A high-speed service area intelligent service system and method based on full voice interaction

Abstract

The application belongs to the technical field of intelligent transportation, and discloses a high-speed service area intelligent service system and method based on full-voice interaction + prepositioned service, which comprises a full-voice interaction engine, a navigation map seamless jump and double-channel pop-up window reminding module, an AI voice pre-ordering and pre-payment module, a prepositioned service dispatching hub, a parking space / charging pile intelligent dispatching module, an AI voice road rescue module, an AI intelligent question and answer module, a store-arrival-pick-up performance fulfillment module and a data coordination interface layer; the pop-up window module realizes double-channel reminding and one-key jump of the service area, the pre-ordering module supports in-route voice ordering and payment and prepares meals in advance, the dispatching hub realizes full-process coordinated dispatching by fusing multi-dimensional data, and a complete service closed loop is formed. The application realizes deep linkage between navigation and service area service, frees both hands through full-voice interaction, realizes "handling before arrival, resource pre-occupation and performance fulfillment landing" through prepositioned service, greatly shortens the user's stay time, and simultaneously improves the service area operation efficiency and the integrated management capability of the high-speed group based on prepositioned data.

Description

Technical Field

[0001] This invention belongs to the field of intelligent transportation technology, specifically relating to a smart service system and method for highway service areas based on full voice interaction and pre-positioned services. Background Technology

[0002] The existing highway service areas and road travel-related service systems mainly include: Parking management: Geomagnetic / video parking sensors collect parking space status data, and the remaining spaces are displayed on the LED screen at the entrance; Charging management: charging pile status monitoring, QR code activation, online payment; Food and beverage services: order by scanning QR code at the store, order by queuing at the store, or pick up your food when called by number; Road conditions and rescue: telephone calls, dispatching from the back office; Interaction methods: mainly touch screen, QR code scanning, manual input, and in-store operation.

[0003] Existing technological defects 1. Functional silos: Data on parking, charging, catering, rescue, and road conditions are not shared, and there is no unified dispatching; 2. Cumbersome and time-consuming operation: Restaurants require customers to queue at the store to order, pay, and wait for their food, which takes up time spent in the service area; 3. High reliance on manual operation: Operating the screen / scanning QR codes while driving poses safety hazards and is inconvenient for the elderly and novice drivers; 4. Passive service: There is no proactive or pre-service capability; all operations only begin after the user arrives at the service area, resulting in delayed service response. 5. Fragmented experience: After entering the service area, you need to switch between multiple mini-programs / apps, resulting in a fragmented process; 6. Inefficient resource scheduling: There is no coordinated optimization among parking spaces, charging piles, and catering services. Summary of the Invention

[0004] To overcome the above-mentioned technical problems, the present invention provides a smart service system and method for highway service areas based on full voice interaction and pre-positioned services.

[0005] The present invention adopts the following technical solution: A smart service system for highway service areas based on full voice interaction includes: a full voice interaction engine, a navigation map seamless jump and dual-channel pop-up reminder module, an AI voice pre-ordering and pre-payment module, a pre-positioned service dispatch center, a parking space intelligent navigation module, a charging pile intelligent dispatch module, an AI voice roadside assistance module, an AI intelligent question-and-answer module, an on-site pickup and fulfillment module, and a data collaboration interface layer; the navigation map seamless jump and dual-channel pop-up reminder module is used to trigger a navigation pop-up + system pop-up when the vehicle approaches a preset distance from the target service area. The system features dual-channel reminders and supports automatic pop-up service area entrances on the navigation interface, allowing one-click access to various service pages within the service area. The AI ​​voice pre-ordering and pre-payment module enables drivers to order and pre-pay via full voice interaction before entering the service area, and sends orders to the merchant's kitchen in real-time for advance food preparation. The pre-positioned service dispatch center integrates vehicle location, navigation data, estimated arrival time, and service area resource status to achieve coordinated scheduling throughout the entire process of ordering, parking, charging, and food pickup, forming a complete service loop of full voice interaction access, pre-positioned service coordination, precise navigation, and immediate fulfillment upon arrival.

[0006] Preferably, the full voice interaction engine supports in-vehicle / mobile terminal voice pickup, environmental noise reduction, wake-up word recognition, ASR speech-to-text, intent recognition and slot extraction, and also supports multi-intent parallel parsing, multi-turn dialogue, context inheritance and wake-up-free shortcut commands, and can respond to voice commands such as eating, parking, charging, one-click rescue, and checking road conditions. The AI ​​voice roadside assistance module can trigger one-click assistance via voice, automatically collect and report the vehicle's real-time location, license plate, vehicle type, fault type, and service area information, automatically dispatch the order to the highway assistance platform, and provide real-time voice broadcast of the assistance progress. After the assistance is completed, the assistance record is automatically archived. The AI-powered intelligent question-and-answer module has a built-in knowledge base dedicated to high-speed scenarios, supports natural language conversational question-and-answer, and can answer questions about high-speed traffic rules, ETC usage, service area facilities, emergency handling, etc. It can also link with service modules to perform corresponding operations.

[0007] Preferably, the navigation map seamless jump and dual-channel pop-up reminder module is deeply integrated with mainstream in-vehicle navigation and mobile phone maps. Service entry jump can be achieved without exiting the navigation interface during vehicle navigation. The pop-up content includes service area name, estimated arrival time, available parking spaces, available charging piles, pre-ordering entrance and one-click navigation direct entrance. The service area warning distance can be customized.

[0008] Preferably, the AI ​​voice pre-ordering and pre-payment module can accurately push available catering merchants in the corresponding service area based on the vehicle navigation route and destination service area. It supports drivers to select dishes, confirm the quantity, and make taste notes by voice. It can also automatically link the driver's payment account, complete the voice confirmation of pre-payment, generate a pick-up number after payment, and announce the estimated pick-up time by voice.

[0009] Preferably, the intelligent parking space navigation module integrates geomagnetic, video charging pile, license plate recognition and ETC data to obtain real-time information on available parking spaces in the service area. It can distinguish between small cars / large vehicles / new energy vehicles and intelligently allocate the optimal parking space. At the same time, it generates the optimal navigation route in the parking lot and guides vehicles directly to the target parking space via voice. The intelligent charging pile scheduling module collects real-time information on the idle / occupancy / fault status, power and queuing time of charging piles of various brands. It supports voice reservation of charging piles, dynamically allocates the optimal charging pile space using a low-battery vehicle priority scheduling strategy, and can provide real-time voice broadcast of charging progress.

[0010] Preferably, the in-store pickup fulfillment module supports three fast pickup methods: voice verification, license plate verification, and mobile phone number verification. Drivers can pick up their meals immediately upon arrival at the service area without queuing to order, paying on-site, or waiting. The data collaboration interface layer establishes a unified data protocol to connect with navigation map systems, smart parking systems, charging pile systems of various brands, restaurant kitchen systems, and highway group rescue and road condition systems, achieving real-time data synchronization across systems.

[0011] This invention also discloses a method for implementing intelligent services in high-speed service areas based on full voice interaction, applied to the aforementioned system, comprising the following steps: S1. When the vehicle is driving and navigation planning is in progress, the system detects that the vehicle is approaching the target service area at a preset distance, triggering a dual-channel reminder of the navigation pop-up and the system pop-up. The pop-up displays the service area entrance and supports one-click jump; the entire process of triggering the pre-service is officially started. S2. Before entering a service area, the driver initiates a food ordering request to the system through full voice interaction. The system pushes available catering merchants in the corresponding service area based on the vehicle navigation route and the destination service area. S3. The driver selects dishes, notes flavors, and confirms the quantity via voice. The system links the driver's payment account and completes the pre-payment via voice confirmation. After successful payment, the order is sent to the merchant's kitchen in real time, and the merchant immediately starts the pre-preparation process. At the same time, the order data is synchronized to the pre-service dispatch center. S4. The system seamlessly jumps to the navigation map to plan the optimal route within the service area, simultaneously completes the intelligent allocation and pre-locking of parking spaces / charging piles, and guides the vehicle to the target parking space / charging pile in the service area through voice. S5. After arriving at the service area, the driver can quickly pick up the food at the merchant's pick-up area through voice / license plate / mobile phone number verification, achieving a completely queue-free and on-site operation-free process.

[0012] Preferably, in step S4, the system integrates geomagnetic data, video charging pile data, license plate recognition, and ETC data to obtain available parking spaces in the service area. Based on the vehicle's estimated arrival time and the location of the merchant, the system pre-allocates the vehicle to the optimal parking space closest to the restaurant / charging pile. At the same time, the system collects the real-time status of charging piles in the service area, prioritizes the allocation of available fast charging piles to new energy vehicles, and vehicles with low battery levels can trigger a priority scheduling mechanism for charging piles; thus achieving pre-locking and priority guarantee of charging pile resources. After S4, car owners can trigger one-click rescue or intelligent Q&A in highway scenarios through full voice interaction. When rescue is triggered, the system automatically collects vehicle information and dispatches a rescue order. When Q&A is triggered, the system directly provides voice feedback and can link with navigation to execute corresponding operations.

[0013] Preferably, the method further includes a charging pile usage and progress reminder step: after the vehicle is parked, it connects to the pre-reserved charging pile, the system synchronizes the charging progress in real time and makes a voice broadcast, when the vehicle's battery level reaches a preset threshold, the system reminds the driver to unplug the charging gun and move the vehicle in time, and after the charging pile is used, the system updates the charging pile status to idle.

[0014] Preferably, the method further includes data synchronization and operational analysis steps: Throughout the entire service process, the system collects real-time data on drivers' ordering, payment, parking, charging, and meal pickup, as well as data on parking space utilization, charging pile turnover, and merchant order volume in service areas, and synchronizes all data to the highway group's management backend; the highway group's management backend visualizes the data, performs multi-dimensional analysis, and automatically generates reports, while also providing early warnings of parking space congestion and charging pile shortages, and intelligent resource scheduling. The collected full-process service data includes rescue work order data and intelligent Q&A interaction data, providing data support for the continuous optimization of pre-service strategies and the iteration of scheduling algorithms.

[0015] Compared with the prior art, the beneficial effects of the present invention are: Compared with the prior art, the beneficial effects of the present invention are: The navigation service is deeply integrated and seamlessly connected with mainstream navigation maps. It automatically pops up windows and provides one-click access to the service entry point without the need to switch applications, greatly improving the ease of operation. Dual-channel intelligent reminders trigger both in-navigation and system pop-up reminders when the vehicle approaches a service area, accurately guiding users to the service entrance and preventing them from missing upcoming services; To achieve seamless pre-service, users can complete voice ordering and pre-payment before entering the service area, and operate the entire process on the way, greatly reducing the time spent in the service area; Full voice interaction frees up your hands, eliminating the need for manual operation throughout the process, thus eliminating the safety hazards of operating while driving, and is suitable for various user groups; By building a closed loop of one-stop front-end services for multiple scenarios, multiple services such as ordering food, parking, and charging can be completed simultaneously with a single voice wake-up or pop-up window, thus solving the problem of fragmented experience. Improve the operational efficiency of service areas, reduce queuing congestion in stores, increase the turnover rate of merchants, parking spaces and charging piles, and optimize resource allocation; Provide integrated management capabilities for the expressway group, enabling data visualization, intelligent scheduling, and multi-dimensional analysis, upgrading from decentralized management to unified management; It boasts strong compatibility and scalability, can be standardized and integrated with various existing systems, requires no large-scale modification of existing equipment, and can be quickly deployed and replicated in various highway service areas. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0017] The embodiments of the present invention are described in detail below. Unless otherwise specified, the methods in the embodiments are conventional methods in the art. The following embodiments are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0018] A Smart Service System and Method for Highway Service Areas Based on Full Voice Interaction I. Technical Solution This embodiment addresses the core issues of fragmented services, cumbersome operations, and inefficient resource allocation in traditional highway service areas by integrating three main functions: seamless navigation map switching, automatic pop-up reminders, and advance ordering and payment. It also incorporates full voice interaction, proactive service scheduling, and multi-system data collaboration. This enables drivers to enjoy a smart service experience where they can "handle tasks without lifting a finger, complete their business on the way, and pick up their orders directly upon arrival." Simultaneously, it provides highway groups with integrated operation and management capabilities.

[0019] (I) Overall System Architecture The system adopts a six-layer architecture design, with each layer working collaboratively to achieve end-to-end front-end intelligent services. The layer composition and core functions are as follows: Perception layer: Real-time data on parking spaces, charging piles, and vehicle locations are collected through geomagnetic sensors, video charging piles, license plate recognition, ETC devices, charging pile sensors, and vehicle positioning modules. Edge computing layer: responsible for local data processing and low-latency response, ensuring the real-time performance of voice interaction, pop-up push, and order placement; Cloud-based AI hub: The core computing power layer, enabling AI capabilities such as intent recognition, demand prediction, pre-scheduled resource scheduling, resource scheduling, user profiling, and meal preparation time optimization; Application service layer: Includes self-developed core services such as full voice interaction, pre-ordering and pre-payment, parking space / charging pile navigation, road condition assistance, and group management backend; Navigation map integration layer: Deeply integrated with mainstream in-vehicle navigation and mobile maps, enabling seamless jumps to service entry points and dual-channel automatic pop-up reminders; Vehicle / Mobile / Terminal Equipment Layer: Vehicle Owner End (Vehicle Controller, Mini Program / APP), Merchant End (Kitchen System, Food Pickup Terminal), Expressway Group Management End (Data Dashboard, Front-end Dispatch Backend), Operation Management End.

[0020] (II) Core Functional Modules and Working Principles The system includes the following core functional modules, among which seamless navigation map transitions, automatic pop-up reminders when approaching service areas, and the highway group management backend are key self-developed modules. Each module operates independently but shares data, forming a complete service loop: Full voice interaction engine After the vehicle / mobile device picks up the voice, it sequentially completes environmental noise reduction, wake-up word recognition, ASR speech-to-text conversion, intent recognition, and slot extraction. It supports natural commands such as "I want to eat / charge / park," and has the ability to perform multi-turn dialogues, context inheritance, and wake-up-free shortcut commands, freeing the driver's hands throughout the process. It also supports parallel parsing of multiple intents (such as recognizing charging and ordering commands simultaneously), providing a unique, contactless interaction entry point for all front-end services.

[0021] Seamless navigation map jump module It is deeply integrated with in-car navigation and mobile phone maps, so there is no need to exit the navigation interface during navigation. The service entrance in front of the service area will automatically pop up and jump to the food ordering, parking and charging service pages with one click. Parking spaces, charging piles and merchant locations can all be accessed with one click.

[0022] Automatic pop-up reminder module for approaching service area When the vehicle enters the target service area at a preset distance (configurable, such as 3 / 5 / 10km), a dual-channel reminder is triggered, which includes both a pop-up window in the navigation system and a pop-up window in the system. The pop-up window includes the service area name, estimated arrival time, available parking spaces, available charging stations, recommended restaurants, and a one-click ordering / navigation entry point. This does not affect the main navigation process and enables accurate access to pre-services, allowing sufficient time for pre-operations.

[0023] AI voice pre-ordering and pre-payment module Before entering a service area, drivers can initiate a food order via voice. The system accurately recommends available restaurants based on the vehicle's navigation route and the destination service area. After the driver completes the selection of dishes, flavor notes, and quantity confirmation via voice, the system automatically links to the linked payment account, and pre-payment can be completed with voice confirmation. The order is sent to the merchant's kitchen system in real time, immediately starting the advance food preparation and generating a pickup number, while also informing the estimated pickup time via voice.

[0024] In-store pickup and fulfillment module Merchants prepare and package orders in advance and place them in a designated pick-up area. When drivers arrive at the service area, they can quickly complete the pick-up and verification process without queuing by using voice verification, license plate verification, or mobile phone number verification. This allows for a completely hassle-free experience, eliminating the need for on-site payment and waiting for meals. It serves as the terminal fulfillment module for pre-service delivery.

[0025] Intelligent parking space navigation module By integrating data from geomagnetic sensors, video surveillance, license plate recognition, and ETC (Electronic Toll Collection), the system can obtain real-time information on available parking spaces in service areas (differentiating between cars, large vehicles, and new energy vehicles). It can then pre-allocate parking spaces before vehicles arrive, generate the optimal navigation route within the service area, and guide vehicles directly to their target parking spaces via voice commands, thereby improving the efficiency of entering service areas.

[0026] Intelligent navigation and reservation module for charging piles The system collects real-time information on the status of charging piles from various brands (idle / occupied / faulty, power, queue time), supports voice reservation of charging piles, and dynamically completes the pre-allocation and locking of charging piles by adopting a low-battery vehicle priority scheduling strategy. During the charging process, the system broadcasts the progress in real-time via voice, reminding car owners to move their vehicles in time, thereby improving the turnover rate of charging piles.

[0027] AI voice-activated roadside assistance and real-time traffic module When a car owner triggers "one-click rescue" with their voice, the system automatically reports the vehicle's real-time location, license plate, vehicle model, fault description, and service area information. The work order is then pushed to the highway group's rescue platform in real time, enabling pre-dispatch of rescue services. At the same time, it links with highway network data to provide car owners with real-time traffic conditions, congestion warnings, and detour suggestions via voice, thus proactively pushing traffic information.

[0028] AI-powered intelligent question-answering module Build a dedicated knowledge base for highway scenarios: traffic rules, ETC, traffic restrictions, service area facilities, emergency handling, fuel prices, catering, etc. Support natural language question answering, automatically understands conversational questions and provides standard answers. Can be linked with service modules to perform corresponding pre-operations in advance, such as directly redirecting to service point navigation if "ETC is out of power".

[0029] Pre-positioned service scheduling hub The core pre-service management module of the system integrates vehicle positioning, navigation data, estimated arrival time, vehicle battery level, and the owner's historical consumption preferences to predict demand and proactively push services such as "approaching service area → pop-up reminder → parking space / charging station / pre-orderable food". It coordinates the scheduling of the entire pre-service process and forms a complete service loop of pop-up reminder - voice ordering - pre-payment - advance food preparation - direct navigation - pick up upon arrival.

[0030] Prepayment and Order Management Module It supports vehicle owner payment account binding, voice confirmation of prepayment, real-time display of order status (paid / preparing / completed / cancelled), and provides order inquiry, cancellation, and refund functions. It automatically generates and voice-announces the pick-up number / pick-up voucher, and the order data is synchronized to the merchant's end and the group's management backend in real time, providing order data support for pre-preparation and pre-fulfillment of orders.

[0031] Data Collaboration and Interface Standardization Module Establish a unified data protocol to connect with navigation map systems, smart parking systems, charging pile systems of various brands, kitchen systems of catering merchants, and highway group rescue / road condition systems, so as to achieve real-time data synchronization across systems and provide full-dimensional, high-real-time cross-system data support for the forward-deployed service dispatch center.

[0032] Expressway Group Management Backend Module Provides expressway groups with a full-dimensional data visualization dashboard, displaying real-time data such as service area traffic, parking space utilization, charging pile utilization, catering order volume, rescue work order volume, pop-up touch volume, and pre-order conversion rate; supports unified operation management (service area / merchant / equipment monitoring), intelligent dispatch and command (parking space / charging pile / rescue resource early warning dispatch), multi-dimensional data analysis (peak hours / user behavior / regional comparison), and automatic generation of daily / weekly / monthly reports, realizing the transformation from "decentralized management" to "unified management".

[0033] Backend Management Module Responsible for basic operations management, including user management, merchant management, order management, third-party integration status monitoring, data statistics, log management, pop-up policies (warning distance / pop-up content), navigation service management, and other functions, supporting custom configuration and control of front-end service related policies.

[0034] (III) System Data Structure Design The system design includes 11 core data tables, covering all dimensions of data such as users, merchants, orders, equipment, road conditions, rescue, navigation, and group statistics, ensuring the standardization of data storage and interaction. New additions include a service area location and pop-up configuration table, and a navigation jump log table to adapt to core front-end service functions. The core data tables are as follows: User information table (user ID, mobile phone number, license plate number, vehicle model, consumption preferences, creation time); Merchant Information Form (Merchant ID, Service Area ID, Name, Dishes, Prices, Business Status); Order Information Table (Order ID, User ID, Merchant ID, Dish, Amount, Payment Status, Pickup Number, Order Status, Pre-preparation Start Time); Parking space synchronization table (parking space ID, service area, region, status, pre-locked user ID, update time); Charging pile synchronization table (pile ID, location, power, status, queuing number, update time); Road condition synchronization table (road section, driving direction, congestion level, event type, update time); Rescue work order table (work order ID, user ID, vehicle location, license plate, fault description, rescue progress, pre - dispatch time); Service area location and pop - up window configuration table (service area ID, name, coordinates, warning distance, pop - up window switch, update time); Navigation jump log table (log ID, user ID, service area ID, jump time, jump type, status); Group statistical analysis table (service area ID, traffic flow, parking space utilization rate, charging pile utilization rate, order volume, rescue times, pre - order quantity / conversion rate, statistical time); System log table (operation log, interface call log, exception log).

[0035] (4) System security HTTPS encryption transmission is adopted throughout the process. Signatures and permission verifications are added to the interfaces. Payment data, location information, and pop - up window data are desensitized. Data transmitted to third - parties is encrypted. The management background of the highway group implements strict permission isolation. All operation logs are traceable throughout the process, ensuring the security of user information and platform data, and ensuring the security of data transmission and storage in the whole process of pre - service.

[0036] II. Specific implementation cases This case takes the scenario of a car owner driving a new - energy vehicle through the Beijing - Hong Kong - Macau Expressway and planning to dine and charge at XX Service Area as an application scenario, fully demonstrating the whole - process service implementation process of the system's full - voice interaction + pre - service. It involves collaborative operations among the car - owner side, merchant side, and highway group management side. All steps are completed based on the core functional modules of the system.

[0037] (1) Prerequisites for the case The car owner has bound the system platform account on the car machine, completed the binding of mobile phone number, license plate (Beijing AXXXX), and payment account. The car - machine navigation is the in - vehicle navigation cooperated with the system, and the location permission has been enabled; XX Service Area has completed the deployment of this system, connected to the intelligent parking lot system and a certain brand of charging pile system, and 3 fast - food merchants A, B, and C have settled in. The pop - up warning distance is configured to be 5 km; (Reserved operation time for pre - service); The highway group management background has enabled data monitoring for XX Service Area. The real - time status of charging piles is: 6 out of 10 fast - charging piles are idle and 4 are occupied. The real - time status of parking spaces is: 20 new - energy parking spaces are vacant, and 15 parking spaces near the fast - food area are vacant. All resource statuses are synchronized to the pre - service scheduling center in real - time.

[0038] (II) Steps for Implementing the Full-Process Service Step 1: As the vehicle approaches the service area, a dual-channel pop-up notification is triggered, activating the pre-service. The driver was traveling along the Beijing-Hong Kong-Macau Expressway. The in-car navigation system was operating normally. When the vehicle was 5km away from the XX service area, the system detected warning conditions using vehicle location and navigation data and immediately triggered the warning. Navigation pop-up: The car navigation interface pops up a service card for XX service area, showing "5km away from XX service area, estimated arrival time is 10 minutes; 20 parking spaces available for new energy vehicles, 6 fast charging stations available; recommended merchants: A, B, C", with three function buttons: one-click ordering, one-click charging, and one-click navigation. System pop-up: A service area reminder pops up simultaneously on the vehicle system desktop, with content consistent with the navigation pop-up, ensuring that the driver does not miss anything and officially starting the entire process of triggering the pre-service.

[0039] Step 2: The car owner initiates a food ordering and charging request via voice. The system interprets the intent and responds to the pre-service request. The car owner activated the system via voice commands, saying, "I want to eat at restaurant A in service area XX and also charge my phone with fast charging. Please recommend a parking spot close to the restaurant." The system's full voice interaction engine immediately completed the task. Environmental noise reduction and far-field voice pickup convert voice commands into text; Intent recognition and slot extraction determine the core needs of car owners: new energy vehicle parking spaces near XX service area, KFC, fast charging, fast food area, accurately analyzing the car owner's pre-service needs.

[0040] Step 3: The system pushes the merchant's menu, and the driver completes the pre-order by voice, thus initiating the pre-ordering process. Based on the driver's needs, the system's cloud-based AI hub retrieves real-time information on merchants and menu items in Service Area A (XX Service Area). It then announces to the driver via voice: "We recommend Service Area A (XX Service Area). Available dishes include: Spicy Chicken Burger Set Meal (39 yuan), Old Beijing Chicken Roll Set Meal (36 yuan), and Original Recipe Chicken Set Meal (42 yuan). Would you like to order?" The driver replies: "I'd like a Spicy Chicken Burger Set Meal, but no iced cola, and hot milk instead." The system confirms via voice: "We have selected the Spicy Chicken Burger Set Meal for you, and changed the drink to hot milk. The total price is 39 yuan. Do you confirm?" The driver replies "Confirm," completing the pre-order selection and notes.

[0041] Step 4: Confirm pre-payment via voice, order sent to merchant's kitchen for food preparation, initiating the pre-preparation process. The system automatically links to the car owner's bound payment account and prompts with a voice message: "Your prepayment is about to be completed, amount 39 yuan. Do you confirm payment?" The car owner replies "confirm," the system completes the deduction and generates a pickup number K128, and announces with a voice message: "Prepayment successful, pickup number K128, estimated pickup time 15 minutes, order has been sent to KFC kitchen and is being prepared." At the same time, the merchant's kitchen system receives the order in real time, prints out the order slip, and kitchen staff immediately start the food preparation process. The food preparation status is synchronized to the platform in real time, realizing pre-preparation of catering services.

[0042] Step 5: The system reserves charging stations, plans the optimal parking space and navigation route, and completes the pre-allocation and locking of resources. Charging station reservation: The system retrieves real-time data of charging stations in the XX service area and assigns the car owner to fast charging station No. 3 (available, 120kW) near the fast food area. The system completes the pre-reservation and locking of the charging station and informs the car owner: "We have reserved fast charging station No. 3 in the fast food area of ​​XX service area for you. The station is available. Please check the vehicle status before charging." Parking space planning: The system integrates real-time parking space data to allocate parking space No. 5, a new energy vehicle parking space next to the KFC store, to car owners. This parking space is also close to fast charging station No. 3; thus completing the pre-allocation and locking of parking spaces. Navigation route planning: The system seamlessly jumps through the navigation map and generates the optimal route from the service area entrance to the No. 5 new energy vehicle parking space in the vehicle navigation system. The voice prompt says: "A navigation route has been planned for you in the XX service area, which goes directly to the No. 5 new energy vehicle parking space next to A. The whole process is guided by voice. Please follow the navigation."

[0043] Step 6: The vehicle enters the service area, and the voice guidance leads directly to the target parking space, executing the front navigation guidance. The driver enters the XX service area, and the car's navigation system provides full voice guidance throughout the journey. "Turn left in 50 meters ahead to reach parking space number 5 for new energy vehicles." The driver follows the navigation to park the vehicle in the target parking space without any time spent searching for a space. After parking, the system provides a voice reminder: "You have arrived at the target parking space. Fast charging pile number 3 is located on the right side of the parking space, and you can start charging. Food pickup number A is K128, and it is estimated that the food will be prepared in 5 minutes. The pickup area is located on the east side of the store." This achieves accurate navigation and connection of pre-positioned resources.

[0044] Step 7: The car owner charges the car, verifies their identity at the store, and picks up their meal—all without queuing, completing the front-end service terminal fulfillment process. The car owner connects to the No. 3 fast charging station. The charging station system is synchronized with the platform in real time, and the charging progress is announced by voice: "Charging has started. The current battery level is 20%. It is estimated that it will reach 80% in 30 minutes. The remaining battery level will be announced to you in real time." The car owner walks to store A, says "Pickup number K128" via voice verification at the food pickup area, and after successful verification on the merchant's end, the staff directly delivers the packaged meal (pre-prepared) to the car owner. The entire process requires no queuing, no on-site payment, and no waiting, completing the terminal fulfillment of pre-service and freeing up pre-service resources and optimizing pre-service strategies. Step 8: Charging complete notification; vehicle owner leaves service area; data synchronized with group backend. When the vehicle's battery reaches 80%, the system will give a voice prompt: "The vehicle has reached 80% charge. Please unplug the charging gun and move the vehicle in time to avoid occupying the charging station." After the owner unplugs the charging gun, the charging station system will update the status to "idle" and release the pre-locked charging station resources. The platform will then complete the charging order verification. When a vehicle owner drives away from the XX service area, the system automatically records the entire process data of this service (food order, charging order, parking space usage, navigation jump, pop-up window, pre-preparation time / pre-resource lock time); All data is synchronized to the highway group's management backend in real time. The data dashboard of XX service area is updated: catering orders +1, charging pile utilization rate increased by 5%, new energy vehicle parking space usage time increased by 18 minutes, and pre-order conversion rate +1. This provides data support for the continuous optimization of the group's pre-service strategy and for the group's operational analysis.

[0045] (III) Case Service Effectiveness In this service, the entire process from triggering the pop-up window to picking up food and charging took only 18 minutes, compared to over an hour in traditional service areas where it involves queuing to order food, queuing to pay, waiting for food, finding a parking space, and finding a charging station. This represents a reduction of over 70% in dwell time. All operations were completed entirely through voice interaction, eliminating the need to touch the screen while driving and improving driving safety. The service area's forward-deployed service scheduling enables coordinated scheduling of parking spaces, charging stations, and catering resources, increasing charging station turnover and merchant table turnover rates. The highway group also achieves real-time monitoring of service data, achieving a triple effect of "improved driver experience, enhanced service area operation efficiency, and improved group management quality," fully demonstrating the core value of this invention: full voice interaction + forward-deployed service.

[0046] Although embodiments of the present invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to the above embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A smart service system for highway service areas based on full voice interaction, characterized in that, include: The system includes a full voice interaction engine, a seamless navigation map jump and dual-channel pop-up reminder module, an AI voice pre-ordering and pre-payment module, a pre-positioned service dispatch center, a parking space intelligent navigation module, a charging pile intelligent dispatch module, an AI voice roadside assistance module, an AI intelligent question-and-answer module, an in-store pickup fulfillment module, and a data collaboration interface layer. The seamless navigation map jump and dual-channel pop-up reminder module triggers a dual-channel reminder (navigation pop-up + system pop-up) when the vehicle approaches a preset distance from the target service area, and supports automatic pop-up service area entry on the navigation interface and one-click jump to various service pages within the service area. The AI ​​voice pre-ordering and pre-payment module allows drivers to complete ordering and pre-payment via full voice interaction before entering the service area, and the order is sent to the merchant's kitchen in real time for advance food preparation. The pre-positioned service dispatch center integrates vehicle positioning, navigation data, estimated arrival time, and service area resource status to achieve full-process collaborative dispatching of ordering, parking, charging, and pickup, forming a system of full voice interaction access, pre-positioned service coordination, and precise navigation. A complete service loop for immediate fulfillment upon arrival at the store.

2. The system according to claim 1, characterized in that, The full voice interaction engine supports in-vehicle / mobile voice pickup, environmental noise reduction, wake word recognition, ASR speech-to-text, intent recognition and slot extraction. It also supports parallel parsing of multiple intents, multi-turn dialogue, context inheritance and wake-up-free shortcut commands. It can respond to voice commands such as eating, parking, charging, one-click rescue, and checking road conditions. The AI ​​voice roadside assistance module can trigger one-click assistance via voice, automatically collect and report the vehicle's real-time location, license plate, vehicle type, fault type, and service area information, automatically dispatch the order to the highway assistance platform, and provide real-time voice broadcast of the assistance progress. After the assistance is completed, the assistance record is automatically archived. The AI-powered intelligent question-and-answer module has a built-in knowledge base dedicated to high-speed scenarios, supports natural language conversational question-and-answer, and can answer questions about high-speed traffic rules, ETC usage, service area facilities, emergency handling, etc. It can also link with service modules to perform corresponding operations.

3. The system according to claim 1, characterized in that, The navigation map seamless jump and dual-channel pop-up reminder module is deeply integrated with mainstream in-vehicle navigation and mobile phone maps. Service entry jumps can be achieved without exiting the navigation interface during vehicle navigation. The pop-up content includes service area name, estimated arrival time, available parking spaces, available charging piles, pre-ordering entrance and one-click navigation entrance. Service area warning distance can be customized.

4. The system according to claim 1, characterized in that, The AI ​​voice pre-ordering and pre-payment module can accurately push available catering merchants in the corresponding service area based on the vehicle navigation route and destination service area. It supports drivers to select dishes, confirm the quantity, and make taste notes by voice. It can also automatically link the driver's payment account, complete the voice confirmation of pre-payment, generate a pick-up number after payment, and announce the estimated pick-up time by voice.

5. The system according to claim 1, characterized in that, The intelligent parking navigation module integrates geomagnetic, video charging pile, license plate recognition, and ETC data to obtain real-time information on available parking spaces in the service area. It can distinguish between small cars, large vehicles, and new energy vehicles and intelligently allocate the optimal parking space. At the same time, it generates the optimal navigation route within the site and guides vehicles directly to the target parking space via voice. The intelligent charging pile scheduling module collects real-time information on the idle / occupancy / fault status, power, and queue time of charging piles of various brands. It supports voice reservation of charging piles, dynamically allocates the optimal charging pile space using a low-battery vehicle priority scheduling strategy, and can provide real-time voice broadcast of charging progress.

6. The system according to claim 1, characterized in that, The in-store pickup fulfillment module supports three fast pickup methods: voice verification, license plate verification, and mobile phone number verification. Drivers can pick up their meals immediately upon arrival at the service area without queuing to order, paying on-site, or waiting. The data collaboration interface layer establishes a unified data protocol to connect with navigation map systems, smart parking systems, charging pile systems of various brands, restaurant kitchen systems, and highway group rescue and road condition systems, achieving real-time data synchronization across systems.

7. A method for implementing intelligent services in high-speed service areas based on full voice interaction, applied to the system described in any one of claims 1-6, characterized in that, Includes the following steps: S1. When the vehicle is driving and navigation planning is in progress, the system detects that the vehicle is approaching the target service area at a preset distance, triggering a dual-channel reminder of the navigation pop-up and the system pop-up. The pop-up displays the service area entrance and supports one-click jump. The entire process of triggering front-end services has been officially launched. S2. Before entering a service area, the driver initiates a food ordering request to the system through full voice interaction. The system pushes available catering merchants in the corresponding service area based on the vehicle navigation route and the destination service area. S3. The driver selects dishes, notes flavors, and confirms the quantity via voice. The system links the driver's payment account and completes the pre-payment via voice confirmation. After successful payment, the order is sent to the merchant's kitchen in real time, and the merchant immediately starts the pre-preparation process. At the same time, the order data is synchronized to the pre-service dispatch center. S4. The system seamlessly jumps to the navigation map to plan the optimal route within the service area, simultaneously completes the intelligent allocation and pre-locking of parking spaces / charging piles, and guides the vehicle to the target parking space / charging pile in the service area through voice. S5. After arriving at the service area, the driver can quickly pick up the food at the merchant's pick-up area through voice / license plate / mobile phone number verification, achieving a completely queue-free and on-site operation-free process.

8. The method according to claim 7, characterized in that, In step S4, the system integrates geomagnetic data, video charging piles, license plate recognition, and ETC data to obtain available parking spaces in the service area. Based on the vehicle's estimated arrival time and the location of the merchant, the system pre-allocates the vehicle to the optimal parking space closest to the catering merchant / charging pile. At the same time, the system collects the real-time status of charging piles in the service area, prioritizes the allocation of available fast charging piles to new energy vehicles, and vehicles with low battery can trigger the charging pile priority scheduling mechanism. To achieve pre-locking and priority guarantee of charging pile resources; After S4, car owners can trigger one-click rescue or intelligent Q&A in highway scenarios through full voice interaction. When rescue is triggered, the system automatically collects vehicle information and dispatches a rescue order. When Q&A is triggered, the system directly provides voice feedback and can link with navigation to execute corresponding operations.

9. The method according to claim 7, characterized in that, The method also includes charging pile usage and progress reminder steps: after the vehicle is parked, it connects to the pre-reserved charging pile, the system synchronizes the charging progress in real time and makes a voice broadcast, when the vehicle's battery level reaches the preset threshold, the system reminds the driver to unplug the charging gun and move the vehicle in time, and after the charging pile is used, the system updates the charging pile status to idle.

10. The method according to claim 7, characterized in that, The method also includes data synchronization and operational analysis steps: Throughout the entire service process, the system collects real-time data on drivers' ordering, payment, parking, charging, and food pickup, as well as data on parking space utilization, charging pile turnover, and merchant order volume in service areas, and synchronizes all data to the highway group's management backend; the highway group's management backend visualizes the data, performs multi-dimensional analysis, and automatically generates reports, while also providing early warnings of parking space congestion and charging pile shortages, and intelligent resource scheduling. The collected full-process service data includes rescue work order data and intelligent Q&A interaction data, providing data support for the continuous optimization of pre-service strategies and the iteration of scheduling algorithms.

Images