A vehicle fault and maintenance information management platform based on data processing

Abstract

The present invention relates to the technical field of automotive fault data processing, and particularly to an automotive fault and maintenance information management platform based on data processing. The present invention is provided with a plurality of information collection terminals, a cloud server, and a plurality of index terminals. A fault database and a location database are constructed through the plurality of information collection terminals. The response category of the fault database is determined by a preprocessing unit in the cloud server. A method for updating the fault database and the location database is selected by an information update unit in the cloud server. An information index library is loaded through the plurality of index terminals, and a target index terminal is selected according to the loading rate. Furthermore, analysis is performed based on the specific data situation of vehicle faults, the data index quantity for indexing the platform is adaptively adjusted, and the operation efficiency of the automotive fault maintenance information management platform is improved.

Description

Technical Field

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

[0002] Driven by the dual factors of the continuous improvement of automotive performance complexity and the continuous growth of the market stock, there is a more efficient demand for vehicle maintenance management. An automotive maintenance management platform can improve the accuracy of fault diagnosis and enhance the transparency of the maintenance process. However, the platform needs to handle a large amount of data requests from a large number of users simultaneously, which will affect the response speed of data and the timeliness of viewing by maintenance personnel. Traditional maintenance management platforms are difficult to meet the service capabilities and efficiency required by today's market. Therefore, improving the rapid indexing of effective data information by the maintenance management platform and enhancing the response efficiency of fault maintenance are urgent problems to be solved.

[0003] For example, Chinese Patent Publication No.: CN118172046A, which discloses a vehicle maintenance management method and system, including: performing vehicle fault location on the initial state image of the vehicle 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 to collect the image of the fault area of the vehicle to be repaired through the positioning target to obtain the fault area image; inputting the fault area image into a preset vehicle fault cause recognition model for fault cause location to 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 following problems also exist in the prior art:

[0005] The prior art does not consider that when the platform indexes and responds to a large amount of data information simultaneously, a large amount of redundant data affects the rapidity of the platform's indexing. The prior art cannot analyze according to the specific data situation of vehicle faults and cannot adaptively adjust the data indexing amount for the platform, affecting the response efficiency of vehicle fault information. Summary of the Invention

[0006] Therefore, the present invention provides an automotive fault and maintenance information management platform based on data processing to overcome the problems that the prior art cannot analyze according to the specific data situation of vehicle faults and cannot adaptively adjust the data indexing amount for the platform.

[0007] To achieve the above object, the present invention provides an automotive fault and maintenance information management platform based on data processing, including:

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

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

[0010] A cloud server, which is connected to a number of information collection terminals, includes a preprocessing unit and an information update unit. 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, so as to select the preprocessing method of the fault database. The preprocessing methods include decentralized processing or extraction processing;

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

[0012] Updating the database after the decentralized processing of the fault database to a first information index library. The decentralized processing includes pixel processing of the picture information and frame number processing of the video stream information;

[0013] Updating the database after the extraction processing of the fault database and the location database to a second information index library;

[0014] A number of index terminals, which are connected to the cloud server, are used to load the first information index library and the second information index library, and select the target index terminal for loading the second information index library according to the loading rate.

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

[0016] Furthermore, the preprocessing 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, it is determined that the associated fault database is a post-response category;

[0018] If the location information does not coincide 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 the preprocessing method of the fault database according to different response categories;

[0020] If the response category is a post-response category, the selected preprocessing method for the fault database is decentralized processing;

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

[0022] Further, the information update unit is used to select an update method, where,

[0023] If the preprocessing method for the fault database is decentralized processing, it is selected to update the database after the decentralized processing of the fault database to the first information index library, and the decentralized processing includes pixel processing of the picture information and frame number processing of the video stream information;

[0024] If the preprocessing method for the fault database is extraction processing, it is selected to update the database after the extraction processing of the fault database and the location database to the second information index library.

[0025] Further, the information update 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 center of each picture sample, and reduce the pixels in the non-feature retention area of each picture sample;

[0026] Among them, the non-feature retention area is the remaining area of the overall area of the picture sample except the feature retention area, and the amount of pixel reduction of the information update unit for the non-feature retention area is positively correlated with the number of picture samples.

[0027] Further, the information update unit is used to obtain the video frame number of the video stream information and reduce the video frame number of the video stream information;

[0028] Among them, the amount of video frame number reduction of the information update unit for the video stream information is positively correlated with the number of picture samples.

[0029] Further, the information update unit is used to update the picture information after reducing the pixels of each picture sample and the video stream information after reducing the video frame number to the first information index library.

[0030] Further, the information update unit is used to extract the text information of the fault database and update the text information and the location database to the second information index library.

[0031] Further, 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 effects of the present invention are as follows. The present invention provides a number of information collection terminals, a cloud server, and a number of index terminals. A fault database and a location database are constructed through the number of information collection terminals, and an association relationship between the location database and the fault database is constructed. The response category of the fault database is determined by a preprocessing unit in the cloud server. The method for updating the fault database and the location database is selected by an information update unit in the cloud server. An information index library is loaded through the number of index terminals, and a target index terminal is selected according to the loading rate. Furthermore, analysis is performed based on the specific data conditions of vehicle faults, the amount of data indexing for indexing the platform is adaptively adjusted, and the operation efficiency of the vehicle fault repair information management platform is improved.

[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 user range of the vehicle fault repair information management platform is relatively wide, and the location can be uploaded according to different faults to determine the urgency of the fault. For users whose vehicle failure location is not at the repair station, they need to obtain timely feedback from the platform, while for users whose vehicle failure location is at the repair station, they 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. Furthermore, analysis is performed based on the specific data conditions of vehicle faults.

[0034] In particular, the present invention selects the preprocessing method of the fault database according to different response categories through the preprocessing unit. Under the condition that the response category is the post-response category, the fault information of the faulty vehicle needs to obtain more comprehensive data information to make the indexed fault information records complete. In order to reduce the redundant indexing amount, the database can be preprocessed by pixel processing of picture information and frame number processing of video stream information to relieve the indexing load of the management platform for simultaneously processing a large number of data requests. Under the condition that the response category is the pre-response category, the fault information of the faulty vehicle needs to obtain a quick indexing response, and the database can be preprocessed by extracting the data in the fault database so that the management platform can respond in a timely manner. Furthermore, the classification processing of vehicle fault data is realized, and the operation efficiency of the vehicle fault repair information management platform is improved.

[0035] In particular, the present invention determines the characteristic retention areas of each picture sample in the picture information through the information update unit, and reduces the pixels of the non-characteristic retention areas of each picture sample. Those skilled in the art can understand that there are usually some key automotive fault details at the center position of the picture sample. Determining the characteristic retention area based on the picture center can ensure that the key fault details are retained, facilitating technicians to view. In the edge area of the picture sample, the image is usually less relevant to fault judgment. Reducing the pixels in the edge area can reduce the irrelevant redundant index quantity and retain the vehicle fault details. Furthermore, without affecting the accuracy of fault information judgment, the index quantity of the picture information is reduced, and the operation efficiency of the automotive fault repair information management platform is improved.

[0036] In particular, the present invention reduces the number of frames of the video stream information through the information update unit. The reduction amount of the 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 vehicle faults can be intuitively and smoothly presented through the video, capturing complex dynamic faults. However, it will also generate a huge data indexing load. The more picture information of vehicle faults, the clearer the vehicle fault details are reflected, and the smaller the demand for video stream information that aids in explaining the fault situation. To reduce the data indexing load, the reduction amount of the video frames can be adjusted more significantly. Conversely, the fewer picture information of vehicle faults, the less clear the vehicle fault details are reflected, and the more video stream information is needed to assist in explaining the fault details. Only a limited reduction adjustment of the video frames can be made. Furthermore, without affecting the accuracy of fault information indexing, the index quantity of the video information is reduced, and the operation efficiency of the automotive fault repair information management platform is improved.

[0037] In particular, the present invention determines the target index terminal by obtaining the loading rates of each index terminal. By comparing the loading rates of each index terminal, the fastest loading channel for loading the fault database can be found, which can ensure that the second information index library is loaded at the fastest speed, improving the receiving rate of the index terminal. Determining the index terminal with the fastest loading rate as the only index terminal for loading the second information index library can avoid multiple index terminals from receiving the same data information repeatedly. Furthermore, the operation efficiency of the automotive fault repair information management platform is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a functional block diagram of the automotive fault and repair information management platform based on data processing according to an embodiment of the present invention;

[0039] Figure 2 It is a logic flowchart for the preprocessing unit to determine the response category of the fault database according to an embodiment of the present invention;

[0040] Figure 3It is a logic flowchart of the preprocessing method for selecting a fault database in the embodiment of the present invention;

[0041] Figure 4 It is a logic flowchart of the information update unit in the embodiment of the present invention for selecting to update the fault database and the location database. Specific embodiments

[0042] In order to make the objectives and advantages of the present invention more clear, the present invention will be 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 will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0044] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for 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, and therefore should not be construed as a limitation of the present invention.

[0045] In addition, it should be noted that in the description of the present invention, unless otherwise clearly defined 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

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

[0047] A number of information collection terminals for collecting fault information to construct a fault database, collecting location information to construct a location database, and constructing an association relationship between the location database and the fault database;

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

[0049] Specifically, the information collection terminal can be a smart phone. Through the smart phone, the collected text information, picture information, and video stream information can be uploaded immediately. As a common mobile device, the smart phone has portability and ease of use and can be connected to the cloud server as an information collection terminal. This is the prior art and will not be elaborated here.

[0050] A cloud server, which is connected to a number of information collection terminals, includes a preprocessing unit and an information updating unit. 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, so as to select the preprocessing method of the fault database. The preprocessing methods include decentralized 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 the prior art and will not be elaborated here.

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

[0053] Updating the database after the decentralized processing of the fault database to a first information index library. The decentralized processing includes pixel processing of the picture information and frame number processing of the video stream information;

[0054] Updating the database after the extraction processing of the fault database and the location database to a second information index library;

[0055] Specifically, the information updating unit is a software algorithm that can extract relevant information from the fault database and the location database, and rebuild the database structure to realize the update of the fault database and the location database. The update of information is the prior art and will not be elaborated here.

[0056] A number of index terminals, which are connected to the cloud server, are used to load the first information index library and the second information index library, and select the target index terminal for loading the second information index library according to the loading rate.

[0057] Specifically, the index terminal can be a data storage device set in a vehicle repair station, which is connected to the cloud server through a wide area network and a local area network, loads the data in the cloud server, and completes the indexing of the data by comparing the loaded data with the data stored in itself. The indexing of data is the prior art and will not be elaborated here.

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

[0059] Specifically, the cloud server further 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 stations pre-stored in the storage unit can be determined by collecting the longitude and latitude of the information collection terminal and the maintenance stations. The longitude and latitude can accurately identify the geographical location where the vehicle breaks down and the geographical location of the maintenance stations. This is the prior art and will not be elaborated here.

[0061] Specifically, please refer to Figure 2 , which is a logic flowchart of the response category of the fault database associated with the determination of the preprocessing unit in the embodiment of the present invention. The preprocessing 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;

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

[0063] If the location information does not coincide 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 user range of the vehicle fault repair information management platform is relatively wide, and the location can be uploaded according to different faults to determine the urgency of the fault. For users whose vehicle breaks down at a location other than the repair station, they need to obtain timely feedback from the platform, while users whose vehicle breaks down at the repair station 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 the analysis according to the specific data situation of the vehicle fault.

[0065] Specifically, please refer to Figure 3 shown, which is a logic flowchart of the preprocessing unit in the embodiment of the present invention for selecting the preprocessing method of the fault database. The preprocessing unit is further 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 preprocessing method of the fault database is selected as decentralized processing;

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

[0068] Specifically, in the present invention, the preprocessing unit selects the preprocessing method for the fault database according to different response categories. Under the condition that the response category is a post-response category, more comprehensive data information needs to be obtained for the fault information of the faulty vehicle so that the indexed fault information records are complete. In order to reduce the redundant index quantity, the database can be preprocessed by pixel processing of the picture information and frame number processing of the video stream information, alleviating the index load of the management platform for simultaneously processing a large amount of data requests. Under the condition that the response category is a pre-response category, the fault information of the faulty vehicle needs to be quickly indexed and responded. The database can be preprocessed by extracting the data in the fault database so that the management platform can respond in a timely manner. Furthermore, the classified processing of vehicle fault data is realized, and the operation efficiency of the vehicle fault repair information management platform is improved.

[0069] Specifically, please refer to Figure 4 , which is a logic flowchart for the information update unit of the embodiment of the present invention to select the update of the fault database and the location database. The information update unit is used to select the update method, where

[0070] If the preprocessing method of the fault database is distributed processing, then it is selected to update the database after the distributed processing of the fault database to the first information index library. The distributed processing includes pixel processing of the picture information and frame number processing of the video stream information;

[0071] If the preprocessing method of the fault database is extraction processing, then it is selected to update the database after the extraction processing of the fault database and the location database to the second information index library.

[0072] Specifically, the information update 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 center of each picture sample, and reduce the pixels of the non-feature retention area of each picture sample;

[0073] Among them, the non-feature retention area is the remaining area of the overall area of the picture sample except the feature retention area. The pixel reduction amount of the non-feature retention area by the information update 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 detail retention area in the picture sample. The value range of the ratio k can be set as [0.3, 0.6]. Here, a preferred value of the ratio k is provided as k = 0.5, and the size of the preset radius value r is calculated. For example, when k = 0.5, r = (0.5 × S / π)1 / 2 , where S is the area of the picture sample, and π is a constant.

[0075] Specifically, the present invention determines the feature retention areas of each picture sample in the picture information through the information update unit, and reduces the pixels in the non-feature retention areas of each picture sample. Those skilled in the art can understand that there are usually some key vehicle fault details at the center position of the picture sample. Determining the feature retention area based on the picture center can ensure that the key fault details are retained for technicians to view. The edge area of the picture sample is usually an image with low relevance to fault judgment. Reducing the pixels in the edge area can reduce the amount of irrelevant redundant index, and retain the vehicle fault details. Furthermore, without affecting the accuracy of fault information judgment, the index amount of the picture information is reduced, and the operation efficiency of the vehicle fault repair information management platform is improved.

[0076] Specifically, the reduction amount of the 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 the picture information will generate a certain amount of data index. The more the number of picture samples, the greater the data index. To relieve the data index load brought by a larger number of picture samples, the pixels in the non-feature retention area can be reduced to a greater extent.

[0077] Specifically, the information update 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;

[0078] Among them, the reduction amount of the number of video frames of the video stream information by the information update unit is positively correlated with the number of picture samples.

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

[0080] Specifically, the present invention reduces the number of frames of video stream information through the information update unit. The reduction amount of the video frames of the video stream information is positively correlated with the number of picture samples. Those skilled in the art can understand that through the video, the specific situation of vehicle faults can be intuitively and smoothly presented, and complex dynamic faults can be captured. However, it will also generate a huge data indexing load. The more picture information of vehicle faults, the clearer the details of vehicle faults are reflected, and the smaller the demand for video stream information that serves as an auxiliary explanation of the fault situation. In order to reduce the data indexing load, the reduction amount of video frames can be adjusted more greatly. On the contrary, the less picture information of vehicle faults, the less clear the details of vehicle faults are reflected, and the more video stream information is needed to assist in explaining the fault details. Only a limited reduction adjustment of video frames can be made. Furthermore, without affecting the accuracy of fault information indexing, the indexing amount of video information is reduced, and the operating efficiency of the vehicle fault repair information management platform is improved.

[0081] Specifically, the information update unit is used to update the picture information after reducing the pixels of each picture sample and the video stream information after reducing the number of video frames into the first information index library.

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

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

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

[0085] Specifically, the present invention determines the target indexing terminal by obtaining the loading rates of each indexing terminal. By comparing the loading rates of each indexing terminal, the fastest loading channel for loading the fault database can be found, which can ensure that the second information index library is loaded at the fastest speed, improve the receiving rate of the indexing terminal, and determine the indexing terminal with the fastest loading rate as the only indexing terminal for loading the second information index library, which can avoid multiple indexing terminals from receiving the same data information repeatedly. Furthermore, the operating efficiency of the vehicle fault repair information management platform is improved.

[0086] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art 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 are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An automobile fault and maintenance information management platform based on data processing, characterized in that Including: A number of information collection terminals for collecting fault information to construct a fault database, collecting location information to construct a location database, and constructing 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 number of information collection terminals, including a preprocessing unit and an information update unit. 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, so as to select the preprocessing method of the fault database. The preprocessing methods include decentralized processing or extraction processing; Wherein, if the location information coincides with the location information of any maintenance station, it is determined that the associated fault database is a post-response category, and the preprocessing method of the fault database is selected as decentralized processing; If the location information does not coincide with the location information of any maintenance station, it is determined that the associated fault database is a pre-response category, and the preprocessing method of the fault database is selected as extraction processing; The information update unit is used to select the method for updating the fault database and the location database based on the preprocessing method, including, Updating the database after the decentralized processing of the fault database to a first information index library. The decentralized processing includes pixel processing of the picture information and frame number processing of the video stream information; Updating the database after the extraction processing of the fault database and the location database to a second information index library; A number of index terminals connected to the cloud server for loading the first information index library and the second information index library, and selecting the target index terminal for loading the second information index library according to the loading rate; Each index terminal is 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.

2. The vehicle fault and maintenance information management platform based on data processing according to claim 1, wherein 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 vehicle fault and maintenance information management platform based on data processing according to claim 2, characterized in that, The information update unit is used to select the update method, wherein, If the preprocessing method of the fault database is decentralized processing, select to update the database after the decentralized processing of the fault database to a first information index library; If the preprocessing method of the fault database is extraction processing, select to update the database after the extraction processing of the fault database and the location database to a second information index library.

4. The vehicle fault and maintenance information management platform based on data processing according to claim 3, characterized in that The information update 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 center of each picture sample, and reduce the pixels in the non-feature retention area of each picture sample; Wherein, the non-feature retention area is the remaining area of the overall area of the picture sample except the feature retention area, and the amount of pixel reduction of the information update unit for the non-feature retention area is positively correlated with the number of picture samples.

5. The vehicle fault and maintenance information management platform based on data processing according to claim 4, wherein, The information update 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; Among them, the reduction amount of the number of video frames of the video stream information by the information update unit is positively correlated with the number of picture samples.

6. The vehicle fault and maintenance information management platform based on data processing according to claim 5, characterized in that, The information update unit is used to update the picture information after reducing the pixels of each picture sample and the video stream information after reducing the number of video frames into the first information index library.

7. The vehicle fault and maintenance information management platform based on data processing according to claim 3, wherein The information update unit is used to extract the text information of the fault database and update the text information and the location database into the second information index library.

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