Vehicle parking payment method and device, electronic equipment and storage medium

Abstract

The invention provides a vehicle parking payment method and device, electronic equipment and a storage medium, and is applied to a vehicle-mounted intelligent agent, and the method comprises the steps: responding to a vehicle payment request triggered when a vehicle leaves a parking lot, accessing a preset user behavior knowledge base to obtain a common payment mode of a user, and waking up vehicle-mounted auxiliary equipment corresponding to the common payment mode to execute payment operation; acquiring a fee deduction coupon used by the user in the payment process, determining deduction coupon source information corresponding to the fee deduction coupon, combining the deduction coupon source information and the user identity identifier into user portrait information, and storing the user portrait information in a preset user behavior knowledge base; and when the vehicle enters the parking lot every time, accessing a preset user behavior knowledge base to traverse the user portrait information, screening deduction coupon source information matched with the current parking lot, and recommending the deduction coupon source information to the user. According to the invention, the efficiency of parking fee payment and the user experience can be improved through intelligent recommendation of common fee payment modes, personalized fee deduction and accurate matching of parking lots and deducted coupons.

Description

Technical Field

[0001] The present disclosure relates to the field of intelligent parking technology, and in particular to a vehicle parking payment method, device, electronic device and storage medium. Background Art

[0002] With the acceleration of urbanization and the continuous growth of vehicle ownership, parking lot management and services have become an important part of the urban transportation system. In order to improve user experience and parking efficiency, many intelligent parking systems have been gradually applied to real life, especially in the parking payment process. The traditional manual payment method has been gradually replaced by an automated and intelligent payment system. However, the existing intelligent parking system still has certain limitations in payment methods. For example, users need to repeatedly select payment methods in different parking lots, and it is impossible to intelligently recommend the best payment method, resulting in poor user experience.

[0003] The existing parking payment system usually relies on fixed payment methods, lacks in-depth analysis and understanding of user behavior habits, and cannot make intelligent recommendations and operations based on the personalized needs of users. In addition, during the parking payment process, users often use various fee deduction coupons, such as shopping mall points deduction coupons, full amount discount coupons, etc., but the existing system fails to effectively integrate and utilize these deduction resources, making it difficult to provide users with the best fee deduction plan. Based on this, how to realize intelligent and automated parking payment operations and effectively integrate and utilize these fee deduction resources has become an urgent problem to be solved. Summary of the invention

[0004] The embodiments of the present disclosure at least provide a vehicle parking payment method, device, electronic device and storage medium, which can improve the efficiency of parking payment and user experience by intelligently recommending common payment methods, personalized fee deductions, and accurately matching parking lots and deduction coupons.

[0005] The present disclosure provides a vehicle parking fee payment method, which is applied to a vehicle-mounted intelligent body. The method includes:

[0006] In response to a vehicle payment request triggered when the vehicle leaves the vehicle, access a preset user behavior knowledge base to obtain the user's commonly used payment method, and wake up the vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation;

[0007] Obtain the fee deduction voucher used by the user during the payment process, determine the deduction voucher source information corresponding to the fee deduction voucher, and combine the deduction voucher source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base;

[0008] Each time a vehicle enters the parking lot, the preset user behavior knowledge base is accessed to traverse the user portrait information, the discount coupon source information matching the current parking lot is screened, and the discount coupon source information is recommended to the user.

[0009] In an optional implementation manner, the vehicle-mounted auxiliary device includes a vehicle-mounted camera, and waking up the vehicle-mounted auxiliary device corresponding to the common payment method to perform a payment operation specifically includes:

[0010] Waking up the vehicle-mounted camera disposed in the cockpit and sending an image acquisition instruction to the vehicle-mounted camera;

[0011] receiving a driving position image acquired by the vehicle-mounted camera in response to the image acquisition instruction, and preprocessing the driving position image;

[0012] Identifying a facial region in the driving position image and determining a facial feature vector corresponding to the facial region;

[0013] The person's identity information is identified based on the facial feature vector, and the person's identity information is carried out for identity authentication. If the authentication is passed, payment deduction is executed.

[0014] In an optional implementation manner, obtaining the fee deduction voucher used by the user during the payment process and determining the deduction voucher source information corresponding to the fee deduction voucher specifically includes:

[0015] Determine the deduction type corresponding to the expense deduction voucher, the deduction type at least including shopping mall points deduction and full-amount consumption reduction deduction;

[0016] For the expense deduction voucher of the shopping mall point deduction type, determining that the source information of the deduction voucher is the shopping mall identity identification information corresponding to the expense deduction voucher;

[0017] For the expense discount coupon of the type of full-amount consumption exemption and deduction, the source information of the discount coupon is determined to be the type information of the commodity consumed corresponding to the expense discount coupon or the store identity identification information.

[0018] In an optional implementation, accessing the preset user behavior knowledge base to traverse the user portrait information, screening the discount coupon source information matching the current parking lot, and recommending the discount coupon source information to the user specifically includes:

[0019] Determine the parking lot location information of the vehicle currently entering;

[0020] Determine, according to the parking lot location information, shopping mall information, store information within a preset range, and commodity type information corresponding to the store information;

[0021] Traversing the user portrait information in the preset user behavior knowledge base, screening the target shopping mall information, target store information and target commodity type information corresponding to the target store information that match the shopping mall identity information, the store identity information and the commodity type information stored in the user portrait information;

[0022] The target shopping mall information, target store information, and target commodity type information corresponding to the target store information are recommended to the user.

[0023] In an optional implementation, traversing the user portrait information in the preset user behavior knowledge base, screening the target shopping mall information, target store information, and target product type information corresponding to the target store information that match the shopping mall identity information, the store identity information, and the product type information stored in the user portrait information, specifically includes:

[0024] Convert each piece of the shopping mall identity information, the store identity information, and the commodity type information stored in the preset user behavior knowledge base into corresponding first numerical vector information;

[0025] Convert each piece of the shopping mall information, the store information, and the commodity type information corresponding to the store information within a preset range of the current parking lot into corresponding second numerical vector information;

[0026] Determine the vector similarity between each of the first numerical vector information and the corresponding second numerical vector information, and screen the target shopping mall information, the target store information, and the target commodity type information whose vector similarity is greater than a preset similarity threshold.

[0027] The present disclosure also provides a vehicle parking fee payment device, which is applied to a vehicle-mounted intelligent body, and the device includes:

[0028] A payment trigger module, which is used to respond to a vehicle payment request triggered when the vehicle leaves the vehicle, access a preset user behavior knowledge base to obtain the user's commonly used payment method, and wake up the vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation;

[0029] A user portrait generation module is used to obtain the fee deduction coupons used by the user during the payment process, determine the deduction coupon source information corresponding to the fee deduction coupon, and combine the deduction coupon source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base;

[0030] The information recommendation module is used to access the preset user behavior knowledge base to traverse the user portrait information each time a vehicle enters the parking lot, filter the discount coupon source information that matches the current parking lot, and recommend the discount coupon source information to the user.

[0031] In an optional implementation manner, the payment trigger module is specifically used to:

[0032] Waking up the vehicle-mounted camera disposed in the cockpit and sending an image acquisition instruction to the vehicle-mounted camera;

[0033] receiving a driving position image acquired by the vehicle-mounted camera in response to the image acquisition instruction, and preprocessing the driving position image;

[0034] Identifying a facial region in the driving position image and determining a facial feature vector corresponding to the facial region;

[0035] The person's identity information is identified based on the facial feature vector, and the person's identity information is carried out for identity authentication. If the authentication is passed, payment deduction is executed.

[0036] An embodiment of the present disclosure also provides an electronic device, including: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the above-mentioned vehicle parking payment method, or steps in any possible implementation of the above-mentioned vehicle parking payment method, are executed.

[0037] The embodiment of the present disclosure also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned vehicle parking payment method or the steps in any possible implementation of the above-mentioned vehicle parking payment method are executed.

[0038] The present disclosure also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the above-mentioned vehicle parking payment method, or the steps in any possible implementation of the above-mentioned vehicle parking payment method.

[0039] A vehicle parking payment method, device, electronic device and storage medium provided by the disclosed embodiment are applied to an on-vehicle intelligent body, and in response to a vehicle payment request triggered when a vehicle exits, accesses a preset user behavior knowledge base to obtain the user's commonly used payment method, and wakes up the on-vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation; obtains the fee deduction coupon used by the user during the payment process, determines the deduction coupon source information corresponding to the fee deduction coupon, and combines the deduction coupon source information with the user identity identifier as user portrait information and stores it in the preset user behavior knowledge base; each time a vehicle enters the parking lot, accesses the preset user behavior knowledge base to traverse the user portrait information, filters the deduction coupon source information that matches the current parking lot, and recommends the deduction coupon source information to the user. The efficiency of parking payment and user experience can be improved by intelligently recommending commonly used payment methods, personalized fee deductions, and accurately matching parking lots and deduction coupons.

[0040] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following is a brief introduction to the drawings required for use in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can also be obtained based on these drawings without creative work.

[0042] Figure 1 A flow chart of a vehicle parking fee payment method provided by an embodiment of the present disclosure is shown;

[0043] Figure 2 A flow chart showing another vehicle parking fee payment method provided by an embodiment of the present disclosure;

[0044] Figure 3 A schematic diagram of a vehicle parking fee payment device provided by an embodiment of the present disclosure is shown;

[0045] Figure 4 A schematic diagram of an electronic device provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0047] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0048] The term "and / or" herein only describes an association relationship, indicating that three relationships may exist. For example, A and / or B may represent the following three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C may represent including any one or more elements selected from the set consisting of A, B, and C.

[0049] Research has found that the existing parking payment system usually relies on fixed payment methods, lacks in-depth analysis and understanding of user behavior habits, and cannot make intelligent recommendations and operations based on the personalized needs of users. In addition, during the parking payment process, users often use various fee deduction coupons, such as shopping mall points deduction coupons, full amount discount coupons, etc., but the existing system fails to effectively integrate these deduction resources, making it difficult to provide users with the best fee deduction plan. Based on this, how to achieve intelligent and automated parking payment operations and effectively integrate and recommend fee deduction resources has become an urgent problem to be solved.

[0050] Based on the above research, the present disclosure provides a vehicle parking payment method, device, electronic device and storage medium, which are applied to an on-vehicle intelligent body, and in response to a vehicle payment request triggered when a vehicle exits, accesses a preset user behavior knowledge base to obtain the user's commonly used payment method, and wakes up the on-vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation; obtains the fee deduction coupon used by the user during the payment process, determines the deduction coupon source information corresponding to the fee deduction coupon, and combines the deduction coupon source information with the user identity identifier as user portrait information and stores it in the preset user behavior knowledge base; each time a vehicle enters the parking lot, accesses the preset user behavior knowledge base to traverse the user portrait information, filters the deduction coupon source information that matches the current parking lot, and recommends the deduction coupon source information to the user. The efficiency of parking payment and user experience can be improved by intelligently recommending commonly used payment methods, personalized fee deductions, and accurately matching parking lots and deduction coupons.

[0051] To facilitate understanding of this embodiment, a vehicle parking fee payment method disclosed in the embodiment of the present disclosure is first introduced in detail. The execution subject of the vehicle parking fee payment method provided in the embodiment of the present disclosure is generally a computer device with certain computing capabilities, and the computer device includes, for example: a terminal device or a server or other processing device, and the terminal device can be a user equipment (User Equipment, UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. In some possible implementations, the vehicle parking fee payment method can be implemented by a processor calling a computer-readable instruction stored in a memory.

[0052] See also Figure 1 FIG. 1 is a flow chart of a vehicle parking fee payment method provided by an embodiment of the present disclosure. The method is applied to a vehicle-mounted intelligent body and includes steps S101 to S103, wherein:

[0053] S101. In response to a vehicle payment request triggered when a vehicle leaves a vehicle, access a preset user behavior knowledge base to obtain a user's commonly used payment method, and wake up an in-vehicle auxiliary device corresponding to the commonly used payment method to perform a payment operation.

[0054] In specific implementation, when a vehicle drives towards the parking lot exit or enters a specific area of ​​the parking lot, the parking lot exit detection device will detect this action and trigger a payment request. This detection method relies on the parking lot's ground sensor coil, camera or other sensor equipment. For example, when the ground sensor coil senses the passing of a vehicle, or the on-board camera captures the exit sign, the parking cloud platform system will recognize that the vehicle is about to leave the parking lot, and automatically generate a request to pay the parking fee.

[0055] Here, the parking cloud platform system generates a payment request, which includes data such as the parking duration, parking fee, and related parking lot information, and notifies the on-board intelligent agent to prepare for the payment operation.

[0056] Among them, the on-board intelligent agent can be an on-board computer or processor equipped with multiple applications and intelligent neural networks.

[0057] Specifically, when a payment request is triggered, the in-vehicle intelligent agent automatically accesses the preset user behavior knowledge base and retrieves records related to the current user, especially the payment methods used by the user in the past. For example, the system will find out whether the user paid via WeChat Pay, Alipay, or used a parking card or credit card the last time he parked. And among the payment methods used by the user in the past, the user's payment history is counted to obtain the user's commonly used payment method. For example, if a user has used Alipay to pay for parking fees many times, the system will identify Alipay as the user's commonly used payment method.

[0058] Here, if the user has multiple commonly used payment methods, these commonly used payment methods can be prioritized based on factors such as frequency, last usage time, payment convenience, etc., and the payment method that best suits the current scenario can be selected.

[0059] Furthermore, after determining the user's commonly used payment method, the in-vehicle auxiliary equipment related to the payment method is activated. For example, if the user often uses mobile NFC payment, the system will activate the in-vehicle NFC payment terminal to allow the user to complete the payment through the mobile phone. If it is a QR code payment, the in-vehicle display may display a QR code, and the user can complete the payment by scanning with the mobile phone.

[0060] Here, after waking up the relevant in-vehicle auxiliary equipment, the system will prompt the user to make a payment. After the user confirms the payment, the system will automatically complete the fee deduction. Once the payment is successful, the system will notify the parking lot to release the user, and the user can exit smoothly. At the same time, the in-vehicle intelligent agent can also update the user behavior knowledge base and record this payment behavior for more intelligent recommendations in the future.

[0061] As a possible implementation, the vehicle-mounted auxiliary device may be a vehicle-mounted camera, and the payment operation may be performed through the following steps 1 to 4:

[0062] Step 1 wakes up the vehicle-mounted camera arranged in the cockpit and sends an image acquisition instruction to the vehicle-mounted camera.

[0063] Step 2 receives the driving seat image captured by the vehicle-mounted camera in response to the image acquisition instruction, and pre-processes the driving seat image.

[0064] Step 3 identifies the facial area in the driving position image and determines the facial feature vector corresponding to the facial area.

[0065] Step 4 identifies the person's identity information based on the facial feature vector, and carries out identity authentication with the person's identity information. If the authentication is successful, payment deduction is executed.

[0066] In the specific implementation, when the vehicle-mounted intelligent body determines that facial recognition is needed to perform the payment operation, the vehicle-mounted intelligent body will activate (wake up) the vehicle-mounted camera in the cockpit. The camera is in standby or dormant state when not in use to save energy and reduce the impact on the vehicle environment. The wake-up action switches the camera from dormant state to working state, ready for image acquisition.

[0067] Here, the vehicle camera is usually installed above the rearview mirror, near the dashboard or A-pillar, etc., which can capture the driver's facial area. The camera uses CMOS or CCD sensors to capture light and convert it into digital image signals.

[0068] Specifically, once the on-board camera is awakened, the on-board intelligent body will send a command to the camera, asking it to start collecting images. This command usually includes specific image acquisition parameters, such as resolution, exposure time, focus mode, etc., to ensure that the camera can collect high-quality facial images of the driver. After receiving the image acquisition command, the camera will immediately capture images of the driver's seat. These images usually include the driver's face, shoulders, and part of the interior environment of the car. The collected images will be transmitted back to the computing platform of the on-board intelligent body for processing.

[0069] Here, before formal facial recognition is performed, the image needs to be preprocessed, including removing noise from the image, improving image quality, optimizing image brightness and contrast, making facial features more obvious, cropping out the driver's facial area as needed, and scaling it to an appropriate size.

[0070] Furthermore, the onboard intelligent agent uses algorithms such as deep learning models to identify the specific location of the face in the preprocessed image to detect facial features such as eyes, nose, mouth, etc., and locate the entire facial area. After identifying the facial area, the onboard intelligent agent extracts the facial feature vector, which is a digital representation that represents the key features of the face, such as face shape, eye distance, nose shape, etc. These feature vectors will be used for subsequent identity recognition.

[0071] Here, the vehicle agent compares the extracted facial feature vector with the facial features of the user pre-stored in the database. If the feature vector matches the feature vector of a pre-stored user, the system will recognize the identity of the current driver. After the driver's identity is recognized, the identity is further authenticated to ensure the security of the payment operation.

[0072] The authentication process may include communicating with a cloud server to verify the user's identity, or comparing multi-factor authentication information in the system, such as the user's biometrics or historical payment records.

[0073] After that, once the identity authentication is passed, the system will automatically execute the payment operation, which may include deducting the parking fee from the preset payment method (such as a bound credit card, WeChat, Alipay account, etc.). After the payment is completed, the system will notify the parking lot to release the vehicle and update the user behavior knowledge base to record this payment behavior.

[0074] S102. Obtain the fee deduction coupons used by the user during the payment process, determine the fee deduction coupon source information corresponding to the fee deduction coupon, and combine the fee deduction coupon source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base.

[0075] In the specific implementation, when the user performs the payment operation, the system will automatically detect and obtain any fee discount coupons used by the user. For example, when the user pays by mobile phone, the system can extract the coupon data used from the payment information, or the user manually enters or selects a discount coupon through the vehicle system.

[0076] Specifically, determine the deduction type corresponding to the expense deduction voucher, which at least includes mall point deduction and deduction for a certain amount of consumption. For expense deduction vouchers of the mall point deduction type, determine that the source information of the deduction voucher is the mall identity information corresponding to the expense deduction voucher. For expense deduction vouchers of the certain amount of consumption deduction type, determine that the source information of the deduction voucher is the type of commodity consumed corresponding to the expense deduction voucher or the store identity information.

[0077] Here, the discount coupon source information refers to the issuer of the coupon or related information, such as which shopping mall issued the points coupon, which store provided the discount coupon, or which product category the coupon belongs to.

[0078] If the user uses a shopping mall coupon, the system will identify the mall information corresponding to the coupon. This may include the name, location, or identifier of the mall; for coupons with a certain amount of discount, the system will identify the store information that provides this discount, or the category of goods related to the discount. For example, if a user uses a discount coupon after spending a certain amount at a restaurant, the system will record the identity information of the restaurant or the category of dishes consumed.

[0079] Furthermore, the user identity is one or more data fields that uniquely identify the user, such as the user's mobile phone number, license plate number, or user ID assigned by the system. The user portrait is a comprehensive information set based on the user's behavior and preferences, including the user's payment habits, common coupon types, and frequently visited shopping malls or stores. After combining the discount coupon source information with the user identity, the system will update the user portrait.

[0080] For example, if a user uses a points discount coupon when paying for parking at a specific mall, the system will combine the source information of the mall with the user's identity to update the user profile. This means that the system "knows" that the user often shops at the mall and uses his points discount coupons.

[0081] Here, once the user profile is updated, the system will store the new profile information in the user behavior knowledge base. This process ensures that the user's latest behavior is recorded, so that the system can make more accurate recommendations based on the latest data in the future. For example, the next time a user enters a parking lot, the system may recommend coupons for the mall or store associated with the user profile.

[0082] S103. Every time a vehicle enters the parking lot, the preset user behavior knowledge base is accessed to traverse the user portrait information, the discount coupon source information matching the current parking lot is screened, and the discount coupon source information is recommended to the user.

[0083] In a specific implementation, when a vehicle enters a parking lot, the parking lot's entry detection equipment detects the vehicle's arrival through a ground sensor coil, a vehicle-mounted camera or other sensors, and records the vehicle's entry information. The on-board intelligent body obtains the location information of the parking lot where the vehicle is currently entering, which may include the name, location or identifier of the parking lot, etc., and matches the current parking lot's location information with the discount coupon source information stored in the user portrait.

[0084] Here, the in-vehicle intelligent experience will generate recommendation information based on the screening results and push the matching discount coupon source information to the user. Recommendations can be implemented in a variety of ways, such as: In-vehicle display: Display recommended discount coupon information on the in-vehicle display, and users can select through the touch screen or buttons. Mobile application: Push notifications through the connected mobile application, and users can view recommended discount coupons on their mobile phones. Voice prompts: Prompt users that there are relevant discount coupon recommendations through the in-vehicle voice system.

[0085] As a possible implementation method, the preset user behavior knowledge base is accessed to traverse the user portrait information, the discount coupon source information matching the current parking lot is screened, and the discount coupon source information is recommended to the user. For the specific implementation process, please refer to Figure 2 FIG. 1 is a flowchart of another method for paying for parking a vehicle provided by an embodiment of the present disclosure. The method is applied to an on-board intelligent body and includes steps S1031 to S1034, wherein:

[0086] S1031. Determine the parking lot location information of the vehicle currently entering.

[0087] S1032. Determine shopping mall information, store information, and commodity type information corresponding to the store information within a preset range according to the parking lot location information.

[0088] S1033. Traverse the user portrait information in the preset user behavior knowledge base, and filter the target shopping mall information, target store information, and target product type information corresponding to the target store information that match the shopping mall identity information, the store identity information, and the product type information stored in the user portrait information.

[0089] S1034: Recommend the target shopping mall information, target store information, and target commodity type information corresponding to the target store information to the user.

[0090] In the specific implementation, when a vehicle enters a parking lot, the on-board intelligent body will retrieve relevant shopping mall and store information through database query or geographic information system within the preset range related to the current parking lot.

[0091] Here, the mall information includes the mall name, location, mall type, etc. around the parking lot; the store information includes the store name, store location, store type, etc. inside or around the mall; the product type information includes the types of products provided by the store, such as clothing, food, electronic products, etc.

[0092] The onboard intelligent agent traverses the data in the user behavior knowledge base, searches for records matching the mall, store, and product type information within the preset range of the current parking lot, identifies the malls that the user has preferred in the past (such as the malls that the user often goes to), identifies the stores that the user has preferred in the past (such as the stores that the user often visits), and identifies the product categories that the user prefers (such as the types of products that the user likes to buy). Then, the malls that match the mall preferences in the user's profile, the stores that match the store preferences in the user's profile, and the product types that match the product preferences in the user's profile are selected.

[0093] Specifically, each shopping mall identity information, store identity information, and product type information stored in a preset user behavior knowledge base is converted into corresponding first numerical vector information; each shopping mall information, store information, and product type information corresponding to the store information within a preset range of the current parking lot is converted into corresponding second numerical vector information; the vector similarity between each first numerical vector information and the corresponding second numerical vector information is determined, and target shopping mall information, target store information, and target product type information whose vector similarity is greater than a preset similarity threshold are screened.

[0094] Furthermore, based on the screening results, the in-vehicle intelligent agent generates personalized recommendation information. These recommendations include: Target shopping mall: recommend shopping malls that users may be interested in. Target store: recommend stores that users may be interested in. Target product type: recommend product categories that match user preferences. Users can view these recommendations and select shopping malls, stores or products of interest for consumption. The system can provide more preferential information or further personalized services based on the recommendations selected by the user.

[0095] In this way, every time a vehicle enters a parking lot, the data in the user behavior knowledge base is intelligently used to recommend relevant discount coupons for nearby users to obtain parking fee discounts. Through the combination of the on-board intelligent agent and the user behavior knowledge base, the parking payment process is intelligently managed, and the optimal payment method and discount coupon information are recommended, thereby improving the user's parking experience and payment efficiency.

[0096] A vehicle parking payment method provided by the disclosed embodiment is applied to an on-vehicle intelligent body, and in response to a vehicle payment request triggered when a vehicle exits, accesses a preset user behavior knowledge base to obtain the user's commonly used payment method, and wakes up the on-vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation; obtains the fee deduction coupon used by the user during the payment process, determines the deduction coupon source information corresponding to the fee deduction coupon, and combines the deduction coupon source information with the user identity identifier as user portrait information and stores it in the preset user behavior knowledge base; each time a vehicle enters the parking lot, accesses the preset user behavior knowledge base to traverse the user portrait information, filters the deduction coupon source information that matches the current parking lot, and recommends the deduction coupon source information to the user. The efficiency of parking payment and user experience can be improved by intelligently recommending commonly used payment methods, personalized fee deductions, and accurately matching parking lots and deduction coupons.

[0097] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0098] Based on the same inventive concept, a vehicle parking payment device corresponding to the vehicle parking payment method is also provided in the embodiment of the present disclosure. Since the principle of solving the problem by the device in the embodiment of the present disclosure is similar to the above-mentioned vehicle parking payment method in the embodiment of the present disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0099] See also Figure 3 , Figure 3 Schematic diagram of a vehicle parking fee payment device provided by an embodiment of the present disclosure. Figure 3 As shown in , the vehicle parking fee payment device 300 provided in the embodiment of the present disclosure is applied to a vehicle-mounted intelligent body, including:

[0100] The payment trigger module 310 is used to respond to the vehicle payment request triggered when the vehicle leaves the vehicle, access the preset user behavior knowledge base to obtain the user's commonly used payment method, and wake up the vehicle-mounted auxiliary device corresponding to the commonly used payment method to perform the payment operation.

[0101] The user portrait generation module 320 is used to obtain the fee deduction coupons used by the user during the payment process, determine the fee deduction coupon source information corresponding to the fee deduction coupon, and combine the fee deduction coupon source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base.

[0102] The information recommendation module 330 is used to access the preset user behavior knowledge base to traverse the user portrait information each time a vehicle enters the parking lot, filter the discount coupon source information that matches the current parking lot, and recommend the discount coupon source information to the user.

[0103] For descriptions of the processing flow of each module in the device and the interaction flow between each module, reference may be made to the relevant descriptions in the above method embodiment, which will not be described in detail here.

[0104] A vehicle parking payment device provided by the disclosed embodiment is applied to an on-vehicle intelligent body, and in response to a vehicle payment request triggered when a vehicle exits, accesses a preset user behavior knowledge base to obtain the user's commonly used payment method, and wakes up the on-vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation; obtains the fee deduction coupon used by the user during the payment process, determines the deduction coupon source information corresponding to the fee deduction coupon, and combines the deduction coupon source information with the user identity identifier as user portrait information and stores it in the preset user behavior knowledge base; each time a vehicle enters the parking lot, accesses the preset user behavior knowledge base to traverse the user portrait information, filters the deduction coupon source information that matches the current parking lot, and recommends the deduction coupon source information to the user. The efficiency of parking payment and user experience can be improved by intelligently recommending commonly used payment methods, personalized fee deductions, and accurately matching parking lots and deduction coupons.

[0105] Corresponds to Figure 1 The vehicle parking fee payment method in the present disclosure also provides an electronic device 400, such as Figure 4 FIG. 4 is a schematic diagram of the structure of an electronic device 400 provided in an embodiment of the present disclosure, including:

[0106] Processor 41, memory 42, and bus 43; memory 42 is used to store execution instructions, including memory 421 and external memory 422; memory 421 here is also called internal memory, which is used to temporarily store operation data in processor 41 and data exchanged with external memory 422 such as hard disk. Processor 41 exchanges data with external memory 422 through memory 421. When the electronic device 400 is running, the processor 41 communicates with the memory 42 through bus 43, so that the processor 41 executes Figure 1 Steps of the vehicle parking payment method.

[0107] The embodiment of the present disclosure also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the vehicle parking fee payment method described in the above method embodiment are executed. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0108] The present disclosure also provides a computer program product, which includes computer instructions. When the computer instructions are executed by a processor, the steps of the vehicle parking payment method described in the above method embodiment can be executed. For details, please refer to the above method embodiment, which will not be repeated here.

[0109] The computer program product may be implemented in hardware, software or a combination thereof. In one optional embodiment, the computer program product is implemented as a computer storage medium. In another optional embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0110] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present disclosure, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0113] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0114] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A vehicle parking fee payment method, characterized in that: Applied to a vehicle-mounted intelligent agent, the method comprises: In response to a vehicle payment request triggered when the vehicle leaves the vehicle, access a preset user behavior knowledge base to obtain the user's commonly used payment method, and wake up the vehicle auxiliary device corresponding to the commonly used payment method to perform the payment operation; Obtain the fee deduction voucher used by the user during the payment process, determine the deduction voucher source information corresponding to the fee deduction voucher, and combine the deduction voucher source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base; Each time a vehicle enters the parking lot, the preset user behavior knowledge base is accessed to traverse the user portrait information, the discount coupon source information matching the current parking lot is screened, and the discount coupon source information is recommended to the user.

2. The method according to claim 1, characterized in that The vehicle-mounted auxiliary device includes a vehicle-mounted camera, and waking up the vehicle-mounted auxiliary device corresponding to the common payment method to perform a payment operation specifically includes: Waking up the vehicle-mounted camera disposed in the cockpit and sending an image acquisition instruction to the vehicle-mounted camera; receiving a driving position image acquired by the vehicle-mounted camera in response to the image acquisition instruction, and preprocessing the driving position image; Identifying a facial region in the driving position image and determining a facial feature vector corresponding to the facial region; The person's identity information is identified based on the facial feature vector, and the person's identity information is carried out for identity authentication. If the authentication is passed, payment deduction is executed.

3. The method according to claim 1, characterized in that Obtain the fee deduction voucher used by the user during the payment process, and determine the deduction voucher source information corresponding to the fee deduction voucher, specifically including: Determine the deduction source type corresponding to the expense deduction voucher, and the deduction source type at least includes shopping mall points deduction and consumption full amount reduction deduction; For the expense deduction voucher of the shopping mall point deduction type, determining that the source information of the deduction voucher is the shopping mall identity identification information corresponding to the expense deduction voucher; For the expense discount coupon of the type of full-amount consumption exemption and deduction, the source information of the discount coupon is determined to be the type information of the commodity consumed corresponding to the expense discount coupon or the store identity identification information.

4. The method according to claim 3, characterized in that Accessing the preset user behavior knowledge base to traverse the user portrait information, screening the discount coupon source information that matches the current parking lot, and recommending the discount coupon source information to the user, specifically includes: Determine the parking lot location information of the vehicle currently entering; Determine, according to the parking lot location information, shopping mall information, store information within a preset range, and commodity type information corresponding to the store information; Traversing the user portrait information in the preset user behavior knowledge base, screening the target shopping mall information, target store information and target commodity type information corresponding to the target store information that match the shopping mall identity information, the store identity information and the commodity type information stored in the user portrait information; The target shopping mall information, target store information, and target commodity type information corresponding to the target store information are recommended to the user.

5. The method according to claim 4, characterized in that Traversing the user portrait information in the preset user behavior knowledge base, screening the target shopping mall information, target store information, and target commodity type information corresponding to the target store information that match the shopping mall identity information, the store identity information, and the commodity type information stored in the user portrait information, specifically including: Convert each piece of the shopping mall identity information, the store identity information, and the commodity type information stored in the preset user behavior knowledge base into corresponding first numerical vector information; Convert each piece of the shopping mall information, the store information, and the commodity type information corresponding to the store information within a preset range of the current parking lot into corresponding second numerical vector information; Determine the vector similarity between each of the first numerical vector information and the corresponding second numerical vector information, and screen the target shopping mall information, the target store information, and the target commodity type information whose vector similarity is greater than a preset similarity threshold.

6. A vehicle parking fee payment device, characterized in that: Applied to a vehicle-mounted intelligent body, the device comprises: A payment trigger module, for responding to a vehicle payment request triggered when a vehicle leaves the vehicle, accessing a preset user behavior knowledge base to obtain a user's commonly used payment method, and waking up the vehicle auxiliary device corresponding to the commonly used payment method to perform a payment operation; A user portrait generation module is used to obtain the fee deduction coupons used by the user during the payment process, determine the deduction coupon source information corresponding to the fee deduction coupon, and combine the deduction coupon source information with the user identity identifier as user portrait information and store it in the preset user behavior knowledge base; The information recommendation module is used to access the preset user behavior knowledge base to traverse the user portrait information each time a vehicle enters the parking lot, filter the discount coupon source information that matches the current parking lot, and recommend the discount coupon source information to the user.

7. The device according to claim 6, characterized in that The vehicle-mounted auxiliary equipment includes a vehicle-mounted camera, and the payment trigger module is specifically used for: Waking up the vehicle-mounted camera disposed in the cockpit and sending an image acquisition instruction to the vehicle-mounted camera; receiving a driving position image acquired by the vehicle-mounted camera in response to the image acquisition instruction, and preprocessing the driving position image; Identifying a facial region in the driving position image and determining a facial feature vector corresponding to the facial region; The person's identity information is identified according to the facial feature vector, and the person's identity information is carried out for identity authentication. If the authentication is passed, payment deduction is executed.

8. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the vehicle parking payment method as described in any one of claims 1 to 5 are performed.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the vehicle parking fee payment method as claimed in any one of claims 1 to 5.

10. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the vehicle parking fee payment method according to any one of claims 1 to 5 are implemented.

Images