Traffic management method and system for parking lot of automobile sales market

Abstract

The invention discloses a traffic management method and system for a parking lot of an automobile sales market, and relates to the technical field of traffic management methods, and the method comprises the steps: determining a departure process table of an intentional vehicle based on the departure time of a user, the carrying time of an AGV carrying robot, and a function item of the intentional vehicle before delivery; according to the invention, departure control is carried out on each intentional vehicle, and the intelligent delivery effect of each intentional vehicle in the parking lot is improved. If the plurality of intentional vehicles are delivered at the same delivery time, determining a traffic management system of the parking lot according to the plurality of departure process tables and the spatial position of each user, the opening of the temporary exit is triggered according to the congestion condition of each exit position, the congestion area in the parking lot and each intentional vehicle to leave, so that the traffic management effect of the parking lot when a plurality of intentional vehicles are in a unified delivery state is improved, and the smooth departure effect of each intentional vehicle to leave is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic management methods, and particularly to a traffic management method and system for a parking lot in an automobile sales market. Background Art

[0002] With the development of technology, the automobile sales market, as a place for vehicle sales, contains a corresponding parking lot. In the automobile sales market, the vehicles reserved by users are regarded as intended vehicles, and the delivery of the intended vehicles also takes place in the parking lot. However, the interaction of the intended vehicles generally involves staff driving. When multiple intended vehicles are delivered at the same time, the multiple intended vehicles often get crowded when leaving the parking lot, which affects the traffic management effect of the parking lot when multiple intended vehicles are in a unified delivery state. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a traffic management method and system for a parking lot in an automobile sales market.

[0004] An embodiment of the present invention provides a traffic management method for a parking lot in an automobile sales market, including: determining the parking lot space of the automobile sales market based on the location of the automobile sales market and the detection image of the unmanned aerial vehicle; determining the transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking lot space; triggering the intelligent handling of the intended vehicle by the AGV handling robot according to the transfer trajectory of the intended vehicle; determining the exit process schedule of the intended vehicle based on the departure time of the user, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; in the parking lot, if multiple intended vehicles are delivered at the same delivery time, determining the traffic management system of the parking lot according to multiple exit process schedules and the spatial positions of each user; in the traffic management system of the parking lot, triggering the opening of a temporary exit according to the congestion situation at each exit position, the congested area in the parking lot, and each intended vehicle to leave.

[0005] An embodiment of the present invention provides a traffic management system for a parking lot in an automobile sales market. The traffic management system for a parking lot in an automobile sales market is applied to the above-mentioned traffic management method for a parking lot in an automobile sales market. The traffic management system for a parking lot in an automobile sales market includes: A parking lot space module, configured to determine the parking lot space of the automobile sales market based on the location of the automobile sales market and the detection image of the unmanned aerial vehicle; A transfer trajectory module, configured to determine the transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking lot space; An intelligent handling module, which is used to trigger an AGV handling robot to intelligently handle an intended vehicle according to the transfer trajectory of the intended vehicle; An outgoing process table module, which is used to determine the outgoing process table of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; A traffic management system module, which is used to determine the traffic management system of the parking lot in the parking lot if multiple intended vehicles are to be delivered at the same delivery time according to multiple outgoing process tables and the spatial positions of each user; A temporary exit module, which is used to trigger the opening of a temporary exit in the traffic management system of the parking lot according to the congestion situation at each exit position, the congested areas in the parking lot, and each intended vehicle to leave.

[0006] The present invention has the following beneficial effects: (1) Determine the parking lot space of the automobile sales market based on the location of the automobile sales market and the detection image of the drone; determine the transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking lot space; trigger an AGV handling robot to intelligently handle the intended vehicle according to the transfer trajectory of the intended vehicle; determine the outgoing process table of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery, conduct outgoing control for each intended vehicle, and improve the intelligent delivery effect of each intended vehicle in the parking lot.

[0007] (2) In the parking lot, if multiple intended vehicles are to be delivered at the same delivery time, determine the traffic management system of the parking lot according to multiple outgoing process tables and the spatial positions of each user. In the traffic management system of the parking lot, trigger the opening of a temporary exit according to the congestion situation at each exit position, the congested areas in the parking lot, and each intended vehicle to leave, accommodate the overall consideration of multiple outgoing process tables and the spatial positions of each user, improve the traffic management effect of the parking lot when multiple intended vehicles are in a unified delivery state, and effectively handle the congestion situation at the exit position, ensuring the smooth departure effect of each intended vehicle to leave. Description of the Drawings

[0008] Figure 1 It is a schematic diagram of the application scenario of the traffic management method for the parking lot of an automobile sales market in an embodiment; Figure 2 It is a schematic flowchart of the traffic management method for the parking lot of an automobile sales market in an embodiment of the present invention; Figure 3 It is a schematic diagram of the structural composition of the traffic management system for the parking lot of an automobile sales market in an embodiment of the present invention. Detailed implementation manners

[0009] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0010] The traffic management method for the parking lot in the automobile sales market provided by this application is applied to the application environment as Figure 1 shown. Among them, the computer 102 communicates with the server 104 through the network. Among them, the computer 102 is but not limited to various personal computers, servers, traffic management methods, and the server 104 is implemented by an independent server or a server cluster composed of servers.

[0011] Please refer to Figures 1 to 3 , a traffic management method for the parking lot in the automobile sales market, which is applied to the traffic management scenario of the parking lot in the automobile sales market; the traffic management method for the parking lot in the automobile sales market includes: Step S11: Determine the parking lot space of the automobile sales market based on the location of the automobile sales market and the detection images of the drone; Step S12: Determine the transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking lot space; Step S13: Trigger the intelligent handling of the intended vehicle by the AGV handling robot according to the transfer trajectory of the intended vehicle; Step S14: Determine the departure process schedule of the intended vehicle based on the departure time of the user, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; Step S15: In the parking lot, if multiple intended vehicles are delivered at the same delivery time, determine the traffic management system of the parking lot according to multiple departure process schedules and the spatial positions of each user; Step S16: In the traffic management system of the parking lot, trigger the opening of the temporary exit according to the congestion conditions at each exit position, the congested areas in the parking lot, and each intended vehicle to leave.

[0012] In step S11, determine the parking lot space of the automobile sales market based on the location of the automobile sales market and the detection images of the drone; In the specific implementation process of the present invention, the specific steps are as follows: S111: Locate the automobile sales market and collect the location of the sales market; trigger the dynamic shooting of the drone based on the location of the sales market, and collect multiple detection images according to the dynamic shooting of the drone; S112: Construct a three-dimensional model of the automobile sales market based on the location of the sales market, the distribution map of the location of the sales market, and multiple detection images of the drone; determine multiple functional spaces based on traversing the three-dimensional model of the automobile sales market; S113: Determine the parking lot space of the automobile sales market according to multiple functional spaces, the warehousing routes of each vehicle, and the parking positions of each vehicle.

[0013] In an embodiment of the present application, locate the automobile sales market and collect the location of the sales market; trigger the dynamic shooting of the drone based on the location of the sales market, and collect multiple detection images according to the dynamic shooting of the drone. The dynamic shooting of the drone is introduced, and the accuracy of the multiple detection images is ensured.

[0014] At this time, locate the automobile sales market and use GPS (Global Positioning System) or other geolocation technologies (such as Beidou, GLONASS, etc.) to obtain the location information of the automobile sales market; this information usually includes longitude, latitude, and altitude.

[0015] After obtaining the location information of the sales market, the system will trigger the takeoff and shooting tasks of the drone according to the preset flight plan and parameters (such as flight altitude, speed, shooting angle, etc.); the drone will dynamically shoot the sales market and its surrounding environment according to the set flight path, and collect multiple detection images at different angles and positions; these images will be used for subsequent 3D reconstruction or scene understanding tasks.

[0016] During the shooting process, the drone will transmit the collected image data back to the ground station or cloud server in real time through a wireless transmission method (such as Wi-Fi, 4G / 5G, etc.); the ground station or cloud server will store and process the received image data for subsequent 3D reconstruction, image recognition and other tasks; these image data should contain sufficient information to accurately reflect the layout and characteristics of the sales market.

[0017] Furthermore, construct a three-dimensional model of the automobile sales market based on the location of the sales market, the distribution map of the location of the sales market, and multiple detection images of the drone; determine multiple functional spaces based on traversing the three-dimensional model of the automobile sales market, realizing the traversal of the three-dimensional model of the automobile sales market and ensuring the accuracy of the multiple functional spaces.

[0018] At this time, the location of the sales market, the distribution map of the location of the sales market, and multiple detection images of the drone are introduced. Optionally, the location information, distribution map, and multiple detection images of the drone are collected. The distribution map of the location of the sales market is a satellite image, a city planning map, or an existing market layout map, which provides the macro location and approximate scope of the market. The detection images of the drone provide detailed micro information about the market, including the shape, height, road layout, vegetation, etc. of the buildings. Using three-dimensional reconstruction techniques (such as Structure from Motion - SFM, Multi - View Stereo - MVS, etc.) or Geographic Information System (GIS) techniques, a three - dimensional model of the automobile sales market is constructed by combining this information. The three - dimensional model should include elements such as the three - dimensional structure of the market, buildings, roads, greenery, etc., and accurately reflect the actual situation of the market as much as possible.

[0019] After the three - dimensional model is constructed, it is necessary to traverse and analyze the model to determine multiple functional spaces within the market. The functional spaces include exhibition halls, maintenance areas, warehouses, parking lots, office areas, etc. By traversing the model, the location, size, and shape of each functional space are determined. This information is crucial for subsequent market planning and operation, helping to optimize the space layout, improve resource utilization rate, and user experience.

[0020] Therefore, based on multiple functional spaces, the inbound routes of each vehicle, and the parking positions of each vehicle, the parking space of the automobile sales market is determined, taking into account the overall consideration of multiple functional spaces, the inbound routes of each vehicle, and the parking positions of each vehicle, ensuring the accuracy of the parking space of the automobile sales market.

[0021] At this time, after determining multiple functional spaces within the automobile sales market (such as exhibition halls, maintenance areas, warehouses, office areas, etc.), it is necessary to conduct in - depth analysis of these functional spaces. This includes understanding the specific location, floor area, usage frequency, and related vehicle flow conditions of each functional space.

[0022] According to the layout and usage of the functional spaces, the best inbound routes for each vehicle (including new cars, test drive cars, maintenance cars, etc.) from the market entrance to each functional space need to be planned. These routes should avoid traffic congestion as much as possible to ensure that vehicles can reach the designated positions smoothly and efficiently. After planning the inbound routes, specific parking positions need to be determined for each vehicle. This includes new car display positions, test drive car parking spaces, maintenance car repair workstations, and customer temporary parking spaces, etc. The selection of parking positions should consider the mobility, safety, and convenience of customers.

[0023] After analyzing the functional spaces, planning the vehicle entry routes, and determining the vehicle parking positions, these pieces of information are integrated to determine the parking lot space in the automotive sales market; the parking lot space should include the parking areas for all vehicles, aisle widths, entrance and exit positions, as well as necessary traffic signs and facilities.

[0024] Specifically, assume an operator of an automotive sales market needs to re-plan and optimize the parking lot space within the market; first, by analyzing multiple functional spaces within the market (such as exhibition halls, repair areas, warehouses, etc.), the specific locations and usage situations of each functional space are understood; then, the entry routes for each vehicle are planned to ensure that new cars, test drive cars, and repair cars can smoothly reach their designated positions; next, the parking positions for each vehicle are determined, including new car display positions, test drive car parking spaces, repair workstations, and customer temporary parking spaces, etc.; finally, integrating this information, a layout plan of the parking lot space is drawn using CAD software, clarifying details such as parking areas, aisle widths, entrance and exit positions, as well as traffic signs and facilities.

[0025] In this way, the parking lot space in the automotive sales market has been successfully re-planned, improving vehicle mobility and customer convenience; at the same time, the safety and management efficiency of the parking lot have also been enhanced, laying a solid foundation for the long-term development of the market.

[0026] In step S12, based on the spatial position of the user, the user's intended vehicle, and the position of the intended vehicle relative to the parking lot space, the transfer trajectory of the intended vehicle is determined. In the specific implementation process of the present invention, the specific steps are as follows: S121: Determine the spatial position of the user based on the comparison of the positions of the user and the automotive sales market. S122: Determine the user's intended vehicle according to the user's personal information, the user's vehicle order information, and the vehicle database of the automotive sales market, and determine the position of the intended vehicle relative to the parking lot space of the automotive sales market according to the user's intended vehicle and the parking lot space of the automotive sales market. S123: Interact with the position of the intended vehicle relative to the parking lot space, the spatial position of the user, and the driving road distribution map within the parking lot; based on the interaction of the position of the intended vehicle relative to the parking lot space, the spatial position of the user, and the driving road distribution map within the parking lot, determine the transfer trajectory of the intended vehicle.

[0027] In the embodiments of the present application, by determining the spatial position of the user based on the comparison of the positions of the user and the automotive sales market, the comparison of the positions of the user and the automotive sales market is achieved, ensuring the accuracy of the spatial position of the user.

[0028] At this time, positioning technologies such as GPS, Beidou, Wi-Fi positioning, base station positioning, etc. are used to obtain the user's real-time location information; this usually includes coordinate data such as longitude, latitude, altitude, etc.; the location information of the automobile sales market is obtained through map service APIs, database queries, or manual input, etc.; similarly, this information usually includes the longitude, latitude, address, etc. of the market.

[0029] Compare the user's location information with the location information of the automobile sales market, and calculate the distance and direction between the two; based on the calculated distance and direction, as well as other factors (such as traffic conditions, terrain, etc.), determine the user's spatial location relative to the automobile sales market; this usually means marking the user's location on the map and giving a direction guidance relative to the market location (such as "The market is in your northeast direction, about 2 kilometers away"). Furthermore, based on the user's personal information, the user's vehicle order information, and the vehicle database of the automobile sales market, determine the user's intended vehicle, and based on the user's intended vehicle and the parking lot space of the automobile sales market, determine the location of the intended vehicle relative to the parking lot space, ensuring the accuracy of the location of the intended vehicle relative to the parking lot space.

[0030] At this time, based on the user's personal information, vehicle order information, and the vehicle database of the automobile sales market, determine the user's intended vehicle, and further determine its specific location in the parking lot based on the intended vehicle and the parking lot space.

[0031] Personal information includes the user's name, age, gender, occupation, car purchase budget, preferences, etc., and this information helps to understand the user's car purchase needs and preferences; the vehicle order information is the vehicle order submitted by the user through the website, application, or physical store of the automobile sales market, and contains detailed information such as vehicle model, color, configuration, delivery time, etc.

[0032] Match the user's vehicle order information with the vehicle database of the automobile sales market to find the intended vehicle that meets the user's needs; the vehicle database should contain detailed information about all available vehicles in the market, such as vehicle model, color, configuration, price, inventory status, etc.; once the intended vehicle is determined, it is necessary to find its specific location in the parking lot; at the same time, the parking lot space information should include parking space numbers, area division, parking space types (such as indoor, outdoor, VIP, etc.), and the current parking status of the vehicle; according to the characteristics of the intended vehicle and the user's needs (such as avoiding direct sunlight, being close to the entrance and exit, etc.), select a suitable location in the parking lot.

[0033] Specifically, assume that user B has reserved a black luxury SUV in the car sales market C and wishes to know the specific location of the vehicle and the vehicle collection process; the personal information of user B shows that he is a middle-aged man with a strong interest in luxury SUVs and a relatively high budget for purchasing a car; the vehicle order information shows that user B has reserved a black luxury SUV with configurations such as four-wheel drive, panoramic sunroof, and high-end audio, and the expected delivery time is this Friday.

[0034] The vehicle database in the car sales market C shows that there is a black luxury SUV that meets the needs of user B in stock, and the model, color, and configuration match the order; the status of this vehicle is "deliverable", which means it has been reserved and is ready to be delivered to user B this Friday; the parking lot space information shows that this black luxury SUV is currently parked in parking space No. A12 in the indoor VIP parking area.

[0035] Therefore, an interaction is carried out on the position of the intended vehicle relative to the parking lot space, the user's spatial position, and the distribution map of the driving roads in the parking lot; based on the interaction of the position of the intended vehicle relative to the parking lot space, the user's spatial position, and the distribution map of the driving roads in the parking lot, the transfer trajectory of the intended vehicle is determined, ensuring the accuracy of the transfer trajectory of the intended vehicle.

[0036] At this time, the position of the intended vehicle relative to the parking lot space, the user's spatial position, and the distribution map of the driving roads in the parking lot are introduced. At the same time, for the intended vehicle position: obtain the current parking position of the intended vehicle from the vehicle management system or database of the car sales market, including information such as the parking space number and area; for the user position: obtain the real-time or specified position of the user through the user's mobile phone positioning, in-app position selection, or manual input, etc.; for the distribution map of the driving roads in the parking lot: obtain a high-precision map of the parking lot, including information such as lanes, parking spaces, entrances and exits, and obstacles.

[0037] Overlay and display the intended vehicle position, user position, and the parking lot road distribution map in a map or navigation system; analyze the feasible paths from the intended vehicle position to the user position, considering factors such as lane width, turning radius, and obstacle restrictions; evaluate the driving difficulty, time cost, and safety of different paths; further, based on the interaction analysis results of the position and the road, select an optimal path as the transfer trajectory of the intended vehicle; the determination of the optimal path involves a comprehensive consideration of multiple factors, such as the shortest distance, the least time, and the lowest driving difficulty, etc.

[0038] Specifically, assume that user A reserves a new car in the car sales market and hopes to transfer the vehicle from the exhibition hall to their own parking space for a test drive; Location of the intended vehicle: The new car is currently parked in the designated parking space in the exhibition hall; User location: User A selects their reserved parking space through the map function in the application; Distribution map of the driving roads in the parking lot: The market provides a high-precision parking lot map, including information such as lanes, parking spaces, and entrances and exits.

[0039] Overlay and display the location of the intended vehicle, the user's location, and the parking lot road distribution map in the navigation system; Analyze the feasible paths from the exhibition hall parking space to the user's parking space, considering lane width, turning radius, and obstacles (such as other parked vehicles); Evaluate the driving difficulty and time cost of different paths, and select a relatively spacious, obstacle-free, and shorter driving time path; Based on the interactive analysis results of location and roads, determine a transfer trajectory starting from the exhibition hall parking space, passing through the main lane, bypassing obstacles, and finally reaching the user's parking space; This trajectory takes into account driving difficulty and safety while minimizing the driving time.

[0040] In step S13, trigger the intelligent handling of the intended vehicle by the AGV handling robot according to the transfer trajectory of the intended vehicle; In the specific implementation process of the present invention, the specific steps are as follows: S131: Collect the transfer track of the intended vehicle; Determine the corresponding AGV handling robot based on the transfer track of the intended vehicle, the weight information of the intended vehicle, and the force balance distribution map of the intended vehicle; S132: Trigger the support of the AGV handling robot for the intended vehicle based on the chassis distribution map of the intended vehicle and the support arms of the AGV handling robot, and perform intelligent handling of the intended vehicle by the AGV handling robot; S133: When the AGV handling robot performs intelligent handling of the intended vehicle, determine the moving state of the intended vehicle based on the moving speed of the intended vehicle, the attitude of the intended vehicle, and the moving data of the AGV handling robot to ensure the stable movement of the intended vehicle; In the embodiment of the present application, collect the transfer track of the intended vehicle; Determine the corresponding AGV (Automated Guided Vehicle) handling robot based on the transfer track of the intended vehicle, the weight information of the intended vehicle, and the force balance distribution map of the intended vehicle, which incorporates the overall consideration of the transfer track of the intended vehicle, the weight information of the intended vehicle, and the force balance distribution map of the intended vehicle, ensuring the precise control and applicability of the AGV handling robot.

[0041] At this time, collect the transfer trajectory of the intended vehicle, and determine the most suitable AGV (Automated Guided Vehicle) handling robot based on this trajectory, the weight information of the intended vehicle, and the weight information of the intended vehicle.

[0042] Collect environmental data, such as parking space positions, road widths, obstacle positions, etc., through sensors installed on vehicles or AGV (Automated Guided Vehicle) handling robots; then, use this data and path planning methods to calculate an optimal transfer trajectory; obtain the weight information and force balance distribution map of the intended vehicle from the vehicle management system; then, based on this information, select an AGV (Automated Guided Vehicle) handling robot with sufficient load-bearing capacity and good stability. During the selection process, factors such as the size, operation flexibility, and navigation accuracy of the AGV (Automated Guided Vehicle) handling robot also need to be considered to ensure its compatibility with the intended vehicle.

[0043] Specifically, assume that a user reserves a heavy truck for a test drive and hopes to transfer from Area A to Area B in the parking lot of the auto sales market for the test drive. Use the GPS system and RFID tags installed on the heavy truck and potential AGV (Automated Guided Vehicle) handling robots to collect the road layout, parking space positions, and obstacle information between Area A and Area B in the parking lot. Use path planning methods to calculate an optimal transfer trajectory from Area A to Area B, which takes into account road widths, turning radii, and traffic congestion.

[0044] Obtain the weight information of the heavy truck from the vehicle management system, including an empty weight of 20 tons and a maximum load weight of 25 tons; obtain the force balance distribution map of the heavy truck, showing that the center of gravity of the vehicle is located at a position slightly behind the middle of the carriage under different loading conditions. Based on this information, select an AGV (Automated Guided Vehicle) handling robot with a load-bearing capacity of 30 tons, which has a stable support structure and strong driving force and can maintain the balance and stability of the heavy truck during handling. During the selection process, the size and operation flexibility of the AGV (Automated Guided Vehicle) handling robot are also considered to ensure that it can easily enter and exit the parking space of the heavy truck and drive flexibly in the narrow parking lot aisles.

[0045] Furthermore, based on the chassis distribution map of the intended vehicle and the support arms of the AGV (Automated Guided Vehicle) handling robot, trigger the support of the AGV handling robot for the intended vehicle, and perform intelligent handling of the intended vehicle by the AGV handling robot, realizing the intelligent handling of the intended vehicle by the AGV handling robot.

[0046] At this time, obtain the chassis distribution map of the target vehicle from the vehicle manufacturer or management system; then, use image recognition or manual annotation methods to determine the specific positions of the support points on the distribution map; this information will be input into the control system of the AGV handling robot for precise alignment during the handling process; the control system of the AGV handling robot will receive the support point information from the chassis distribution map and control the movement of the support arm; through integrated sensors (such as laser rangefinders, pressure sensors, etc.), the AGV monitors the contact situation between the support arm and the vehicle chassis in real time to ensure the stability and safety of the support.

[0047] After the vehicle is stably supported, the AGV handling robot will start to perform the handling task; the handling process involves the AGV driving along a predetermined trajectory while maintaining stable support for the vehicle; the AGV is usually equipped with a navigation system and a drive system to ensure that it can accurately track the predetermined trajectory during the handling process and adapt to different road and obstacle conditions; in addition, the AGV handling robot also needs to have an intelligent obstacle avoidance function, which can automatically adjust the driving path when encountering obstacles to avoid collisions.

[0048] The control system of the AGV handling robot will integrate the navigation method and the obstacle avoidance method to achieve intelligent handling; the navigation system is based on technologies such as laser navigation, visual navigation, or magnetic navigation, while the obstacle avoidance method uses sensor data to detect the surrounding environment in real time to ensure the safe driving of the AGV during the handling process.

[0049] Specifically, assume that a user reserves a luxury car for a test drive and wishes to transfer it from the car sales showroom to the test drive track; obtain the chassis distribution map of the luxury car from the vehicle manufacturer, which shows that the support points of the vehicle chassis are near the front and rear axles; use image recognition technology to accurately mark the positions of the support points on the chassis distribution map and input this information into the control system of the AGV handling robot.

[0050] After receiving the support point information, the AGV handling robot adjusts the position and angle of its support arm to ensure precise alignment with the support points on the chassis of the luxury car; the support arm is slowly lifted by the pneumatic system to stably support the luxury car; during the support process, the AGV handling robot uses a laser rangefinder to monitor the contact situation between the support arm and the vehicle chassis in real time to ensure the stability and safety of the support.

[0051] After the luxury car is stably supported, the AGV handling robot starts to drive from the car sales showroom to the test drive track along a predetermined trajectory; the AGV handling robot uses a laser navigation system to accurately track the predetermined trajectory and adapt to different road conditions and obstacles between the showroom and the test drive track; during the driving process, the AGV handling robot uses ultrasonic sensors and cameras to monitor the surrounding environment in real time, realizing the intelligent obstacle avoidance function to ensure the safe driving of the luxury car during handling.

[0052] Therefore, when the AGV handling robot conducts intelligent handling of the target vehicle, the moving state of the target vehicle is determined based on the moving speed of the target vehicle, the attitude of the target vehicle, and the moving data of the AGV handling robot to ensure the stable movement of the target vehicle.

[0053] At this time, monitor and evaluate the moving state during the intelligent handling of the target vehicle by the AGV (Automated Guided Vehicle) handling robot to ensure the stable movement of the target vehicle. This includes monitoring the moving speed and attitude of the target vehicle, as well as the moving data of the AGV handling robot, so as to comprehensively judge and adjust the handling strategy.

[0054] During the handling process, the moving speed of the vehicle is monitored in real time through speed sensors installed on the target vehicle or the AGV handling robot; speed data is crucial for evaluating the smoothness and safety of the handling process; too fast or too slow speeds can lead to unstable handling or affect the user experience.

[0055] Attitude monitoring involves the real-time monitoring of parameters such as the tilt angle and pitch angle of the target vehicle during handling; these parameters are crucial for evaluating the stability of the vehicle and preventing safety accidents such as rollover; through sensors such as gyroscopes and accelerometers integrated on the vehicle or AGV, the attitude data of the vehicle is obtained in real time.

[0056] The moving data of the AGV handling robot itself, such as position, speed, acceleration, etc., is also an important factor in evaluating the moving state of the target vehicle; these data help to understand the performance of the AGV during handling and how it adapts to different road conditions and obstacles; through sensors and navigation systems integrated on the AGV, these moving data are obtained in real time.

[0057] Based on the moving speed and attitude of the target vehicle and the moving data of the AGV handling robot, the control system makes a comprehensive judgment and adjusts according to preset safety standards and handling strategies; this includes adjusting the speed, changing the path, triggering an alarm, etc. to ensure the stability and safety of the target vehicle during handling.

[0058] Specifically, assume that a user has reserved an SUV for a test drive and wishes to transfer from the car sales showroom to the outdoor test drive area; during the intelligent handling of the SUV by the AGV handling robot, the following steps are executed to ensure stable movement: during the handling process, a speed sensor monitors the movement speed of the SUV in real time and transmits the data to the control system; the control system monitors the speed according to a preset speed range (for example, not exceeding 5 km / h); if it is found that the speed is too fast, the control system will automatically decelerate to ensure the smoothness of the handling process.

[0059] Sensors such as gyroscopes and accelerometers monitor the attitude of the SUV in real time, including the tilt angle and pitch angle; the control system analyzes this data using a method and evaluates the stability of the SUV; if it is found that the attitude of the SUV is unstable (for example, the tilt angle is too large), the control system will trigger an alarm and adjust the handling path or decelerate to prevent safety accidents such as rollover.

[0060] Sensors such as laser rangefinders and cameras on the AGV handling robot monitor its position and movement status in real time; the control system uses this data to evaluate the performance of the AGV and adjusts the handling strategy as needed; for example, if an obstacle is found ahead, the control system will command the AGV to change the path or decelerate to avoid collision; the control system comprehensively analyzes and judges the movement speed, attitude of the intended vehicle, and the movement data of the AGV handling robot in real time; if any unstable factors are found, the control system will trigger corresponding actions such as decelerating, changing the path, or triggering an alarm to ensure the stability and safety of the SUV during the handling process.

[0061] In another embodiment of the present application, an example of state matching is as follows: In the above example, the actually monitored movement speed, attitude of the intended vehicle, and the movement speed and position accuracy of the AGV all fall within the preset safety range, so it is determined that the movement state of the intended vehicle is stable.

[0062] In step S14, an out - of - factory process schedule of the intended vehicle is determined based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; In the specific implementation process of the present invention, the specific steps are as follows: S141: Determine the user's departure time based on the user's vehicle order information and the user's itinerary plan; determine the handling time of the AGV handling robot according to the user's departure time, the transfer trajectory of the intended vehicle, and the current state of the AGV handling robot; S142: Determine the remaining time based on the user's departure time and the handling time of the AGV handling robot, and determine the functional items of the intended vehicle before delivery according to the remaining time, the model information of the intended vehicle, and the vehicle database in the automotive sales market; S143: Conduct multiple interactions on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery, and determine the outgoing process schedule of the intended vehicle according to the multiple interactions of the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery. The outgoing process schedule of the intended vehicle contains the project information of the functional items of the intended vehicle before delivery, the corresponding processing time, and the delivery time of the intended vehicle; In the embodiment of the present application, the user's departure time is determined based on the user's vehicle order information and the user's itinerary plan; the handling time of the AGV handling robot is determined according to the user's departure time, the transfer trajectory of the intended vehicle, and the current state of the AGV handling robot, taking into account the overall consideration of the user's departure time, the transfer trajectory of the intended vehicle, and the current state of the AGV handling robot, ensuring the accuracy of the handling time of the AGV handling robot.

[0063] At this time, the user's vehicle order information and the user's itinerary plan are introduced, and the user's vehicle order information is collected, which usually includes detailed information such as vehicle model, color, configuration, etc.; at the same time, the user's itinerary plan needs to be obtained, which includes the user's estimated arrival time, test drive arrangement, expected delivery time, etc.; the user's itinerary plan will be analyzed in depth, especially focusing on the time point when the user is expected to leave; this time point is informed by the user to the sales consultant or set by the user himself in the reservation system; based on the analysis of the itinerary plan, the system will determine a reasonable user departure time; this time point usually takes into account the user's test drive requirements, delivery expectations, and other activity arrangements.

[0064] According to the current position of the intended vehicle and the user's delivery requirements, an optimal transfer trajectory is planned; this trajectory usually takes into account the shortest path from the warehouse to the delivery area, as well as obstacles and traffic rules; while planning the transfer trajectory, the system will real-time evaluate the current state of the AGV handling robot, including its position, speed, battery level, whether it is busy, etc.; this information is crucial for accurately calculating the handling time; based on the length of the transfer trajectory, the speed of the AGV, and the current state, the system will calculate the time required for the AGV to complete the handling; this time usually takes into account dynamic factors such as acceleration, deceleration, and turning of the AGV on the way; optionally, if the calculated handling time exceeds the user's allowed departure time window, the system needs to adjust the handling plan, such as arranging a faster AGV, optimizing the transfer trajectory, or negotiating with the user to adjust the departure time.

[0065] Specifically, assume that Mr. Zhang, a user, reserved a black SUV in the car sales market and planned to take a test drive at 3:00 p.m. Mr. Zhang informed the sales consultant that he hoped to complete the delivery procedures as soon as possible after the test drive and leave the market for the airport before 4:30 p.m. The system will determine Mr. Zhang's departure time as 4:30 p.m. based on this information.

[0066] In Mr. Zhang's case, the intended vehicle is currently parked in Area A of the warehouse. The system plans a transfer trajectory from Area A to the delivery area, with a length of approximately 150 meters. At the same time, the system assesses that there is currently an AGV with sufficient power and idle, and its average speed is 1.2 m / s. Based on this information, the system calculates that the time required for the AGV to complete the handling is about 1 minute or more (taking into account factors such as acceleration and deceleration). Since this time is much lower than the departure time window allowed by Mr. Zhang (from the end of the test drive to 4:30 p.m.), the system does not need to adjust the handling plan.

[0067] Furthermore, based on the user's departure time and the handling time of the AGV handling robot, the remaining time is determined, and based on the remaining time, the model information of the intended vehicle, and the vehicle database of the car sales market, the functional items of the intended vehicle before delivery are determined, realizing the interaction of the remaining time, the model information of the intended vehicle, and the vehicle database of the car sales market, ensuring the accuracy of the functional items of the intended vehicle before delivery.

[0068] At this time, the user's departure time and the handling time of the AGV handling robot are collected. The user's departure time is usually determined in the previous step S141, while the AGV handling time is calculated based on the transfer trajectory of the intended vehicle and the current state of the AGV. Subtract the AGV handling time from the user's departure time to obtain the remaining available time before the delivery of the intended vehicle. This time window is crucial for determining which functional items can be completed.

[0069] According to the model information of the intended vehicle, query in the vehicle database of the car sales market the functional items that are usually required to be completed before delivery for this model. These functional items include vehicle cleaning, function inspection, software update, accessory installation, etc. For each functional item, the system will evaluate the time required to complete it. This time will vary according to the specific situation of the vehicle and the market environment.

[0070] Based on the remaining time and the time-consuming of each functional item, the system will intelligently select the functional items that can be completed within the remaining time. These items usually give priority to those tasks that have a greater impact on the user experience and vehicle performance. Finally, the system will generate a list of functional items of the intended vehicle before delivery, detailing the name, time-consuming, and execution order of each item.

[0071] Specifically, assume that Miss Li, a user, has reserved a luxury car and plans to leave the car sales market at 5 p.m.; according to the calculation in step S141, it takes about 10 minutes for the AGV handling robot to complete the handling task; therefore, the system calculates that Miss Li's departure time window is 5 p.m., and the AGV handling time is before 4:50 p.m.; to reserve a certain buffer time, the system decides to set 4:45 p.m. as the last preparation time point before the intended vehicle is delivered; in this way, the intended vehicle has 15 minutes of remaining time before delivery to complete the necessary functional items.

[0072] The system queries that the functional items that usually need to be completed before the delivery of a luxury car include vehicle cleaning (5 minutes), function inspection (5 minutes), software update (if necessary, about 10 minutes), and accessory installation (such as seat covers, floor mats, etc., about 5 minutes); considering that the intended vehicle for Miss Li has 15 minutes of remaining time before delivery, and software update is not required for every delivery (depending on whether the vehicle needs the latest software version), the system decides to prioritize the completion of the three items of vehicle cleaning, function inspection, and accessory installation; therefore, the functional item list generated by the system includes: vehicle cleaning (5 minutes), function inspection (5 minutes), and accessory installation (seat covers and floor mats, 5 minutes); in this way, the intended vehicle can complete the pre-delivery preparation work on time before Miss Li leaves.

[0073] Therefore, through multiple interactions of the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery, an outfield process schedule for the intended vehicle is determined based on the multiple interactions of the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery. The outfield process schedule for the intended vehicle contains the item information of the functional items of the intended vehicle before delivery, the corresponding processing time, and the delivery time of the intended vehicle, conducts outfield control for each intended vehicle, and improves the intelligent delivery effect of each intended vehicle in the parking lot.

[0074] At this time, the system will integrate the three key information of the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; these information are the basis for formulating the outfield process schedule; the system will conduct multiple interaction analysis; this includes analyzing the impact of the user's departure time on the AGV handling time and the functional item completion time, as well as the mutual influence between the AGV handling time and the functional item completion time; the system needs to ensure that the AGV can complete the handling task before the user's departure time, and the intended vehicle can complete all necessary functional items.

[0075] Based on the results of multiple interaction analyses, the system will formulate a detailed out - of - factory process schedule; this schedule will list in detail the project information, corresponding processing time, and execution order of each functional item of the intended vehicle before delivery; when formulating the out - of - factory process schedule, the system usually reserves a certain buffer time for each functional item to cope with delays or unexpected situations; this ensures that even in the most adverse circumstances, the intended vehicle can be delivered to the user on time. The system will determine the final delivery time of the intended vehicle based on the out - of - factory process schedule and the processing time of each functional item; this time should be earlier than or equal to the user's departure time to ensure that the user can pick up the vehicle on time; Specifically, assume that Mr. Wang, a user, has reserved an SUV and plans to leave the car sales market at 6 p.m.; according to the previous steps, the system has calculated that it takes about 15 minutes for the AGV handling robot to complete the handling task, and the intended vehicle has 20 minutes of remaining time to complete the functional items before delivery; When formulating the out - of - factory process schedule, the system first lists the functional items that need to be completed for the SUV before delivery, including vehicle cleaning (5 minutes), function inspection (5 minutes), software update (if required, about 10 minutes, but not required this time), and accessory installation (floor mat and driving recorder, about 10 minutes); Considering the time consumption and buffer time of each item, the system decides to execute the functional items in the following order: first, perform vehicle cleaning (5 minutes), then function inspection (5 minutes), and finally accessory installation (due to time constraints, the system decides to install the floor mat first, and the driving recorder is left as an optional item for the user to install later, and it is estimated that it takes 5 minutes to install the floor mat); Based on this out - of - factory process schedule, the system calculates that the final delivery time of the intended vehicle is 5:55 p.m., earlier than Mr. Wang's departure time of 6 p.m.; in this way, Mr. Wang can pick up his new car within the planned time.

[0076] In another embodiment of the present application, an example of weight and score calculation: In this example, assume that the remaining time is 15 minutes (the time from the end of AGV handling to the user's departure). A weight is assigned to each functional item, and the score of each item is calculated based on the remaining time and processing time. The item with a higher score indicates a higher priority and should be completed first.

[0077] Based on this calculation result, it is decided to give priority to vehicle cleaning (the highest score), then function inspection (the second - highest score), followed by accessory installation (floor mat), and software update (optional) is postponed or omitted because it has the lowest score and the longest time consumption.

[0078] Out - of - factory process schedule of the intended vehicle: User departure time: 18:00; AGV handling time: 17:45 - 17:50; Functional items and sequence: Vehicle cleaning (00:10); Functional inspection (00:15); Accessory installation (foot mat) (00:10); Reserved buffer time: 00:05; Estimated delivery time: before 17:55.

[0079] In step S15, in the parking lot, if multiple intended vehicles are to be delivered at the same delivery time, a traffic management system for the parking lot is determined according to multiple departure process sheets and the spatial positions of each user. In the specific implementation process of the present invention, the specific steps are as follows: S151: Monitor the parking lot in real time and uniformly control the delivery times of multiple intended vehicles; if multiple intended vehicles are to be delivered at the same delivery time, trigger the unified delivery status of multiple intended vehicles. S152: When multiple intended vehicles are in the unified delivery status, collect multiple departure process sheets based on the traceability of multiple intended vehicles; determine multiple delivery areas in the parking lot based on multiple departure process sheets, the delivery time, and the spatial positions of users. S153: Determine the transfer routes of multiple intended vehicles in the same parking lot according to the relative positions of multiple delivery areas, the driving road distribution map in the parking lot, and the locations of multiple intended vehicles; determine the traffic management system of the parking lot based on multiple transfer routes, the moving speeds of corresponding AGV handling robots, and multiple trainings of crowded areas in the parking lot. In the embodiment of the present application, the parking lot is monitored in real time, and the delivery times of multiple intended vehicles are uniformly controlled; if multiple intended vehicles are to be delivered at the same delivery time, trigger the unified delivery status of multiple intended vehicles and further control the unified delivery status of multiple intended vehicles.

[0080] At this time, the parking lot is monitored in real time, and data in the parking lot is collected; this data includes the positions of vehicles, the status of AGV handling robots (such as busy, idle, faulty, etc.), the occupancy of delivery areas, the traffic flow in the parking lot, etc.; the system analyzes the collected data in real time to obtain the current status and trends in the parking lot; for example, the system analyzes the moving speeds and directions of AGV handling robots to predict when they can complete the current task and reach the next destination; the system also analyzes the occupancy of delivery areas to determine which areas are idle and which areas are about to be occupied.

[0081] The system records the delivery time of each intended vehicle; these times are usually determined in the previous steps (such as S143) and stored in the system's database; the system compares the delivery times of multiple intended vehicles to determine whether multiple vehicles are scheduled for delivery at the same time; this process is achieved by querying the database and comparing the delivery time fields.

[0082] The system defines a unified delivery status indicating that multiple intended vehicles are to be delivered at the same time and coordination is required; this status is a flag or status code used to identify whether the system is currently in the unified delivery state.

[0083] When the system detects that multiple intended vehicles are to be delivered at the same time and the conflict cannot be resolved, the system triggers the unified delivery status; this status triggers the execution of subsequent steps (such as S152 and S153) to ensure the smoothness of the delivery process.

[0084] Specifically, assume that in a car sales market, two users (User A and User B) have both reserved vehicles and their delivery times are both scheduled for 5 pm; the system monitors the parking lot in real time and finds that User A's vehicle is ready for delivery while User B's vehicle is still undergoing final inspection; the system compares the delivery times of the two users and finds that they are the same and detects that there is not enough delivery area to accommodate both vehicles at the same time; at this time, the system triggers the unified delivery status and tries to resolve the conflict.

[0085] To solve this problem, the system takes the following measures: The system optimizes the handling plan of the AGV handling robots to ensure that they can efficiently move the vehicles from the preparation area to the delivery area; for example, the system arranges an AGV to first move User A's vehicle and then immediately move User B's vehicle after User B's vehicle is ready; if conditions permit, the system also considers increasing the number of delivery areas to accommodate more intended vehicles for simultaneous delivery.

[0086] Furthermore, when multiple intended vehicles are in the unified delivery state, multiple outgoing process sheets are collected based on the traceability of the multiple intended vehicles; multiple delivery areas in the parking lot are determined based on the multiple outgoing process sheets, the delivery time, and the spatial positions of the users, taking into account the overall compatibility of the multiple outgoing process sheets, the delivery time, and the spatial positions of the users, ensuring the accuracy of the multiple delivery areas in the parking lot.

[0087] At this time, when multiple intended vehicles are in the same delivery state, multiple outgoing process sheets are collected based on the traceability of the multiple intended vehicles. After introducing the multiple outgoing process sheets, the system integrates the collected multiple outgoing process sheets to form a unified view for use in subsequent steps. This view will display the current status, estimated completion time, and required delivery resources (such as AGV handling robots, technicians, etc.) of each vehicle.

[0088] The system first analyzes the integrated outgoing process sheets to determine the estimated completion time and required delivery steps for each vehicle; this helps the system understand which vehicles will be ready first and what resources they will require; the system then considers the unified delivery time, that is, the time point when all intended vehicles are planned to be delivered to the user at the same time; this time point is one of the key factors in determining the delivery area.

[0089] The system also needs to consider the spatial location of the user, that is, where the user plans to receive their vehicle; this is usually determined based on the user's previous instructions or through communication with the user; the user's location information is crucial for selecting the nearest delivery area; based on the above analysis, the system will determine multiple delivery areas within the parking lot; these areas should be close to the user's receiving point, while taking into account the estimated completion time and required resources of the vehicle; the system will give priority to those delivery areas that are idle, easily accessible, and can accommodate multiple vehicles.

[0090] Specifically, assume that in a large automobile sales market, the vehicles of three users (User A, User B, and User C) are all planned to be delivered at 4 pm; the system has detected that these three intended vehicles are in the same delivery state and has collected their outgoing process sheets.

[0091] The system traces the vehicle information of User A and finds that it is undergoing the final software update; the vehicle of User B has completed all steps and is waiting for the final inspection; the vehicle of User C is undergoing accessory installation; the system collects the outgoing process sheets of these vehicles and integrates their information; the system analyzes the outgoing process sheets and finds that the vehicle of User B will be ready first (estimated to be completed at 3:45 pm), followed by the vehicle of User A (estimated to be completed at 3:55 pm), and finally the vehicle of User C (estimated to be completed at 4:10 pm); however, since all users plan to receive their vehicles at 4 pm, the system needs to consider how to efficiently transfer the vehicles from the preparation area to the delivery area.

[0092] The system learns that both User A and User B are waiting in the reception area, while User C is on the other side of the exhibition hall; the system also notices that there are two delivery areas in the parking lot: Area A is close to the reception area, and Area B is close to the other side of the exhibition hall; based on the above analysis, the system decides to prioritize moving User B's vehicle to Area A (because it will be ready first and User B is waiting in the reception area); then, the system will also move User A's vehicle to Area A (even though it will be ready a little later, considering that User A is also waiting in the reception area and Area A has enough space to accommodate two vehicles); for User C's vehicle, since it will be ready the latest and User C is waiting on the other side of the exhibition hall, the system decides to move it to Area B.

[0093] Therefore, based on the relative positions of multiple delivery areas, the driving road distribution map in the parking lot, and the locations of multiple intended vehicles, the transfer routes of multiple intended vehicles within the same parking lot are determined; based on multiple transfer routes, the moving speeds of corresponding AGV handling robots, and multiple trainings of crowded areas in the parking lot, the traffic management system of the parking lot is determined, achieving precise control of the traffic management system of the parking lot.

[0094] At this time, the relative positions of multiple delivery areas, the driving road distribution map in the parking lot, and the current locations of multiple intended vehicles are collected; this information is the basis for determining the transfer routes; based on the collected location information, the system uses path planning methods to calculate the optimal transfer routes for each intended vehicle from its current location to its designated delivery area; these methods will consider factors such as the length, width, number of turns, and traffic congestion of the roads to ensure that the selected routes are both efficient and safe.

[0095] After calculating the initial transfer routes, the system will further optimize the routes; for example, if two routes cross at a certain point, the system will adjust the driving order of one of the routes to avoid potential conflicts; in addition, the system will also consider the size and turning radius of the AGV handling robots to ensure that they can drive smoothly along the planned routes; the system will generate a detailed transfer plan for each intended vehicle, including the starting location, target location, transfer route, estimated arrival time, and any necessary precautions.

[0096] Analyze the transfer routes of each intended vehicle to identify potential traffic bottlenecks and conflict points; these points are areas such as narrow roads, frequent turns, or intersections; consider the moving speeds of AGV handling robots on different roads; these speeds will be affected by factors such as road conditions, AGV performance, and traffic rules; the system will evaluate the AGV driving times on different routes based on this information.

[0097] To improve the efficiency and accuracy of the traffic management system, the system uses machine learning for multiple trainings; these trainings are based on historical data, real-time traffic information, and the actual performance of AGV handling robots; through training, the system learns strategies such as how to better predict traffic congestion, adjust the driving speed of AGVs, and optimize traffic signals; finally, the system determines an effective traffic management system based on the above analysis; this system includes measures such as dynamically adjusting the driving routes of AGVs, setting traffic signals to control vehicle flow, and monitoring and responding to potential traffic problems.

[0098] Specifically, assume that in a large car sales market parking lot, there are three intended vehicles (Vehicle A, Vehicle B, and Vehicle C) that need to be transferred from different preparation areas to their respective delivery areas; these delivery areas are located in the north, east, and west of the parking lot respectively.

[0099] The system first collected the road distribution map in the parking lot and the current positions of the three vehicles; then, the system used path planning to calculate the optimal transfer route for each vehicle; for example, Vehicle A needs to be transferred from the southern preparation area to the northern delivery area, and the system planned a route for it that passes through the main road and avoids narrow areas. After calculating the initial route, the system found that the routes of Vehicle B and Vehicle C have an intersection in the middle of the parking lot; to avoid potential conflicts, the system adjusted the driving order of Vehicle B to make it start slightly later so that it can continue to drive after Vehicle C passes through the intersection.

[0100] The system further analyzed the transfer routes and found that the middle area of the parking lot is a potential traffic bottleneck because multiple routes converge here; to relieve this bottleneck, the system decided to set traffic signals in this area to control the flow of vehicles; based on historical data and real-time traffic information, the system used machine learning for multiple trainings to optimize the traffic management system; through training, the system learned how to dynamically adjust the driving routes and speeds of AGVs according to traffic congestion; finally, the system implemented an effective traffic management strategy, including setting traffic signals, monitoring traffic conditions, and real-time adjusting the driving plans of AGVs.

[0101] Specifically, assume there are three transfer routes, and each route has a score based on multiple factors; the lower the score, the better the route. In this example, three transfer routes are listed for each intended vehicle, and a score is calculated for each route; then, the route with the lowest score is selected as the final transfer route.

[0102] To determine an effective traffic management system, multiple trainings are carried out based on multiple transfer routes, the moving speeds of corresponding AGV handling robots, and crowded areas in the parking lot; the multiple trainings are carried out based on historical data, real-time traffic information, and the actual performance of AGV handling robots.

[0103] Example of traffic management system: According to real-time traffic information and the performance of AGV handling robots, dynamically adjust the driving speed of AGVs; for example, reduce the speed in congested areas to avoid collisions and delays; set traffic signals at key intersections and traffic bottleneck areas to control the flow of AGVs; these signals are dynamically adjusted according to real-time traffic conditions to ensure smooth traffic.

[0104] Use cameras and sensors to monitor the traffic conditions in the parking lot in real time and automatically respond to potential traffic problems; for example, if traffic congestion or AGV failure is detected, the system automatically adjusts the driving routes of other AGVs or issues an alarm.

[0105] In step S16, in the traffic management system of the parking lot, trigger the opening of a temporary exit according to the congestion situation at each exit position, the crowded areas in the parking lot, and each intended vehicle to leave. In the specific implementation process of the present invention, the specific steps are as follows: S161: In the traffic management system of the parking lot, determine the number of parked vehicles according to the detection images at each exit position of the parking lot, and determine the congestion situation at each exit position according to the number of parked vehicles and the corresponding parking time. S162: Determine the crowded areas in the parking lot based on the dynamic detection of the parking lot by multiple cameras; determine the real-time crowded events in the parking lot according to the location of the crowded areas in the parking lot and the crowded time of the crowded areas in the parking lot. S163: Interact with the congestion situation at each exit position, the crowded areas in the parking lot, and each intended vehicle to leave, and determine the traffic emergency events in the parking lot according to the interaction of the congestion situation at each exit position, the crowded areas in the parking lot, and each intended vehicle to leave. S164: Trigger the opening of a temporary exit according to the traffic emergency events in the parking lot. At this time, the temporary exit of the parking lot is not opened in the normal state.

[0106] In the embodiment of the present application, in the traffic management system of the parking lot, determine the number of parked vehicles according to the detection images at each exit position of the parking lot, and determine the congestion situation at each exit position according to the number of parked vehicles and the corresponding parking time, ensuring the accurate identification of the congestion situation at each exit position.

[0107] At this time, high-resolution cameras or image sensors are installed at various exit positions in the parking lot; these devices capture images of the exit area in real time and transmit these images to the traffic management system; the images received by the traffic management system are processed by image processing methods; these methods identify the vehicles in the images and calculate the number of vehicles staying at each exit position; the image processing methods include techniques such as edge detection, shape matching, and color recognition to accurately identify and count the vehicles.

[0108] The system not only records the number of vehicles staying at each exit position but also tracks the staying time of these vehicles; this is determined by identifying the movement of the vehicles in the images (such as wheel rotation, body displacement, etc.) to judge whether the vehicle is still staying; if the vehicle has not moved for a long time, it is considered to have a long staying time.

[0109] Combining the number of staying vehicles and the staying time, the system evaluates the congestion situation at each exit position; if the number of staying vehicles is large and the staying time is long, then that exit position is in a congested state; the system calculates a congestion index based on these data to quantify the degree of congestion; the system continuously updates the data of the number of staying vehicles and the staying time according to the images captured in real time and evaluates the congestion situation at each exit position in real time; these data are provided to the parking lot management personnel so that they can take appropriate measures to relieve the congestion.

[0110] Furthermore, based on the dynamic detection of the parking lot by multiple cameras, the congested areas within the parking lot are determined; according to the location of the congested areas within the parking lot and the congestion time of the congested areas within the parking lot, the real-time congestion events within the parking lot are determined, ensuring the accuracy of the real-time congestion events within the parking lot.

[0111] At this time, multiple high-definition cameras are deployed at different positions in the parking lot, including key areas such as main channels, intersections, and near parking spaces; these cameras should have functions such as night vision and wide-angle to ensure clear images can be captured under various lighting conditions and angles; the cameras continuously capture dynamic images of the parking lot at a certain frame rate (such as 25 frames per second); these images contain information such as vehicle movement and parking space occupancy.

[0112] The captured images are transmitted to the traffic management system, and the image processing methods within the system analyze these images; this includes vehicle detection, tracking, speed calculation, parking space occupancy status recognition, etc.; by comparing consecutive frames of images, the system identifies the movement trajectories of vehicles and the occupancy changes of parking spaces; based on the results of image processing, the system calculates indicators such as vehicle density and vehicle flow speed in each area; when the vehicle density in a certain area exceeds a preset threshold or the vehicle flow speed is lower than a preset threshold, that area is marked as a congested area.

[0113] The system not only identifies crowded areas but also records their locations and the times when the crowding occurs; this helps managers understand the spatial distribution and temporal characteristics of crowding events; based on factors such as the duration of the crowded area, the scope of influence, and the degree of decline in vehicle flow speed, the system defines different types of crowding events; for example, a short-term congestion is regarded as a "minor crowding event", while a congestion with a long duration and a wide scope of influence is regarded as a "severe crowding event"; once a crowding event is identified, the system immediately generates a real-time event report; these reports contain information such as the location, type, duration, and expected impact of the crowding event, and notify managers through a graphical interface, text message, email, etc.

[0114] Furthermore, by interacting with the crowding conditions at each exit location, the crowded areas in the parking lot, and each intended vehicle waiting to leave, traffic emergency events in the parking lot are determined based on the interaction of the crowding conditions at each exit location, the crowded areas in the parking lot, and each intended vehicle waiting to leave, achieving precise control of traffic emergency events in the parking lot, effectively handling the crowding conditions at the exit location, and ensuring the smooth departure of each intended vehicle waiting to leave.

[0115] At this time, the crowding conditions at each exit location, the crowded areas in the parking lot, and each intended vehicle waiting to leave are introduced. Optionally, the traffic management system will integrate data on the crowding conditions from each exit location, data on the crowded areas in the parking lot, and data on the intended vehicles waiting to leave. These data include the vehicle queue length, residence time, and crowding index at the exit location, the location, size, and duration of the crowded areas in the parking lot, as well as the number, location, and expected departure time of the intended vehicles waiting to leave.

[0116] The system will perform interactive analysis on these data. This includes evaluating whether the crowding at the exit location affects the passing efficiency of the intended vehicles waiting to leave, whether the crowding in the parking lot causes poor vehicle flow, and whether the intended vehicles waiting to leave face long waits due to exit or internal crowding. The system will also analyze the interactions between these factors, such as whether the exit crowding exacerbates the internal crowding in the parking lot, or whether the increase in the intended vehicles waiting to leave further worsens the crowding condition at the exit location; based on the current data and the results of the interactive analysis, the system will attempt to predict the future traffic condition trends; this includes whether the crowding situation deteriorates, whether the intended vehicles waiting to leave can leave in time, and whether emergency measures need to be taken to relieve traffic pressure.

[0117] The system will determine whether a traffic emergency event has occurred according to the preset criteria for defining emergency events, combined with the results of the interactive analysis and the trend prediction; these criteria include that the crowding index at the exit location exceeds a specific threshold, the duration of the crowded area in the parking lot exceeds a certain period of time, the waiting time of the intended vehicles waiting to leave exceeds the preset limit, etc.

[0118] Once it is determined that a traffic emergency has occurred, the system will also classify it into different levels according to the severity and scope of the event; this helps the management personnel to take corresponding countermeasures according to the urgency of the event; the system will generate a traffic emergency report, including information such as the event type, level, location, scope of influence, and estimated duration, and notify the management personnel in a timely manner through graphical interfaces, text messages, emails, etc.

[0119] Therefore, the opening of the temporary exit is triggered according to the traffic emergency in the parking lot. At this time, the temporary exit of the parking lot is not opened in the normal state, realizing the opening of the temporary exit and ensuring the traffic management effect of the parking lot in the automobile sales market.

[0120] At this time, the traffic management system will continuously monitor the traffic conditions in the parking lot and automatically identify whether a traffic emergency has occurred according to the preset emergency event definitions and detection methods; these events include severe congestion at the exit location, large-area congestion inside the parking lot, long waiting times for vehicles intending to leave, etc.; once a traffic emergency is detected, the system will immediately make a conditional judgment; this includes evaluating the severity and scope of the event and whether the preset conditions for triggering the opening of the temporary exit have been met; these conditions are set based on thresholds of indicators such as congestion index, waiting time, and number of vehicles.

[0121] If the triggering conditions are met, the system will immediately activate the opening mechanism of the temporary exit; this usually involves sending an opening instruction to the physical devices (such as access control systems, electric doors, etc.) that control the temporary exit, and at the same time recording information such as the time, reason, and opening status of the event trigger; before triggering the opening of the temporary exit, the system will also perform necessary safety verifications to ensure that the opening operation will not cause other safety hazards; this includes checking whether there are people or obstacles around the temporary exit and ensuring that the opening operation will not conflict with other systems in the parking lot (such as fire protection systems, security monitoring systems, etc.).

[0122] In the normal state, the temporary exit will be locked or closed to prevent unauthorized vehicles or personnel from entering or leaving the parking lot; this helps to maintain the safety and order of the parking lot; the system will strictly control access to the temporary exit; the temporary exit will only be allowed to be opened under specific conditions (such as when a traffic emergency occurs); this is achieved by setting permissions, passwords, identity verification, etc.; the system will continuously monitor the status of the temporary exit and record every opening and closing operation; this helps the management personnel to understand the usage situation of the temporary exit and conduct audits or investigations when necessary.

[0123] Specifically, suppose that in the parking lot of a car sales market, the traffic situation in the parking lot is extremely tense due to a weekend promotion that attracts a large number of customers; the traffic management system detects that there is serious congestion at the exit near the main entrance of the car sales market, with the length of the vehicle queue exceeding 100 meters and the stay time exceeding 30 minutes; at the same time, there is also a large area of ​​congestion inside the parking lot, and the vehicle flow speed is almost stagnant; the system determines that this situation has met the preset conditions for triggering the opening of a temporary exit.

[0124] The system immediately activated the opening mechanism of the temporary exit and sent an opening command to the physical device that controls the temporary exit; before opening, the system performed a safety verification to ensure that there were no people or obstacles around the temporary exit and that the opening operation would not conflict with other systems in the parking lot; as the command was sent, the temporary exit opened quickly, providing an additional evacuation channel for vehicles waiting to leave; this effectively relieved the pressure on the main exit and reduced the waiting time of vehicles; under normal circumstances, this temporary exit is closed and subject to strict access control; only authorized personnel can open it under specific conditions; this ensures that the safety and order of the parking lot are not affected.

[0125] In another embodiment of the present application, the following is a simplified matching table for illustrating which traffic emergency events will trigger the opening of a temporary exit: In this matching table, the system will only open a temporary exit when certain trigger conditions are met. For example, if there is severe congestion at the exit, the length of the vehicle queue exceeds 50 meters and lasts for more than 15 minutes, the system will trigger the opening of the temporary exit.

[0126] Embodiment 3 See also Figure 3 , Figure 3 : is a schematic diagram of the structure of a traffic management system for a parking lot of a car sales market in an embodiment of the present invention. The traffic management system for a parking lot of a car sales market includes: A parking space module 21 is used to determine the parking space of the car sales market based on the location of the car sales market and the detection image of the drone; A transfer trajectory module 22, for determining a transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking space; The intelligent transport module 23 is used to trigger the AGV transport robot to intelligently transport the intended vehicle according to the transfer trajectory of the intended vehicle; The outgoing process schedule module 24 is used to determine the outgoing process schedule of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; The traffic management system module 25 is used to determine the traffic management system of the parking lot according to the multiple outgoing process schedules and the spatial positions of each user if multiple intended vehicles are delivered at the same delivery time in the parking lot; The temporary exit module 26 is used to trigger the opening of the temporary exit in the traffic management system of the parking lot according to the congestion conditions at each exit position, the congested areas in the parking lot, and each intended vehicle to leave.

[0127] For any combination of the technical features of the above embodiments, for the sake of brevity of description, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

Claims

1. A traffic management method for a parking lot in an automobile sales market, characterized in that: include: Determine the parking space of the car sales market based on the location of the car sales market and the detection image of the drone; Determining a transfer trajectory of the intended vehicle based on the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking space; According to the transfer trajectory of the intended vehicle, the AGV handling robot is triggered to intelligently carry the intended vehicle; Determine the departure schedule of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; In a parking lot, if multiple intended vehicles are delivered at the same time, the parking lot traffic management system is determined based on multiple exit process tables and the spatial location of each user; In the parking lot's traffic management system, temporary exits are opened based on the congestion at each exit, the congested area in the parking lot, and the vehicles that are about to leave.

2. The method for traffic management of a parking lot in an automobile sales market according to claim 1, characterized in that: The method of determining the parking space of the automobile sales market based on the location of the automobile sales market and the detection image of the drone includes: Locate the automobile sales market and collect the location of the sales market; trigger the dynamic shooting of the drone based on the location of the sales market, and collect multiple detection images according to the dynamic shooting of the drone; A three-dimensional model of the automobile sales market is constructed according to the location of the sales market, a distribution map of the location of the sales market, and multiple detection images of the drone; and multiple functional spaces are determined based on the traversal of the three-dimensional model of the automobile sales market; The parking lot space of the automobile sales market is determined according to multiple functional spaces, the entry routes of each vehicle, and the parking positions of each vehicle.

3. The traffic management method for a parking lot in an automobile sales market according to claim 2, characterized in that: The step of determining the transfer trajectory of the intended vehicle according to the spatial position of the user, the intended vehicle of the user, and the position of the intended vehicle relative to the parking lot space includes: Determine the user's spatial location based on a comparison of the user's location with the automobile sales market; Determine the user's intended vehicle based on the user's personal information, the user's vehicle order information, and a vehicle database of an automobile sales market, and determine the position of the intended vehicle relative to a parking space based on the user's intended vehicle and the parking space of the automobile sales market; The position of the intended vehicle relative to the parking space, the spatial position of the user, and the driving road distribution map in the parking lot are interacted; and the transfer trajectory of the intended vehicle is determined based on the interaction of the position of the intended vehicle relative to the parking space, the spatial position of the user, and the driving road distribution map in the parking lot.

4. The method for traffic management of a parking lot in an automobile sales market according to claim 3, characterized in that: The method of triggering the AGV handling robot to intelligently handle the intended vehicle according to the transfer trajectory of the intended vehicle includes: Collect the transfer rail of the intended vehicle; determine the corresponding AGV handling robot based on the transfer rail of the intended vehicle, the weight information of the intended vehicle and the force balance distribution diagram of the intended vehicle; Based on the chassis distribution map of the intended vehicle and the support arm of the AGV handling robot, the AGV handling robot is triggered to support the intended vehicle, and the intended vehicle is intelligently handled by the AGV handling robot; When the AGV transport robot performs intelligent transport of the intended vehicle, the moving state of the intended vehicle is determined based on the moving speed of the intended vehicle, the posture of the intended vehicle and the movement data of the AGV transport robot to ensure the stable movement of the intended vehicle.

5. The method for managing the traffic in a parking lot of an automobile sales market according to any one of claims 1 to 4, characterized in that: The method of determining the exit process table of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery includes: Determine the user's departure time based on the user's vehicle order information and the user's travel plan; determine the AGV transport robot's transport time based on the user's departure time, the transfer trajectory of the intended vehicle, and the current state of the AGV transport robot; Determine the remaining time based on the user's departure time and the handling time of the AGV handling robot, and determine the functional items of the intended vehicle before delivery based on the remaining time, the model information of the intended vehicle, and the vehicle database of the automobile sales market; Multiple interactions are performed on the user's departure time, the AGV transport robot's transport time, and the functional items of the intended vehicle before delivery, and the exit process table of the intended vehicle is determined based on the user's departure time, the AGV transport robot's transport time, and the functional items of the intended vehicle before delivery. The exit process table of the intended vehicle contains the item information of the functional items of the intended vehicle before delivery, the corresponding processing time, and the delivery time of the intended vehicle.

6. The method for managing the traffic in a parking lot of an automobile sales market according to any one of claims 1 to 4, characterized in that: In the parking lot, if multiple intended vehicles are delivered at the same delivery time, the traffic management system of the parking lot is determined according to multiple exit process tables and the spatial positions of each user, including: Real-time monitoring of the parking lot and unified control of the delivery time of multiple intended vehicles; if multiple intended vehicles are delivered at the same time, the unified delivery status of the multiple intended vehicles will be triggered; When multiple intended vehicles are in a unified delivery state, multiple exit process tables are collected based on the tracing of the multiple intended vehicles; multiple delivery areas in the parking lot are determined based on the multiple exit process tables, the delivery time and the user's spatial location.

7. The method for managing traffic in a parking lot of an automobile sales market according to claim 6, characterized in that: In the parking lot, if multiple intended vehicles are delivered at the same delivery time, the traffic management system of the parking lot is determined according to multiple exit process tables and the spatial positions of each user, and further includes: The transfer routes of multiple intended vehicles in the same parking lot are determined based on the relative positions of multiple delivery areas, the distribution map of driving roads in the parking lot, and the locations of multiple intended vehicles; the traffic management system of the parking lot is determined based on multiple transfer routes, the moving speeds of the corresponding AGV transport robots, and multiple trainings of crowded areas in the parking lot.

8. The method for managing the traffic in a parking lot of an automobile sales market according to any one of claims 1 to 4, characterized in that: In the traffic management system of the parking lot, the opening of the temporary exit is triggered according to the congestion situation of each exit position, the congested area in the parking lot, and each intended vehicle to leave, including: In the parking lot traffic management system, the number of parked vehicles is determined based on the detection images of each exit position of the parking lot, and the congestion situation of each exit position is determined based on the number of parked vehicles and the corresponding stay time; The congested area in the parking lot is determined based on the dynamic detection of the parking lot by multiple cameras; the real-time congestion event in the parking lot is determined according to the location of the congested area in the parking lot and the congestion time of the congested area in the parking lot.

9. The method for traffic management of a parking lot in a car sales market according to claim 8, characterized in that: In the parking lot traffic management system, the temporary exits are triggered to open according to the congestion conditions at each exit location, the congested area in the parking lot, and each intended vehicle to leave, and further includes: Interact with the congestion conditions at each exit, the congested area in the parking lot, and each vehicle intending to leave, and determine the traffic emergency event of the parking lot according to the interaction of the congestion conditions at each exit, the congested area in the parking lot, and each vehicle intending to leave; The opening of the temporary exit is triggered by a traffic emergency event in the parking lot. At this time, the temporary exit of the parking lot is not opened in a normal state.

10. A traffic management system for a parking lot in a car sales market, characterized in that: The traffic management system of the parking lot of the automobile sales market is applied to the traffic management method of the parking lot of the automobile sales market as claimed in any one of claims 1 to 9, and the traffic management system of the parking lot of the automobile sales market comprises: A parking space module, used to determine the parking space of the car sales market based on the location of the car sales market and the detection image of the drone; A transfer trajectory module, for determining a transfer trajectory of an intended vehicle based on a user's spatial position, the user's intended vehicle, and a position of the intended vehicle relative to a parking space; Intelligent handling module, used to trigger the AGV handling robot to intelligently handle the intended vehicle according to the transfer trajectory of the intended vehicle; The exit process table module is used to determine the exit process table of the intended vehicle based on the user's departure time, the handling time of the AGV handling robot, and the functional items of the intended vehicle before delivery; Traffic management system module, used in the parking lot, if multiple intended vehicles are delivered at the same time, the parking lot traffic management system is determined according to multiple exit process tables and the spatial location of each user; The temporary exit module is used in the parking lot's traffic management system to trigger the opening of temporary exits based on the congestion conditions at each exit location, the congested area in the parking lot, and each vehicle intending to leave.

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