition instruction can be used for accurately determining the target diagnostic software data required to be downloaded by the diagnostic equipment currently, so that compared with the existing mode of directly downloading a whole diagnostic software package, the redundant acquisition of the diagnostic software data can be reduced, the acquisition efficiency of the diagnostic software is improved, and the user experience is further improved.
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 schematic view of an application scenario corresponding to a diagnostic software acquisition method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating an implementation of a diagnostic software acquisition method according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a diagnostic software acquisition device according to an embodiment of the present application;
fig. 4 is a schematic diagram of a communication device provided in an 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.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
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 is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further 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.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In addition, in the description of the present application, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
At present, with the development of vehicle diagnosis technology, diagnostic software for diagnosing vehicles has more and more diagnostic functions, and generally, the implementation of the diagnostic software functions corresponding to different vehicle types is also different. In the existing method, a unified diagnostic software package containing diagnostic software functional modules of a plurality of different vehicle types is usually set, and a whole complete diagnostic software package is usually downloaded by a diagnostic device to realize subsequent diagnostic functions. However, the method that needs to download a whole diagnostic software package has the defect of redundant acquisition of diagnostic software information, which results in low acquisition efficiency of diagnostic software and poor user experience.
In order to solve the technical problem, an embodiment of the present application provides a diagnostic software obtaining method, an apparatus, a communication device, and a storage medium, including: receiving a diagnosis software acquisition instruction sent by diagnosis equipment, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle; determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction; determining target diagnostic software data required to be downloaded by the diagnostic equipment according to the vehicle information and the configured diagnostic software information; transmitting the target diagnostic software data to the diagnostic device.
The vehicle information of the target vehicle contained in the diagnostic software acquisition instruction and the configured diagnostic software information of the diagnostic equipment can be used for accurately determining the target diagnostic software data required to be downloaded by the diagnostic equipment currently, so that compared with the existing mode of directly downloading a whole diagnostic software package, the redundant acquisition of the diagnostic software can be reduced, the acquisition efficiency of the diagnostic software is improved, and the user experience is further improved.
Fig. 1 exemplarily provides an application scenario diagram corresponding to a diagnostic software obtaining method according to an embodiment of the present application, and includes a diagnostic device 11 and a server 12 that establishes a communication connection with the diagnostic device.
The first embodiment is as follows:
fig. 2 is a schematic flowchart illustrating a diagnostic software obtaining method provided in an embodiment of the present application, where an execution subject of the diagnostic software obtaining method is a server that establishes a communication connection with a diagnostic device, and details are as follows:
in S201, a diagnostic software acquisition instruction sent by a diagnostic device is received, the diagnostic software acquisition instruction including vehicle information of a target vehicle.
In the embodiment of the application, the diagnostic software acquisition instruction is an instruction generated by operating the diagnostic equipment when a user needs to download the diagnostic software for the diagnostic equipment. After the diagnostic software acquisition instruction is generated, the diagnostic software acquisition instruction is sent to a server so as to start a diagnostic software acquisition process.
The diagnosis software in the embodiment of the application acquires the vehicle information of the target vehicle carried by the instruction. The target vehicle refers to a vehicle that the diagnosis device currently needs to diagnose. The Vehicle information of the target Vehicle may include a Vehicle Identification Number (VIN) and/or Vehicle type icon information of the target Vehicle, and the like.
In one embodiment, the diagnostic software obtains instructions carrying vehicle information generated for a user to input the vehicle information in the diagnostic device. In another embodiment, the target vehicle is currently in communication connection with the diagnostic device, and when the user presses a preset key, the diagnostic device reads the vehicle identification number of the target vehicle and generates a diagnostic acquisition instruction carrying vehicle information according to the vehicle identification number.
In S202, configured diagnostic software information of the diagnostic device is determined according to the diagnostic software acquisition instruction.
In one embodiment, after the diagnostic software obtaining instruction is obtained, the server may send a configured information obtaining instruction to the diagnostic device to obtain configured diagnostic software information returned by the diagnostic device. In another embodiment, after acquiring the diagnostic software acquisition instruction, the server may query the configured diagnostic software information corresponding to the diagnostic device from the diagnostic device software configuration record pre-stored in the server according to the physical address information of the diagnostic device.
In this embodiment, the configured diagnostic software information may include the number of currently configured diagnostic software of the diagnostic device, and vehicle type information and vehicle configuration information corresponding to the configured diagnostic software. Illustratively, the vehicle type information may be a "chinese honor vehicle type", "english famous vehicle type", "mass vehicle type", or the like. The vehicle configuration information may include, for example, the country of the vehicle, the year of shipment, the model configuration of each Electronic Control Unit (ECU) of the vehicle, such as an engine, a steering wheel, and a transmission.
In S203, target diagnostic software data required to be downloaded by the diagnostic device is determined according to the vehicle information and the configured diagnostic software information.
After the current vehicle information and the configured diagnosis software information are acquired, diagnosis software which is matched with the vehicle information of the target vehicle and is not configured currently by the diagnosis equipment is acquired from a diagnosis software library stored by a server as target diagnosis software data which is required to be downloaded currently by the diagnosis equipment.
In S204, the target diagnostic software data is transmitted to the diagnostic device.
After determining the target diagnostic software data, the target diagnostic software data may be transmitted to the diagnostic device over a wireless communication network.
In one embodiment, after the target diagnostic software data is sent to the diagnostic device, download feedback information returned by the diagnostic device is received. If the download feedback information indicates that the current diagnostic device fails to install the diagnostic software, it indicates that there may be download loss of part of data of the current possible diagnostic software, and at this time, the step S202 is returned to be executed again, and the acquisition of the diagnostic software is continued.
In the embodiment of the application, a diagnosis software acquisition instruction sent by a diagnosis device is received, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle; acquiring configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction; and then, determining target diagnosis software data which needs to be downloaded by the diagnosis equipment at present according to the vehicle information and the configured diagnosis software information so as to send the target diagnosis software data to the diagnosis equipment. The vehicle information of the target vehicle and the configured diagnostic software information of the diagnostic equipment contained in the diagnostic software acquisition instruction can be used for accurately determining the target diagnostic software data required to be downloaded by the diagnostic equipment currently, so that compared with the existing mode of directly downloading a whole diagnostic software package, the redundant acquisition of the diagnostic software data can be reduced, the acquisition efficiency of the diagnostic software is improved, and the user experience is further improved.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, target diagnostic software data that needs to be downloaded by the diagnostic device includes:
and according to the vehicle information and the configured diagnosis software information, determining diagnosis software corresponding to the vehicle type matched with the vehicle configuration information of the target vehicle as target diagnosis software data.
In the embodiment of the present application, the vehicle configuration information at least includes model configuration information of each ECU system of the vehicle, and may further include information such as country, factory year, seat, color, and the like of the vehicle. Since each diagnostic software module of the diagnostic software is generally configured correspondingly according to the ECU system of the vehicle, the required target diagnostic software data of the current target vehicle can be accurately determined according to the vehicle configuration information including the model configuration information of each ECU system.
Specifically, the vehicle identification number of the target vehicle may be parsed to determine the vehicle configuration information of the current target vehicle. And each diagnosis software prestored in the server carries the corresponding vehicle type information and the vehicle configuration information respectively. After the vehicle configuration information of the target vehicle is determined, comparing the vehicle configuration information of the target vehicle, the vehicle configuration information corresponding to the configured diagnosis software in the configured diagnosis software information, and the vehicle configuration information of each diagnosis software prestored in the server, and determining diagnosis software data which is matched with the vehicle configuration information of the target vehicle and does not exist in the configured diagnosis software from the server as target diagnosis software data.
In the embodiment of the application, because each diagnostic software module of the diagnostic software is usually set correspondingly according to different vehicle configuration information, data of the diagnostic software which is determined according to the vehicle information of the target vehicle and the configured diagnostic software information and is matched with the vehicle configuration information of the target vehicle can be used as target diagnostic software data required for accurately diagnosing the target vehicle, namely accurate acquisition of the diagnostic software is realized through the vehicle configuration information, redundant software data is reduced, and a subsequent diagnostic device can accurately realize a diagnostic function corresponding to the vehicle configuration of the target vehicle according to the acquired target diagnostic software data.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment at present according to the configured diagnostic software information, determining data of the diagnostic software corresponding to the first target vehicle type as target diagnostic software data; the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information.
In the embodiment of the application, the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information. In one embodiment, the vehicle information is a vehicle identification code of the target vehicle, and the server stores a correspondence between the vehicle identification code and the vehicle type in advance, and according to the correspondence, a first target vehicle type of the target vehicle can be determined. In another embodiment, the vehicle information includes both the vehicle identification code and the vehicle type information of the target vehicle, so that the vehicle type information can be directly analyzed from the vehicle information at this time to determine the first target vehicle type of the target vehicle.
In the embodiment of the application, a preset vehicle type diagnosis software database exists in the server, and data (for example, data such as an installation package of diagnosis software, a dynamic link library and the like) of diagnosis software suitable for diagnosing the vehicle type corresponding to each vehicle type is stored in the vehicle type diagnosis software database. When the number of configured diagnostic software of the current diagnostic equipment is determined to be 0 according to the configured diagnostic software information, the diagnostic equipment is determined not to exist the configured diagnostic software currently. At this time, after a first target vehicle type of the target vehicle is determined according to the vehicle information of the target vehicle, a pre-stored vehicle type diagnosis software database is inquired, and data of diagnosis software stored corresponding to the first target vehicle type is obtained from the pre-stored vehicle type diagnosis software database and is used as target diagnosis software data.
For example, assuming that the information of the current target vehicle is the vehicle identification code "LSJW 74U60HZ 021674", the vehicle identification code is analyzed to determine that the vehicle type of the current target vehicle is the china nabowery vehicle type, and at this time, the data of the diagnostic software corresponding to the china nabowery vehicle type may be queried from the vehicle type diagnostic software database as the target diagnostic software data.
In the embodiment of the application, when the configured diagnosis software information indicates that the diagnosis device does not have the configured diagnosis software currently and the pre-stored data of the diagnosis software corresponding to the vehicle type (namely, the first target vehicle type) of the target vehicle can be inquired currently, the data of the diagnosis software corresponding to the first target vehicle type is directly used as the data of the target diagnosis software, so that the complete diagnosis software data corresponding to the target vehicle can be directly and quickly acquired, and the acquisition efficiency of the diagnosis software is improved.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type cannot be inquired, then:
determining data of diagnostic software corresponding to the second target vehicle type as target diagnostic software data; the second target vehicle type is the other vehicle type which is determined according to the vehicle information and is consistent with the vehicle configuration information of the target vehicle.
In the embodiment of the application, when the number of the diagnosis software configured by the current diagnosis equipment is determined to be 0 according to the configured diagnosis software information, but the diagnosis software stored corresponding to the first target vehicle type of the target vehicle cannot be found in the vehicle type diagnosis software database of the server, whether a second target vehicle type corresponding to the first target vehicle type exists is found. The second target vehicle type is another vehicle type preset in advance and consistent with the vehicle configuration information of the target vehicle. In one embodiment, the server prestores a vehicle type comparison table, and the vehicle type comparison table stores various vehicle types with consistent vehicle configuration information. And when the diagnosis software corresponding to the first target vehicle type cannot be searched, inquiring a second target vehicle type consistent with the vehicle configuration information of the first target vehicle type from the vehicle type comparison table. For example, if it is determined that the first target vehicle type corresponding to the current target vehicle is the english famous vehicle type according to the vehicle identification code of the target vehicle, the "china honor vehicle type" consistent with the vehicle configuration information of the english famous vehicle type "may be found as the second target vehicle type by querying the vehicle type comparison table.
After the second target vehicle type is determined, whether diagnosis software corresponding to the second target vehicle type exists is searched in a vehicle type diagnosis software database preset by a server, and if the diagnosis software corresponding to the second target vehicle type exists, data of the diagnosis software corresponding to the second target vehicle type is obtained to serve as current target diagnosis software data.
In the embodiment of the application, when the first target vehicle type does not exist, the second target vehicle type consistent with the vehicle configuration information of the first target vehicle type can be searched, and the data of the diagnosis software corresponding to the second target vehicle type is obtained as the data of the target diagnosis software, so that the complete diagnosis software data of other vehicle types can be accurately and identically configured according to the vehicle configuration information to serve as the data of the target diagnosis software, and the obtaining efficiency of the diagnosis software is improved.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type and the second target vehicle type cannot be inquired, then:
determining vehicle configuration information of the target vehicle according to the vehicle information;
obtaining a preset number of vehicle types with highest similarity with the vehicle configuration information of the target vehicle as a third target vehicle type;
determining a diagnosis software module matched with an ECU (electronic control unit) system of the target vehicle in diagnosis software of each third target vehicle type according to the vehicle configuration information of each third target vehicle type and the vehicle configuration information of the target vehicle;
and determining the target diagnostic software data according to each diagnostic software module.
In the embodiment of the application, a vehicle type diagnosis software database preset by a server stores diagnosis software data corresponding to a plurality of pre-stored vehicle types, and specifically, for each pre-stored vehicle type, the vehicle type diagnosis software database stores a corresponding relationship among the vehicle type, vehicle configuration information corresponding to the vehicle type, and corresponding diagnosis software data.
In the embodiment of the application, when it is determined that the configured diagnostic software does not exist in the diagnostic device at present according to the acquired configured diagnostic software information of the diagnostic device, and the diagnostic software corresponding to a first target vehicle type of the target vehicle cannot be inquired, or the diagnostic software corresponding to a second target vehicle type consistent with the vehicle configuration information of the first target vehicle type cannot be inquired, the vehicle configuration information of the target vehicle is obtained through analysis according to the vehicle information.
After the vehicle configuration information of the target vehicle is determined, a preset number (for example, 5) of vehicle types having the highest similarity with the vehicle configuration information of the target vehicle is acquired from a preset vehicle type diagnosis software database as a third target vehicle type.
In this embodiment of the application, the prestored diagnostic software of the third target vehicle type may be divided into a plurality of diagnostic software modules for diagnosing the corresponding ECU systems according to the ECU systems. And for each third target vehicle type, comparing and determining the ECU system with the same configuration as the target vehicle according to the vehicle configuration information of the third target vehicle type and the vehicle configuration information of the target vehicle, and acquiring a diagnosis software module corresponding to the ECU system with the same configuration from diagnosis software of the third target vehicle type as a diagnosis software module matched with the target vehicle.
And then, splicing and combining all the diagnostic software modules to obtain the data of the diagnostic software, namely the data of the target diagnostic software.
In the embodiment of the application, when the data of the diagnosis software corresponding to the first target vehicle type and the second target vehicle type does not exist, a preset number of third target vehicle types with high similarity to the vehicle configuration information of the target vehicle can be obtained according to the vehicle configuration information of the target vehicle, each diagnosis software module is obtained from the diagnosis software of each third target vehicle type, and the target diagnosis software data is obtained through splicing.
Optionally, the acquiring a preset number of vehicle types with the highest similarity to the vehicle configuration information of the target vehicle as a third target vehicle type includes:
determining a first feature vector corresponding to the target vehicle according to the vehicle configuration information of the target vehicle;
determining a second characteristic vector corresponding to each pre-stored vehicle type according to the vehicle configuration information of each pre-stored vehicle type;
respectively calculating cosine similarity of the first feature vector and each second feature vector, determining a preset number of second feature vectors with the maximum cosine similarity of the first feature vectors as target feature vectors, and taking the vehicle type corresponding to the target feature vectors as a third target vehicle type.
In the embodiment of the application, for the vehicle configuration information of the target vehicle, each feature included in the vehicle configuration information may be subjected to a multi-dimensional (multi-hot) coding principle to obtain a first feature vector corresponding to the vehicle configuration information. For example, the characteristics included in the vehicle configuration information are initially expressed as: { [ a, b, c ], [ b, d ], e }, then one-dimensional vector [ a, b, c, d, e ], which is actually a five-dimensional array, can be set by one-hot encoding, and then the initial features can be converted into corresponding arrays according to the one-dimensional vector: { [1,1,1,0,0], [0,1,0,1,0], [0,0,0, 1] } is taken as the first feature vector. For example, if the vehicle information is a vehicle identification number, the configuration information of the vehicle may be obtained through analysis of a comparison table between the VIN code field and the configuration information shown in table 1:
table 1:
for example, according to the vehicle configuration information corresponding to the VIN code obtained in table 1, the corresponding first feature vector may be: [1,1,1,1,1,0,0,0,0,0,0,1,1,1, 1 … 1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1, 1]
Similarly, for the vehicle configuration information corresponding to each pre-stored vehicle type of the server, when the vehicle configuration information passes through the multi-dimensional coding mode in advance, second feature vectors corresponding to each pre-stored vehicle type are generated.
After the first feature vector is obtained, the cosine similarity between the first feature vector and each pre-stored second feature vector is respectively calculated. If the first feature vector is a and the second feature vector is B, the method can be according to the formula: and calculating the cosine similarity between the first feature vector and the second feature vector according to cos theta ═ A × B/(| A | | B |). And when the included angle theta is smaller and cos theta is closer to 1, the similarity between the first feature vector and the second feature vector is higher.
In an embodiment, if a second feature vector with a cosine similarity of 1 to the first feature vector can be found, it indicates that the second feature vector is completely consistent with the first feature vector, and the vehicle configuration information of the vehicle type corresponding to the second feature vector is completely consistent with the vehicle configuration information of the target vehicle, at this time, data of the diagnostic software corresponding to the vehicle type of the second feature vector is directly used as target diagnostic software data.
In another embodiment, if the second eigenvector with the cosine similarity of 1 to the first eigenvector cannot be found, determining a preset number of second eigenvectors with the largest cosine similarity to the first eigenvector as target eigenvectors, and taking the vehicle type corresponding to the target eigenvector as a third target vehicle type. And then, splicing to obtain target diagnosis software data required by the target vehicle according to the diagnosis software modules of the diagnosis software corresponding to the third target vehicle type.
For example, assuming that the vehicle identification number of the target vehicle is "LSJA 36E35LZ 888888", by analyzing the vehicle identification number, the vehicle configuration information corresponding to the target vehicle can be determined. And then, generating a first feature vector corresponding to the target vehicle according to each feature information contained in the vehicle configuration information. And then, respectively calculating the cosine similarity between the first feature vector and each second feature vector prestored in the server, and when a second feature vector with the cosine similarity of 1 to the first feature vector is found, directly returning the data of the diagnosis software of the vehicle type corresponding to the second feature vector as target diagnosis software data. When second eigenvectors with the cosine similarity of 1 with the second eigenvectors do not exist, determining the first 5 second eigenvectors with the largest cosine similarity with the first eigenvectors from each second eigenvector, and taking the vehicle type corresponding to the largest second eigenvector in the first 5 second eigenvectors as the reference vehicle type. And then, by taking the diagnostic software corresponding to the reference vehicle type as basic diagnostic software, deleting the part which does not correspond to the vehicle configuration of the target vehicle from the basic diagnostic software, adding the part which corresponds to the vehicle configuration of the target vehicle in other third target vehicle types, and splicing to obtain target diagnostic software data corresponding to the target vehicle.
In the embodiment of the application, the corresponding first characteristic vectors can be generated according to the vehicle configuration information of the target vehicles, and the preset number of third target vehicle types with the maximum similarity between the corresponding second characteristic vectors and the first characteristic vectors can be accurately determined through the calculation of the cosine similarity between the characteristic vectors, so that the third target vehicle types can be accurately obtained, and the target diagnosis software data required by the diagnosis equipment can be accurately obtained through splicing according to the diagnosis software corresponding to the third target vehicle types.
Optionally, the determining, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data includes:
determining vehicle configuration information of a target vehicle according to the vehicle information;
if the configured diagnostic software exists in the diagnostic equipment currently according to the configured diagnostic software information, determining a target differential diagnostic module according to the vehicle configuration information and the vehicle configuration information corresponding to the configured diagnostic software; the target differential diagnostic module is a diagnostic software module required by the target vehicle and not present in the configured diagnostic software;
and determining the target diagnosis software data according to the target difference diagnosis module.
In this embodiment of the application, the vehicle information may be a vehicle identification code of the target vehicle, and according to the vehicle identification code, vehicle configuration information corresponding to the target vehicle may be determined.
And when the number of the diagnostic software existing in the diagnostic equipment is determined to be not 0 according to the configured diagnostic software information, namely the diagnostic equipment is determined to have the configured diagnostic software currently, determining the vehicle configuration information corresponding to the configured diagnostic software. And then comparing the vehicle configuration information of the configured diagnosis software with the vehicle configuration information of the target vehicle, determining the configuration information existing in both the vehicle configuration information of the configured diagnosis software and the vehicle configuration information of the target vehicle as general configuration information, and determining a diagnosis software module corresponding to the general configuration information in the configured diagnosis software as a general diagnosis software module. Then, the vehicle configuration information of the target vehicle is determined as the differential configuration information, but the configuration information in which the vehicle configuration information of the configured diagnostic software does not exist is determined as the target differential diagnostic module, and the diagnostic software module corresponding to the differential configuration information among the pre-stored diagnostic software is inquired from the server as the target differential diagnostic module.
And then, splicing the data of each target differential diagnosis module to obtain the data of the target diagnosis software which needs to be downloaded currently.
In the embodiment of the application, the target differential diagnosis module can be accurately determined by comparing the vehicle configuration information of the target vehicle with the vehicle configuration information of the configured diagnosis software, so that the data of the target diagnosis software can be accurately obtained, the diagnosis software can be accurately obtained on the premise of avoiding repeated downloading, and the obtaining efficiency of the diagnosis software is improved.
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 two:
fig. 3 is a schematic structural diagram of a diagnostic software acquiring apparatus provided in an embodiment of the present application, and for convenience of description, only parts related to the embodiment of the present application are shown:
the diagnostic software acquisition device includes: an instruction receiving unit 31, a configured diagnostic software information determining unit 32, a target diagnostic software data determining unit 33, and a transmitting unit 34. Wherein:
an instruction receiving unit 31, configured to receive a diagnostic software acquisition instruction sent by the diagnostic device, where the diagnostic software acquisition instruction includes vehicle information of the target vehicle.
A configured diagnostic software information determining unit 32, configured to determine configured diagnostic software information of the diagnostic device according to the diagnostic software acquisition instruction.
And a target diagnosis software data determining unit 33, configured to determine target diagnosis software data to be downloaded by the diagnosis device according to the vehicle information and the configured diagnosis software information.
A transmitting unit 34, configured to transmit the target diagnostic software data to the diagnostic apparatus.
Optionally, the target diagnostic software data determining unit 33 is specifically configured to determine, according to the vehicle information and the configured diagnostic software information, data of diagnostic software that matches the vehicle configuration information of the target vehicle as target diagnostic software data.
Optionally, the target diagnostic software data determining unit 33 is specifically configured to determine, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information, data of the diagnostic software corresponding to the first target vehicle type as target diagnostic software data; the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information.
Optionally, the target diagnostic software data determining unit 33 is specifically configured to, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information, and the diagnostic software corresponding to the first target vehicle type cannot be queried, perform: determining data of diagnostic software corresponding to the second target vehicle type as target diagnostic software data; the second target vehicle type is the other vehicle type which is determined according to the vehicle information and is consistent with the vehicle configuration information of the target vehicle.
Optionally, the target diagnostic software data determining unit 33 is specifically configured to, if it is determined that the configured diagnostic software does not exist in the diagnostic device currently according to the configured diagnostic software information, and the diagnostic software corresponding to the first target vehicle type and the second target vehicle type cannot be queried, perform: determining vehicle configuration information of the target vehicle according to the vehicle information; obtaining a preset number of vehicle types with highest similarity with the vehicle configuration information of the target vehicle as a third target vehicle type; determining a diagnosis software module matched with an ECU (electronic control unit) system of the target vehicle in diagnosis software of each third target vehicle type according to the vehicle configuration information of each third target vehicle type and the vehicle configuration information of the target vehicle; and determining the target diagnostic software data according to each diagnostic software module.
Optionally, in the target diagnosis software data determining unit 33, the acquiring a preset number of vehicle types with the highest similarity to the vehicle configuration information of the target vehicle as a third target vehicle type includes: determining a first feature vector corresponding to the target vehicle according to the vehicle configuration information of the target vehicle; respectively calculating cosine similarity between the first feature vector and each pre-stored second feature vector, determining a preset number of second feature vectors with the maximum cosine similarity with the first feature vector as target feature vectors, and taking the vehicle type corresponding to the target feature vectors as a third target vehicle type; and the second characteristic vector is determined in advance according to vehicle configuration information corresponding to a pre-stored vehicle type.
Optionally, the target diagnosis software data determining unit 33 is specifically configured to determine vehicle configuration information of the target vehicle according to the vehicle information; if the configured diagnostic software exists in the diagnostic equipment currently according to the configured diagnostic software information, determining a target differential diagnostic module according to the vehicle configuration information and the vehicle configuration information corresponding to the configured diagnostic software; the target differential diagnostic module is a diagnostic software module required by the target vehicle and not present in the configured diagnostic software; and determining the target diagnosis software data according to the target difference diagnosis module.
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 three:
fig. 4 is a schematic diagram of a communication device according to an embodiment of the present application. As shown in fig. 4, the communication device 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42, such as a diagnostic software acquisition program, stored in said memory 41 and operable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the various diagnostic software acquisition method embodiments described above, such as the steps S201-S204 shown in fig. 2. Alternatively, the processor 40 executes the computer program 42 to realize the functions of the modules/units in the device embodiments, such as the functions of the instruction receiving unit 31 to the sending unit 34 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 42 in the communication device 4.
The communication device 4 may be a server, a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The communication 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 a communication device 4 and does not constitute a limitation of communication device 4 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the communication device may also include input-output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), 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, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the communication device 4, such as a hard disk or a memory of the communication device 4. The memory 41 may also be an external storage device of the communication device 4, 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 provided on the communication device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the communication device 4. The memory 41 is used for storing the computer program and other programs and data required by the communication device. 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.
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/communication device and method may be implemented in other ways. For example, the above-described apparatus/communication 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 implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. 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.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize 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: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
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 diagnostic software acquisition method, comprising:
receiving a diagnosis software acquisition instruction sent by diagnosis equipment, wherein the diagnosis software acquisition instruction comprises vehicle information of a target vehicle;
determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction;
determining target diagnostic software data required to be downloaded by the diagnostic equipment according to the vehicle information and the configured diagnostic software information;
transmitting the target diagnostic software data to the diagnostic device.
2. The diagnostic software acquisition method as set forth in claim 1, wherein the determining target diagnostic software data required to be downloaded by the diagnostic device based on the vehicle information and the configured diagnostic software information comprises:
and determining data of the diagnosis software matched with the vehicle configuration information of the target vehicle as target diagnosis software data according to the vehicle information and the configured diagnosis software information.
3. The diagnostic software acquisition method according to claim 2, wherein the determining, as target diagnostic software data, data of diagnostic software that matches the vehicle configuration information of the target vehicle, based on the vehicle information and the configured diagnostic software information, includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment at present according to the configured diagnostic software information, determining data of the diagnostic software corresponding to the first target vehicle type as target diagnostic software data; the first target vehicle type is the vehicle type of the target vehicle determined according to the vehicle information.
4. The diagnostic software acquisition method according to claim 3, wherein the determining, as target diagnostic software data, data of diagnostic software that matches the vehicle configuration information of the target vehicle, based on the vehicle information and the configured diagnostic software information, comprises:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type cannot be inquired, then:
determining data of diagnostic software corresponding to the second target vehicle type as target diagnostic software data; the second target vehicle type is the other vehicle type which is determined according to the vehicle information and is consistent with the vehicle configuration information of the target vehicle.
5. The diagnostic software acquisition method according to claim 4, wherein the determining, as target diagnostic software data, data of diagnostic software that matches the vehicle configuration information of the target vehicle, based on the vehicle information and the configured diagnostic software information, includes:
if it is determined that the configured diagnostic software does not exist in the diagnostic equipment currently according to the configured diagnostic software information and the diagnostic software corresponding to the first target vehicle type and the second target vehicle type cannot be inquired, then:
determining vehicle configuration information of the target vehicle according to the vehicle information;
obtaining a preset number of vehicle types with highest similarity with the vehicle configuration information of the target vehicle as a third target vehicle type;
determining a diagnosis software module matched with an ECU (electronic control unit) system of the target vehicle in diagnosis software of each third target vehicle type according to the vehicle configuration information of each third target vehicle type and the vehicle configuration information of the target vehicle;
and determining the target diagnostic software data according to each diagnostic software module.
6. The diagnostic software acquisition method according to claim 5, wherein the acquiring, as a third target vehicle type, a preset number of vehicle types having a highest similarity to the vehicle configuration information of the target vehicle, includes:
determining a first feature vector corresponding to the target vehicle according to the vehicle configuration information of the target vehicle;
respectively calculating cosine similarity between the first feature vector and each pre-stored second feature vector, determining a preset number of second feature vectors with the maximum cosine similarity with the first feature vector as target feature vectors, and taking the vehicle type corresponding to the target feature vectors as a third target vehicle type; and the second characteristic vector is determined in advance according to vehicle configuration information corresponding to a pre-stored vehicle type.
7. The diagnostic software acquisition method as set forth in claim 1, wherein the determining target diagnostic software data required to be downloaded by the diagnostic device based on the vehicle information and the configured diagnostic software information comprises:
determining vehicle configuration information of a target vehicle according to the vehicle information;
if the configured diagnostic software exists in the diagnostic equipment currently according to the configured diagnostic software information, determining a target differential diagnostic module according to the vehicle configuration information and the vehicle configuration information corresponding to the configured diagnostic software; the target differential diagnostic module is a diagnostic software module required by the target vehicle and not present in the configured diagnostic software;
and determining the target diagnosis software data according to the target difference diagnosis module.
8. A diagnostic software acquisition device, comprising:
the diagnostic device comprises an instruction receiving unit, a diagnostic software acquiring unit and a diagnostic software acquiring unit, wherein the instruction receiving unit is used for receiving a diagnostic software acquiring instruction sent by the diagnostic device, and the diagnostic software acquiring instruction comprises vehicle information of a target vehicle;
the configured diagnostic software information determining unit is used for determining configured diagnostic software information of the diagnostic equipment according to the diagnostic software acquisition instruction;
the target diagnosis software data determining unit is used for determining target diagnosis software data required to be downloaded by the diagnosis equipment according to the vehicle information and the configured diagnosis software information;
a transmission unit for transmitting the target diagnostic software data to the diagnostic device.
9. A communication device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the computer program, when executed by the processor, causes the communication device to carry out the steps of the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes a communication device to carry out the steps of the method according to any one of claims 1 to 7.
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