A method and apparatus for determining intelligent guidance of a vehicle diagnostic station

Abstract

The application discloses a kind of intelligent guidance method and device for determining vehicle diagnostic seat, the method is when detecting that the diagnostic seat of vehicle needs to be found, obtain the vehicle identification and vehicle model parameter of vehicle, and compare with the vehicle model data in vehicle model database;When the comparison result indicates that there is vehicle model matching the vehicle model in vehicle model database, obtain the diagnostic seat image matching the vehicle from vehicle model database;The diagnostic seat image corresponding to vehicle is analyzed, and the diagnostic seat parameter of vehicle is obtained, and the guidance prompt of the diagnostic seat of vehicle is output to user.It can be seen that, by comparing the obtained vehicle identification and vehicle model parameter with the vehicle model data in vehicle model database, and when determining that there is corresponding vehicle model, corresponding diagnostic seat image is directly obtained and analyzed, and the diagnostic seat parameter analyzed is output to user, the intelligent guidance of vehicle diagnostic seat can be realized, and the determination efficiency and accuracy of vehicle diagnostic seat are improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle maintenance technology, and in particular to an intelligent guidance method and device for determining vehicle diagnostic ports. Background Technology

[0002] With the rapid development of society and Internet of Things technology, as well as the improvement of people's living standards, more and more people own vehicles. The arrival and development of vehicles have brought great convenience to people's lives, work and travel.

[0003] Currently, when fault codes are present, an OBD cable is typically used to connect the vehicle's diagnostic port and a fault code diagnostic device. Before connecting the diagnostic port, its location must be found. Currently, this is often done by the user relying on their experience. However, in practice, it has been found that manually locating the diagnostic port is time-consuming due to the user's limited experience. Therefore, manually locating the diagnostic port is not efficient. Thus, proposing a technical solution that provides intelligent guidance for locating the vehicle's diagnostic port to improve the efficiency of this process is particularly important. Summary of the Invention

[0004] This invention provides an intelligent guidance method and apparatus for determining vehicle diagnostic ports, which can improve the efficiency of determining vehicle diagnostic ports through intelligent guidance.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses an intelligent guidance method for determining a vehicle diagnostic port, the method comprising:

[0006] When it is detected that the diagnostic port of the target vehicle needs to be located, the parameters of the target vehicle input by the user are obtained. The parameters of the target vehicle include the vehicle identifier and the vehicle model parameters of the target vehicle.

[0007] The vehicle model parameters and vehicle identifier of the target vehicle are compared with the vehicle model data in the determined vehicle model database to obtain the comparison result. The vehicle model database stores multiple vehicle models.

[0008] When the comparison result indicates that there is a vehicle model in the vehicle model database that matches the target vehicle model, the diagnostic port image that matches the target vehicle model is obtained from the vehicle model database.

[0009] analyzing the diagnosis seat image corresponding to the target vehicle to obtain diagnosis seat parameters of the target vehicle, and outputting a guidance prompt of the diagnosis seat of the target vehicle to a user, the guidance prompt including the diagnosis seat parameters of the target vehicle, the diagnosis seat parameters of the target vehicle being used to guide the user to determine the diagnosis seat of the target vehicle.

[0010] As an optional implementation, in the first aspect of the present application, when the comparison result is used to indicate that there is no image data in the vehicle type database matching the vehicle type of the target vehicle, a prompt for re-inputting information of the target vehicle is outputted to a user, the prompt including the information of the target vehicle and inputting matters needing attention of the information of the target vehicle;

[0011] receiving the information of the target vehicle inputted by the user, updating the information of the target vehicle as parameters of the target vehicle, and re-executing the operation of comparing the parameters of the target vehicle with the determined vehicle type data in the vehicle type database to obtain a comparison result.

[0012] As an optional implementation, in the first aspect of the present application, the method further includes:

[0013] when the comparison result obtained again is used to indicate that there is no image data in the vehicle type database matching the vehicle type of the target vehicle, sending a diagnosis seat acquisition request to the cloud, the diagnosis seat acquisition request including the information of the target vehicle and being used to acquire a diagnosis seat image of the target vehicle;

[0014] after acquiring the diagnosis seat image of the target vehicle sent by the cloud, analyzing the diagnosis seat image of the target vehicle to obtain diagnosis seat parameters of the target vehicle.

[0015] The method further includes:

[0016] when the comparison result obtained again is used to indicate that there is no image data in the vehicle type database matching the vehicle type of the target vehicle, sending a diagnosis seat acquisition request to the cloud, the diagnosis seat acquisition request including the information of the target vehicle and being used to acquire a diagnosis seat image of the target vehicle;

[0017] after acquiring the diagnosis seat image of the target vehicle sent by the cloud, analyzing the diagnosis seat image of the target vehicle to obtain diagnosis seat parameters of the target vehicle.

[0018] As an optional implementation, in the first aspect of the present application, the analyzing the diagnosis seat image corresponding to the target vehicle to obtain diagnosis seat parameters of the target vehicle includes:

[0019] According to the diagnostic seat image corresponding to the target vehicle, a contour of the diagnostic seat of the target vehicle, first feature points inside the contour, and a color of the diagnostic seat are identified;

[0020] Second feature points on the contour of the diagnostic seat of the target vehicle are extracted, and the size, shape, structure, and color of the diagnostic seat of the target vehicle are analyzed according to all the second feature points and all the first feature points inside the contour.

[0021] According to the size, shape, structure, and color of the diagnostic seat of the target vehicle, a diagnostic seat parameter of the target vehicle is determined.

[0022] As an optional implementation, in the first aspect of the present application, before the method outputs the guidance prompt of the diagnostic seat of the target vehicle to the user, the method further comprises:

[0023] An identifier of the diagnostic seat of the target vehicle is obtained.

[0024] According to the identifier of the diagnostic seat of the target vehicle, the content contained in the diagnostic seat parameter of the target vehicle, the vehicle identifier of the target vehicle, and the type of the user, the diagnostic seat parameter of the target vehicle is converted into a password parameter matched with the user.

[0025] The method outputs the guidance prompt of the diagnostic seat of the target vehicle to the user.

[0026] The method outputs the guidance prompt of the diagnostic seat of the target vehicle to the user with the password parameter.

[0027] As an optional implementation, in the first aspect of the present application, the method further comprises:

[0028] The diagnostic seat of the target vehicle is determined in the position of the target vehicle, and an article layout parameter of an area where the diagnostic seat of the target vehicle is located is collected.

[0029] A parameter of the user is obtained, the parameter of the user including the height of the user, and a guidance mode of the diagnostic seat of the target vehicle is generated according to the collected article layout parameter, the position of the diagnostic seat, and the parameter of the user.

[0030] The guidance mode is used to guide the user to determine the position of the diagnostic seat of the target vehicle.

[0031] As an optional implementation, in the first aspect of the present application, the method further comprises:

[0032] According to the position of the diagnostic seat of the target vehicle, a target vehicle door closest to the position of the diagnostic seat of the target vehicle is determined, and an identifier of the target vehicle door is updated to the guidance prompt, the guidance prompt further comprising the identifier of the target vehicle door;

[0033] When it is detected that the user opens the target vehicle door, a current environmental parameter of an area between the target vehicle door and the position of the diagnostic seat of the target vehicle is collected, the current environmental parameter comprising an area ambient light brightness;

[0034] According to the height and line-of-sight range of the user, the environmental parameter is analyzed to obtain an analysis result, the analysis result comprising a light angle and a light intensity of light from the target vehicle door to the position of the diagnostic seat of the target vehicle;

[0035] According to the analysis result, the guidance mode is adjusted, and the user is guided to determine the diagnostic seat of the target vehicle according to the updated guidance mode.

[0036] The second aspect of the present application discloses an intelligent guidance device for determining a diagnostic seat of a vehicle, the device comprising:

[0037] The acquisition module is configured to, when it is detected that a diagnostic seat of a target vehicle needs to be found, acquire parameters of the target vehicle input by a user, the parameters of the target vehicle comprising a vehicle identifier of the target vehicle and a vehicle model parameter of the target vehicle.

[0038] The comparison module is configured to compare the vehicle model parameter of the target vehicle and the vehicle identifier of the target vehicle with vehicle model data in a determined vehicle model database to obtain a comparison result, the vehicle model database storing a plurality of vehicle models.

[0039] The acquisition module is further configured to, when the comparison result indicates that there is a vehicle model matching the vehicle model of the target vehicle in the vehicle model database, acquire a diagnostic seat image matching the target vehicle from the vehicle model database.

[0040] The analysis module is configured to analyze the diagnostic seat image corresponding to the target vehicle to obtain diagnostic seat parameters of the target vehicle.

[0041] The prompt module is configured to output a guidance prompt of the diagnostic seat of the target vehicle to a user, the guidance prompt comprising the diagnostic seat parameters of the target vehicle, the diagnostic seat parameters of the target vehicle being used to guide the user to determine the diagnostic seat of the target vehicle.

[0042] As an optional implementation, in the second aspect of the present application, the prompting module is further configured to output a prompt for re-inputting information of the target vehicle to a user when the comparison result indicates that there is no image data in the vehicle model database matching the vehicle model of the target vehicle, the prompt including the information of the target vehicle and inputting matters needing attention of the information of the target vehicle.

[0043] The device further includes:

[0044] The receiving module is configured to receive information of the target vehicle input by a user.

[0045] The updating module is configured to update the information of the target vehicle as parameters of the target vehicle, and trigger the comparison module to re-execute the operation of comparing the parameters of the target vehicle with vehicle model data in the determined vehicle model database to obtain a comparison result.

[0046] As an optional implementation, in the second aspect of the present application, the prompting module is further configured to send a diagnostic seat acquisition request to the cloud when the re-obtained comparison result indicates that there is no image data in the vehicle model database matching the vehicle model of the target vehicle, the diagnostic seat acquisition request including the information of the target vehicle and being used to acquire a diagnostic seat image of the target vehicle.

[0047] The analysis module is further configured to analyze the diagnostic seat image of the target vehicle after acquiring the diagnostic seat image of the target vehicle sent by the cloud to obtain diagnostic seat parameters of the target vehicle.

[0048] As an optional implementation, in the second aspect of the present application, the specific manner in which the analysis module analyzes the diagnostic seat image of the target vehicle to obtain diagnostic seat parameters of the target vehicle includes:

[0049] According to the diagnostic seat image of the target vehicle, identifying the contour of the diagnostic seat of the target vehicle, first feature points inside the contour, and colors;

[0050] Extracting second feature points on the contour of the diagnostic seat of the target vehicle, and analyzing the size, shape, structure, and color of the diagnostic seat of the target vehicle according to all the second feature points and all the first feature points inside the contour.

[0051] According to the size, shape, structure, and color of the diagnostic seat of the target vehicle analyzed, determining diagnostic seat parameters of the target vehicle.

[0052] As an optional implementation, in the second aspect of the present application, the obtaining module is further configured to obtain an identification of a diagnostic seat of the target vehicle before the prompting module outputs the guidance prompt of the diagnostic seat of the target vehicle to the user.

[0053] The apparatus further comprises:

[0054] a converting module configured to convert the diagnostic seat parameter of the target vehicle into a password parameter matched with the user according to the identification of the diagnostic seat of the target vehicle, content contained in the diagnostic seat parameter of the target vehicle, the vehicle identification of the target vehicle, and the type of the user;

[0055] The specific manner in which the prompting module outputs the guidance prompt of the diagnostic seat of the target vehicle to the user includes:

[0056] The guidance prompt of the diagnostic seat of the target vehicle is output to the user in the password parameter.

[0057] As an optional implementation, in the second aspect of the present application, the obtaining module is further configured to determine that the diagnostic seat of the target vehicle is at the location of the target vehicle.

[0058] The apparatus further comprises:

[0059] a collecting module configured to collect an article layout parameter of an area where the diagnostic seat of the target vehicle is located;

[0060] The obtaining module is further configured to obtain a parameter of the user, the parameter of the user including a height of the user.

[0061] a generating module configured to generate a guidance manner of the diagnostic seat of the target vehicle according to the collected article layout parameter, the location of the diagnostic seat, and the parameter of the user;

[0062] The guidance manner is used to guide the user to determine the location of the diagnostic seat of the target vehicle.

[0063] As an optional implementation, in the second aspect of the present application, the obtaining module is further configured to determine a target vehicle door closest to the location of the diagnostic seat of the target vehicle according to the location of the diagnostic seat of the target vehicle.

[0064] The prompting module is further configured to update the identification of the target vehicle door to the guidance prompt, the guidance prompt further including the identification of the target vehicle door.

[0065] The acquisition module is further configured to acquire a current environmental parameter of an area between the target vehicle door and a position of a diagnostic seat of the target vehicle when it is detected that the user opens the target vehicle door, the current environmental parameter including an ambient light brightness of the area.

[0066] The analysis module is further configured to analyze the environmental parameter according to the height and the line-of-sight range of the user to obtain an analysis result, the analysis result including a light angle and a light intensity of light from the target vehicle door to the position of the diagnostic seat of the target vehicle.

[0067] The guiding module is configured to adjust the guiding mode according to the analysis result and guide the user to determine the diagnostic seat of the target vehicle according to the updated guiding mode.

[0068] The third aspect of the present application discloses another intelligent guiding device for determining a diagnostic seat of a vehicle, the device comprising:

[0069] a memory storing executable program codes;

[0070] a processor coupled to the memory;

[0071] The processor invokes the executable program codes stored in the memory to perform part or all of the steps of any one of the intelligent guiding methods for determining a diagnostic seat of a vehicle disclosed in the first aspect of the present application.

[0072] The fourth aspect of the present application discloses a computer storage medium storing computer instructions, which, when invoked, are used to perform part or all of the steps of any one of the intelligent guiding methods for determining a diagnostic seat of a vehicle disclosed in the first aspect of the present application.

[0073] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0074] In the embodiment of the present application, when it is detected that a diagnosis seat of a target vehicle needs to be found, parameters of the target vehicle input by a user are acquired, the parameters of the target vehicle including a vehicle identification of the target vehicle and a vehicle model parameter of the target vehicle; the vehicle model parameter of the target vehicle and the vehicle identification of the target vehicle are compared with vehicle model data in a vehicle model database to obtain a comparison result, the vehicle model database storing a plurality of vehicle models; when the comparison result indicates that a vehicle model matching the vehicle model of the target vehicle exists in the vehicle model database, a diagnosis seat image matching the target vehicle is acquired from the vehicle model database; the diagnosis seat image corresponding to the target vehicle is analyzed to obtain diagnosis seat parameters of the target vehicle, and a guidance prompt of the diagnosis seat of the target vehicle is output to the user, the guidance prompt including the diagnosis seat parameters of the target vehicle, the diagnosis seat parameters of the target vehicle being used to guide the user to determine the diagnosis seat of the target vehicle. It can be seen that, by comparing the acquired vehicle identification and vehicle model parameter with the vehicle model data in the vehicle model database, and when it is determined that a corresponding vehicle model exists, the corresponding diagnosis seat image is directly acquired and analyzed, and the analyzed diagnosis seat parameters are output to the user, the intelligent guidance of the vehicle diagnosis seat can be realized, and the determination efficiency and accuracy of the vehicle diagnosis seat are improved. BRIEF DESCRIPTION OF DRAWINGS

[0075] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0076] Figure 1 is a flow diagram of an intelligent guidance method for determining a vehicle diagnosis seat disclosed by an embodiment of the present application;

[0077] Figure 2 is a flow diagram of another intelligent guidance method for determining a vehicle diagnosis seat disclosed by an embodiment of the present application;

[0078] Figure 3 is a flow diagram of an intelligent guidance device for determining a vehicle diagnosis seat disclosed by an embodiment of the present application

[0079] Figure 4 is a structural diagram of another intelligent guidance device for determining a vehicle diagnosis seat disclosed by an embodiment of the present application;

[0080] Figure 5 is a structural diagram of still another intelligent guidance device for determining a vehicle diagnosis seat disclosed by an embodiment of the present application. DETAILED DESCRIPTION

[0081] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of the present application.

[0082] The terms "first", "second", and the like in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a particular order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or end including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or end.

[0083] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0084] The present application discloses a kind of intelligent guidance method and device for determining vehicle diagnostic seat, can be obtained by comparing vehicle identification and vehicle type parameter with vehicle type data in vehicle type database, and when determining that there is corresponding vehicle type, corresponding diagnostic seat image is directly acquired, and it is analyzed, the diagnostic seat parameter analyzed is output to user, can realize the intelligent guidance of vehicle diagnostic seat, improve the determination efficiency and accuracy of vehicle diagnostic seat. The following are described in detail respectively.

[0085] Embodiment one

[0086] Please refer to Figure 1 , Figure 1 It is a flowchart of the intelligent guidance method for determining vehicle diagnostic seat disclosed in the embodiments of the present application. Among them, Figure 1 The described method can be applied to the intelligent guidance device for determining vehicle diagnostic seat, and the intelligent guidance device can include one of intelligent guidance server (including local server or cloud server), intelligent guidance system and intelligent guidance platform. As Figure 1 The intelligent guidance method can include the following operations:

[0087] 101. When the diagnostic port of the target vehicle needs to be located is detected, the parameters of the target vehicle input by the user are obtained. The parameters of the target vehicle include the vehicle identification number and the vehicle model parameters.

[0088] In this embodiment of the invention, the target vehicle is any vehicle for which the diagnostic port needs to be determined.

[0089] In this embodiment of the invention, optionally, vehicle identification includes VIN and / or brand, etc.; the parameters of the target vehicle also include one or more of the following: the target vehicle's exterior parameters, the target vehicle's interior parameters, model year, and engine displacement, wherein the exterior parameters include exterior size and exterior color; the interior parameters include interior space size, interior color, and the shape and size of interior items, etc. The more vehicle parameters there are, the better the matching efficiency and accuracy of the vehicle model will be.

[0090] 102. Compare the vehicle model parameters and vehicle identifier of the target vehicle with the vehicle model data in the determined vehicle model database to obtain the comparison results. The vehicle model database contains multiple vehicle models.

[0091] 103. When the comparison result is used to indicate that there is a vehicle model in the vehicle model database that matches the target vehicle model, obtain the diagnostic port image that matches the target vehicle from the vehicle model database.

[0092] 104. Analyze the diagnostic port image corresponding to the target vehicle to obtain the diagnostic port parameters of the target vehicle, and output the diagnostic port guidance prompts of the target vehicle to the user. The guidance prompts include the diagnostic port parameters of the target vehicle, which are used to guide the user to determine the diagnostic port of the target vehicle.

[0093] In this embodiment of the invention, optionally, the diagnostic connector parameters include parameters such as shape, color, location in the target vehicle, and structure. Further, the diagnostic connector parameters also include the model number and identification markings. By analyzing the model number and identification markings of the diagnostic connector, users can easily carry the corresponding model cable and directly connect when the diagnostic connector is found.

[0094] In this embodiment of the invention, guidance prompts for the diagnostic connector are output to the user through display and / or voice broadcast. Taking the display as an example, the outline of the target vehicle is displayed through the display module, and the location of the diagnostic connector is indicated by flashing at the corresponding position on the target vehicle.

[0095] It is evident that implementation Figure 1The described intelligent guiding method of determining a vehicle diagnosis seat can realize intelligent guiding of the vehicle diagnosis seat and improve the determination efficiency and accuracy of the vehicle diagnosis seat by comparing the obtained vehicle identification and vehicle model parameters with the vehicle model data in the vehicle model database, directly obtaining the corresponding diagnosis seat image when it is determined that there is a corresponding vehicle model, analyzing the diagnosis seat parameters obtained by analysis, and outputting the diagnosis seat parameters to the user.

[0096] In an optional embodiment, the method can further include the following steps:

[0097] When the comparison result is used to indicate that there is no image data in the vehicle model database that matches the vehicle model of the target vehicle, a prompt for re-entering the information of the target vehicle is output to the user, the prompt containing the information of the target vehicle and input notes for the information of the target vehicle;

[0098] Receiving the information of the target vehicle input by the user, updating the information of the target vehicle as the parameters of the target vehicle, and re-executing the operation of comparing the parameters of the target vehicle with the vehicle model data in the determined vehicle model database to obtain a comparison result.

[0099] In the optional embodiment, optionally, the information of the target vehicle includes the identification of the target vehicle, the vehicle model of the target vehicle, the brand of the target vehicle, etc., and the input notes include attention to capitalization, no space left, inputting the information of the target vehicle within a specified time period, etc.

[0100] It can be seen that the optional embodiment can improve the probability of successful comparison of the vehicle model by further informing the user to re-enter the relevant information of the vehicle according to the regulations when it is determined that the corresponding vehicle model is not found in the vehicle model database, and performing comparison again, thereby improving the probability of successful finding of the vehicle diagnosis seat.

[0101] In the optional embodiment, the method can further include the following steps:

[0102] When the comparison result obtained again is used to indicate that there is no image data in the vehicle model database that matches the vehicle model of the target vehicle, a diagnosis seat acquisition request is sent to the cloud, the diagnosis seat acquisition request including the information of the target vehicle and being used to acquire the diagnosis seat image of the target vehicle;

[0103] After acquiring the diagnosis seat image of the target vehicle sent by the cloud, the diagnosis seat image of the target vehicle is analyzed to obtain the diagnosis seat parameters of the target vehicle.

[0104] In the optional embodiment, acquiring the diagnosis seat image of the target vehicle sent by the cloud can be understood as finding directly to the intelligent guiding device by the cloud, or can be understood as sending the vehicle model data in the vehicle model database of the cloud to the intelligent guiding device for finding by the intelligent guiding device.

[0105] It can be seen that when the matching vehicle model is not found in the vehicle model database again, the optional embodiment can further improve the probability of successfully obtaining the diagnostic seat image of the vehicle by sending a diagnostic seat image acquisition request to the cloud and analyzing the corresponding diagnostic seat image after obtaining it, thereby further improving the success rate of determining the diagnostic seat of the vehicle.

[0106] In another optional embodiment, the diagnostic seat image corresponding to the target vehicle is analyzed to obtain the diagnostic seat parameters of the target vehicle, including:

[0107] According to the diagnostic seat image corresponding to the target vehicle, the contour of the diagnostic seat of the target vehicle, the first feature points inside the contour and the color are recognized;

[0108] The second feature points on the recognized contour of the diagnostic seat of the target vehicle are extracted, and the size, shape, structure and color of the diagnostic seat of the target vehicle are analyzed according to all the extracted second feature points and all the first feature points inside the contour;

[0109] According to the analyzed size, shape, structure and color of the diagnostic seat of the target vehicle, the diagnostic seat parameters of the target vehicle are determined.

[0110] It can be seen that by recognizing the contour, feature points inside the contour, color and feature points on the contour in the diagnostic seat image of the vehicle, the parameters of the diagnostic seat are determined together, which can improve the determination accuracy of the diagnostic seat parameters, thereby improving the determination efficiency of the diagnostic seat position of the vehicle.

[0111] In yet another optional embodiment, before the guide prompt of the diagnostic seat of the target vehicle is output to the user, the method can further include the following steps:

[0112] Obtaining the identification of the diagnostic seat of the target vehicle;

[0113] According to the identification of the diagnostic seat of the target vehicle, the content contained in the diagnostic seat parameters of the target vehicle, the vehicle identification of the target vehicle and the type of the user, the diagnostic seat parameters of the target vehicle are converted into password parameters matched with the user;

[0114] The guide prompt of the diagnostic seat of the target vehicle is output to the user, including:

[0115] The guide prompt of the diagnostic seat of the target vehicle is output to the user in the form of password parameters.

[0116] In the optional embodiment, optionally, the type of the user includes a user with experience less than or equal to a preset period or a user with experience greater than the preset period.

[0117] In the optional embodiment, the identification of the diagnostic seat includes, but is not limited to, appearance identification and color identification; and the password parameter includes parameters in the form of characters, numbers, letters, etc.

[0118] It can be seen that, by combining the identification of the diagnostic seat, the content contained in the diagnostic seat parameter, the vehicle identification, and the user type, the password parameter conversion of the diagnostic seat parameter is performed in the optional embodiment, which can improve the conversion accuracy of the password parameter, thereby improving the guiding accuracy of the guidance prompt of the diagnostic seat, and further improving the efficiency of the user in quickly finding the diagnostic seat.

[0119] In yet another optional embodiment, the method can further include the following steps:

[0120] The retinal condition of the user is obtained, and the vision condition of the user is analyzed according to the obtained retinal condition, the vision condition of the user including the color discrimination ability of the user and the sensitivity of the user to each color;

[0121] According to the analyzed vision condition of the user, it is determined whether the user is a user with color recognition disorder, and when the determination result is yes, the color of the diagnostic seat and the color of the interior item of the target vehicle are corrected according to the vision condition of the user to obtain a color correction result;

[0122] The time period in which the user needs to find the diagnostic seat is collected, and the light intensity change and the angle change of the light in the vehicle interior and the surrounding environment of the vehicle in the time period are determined, and the influence of the change of the ambient light on the color recognition ability of the user is obtained;

[0123] According to the analyzed size, shape, structure, and color of the diagnostic seat of the target vehicle, the diagnostic seat parameter of the target vehicle is determined, including:

[0124] According to the analyzed size, shape, structure, color correction result, light intensity change and angle change of the light in the vehicle interior and the surrounding environment of the vehicle, and influence of the diagnostic seat of the target vehicle, the diagnostic seat parameter of the target vehicle is determined.

[0125] It can be seen that, by analyzing the sensitivity and discrimination ability of the user to color, and combining the analyzed vision condition, the correction result of the diagnostic seat color and the interior item color of the vehicle based on the vision condition, the environmental light intensity and angle change in the time period in which the user actually finds the diagnostic seat, and the influence of the change of the light on the color recognition ability of the user, the diagnostic seat parameter of the vehicle is determined, which can improve the determination accuracy of the diagnostic seat parameter, reduce the influence of the environment on the color recognition of the user, and improve the efficiency of the user in accurately finding the diagnostic seat.

[0126] Embodiment Two

[0127] Please refer to Figure 2 , Figure 2is a flowchart of another intelligent guiding method for determining a diagnostic seat of a vehicle disclosed by the embodiment of the present application. Wherein, Figure 2 The described method can be applied to an intelligent guiding device for determining a diagnostic seat of a vehicle, which can include one of an intelligent guiding server (including a local server or a cloud server), an intelligent guiding system and an intelligent guiding platform. As shown in Figure 2 The intelligent guiding method can include the following operations:

[0128] 201. When it is detected that a diagnostic seat of a target vehicle needs to be found, parameters of the target vehicle input by a user are acquired, the parameters of the target vehicle including a vehicle identification of the target vehicle and a vehicle model parameter of the target vehicle.

[0129] 202. The vehicle model parameter of the target vehicle and the vehicle identification of the target vehicle are compared with vehicle model data in a determined vehicle model database to obtain a comparison result, and the vehicle model database stores a plurality of vehicle models.

[0130] 203. When the comparison result indicates that there is a vehicle model matching the vehicle model of the target vehicle in the vehicle model database, a diagnostic seat image matching the target vehicle is acquired from the vehicle model database.

[0131] 204. The diagnostic seat image corresponding to the target vehicle is analyzed to obtain diagnostic seat parameters of the target vehicle, and a guiding prompt of the diagnostic seat of the target vehicle is output to the user, the guiding prompt including the diagnostic seat parameters of the target vehicle, and the diagnostic seat parameters of the target vehicle are used to guide the user to determine the diagnostic seat of the target vehicle.

[0132] 205. The diagnostic seat of the target vehicle is determined in the position of the target vehicle, and an article layout parameter of an area where the diagnostic seat of the target vehicle is located is collected.

[0133] 206. Parameters of the user are acquired, the parameters of the user including a height of the user, and a guiding mode of the diagnostic seat of the target vehicle is generated according to the collected article layout parameter, the position of the diagnostic seat and the parameters of the user, wherein the guiding mode is used to guide the user to determine the position of the diagnostic seat of the target vehicle.

[0134] It should be noted that other related descriptions of steps 201-204 can refer to the detailed description of steps 101-104 in Embodiment I, and the present embodiment will not be repeated.

[0135] It can be seen that the embodiment Figure 2The described intelligent guiding method of determining a vehicle diagnostic seat can realize intelligent guiding of the vehicle diagnostic seat, improve the determination efficiency and accuracy of the vehicle diagnostic seat, by comparing the obtained vehicle identification and vehicle model parameters with the vehicle model data in the vehicle model database, directly obtaining the corresponding diagnostic seat image when it is determined that there is a corresponding vehicle model, analyzing the diagnostic seat parameters output to the user, and generating the guiding mode of the diagnostic seat by the position of the diagnostic seat in the vehicle, the article layout parameters of the area where the diagnostic seat is located in the vehicle, and the height of the user, thereby improving the generation accuracy of the guiding mode of the diagnostic seat, and further saving the time of the user to find the diagnostic seat.

[0136] In an optional embodiment, the method can further include the following operations:

[0137] According to the position of the diagnostic seat of the target vehicle, the target vehicle door closest to the position of the diagnostic seat of the target vehicle is determined, and the identification of the target vehicle door is updated to the guiding prompt, and the guiding prompt further includes the identification of the target vehicle door.

[0138] When it is detected that the user opens the target vehicle door, the current environmental parameters of the area between the target vehicle door and the position of the diagnostic seat of the target vehicle are collected, and the current environmental parameters include the area environmental light brightness.

[0139] According to the height and line of sight range of the user, the environmental parameters are analyzed to obtain an analysis result, and the analysis result includes the light angle and light intensity of the light from the target vehicle door to the position of the diagnostic seat of the target vehicle.

[0140] According to the analysis result, the guiding mode is adjusted, and the user is guided to determine the diagnostic seat of the target vehicle according to the updated guiding mode.

[0141] In the optional embodiment, the environmental parameters inside the target vehicle are collected by controlling the data collection equipment inside the target vehicle and / or communicating with the mobile device in the hand of the user.

[0142] In the optional embodiment, when it is determined that the diagnostic seat of the target vehicle is found, the user is reminded to connect the diagnostic seat of the target vehicle.

[0143] It can be seen that, in the optional embodiment, the guiding prompt is updated by the door identification closest to the diagnostic seat, which is beneficial to the user to directly open the correct door to find the diagnostic seat as soon as possible; and when it is detected that the user opens the door closest to the diagnostic seat, the light angle and light intensity of the light from the target vehicle door to the position of the diagnostic seat of the target vehicle between the door and the diagnostic seat are analyzed according to the height and line of sight range of the user, the guiding mode of the diagnostic seat is updated, the guiding mode can be adjusted in combination with the indoor environment of the vehicle and the user, the adjustment accuracy of the guiding mode is further improved, and the user can accurately and efficiently find the diagnostic seat.

[0144] Embodiment Three

[0145] Please refer to Figure 3 , Figure 3 is a structural schematic diagram of an intelligent guiding device for determining a vehicle diagnostic seat according to an embodiment of the present application. Wherein, Figure 3 The device described can include one of an intelligent guiding server (including a local server or a cloud server), an intelligent guiding system, and an intelligent guiding platform, and as Figure 3 shown, the device includes:

[0146] The acquisition module 301 is configured to acquire parameters of a target vehicle input by a user when it is detected that a diagnostic seat of the target vehicle needs to be found, the parameters of the target vehicle including a vehicle identification of the target vehicle and a vehicle model parameter of the target vehicle.

[0147] The comparison module 302 is configured to compare the vehicle model parameter of the target vehicle and the vehicle identification of the target vehicle with vehicle model data in a determined vehicle model database to obtain a comparison result, the vehicle model database storing a plurality of vehicle models.

[0148] The acquisition module 301 is further configured to acquire a diagnostic seat image matching the target vehicle from the vehicle model database when the comparison result indicates that there is a vehicle model in the vehicle model database matching the vehicle model of the target vehicle.

[0149] The analysis module 303 is configured to analyze the diagnostic seat image corresponding to the target vehicle to obtain diagnostic seat parameters of the target vehicle.

[0150] The prompt module 304 is configured to output a guiding prompt of the diagnostic seat of the target vehicle to the user, the guiding prompt including the diagnostic seat parameters of the target vehicle, the diagnostic seat parameters of the target vehicle being used to guide the user to determine the diagnostic seat of the target vehicle.

[0151] It can be seen that the embodiment Figure 3 The intelligent guiding device for determining a vehicle diagnostic seat described compares the acquired vehicle identification and vehicle model parameter with vehicle model data in a vehicle model database, and when it is determined that there is a corresponding vehicle model, directly acquires a corresponding diagnostic seat image and analyzes it, and outputs the analyzed diagnostic seat parameters to the user, which can realize intelligent guiding of a vehicle diagnostic seat and improve the determination efficiency and accuracy of a vehicle diagnostic seat.

[0152] In an optional embodiment, the prompt module 304 is further configured to output a prompt for the user to re-input information of the target vehicle when the comparison result indicates that there is no image data in the vehicle model database matching the vehicle model of the target vehicle, the prompt including the information of the target vehicle and input notes for the information of the target vehicle.

[0153] and as shown in Figure 4 The device further comprises:

[0154] The receiving module 305 is configured to receive information of the target vehicle input by the user.

[0155] The updating module 306 is configured to update the information of the target vehicle as parameters of the target vehicle, and trigger the comparison module 302 to re-perform the operation of comparing the parameters of the target vehicle with the vehicle type data in the determined vehicle type database to obtain a comparison result.

[0156] It can be seen that the described intelligent guiding device for determining a vehicle diagnostic seat can further inform the user to re-input the relevant information of the vehicle according to the regulations when it is judged that the corresponding vehicle type is not found in the vehicle type database, and perform the comparison again, which can improve the probability of successful comparison of the vehicle type. Figure 4

[0157] In another optional embodiment, the specific manner in which the analysis module 303 analyzes the diagnostic seat image corresponding to the target vehicle to obtain the diagnostic seat parameters of the target vehicle comprises:

[0158] According to the diagnostic seat image corresponding to the target vehicle, the contour of the diagnostic seat of the target vehicle, the first feature points inside the contour, and the color are recognized.

[0159] The second feature points on the contour of the diagnostic seat of the target vehicle are extracted, and according to all the second feature points and all the first feature points inside the contour, the size, shape, structure, and color of the diagnostic seat of the target vehicle are analyzed.

[0160] According to the size, shape, structure, and color of the diagnostic seat of the target vehicle analyzed, the diagnostic seat parameters of the target vehicle are determined.

[0161] It can be seen that the described intelligent guiding device for determining a vehicle diagnostic seat can further recognize the contour in the diagnostic seat image of the vehicle, the feature points inside the contour, the color, and the feature points on the contour, and jointly determine the parameters of the diagnostic seat, which can improve the determination accuracy of the diagnostic seat parameters, thereby improving the determination efficiency of the position of the vehicle diagnostic seat. Figure 4

[0162] In another optional embodiment, as shown in Figure 4 The obtaining module 301 is further configured to obtain the identifier of the diagnostic seat of the target vehicle before the prompting module 304 prompts the module to output the guiding prompt of the diagnostic seat of the target vehicle to the user.

[0163] and as shown in Figure 4 The device further comprises:

[0164] ​​The conversion module 307 is configured to convert the diagnostic seat parameter of the target vehicle into a password parameter matched with the user according to the identification of the diagnostic seat of the target vehicle, the content contained in the diagnostic seat parameter of the target vehicle, the vehicle identification of the target vehicle, and the type of the user.

[0165] The specific manners in which the prompting module 304 outputs the guidance prompt of the diagnostic seat of the target vehicle to the user include:

[0166] The guidance prompt of the diagnostic seat of the target vehicle is output to the user in the form of the password parameter.

[0167] It can be seen that the implementation of the intelligent guidance device for determining a vehicle diagnostic seat described above can improve the conversion accuracy of the password parameter by converting the diagnostic seat parameter into a password parameter in combination with the identification of the diagnostic seat, the content contained in the diagnostic seat parameter, the vehicle identification, and the type of the user, thereby improving the guidance accuracy of the guidance prompt of the diagnostic seat, and further improving the efficiency of the user in quickly finding the diagnostic seat. Figure 4 In yet another optional embodiment, as shown in

[0168] The acquisition module 301 is further configured to determine the location of the diagnostic seat of the target vehicle. Figure 4

[0169] As shown in Figure 4 The device further includes:

[0170] The acquisition module 301 is further configured to determine the location of the diagnostic seat of the target vehicle.

[0171] The acquisition module 301 is further configured to acquire the parameter of the user, the parameter of the user including the height of the user.

[0172] The generation module 309 is configured to generate a guidance manner of the diagnostic seat of the target vehicle according to the acquired layout parameter of the items, the location of the diagnostic seat, and the parameter of the user, the guidance manner being used to guide the user to determine the location of the diagnostic seat of the target vehicle.

[0173] It can be seen that the implementation of the intelligent guidance device for determining a vehicle diagnostic seat described above can improve the generation accuracy of the guidance manner of the diagnostic seat by generating the guidance manner of the diagnostic seat according to the location of the diagnostic seat in the vehicle, the layout parameter of the items in the area where the diagnostic seat is located in the vehicle, and the height of the user, thereby further saving the time of the user in finding the diagnostic seat. Figure 4 In yet another optional embodiment, as shown in

[0174] The acquisition module 301 is further configured to determine the target vehicle door closest to the location of the diagnostic seat of the target vehicle according to the location of the diagnostic seat of the target vehicle. Figure 4 ​​

[0175] The prompting module 304 is further configured to update the identification of the target vehicle door to the guidance prompt, and the guidance prompt further includes the identification of the target vehicle door.

[0176] The acquisition module 301 is further configured to acquire a current environmental parameter of an area between the target vehicle door and a position of the diagnosis seat of the target vehicle when it is detected that the user opens the target vehicle door, and the current environmental parameter includes an ambient light brightness of the area.

[0177] The analysis module 303 is further configured to analyze the environmental parameter according to the height and the line-of-sight range of the user to obtain an analysis result, and the analysis result includes a light angle and a light intensity of the light from the target vehicle door to the position of the diagnosis seat of the target vehicle.

[0178] The guidance module 310 is configured to adjust the guidance mode according to the analysis result, and guide the user to determine the diagnosis seat of the target vehicle according to the updated guidance mode.

[0179] It can be seen that the implementation Figure 5 The described intelligent guidance device for determining a diagnosis seat of a vehicle can update the guidance prompt by the identification of the vehicle door closest to the diagnosis seat, which is beneficial to the user to directly open the correct door to find the diagnosis seat as soon as possible. When it is detected that the user opens the vehicle door closest to the diagnosis seat, the guidance mode of the diagnosis seat is updated according to the height and the line-of-sight range of the user to analyze the light angle and the light intensity of the light from the target vehicle door to the position of the diagnosis seat of the target vehicle, which can adjust the guidance mode in combination with the indoor environment of the vehicle and the user, further improve the adjustment accuracy of the guidance mode, and then facilitate the user to accurately and efficiently find the diagnosis seat.

[0180] Embodiment Four

[0181] Please refer to Figure 5 , Figure 5 is another structure schematic diagram of the intelligent guidance device for determining a diagnosis seat of a vehicle disclosed by the embodiments of the present application. In the structure, Figure 5 The described device can be included in an intelligent guidance server (including a local server or a cloud server), an intelligent guidance system, and an intelligent guidance platform. As ​ shown, the device can include:

[0182] a memory 401 storing executable program codes;

[0183] a processor 402 coupled with the memory 401;

[0184] Further, it can further include an input interface 403 and an output interface 404 coupled with the processor 402;

[0185] The processor 402 invokes the executable program code stored in the memory 401 to perform part or all of the steps of the intelligent guiding method for determining the vehicle diagnostic seat disclosed in Embodiment One or Embodiment Two.

[0186] Embodiment Six

[0187] The computer storage medium disclosed in the embodiments of the present application stores computer instructions, which, when invoked, are used to perform part or all of the steps of the intelligent guiding method for determining the vehicle diagnostic seat disclosed in Embodiment One or Embodiment Two.

[0188] The device embodiments described above are only illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, i.e., can be located in one place or distributed to multiple network modules. Part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0189] From the specific description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, and the computer software product can be stored in a computer readable storage medium, including Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer readable medium capable of carrying or storing data.

[0190] Finally, it should be noted that: the disclosed embodiment of the application is only a preferred embodiment of the application, and is only used to illustrate the technical solutions of the application, but not to limit it; although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that; It can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application.

Claims

1. A smart guidance method for determining a vehicle diagnostic port, characterized in that, The method includes: When it is detected that the diagnostic port of the target vehicle needs to be located, the parameters of the target vehicle input by the user are obtained. The parameters of the target vehicle include the vehicle identifier and the vehicle model parameters of the target vehicle. The vehicle model parameters and vehicle identifier of the target vehicle are compared with the vehicle model data in the determined vehicle model database to obtain the comparison result. The vehicle model database stores multiple vehicle models. When the comparison result indicates that there is a vehicle model in the vehicle model database that matches the target vehicle model, the diagnostic port image that matches the target vehicle model is obtained from the vehicle model database. The diagnostic port image corresponding to the target vehicle is analyzed to obtain the diagnostic port parameters of the target vehicle, and a guidance prompt for the diagnostic port of the target vehicle is output to the user. The guidance prompt includes the diagnostic port parameters of the target vehicle, which are used to guide the user to determine the diagnostic port of the target vehicle. The method further includes: The user's retinal condition is obtained, and the user's visual acuity is analyzed based on the obtained retinal condition. The user's visual acuity includes the user's ability to distinguish colors and the user's sensitivity to each color. Based on the analyzed vision of the user, it is determined whether the user has a color recognition impairment. If the determination result is yes, the color of the diagnostic seat and the color of the items in the interior of the target vehicle are corrected according to the user's vision to obtain a color correction result. The system collects data on the time period during which the user needs to locate the diagnostic bay, determines the changes in light intensity and angle inside and around the vehicle during that time period, and obtains information on the impact of changes in ambient light on the user's ability to recognize colors. The step of analyzing the diagnostic port image corresponding to the target vehicle to obtain the diagnostic port parameters of the target vehicle includes: Based on the analysis of the size, shape, structure, color correction results of the diagnostic connector of the target vehicle, the changes in light intensity and angle inside and around the target vehicle, and the impact on the user's color recognition ability, the diagnostic connector parameters of the target vehicle are determined.

2. The intelligent guidance method for determining the vehicle diagnostic port according to claim 1, characterized in that, The method further includes: When the comparison result indicates that there is no image data matching the target vehicle model in the vehicle model database, a prompt is output to the user to re-enter the target vehicle information. The prompt includes the target vehicle information and input instructions for the target vehicle information. The system receives the target vehicle information input by the user, updates the target vehicle information to the target vehicle parameters, and re-executes the operation of comparing the target vehicle parameters with the vehicle model data in the determined vehicle model database to obtain the comparison result.

3. The intelligent guidance method for determining the vehicle diagnostic port according to claim 2, characterized in that, The method further includes: When the comparison result obtained again indicates that there is no image data matching the vehicle model in the vehicle model database, a diagnostic port acquisition request is sent to the cloud. The diagnostic port acquisition request includes information about the target vehicle and is used to acquire the diagnostic port image of the target vehicle. After obtaining the diagnostic port image of the target vehicle sent from the cloud, the diagnostic port image of the target vehicle is analyzed to obtain the diagnostic port parameters of the target vehicle.

4. The intelligent guidance method for determining the vehicle diagnostic port according to any one of claims 1-3, characterized in that, The step of analyzing the diagnostic port image corresponding to the target vehicle to obtain the diagnostic port parameters of the target vehicle further includes: Based on the diagnostic port image corresponding to the target vehicle, identify the outline, the first feature point inside the outline, and the color of the diagnostic port of the target vehicle. The second feature points on the outline of the diagnostic port of the target vehicle are extracted, and the size, shape, structure and color of the diagnostic port of the target vehicle are analyzed based on all the extracted second feature points and all the first feature points inside the outline.

5. The intelligent guidance method for determining the vehicle diagnostic port according to claim 4, characterized in that, Before providing guidance on the diagnostic port of the target vehicle to the user, the method further includes: Obtain the identifier of the diagnostic port of the target vehicle; Based on the identifier of the diagnostic port of the target vehicle, the contents of the diagnostic port parameters of the target vehicle, the vehicle identifier of the target vehicle, and the type of the user, the diagnostic port parameters of the target vehicle are converted into password parameters that match the user. The step of providing the user with guidance on the diagnostic port of the target vehicle includes: Using the password parameters, guide the user to the diagnostic port of the target vehicle.

6. The intelligent guidance method for determining the vehicle diagnostic port according to any one of claims 1, 2, 3, and 5, characterized in that, The method further includes: Determine the location of the diagnostic port of the target vehicle in the target vehicle, and collect the item layout parameters of the area where the diagnostic port of the target vehicle is located; The user's parameters, including the user's height, are obtained, and the guidance method for the diagnostic seat of the target vehicle is generated based on the collected item layout parameters, the position of the diagnostic seat, and the user's parameters. The guidance method is used to guide the user to determine the location of the diagnostic port of the target vehicle.

7. The intelligent guidance method for determining the vehicle diagnostic port according to claim 6, characterized in that, The method further includes: Based on the location of the diagnostic port of the target vehicle, determine the target door closest to the location of the diagnostic port of the target vehicle, and update the identification of the target door to the guidance prompt, the guidance prompt also including the identification of the target door; When the user is detected to have opened the target vehicle door, the current environmental parameters of the area between the target vehicle door and the diagnostic bay of the target vehicle are collected. The current environmental parameters include the ambient light intensity of the area. The environmental parameters are analyzed based on the user's height and field of vision to obtain analysis results, including the angle and intensity of light from the target car door to the diagnostic seat of the target vehicle. The guidance method is adjusted based on the analysis results, and the user is guided to determine the diagnostic port of the target vehicle according to the updated guidance method.

8. An intelligent guidance device for determining a vehicle diagnostic port, characterized in that, The device is used to implement the intelligent guidance method for determining a vehicle diagnostic port as described in any one of claims 1-7, the device comprising: The acquisition module is used to acquire the parameters of the target vehicle input by the user when the diagnostic port of the target vehicle is detected to be located. The parameters of the target vehicle include the vehicle identifier and the vehicle model parameters of the target vehicle. The comparison module is used to compare the vehicle model parameters and vehicle identifier of the target vehicle with the vehicle model data in the determined vehicle model database to obtain the comparison result. The vehicle model database stores multiple vehicle models. The acquisition module is further configured to acquire a diagnostic port image matching the target vehicle from the vehicle model database when the comparison result indicates that there is a vehicle model matching the target vehicle in the vehicle model database; The analysis module is used to analyze the diagnostic port image corresponding to the target vehicle to obtain the diagnostic port parameters of the target vehicle. The prompting module is used to output guidance prompts to the user regarding the diagnostic port of the target vehicle. The guidance prompts include the diagnostic port parameters of the target vehicle, which are used to guide the user to determine the diagnostic port of the target vehicle.

9. An intelligent guidance device for determining a vehicle diagnostic port, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent guidance method for determining the vehicle diagnostic port as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, execute the intelligent guidance method for determining the vehicle diagnostic port as described in any one of claims 1-7.

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