Data backup system and method

Abstract

The invention discloses a data backup system and method, and relates to the technical field of private cloud storage. A mobile phone cloud storage client is configured to send a data request of a user; the vehicle-mounted network module is configured to access the mobile phone cloud storage client and forward a data request sent by the mobile phone cloud storage client to the vehicle-mounted information entertainment system; the vehicle-mounted information entertainment system is configured to schedule the data request to the vehicle-mounted AI chip; the vehicle-mounted AI chip is configured to perform intelligent analysis, arrangement and optimization on the data request to form an access request for data stored in the vehicle-mounted storage module; and the vehicle-mounted storage module is configured to respond to a data request of the mobile phone cloud storage client based on the access request. According to the data backup system and method provided by the invention, the problem that the existing cloud service highly depends on an external network is solved, and the stability and availability of the service are improved.

Description

Technical Field

[0001] This application relates to the field of private cloud storage technology, and in particular to data backup systems and methods. Background Technology

[0002] With the widespread adoption of smartphones, personal data (including photos, videos, audio, and documents) has exploded. Users typically rely on public cloud storage services (such as iCloud, Google Drive, and Baidu Cloud) for data backup. However, existing public cloud storage relies on centralized servers, requiring data to be transmitted over the public internet and stored in remote data centers. This presents challenges such as limited transmission speeds, unstable network environments, and high risks of data leaks and privacy breaches. Furthermore, mobile phones have limited local storage space, and data loss is easily possible if the device is damaged.

[0003] On the other hand, the level of intelligence in new energy vehicles is constantly improving, and they are generally equipped with high-performance AI chips (such as Qualcomm 8295, Huawei MDC, and NVIDIA Orin) and large-capacity solid-state storage devices. These computing and storage resources are mainly used for in-vehicle navigation, multimedia playback, and autonomous driving perception computing, and are not fully used to provide users with personal data management services. The existing interconnection between in-vehicle systems and mobile phones is mostly achieved through Bluetooth, USB, or in-vehicle interconnection apps (such as CarPlay and CarLife). The functions are mainly limited to media playback, navigation information synchronization, or small-scale file projection, and cannot support large-scale data backup, intelligent classification and organization, and cross-scenario retrieval.

[0004] Furthermore, current technologies lack solutions for utilizing in-vehicle infotainment systems as personal private cloud storage nodes. Users cannot achieve high-speed local backup of mobile phone data through simple interactive methods, nor can they perform AI-based automatic organization, indexing, and analysis on the in-vehicle infotainment system side. The storage and computing resources of the in-vehicle infotainment system are idle, the user experience is inconvenient, and the need for secure and efficient management of private data has not been effectively addressed. Summary of the Invention

[0005] The purpose of this invention is to provide a data backup system and method that solves the problem of existing cloud services being highly dependent on external networks, thereby improving the stability and availability of the services.

[0006] This invention provides the following solution:

[0007] According to one aspect of the present invention, a data backup system is provided, the data backup system comprising: a mobile cloud storage client, an in-vehicle network module, an in-vehicle infotainment system, an in-vehicle AI chip, and an in-vehicle storage module;

[0008] The mobile cloud storage client is configured to send data requests to the user;

[0009] The vehicle network module is configured to access the mobile cloud storage client and forward the data requests sent by the mobile cloud storage client to the vehicle infotainment system;

[0010] The in-vehicle infotainment system is configured to route data requests to the in-vehicle AI chip;

[0011] The in-vehicle AI chip is configured to intelligently analyze, organize, and optimize data requests, thereby generating access requests for data stored in the in-vehicle storage module;

[0012] The vehicle storage module is configured to respond to data requests from mobile cloud storage clients based on access requests.

[0013] Optionally, the in-vehicle AI chip can intelligently analyze, organize, and optimize the multimedia data backed up to the in-vehicle storage module.

[0014] Optional intelligent analysis, organization, and optimization include: image / video analysis, audio analysis, data deduplication and compression, content summarization and indexing.

[0015] Optional image / video analysis includes: using deep learning models for scene recognition, object recognition, face recognition, OCR, and automatic generation of keyword tags.

[0016] Optional audio analysis includes: converting voice memos and in-vehicle recordings to text and identifying the speaker.

[0017] Optional data deduplication and compression include: intelligently identifying duplicate files and deduplicating them, performing lossless or lossy compression on non-critical data, and optimizing storage space utilization.

[0018] Optional, content summaries and indexes include: automatically generating summaries for long videos or documents, establishing an efficient index structure, and facilitating quick retrieval for users.

[0019] Optionally, the in-vehicle infotainment system, acting as the core server of the private cloud storage, is responsible for receiving, managing, and distributing data, and coordinating the AI ​​chip for data processing.

[0020] Optionally, the vehicle network module is responsible for local area network communication between the mobile phone and the vehicle's infotainment system, creating a secure private network environment.

[0021] According to a second aspect of the present invention, a data backup method is provided, the data backup method comprising:

[0022] Send the user's data request;

[0023] Access the mobile cloud storage client and forward the data requests sent by the mobile cloud storage client to the in-vehicle infotainment system;

[0024] Data requests are routed to the in-vehicle AI chip;

[0025] The system intelligently analyzes, organizes, and optimizes data requests to generate access requests for data stored in the vehicle's onboard storage module.

[0026] Based on the access request, respond to the data request from the mobile cloud storage client.

[0027] The above solution achieves the following beneficial technical effects:

[0028] 1. Achieve centralized management and convenient access to personal data: Through mobile cloud storage clients, in-vehicle network modules, and in-vehicle private cloud services, users' mobile phone content can be directly and securely backed up to the vehicle, forming a dedicated private cloud. The intelligent processing of the in-vehicle AI chip further optimizes data organization, and combined with the in-vehicle wake-up mechanism, users can conveniently access and manage data anytime, anywhere via a mobile app, solving the problems of data dispersion and inconvenient access in existing technologies.

[0029] 2. Significantly Enhanced User Experience and Operational Efficiency: The intuitive interface and automated backup function of the mobile client, combined with the high-speed transmission of the in-vehicle network, avoid the cumbersome and inefficient nature of traditional USB or Bluetooth transmission. Users can complete data backup and management without complicated operations, greatly increasing users' willingness and efficiency in data backup.

[0030] 3. Make full use of the computing power of in-vehicle AI chips: Apply in-vehicle AI chips to the intelligent organization, analysis and retrieval of personal multimedia data, extend the powerful computing power originally used mainly for driving assistance to the field of user data services, turn "idle computing power" into "useful services", and solve the problem of insufficient utilization of AI computing power in existing technologies.

[0031] 4. Enhanced User Data Privacy and Security: Data backup is completed directly within the vehicle's private network environment and stored in an encrypted in-vehicle storage module, eliminating the need to upload user data to third-party cloud platforms. This "private cloud" model fundamentally reduces the risk of data breaches, giving users greater control over their personal data and resolving potential privacy and security vulnerabilities associated with existing cloud backup services.

[0032] 5. Reduced reliance on external networks: Communication between the mobile phone and the vehicle's infotainment system is primarily conducted through the vehicle's local area network (LAN), and data transmission does not depend on external cellular networks. This ensures smooth data backup and access even in areas with unstable or no network signals (such as underground parking lots or mountainous areas), resolving the issue of existing cloud services' high dependence on external networks and improving service stability and availability. Attached Figure Description

[0033] Figure 1This is a structural diagram of a data backup system provided in one or more embodiments of the present invention;

[0034] Figure 2 This is a structural diagram of a data backup system provided in one or more embodiments of the present invention;

[0035] Figure 3 This is a structural diagram of a data backup system provided in one or more embodiments of the present invention;

[0036] Figure 4 This is a flowchart of a data backup method provided by one or more embodiments of the present invention. Detailed Implementation

[0037] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] This application proposes a method for controlling a sunshade. Figure 1 The overall architecture of the data backup system is shown. See also Figure 1 The data backup system includes the following components: mobile cloud storage client 10, vehicle network module 21, vehicle infotainment system (vehicle unit) 22, vehicle AI chip 23 and vehicle storage module 24.

[0039] The basic working principle of this system is as follows: users connect to the vehicle's infotainment system via the vehicle network through a mobile cloud storage client to back up their mobile data to the vehicle's storage module. The onboard AI chip intelligently processes the backed-up data, and users can wake up the vehicle's infotainment system and access the data at any time through the mobile client.

[0040] Mobile Cloud Storage Client 10 is an app that can be installed on mobile devices.

[0041] This app, installed on the user's phone, serves as the interface for interaction between the user and the vehicle's private cloud. It is responsible for scanning local files on the phone (such as photos, videos, documents, contacts, etc.) and provides selective or automatic backup functions.

[0042] The client has a built-in file scanning engine that can intelligently identify the content to be backed up based on user settings (such as file type, size, and time). It establishes a secure connection with the vehicle's network module and employs technologies such as data chunking and resume capability to ensure stable and efficient data transmission. The client also provides data browsing, searching, downloading, and deleting management functions, and can display backup progress and storage status in real time.

[0043] The vehicle network module 21 is responsible for local area network communication between the mobile phone and the vehicle's infotainment system, building a secure private network environment.

[0044] This module integrates a Wi-Fi hotspot function and can be supplemented with Bluetooth Low Energy (BLE) for proximity discovery and wake-up. The mobile client connects to the SSID broadcast by the in-vehicle network module via Wi-Fi and performs WPA3 and other encryption authentication to ensure communication security. This module prioritizes in-vehicle local area network communication and does not rely on external cellular networks.

[0045] It should be noted that, in various embodiments of the present invention, the mobile client can access the system configured in the vehicle not only via Wi-Fi, but also via wired connections such as USB. Furthermore, the mobile client can also access the vehicle system via V2X networks.

[0046] Since mobile clients have multiple network access options, the vehicle network module 21 provided in this embodiment of the invention also needs to be equipped with various network access capabilities. In other words, local area network access is only one option among the access methods of the vehicle network module 21. When the mobile client no longer chooses this access method, the vehicle network module 21 should adapt to the mobile client's access method accordingly.

[0047] The in-vehicle infotainment system 22, acting as the core server of the private cloud storage, is responsible for receiving, managing, and distributing data, and coordinating the AI ​​chip for data processing.

[0048] The vehicle's infotainment system embeds a private cloud service program. This program listens for data transmission requests from the vehicle's network module and receives backup data streams from mobile clients. It is responsible for creating user-specific storage space (e.g., creating a separate encrypted partition on the vehicle's hard drive) and managing data indexes and metadata. When the mobile app wakes up the vehicle's infotainment system, this program is responsible for starting relevant services and responding to data access requests.

[0049] As the central hub of the entire system, the in-vehicle infotainment system enables "centralized management of personal data" and provides a platform for subsequent intelligent processing and data security.

[0050] The in-vehicle AI chip 23 intelligently analyzes, organizes, and optimizes the multimedia data backed up to the in-vehicle storage module.

[0051] New energy vehicles are typically equipped with high-performance AI chips (such as NVIDIA Drive Orin, Qualcomm Snapdragon Ride, etc.). Once the data backup is complete, the vehicle's infotainment system schedules the AI ​​chip to execute background tasks.

[0052] (1) Image / Video Analysis: Use deep learning models for scene recognition, object recognition, face recognition, and OCR (Optical Character Recognition) to automatically generate keyword tags.

[0053] (2) Audio analysis: Perform speech-to-text (ASR) on voice memos and in-vehicle recordings to identify the speaker.

[0054] (3) Data deduplication and compression: Intelligently identify duplicate files and deduplicate them, perform lossless or lossy compression on non-critical data, and optimize storage space utilization.

[0055] Content summaries and indexes: Automatically generate summaries for long videos or documents, and establish an efficient index structure for easy and quick retrieval by users.

[0056] Thanks to the in-vehicle AI chip, the vehicle's idle computing power is fully utilized, and through intelligent organization and indexing, the efficiency and experience of centralized management and convenient access to personal data are greatly improved.

[0057] The on-board storage module 24 provides a large-capacity, highly reliable data storage space.

[0058] The vehicle-mounted storage module 24 uses automotive-grade solid-state drives (SSDs) or eMMC storage, featuring high read / write speeds and shock and high-temperature resistance. To ensure data security, the storage module employs multi-layer encryption (such as AES-256) for user data and can utilize RAID redundancy technology or data verification mechanisms to prevent data loss. Each user's data is stored in an independent encrypted partition, and access is controlled through user authentication.

[0059] The vehicle storage module 24 provides a secure and reliable local storage medium, which is the foundation for enhancing user data privacy and security, and ensures the physical realization of centralized management of personal data.

[0060] Additionally, it should be noted that the system provided in this embodiment is equipped with a vehicle-mounted wake-up mechanism.

[0061] Specifically, it allows mobile clients to remotely or locally wake up the vehicle's infotainment system when it is in sleep mode in order to access data.

[0062] Furthermore, the vehicle wake-up mechanism provided in this embodiment has the distinction between remote wake-up and local wake-up.

[0063] First, let's explain near-field wake-up. When a mobile phone is near a vehicle, the mobile app can send a Bluetooth Low Energy (BLE) signal to wake up the vehicle's network module, thereby activating the vehicle's infotainment system to enter a low-power operating mode and wait for Wi-Fi connection.

[0064] Compared to near-field wake-up, remote wake-up involves more network elements and is more complex.

[0065] Specifically, if the vehicle is connected to the internet, the mobile app can send commands through the automaker's cloud service platform, which will then forward them to the vehicle's remote control module to remotely wake up the infotainment system. This wake-up will only activate necessary services to minimize energy consumption.

[0066] By equipping the vehicle with near-field wake-up and remote wake-up, it ensures that users can wake up the vehicle system anytime, anywhere to access data when needed, greatly improving user experience and operational efficiency.

[0067] It should be noted that, in addition to near-field wake-up and remote wake-up, the system is also equipped with other wake-up methods. In some possible implementations, the vehicle system can also be woken up using NFC or biometric authentication.

[0068] Figure 2 This is a system architecture diagram of a data backup system provided in one or more embodiments of the present invention. See also Figure 2 The data backup system includes: mobile cloud storage client 10, vehicle network module 21, vehicle infotainment system (vehicle unit) 22, vehicle AI chip 23 and vehicle storage module 24.

[0069] The biggest difference from the foregoing embodiments of the present invention is that the data backup system also includes: cloud AI 30.

[0070] From the data backup process, it can be seen that some of the AI ​​computing functions that originally belonged to the in-vehicle AI chip have been migrated to the cloud AI 30.

[0071] It should be understood that among the various components in a vehicle, the onboard AI chip bears the heaviest computational load. This is mainly because the data backed up by users through their phones contains a large number of tasks that require the AI ​​chip to perform, such as identification, classification, and summarization. However, the current AI infrastructure in vehicles is relatively simple. To better meet the AI ​​computing demands of user data backup while preventing the vehicle's physical components from becoming overloaded and causing unnecessary accidents, some of the computational tasks of the onboard AI chip are being migrated to cloud-based AI.

[0072] The computing architecture of cloud-based AI is far more complex than that of AI computing infrastructure on the vehicle side. Due to its complexity, cloud-based AI can perform a wider variety of AI computing tasks, and its computational demands are also greater.

[0073] In this case, tasks that are relatively complex and computationally intensive, originally carried out by the in-vehicle AI chip, can be migrated to the cloud AI 30.

[0074] For example, in one possible implementation, the computational tasks originally handled by the in-vehicle AI chip are migrated to the cloud-based AI system for image / video analysis, audio analysis, and data deduplication and compression. Only the computational tasks for content summarization and indexing remain deployed on the in-vehicle AI chip.

[0075] In another possible implementation, the computational tasks of image / video analysis, audio analysis, and content summarization and indexing are migrated to cloud-based AI. Only the computational tasks of data deduplication and compression are deployed on the in-vehicle AI chip.

[0076] It is important to note that regardless of the final computing task migration scheme adopted, the migrated computing tasks must be well coordinated with the non-migrated computing tasks.

[0077] Figure 3 This is a system architecture diagram of a data backup system provided in one or more embodiments of the present invention. See also Figure 3 The data backup system includes: mobile cloud storage client 10, vehicle network module 21, vehicle infotainment system (vehicle unit) 22, and vehicle AI chip 23.

[0078] The biggest difference from the aforementioned embodiments of the present invention is that, at the vehicle end 20, the on-board storage module is no longer directly deployed. Instead, data storage is provided by external storage 40.

[0079] Backing up data from your phone directly to the vehicle's internal storage is certainly convenient for users, i.e., the drivers and passengers. However, in some scenarios, users don't need to back up data directly to the vehicle's storage. For example, users might need to back up critical data from their phones to a USB drive they carry with them for future use.

[0080] In the various embodiments provided by this invention, this user need can also be easily met. In the various embodiments of this invention, a response interface for external storage 40 is provided, allowing external storage 40 to be easily connected to the system.

[0081] Meanwhile, in the technical solution of backing up data to external storage, the vehicle system's access to the vehicle storage module can be blocked through hardware and software means, and the vehicle system, namely the in-vehicle infotainment system in the aforementioned embodiment, can directly access the external storage 40.

[0082] By changing the access to the storage system to external storage 40, the data that was originally backed up to the vehicle storage system is now backed up to external storage 40.

[0083] Although the data flow is programmed, the entire data backup process remains the same, ensuring the reliability of the backup. This allows external storage 40 to also obtain high-quality data backups.

[0084] In addition, reliably backing up data from a user's phone to external storage makes it convenient for users to access the backed-up data.

[0085] In other embodiments of the invention, a distributed storage system can also be implemented on the in-vehicle storage module. This allows for distributed data storage within the vehicle. Such distributed storage can include SAN, NAS, and so on.

[0086] In a distributed storage system, the same data can have multiple different backups, further improving the reliability of data backup.

[0087] Figure 4 This is a flowchart of a data backup method provided in one or more embodiments of the present invention. See also... Figure 4 Data backup methods include:

[0088] S41, send the user's data request.

[0089] S42 connects to the mobile cloud storage client and forwards the data requests sent by the mobile cloud storage client to the in-vehicle infotainment system.

[0090] S43 dispatches data requests to the onboard AI chip.

[0091] S44 intelligently analyzes, organizes, and optimizes data requests to generate access requests for data stored in the vehicle's onboard storage module.

[0092] S45 responds to data requests from mobile cloud storage clients based on access requests.

[0093] The purpose of this invention is to provide a personal private cloud storage system and its data backup method based on the cockpit of a new energy vehicle, so as to achieve the following technical objectives:

[0094] Make full use of the on-board hardware resources of new energy vehicles to build personal private cloud storage nodes;

[0095] Provides efficient, secure, and low-latency mobile data backup solutions;

[0096] It supports automatic organization, classification, compression, and indexing of multimedia data through AI on the vehicle's infotainment system;

[0097] Remote wake-up and data access to the vehicle's infotainment system via a mobile app significantly enhances the user experience.

[0098] To achieve the aforementioned technical objectives, in this embodiment, a mobile client first sends a user's data request. After the data request is sent, the vehicle network module accesses the data request from the mobile cloud storage client and forwards the received data request from the mobile cloud storage client to the vehicle infotainment system.

[0099] After receiving a data request forwarded to the vehicle network module, the in-vehicle infotainment system dispatches the data request to the in-vehicle AI chip.

[0100] Then, the onboard AI chip intelligently analyzes, organizes, and optimizes the data requests. After this intelligent analysis, organization, and optimization by the onboard AI chip, a data access request can be generated to access the data stored in the onboard storage module.

[0101] Finally, the vehicle storage module responds to the data requests sent by the user based on the generated data access requests.

[0102] Among them, the operations performed by the in-vehicle AI chip on data requests include: image / video analysis, audio analysis, data deduplication and compression, content summarization and indexing.

[0103] More specifically, image / video analysis includes: using deep learning models for scene recognition, object recognition, face recognition, OCR (Optical Character Recognition), and automatically generating keyword tags.

[0104] Audio analysis includes: speech-to-text (ASR) of voice memos and in-vehicle recordings, and speaker identification.

[0105] Data deduplication and compression include: intelligently identifying duplicate files and deduplicating them, performing lossless or lossy compression on non-critical data, and optimizing storage space utilization.

[0106] Content summaries and indexes include: automatically generating summaries for long videos or documents, establishing an efficient index structure, and facilitating quick retrieval for users.

[0107] Taking the backup and automatic organization of photos and videos on a mobile phone as an example, the data backup process provided in this embodiment will be explained.

[0108] In terms of initial setup, when users first enter the cabin of a new energy vehicle, the "Vehicle Private Cloud" App is already installed on their mobile phones.

[0109] The app discovers and connects to the vehicle's network module via Bluetooth (BLE) to establish initial pairing and authentication (e.g., displaying a QR code on the vehicle's screen for the phone to scan and confirm).

[0110] After successful pairing, the mobile app prompts the user to set up automatic backup rules, such as:

[0111] "Automatically back up photos and videos only when connected to the car's Wi-Fi."

[0112] "Automatically perform incremental backups after the vehicle is turned off."

[0113] "Back up only the contents of the specified album".

[0114] The user selects "Automatically back up photos and videos when connected to in-car Wi-Fi" and confirms.

[0115] In terms of daily use and automatic backup, when users are driving, their mobile phones automatically connect to the car's Wi-Fi hotspot.

[0116] The "Vehicle Private Cloud" app detects the Wi-Fi connection and silently starts an incremental backup task for photos and videos in the background.

[0117] The mobile app encrypts newly generated photos and videos in blocks and then transmits them to the vehicle's infotainment system at high speed via in-vehicle Wi-Fi.

[0118] After receiving the data, the vehicle's infotainment system stores it in an encrypted partition allocated to the user within the vehicle's storage module.

[0119] After the backup is complete, the vehicle's AI chip intelligently analyzes these newly backed-up photos and videos. For example:

[0120] Identify people (such as "family" or "friends") and locations (such as "park" or "beach") in photos.

[0121] Identify events in the video (such as "birthday party" or "travel log").

[0122] Perform OCR recognition on the image content to extract text information.

[0123] Based on the analysis results, photos and videos are automatically tagged (such as "Summer Trip in 2025" or "Baby's First Birthday") and indexed.

[0124] In terms of data access and intelligent retrieval, a user might suddenly want to find a travel photo taken in a car six months ago, even while at home (or anywhere).

[0125] Users open the "Vehicle Private Cloud" App on their mobile phones.

[0126] The app attempts to wake up the vehicle's infotainment system via a remote wake-up mechanism (if the vehicle is connected to the internet) or by prompting the user to approach the vehicle (if the vehicle is not connected to the internet or is in deep sleep).

[0127] After the vehicle's infotainment system is activated and a connection is established, the app displays a list of data from the vehicle's private cloud.

[0128] Users can search within the app using keywords such as "seaside", "sunset", and "2025".

[0129] Because the in-vehicle AI chip has intelligently indexed the data, the app can quickly return relevant photos and videos, which users can preview or download to their phones.

[0130] Users can also browse photo albums categorized by people, locations, events, etc. through the app.

[0131] Regarding storage space management, the app will send a notification to the user when the in-vehicle storage space is close to full.

[0132] Users can view storage usage through the app and choose to delete old or no longer needed files, or migrate some files to other storage media.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data backup system, characterized by The data backup system comprises a mobile phone cloud storage client, a vehicle-mounted network module, a vehicle-mounted information entertainment system, a vehicle-mounted AI chip and a vehicle-mounted storage module. The mobile phone cloud storage client is configured to send a data request of a user. The vehicle-mounted network module is configured to access the mobile phone cloud storage client and forward the data request sent by the mobile phone cloud storage client to the vehicle-mounted information entertainment system. The vehicle-mounted information entertainment system is configured to dispatch the data request to the vehicle-mounted AI chip. The vehicle-mounted AI chip is configured to intelligently analyze, sort and optimize the data request to form an access request for the stored data in the vehicle-mounted storage module. The vehicle-mounted storage module is configured to respond to the data request of the mobile phone cloud storage client based on the access request.

2. The system of claim 1, wherein, The vehicle-mounted AI chip intelligently analyzes, sorts and optimizes the multimedia data backed up to the vehicle-mounted storage module.

3. The system of claim 2, wherein, The intelligent analysis, sorting and optimization include image / video analysis, audio analysis, data deduplication and compression, content summary and indexing.

4. The system of claim 3, wherein, The image / video analysis includes scene recognition, object recognition, face recognition and OCR using a deep learning model to automatically generate keyword tags.

5. The system of claim 3, wherein, The audio analysis includes voice memo and vehicle-mounted recording voice-to-text conversion and speaker identification.

6. The system of claim 3, wherein, The data deduplication and compression include intelligently identifying duplicate files and deduplicating them, lossless or lossy compression of non-critical data and optimization of storage space utilization.

7. The system of claim 3, wherein, The content summary and indexing include automatically generating summaries of long videos or documents, establishing an efficient indexing structure and facilitating fast user retrieval.

8. The system of claim 1, wherein, The vehicle-mounted information entertainment system serves as the core server of the private cloud storage, responsible for receiving, managing and distributing data and coordinating the AI chip for data processing.

9. The system of claim 1, wherein, The vehicle-mounted network module is responsible for local area network communication between the mobile phone and the vehicle-mounted device, building a secure private network environment.

10. A data backup method characterized by comprising: The data backup method comprises: sending a data request of a user; accessing the mobile phone cloud storage client and forwarding the data request sent by the mobile phone cloud storage client to the vehicle-mounted information entertainment system; dispatching the data request to the vehicle-mounted AI chip; intelligently analyzing, sorting and optimizing the data request to form an access request for the stored data in the vehicle-mounted storage module; responding to the data request of the mobile phone cloud storage client based on the access request.

Images