Self-media advertisement distribution and ground projection interaction method based on electric two-wheeled vehicle

Abstract

The invention relates to the technical field related to advertisement putting, in particular to a self-media advertisement distribution and ground projection interaction method based on an electric two-wheeled vehicle. The method comprises the following steps: acquiring vehicle information of the electric two-wheeled vehicle; the vehicle information comprises a riding track of a vehicle owner; performing advertisement task matching based on the vehicle information to determine a delivered target advertisement; detecting whether the target advertisement accords with a preset specification; and if the target advertisement accords with the specification, performing projection based on a projection module arranged on the electric two-wheeled vehicle, and realizing delivery of the target advertisement based on a two-dimensional code form.

Description

Technical Field

[0001] This application relates to the technical field of advertising placement, and specifically relates to a self-media advertising distribution and ground projection interaction method based on electric two-wheel vehicles. Background Art

[0002] Traditional vehicle body advertisements are mostly fixed prints. Not only are the production and replacement costs relatively high, but also dynamic and precise content adjustment cannot be achieved based on key factors such as user behavior habits and geographical locations, greatly limiting the reach rate and conversion effect of advertisements, and it is difficult to effectively meet the urgent needs of advertisers for precision marketing and high-efficiency traffic conversion. Summary of the Invention

[0003] In view of this, embodiments of this application are committed to providing a self-media advertising distribution and ground projection interaction method based on electric two-wheel vehicles.

[0004] This application provides a self-media advertising distribution and ground projection interaction method based on electric two-wheel vehicles, including:

[0005] Obtain the vehicle information of the electric two-wheel vehicle; the vehicle information includes: the owner's riding trajectory;

[0006] Based on the vehicle information, perform advertising task matching to determine the target advertisement to be placed;

[0007] Detect whether the target advertisement meets the preset regulations;

[0008] If the target advertisement meets the regulations, then based on the projection module provided on the electric two-wheel vehicle, perform projection to achieve the placement of the target advertisement in the form of a two-dimensional code.

[0009] In some embodiments, it further includes:

[0010] Obtain the advertising placement effect;

[0011] Based on the advertising placement effect, perform commission settlement.

[0012] In some embodiments, the vehicle information further includes: vehicle speed, battery power, driving mode.

[0013] In some embodiments, it further includes:

[0014] If the electric two-wheel vehicle is in the riding mode, then place social two-dimensional codes;

[0015] If the electric two-wheel vehicle is in the parking mode, then place advertising two-dimensional codes;

[0016] If the electric two-wheel vehicle is in the low battery mode, then place charging pile navigation two-dimensional codes.

[0017] In some embodiments, the advertisement task matching based on the vehicle information to determine the target advertisement to be delivered includes:

[0018] Based on a preset AI model, analyzing the vehicle information and the user's historical behavior in real time, and dynamically selecting the optimal advertisement task as the target advertisement.

[0019] In some embodiments, it further includes:

[0020] Preloading the task content of high-frequency advertisements.

[0021] In some embodiments, it further includes: conducting blockchain evidence storage for key operations;

[0022] Wherein the key operations include: the delivery data of the target advertisement.

[0023] This application provides a self-media advertisement distribution and ground projection interaction system based on an electric two-wheeler, including: a server, a user terminal, and a vehicle terminal;

[0024] The user terminal is respectively communicatively connected to the vehicle terminal and the server;

[0025] The vehicle terminal is used to obtain the vehicle information of the electric two-wheeler; the vehicle information includes: the owner's riding trajectory;

[0026] The user terminal and the server perform advertisement task matching based on the vehicle information to determine the target advertisement to be delivered; the user terminal detects whether the target advertisement meets the preset regulations;

[0027] The vehicle terminal is used to, if the target advertisement meets the regulations, project based on the projection module provided on the electric two-wheeler, so as to realize the delivery of the target advertisement in the form of a two-dimensional code.

[0028] In some embodiments, the server includes: a cloud server;

[0029] The user terminal includes: a portable intelligent terminal;

[0030] The vehicle terminal includes: a low-power projection module, an integrated vehicle status sensor, and a communication module.

[0031] In some embodiments, the communication module is a multi-channel communication module.

[0032] The self-media advertisement distribution and ground projection interaction method based on electric two-wheel vehicles provided by this application first obtains the vehicle information of the electric two-wheel vehicles; the vehicle information includes: the owner's riding trajectory; based on the vehicle information, an advertisement task matching is performed to determine the target advertisement to be placed; it is detected whether the target advertisement meets the preset regulations; if the target advertisement meets the regulations, then based on the projection module arranged on the electric two-wheel vehicle, projection is performed to realize the placement of the target advertisement in the form of a two-dimensional code. With such settings, in the solution provided by this application, by obtaining vehicle information such as the owner's riding trajectory, the position, driving route, and usage habits of the vehicle can be accurately grasped, providing an accurate basis for subsequent advertisement task matching, realizing the personalization and pertinence of advertisement placement, and improving the relevance between the advertisement and the user. Based on comprehensive vehicle information, advertisement tasks can be reasonably arranged, avoiding waste of resources caused by unreasonable task allocation, improving the overall efficiency of the advertisement placement system, ensuring that advertisement resources can accurately reach the target user group, and enhancing the advertisement benefit. Matching advertisement tasks based on vehicle information can comprehensively consider factors such as the location of the vehicle, driving state, and the user's behavior habits, so as to match the most suitable advertisement task for the owner according to the current situation and needs, improve the click-through rate and conversion rate of the advertisement, and enhance the actual effect of advertisement placement. Description of the Drawings

[0033] By describing the embodiments of the present application in more detail in combination with the drawings, the above and other objects, features, and advantages of the present application will become more obvious. The drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation to the present application. In the drawings, the same reference numerals generally represent the same components or steps.

[0034] Figure 1 It is a flowchart of the self-media advertisement distribution and ground projection interaction method based on electric two-wheel vehicles provided by an embodiment of the present application.

[0035] Figure 2 It is a system architecture diagram provided by an embodiment of the present application.

[0036] Figure 3 It is a flowchart of task matching and projection provided by an embodiment of the present application.

[0037] Figure 4 It is a flowchart of content compliance detection provided by an embodiment of the present application.

[0038] Figure 5 It is a flowchart of data security and privacy protection provided by an embodiment of the present application.

[0039] Figure 6 It is a flowchart of dynamic content distribution and intelligent algorithm provided by an embodiment of the present application.

[0040] Figure 7 It is a flowchart of data security and privacy protection provided by an embodiment of the present application. Detailed implementation manners

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] Figure 1 It is a schematic flowchart of a method for self-media advertisement distribution and ground projection interaction based on an electric two-wheeler provided by an embodiment of the present application. As Figure 1 shown, the method includes the following contents.

[0043] Step S110, obtaining vehicle information of the electric two-wheeler; the vehicle information includes: the owner's riding trajectory;

[0044] Specifically, a variety of sensors can be installed at key parts of the electric two-wheeler, such as an accelerometer, a gyroscope, a vehicle speed sensor, etc., to collect the vehicle's running data in real time, and transmit the data to the cloud server through a communication module. Further, the owner manually inputs or automatically synchronizes some vehicle-related information through a mobile phone APP, such as the basic parameters of the vehicle, maintenance records, etc., which together with the data collected by the vehicle in real time constitute a complete vehicle information database.

[0045] Step S120, performing advertisement task matching based on the vehicle information to determine the target advertisement to be delivered;

[0046] Specifically, artificial intelligence models such as reinforcement learning and clustering algorithms are used to learn and analyze a large amount of vehicle information and advertisement task data, establish a mapping relationship between the vehicle and the advertisement task, and achieve intelligent task matching. For example, the clustering algorithm is used to classify vehicles and advertisement tasks with similar characteristics to improve the matching efficiency and accuracy. During the task matching process, the latest status and location information of the vehicle are analyzed in real time, and the matching result is dynamically adjusted to ensure that the advertisement task adapts to the real-time situation of the vehicle and improve the timeliness and effectiveness of advertisement delivery.

[0047] Combined with the owner's riding trajectory and current location information, analyze the characteristics of the area where the vehicle is located, such as commercial areas, residential areas, and near schools, and match related advertising tasks for different areas, such as pushing shopping and catering ads in commercial areas, and pushing educational ads near schools. Based on historical riding data and user operation records on the APP, explore the owner's preferences and points of interest, such as places frequently visited and areas where they stay for a long time, and match advertising tasks that meet their preferences for owners with similar interests and behavior patterns to improve the attractiveness and relevance of advertising. Comprehensively consider factors such as vehicle speed and battery power to match vehicles in different states with appropriate advertising tasks. For example, for vehicles traveling at low speeds, you can push ads that require the owner to stop and view; for vehicles with low battery power, give priority to pushing nearby charging station navigation ads.

[0048] Step S130, detecting whether the target advertisement complies with preset regulations;

[0049] Specifically, building an automated detection system based on artificial intelligence and big data can quickly and accurately screen and analyze large amounts of advertising content, improve detection efficiency, and reduce labor costs.

[0050] Furthermore, on the basis of automated detection, a manual review mechanism is introduced for some complex or questionable advertising content, and professional reviewers will make further judgments and confirmations to ensure the accuracy and reliability of the detection results.

[0051] Check whether the content of the advertisement complies with the requirements of national laws and regulations, including the Advertising Law, the Consumer Rights Protection Law and other relevant laws and regulations, to ensure that the advertisement does not contain illegal and irregular activities such as false propaganda, misleading consumers, and infringement of the rights of others.

[0052] Review whether the advertisements comply with the platform's own rules and standards, such as ad format, size, delivery time limit, etc., to ensure the consistency of the advertisement display effect and user experience on the platform.

[0053] We use keyword filtering, image recognition and other technologies to conduct security checks on advertising content to prevent the appearance of advertisements containing negative information such as violence, pornography, terrorism, etc., and maintain the healthy ecological environment of the platform.

[0054] Step S140: If the target advertisement meets the requirements, projection is performed based on a projection module provided on the electric two-wheeled vehicle to implement delivery of the target advertisement in the form of a QR code.

[0055] Specifically, the projection module can be a low-power projection module: a low-power projection module with an IP67 protection rating and brightness adaptive adjustment function is adopted to ensure stable operation and long battery life in complex outdoor environments. The projection module can automatically adjust the projection brightness according to the surrounding ambient light, ensuring the clear visibility of the QR code, while reducing energy consumption and extending the service life of the vehicle battery. Through the linkage between the vehicle control system and the projection module, precise control of the projection position, angle, and size can be achieved, ensuring that the QR code can be accurately projected onto the ground or other specified positions, improving the display effect and attractiveness of the advertisement. The advertisement display form is QR code display: the advertisement content is displayed in the form of a QR code, and the vehicle owner or other users can jump to the corresponding advertisement page by scanning the QR code with their mobile phones, realizing the interaction and conversion of the advertisement. The QR code form has the advantages of large information capacity, easy recognition, low cost, etc., and can effectively improve the dissemination efficiency and effect of the advertisement. According to the real-time status and location information of the vehicle, as well as the task allocation instructions of the platform, the QR code advertisement content projected can be updated and switched in a timely manner, realizing the dynamic delivery and precise push of the advertisement, and improving the timeliness and pertinence of the advertisement.

[0056] In some embodiments, it further includes: obtaining the advertisement delivery effect; based on the advertisement delivery effect, performing commission settlement.

[0057] Specifically, the solution provided in this application also has the functions of advertisement delivery effect monitoring and commission settlement. The advertisement delivery effect monitoring module will collect user feedback data after the vehicle owner completes the advertisement task, such as the number of times the QR code is scanned, the stay time of the user on the advertisement page, the occurrence frequency of advertisement conversion behaviors (such as registration, purchase, etc.). These data will be used as important bases for evaluating the advertisement delivery effect. Based on these data, the system will perform commission settlement according to the preset commission rules. Usually, a hierarchical commission mechanism is adopted, including two parts: basic scan commission and conversion behavior commission. The basic scan commission is calculated based on the number of times the QR code is effectively scanned, and a fixed amount is paid to the vehicle owner for each scan; the conversion behavior commission is calculated based on the number of further conversion behaviors generated by the user due to the advertisement, such as the number of times of completing registration, purchase, etc. operations, and a higher amount is paid to the vehicle owner for each conversion. The commission settlement result will be promptly feedback to the vehicle owner to encourage their continuous participation in the advertisement task.

[0058] In some embodiments, the vehicle information further includes: vehicle speed, battery power, driving mode.

[0059] The following is a detailed introduction: The vehicle speed reflects the current driving speed of the electric two-wheeler and is an important parameter for judging the vehicle's operating state. It helps the system understand whether the vehicle is driving at a high speed, a low speed, or in a stopped state. The vehicle speed data is obtained in real time through a vehicle-mounted speed sensor. The sensor converts the vehicle speed signal into an electrical signal and transmits it to the vehicle's control system, which then sends the data to the cloud server through a communication module. When matching advertising tasks, the system determines the appropriate type of advertisement to be displayed based on the vehicle speed. For example, for a vehicle driving at a high speed, it may be more suitable to display some short and eye-catching advertisements to avoid distracting the vehicle owner too much. For a vehicle driving at a low speed or in a stopped state, detailed advertisements that require the vehicle owner to stay and view, such as promotional activities and information about nearby merchants, can be displayed.

[0060] The battery charge represents the percentage of the remaining charge of the electric two-wheeler's battery and is directly related to the vehicle's endurance. It is of great significance for the system's task allocation and power management. The vehicle's BMS (Battery Management System) is relied on to monitor parameters such as the battery voltage and current in real time, calculate the percentage of the remaining charge, and transmit the data to the cloud. The system decides whether to push advertising tasks related to charging based on the battery charge. When the battery charge is low, navigation advertisements for nearby charging piles are preferentially pushed to guide the vehicle owner to charge in a timely manner, and at the same time, it can also promote the charging pile operator.

[0061] The driving mode refers to the current operating mode of the vehicle, such as the economy mode, the sports mode, the cruise mode, etc. Under different modes, the vehicle's performance parameters and energy consumption conditions will vary. The vehicle control system automatically determines the current driving mode based on the vehicle owner's selection or the vehicle's operating state and transmits this information to the cloud server through a communication module. When matching advertising tasks, the system takes the vehicle's driving mode into consideration. For example, for vehicle owners who select the economy mode, advertisements for energy-saving products or services may be pushed. For vehicle owners who select the sports mode, advertisements related to sports and outdoor activities may be pushed.

[0062] In some embodiments, it further includes: If the electric two-wheeler is in the riding mode, social QR codes are displayed; if the electric two-wheeler is in the parking mode, advertising QR codes are displayed; if the electric two-wheeler is in the low-battery mode, navigation QR codes for charging piles are displayed.

[0063] The following is a detailed introduction: When the vehicle speed sensor of the vehicle detects that the vehicle speed is greater than 0 and continues to run for a certain period of time, and the vehicle is not in a stationary or parked state, the system determines that the vehicle is in the riding mode. In this mode, the system will give priority to displaying social QR codes, such as the personal social account QR code of the vehicle owner, the QR code for joining a riding community, etc. These QR codes can help the vehicle owner quickly establish social connections with other users during the ride, share the riding experience or join specific social groups. Through the communication module of the vehicle, it interacts with the cloud server in real time, obtains the content of the social QR codes pre-set by the vehicle owner, and projects them onto the ground through the low-power projection module. This method is not only convenient and fast, but also does not require the vehicle owner to operate the mobile phone during the ride, improving safety. At the same time, the display of social QR codes can also enhance the interactivity and stickiness among users, enriching the riding experience.

[0064] When the vehicle speed sensor of the vehicle detects that the vehicle speed is 0, and the position sensor of the vehicle detects that the vehicle has been in a parked state for a certain period of time, the system determines that the vehicle is in the parking mode. In the parking mode, the system will obtain and display the advertising QR code that best matches the current scenario from the cloud server according to the geographical location of the vehicle, the surrounding environment, and the historical behavior data of the vehicle owner, etc. For example, when parking in a commercial area, display the QR code for the preferential activities of a nearby shopping mall; when parking in a residential area, push the QR code for advertising of surrounding life services. Utilize the high-precision positioning system of the vehicle and the big data matching algorithm in the cloud to achieve precise advertising placement. At the same time, project the advertising QR code onto the ground through the projection module, which not only does not interfere with the normal parking of the vehicle, but also attracts the attention of the vehicle owner and surrounding pedestrians, improving the exposure rate and click-through rate of the advertisement. In addition, this display method also avoids the impact of traditional vehicle body advertisements on the vehicle appearance, being more flexible and beautiful.

[0065] When the BMS (Battery Management System) of the vehicle detects that the battery power is lower than a certain threshold (such as 20%), the system determines that the vehicle is in the low-battery mode. At this time, the system will automatically switch to the display strategy in the low-battery mode, and give priority to obtaining and displaying the navigation QR code of a nearby charging pile from the cloud server. This QR code contains accurate location information of the charging pile, navigation links, etc. The vehicle owner only needs to scan the QR code to directly start the navigation application and quickly go to charge. Through the real-time data synchronization between the battery management system of the vehicle and the cloud platform, it ensures that an effective charging solution is provided to the vehicle owner in a timely manner when the battery power is low. This automated display mechanism not only facilitates the vehicle owner, improves the timeliness and efficiency of charging, but also can cooperate with charging pile operators to bring potential users to them, achieving a win-win situation for all parties. At the same time, displaying the navigation information in the form of a QR code avoids disturbing the vehicle owner by frequently popping up prompt messages on the vehicle display screen, enhancing the user experience.

[0066] In some embodiments, the advertisement task matching based on the vehicle information to determine the target advertisement to be delivered includes: based on a preset AI model, analyzing the vehicle information and the user's historical behavior in real time, and dynamically selecting the optimal advertisement task as the target advertisement. The following is a detailed introduction:

[0067] The system obtains the vehicle information of the electric two-wheeler in real time, including the owner's riding trajectory, vehicle speed, battery power, driving mode, etc. This information is transmitted to the cloud server through the sensors and communication modules on the vehicle. The system collects the owner's behavioral data during past use, such as the areas where the owner often stays, the frequency and types of QR code scans, and the click and conversion behaviors on different types of advertisements. This data is stored in the cloud database and associated with the owner's account information.

[0068] The system adopts a reinforcement learning algorithm to continuously adjust the advertisement task matching strategy according to the vehicle information and the user's historical behavior. The reinforcement learning model learns, through interaction with the environment (i.e., the actual effect feedback of advertisement delivery), which advertisement task to select in different states to obtain the maximum long-term reward (such as advertisement click-through rate, conversion rate, etc.). Using the vehicle information and the user's historical behavior as feature vectors, a clustering analysis is performed on the owners. Owners with similar characteristics are grouped into the same cluster, and the system formulates specific advertisement task matching strategies for each cluster to improve the accuracy and efficiency of matching. When the system obtains the real-time vehicle information, it immediately combines the owner's historical behavior data for comprehensive analysis. The analysis content includes the commercial value of the current vehicle location, the owner's potential needs and interests, etc. Based on the analysis results of the AI model, the system dynamically selects the advertisement task that best matches the current vehicle information and the user's historical behavior from the advertisement task library as the target advertisement. During the selection process, multiple factors such as the expected click-through rate, conversion rate, and the advertiser's bid of the advertisement are comprehensively considered to ensure that the selected advertisement task can achieve the best delivery effect in the current situation.

[0069] After the advertisement is delivered, the system continuously monitors the delivery effect, such as the number of QR code scans, the user's stay time, the frequency of conversion behaviors, etc. This feedback data will be used as the reward signal for the reinforcement learning model for model update and optimization. According to the feedback data, the system regularly trains and optimizes the AI model, continuously adjusts the model's parameters and strategies to adapt to the changing market environment and user needs, and improves the accuracy of advertisement task matching and the delivery effect.

[0070] In some embodiments, it further includes: preloading the task content of high-frequency advertisements. The following is a detailed introduction:

[0071] The system analyzes a large amount of historical advertising data and user behavior data, and uses machine learning algorithms to predict which advertising tasks are likely to become high-frequency tasks. For example, for car owners in certain specific regions, certain types of advertisements (such as dining discounts, convenience store promotions, etc.) often have a high click-through rate and delivery frequency. During the actual operation process, the system also monitors the current advertising delivery trends and changes in user needs in real time. When it detects a sudden increase in the request frequency or relevance of an advertising task, it promptly includes it in the preloading scope to quickly respond to the dynamic changes in market demand and user interests.

[0072] The system maintains an advertising task library on the cloud server, which contains all the content of the advertising tasks that can be delivered. When preloading is required, the cloud server pushes the task content of the high-frequency advertisements to the corresponding vehicle terminal according to the preset rules and real-time analysis results. After receiving it, the vehicle terminal stores it in the local cache. To ensure the effective utilization of the local cache and the timely update of the advertising content, the system adopts a certain cache management strategy. For example, according to the estimated usage frequency and urgency of the advertising tasks, the advertising content in the cache is sorted by priority, and the high-frequency and high-priority advertising tasks are preferentially retained. For low-frequency, expired or irrelevant advertising content, it is promptly cleared to release the storage space.

[0073] By preloading the task content of high-frequency advertisements, when the vehicle enters a scenario suitable for delivering this advertisement, the system does not need to obtain the advertising data from the cloud in real time, but directly calls it from the local cache, greatly shortening the response time of the advertising delivery, improving the operation efficiency of the system and the user experience. It reduces the frequent access to the cloud server and the data transmission requirements, and reduces the impact of network latency on the advertising delivery. Especially in an environment with unstable or weak network signals, it can still ensure the timeliness and stability of the advertising delivery, enhancing the reliability and adaptability of the system. The preloaded advertising content is selected based on in-depth analysis of user behavior and market demand, and has a higher degree of matching with the actual usage scenarios and needs of the car owners. When the vehicle enters the corresponding scenario, it can quickly and accurately deliver the preloaded high-frequency advertisements, realizing the precise push and timely reach of the advertisements, and improving the click-through rate and conversion rate of the advertisements.

[0074] In some embodiments, it further includes: blockchain evidence preservation for key operations; wherein the key operations include: the delivery data of the target advertisement. The following is a detailed introduction:

[0075] Delivery data of target advertisements: including detailed information of advertising tasks, such as advertisement content, delivery time, delivery location, target audience characteristics, etc., and related operation records, such as timestamps and operator information of operations such as advertisement creation, review, delivery, suspension, termination, etc. In addition to advertisement delivery data, it may also include vehicle owner registration information, margin management records, commission settlement data, cheating determination basis and handling results, etc. These operations are of great significance to the trust mechanism, data security and operation transparency of the system.

[0076] Structurally organize the data of key operations according to certain rules to form a standardized data format for storage and verification on the blockchain. For example, encapsulate the advertisement delivery data into a data packet containing fields such as advertisement ID, delivery time, geographical location, target audience tags, etc. Apply a hash algorithm to the structured key operation data to generate a unique hash value. The hash value is unique and irreversible, and any tampering with the original data will cause a change in the hash value, thus effectively detecting the integrity of the data. Store the generated hash value and related operation information (such as timestamp, operator digital signature, etc.) on the blockchain. The distributed ledger feature of the blockchain ensures the immutability and traceability of the data. Once the data is written to the blockchain, it cannot be tampered with or deleted. Through blockchain evidence storage, the data of key operations is securely recorded on the immutable blockchain, providing a highly credible data source for the system. When a dispute occurs or the authenticity of the data needs to be verified, the original data can be verified at any time through the hash value on the blockchain, effectively preventing data fraud and tampering behaviors, and enhancing the overall security and credibility of the system. The open and transparent feature of the blockchain enables all participating parties (such as vehicle owners, advertisers, platform operators, etc.) to view the evidence storage records of key operations within the authorized scope, clearly understand the operation process and operation details of the system. This helps to eliminate information asymmetry, enhance the trust among all parties, promote the fair and just operation of the system, and improve the public credibility and market competitiveness of the platform. When disputes such as advertisement delivery effect disputes, commission settlement disputes or other disputes related to key operations occur, the data stored on the blockchain can be used as objective and credible evidence to quickly and accurately restore the truth, simplify the process and cost of dispute resolution, improve the efficiency and fairness of problem handling, and safeguard the legitimate rights and interests of all parties.

[0077] The system embodiment of this application can be used to execute the method embodiment of this application. For details not disclosed in the system embodiment of this application, please refer to the method embodiment of this application.

[0078] The self-media advertisement distribution and ground projection interaction system based on electric two-wheel vehicles provided by this application is characterized by including: a server, a user terminal, and a vehicle terminal; the user terminal is respectively communicatively connected to the vehicle terminal and the server; the vehicle terminal is used to obtain vehicle information of the electric two-wheel vehicle; the vehicle information includes: the owner's riding trajectory; the user terminal and the server perform advertisement task matching based on the vehicle information to determine the target advertisement to be placed; the user terminal detects whether the target advertisement complies with preset regulations; the vehicle terminal is used to project based on the projection module arranged on the electric two-wheel vehicle if the target advertisement complies with the regulations, so as to realize the placement of the target advertisement in the form of a two-dimensional code.

[0079] Furthermore, the server includes: a cloud server;

[0080] The user terminal includes: a portable intelligent terminal;

[0081] The vehicle terminal includes: a low-power projection module, an integrated vehicle status sensor, and a communication module.

[0082] Specifically, the communication module includes: a 4G communication sub-module and a Bluetooth communication sub-module.

[0083] The following further explains the solution provided by this application in combination with the above-mentioned various preferred embodiments:

[0084] This application aims to provide a low-cost and low-power dynamic projection system that supports multi-scenario two-dimensional code intelligent switching (social, advertising, charging navigation, etc.). Build a two-way interactive platform between users and advertisers, and achieve precise advertisement placement and commission incentives through vehicle projection of two-dimensional codes. Enhance the commercial value and user stickiness of electric two-wheel vehicles. Realize precise placement of advertisers and efficient conversion of offline traffic, and promote electric two-wheel vehicles to become urban mobile advertising media. Through the built-in algorithm of the mobile phone APP, the legality and compliance of the user's operation content are detected in real time to prevent the output of illegal or unqualified content and ensure the safe operation of the system.

[0085] The hardware system includes: a low-power projection module (adopting IP67 protection and self-adaptive adjustment of oil brightness).

[0086] Integrated vehicle status sensors (including: an accelerometer, a gyroscope, and a BMS battery management system).

[0087] 4G / Bluetooth communication module, supporting real-time interaction with the cloud.

[0088] The software platform includes: Cloud task distribution system: Connects to self-media platforms such as Douyin and Taobao Alliance to generate dynamic QR codes with tracking parameters. A task matching engine based on AI (Artificial Intelligence) models (reinforcement learning, clustering algorithms), which optimizes the allocation strategy by combining data such as cycling heat maps and user preferences. Key blockchain operations for evidence storage (such as commission settlement, fraud determination) to ensure data immutability. Multi-source data fusion: Integrates GPS, gyroscope, and environmental sensor data to generate accurate user profiles. User-side APP: Allows vehicle owners to register, manage the security deposit (300 - 500 yuan), select tasks, and settle commissions. Real-time earnings dashboard: Displays the daily commission, task completion rate, and regional rankings. Intelligent task recommendation: Recommends high-earning tasks based on the vehicle owner's historical performance (such as "Your conversion rate for game promotion in this area is high"). Anti-fraud algorithm: Verifies the authenticity of the QR code scan based on location and device ID to prevent forgery. Dynamic switching logic: Since most electric vehicles are for short-distance rides, the vehicle's sensors and control system can be used to collect real-time vehicle status data, including speed, battery level, driving mode, etc., and switch different QR codes according to the vehicle status. Specifically, for the riding mode: The electric vehicle can project social connection codes, such as WeChat business cards, QR codes, etc., through the vehicle's projection device, facilitating users to quickly establish social connections with others during the ride. Projected social connection code (such as WeChat business card). For the parking mode: Utilizes high-precision positioning systems such as GPS and Beidou to obtain the vehicle's geographical location information in real-time. Pushes high-earning advertising codes (such as short drama promotions) based on the geographical location. For example, in the commercial area, it pushes advertising codes related to shopping and dining, and in the residential area, it pushes advertising codes related to life services. When the vehicle is parked near a shopping center, it can push the advertising code of a popular short drama to attract users to watch. For the low battery mode: Utilizes high-precision positioning systems such as GPS and Beidou to obtain the vehicle's geographical location information in real-time. For example, when the vehicle enters a specific area (such as near a charging pile), the system can identify and trigger the corresponding projected content.

[0089] Automatically project the navigation code of nearby charging piles.

[0090] Communication protocol optimization and multi-modal transmission: Introduces lightweight communication protocols (such as MQTT, CoAP) to reduce transmission latency and power consumption; supports 4G / 5G, Bluetooth, LoRa multi-mode communication, and automatically switches according to the network status.

[0091] Dynamic content delivery and intelligent algorithms: Deploys AI models (such as reinforcement learning) to analyze the vehicle status, geographical location, and user historical behavior in real-time, and dynamically generates the optimal advertising tasks; pre-loads high-frequency task content on the in-vehicle device to reduce dependence on the cloud.

[0092] Enhanced Data Security and Privacy Protection: Encrypt communication data using AES256 or national cryptographic algorithms; desensitize user-scanned code data before uploading; chain critical operations (such as commission settlement and fraud determination) to ensure data immutability.

[0093] Fault Recovery and Local Disaster Tolerance Mechanism: The in-vehicle terminal stores task data for the most recent 24 hours and can continue projection when the network is disconnected; deploy primary and standby dual-cloud servers (such as Alibaba Cloud + Huawei Cloud) to avoid single-point failures.

[0094] Open API and Third-Party Ecosystem Integration: Provide RESTful API / SDK to support one-click access to platforms such as Douyin, Kuaishou, and Meituan; open task customization tools to allow advertisers to independently design interactive advertisements (such as AR game code scanning).

[0095] User Experience Optimization and Real-Time Feedback: Enhance the car owner's APP (such as real-time earnings dashboard, intelligent task recommendation); upgrade the advertiser's background (such as data dashboard, A / B testing function).

[0096] The system provided by this application also includes: Keyword filtering: Based on NLP (Natural Language Processing) technology, build an illegal vocabulary library and match the user input content in real time. Image recognition: Use deep learning models (such as YOLO, ResNet) to perform image analysis on the target page pointed to by the QR code to ensure no sensitive content. Behavior monitoring: Identify abnormal behaviors and trigger an early warning mechanism through user operation logs (such as QR code generation frequency, distribution of code-scanning devices). Set the QR code generation frequency, and identify abnormal behaviors by analyzing the frequency of user-generated QR codes. For example, if a user generates a large number of QR codes in a short period of time, it may indicate abnormal behavior. Identify abnormal behaviors by analyzing the distribution of code-scanning devices. For example, if a user frequently scans codes on multiple different devices, it may indicate abnormal behavior. Hierarchical risk control strategy: Combine device ID, geographical fence (radius 50 meters), and behavior trajectory analysis to anti-fraud in real time.

[0097] The solution provided by this application has the following features: It pioneers a dynamic projection control method that links "vehicle status, geographical location, and user behavior". Hierarchical commission mechanism: basic scanning code commission (0.1 yuan) + conversion behavior commission (15 yuan). End-to-end security system: AES-256 encrypted communication, anonymized data desensitization, and blockchain forensics. Content compliance detection algorithm: real-time detection of whether the content generated or operated by users complies with laws, regulations, and platform rules. Open ecological integration: provides standardized APIs / SDKs, supporting one-click access for third-party platforms such as Douyin and Meituan. Low cost and high efficiency: the cost of the projection module is only 30% of that of the in-vehicle screen, and the power consumption ≤ 2W. Precise advertising delivery: based on the matching task of the user's cycling heat map and the advertiser's needs, the pilot data shows that the ROI reaches 1:8. Precision and scalability: based on the AI-based advertising matching pilot, supports LBS targeted push and dynamic pricing. The open API shortens the advertiser's access cycle to 1 hour, and the platform task volume increases by 50%. Significant user incentives: the average daily scanning income of the pilot vehicle owners can reach 520 yuan, and the user activity increases by 300% (compared with traditional vehicles). Strong technical compatibility: supports seamless docking with third-party platforms (WeChat Pay, Gaode Map). Content security: end-to-end encryption and blockchain forensics reduce the data leakage risk by 90%, meeting the requirements of GDPR. Real-time content compliance detection (NLP + image recognition) blocks illegal content and reduces legal risks. User experience optimization: the participation of vehicle owners increases by 40%, and the advertising efficiency of advertisers increases by 35%. The dynamic sleep mechanism and energy recovery technology extend the device's battery life. Social value enhancement: electric two-wheelers are upgraded from simple transportation tools to urban mobile advertising media, promoting the development of the gig economy.

[0098] Specifically, the system architecture refers to Figure 2 , showing the hardware layer, the main control layer, the cloud layer, the self-media platform layer, and the content compliance detection module.

[0099] Specifically, the task matching and projection flow chart refers to Figure 3 , including: the complete process of the owner's cycling trajectory, advertising task matching, QR code generation, and projection execution, with a new content compliance detection link added.

[0100] Specifically, the content compliance detection flow chart refers to Figure 4 , including: showing the specific detection logic and hierarchical processing mechanism of keyword filtering, image recognition, and behavior monitoring. It includes multi-modal detection, blockchain forensics, and warning mechanisms.

[0101] Specifically, the data security and privacy protection process refers to Figure 5 , Figure 5 showing the switching logic and data flow path of 4G / 5G, Bluetooth, and LoRa multi-mode communication.

[0102] Specifically, the dynamic content delivery and intelligent algorithm process refers toFigure 6 , Figure 6 Specifically describe how the AI model analyzes vehicle status, geographical location, and user historical behavior in real time to dynamically generate optimal advertising tasks.

[0103] Specifically, for the data security and privacy protection process, refer to the attached figure Figure 7 , Figure 7 Specifically describe the specific implementation logic of end-to-end encryption, blockchain evidence storage, and user data desensitization shown.

[0104] The present application will be described below in combination with specific scenarios and embodiments:

[0105] Embodiment 1: Social connection scenario:

[0106] When vehicle owner A rides to the commercial area, the system detects that the vehicle speed is zero, and the APP software sends a code scanning request. The APP generates a QR code pattern according to the content preset by the customer and projects the social QR code onto the ground through a projection device.

[0107] After user B scans the code, it jumps to the main page of vehicle owner A's cycling community and initiates a team invitation.

[0108] The data is fed back to the cloud to optimize the social function recommendation strategy.

[0109] Embodiment 2: Advertising task distribution scenario:

[0110] When vehicle owner C parks at the university town, the system allocates a game promotion task according to historical data.

[0111] The projected QR code contains tracking parameters (such as "task ID = 123"), and the task ID is used to track the advertising conversion path and associate with the vehicle owner's commission settlement.

[0112] When a student scans the code to download and register the game, vehicle owner C gets a basic commission of 0.1 yuan + a conversion commission of 3 yuan.

[0113] Embodiment 3: Anti-cheating detection scenario:

[0114] Vehicle owner D attempts to forge code scanning data (scanning multiple times with the same device).

[0115] The system detects that the device ID is repeated and the positioning distance > 50 meters, determines it invalid and deducts the deposit.

[0116] Embodiment 4: Content compliance detection scenario:

[0117] Vehicle owner E generates a QR code pointing to an illegal website.

[0118] The built-in algorithm of the system detects illegal keywords, blocks the QR code and notifies the administrator, and records the violation behavior for subsequent risk control processing.

[0119] Example 5: Dynamic Content Delivery and Intelligent Algorithm Scenario:

[0120] Vehicle owner F parks at a commercial area. The system, based on real-time data analysis (such as user preferences and regional popularity), gives priority to pushing dining discount codes.

[0121] The in-vehicle terminal pre-loads high-frequency task content, reducing dependence on the cloud and shortening the response time to 0.5 seconds.

[0122] User G completes an order after scanning the code, and vehicle owner F gets a basic commission of 0.1 yuan + a conversion commission of 3 yuan.

[0123] Example 6: Multi-channel Communication Disaster Recovery Scenario: |

[0124] Vehicle owner B enters an underground garage, and the 4G signal is interrupted. The system automatically switches to Bluetooth Mesh networking to maintain basic communication functions.

[0125] The in-vehicle terminal relies on local caching to continue projecting the charging pile navigation code to ensure service continuity.

[0126] Example 7: Edge Computing and Data Fusion Scenario:

[0127] The in-vehicle terminal collects data on the user's code scanning frequency, battery level, and ambient light, and uploads it to the cloud after filtering out outliers through edge computing.

[0128] The cloud combines multi-source data to optimize the advertising push strategy, projecting low-brightness QR codes during night rides to save energy.

[0129] Example 8: Open Ecosystem Integration Scenario: |

[0130] Advertisers access the platform through standardized APIs and independently design AR game interactive ads. |

[0131] After vehicle owner C completes the task, the data is stored on the blockchain and the commission is settled in real time, enhancing the advertisers' trust.

[0132] In addition, an embodiment of the present application can also be a computer-readable storage medium storing computer program instructions, which, when run by a processor, cause the processor to execute the steps in the method for self-media advertisement distribution and ground projection interaction based on electric two-wheel vehicles according to various embodiments of the present application described in the "Exemplary Method" section above of this specification.

[0133] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0134] The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although several example aspects and embodiments have been discussed above, those skilled in the art will recognize some of their variations, modifications, alterations, additions, and sub-combinations.

Claims

1. A method for self-media advertisement distribution and ground projection interaction based on an electric two-wheeler, characterized in that Including: Obtaining vehicle information of an electric two-wheeler; The vehicle information includes: the owner's riding trajectory; Performing advertisement task matching based on the vehicle information to determine the target advertisement to be delivered; Detecting whether the target advertisement complies with preset regulations; If the target advertisement complies with the regulations, then based on the projection module provided on the electric two-wheeler, perform projection to achieve the delivery of the target advertisement in the form of a two-dimensional code.

2. The method for self-media advertisement distribution and ground projection interaction based on an electric two-wheeler according to claim 1, wherein It also includes: Obtaining the advertisement delivery effect; Settling the commission based on the advertisement delivery effect.

3. The self-media advertisement distribution and ground projection interaction method based on an electric two-wheeler according to claim 1, wherein, The vehicle information also includes: vehicle speed, battery power, driving mode.

4. The method for self-media advertisement distribution and ground projection interaction based on an electric two-wheeler according to claim 3, wherein, It also includes: If the electric two-wheeler is in the riding mode, then deliver social-type two-dimensional codes; If the electric two-wheeler is in the parking mode, then deliver advertisement-type two-dimensional codes; If the electric two-wheeler is in the low-battery mode, then deliver charging pile navigation two-dimensional codes.

5. The self-media advertisement distribution and ground projection interaction method based on an electric two-wheeler according to claim 1, wherein, The performing advertisement task matching based on the vehicle information to determine the target advertisement to be delivered includes: Based on a preset AI model, analyzing the vehicle information and the user's historical behavior in real time, and dynamically selecting the optimal advertisement task as the target advertisement.

6. The self-media advertisement distribution and ground projection interaction method based on an electric two-wheeler according to claim 1, wherein, It also includes: Preloading the task content of high-frequency advertisements.

7. The self-media advertisement distribution and ground projection interaction method based on an electric two-wheeler according to claim 1, wherein It also includes: Performing blockchain evidence storage for key operations; Wherein the key operations include: the delivery data of the target advertisement.

8. An interactive system for self-media advertisement distribution and ground projection based on an electric two-wheeler, characterized in that, Including: A server, a user terminal, and a vehicle terminal; The user terminal is respectively communicatively connected to the vehicle terminal and the server; The vehicle terminal is used to obtain the vehicle information of the electric two-wheeler; The vehicle information includes: the owner's riding trajectory; The user terminal and the server perform advertisement task matching based on the vehicle information to determine the target advertisement to be delivered; the user terminal detects whether the target advertisement complies with preset regulations; The vehicle terminal is used to, if the target advertisement complies with the regulations, then based on the projection module provided on the electric two-wheeler, perform projection to achieve the delivery of the target advertisement in the form of a two-dimensional code.

9. The self-media advertisement distribution and ground projection interaction system based on an electric two-wheeler according to claim 8, wherein The server includes: a cloud server; The user terminal includes: a portable intelligent terminal; The vehicle terminal includes: a low-power projection module, an integrated vehicle status sensor, and a communication module.

10. The self-media advertisement distribution and ground projection interaction system based on an electric two-wheeler according to claim 9, characterized in that, The communication module is a multi-channel communication module.

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