Automobile Hybrid Diagnosis System Based on Cloud Integration

Abstract

The present invention discloses an automotive hybrid diagnostic system based on cloud integration, belonging to the technical field of automobiles, which includes a terminal module, a diagnostic module, a data transmission module and an adjustment module; the terminal module is used to establish a connection with the vehicle; the diagnostic module is used to execute corresponding diagnostic modes according to the connection method between the terminal module and the vehicle; after the diagnostic mode is determined, the data transmission module collects vehicle information data through an inter-network connector, temporarily stores the collected data, and the data transmission module mutually transmits the data between the cloud service and the inter-network connector of the vehicle to obtain diagnostic data; the adjustment module records the diagnostic data transmitted by the inter-network connector to the cloud service, and adjusts the diagnostic mode of the subsequent vehicle according to the position information of the vehicle. By obtaining vehicle information data in advance, it is determined whether the diagnosis of the preceding vehicle is completed based on the time of the preceding vehicle's diagnostic data backhaul and the moving position of the subsequent vehicle, so as to change the diagnostic mode of the subsequent vehicle.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobiles, and particularly relates to an automotive hybrid diagnostic system based on cloud integration. Background Art

[0002] The concept of intelligent connected vehicles has gradually penetrated into end customers, and the vehicles designed and developed by vehicle manufacturers are becoming more and more intelligent. Currently, the usage scenarios of vehicles have also changed accordingly, and customers' use of vehicles has become more diverse from the original simple driving function. Advanced in-vehicle entertainment systems, network connection services and other configurations provide rich entertainment experiences for passengers. To achieve this function, new bus communication technologies and architecture design solutions are needed to support the complexity of function configurations.

[0003] Currently, the basic diagnostic method is based on wired diagnosis, but the editing of diagnostic programs cannot achieve autonomous control, and there is a situation of being restricted by foreign suppliers. Moreover, the more complex the electronic components of the vehicle are, the more diagnostic time is required during production. Furthermore, in order to reduce the manufacturing cost, manufacturers will produce different types of vehicles on the same production line, resulting in a large amount of time consumed in diagnostic time. Summary of the Invention

[0004] In view of the above problems existing in the prior art, the present invention provides an automotive hybrid diagnostic system based on cloud integration. By obtaining vehicle information data in advance, determining whether the diagnosis of the preceding vehicle is completed based on the time of the preceding vehicle's diagnostic data transmission back and the moving position of the subsequent vehicle, and changing the diagnostic mode of the subsequent vehicle in real time, the problem that different types of vehicles are produced on the same production line, resulting in a large amount of time consumed in diagnostic time, is solved.

[0005] The present invention is realized through the following technical solutions:

[0006] An automotive hybrid diagnostic system based on cloud integration includes a terminal module 100, a diagnostic module 200, a data transmission module 300 and an adjustment module 400, wherein:

[0007] The terminal module 100 is used to establish a connection with the vehicle;

[0008] The diagnostic module 200 is used to execute corresponding diagnostic modes according to the connection method between the terminal module 100 and the vehicle;

[0009] After the diagnostic mode is determined, the data transmission module 300 collects vehicle information data through an inter-network connector, temporarily stores the collected data, and the data transmission module 300 transmits the data between the cloud service and the inter-network connector of the vehicle to obtain diagnostic data;

[0010] The adjustment module 400 records the diagnostic data transmitted by the inter-network connector to the cloud service, and adjusts the diagnostic mode of subsequent vehicles according to the location information of the vehicle.

[0011] As a further improvement of this technical solution, the diagnostic module 200 includes a near-field diagnostic unit 210 and a vehicle self-diagnostic unit 220. Among them, the near-field diagnostic unit 210 is connected to the vehicle through the terminal module 100, and the vehicle self-diagnostic unit 220 is connected to the cloud stand between the vehicle and the terminal module 100 through the terminal module 100.

[0012] As a further improvement of this technical solution, the data transmission module 300 includes a temporary storage unit 310, and the temporary storage unit 310 is used to collect and store vehicle information data during the connection process between the terminal module 100 and the vehicle.

[0013] As a further improvement of this technical solution, the data transmission module 300 further includes a data encryption unit 320, and the data encryption unit 320 is used to encrypt the data transmitted by the data transmission module.

[0014] As a further improvement of this technical solution, the adjustment module 400 includes a data feedback recording unit 410, a positioning unit 420, and a diagnostic selection unit 430, where:

[0015] The data feedback recording unit 410 is used to record the time of the diagnostic data transmitted by the inter-network connector to the cloud service;

[0016] The positioning unit 420 is used to record the distance between the vehicle and the terminal module 100;

[0017] When the distance between the vehicle and the terminal module 100 reaches a specified distance and the data feedback recording unit does not record diagnostic data, the diagnostic selection unit 430 switches the vehicle to a diagnostic mode different from that of the previous vehicle through the diagnostic module 200.

[0018] As a further improvement of this technical solution, it further includes a prediction module 500. The prediction module 500 includes a data feedback statistics unit 510 and a data analysis unit 520, where:

[0019] The data feedback statistics unit 510 is used to record the information cycle of the mutual transmission between the cloud service and the inter-network connector;

[0020] The data analysis unit 520 is used to divide different vehicles according to the vehicle data stored in the temporary storage unit, and bind different vehicles to the corresponding information cycle to obtain the diagnostic efficiency information of the vehicles.

[0021] As a further improvement of the technical solution, the information cycle is the cycle in which the cloud service sends data to the inter-network connector and the inter-network connector sends back diagnostic data to the cloud service.

[0022] As a further improvement of the technical solution, the prediction module 500 further includes a data comparison unit 530, and the data comparison unit 530 is used to compare the diagnostic efficiency information of the vehicle in the temporary storage unit 310 to obtain a comparison result.

[0023] As a further improvement of the technical solution, the data analysis unit 520 is further used to mark the incorrect diagnostic information in the temporary storage unit to obtain the failure rate of the vehicles on this production line.

[0024] As a further improvement of the technical solution, the data analysis unit 520 adopts the Analyse algorithm, and its algorithm formula is as follows:

[0025]

[0026] In the formula, fault represents the failure rate of the vehicles on this production line; Z represents the total number of vehicles on this production line; Y represents the number of vehicles with failures on this production line.

[0027] Compared with the prior art, the advantages of the present invention are as follows:

[0028] The vehicle hybrid diagnostic system based on cloud integration of the present invention determines whether the diagnosis of the preceding vehicle is completed by obtaining vehicle information data in advance, the time for the preceding vehicle to send back diagnostic data, and the moving position of the subsequent vehicle, so as to timely change the diagnostic mode of the subsequent vehicle, and solves the problem that different types of vehicles are produced on the same production line, resulting in a large amount of time consumption in the diagnostic time. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0030] Figure 1 It is a schematic diagram of the overall module working process of the present invention;

[0031] Figure 2 It is a schematic diagram of the working process of the terminal module of the present invention;

[0032] Figure 3 It is a schematic diagram of the working process of the data transmission module of the present invention;

[0033] Figure 4Schematic diagram of the working process of the adjustment module of the present invention;

[0034] Figure 5 Schematic diagram of the working process of the prediction module of the present invention.

[0035] The meanings of the various labels in the figure are as follows:

[0036] 100, terminal module;

[0037] 200, diagnosis module; 210, near-field diagnosis unit; 220, vehicle self-diagnosis unit;

[0038] 300, data transmission module; 310, temporary storage unit; 320, data encryption unit;

[0039] 400, adjustment module; 410, data feedback recording unit; 420, positioning unit; 430, diagnosis selection unit;

[0040] 500, prediction module; 510, data feedback statistics unit; 520, data analysis unit; 530, data comparison unit. Specific implementation manners

[0041] To clearly and completely describe the technical solution of the present invention and its specific working process, in combination with the accompanying drawings of the specification, the specific implementation manners of the present invention are as follows:

[0042] In the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", "connected", "fixed", etc. shall be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0043] In the present invention, unless otherwise clearly defined and limited, the first feature being "on" or "under" the second feature can be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on" the second feature can be that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is at a higher horizontal height than the second feature. The first feature being "under", "beneath" and "under" the second feature can be that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is at a lower horizontal height than the second feature.

[0044] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0045] Embodiment 1

[0046] Refer to Figure 1 As shown, it is the system block diagram of the vehicle hybrid diagnosis system based on cloud integration provided by this embodiment. The vehicle hybrid diagnosis system includes a terminal module 100, a diagnosis module 200, a data transmission module 300, and an adjustment module 400, where:

[0047] The terminal module 100 is used to establish a connection with the vehicle. There are two connection methods. One is to connect the vehicle to the terminal module 100 in a wired manner, and the diagnosis mode of this connection method is near-field diagnosis. The other is to wirelessly connect the terminal module 100 to the cloud platform stand and perform wireless communication with the vehicle through the cloud platform stand. The diagnosis mode of this connection method is vehicle self-diagnosis;

[0048] The diagnosis module 200 executes the corresponding diagnosis mode according to the connection method between the terminal module 100 and the vehicle;

[0049] After the diagnosis mode is determined, the data transmission module 300 collects the vehicle information data through the network connector, temporarily stores the collected data, and the data transmission module 300 transmits the data between the cloud service and the network connector of the vehicle to each other to obtain the diagnosis data;

[0050] The adjustment module 400 records the diagnosis data transmitted from the network connector to the cloud service, and adjusts the subsequent vehicle's diagnosis mode according to the vehicle's position information. By obtaining the vehicle information data in advance, it determines whether the diagnosis of the preceding vehicle is completed based on the time of the preceding vehicle's diagnosis data transmission back and the moving position of the subsequent vehicle, and timely changes the subsequent vehicle's diagnosis mode.

[0051] As Figure 2As shown, the diagnostic module 200 includes a near-field diagnostic unit 210 and a vehicle self-diagnostic unit 220. Among them, the near-field diagnostic unit 210 is directly connected to the vehicle through the terminal module 100, and the vehicle self-diagnostic unit 220 is connected to the vehicle through a cloud platform frame between the terminal module 100 and the vehicle. The cloud platform frame refers to the cloud platform. Since the vehicle is not directly connected to the terminal module 100, after the cloud platform obtains the vehicle data, complex processing can be performed in the cloud to complete the diagnosis of the vehicle.

[0052] Further, as Figure 3 shown, the data transmission module 300 includes a temporary storage unit 310. During the connection process between the terminal module 100 and the vehicle, the temporary storage unit 310 collects and stores the vehicle information data to reduce the time for data acquisition and improve the overall diagnostic efficiency.

[0053] Still further, as Figure 4 shown, the adjustment module 400 includes a data feedback recording unit 410, a positioning unit 420, and a diagnostic selection unit 430, where:

[0054] The data feedback recording unit 410 records the time of the diagnostic data transmitted by the inter-network connector to the cloud service;

[0055] The positioning unit 420 records the distance between the vehicle and the terminal module 100;

[0056] When the distance between the vehicle and the terminal module 100 reaches a specified distance and the data feedback recording unit 410 does not record the diagnostic data, the diagnostic selection unit 430 switches the vehicle to a diagnostic mode different from that of the previous vehicle through the diagnostic module 200. After the cloud service sends the specified execution data to the inter-network connector, the vehicle starts to diagnose, and then the diagnostic data is transmitted back to the cloud service through the data transmission module 300. During this process, the data feedback recording unit 410 records the time of the transmitted diagnostic data, and then obtains the distance between the vehicle and the terminal module 100. When the vehicle reaches the specified distance and has not received the diagnostic data of the previous vehicle, it indicates that the previous vehicle has not completed the diagnosis. Therefore, the diagnostic selection unit 430 can select a diagnostic mode different from that of the previous vehicle for diagnosis, and the two different diagnostic modes are used in combination to improve the diagnostic efficiency.

[0057] Embodiment 2

[0058] This embodiment is optimized on the basis of the first embodiment. Considering that different types of vehicles may appear on a production line, resulting in the staff not being able to select the diagnostic mode in time. Thus, as Figure 5As shown, it further includes a prediction module 500, and the prediction module 500 includes a data feedback statistics unit 510 and a data analysis unit 520, where:

[0059] The data feedback statistics unit 510 records the information cycle of the mutual transmission between the cloud service and the network connector;

[0060] The data analysis unit 520 divides different vehicles according to the vehicle data stored in the temporary storage unit 310, and binds different vehicles to the corresponding information cycles to obtain the diagnostic efficiency information of the vehicles;

[0061] The diagnosis selection unit 430 adjusts the diagnosis mode of subsequent vehicles according to the diagnostic efficiency information of the vehicles to remind the staff in advance. By utilizing the characteristic of storing data in the temporary storage unit 310, the vehicle model-related information in the data is obtained, and the vehicle model is bound to the information cycle, so that each vehicle model information has a diagnosis time. When the diagnosis time of the current vehicle is too long, it can be predicted through the prediction module 500, so as to switch the diagnosis mode in time.

[0062] In addition, the information cycle is the cycle of the network connector sending diagnostic data back to the cloud service after the cloud service sends data to the network connector.

[0063] Furthermore, in order to improve the security during data transmission, the data transmission module 300 further includes a data encryption unit 320, and the data encryption unit 320 encrypts the data transmitted by the data transmission module 300. Encryption can prevent the phenomenon that other people steal the data during data transmission.

[0064] Embodiment 3

[0065] This embodiment is implemented on the basis of the second embodiment. Considering that the advantage of hybrid diagnosis lies in improving the diagnostic efficiency, and the same vehicle model will undergo different detections. In order to further improve the diagnostic efficiency, the prediction module 500 further includes a data comparison unit 530. The data comparison unit 530 compares the diagnostic efficiency information of the vehicles in the temporary storage unit 310 to obtain a comparison result;

[0066] The diagnosis selection unit 430 selects the diagnosis mode of the vehicle according to the comparison result, compares the two diagnostic efficiency information of the same vehicle model, and selects the diagnostic mode with the fastest efficiency, so as to further improve the diagnostic efficiency.

[0067] In addition, the data analysis unit 520 marks the incorrect diagnostic information in the temporary storage unit 310 to obtain the failure rate of the vehicles on this production line.

[0068] In addition, the data analysis unit 520 adopts the Analyse algorithm, and its algorithm formula is as follows:

[0069]

[0070] In the formula, fault represents the failure rate of the vehicles on this production line; Z represents the total number of vehicles on this production line; Y represents the number of vehicles that have failed on this production line.

[0071] The preferred embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0072] In addition, it should be noted that, in the various specific technical features described in the above specific embodiments, they can be combined in any appropriate manner without conflict. To avoid unnecessary repetition, the present invention will not separately describe various possible combination methods.

[0073] In addition, any combination can be made between various different embodiments of the present invention as long as it does not violate the idea of the present invention, and it should also be regarded as the content disclosed by the present invention.

Claims

1. An automotive hybrid diagnostic system based on cloud integration, characterized in that, It includes a terminal module (100), a diagnostic module (200), a data transmission module (300), and an adjustment module (400), where: The terminal module (100) is used to establish a connection with the vehicle; The diagnostic module (200) is used to execute a corresponding diagnostic mode according to the connection method between the terminal module (100) and the vehicle; After the diagnostic mode is determined, the data transmission module (300) collects vehicle information data through an inter-network connector, temporarily stores the collected data, and the data transmission module (300) transmits data between the cloud service and the inter-network connector of the vehicle to obtain diagnostic data; The adjustment module (400) records the diagnostic data transmitted from the inter-network connector to the cloud service, and adjusts the diagnostic mode of subsequent vehicles according to the location information of the vehicle; The adjustment module (400) includes a data feedback recording unit (410), a positioning unit (420), and a diagnostic selection unit (430), where: The data feedback recording unit (410) is used to record the time of the diagnostic data transmitted from the inter-network connector to the cloud service; The positioning unit (420) is used to record the distance between the vehicle and the terminal module (100); When the distance between the vehicle and the terminal module (100) reaches a specified distance and the data feedback recording unit does not record the diagnostic data of the previous vehicle, the diagnostic selection unit (430) switches the vehicle to a diagnostic mode different from that of the previous vehicle through the diagnostic module (200).

2. The vehicle hybrid diagnostic system based on cloud integration according to claim 1, wherein The diagnostic module (200) includes a near-field diagnostic unit (210) and a vehicle self-diagnostic unit (220). Among them, the near-field diagnostic unit (210) is connected to the vehicle through the terminal module (100), and the vehicle self-diagnostic unit (220) is connected to the vehicle through a pan-tilt frame between the terminal module (100) and the vehicle.

3. The cloud-based integrated automotive hybrid diagnostic system according to claim 1, characterized in that, The data transmission module (300) includes a temporary storage unit (310), and the temporary storage unit (310) is used to collect and store vehicle information data during the connection process between the terminal module (100) and the vehicle.

4. The cloud-based integrated automotive hybrid diagnostic system according to claim 1, characterized in that, The data transmission module (300) also includes a data encryption unit (320), and the data encryption unit (320) is used to encrypt the data transmitted by the data transmission module.

5. The cloud-based integrated automotive hybrid diagnostic system according to claim 1, characterized in that, It further includes a prediction module (500), and the prediction module (500) includes a data feedback statistics unit (510) and a data analysis unit (520), where: The data feedback statistics unit (510) is used to record the information cycle of the data transmitted between the cloud service and the inter-network connector; The data analysis unit (520) is used to divide different vehicles according to the vehicle data stored in the temporary storage unit, and bind different vehicles to the corresponding information cycle to obtain the diagnostic efficiency information of the vehicles.

6. The vehicle hybrid diagnostic system based on cloud integration as claimed in claim 5, wherein The information cycle is the cycle in which the inter-network connector transmits diagnostic data back to the cloud service after the cloud service sends data to the inter-network connector.

7. The cloud-based integrated automotive hybrid diagnostic system according to claim 5, characterized in that, The prediction module (500) further includes a data comparison unit (530), and the data comparison unit (530) is configured to compare the diagnostic efficiency information of the vehicle in the temporary storage unit (310) to obtain a comparison result.

8. The vehicle hybrid diagnostic system based on cloud integration according to claim 5, characterized in that The data analysis unit (520) is further configured to mark the incorrect diagnostic information in the temporary storage unit to obtain the failure rate of the production line vehicles.

9. The cloud-based integrated automotive hybrid diagnostic system according to claim 5, wherein, The data analysis unit (520) adopts the Analyse algorithm, and its algorithm formula is as follows: In the formula, fault represents the failure rate of the production line vehicles; Z represents the total number of vehicles on the production line; Y represents the number of vehicles with failures on the production line.

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