Method and system for networking Internet of Vehicles based on open source Hongmeng system and Xingshan technology

Abstract

The present invention discloses a vehicle networking method and system based on the open source Hongmeng system and Star Flash technology, the method comprising: a vehicle terminal is pre-installed with a Star Flash communication module, which is connected to the vehicle sensor and camera respectively, collects vehicle data, and transmits the vehicle data to the Star Flash gateway through the Star Flash communication module; the Star Flash gateway uploads the vehicle data to the cloud service platform in real time through the Star Flash network; the cloud service platform processes the vehicle data through the vehicle networking application software based on the open source Hongmeng system, obtains the data processing result, and triggers the corresponding vehicle control function according to the data processing result. The present invention uses Star Flash technology to achieve low-latency, high-reliability, and high-speed inter-vehicle communication, improves the compatibility and scalability of the vehicle networking system through the open source Hongmeng system, supports a large number of vehicles to be connected at the same time, improves network capacity, enhances anti-interference ability, and ensures stable communication of vehicles in complex environments.

Description

Technical Field

[0001] The present invention relates to the field of vehicle networking communication technology, and in particular to a vehicle networking method, system, intelligent terminal and computer-readable storage medium based on the open source Hongmeng system and StarFlash technology. Background Art

[0002] The Internet of Vehicles mainly refers to the on-board equipment on the vehicle using wireless communication technology to effectively utilize all vehicle dynamic information on the information network platform and provide different functional services during vehicle operation. It can be found that the Internet of Vehicles has the following characteristics: the Internet of Vehicles can provide protection for the distance between vehicles and reduce the probability of vehicle collision accidents; the Internet of Vehicles can help car owners navigate in real time and improve the efficiency of traffic operation through communication with other vehicles and network systems.

[0003] The existing Internet of Vehicles communication technology has insufficient connection stability and is easily affected by external interference; the data transmission delay is high, affecting real-time performance; the maximum number of connections is limited, making it difficult to meet the needs of a large number of vehicles communicating at the same time; the communication distance is limited and cannot cover a wide area.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a vehicle network networking method, system, intelligent terminal and computer-readable storage medium based on the open source Hongmeng system and StarFlash technology, aiming to solve the problems in the prior art of vehicle network communication technology such as unstable connection, high data transmission delay, limited maximum number of connections, and inability to cover a wide area.

[0006] To achieve the above object, the present invention provides a vehicle networking method based on the open source Hongmeng system and Star Flash technology, and the vehicle networking method based on the open source Hongmeng system and Star Flash technology comprises the following steps:

[0007] The vehicle terminal is pre-installed with a Star Flash communication module, which is connected to the vehicle sensor and the camera respectively, and the vehicle data is collected through the vehicle sensor and the camera, and the vehicle data is transmitted to the Star Flash gateway through the Star Flash communication module;

[0008] The Xingshan gateway uploads the vehicle data to the cloud service platform in real time through the Xingshan network;

[0009] The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control functions according to the data processing results.

[0010] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and StarFlash technology, wherein the vehicle data includes: vehicle status data, environmental perception data, location information and vehicle usage data.

[0011] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and Starflash technology, wherein the vehicle data is transmitted to a cloud service platform through the Starflash communication module, further comprises:

[0012] Preprocessing the collected vehicle data;

[0013] The preprocessing includes: data cleaning, data compression, data fusion, preliminary data analysis and data encryption.

[0014] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and StarFlash technology, wherein the data processing includes: data aggregation, data filtering, data association, statistical analysis, predictive analysis, pattern recognition and event detection.

[0015] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology, wherein the cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to obtain the data processing result, and triggers the corresponding vehicle control function according to the data processing result, specifically includes:

[0016] The cloud service platform aggregates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and aggregates the data from multiple vehicles to conduct a comprehensive traffic flow analysis;

[0017] The cloud service platform filters the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to remove redundant or erroneous data to ensure the quality of the analysis;

[0018] The cloud service platform associates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and associates the data from different sources to provide driving suggestions;

[0019] The cloud service platform performs statistical analysis on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, performs statistical operations on the vehicle data, and calculates the average vehicle speed and vehicle density;

[0020] The cloud service platform uses the Internet of Vehicles application software based on the open source Hongmeng system to perform predictive analysis on the vehicle data and use machine learning algorithms to predict traffic patterns and vehicle failures;

[0021] The cloud service platform performs pattern recognition on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to identify driving behavior patterns for improving driving safety;

[0022] The cloud service platform performs event detection on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, detects potential traffic accidents and traffic congestion incidents, and notifies relevant vehicles or management personnel in real time.

[0023] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology, wherein the cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to obtain the data processing result, and triggers the corresponding vehicle control function according to the data processing result, further comprising:

[0024] The cloud service platform feeds back the data processing results to the vehicle terminal for real-time monitoring and driving assistance;

[0025] The cloud service platform sends control instructions to the vehicle-mounted terminal, wherein the control instructions include remote diagnosis instructions and software upgrade packages.

[0026] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology, wherein the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology further includes:

[0027] The cloud service platform performs remote diagnosis and software upgrades on the vehicle;

[0028] The cloud service platform performs remote diagnosis and software upgrades on the vehicle, specifically including:

[0029] The vehicle terminal continuously collects various vehicle data of the vehicle and transmits it to the cloud service platform in real time through the Xingshan communication module;

[0030] After receiving the vehicle data, the cloud service platform uses a preset diagnostic algorithm to perform real-time analysis on the vehicle data;

[0031] If abnormal data or fault codes are detected, fault diagnosis will be performed to determine the cause of the fault and repair suggestions;

[0032] When the diagnosis is completed, the cloud service platform sends the diagnosis result back to the vehicle and displays it to the driver through the vehicle terminal or directly takes corresponding measures;

[0033] When the vehicle software needs to be updated, the cloud service platform sends the software upgrade instructions and software package of the new version to the designated vehicle terminal through the Xingshan Gateway;

[0034] After receiving the upgrade instruction, the vehicle terminal performs software update according to the preset upgrade process;

[0035] When the software upgrade is completed, the vehicle terminal will send a confirmation message to the cloud service platform to report the upgrade status;

[0036] The cloud service platform verifies the upgrade results to ensure that the software upgrade is successful and the vehicle system operates stably.

[0037] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology, wherein the Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology further includes:

[0038] Star Flash technology is used to establish a communication network between various vehicles, so as to realize data transmission between various vehicles through the communication network and perform functional control according to the transmitted data.

[0039] Optionally, the Internet of Vehicles networking method based on the open source Hongmeng system and StarFlash technology, wherein the functional control includes: collaborative driving, collision warning, vehicle distance keeping, traffic flow optimization, environmental perception sharing, emergency response, intelligent navigation, and vehicle control and optimization.

[0040] In addition, to achieve the above-mentioned purpose, the present invention also provides a vehicle networking system based on the open source Hongmeng system and the Star Flash technology, wherein the vehicle networking system based on the open source Hongmeng system and the Star Flash technology comprises: a vehicle terminal, a Star Flash gateway and a cloud service platform, and the Star Flash gateway establishes communication connections with the vehicle terminal and the cloud service platform respectively;

[0041] The vehicle terminal is used to pre-install a Star Flash communication module, connect the Star Flash communication module to the vehicle sensor and the camera respectively, collect vehicle data through the vehicle sensor and the camera, and transmit the vehicle data to the Star Flash gateway through the Star Flash communication module;

[0042] The Xingshan gateway is used to upload the vehicle data to the cloud service platform in real time through the Xingshan network;

[0043] The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control functions according to the data processing results.

[0044] In the present invention, the vehicle terminal has a pre-built-in Star Flash communication module, which is connected to the vehicle sensor and camera respectively, and the vehicle data is collected through the vehicle sensor and the camera, and the vehicle data is transmitted to the Star Flash gateway through the Star Flash communication module; the Star Flash gateway uploads the vehicle data to the cloud service platform in real time through the Star Flash network; the cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control function according to the data processing results. The present invention uses Star Flash technology to achieve low-latency, high-reliability, and high-speed inter-vehicle communication, and improves the compatibility and scalability of the Internet of Vehicles system through the open source Hongmeng system, supports a large number of vehicles to be connected at the same time, improves network capacity, enhances anti-interference capabilities, and ensures stable communication of vehicles in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flowchart of a preferred embodiment of the vehicle networking method based on the open source Hongmeng system and Xingshan technology of the present invention;

[0046] Figure 2 It is a structural diagram of a preferred embodiment of the Internet of Vehicles networking system based on the open source Hongmeng system and StarFlash technology of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. 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.

[0048] The present invention is a vehicle networking method based on the open source Hongmeng system and Star Flash technology, which is suitable for applications such as intelligent transportation, autonomous driving, and vehicle remote monitoring and diagnosis. It aims to improve the real-time, reliability and efficiency of vehicle-to-vehicle communication and promote the development and application of vehicle networking technology.

[0049] The vehicle networking method based on the open source Hongmeng system and Xingshan technology described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the Internet of Vehicles networking method based on the open source Hongmeng system and Xingshan technology includes the following steps:

[0050] Step S10: The vehicle terminal is pre-installed with a Starflash communication module, and the Starflash communication module is connected to the vehicle sensor and the camera respectively, vehicle data is collected through the vehicle sensor and the camera, and the vehicle data is transmitted to the Starflash gateway through the Starflash communication module.

[0051] Specifically, a vehicle networking system architecture based on the open source Hongmeng system and Starflash technology is constructed, including components such as on-board terminals, Starflash gateways, and cloud service platforms, which work together to realize the functions of the vehicle networking; among them, the on-board terminal: is the part that needs to be installed on the vehicle, it includes Starflash communication modules, sensors, cameras and other equipment, which are used to realize the vehicle's data collection, processing and communication functions; Starflash gateway: is a component in the system that may be independent of the vehicle. It serves as a bridge between the vehicle and the cloud service platform, and is used to process and forward large amounts of vehicle data; cloud service platform: is a component independent of any single vehicle, it is usually located in a remote data center, and provides data storage, processing and analysis services.

[0052] The Star Flash communication module is integrated into the vehicle and connected to on-board sensors, cameras and other equipment to realize data collection and preprocessing. The main responsibility of the Star Flash communication module is to realize communication between vehicles. Data collection is usually completed by on-board sensors, cameras and other equipment, and the Star Flash communication module is responsible for transmitting the data collected by these devices through its high-speed and reliable communication network.

[0053] The vehicle data includes: vehicle status data, environmental perception data, location information and vehicle usage data, among which, vehicle status data: speed, acceleration, steering angle, engine status, vehicle vibration, etc.; environmental perception data: road conditions, traffic signs, surrounding vehicles and pedestrians, etc. collected by perception devices such as cameras and radars; location information: vehicle location, driving direction and altitude, etc. obtained through GPS or other positioning systems; vehicle usage data: fuel consumption, battery status, mileage, etc.

[0054] The collected vehicle data is preprocessed, and the preprocessing includes: data cleaning, data compression, data fusion, data preliminary analysis and data encryption, wherein data cleaning: remove invalid or erroneous data to ensure data quality; data compression: in order to reduce the amount of transmitted data, it may be necessary to compress image, video and other data; data fusion: integrate data from different sensors and devices to form a unified data format for further processing and analysis; data preliminary analysis: perform some basic data analysis, such as calculating the average speed of the vehicle, detecting abnormal driving behavior, etc.; data encryption: in order to ensure the security of data transmission, it may be necessary to encrypt the data.

[0055] Therefore, the role of the Star Flash communication module is to integrate with on-board sensors, cameras and other devices, receive data collected and pre-processed by these devices, and then transmit the data to other vehicles or cloud service platforms through its high-speed and reliable communication network. This design can ensure the real-time and reliability of data and meet the high requirements of the Internet of Vehicles system for communication quality.

[0056] Step S20: The Xingshan gateway uploads the vehicle data to the cloud service platform in real time through the Xingshan network.

[0057] Specifically, the vehicle terminal transmits vehicle data (including vehicle speed, location, fuel consumption and other status information) to the Star Flash Gateway through the Star Flash communication module. The Star Flash Gateway acts as an intermediate node and is responsible for forwarding the vehicle data to the cloud service platform.

[0058] Step S30: The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to obtain data processing results, and triggers corresponding vehicle control functions according to the data processing results.

[0059] Specifically, the Xingshan Gateway uploads the collected vehicle data to the cloud service platform, which has more powerful processing capabilities and storage space and can perform complex data analysis and processing.

[0060] The data processing includes: data aggregation, data filtering, data association, statistical analysis, predictive analysis, pattern recognition and event detection. Among them, data aggregation: the cloud service platform aggregates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system (the Internet of Vehicles application software based on the open source Hongmeng system is pre-developed to achieve real-time transmission, processing and analysis of vehicle data). On the cloud service platform, data from multiple vehicles are aggregated for a more comprehensive traffic flow analysis; data filtering: the cloud service platform filters the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to remove redundant or erroneous data and ensure the quality of the analysis; data association: the cloud service platform associates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to associate data from different sources, such as combining vehicle location data with traffic condition information to provide more accurate driving suggestions; statistical analysis: the The cloud service platform performs statistical analysis on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and performs statistical operations on the vehicle data, such as calculating the average speed, vehicle density, etc.; Predictive analysis: the cloud service platform performs predictive analysis on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and uses machine learning algorithms to predict traffic patterns, vehicle failures, etc.; Pattern recognition: the cloud service platform performs pattern recognition on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and identifies driving behavior patterns, such as sudden braking and sudden acceleration, to improve driving safety; Event detection: the cloud service platform performs event detection on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, detects potential traffic accidents, traffic congestion and other events, and notifies relevant vehicles or management personnel in real time.

[0061] In addition, it also includes real-time monitoring: the processed and analyzed data is fed back to the vehicle for real-time monitoring and driving assistance; control instructions: the cloud service platform can send control instructions to the vehicle, such as remote diagnostic instructions, software upgrade packages, etc.

[0062] Through these steps, vehicle data is not only effectively transmitted and stored, but also converted into useful information to support applications such as intelligent transportation systems, autonomous driving functions, and vehicle remote monitoring and diagnosis. This helps improve road safety, optimize traffic flow, enhance driving experience, and ultimately promote the development of Internet of Vehicles technology.

[0063] Use Star Flash technology to establish a communication network between vehicles to achieve low-latency, highly reliable data transmission; the purpose and function of data transmission between vehicles mainly include:

[0064] (1) Collaborative driving: Vehicles can share driving information such as speed, location, and driving intention through data transmission to achieve collaborative driving, which helps improve road use efficiency, reduce traffic accidents, and provide support for autonomous driving vehicles.

[0065] (2) Collision Warning: By transmitting the vehicle’s speed and location information in real time, the vehicle can learn of potential collision risks in advance and take measures to avoid accidents.

[0066] (3) Inter-vehicle distance maintenance: Inter-vehicle communication can help maintain a safe following distance, especially on highways or in autonomous driving mode, which is crucial to preventing rear-end collisions.

[0067] (4) Traffic flow optimization: Data transmitted between vehicles can be used to analyze traffic flow conditions, help vehicles choose the best route, and reduce traffic congestion.

[0068] (5) Environmental perception sharing: Environmental information collected by vehicles through sensors and cameras can be shared with other vehicles through data transmission, so that other vehicles can obtain perception information of the surrounding environment even when the line of sight is obstructed.

[0069] (6) Emergency response: In emergency situations, such as vehicle breakdown or accidents, the relevant vehicles can quickly transmit information to surrounding vehicles to remind them to take evasive measures.

[0070] (7) Intelligent Navigation: Through data exchange between vehicles, more accurate navigation services can be achieved, including real-time traffic information and route suggestions.

[0071] (8) Vehicle control and optimization: Vehicles can share information such as power system status and energy consumption to optimize vehicle control strategies and improve fuel efficiency and overall performance.

[0072] Specific effects of data transmission between vehicles:

[0073] (1) Improved safety: Through real-time communication, vehicles can respond to potential security threats more quickly, thereby improving driving safety.

[0074] (2) Improve efficiency: Data sharing between vehicles helps optimize traffic flow, reduce congestion, and improve road transport efficiency.

[0075] (3) Enhanced autonomous driving capabilities: Autonomous driving vehicles rely on large amounts of real-time data to make decisions, and data transmission between vehicles is the key to achieving their functions.

[0076] (4) Promote the Internet of Vehicles ecosystem: Data transmission between vehicles is the foundation of the Internet of Vehicles ecosystem and provides data support for future intelligent transportation systems.

[0077] In summary, data transmission between vehicles is the basis for realizing many advanced functions of the Internet of Vehicles system, and is of great significance for promoting the development of intelligent transportation and autonomous driving technologies.

[0078] The connection between the vehicle and the cloud service platform is realized through the Star Flash Gateway, which supports the uploading and downloading of large amounts of vehicle data, and the vehicle and the cloud service platform carry out data transmission (upload and download); among which, the data types of uploaded data include vehicle status data: speed, location, fuel consumption, engine status, vehicle fault code, vehicle usage history, driving behavior data (such as sudden braking, sudden acceleration, etc.). After uploading these data to the cloud service platform, they can be used to monitor the vehicle status in real time, analyze vehicle performance, predict maintenance needs, and optimize driving behavior.

[0079] For example, environmental perception data (images captured by on-board cameras, sensor data such as radar, lidar, etc.) helps the cloud service platform analyze traffic conditions, provide road condition information, and support environmental modeling and decision-making of autonomous driving systems. For example, communication logs (communication records, data transmission statistics) are used for network management and optimization to ensure the stability and efficiency of the communication network.

[0080] Among them, the data types sent include control instructions, driving assistance system instructions, emergency braking instructions and vehicle control parameter update instructions. These instructions can adjust vehicle behavior in real time, improve driving safety, or control the vehicle in an emergency.

[0081] For example, software updates (operating system updates, application updates, firmware updates) ensure that the vehicle software system is kept up to date, fix known problems, and enhance functions. For example, navigation and traffic information (real-time traffic conditions, route planning, warning information) provide vehicles with optimal driving routes, reduce driving time, and avoid congestion.

[0082] The role of the cloud service platform:

[0083] (1) Data processing and analysis: Collect and process huge amounts of data from vehicles and analyze them to extract useful information.

[0084] (2) Decision support: Based on the analysis results, provide driving suggestions to the vehicle, such as route selection, speed adjustment, etc.

[0085] (3) Remote monitoring and control: Realize remote monitoring of the vehicle and perform remote control operations when necessary.

[0086] (4) Resource management: managing resources in the Internet of Vehicles, such as network bandwidth, data processing capabilities, etc.

[0087] (5) Security monitoring: Monitor the security of the Internet of Vehicles and respond to potential security threats in a timely manner.

[0088] (6) Service provision: Provide various services for vehicles, such as navigation, vehicle diagnosis, software upgrades, etc.

[0089] Through the process of uploading and sending these data, the cloud service platform has become a core component of the Internet of Vehicles system. It not only enhances the connectivity between vehicles, but also provides intelligent services and support, thereby improving the performance and user experience of the entire Internet of Vehicles system.

[0090] Purpose of monitoring vehicle status and sending it to the cloud:

[0091] (1) Real-time monitoring and safety: By monitoring vehicle status (such as speed, location, fuel consumption, etc.), the vehicle operation status can be tracked in real time, and potential safety issues such as abnormal driving behavior or vehicle failure can be discovered in time, so that measures can be taken to prevent accidents.

[0092] (2) Data analysis and optimization: Collecting vehicle status data helps in in-depth analysis to optimize vehicle performance, improve fuel efficiency, reduce maintenance costs, and improve the driving experience.

[0093] (3) Remote diagnosis and maintenance: By sending vehicle status data to the cloud, remote fault diagnosis can be performed, parts requiring maintenance can be identified in advance, and vehicle downtime can be reduced.

[0094] (4) Intelligent decision support: Vehicle status data provides decision support for intelligent transportation systems, such as traffic flow management, route planning, and vehicle scheduling.

[0095] After monitoring the vehicle status and sending it to the cloud service platform, the data utilization on the cloud service platform includes:

[0096] (1) Vehicle management: The cloud service platform can manage the vehicle database, record the status and historical data of each vehicle, and facilitate vehicle life cycle management.

[0097] (2) Data analysis: The cloud can perform big data analysis to identify driving patterns, vehicle usage frequency, common fault types, etc., providing valuable information to vehicle manufacturers and traffic management departments.

[0098] (3) Predictive maintenance: Using vehicle status data, the cloud can predict possible vehicle failures and notify the owner or maintenance personnel in advance to arrange maintenance services.

[0099] (4) Traffic management: The cloud service platform can integrate vehicle status data into the traffic management system, provide real-time traffic information, help reduce traffic congestion, and optimize traffic flow.

[0100] (5) Autonomous driving support: For autonomous driving vehicles, the cloud can use vehicle status data to optimize algorithms and improve the accuracy and reliability of the autonomous driving system.

[0101] (6) Emergency response: In an emergency, the cloud can quickly respond to the distress signal sent by the vehicle, coordinate rescue resources, and provide timely assistance.

[0102] (7) User services: The cloud can provide personalized services based on vehicle status data, such as vehicle health reports, driving advice, insurance service information, etc.

[0103] By monitoring vehicle status and sending data to the cloud, the connected vehicle system can achieve more advanced functions and services, thereby improving the intelligence level of the entire transportation system and creating value for car owners, manufacturers, traffic management departments and other stakeholders.

[0104] Vehicle-to-vehicle communication includes functions such as vehicle distance maintenance, collision warning, and cooperative driving. It is designed to support autonomous driving functions, but its application is not limited to autonomous driving. The role of vehicle-to-vehicle communication in autonomous driving:

[0105] (1) Collaborative driving: Collaborative driving between autonomous driving vehicles can enhance the vehicles’ ability to perceive the surrounding environment, optimize driving routes and speeds, and improve road use efficiency. This is one of the key technologies for achieving autonomous driving.

[0106] (2) Collision warning: Through inter-vehicle communication, autonomous vehicles can learn about the location and dynamics of other vehicles in advance, so that they can make timely avoidance decisions and avoid collisions. This is crucial to improving the safety of autonomous driving.

[0107] (3) Maintaining vehicle-to-vehicle distance: Autonomous vehicles can accurately control the distance between vehicles through vehicle-to-vehicle communication and maintain a safe distance even in complex traffic environments. This is a capability that autonomous vehicles must have during driving.

[0108] Other applications of inter-vehicle communication:

[0109] (1) Improving driving safety: Even for non-autonomous driving vehicles, vehicle-to-vehicle communication can provide collision warning and vehicle-to-vehicle distance keeping functions, thereby improving the driving safety of all vehicles.

[0110] (2) Intelligent traffic management: Vehicle-to-vehicle communication can be used for traffic flow management, reducing congestion, and optimizing traffic flow. This information is very valuable to traffic management departments.

[0111] (3) Remote vehicle monitoring and diagnosis: Vehicle-to-vehicle communication can assist the vehicle remote monitoring and diagnosis system and provide more comprehensive vehicle status information.

[0112] Therefore, although the inter-vehicle communication function is crucial to achieving autonomous driving, it is also applicable to improving the driving safety of traditional vehicles and the overall efficiency of intelligent transportation systems. The realization of these functions will help promote the development of vehicle networking technology and lay the foundation for more extensive autonomous driving applications in the future.

[0113] Remote diagnosis and software upgrade of the vehicle can be performed through the cloud service platform. Remote diagnosis and software upgrade can be performed through the following steps:

[0114] (1) Data collection and transmission: The on-board terminal continuously collects various vehicle data, including but not limited to vehicle performance parameters, fault codes, software version information, etc. These data are transmitted to the cloud service platform in real time through the Star Flash communication module.

[0115] (2) Data analysis and diagnosis: After receiving the vehicle data, the cloud service platform uses a preset diagnostic algorithm to analyze the data in real time. If abnormal data or fault codes are detected, the system will perform fault diagnosis to determine the possible cause of the fault and provide repair recommendations.

[0116] (3) Remote diagnosis: Once the diagnosis is complete, the cloud service platform can send the diagnosis results back to the vehicle and display them to the driver through the vehicle terminal or take corresponding measures directly. If further technical support is required, the cloud service platform can remotely connect to the vehicle for more in-depth troubleshooting.

[0117] (4) Software upgrade: When the vehicle software needs to be updated, the cloud service platform prepares the new version of the software package and sends the software upgrade instructions and software package to the designated vehicle terminal through the Star Flash Gateway. After receiving the upgrade instruction, the vehicle terminal performs the software update according to the preset upgrade process, including downloading, decompression, installation and verification steps.

[0118] (5) Upgrade Verification: After the software upgrade is completed, the vehicle terminal will send a confirmation message to the cloud service platform to report the upgrade status. The cloud service platform verifies the upgrade results to ensure that the software upgrade is successful and the vehicle system is running stably.

[0119] The following are the key technical aspects of remote diagnosis and software upgrade:

[0120] (1) Communication security: During remote diagnosis and software upgrades, it is crucial to ensure the security of data transmission. This is usually achieved through encrypted communication and authentication mechanisms.

[0121] (2) Compatibility check: Before upgrading the software, the cloud service platform will check the compatibility of the new software version with the vehicle hardware and the current software environment.

[0122] (3) Breakpoint resume: During the software download process, if the network is interrupted, the system should support breakpoint resume to ensure the complete transmission of the software package.

[0123] (4) Rollback mechanism: If there is a problem with the new software version, the system should have the ability to roll back to the old version to ensure the normal operation of the vehicle.

[0124] Through these steps, vehicles can remotely receive professional diagnostic services and new function updates, greatly improving the convenience of vehicle maintenance and the speed of functional iteration of smart cars.

[0125] Furthermore, the Internet of Vehicles networking system is field tested, and the communication protocol and network parameters are optimized according to the test results to ensure the stable operation of the system; system testing and optimization usually includes the following steps:

[0126] (1) Test plan formulation: clarify the test objectives and test scope, including communication performance, system stability, security, compatibility, etc. Design detailed test cases covering different vehicle operation scenarios, communication environments, user behaviors, etc.

[0127] (2) Test environment construction: Prepare the hardware equipment required for the test, such as vehicle terminals, Xingshan gateways, sensors, cameras, etc. Build a simulated vehicle communication network and cloud service platform to support the test.

[0128] (3) Functional testing: Test the various functions of the Internet of Vehicles networking system, such as vehicle status monitoring, inter-vehicle communication, remote diagnosis and control, etc. Verify whether the system works normally according to the design requirements, including data collection, transmission, processing and response.

[0129] (4) Performance testing: Test the system's performance under various load conditions, such as data transmission rate, latency, system response time, etc. Verify whether the system can support a large number of vehicles connected at the same time, and its performance under network congestion.

[0130] (5) Stability test: Run the system for a long time to observe its stability and reliability under continuous working conditions. Test the stability of the system under different environments and conditions (such as temperature, humidity, electromagnetic interference, etc.).

[0131] (6) Security testing: Test the security of the system, including data encryption, authentication mechanism, anti-interference capability, etc. Simulate attack scenarios to test the system's ability to protect against security threats.

[0132] (7) Optimization measures: Based on the test results, identify the existing problems and performance bottlenecks in the system. Adjust and optimize the communication protocol to improve data transmission efficiency and stability. Optimize network parameters, such as adjusting transmission power, frequency allocation, network topology, etc., to improve communication quality. Update software algorithms to improve the efficiency of data processing and analysis.

[0133] (8) Iterative testing: After implementing the optimization measures, conduct a new round of testing to verify the optimization effect. Repeat the testing and optimization process until the system performance reaches the expected target.

[0134] (9) Documentation: Record the test process, results, and optimization measures to provide reference for subsequent system maintenance and upgrades.

[0135] Through these testing and optimization steps, it can be ensured that the Internet of Vehicles networking system can provide efficient, stable and secure communication services in actual applications to meet the needs of intelligent transportation and autonomous driving.

[0136] The present invention utilizes the anti-interference capability and high reliability of Star Flash technology to ensure the security of vehicle network communications, and provides an efficient, stable and secure communication solution for intelligent transportation and autonomous driving.

[0137] The present invention has the following technical effects:

[0138] (1) Use Star Flash technology to achieve low-latency, high-reliability, and high-speed vehicle-to-vehicle communication.

[0139] (2) Improve the compatibility and scalability of the Internet of Vehicles system through the open source Hongmeng system.

[0140] (3) Supporting a large number of vehicles to connect simultaneously and improving network capacity.

[0141] (4) Enhance anti-interference capabilities to ensure stable communication of vehicles in complex environments.

[0142] Furthermore, if Figure 2 As shown, based on the above-mentioned Internet of Vehicles networking method based on the open source Hongmeng system and Star Flash technology, the present invention also provides a corresponding Internet of Vehicles networking system based on the open source Hongmeng system and Star Flash technology, wherein the Internet of Vehicles networking system based on the open source Hongmeng system and Star Flash technology includes: a vehicle-mounted terminal, a Star Flash gateway and a cloud service platform, and the Star Flash gateway establishes communication connections with the vehicle-mounted terminal and the cloud service platform respectively.

[0143] The vehicle-mounted terminal is used to pre-install a Starflash communication module, connect the Starflash communication module to the vehicle-mounted sensors and the camera respectively, collect vehicle data through the vehicle-mounted sensors and the camera, and transmit the vehicle data to the Starflash gateway through the Starflash communication module; the Starflash gateway is used to upload the vehicle data to the cloud service platform in real time through the Starflash network; the cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains data processing results, and triggers corresponding vehicle control functions according to the data processing results.

[0144] In summary, the present invention provides a method, system, intelligent terminal and computer-readable storage medium for Internet of Vehicles based on the open source Hongmeng system and Star Flash technology, the method comprising: the vehicle terminal is pre-installed with a Star Flash communication module, the Star Flash communication module is connected to the vehicle-mounted sensor and the camera respectively, the vehicle data is collected through the vehicle-mounted sensor and the camera, and the vehicle data is transmitted to the Star Flash gateway through the Star Flash communication module; the Star Flash gateway uploads the vehicle data to the cloud service platform in real time through the Star Flash network; the cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control function according to the data processing results. The present invention uses Star Flash technology to achieve low-latency, high-reliability, and high-speed inter-vehicle communication, improves the compatibility and scalability of the Internet of Vehicles system through the open source Hongmeng system, supports a large number of vehicles to be connected at the same time, improves network capacity, enhances anti-interference capabilities, and ensures stable communication of vehicles in complex environments.

[0145] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or intelligent terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or intelligent terminal. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or intelligent terminal including the element.

[0146] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0147] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A vehicle networking method based on the open source Hongmeng system and Xingshan technology, characterized in that: The Internet of Vehicles networking method based on the open source Hongmeng system and Xingshan technology includes: The vehicle terminal is pre-installed with a Star Flash communication module, which is connected to the vehicle sensor and the camera respectively, and the vehicle data is collected through the vehicle sensor and the camera, and the vehicle data is transmitted to the Star Flash gateway through the Star Flash communication module; The Xingshan gateway uploads the vehicle data to the cloud service platform in real time through the Xingshan network; The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control functions according to the data processing results.

2. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The vehicle data includes: vehicle status data, environment perception data, location information and vehicle usage data.

3. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The transmitting the vehicle data to the cloud service platform through the Star Flash communication module also includes: Preprocessing the collected vehicle data; The preprocessing includes: data cleaning, data compression, data fusion, preliminary data analysis and data encryption.

4. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The data processing includes: data aggregation, data filtering, data association, statistical analysis, predictive analysis, pattern recognition and event detection.

5. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 4 is characterized in that: The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to obtain data processing results, and triggers corresponding vehicle control functions according to the data processing results, specifically including: The cloud service platform aggregates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and aggregates the data from multiple vehicles to conduct a comprehensive traffic flow analysis; The cloud service platform filters the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to remove redundant or erroneous data to ensure the quality of the analysis; The cloud service platform associates the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, and associates the data from different sources to provide driving suggestions; The cloud service platform performs statistical analysis on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, performs statistical operations on the vehicle data, and calculates the average vehicle speed and vehicle density; The cloud service platform uses the Internet of Vehicles application software based on the open source Hongmeng system to perform predictive analysis on the vehicle data and use machine learning algorithms to predict traffic patterns and vehicle failures; The cloud service platform performs pattern recognition on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to identify driving behavior patterns for improving driving safety; The cloud service platform performs event detection on the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, detects potential traffic accidents and traffic congestion incidents, and notifies relevant vehicles or management personnel in real time.

6. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 5 is characterized in that: The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system to obtain the data processing results, and triggers the corresponding vehicle control function according to the data processing results, and then also includes: The cloud service platform feeds back the data processing results to the vehicle terminal for real-time monitoring and driving assistance; The cloud service platform sends control instructions to the vehicle-mounted terminal, wherein the control instructions include remote diagnosis instructions and software upgrade packages.

7. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The Internet of Vehicles networking method based on the open source Hongmeng system and Xingshan technology also includes: The cloud service platform performs remote diagnosis and software upgrades on the vehicle; The cloud service platform performs remote diagnosis and software upgrades on the vehicle, specifically including: The vehicle terminal continuously collects various vehicle data of the vehicle and transmits it to the cloud service platform in real time through the Xingshan communication module; After receiving the vehicle data, the cloud service platform uses a preset diagnostic algorithm to perform real-time analysis on the vehicle data; If abnormal data or fault codes are detected, fault diagnosis will be performed to determine the cause of the fault and repair suggestions; When the diagnosis is completed, the cloud service platform sends the diagnosis result back to the vehicle and displays it to the driver through the vehicle terminal or directly takes corresponding measures; When the vehicle software needs to be updated, the cloud service platform sends the software upgrade instructions and software package of the new version to the designated vehicle terminal through the Xingshan Gateway; After receiving the upgrade instruction, the vehicle terminal performs software update according to the preset upgrade process; When the software upgrade is completed, the vehicle terminal will send a confirmation message to the cloud service platform to report the upgrade status; The cloud service platform verifies the upgrade results to ensure that the software upgrade is successful and the vehicle system operates stably.

8. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The Internet of Vehicles networking method based on the open source Hongmeng system and Xingshan technology also includes: Star Flash technology is used to establish a communication network between various vehicles, so as to realize data transmission between various vehicles through the communication network and perform functional control according to the transmitted data.

9. The vehicle networking method based on the open source Hongmeng system and Xingshan technology according to claim 1 is characterized in that: The functional controls include: collaborative driving, collision warning, vehicle distance keeping, traffic flow optimization, environmental perception sharing, emergency response, intelligent navigation, and vehicle control and optimization.

10. A vehicle networking system based on the open source Hongmeng system and Xingshan technology, characterized in that: The Internet of Vehicles networking system based on the open source Hongmeng system and Star Flash technology includes: an on-board terminal, a Star Flash gateway and a cloud service platform, and the Star Flash gateway establishes communication connections with the on-board terminal and the cloud service platform respectively; The vehicle terminal is used to pre-install a Star Flash communication module, connect the Star Flash communication module to the vehicle sensor and the camera respectively, collect vehicle data through the vehicle sensor and the camera, and transmit the vehicle data to the Star Flash gateway through the Star Flash communication module; The Xingshan gateway is used to upload the vehicle data to the cloud service platform in real time through the Xingshan network; The cloud service platform processes the vehicle data through the Internet of Vehicles application software based on the open source Hongmeng system, obtains the data processing results, and triggers the corresponding vehicle control functions according to the data processing results.

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