CN111539753A - Vehicle detection method and device, electronic equipment and computer storage medium - Google Patents
Vehicle detection method and device, electronic equipment and computer storage medium Download PDFInfo
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Abstract
The invention provides a vehicle detection method, a vehicle detection device, electronic equipment and a computer storage medium, wherein the method comprises the following steps: acquiring identity information of a target vehicle and delivery time of each component of the target vehicle; detecting whether the target vehicle comprises a non-original component or not according to the identity information and the delivery time of each component; and outputting the detection result of the target vehicle. The invention can objectively detect whether the vehicle contains the non-original parts, and provides a real and reliable detection result for a user.
Description
Technical Field
The present invention relates to the field of detection technologies, and in particular, to a vehicle detection method and apparatus, an electronic device, and a computer storage medium.
Background
The automobile industry is the pillar industry of national economy for a long time, the level of the automobile industry reflects the industrialization level of a country to a great extent, and the second-hand car market is taken as an important ring in the automobile industry, so that the structure of the automobile industry is more complete.
However, the biggest problem in the used-vehicle market is information asymmetry, and most buyers' knowledge about vehicle-related information is only from descriptions of vehicle sellers, so that not only is the amount of information limited, but also the authenticity of the information remains to be testified. It will be appreciated that there are a large number of vehicles on the used-vehicle market that contain non-genuine components (i.e. components that have been replaced), such as accident vehicles, post-repair vehicles, etc. Due to the information transparency and the professional reason of the buyer, the buyer cannot really and objectively know the vehicle condition, and certain vehicle purchasing risks exist.
Disclosure of Invention
In view of the above, the present invention provides a vehicle detection method, a vehicle detection device, an electronic device, and a computer storage medium, which can objectively detect whether a vehicle includes an unaffiliated component, and provide a true and reliable detection result for a user.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a vehicle detection method, including: acquiring identity information of a target vehicle and factory time of each component of the target vehicle; detecting whether the target vehicle comprises an unaligned component or not according to the identity information and the delivery time of each component; and outputting the detection result of the target vehicle.
In one embodiment, the step of obtaining the identity information of the target vehicle and the factory time of each component of the target vehicle includes: acquiring output information of a vehicle-mounted diagnosis system of the target vehicle; and extracting the identity information of the target vehicle and the delivery time of each component of the target vehicle from the output information of the vehicle-mounted diagnosis system.
In one embodiment, the identification information includes a vehicle identification code, and the step of extracting the identification information of the target vehicle and the factory time of each component of the target vehicle from the output information of the on-board diagnosis system includes: extracting a vehicle identification code from output information of the vehicle-mounted diagnosis system based on character features of the vehicle identification code; identifying a key field for representing the delivery time of a component from output information of the vehicle-mounted diagnosis system based on a preset keyword; and extracting the delivery time of each component of the target vehicle according to the identified key field.
In one embodiment, the step of extracting the factory time of each component of the target vehicle according to the identified key field includes: for each identified key field, determining a component name corresponding to the key field according to the context of the key field in the output information; searching a time format corresponding to the key field, and converting the component delivery time represented by the key field according to a preset standard format based on the time format corresponding to the key field to obtain the component delivery time with the preset standard format; and associating the component name corresponding to the key field with the component delivery time with the preset standard format, and taking the association result as the component delivery time corresponding to the key field.
In an embodiment, the step of searching for the time format corresponding to the key field includes: searching a time format corresponding to the key field according to a pre-established format corresponding table; the format corresponding table comprises the corresponding relation between the key field and the time format; the format correspondence table is established in the following way: acquiring time formats of each part delivery time of various vehicles and field formats of key fields representing the delivery time of the parts based on a big data statistical mode; and classifying and sorting the obtained results to obtain the corresponding relation between the key field for representing the component delivery time and the time format of the component delivery time.
In one embodiment, the step of detecting whether the target vehicle includes an unaffiliated component according to the identity information and the delivery time of each component includes: determining the delivery time of the target vehicle according to the identity information; searching a component with the delivery time later than that of the target vehicle according to the delivery time of the target vehicle and the delivery time of each component; and taking the searched part as a detected non-original part of the target vehicle.
In one embodiment, the identity information includes a vehicle identification code; the step of determining the delivery time of the target vehicle according to the identity information includes: extracting characters corresponding to the designated digits of the vehicle identification code; and determining the delivery time of the target vehicle according to the extracted characters.
In a second aspect, an embodiment of the present invention further provides a vehicle detection apparatus, including: the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring the identity information of a target vehicle and the delivery time of each component of the target vehicle; the detection module is used for detecting whether the target vehicle comprises the non-original components or not according to the identity information and the delivery time of each component; and the output module is used for outputting the detection result of the target vehicle.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use in the method according to any one of the first aspect.
The embodiment of the invention provides a vehicle detection method, a vehicle detection device, electronic equipment and a computer storage medium, which can acquire identity information of a target vehicle and factory time of each component of the target vehicle, and then detect whether the target vehicle comprises a non-original component or not according to the identity information and the factory time of each component, so as to output a detection result of the target vehicle. The method can directly acquire the identity information of the vehicle and the delivery time of each part without depending on the description of a seller on the vehicle, and can objectively detect whether the vehicle contains the non-original parts or not only based on the identity information and the delivery time of each part, thereby providing a real and reliable detection result for a user.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a vehicle detection method provided by an embodiment of the invention;
FIG. 2 is a flow chart illustrating a method for vehicle detection provided by an embodiment of the present invention;
fig. 3 is a block diagram showing a structure of a vehicle detection apparatus according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In view of the fact that the conventional used vehicle buyer cannot really and objectively know whether the vehicle is replaced by the zero-crossing component, to improve the problem, embodiments of the present invention provide a vehicle detection method, an apparatus, an electronic device, and a computer storage medium, where the technique is applicable to a situation where the vehicle needs to be detected.
Referring to a flowchart of a vehicle detection method shown in fig. 1, the method may be executed by an electronic device, and specifically includes the following steps:
and step S102, acquiring the identity information of the target vehicle and the delivery time of each component of the target vehicle.
The target Vehicle is a Vehicle to be detected, and the identity information of the target Vehicle may be a unique identifier for distinguishing the Vehicle, such as a Vehicle Identification Number (VIN), and of course, may also be a license plate Number bound to the Vehicle. In practical application, the identity information of the vehicle and the delivery time of each component of the target vehicle can be directly obtained through a vehicle-mounted automatic diagnosis system of the target vehicle, the identity information of the target vehicle and the delivery time of each component of the target vehicle can be read through an electronic tag attached to the target vehicle, and in addition, the manually input identity information of the target vehicle and the delivery time of each component of the target vehicle can be received, or the input identity information of the target vehicle and the delivery time of each component of the target vehicle can be called from a third-party platform.
And step S104, detecting whether the target vehicle contains the non-original parts or not according to the identity information and the delivery time of each part.
In one implementation, the delivery time of the target vehicle may be determined according to the identity information, and then whether a component of the target vehicle has been replaced after delivery is determined by comparing the delivery time of the target vehicle and the delivery time of each component, where the replaced component is a non-original component of the target vehicle.
And step S106, outputting the detection result of the target vehicle. The detection result may include a conclusion whether the target vehicle includes the non-genuine component, and if it is determined that the target vehicle includes the non-genuine component, the detection result may further include component information of the non-genuine component, and the like.
According to the vehicle detection method provided by the embodiment of the invention, the description of a seller on the vehicle or the personal experience of a buyer is not required, the vehicle identity information and the delivery time of each part can be directly acquired, whether the vehicle contains the non-original part or not can be objectively detected only on the basis of the identity information and the delivery time of each part, and a real and reliable detection result is provided for a user.
In order to more conveniently and directly acquire the identity information and the component information of the target vehicle, the embodiment provides a manner of acquiring related information by using an On Board Diagnostics (OBD), that is, the output information of the On Board diagnostic system of the target vehicle may be acquired, and then the identity information of the target vehicle and the delivery time of each component of the target vehicle are extracted from the output information of the On Board diagnostic system.
Most vehicles are equipped with an on-board automatic diagnostic system which can monitor the operation of an engine electronic control system and other functional modules of the vehicle in real time during the running of the vehicle, for example, the on-board automatic diagnostic system can detect data of electronic components of an engine, a transmission, a tire pressure monitoring system, a windshield wiper, a reverse driving auxiliary system, an instrument panel, an electronic central electrical system, an electronic ignition lock, an airbag, an emergency call module, a communication unit and the like of the vehicle, and determine a fault when an abnormality is found.
In the embodiment, when detecting whether the vehicle has the problem of component replacement, the vehicle-mounted automatic diagnosis system configured for the existing vehicle is utilized to acquire the vehicle identity information and the delivery time of each component, and in the specific implementation, the output information of the vehicle-mounted diagnosis system can be read through the OBD interface, and then the required information such as the identity information of the target vehicle and the delivery time of each component of the target vehicle is extracted from the output information of the vehicle-mounted diagnosis system.
Through the mode of utilizing OBD to acquire identity information and each part factory time, on the one hand, convenience and high efficiency are achieved, and on the other hand, the acquired data are real, accurate and comprehensive.
In a specific embodiment, when the identity information of the target vehicle and the factory time of each component of the target vehicle are extracted from the output information of the on-board diagnosis system, the following steps a to c can be referred to for implementation:
step a, extracting the vehicle identification code from the output information of the vehicle-mounted diagnosis system based on the character characteristics of the vehicle identification code. It will be appreciated that a vehicle identification number (VIN code) is a set of serial numbers consisting of 17 characters (seventeen digits), and that the VIN code may be identified from the information stream output by the on-board diagnostic system based on the character characteristics of the vehicle identification code.
And b, identifying a key field for representing the delivery time of the part from the output information of the vehicle-mounted diagnosis system based on a preset keyword. For example, the preset keywords may be words related to time, and the key fields may be "time", "date", "environment data-date", "global real-time", and the like.
And c, extracting the delivery time of each part of the target vehicle according to the identified key field. Each key field corresponds to the factory time, but the factory time formats corresponding to different fields may be different, and based on this, when step c is implemented, the following steps (1) to (3) may be referred to for each identified key field:
(1) and determining the component name corresponding to the key field according to the context of the key field in the output information. For example, if a key field "time" is found in the output information, and then a component name is found in a context where the key field "time" is within a preset byte range, and the found component name is "engine", it is determined that the key field "time" is a characteristic attribute of the vehicle engine, that is, the factory time of the engine is represented.
(2) And searching a time format corresponding to the key field, and converting the component delivery time represented by the key field according to a preset standard format based on the time format corresponding to the key field to obtain the component delivery time with the preset standard format. It can be understood that, due to different vehicle types and components, the factory time formats of the components are different. In order to better analyze the time, the present embodiment processes the extracted data and converts the processed data into a standard time format, such as setting the standard time format to (year/month/day: minute: second).
In practical application, the time format corresponding to the key field can be searched according to a pre-established format corresponding table; the format corresponding table contains the corresponding relation between the key field and the time format. For easy understanding, the present embodiment provides a method for establishing a format mapping table: acquiring time formats of each part delivery time of various vehicles and field formats of key fields representing the delivery time of the parts based on a big data statistical mode; and classifying and sorting the obtained results to obtain the corresponding relation between the key field for representing the component delivery time and the time format of the component delivery time. For example, the factory time format and the field format of each component of an existing vehicle on the market at present may be crawled from the network through a web crawler technology, or the factory time format and the field format of the vehicle component may be directly obtained by a vehicle manufacturer of the existing vehicle on the market at present, and then the obtained data is sorted, and the obtained corresponding relationship between the key field for representing the factory time of the component and the time format of the factory time of the component may be referred to the following table 1:
TABLE 1
In a specific embodiment, a preset standard format of the relevant time can be set as (year/month/day: minute: second), and then the time format corresponding to each key field can be converted into the preset standard format, for the convenience of understanding, the following examples are given:
example 1: the time corresponding to the key field "time" or "date" is: the '18: 37: 37-25.11.2019' is converted into '2019/11/2518: 37: 37' according to the standard format.
Example 2: the time corresponding to the key field "environment data — date" is: "181219", converted to "2019/12/1800: 00: 00 ", wherein the zero padding process is performed in time-minutes-seconds.
Example 3: the time corresponding to the key field "global real time" is: 11/27/201915: 42:28, converted into 2019/11/2715: 42:28 according to standard format.
(3) And associating the component name corresponding to the key field with the component delivery time with a preset standard format, and taking the association result as the component delivery time corresponding to the key field. Such as the key field "time" corresponding to the part name engine, then the engine is associated with "2019/11/2518: 37: 37" converted to a standard format.
In this embodiment, when detecting whether the target vehicle includes an unaligned component according to the identity information and the delivery time of each component, the delivery time of the target vehicle may be determined according to the identity information; then searching components with the delivery time later than that of the target vehicle according to the delivery time of the target vehicle and the delivery time of each component; and finally, taking the searched part as a detected non-original part of the target vehicle. The time discrimination mode can ensure that the searched part is definitely the non-original part of the target vehicle, and the accuracy of the vehicle detection result is ensured.
There are various ways of determining the factory time of the target vehicle according to the identity information, such as going to a third party platform or going to a manufacturer/official website of the target vehicle to inquire the factory time of the vehicle according to the identity information of the vehicle.
It is understood that VIN is a serial number containing 17 characters (seventeen digits), and different digits represent different meanings, and can identify information such as manufacturer, engine, chassis serial number and other performance of the automobile. The tenth place represents a vehicle money year code, so that the factory leaving time of the target vehicle can be determined directly based on the character corresponding to the tenth place of the VIN code, in the tenth place of the VIN code, the factory leaving years corresponding to different characters are different, such as the number 1 represents 2001, the number 2 represents 2002, the letter a represents 2010, and the like, and specifically, the factory leaving time of the target vehicle can be determined according to the corresponding relationship between the characters and the years known in advance.
The mode that the vehicle leaving time is determined directly from the vehicle identification code is more convenient and accurate than directly inquiring the seller or specially inquiring the leaving record of the vehicle.
Based on the foregoing embodiments, this embodiment provides a specific application scenario of a vehicle detection method, which is specifically applicable to a vehicle inspector for detecting a used vehicle, and referring to a flowchart of the vehicle detection method shown in fig. 2, the method is mainly executed by a background server, and mainly includes the following steps S202 to S212:
and S202, receiving the vehicle information of the target vehicle uploaded by the OBD diagnostic instrument. The vehicle information at least comprises VIN codes, data streams of various parts of the vehicle and the like.
And step S204, analyzing the vehicle information, and extracting the original time data of each part and the VIN code of the vehicle. The original time data is the component factory time represented by the format corresponding to the component.
Step S206, converting the original time data of each component into a standard time format to obtain the time data of each component with the standard time format.
And S208, analyzing the VIN code to obtain the vehicle delivery time.
And step S210, judging whether the non-original components exist according to the time data of each component with the standard time format and the vehicle delivery time.
And step S212, generating a vehicle detection report according to the judgment result, and sending the vehicle detection report to the specified terminal. The designated terminal may be a mobile phone of a vehicle inspector or a used-vehicle-related person (such as a buyer or a seller), and the like, and is not limited herein.
According to the vehicle detection method provided by the embodiment, the vehicle information can be conveniently and rapidly acquired through the OBD diagnostic instrument, and the data is objective and comprehensive; and the background server analyzes and compares the VIN code in the vehicle information and the component delivery time, so that whether the vehicle contains the non-original component can be objectively and accurately detected, a real and reliable detection result is provided for a user, and the user does not need to rely on personal experience and the description of a seller on the vehicle.
As for the vehicle detection method provided in the foregoing embodiment, an embodiment of the present invention provides a vehicle detection apparatus, which includes the following modules, as shown in fig. 3:
an obtaining module 302, configured to obtain identity information of a target vehicle and factory time of each component of the target vehicle;
the detection module 304 is configured to detect whether the target vehicle includes an unaffiliated component according to the identity information and the delivery time of each component;
and an output module 306, configured to output a detection result of the target vehicle.
According to the vehicle detection device provided by the embodiment of the invention, the description of a seller on the vehicle is not required, the vehicle identity information and the delivery time of each component can be directly obtained, whether the vehicle contains the non-original component or not can be objectively detected only on the basis of the identity information and the delivery time of each component, and a real and reliable detection result is provided for a user.
In an embodiment, the obtaining module 302 is configured to: acquiring output information of a vehicle-mounted diagnosis system of a target vehicle; and extracting the identity information of the target vehicle and the delivery time of each component of the target vehicle from the output information of the vehicle-mounted diagnosis system.
In an embodiment, the identity information includes a vehicle identification code, and the obtaining module 302 is further configured to: extracting a vehicle identification code from output information of the vehicle-mounted diagnosis system based on character features of the vehicle identification code; identifying a key field for representing the delivery time of the part from output information of the vehicle-mounted diagnosis system based on a preset keyword; and extracting the delivery time of each component of the target vehicle according to the identified key field.
In an embodiment, the obtaining module 302 is further configured to: for each identified key field, determining a component name corresponding to the key field according to the context of the key field in the output information; searching a time format corresponding to the key field, and converting the component delivery time represented by the key field according to a preset standard format based on the time format corresponding to the key field to obtain the component delivery time with the preset standard format; and associating the component name corresponding to the key field with the component delivery time with a preset standard format, and taking the association result as the component delivery time corresponding to the key field.
In an embodiment, the obtaining module 302 is further configured to: searching a time format corresponding to the key field according to a pre-established format corresponding table; the format corresponding table comprises the corresponding relation between the key field and the time format; the format corresponding table is established in the following way: acquiring time formats of each part delivery time of various vehicles and field formats of key fields representing the delivery time of the parts based on a big data statistical mode; and classifying and sorting the obtained results to obtain the corresponding relation between the key field for representing the component delivery time and the time format of the component delivery time.
In one embodiment, the detecting module 304 is further configured to: determining the delivery time of the target vehicle according to the identity information; searching a component with the delivery time later than that of the target vehicle according to the delivery time of the target vehicle and the delivery time of each component; and taking the searched part as a detected non-original part of the target vehicle.
In one embodiment, the identification information includes a vehicle identification code; the detection module 304 is further configured to: extracting characters corresponding to the designated digits of the vehicle identification code; and determining the delivery time of the target vehicle according to the extracted characters.
The device provided by the embodiment has the same implementation principle and technical effect as the foregoing embodiment, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiment for the portion of the embodiment of the device that is not mentioned.
The present embodiments further provide an electronic device comprising a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs a vehicle detection method as in any one of the preceding. The electronic equipment can be a special vehicle detector, an intelligent terminal such as a mobile phone and the like, a background server and the like.
The present embodiment provides a schematic structural diagram of an electronic device capable of implementing the foregoing vehicle detection method, as shown in fig. 4, a memory 40 is used for storing one or more computer instructions, and the one or more computer instructions are executed by a processor to implement the foregoing vehicle detection method.
Further, the electronic device shown in fig. 4 further includes a bus 42 and a communication interface 43, and the processor 41, the communication interface 43 and the memory 40 are connected through the bus 42.
The Memory 40 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used. The bus 42 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The processor 41 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 41. The Processor 41 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps, and logic blocks disclosed in the embodiments of the present disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 42, and the processor 41 reads the information in the memory 42 and completes the steps of the method of the foregoing embodiment in combination with the hardware thereof.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the electronic device described above may refer to the corresponding process in the foregoing embodiment, and is not described herein again.
The vehicle detection method, the vehicle detection device and the computer program product of the electronic device provided by the embodiment of the invention comprise a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method described in the foregoing method embodiment, and specific implementation can refer to the method embodiment, and is not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A vehicle detection method, characterized by comprising:
acquiring identity information of a target vehicle and factory time of each component of the target vehicle;
detecting whether the target vehicle comprises an unaligned component or not according to the identity information and the delivery time of each component;
and outputting the detection result of the target vehicle.
2. The method of claim 1, wherein the step of obtaining the identity information of the target vehicle and the factory time of each component of the target vehicle comprises:
acquiring output information of a vehicle-mounted diagnosis system of the target vehicle;
and extracting the identity information of the target vehicle and the delivery time of each component of the target vehicle from the output information of the vehicle-mounted diagnosis system.
3. The method of claim 2, wherein the identification information includes a vehicle identification code, and the step of extracting the identification information of the target vehicle and the factory hours of the components of the target vehicle from the output information of the on-board diagnostic system comprises:
extracting a vehicle identification code from output information of the vehicle-mounted diagnosis system based on character features of the vehicle identification code;
identifying a key field for representing the delivery time of a component from output information of the vehicle-mounted diagnosis system based on a preset keyword;
and extracting the delivery time of each component of the target vehicle according to the identified key field.
4. The method of claim 3, wherein the step of extracting the factory time of each component of the target vehicle according to the identified key field comprises:
for each identified key field, determining a component name corresponding to the key field according to the context of the key field in the output information;
searching a time format corresponding to the key field, and converting the component delivery time represented by the key field according to a preset standard format based on the time format corresponding to the key field to obtain the component delivery time with the preset standard format;
and associating the component name corresponding to the key field with the component delivery time with the preset standard format, and taking the association result as the component delivery time corresponding to the key field.
5. The method of claim 4, wherein the step of searching the time format corresponding to the key field comprises:
searching a time format corresponding to the key field according to a pre-established format corresponding table; the format corresponding table comprises the corresponding relation between the key field and the time format;
the format correspondence table is established in the following way: acquiring time formats of each part delivery time of various vehicles and field formats of key fields representing the delivery time of the parts based on a big data statistical mode; and classifying and sorting the obtained results to obtain the corresponding relation between the key field for representing the component delivery time and the time format of the component delivery time.
6. The method according to claim 1, wherein the step of detecting whether the target vehicle includes an unaffiliated component according to the identity information and the time of leaving the components comprises:
determining the delivery time of the target vehicle according to the identity information;
searching a component with the delivery time later than that of the target vehicle according to the delivery time of the target vehicle and the delivery time of each component;
and taking the searched part as a detected non-original part of the target vehicle.
7. The method of claim 6, wherein the identity information comprises a vehicle identification code; the step of determining the delivery time of the target vehicle according to the identity information includes:
extracting characters corresponding to the designated digits of the vehicle identification code;
and determining the delivery time of the target vehicle according to the extracted characters.
8. A vehicle detection device, characterized by comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring the identity information of a target vehicle and the delivery time of each component of the target vehicle;
the detection module is used for detecting whether the target vehicle comprises the non-original components or not according to the identity information and the delivery time of each component;
and the output module is used for outputting the detection result of the target vehicle.
9. An electronic device comprising a processor and a memory;
the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of claims 1 to 7.
10. A computer storage medium storing computer software instructions for use in the method of any one of claims 1 to 7.
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