Automobile fault and maintenance information management platform based on data processing

Abstract

The invention relates to the technical field of automobile fault data processing, in particular to an automobile fault and maintenance information management platform based on data processing, which is provided with a plurality of information collection terminals, a cloud server and a plurality of index terminals. The response category of the fault database is judged through a preprocessing unit in the cloud server, the mode of updating the fault database and the position database is selected through an information updating unit in the cloud server, an information index database is loaded through a plurality of index terminals, a target index terminal is selected according to the loading rate, and then the fault database and the position database are updated. According to the invention, analysis is carried out according to the specific data condition of the vehicle fault, the data indexing quantity for indexing the platform is adaptively adjusted, and the operation efficiency of the vehicle fault maintenance information management platform is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile fault data processing, and in particular to an automobile fault and maintenance information management platform based on data processing. Background Art

[0002] Driven by the increasing complexity of automobile performance and the continued growth of the market ownership, more efficient vehicle maintenance management is required. The automobile maintenance management platform can improve the accuracy of fault diagnosis and enhance the transparency of the maintenance process. However, the platform needs to process massive data requests from a large number of users at the same time, which will affect the response speed of the data and the timeliness of maintenance personnel's viewing. Traditional maintenance management platforms are difficult to meet the service capabilities and efficiency required by today's market. Therefore, improving the maintenance management platform's rapid indexing of effective data information and improving the response efficiency of fault repairs are urgent issues to be addressed.

[0003] For example, Chinese Patent Publication No.: CN118172046A, the invention discloses a vehicle maintenance management method and system, including: locating vehicle faults on the vehicle initial state image to obtain the vehicle fault area; controlling the electric push rod in the vehicle maintenance device to illuminate the vehicle fault area; based on the vehicle position data and the vehicle fault area, controlling the camera through the locator target to collect the fault area image of the vehicle to be repaired to obtain the fault area image; inputting the fault area image into a preset vehicle fault cause recognition model to locate the fault cause and obtain the vehicle fault cause; matching the vehicle maintenance strategy based on the vehicle fault cause, and transmitting the vehicle maintenance strategy and the fault area image to the image display terminal of the vehicle maintenance device for data display.

[0004] The prior art still has the following problems:

[0005] The existing technology does not take into account that when the platform indexes and responds to massive amounts of data information at the same time, a large amount of redundant data affects the speed of the platform's indexing. The existing technology cannot analyze based on the specific data conditions of the vehicle failure, and cannot adaptively adjust the amount of data indexed by the platform, which affects the efficiency of responding to vehicle failure information. Summary of the invention

[0006] To this end, the present invention provides a car fault and maintenance information management platform based on data processing to overcome the problem that the prior art cannot analyze according to the specific data conditions of the vehicle fault and cannot adaptively adjust the amount of data indexed on the platform.

[0007] To achieve the above objectives, the present invention provides an automobile failure and maintenance information management platform based on data processing, comprising:

[0008] Several information collection terminals, used to collect fault information to build a fault database, collect location information to build a location database, and build an association relationship between the location database and the fault database;

[0009] Wherein, the fault database includes text information, picture information and video stream information;

[0010] A cloud server connected to a plurality of information collection terminals, comprising a preprocessing unit and an information updating unit, wherein the preprocessing unit is used to receive the fault database and the location database, determine the response category of the associated fault database based on the location information, and select a preprocessing method for the fault database, wherein the preprocessing method includes distributed processing or extraction processing;

[0011] The information updating unit is used to select a method for updating the fault database and the location database based on the preprocessing method, including:

[0012] The fault database after decentralized processing is updated as a first information index library, wherein the decentralized processing includes pixel processing of the image information and frame number processing of the video stream information;

[0013] The database after the fault database is extracted and the location database are updated into a second information index database;

[0014] A plurality of index terminals are connected to the cloud server and used for loading the first information index library and the second information index library, and selecting a target index terminal for loading the second information index library according to a loading rate.

[0015] Furthermore, the cloud server also includes a storage unit connected to the preprocessing unit for pre-storing the location information of each maintenance station.

[0016] Furthermore, the pre-processing unit is used to obtain the location information collected by each information collection terminal, and compare the location information with the location information of each maintenance station;

[0017] If the location information coincides with the location information of any maintenance station, determining that the associated fault database is a post-response category;

[0018] If the location information does not overlap with the location information of any maintenance station, it is determined that the associated fault database is a pre-response category.

[0019] Furthermore, the preprocessing unit is also used to select a preprocessing method for the fault database according to different response categories;

[0020] If the response category is a post-response category, the pre-processing method of the fault database is selected as distributed processing;

[0021] If the response category is a pre-response category, the pre-processing method of the fault database is selected as extraction processing.

[0022] Furthermore, the information updating unit is used to select an updating method, wherein:

[0023] If the preprocessing method of the fault database is decentralized processing, then the database after the decentralized processing of the fault database is updated as the first information index library, wherein the decentralized processing includes pixel processing of the image information and frame number processing of the video stream information;

[0024] If the preprocessing method of the fault database is extraction processing, the database after the fault database is extracted and the location database are selected to be updated as the second information index database.

[0025] Furthermore, the information updating unit is used to obtain a plurality of picture samples in the picture information, determine a feature retention area with a preset radius value based on the picture center of each picture sample, and reduce the pixels of the non-feature retention area of ​​each picture sample;

[0026] The non-feature retention area is the remaining area of ​​the entire area of ​​the picture sample except the feature retention area, and the pixel reduction amount of the non-feature retention area by the information updating unit is positively correlated with the number of picture samples.

[0027] Furthermore, the information updating unit is used to obtain the number of video frames of the video stream information and reduce the number of video frames of the video stream information;

[0028] The amount by which the information updating unit reduces the number of video frames of the video stream information is positively correlated with the number of picture samples.

[0029] Furthermore, the information updating unit is used to update the picture information after pixel reduction of each picture sample and the video stream information after video frame number reduction into the first information index library.

[0030] Furthermore, the information updating unit is used to extract text information from the fault database, and update the text information and the location database into a second information index library.

[0031] Furthermore, each index terminal is also used to obtain the loading rate of the second information index library within a preset time period, determine the index terminal corresponding to the maximum loading rate as the target index terminal; and use the target index terminal as the only index terminal for loading the second information index library.

[0032] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention sets up several information collection terminals, cloud servers and several index terminals, constructs a fault database and a location database through the several information collection terminals, and constructs an association relationship between the location database and the fault database, determines the response category of the fault database through the preprocessing unit in the cloud server, selects the way to update the fault database and the location database through the information update unit in the cloud server, loads the information index library through several index terminals and selects the target index terminal according to the loading rate, thereby realizing analysis according to the specific data situation of the vehicle fault, adaptively adjusting the data index amount for indexing the platform, and improving the operation efficiency of the automobile fault repair information management platform.

[0033] In particular, the present invention determines the response category of the associated fault database according to the location information through the preprocessing unit. Those skilled in the art can understand that the automobile fault repair information management platform has a wide range of users, and can determine the urgency of the fault according to the upload locations of different faults. For users whose vehicles fail at locations other than repair stations, they need to obtain timely feedback from the platform, while users whose vehicles fail at repair stations need to obtain more comprehensive data information to make the indexed fault information records complete. The present invention determines the response category of the fault database according to the location information through the preprocessing unit, and further realizes analysis based on the specific data conditions of the vehicle fault.

[0034] In particular, the present invention selects a preprocessing method for the fault database according to different response categories through a preprocessing unit. Under the condition that the response category is a post-response category, the fault information of the faulty vehicle needs to obtain more comprehensive data information so that the indexed fault information record is complete. In order to reduce the amount of redundant indexes, the database can be preprocessed by performing pixel processing on the image information and frame processing on the video stream information to alleviate the index load of the management platform for simultaneously processing massive data requests. Under the condition that the response category is a pre-response category, the fault information of the faulty vehicle needs to obtain an index response quickly. The database can be preprocessed by extracting data from the fault database so that the management platform can respond in time, thereby realizing the classification processing of vehicle fault data and improving the operating efficiency of the automobile fault repair information management platform.

[0035] In particular, the present invention determines the feature retention area of ​​each picture sample in the image information through the information updating unit, and reduces the pixels of the non-feature retention area of ​​each picture sample. Those skilled in the art can understand that there are usually some key automobile fault details at the center of the picture sample. Determining the feature retention area based on the center of the picture can ensure that the key fault details are retained, which is convenient for technical personnel to view. The edge area of ​​the picture sample is usually an image with low correlation with fault judgment. Reducing the pixels of the edge area can reduce the amount of irrelevant redundant indexes and retain the vehicle fault details. Furthermore, it is achieved that the index amount of the image information is reduced without affecting the accuracy of the fault information judgment, thereby improving the operating efficiency of the automobile fault repair information management platform.

[0036] In particular, the present invention reduces the number of video stream information frames through an information update unit, and the amount of reduction in the number of video frames of the video stream information is positively correlated with the number of picture samples. Those skilled in the art can understand that the specific situation of the vehicle failure can be intuitively and smoothly displayed through video, and complex dynamic failures can be captured, but it will also generate a huge data index load. The more image information of the vehicle failure, the clearer the reflection of the details of the vehicle failure, and the smaller the demand for video stream information to assist in explaining the failure situation. In order to reduce the data index load, the amount of reduction in the number of video frames can be adjusted to a greater extent. Conversely, the less image information of the vehicle failure, the less clear the reflection of the details of the vehicle failure, and the more video stream information is needed to assist in explaining the details of the failure. The number of video frames can only be reduced and adjusted to a limited extent. Furthermore, the index amount of video information is reduced without affecting the accuracy of the fault information index, thereby improving the operating efficiency of the automobile fault repair information management platform.

[0037] In particular, the present invention obtains the loading rate of each index terminal to determine the target index terminal. By comparing the loading rates of each index terminal, the fastest loading channel for loading the fault database can be found, thereby ensuring that the second information index library is loaded at the fastest speed, improving the receiving rate of the index terminal, and determining the index terminal with the fastest loading rate as the only index terminal for loading the second information index library, which can avoid multiple index terminals from repeatedly receiving the same data information, thereby improving the operating efficiency of the automobile fault repair information management platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a functional block diagram of an automobile failure and maintenance information management platform based on data processing according to an embodiment of the present invention;

[0039] Figure 2 A logic flow chart of a preprocessing unit determining a response category of a fault database according to an embodiment of the present invention;

[0040] Figure 3A logic flow chart of a preprocessing method for selecting a fault database by a preprocessing unit according to an embodiment of the present invention;

[0041] Figure 4 A logic flow chart for updating a fault database and a location database selected by an information updating unit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0044] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0045] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0046] See also Figure 1 As shown, it is a functional block diagram of an automobile fault and maintenance information management platform based on data processing according to an embodiment of the present invention. An automobile fault and maintenance information management platform based on data processing according to the present invention comprises:

[0047] Several information collection terminals, used to collect fault information to build a fault database, collect location information to build a location database, and build an association relationship between the location database and the fault database;

[0048] Wherein, the fault database includes text information, picture information and video stream information;

[0049] Specifically, the information collection terminal can be a smart phone, and the collected text information, picture information and video stream information can be uploaded instantly through the smart phone. As a common mobile device, the smart phone is portable and easy to use, and can be used as an information collection terminal to connect to the cloud server. This is an existing technology and will not be repeated here.

[0050] A cloud server connected to a plurality of information collection terminals, comprising a preprocessing unit and an information updating unit, wherein the preprocessing unit is used to receive the fault database and the location database, determine the response category of the associated fault database based on the location information, and select a preprocessing method for the fault database, wherein the preprocessing method includes distributed processing or extraction processing;

[0051] Specifically, a cloud server is a virtual server based on cloud computing technology, which provides users with scalable computing resources and storage services through the Internet. This is an existing technology and will not be described in detail here.

[0052] The information updating unit is used to select a method for updating the fault database and the location database based on the preprocessing method, including:

[0053] The fault database after decentralized processing is updated as a first information index library, wherein the decentralized processing includes pixel processing of the image information and frame number processing of the video stream information;

[0054] The database after the fault database is extracted and the location database are updated into a second information index database;

[0055] Specifically, the information updating unit is a software algorithm that can extract relevant information from the fault database and the location database, and re-establish the database structure to update the fault database and the location database. The information updating is a prior art and will not be described in detail here.

[0056] A plurality of index terminals are connected to the cloud server and used for loading the first information index library and the second information index library, and selecting a target index terminal for loading the second information index library according to a loading rate.

[0057] Specifically, the indexing terminal can be a data storage device installed in a vehicle maintenance station, which is connected to the cloud server through a wide area network and a local area network, loads data from the cloud server, and compares the loaded data with the data stored in itself to complete the data indexing. Data indexing is a prior art and will not be repeated here.

[0058] Specifically, the plurality of index terminals are also connected to a display terminal, and the display terminal is used to display the information contents in the loaded first information index library and the second information index library.

[0059] Specifically, the cloud server also includes a storage unit connected to the preprocessing unit for pre-storing the location information of each maintenance station.

[0060] Specifically, the location information collected by the information collection terminal and the location information of the maintenance station pre-stored in the storage unit can be determined by collecting the longitude and latitude of the information collection terminal and the maintenance station. The longitude and latitude can accurately identify the geographical location of the vehicle failure and the geographical location of the maintenance station. This is the prior art and will not be repeated here.

[0061] Specifically, see Figure 2 , which is a logic flow chart of a preprocessing unit in an embodiment of the present invention determining a response category of an associated fault database, wherein the preprocessing unit is used to obtain location information collected by each information collection terminal and compare the location information with the location information of each maintenance station;

[0062] If the location information coincides with the location information of any maintenance station, determining that the associated fault database is a post-response category;

[0063] If the location information does not overlap with the location information of any maintenance station, it is determined that the associated fault database is a pre-response category.

[0064] Specifically, the present invention determines the response category of the associated fault database according to the location information through the preprocessing unit. Those skilled in the art can understand that the automobile fault repair information management platform has a wide range of users, and can determine the urgency of the fault according to the upload locations of different faults. For users whose vehicles fail at locations other than repair stations, they need to obtain timely feedback from the platform, while users whose vehicles fail at repair stations need to obtain more comprehensive data information to make the indexed fault information records complete. The present invention determines the response category of the fault database according to the location information through the preprocessing unit, and further realizes analysis based on the specific data conditions of the vehicle fault.

[0065] Specifically, see Figure 3 As shown, it is a logic flow chart of the preprocessing method of the fault database selected by the preprocessing unit in the embodiment of the present invention, and the preprocessing unit is also used to select the preprocessing method of the fault database according to different response categories;

[0066] If the response category is a post-response category, the pre-processing method of the fault database is selected as distributed processing;

[0067] If the response category is a pre-response category, the pre-processing method of the fault database is selected as extraction processing.

[0068] Specifically, the present invention selects a preprocessing method for the fault database according to different response categories through a preprocessing unit. Under the condition that the response category is a post-response category, the fault information of the faulty vehicle needs to obtain more comprehensive data information so that the indexed fault information record is complete. In order to reduce the amount of redundant indexes, the database can be preprocessed by performing pixel processing on the image information and frame processing on the video stream information to alleviate the index load of the management platform for simultaneously processing massive data requests. Under the condition that the response category is a pre-response category, the fault information of the faulty vehicle needs to obtain an index response quickly. The database can be preprocessed by extracting data from the fault database so that the management platform can respond in time. Furthermore, the classification processing of vehicle fault data is realized, and the operating efficiency of the automobile fault repair information management platform is improved.

[0069] Specifically, see Figure 4 , which is a logic flow chart of the information updating unit in an embodiment of the present invention selecting to update the fault database and the location database, wherein the information updating unit is used to select the updating method, wherein:

[0070] If the preprocessing method of the fault database is decentralized processing, then the database after the decentralized processing of the fault database is updated as the first information index library, wherein the decentralized processing includes pixel processing of the image information and frame number processing of the video stream information;

[0071] If the preprocessing method of the fault database is extraction processing, the database after the fault database is extracted and the location database are selected to be updated as the second information index database.

[0072] Specifically, the information updating unit is used to obtain a number of picture samples in the picture information, determine a feature retention area with a preset radius value r based on the picture center of each picture sample, and reduce the pixels of the non-feature retention area of ​​each picture sample;

[0073] The non-feature retention area is the remaining area of ​​the entire area of ​​the picture sample except the feature retention area, and the pixel reduction amount of the non-feature retention area by the information updating unit is positively correlated with the number of picture samples.

[0074] Specifically, the value of the preset radius value r can be determined according to the ratio k of the feature retention area to the area of ​​the picture sample. The larger the ratio k of the feature retention area to the area of ​​the picture sample, the larger the area of ​​the image details retained in the picture sample. The value range of the ratio k can be set to [0.3, 0.6]. Here, a preferred value k=0.5 of the ratio k is provided, and the size of the preset radius value r is calculated. For example, when k=0.5, r=(0.5×S / π)1 / 2 , S is the sample image area, and π is a constant.

[0075] Specifically, the present invention determines the feature retention area of ​​each picture sample in the image information through an information updating unit, and reduces the pixels of the non-feature retention area of ​​each picture sample. Those skilled in the art can understand that there are usually some key automobile fault details at the center of the picture sample. Determining the feature retention area based on the center of the picture can ensure that the key fault details are retained, which is convenient for technical personnel to view. The edge area of ​​the picture sample is usually an image with low correlation with fault judgment. Reducing the pixels of the edge area can reduce the amount of irrelevant redundant indexes and retain the vehicle fault details. Furthermore, it is achieved that the index amount of the image information is reduced without affecting the accuracy of the fault information judgment, thereby improving the operating efficiency of the automobile fault repair information management platform.

[0076] Specifically, the amount of reduction in pixels in the non-feature retention area processed by the information update unit is positively correlated with the number of picture samples. Those skilled in the art can understand that picture information will generate a certain amount of data index. The more picture samples there are, the greater the amount of data index. In order to alleviate the data index load brought by a large number of picture samples, the pixels in the non-feature retention area can be reduced to a large extent.

[0077] Specifically, the information updating unit is used to obtain the number of video frames of the video stream information, and to reduce the number of video frames of the video stream information;

[0078] The amount by which the number of video frames of the video stream information is reduced by the information updating unit is positively correlated with the number of picture samples.

[0079] Specifically, the number of video frames in the video stream information can be reduced by equipping the information update unit with a GPU to process the video stream information and encode and decode the video stream information.

[0080] Specifically, the present invention reduces the number of video stream information frames through an information update unit, and the amount of reduction in the number of video frames of the video stream information is positively correlated with the number of picture samples. Those skilled in the art can understand that the specific situation of the vehicle failure can be intuitively and smoothly displayed through video, and complex dynamic failures can be captured, but it will also generate a huge data index load. The more picture information of the vehicle failure, the clearer the reflection of the details of the vehicle failure, and the smaller the demand for video stream information to assist in explaining the failure situation. In order to reduce the data index load, the amount of reduction in the number of video frames can be adjusted to a greater extent. Conversely, the less picture information of the vehicle failure, the less clear the reflection of the details of the vehicle failure, and the more video stream information is needed to assist in explaining the details of the failure. The number of video frames can only be reduced and adjusted to a limited extent. Furthermore, the index amount of video information is reduced without affecting the accuracy of the fault information index, thereby improving the operating efficiency of the automobile fault repair information management platform.

[0081] Specifically, the information updating unit is used to update the picture information after the pixel reduction of each picture sample and the video stream information after the video frame number reduction into the first information index library.

[0082] Specifically, the information updating unit is used to extract text information from the fault database, and update the text information and the location database into a second information index library.

[0083] Specifically, those skilled in the art can understand that, among text information, picture information and video stream information, text information generates the smallest amount of indexes, which meets the need for quickly uploading fault information to the platform so that the platform can respond quickly.

[0084] Specifically, each index terminal is also used to obtain the loading rate of the second information index library within a preset time period, determine the index terminal corresponding to the maximum loading rate as the target index terminal; and use the target index terminal as the only index terminal for loading the second information index library.

[0085] Specifically, the present invention obtains the loading rate of each index terminal to determine the target index terminal. By comparing the loading rates of each index terminal, the fastest loading channel for loading the fault database can be found, thereby ensuring that the second information index library is loaded at the fastest speed, improving the receiving rate of the index terminal, and determining the index terminal with the fastest loading rate as the only index terminal for loading the second information index library, which can avoid multiple index terminals from repeatedly receiving the same data information, thereby improving the operating efficiency of the automobile fault repair information management platform.

[0086] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0087] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A vehicle failure and maintenance information management platform based on data processing, characterized in that: include: Several information collection terminals, used to collect fault information to build a fault database, collect location information to build a location database, and build an association relationship between the location database and the fault database; Wherein, the fault database includes text information, picture information and video stream information; A cloud server connected to a plurality of information collection terminals, comprising a preprocessing unit and an information updating unit, wherein the preprocessing unit is used to receive the fault database and the location database, determine the response category of the associated fault database based on the location information, and select a preprocessing method for the fault database, wherein the preprocessing method includes distributed processing or extraction processing; The information updating unit is used to select a method for updating the fault database and the location database based on the preprocessing method, including: The fault database after decentralized processing is updated as a first information index library, wherein the decentralized processing includes pixel processing of the image information and frame number processing of the video stream information; The database after the fault database is extracted and the location database are updated into a second information index database; A plurality of index terminals are connected to the cloud server and used for loading the first information index library and the second information index library, and selecting a target index terminal for loading the second information index library according to a loading rate.

2. The automobile failure and maintenance information management platform based on data processing according to claim 1 is characterized in that: The cloud server also includes a storage unit connected to the preprocessing unit for pre-storing the location information of each maintenance station.

3. The automobile failure and maintenance information management platform based on data processing according to claim 2 is characterized in that: The pre-processing unit is used to obtain the location information collected by each information collection terminal, and compare the location information with the location information of each maintenance station; If the location information coincides with the location information of any maintenance station, determining that the associated fault database is a post-response category; If the location information does not overlap with the location information of any maintenance station, it is determined that the associated fault database is a pre-response category.

4. The automobile failure and maintenance information management platform based on data processing according to claim 3 is characterized in that: The preprocessing unit is also used to select a preprocessing method for the fault database according to different response categories; If the response category is a post-response category, the pre-processing method of the fault database is selected as distributed processing; If the response category is a pre-response category, the pre-processing method of the fault database is selected as extraction processing.

5. The automobile failure and maintenance information management platform based on data processing according to claim 4 is characterized in that: The information updating unit is used to select an updating method, wherein: If the pre-processing method of the fault database is decentralized processing, then updating the database of the fault database after decentralized processing as the first information index database; If the preprocessing method of the fault database is extraction processing, the database after the fault database is extracted and the location database are selected to be updated as the second information index database.

6. The automobile failure and maintenance information management platform based on data processing according to claim 5 is characterized in that: The information updating unit is used to obtain a number of picture samples in the picture information, determine a feature retention area with a preset radius value based on the picture center of each picture sample, and reduce the pixels of the non-feature retention area of ​​each picture sample; The non-feature retention area is the remaining area of ​​the entire area of ​​the picture sample except the feature retention area, and the pixel reduction amount of the non-feature retention area by the information updating unit is positively correlated with the number of picture samples.

7. The automobile failure and maintenance information management platform based on data processing according to claim 6 is characterized in that: The information updating unit is used to obtain the number of video frames of the video stream information and reduce the number of video frames of the video stream information; The amount by which the information updating unit reduces the number of video frames of the video stream information is positively correlated with the number of picture samples.

8. The automobile failure and maintenance information management platform based on data processing according to claim 7 is characterized in that: The information updating unit is used to update the picture information after the pixel reduction of each picture sample and the video stream information after the video frame number reduction into the first information index library.

9. The automobile failure and maintenance information management platform based on data processing according to claim 5 is characterized in that: The information updating unit is used to extract the text information of the fault database, and update the text information and the location database into a second information index library.

10. The automobile failure and maintenance information management platform based on data processing according to claim 9 is characterized in that: Each index terminal is also used to obtain the loading rate of the second information index library within a preset time period, determine the index terminal corresponding to the maximum loading rate as the target index terminal, and use the target index terminal as the only index terminal for loading the second information index library.

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