Intelligent parking lot visualization method based on digital twinning

Abstract

This invention relates to a visualization method for smart parking lots based on digital twins, comprising the following steps: acquiring location information of preset intelligent devices within the parking lot, and environmental information of the internal and external connecting roads of the parking lot; establishing a digital twin-based digital model based on the location and environmental information; acquiring sensing data from the preset intelligent devices within the parking lot, and mapping the sensing data onto the digital model; outputting a matching visualization signal based on the set display configuration, and realizing the visualization of the parking lot based on the visualization signal. Compared with existing technologies, this invention achieves digital and intelligent management of various parking lot smart facilities by using digital twin 3D visualization to monitor the real-time operation status of vehicles and intelligent devices in smart parking lots, and provides managers with refined visualized parking lot operation management through comprehensive and refined management and operation.

Description

Technical Field

[0001] This invention relates to the field of intelligent parking, and in particular to a visualization method for intelligent parking lots based on digital twins. Background Technology

[0002] Existing parking lot monitoring systems are primarily based on video surveillance, with supervisors switching between multiple camera feeds on a large screen for monitoring. However, with the continuous development of autonomous driving, there is a growing demand for AVP (Autonomous Vehicle Pilot) functions in G3-level smart parking lots. Clearly, video surveillance alone cannot provide seamless, comprehensive monitoring of autonomous vehicles' operations. Furthermore, parking lots contain numerous controllable smart facilities. Traditional control methods involve clicking through a device list in a backend management system, but the large number of devices on the list leads to human error and lacks intuitive device location display, resulting in incorrect device control.

[0003] In summary, there is currently a lack of a visualization method for smart parking lots to address the problem that existing regulatory methods cannot intuitively display relevant information about smart devices and are prone to mistakenly selecting other devices. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology by providing a smart parking visualization method based on digital twins, so as to solve or partially solve the problem that the existing supervision methods cannot intuitively display the relevant information of smart devices and are prone to mistakenly selecting other devices.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] This invention provides a smart parking visualization method based on digital twins, comprising the following steps:

[0007] The location information of the smart devices preset in the parking lot, as well as the environmental information of the internal and external connecting roads of the parking lot, are obtained. Based on the location information and environmental information, a digital model based on digital twin is established.

[0008] Sensing data is acquired from pre-installed smart devices in the parking lot, and the sensing data is mapped into the digital model;

[0009] Based on the set display configuration, a matching visualization signal is output. The display configuration includes macroscopic view configuration, normal view configuration, and microscopic view configuration. In the macroscopic view configuration, the congestion situation is indicated by color, and the congestion status information of each road in the parking lot is output. In the normal view configuration, the parking space status information is output. In the microscopic view configuration, the view information of the selected intersection is output. The view information includes road data, parking lot building data, and vehicle data within the intersection area.

[0010] As a preferred technical solution, the intelligent device includes:

[0011] Roadside equipment is used to acquire vehicle-side operating data of vehicles in the parking lot;

[0012] Parking information collection equipment is used to obtain parking space status information;

[0013] Parking information display equipment is used to obtain information on currently available parking spaces and dynamic guidance data;

[0014] The berth intelligent management and control equipment is used to obtain the status information of the ground locks installed in the berths;

[0015] Parking positioning base station equipment is used to acquire the operating status data of positioning base stations and the coordinate location information of vehicles in the parking lot;

[0016] The barrier gate equipment is used to obtain barrier gate status information.

[0017] As a preferred technical solution, the perceived data includes one or more of the following: timestamp information, traffic participant category information, traffic participant appearance feature information, traffic participant location information, speed information, and heading information.

[0018] As a preferred technical solution, the environmental information of the parking lot's interior and external connecting roads includes a high-precision map of the parking lot obtained based on CAD drawings, laser point cloud data, and image data.

[0019] As a preferred technical solution, the high-precision map includes one or more of the following: parking lot entrance / exit layer, vehicle parking space layer, road marking layer, road traffic sign layer, positioning and timing device layer, and roadside sensing device layer.

[0020] As a preferred technical solution, the digital model is obtained by modeling the parking lot entrances and exits, road markings, parking spaces, parking lot road traffic signs, parking lot walls, parking lot ancillary safety facilities, positioning and timing equipment and roadside holographic sensing equipment.

[0021] As a preferred technical solution, the following are also included:

[0022] If a vehicle is detected entering, the system outputs full-process tracking information, including road travel, avoidance of traffic participants, and automatic parking. Based on the vehicle navigation information, the system outputs the planned travel route information of the target vehicle.

[0023] As a preferred technical solution, under the aforementioned macroscopic perspective configuration, the displayed content also includes path heat information of entrances and exits, as well as operational receivables information.

[0024] As a preferred technical solution, the following are also included:

[0025] After selecting a target device or vehicle, the status information of the target device and a preset list of interactive options are output. When the target device is a vehicle, the status information includes the license plate number, vehicle color, and dwell time. When the target device is a barrier gate device, the interactive option list includes barrier gate raising and barrier gate lowering. When the target device is a parking space intelligent management device, the status information includes the ground lock status and reservation information.

[0026] As a preferred technical solution, vehicles using the same charging mode are marked with the same color outline. The system determines whether the vehicle is parked in compliance with regulations based on the parking time and charging mode, and issues a warning message if not.

[0027] Compared with the prior art, the present invention has the following advantages:

[0028] (1) By providing a smart parking visualization method based on digital twins, matching information is displayed according to the set display configuration, which helps parking lot managers to achieve seamless, real-time and intervention-friendly integrated supervision of vehicles and smart equipment in the smart parking lot. Since different display configurations are set, supervisors can clearly obtain the information they need by switching between different configurations, thereby solving the problem that existing methods are prone to accidentally selecting other devices.

[0029] (2) This method can cope with the increasing number of smart parking equipment in the present and future, simplify the software usage of parking management personnel, integrate equipment management, video monitoring, large screen display and other functions, and provide multi-dimensional visualization.

[0030] (3) By building a smart parking visualization platform based on digital twins, it is possible to manage, control and collect information on vehicles and smart equipment in the parking lot, realize the refined management of smart parking garages, keep track of the operation of smart parking equipment in real time, promote the comprehensive efficiency of smart parking management, improve the level of smart operation of urban parking, and provide managers with a smart operation and supervision platform. Attached Figure Description

[0031] Figure 1This is a flowchart of the smart parking visualization method based on digital twins in Example 1. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] Example 1

[0034] like Figure 1 The present embodiment provides a smart parking visualization method based on digital twins, including the following steps:

[0035] Step S1: Obtain the location information of the preset smart devices in the parking lot, as well as the environmental information of the internal and external connecting roads of the parking lot. Based on the location information and environmental information, establish a digital model based on digital twin.

[0036] Step S2: Obtain sensing data from the smart devices pre-installed in the parking lot and map the sensing data into the digital model;

[0037] Step S3: Based on the set display configuration, output a matching visualization signal to realize the visualization of the parking lot.

[0038] Preferably, in step S3, the display configuration includes macroscopic view configuration, normal view configuration, and microscopic view configuration. In the macroscopic view configuration, the congestion situation is marked by color, and the congestion status information of each road in the parking lot is output. In the normal view configuration, the parking space status information is output. In the microscopic view configuration, the view information of the selected intersection is output. The view information includes road data, parking lot building data, and vehicle data within the intersection area.

[0039] This method acquires operational data of autonomous vehicles' on-board equipment in smart parking lots (including timestamps, speeds, headings, whether the vehicle is currently in autonomous or manual mode, vehicle model information, vehicle color information, license plate information, etc.) through a parking lot holographic perception system and parking lot roadside units, while also acquiring congestion information for each road inside the parking lot.

[0040] The parking lot holographic perception system collects and processes the status of traffic participants in the parking lot in real time, and provides the timestamp, traffic participant category information, traffic participant appearance feature information, traffic participant location information, speed information, heading information, etc. for each data point.

[0041] This system acquires vehicle coordinates, timestamps, and equipment operating status from the parking positioning system; it also acquires data on gate raising and lowering, timestamps, and equipment operating status from the toll collection system's gate, transmitted back to the cloud; it acquires data on the current occupancy and vacancy status of parking spaces detected by parking information collection devices (generally providing red / green color data from parking space detection cameras), timestamps, and equipment operating status; it acquires real-time dynamic guidance information on available parking spaces published by parking information publishing devices, along with equipment operating status; and it acquires data on ground lock occupancy / vacancy / battery status and equipment operating status from intelligent parking space management devices, transmitted back to the cloud.

[0042] To obtain high-precision maps of public parking lots, for autonomous vehicles, it is necessary to collect raw map data including CAD drawings, laser point cloud data or image data. Layers include, but are not limited to, public parking lot entrances and exits, vehicle parking spaces, road markings, road traffic signs, positioning and timing equipment, roadside sensing equipment, etc.

[0043] The 3D models of all the aforementioned equipment, the internal buildings of the parking lot, and the roads connecting to the outside are acquired and used in the digital twin service engine to provide 3D visualization. Digital modeling of the underground parking lot is performed, including modeling of the underground parking lot entrances and exits, road markings, parking spaces, parking lot road traffic signs, parking lot walls, parking lot ancillary safety facilities, positioning and timing equipment, and roadside holographic perception.

[0044] Based on the 3D visualization model of the aforementioned equipment and combined with the data from these devices, a data-driven real-time equipment mapping function is implemented: Real-time mapping of vehicles in the digital twin interface is achieved based on vehicle-side equipment operation data and parking lot roadside units; real-time mapping of traffic participant status in the digital twin interface is achieved based on the parking lot holographic perception system; real-time mapping of different operating states (such as disconnection, malfunction, and normal operation) of parking positioning base stations in the digital twin interface is achieved based on parking positioning base station data; real-time mapping of the gate raising and lowering process and equipment operating status (malfunction / normal) in the digital twin interface is achieved based on toll system gate data; real-time mapping of parking space occupancy status (e.g., red for occupied vehicles, green for unoccupied vehicles) in the digital twin interface is achieved based on parking information collection equipment; real-time mapping of dynamic guidance information on available parking spaces and equipment operating status in the digital twin interface is achieved based on parking information publishing equipment; and real-time mapping of parking lock occupancy (raised), non-occupancy (lowered), and equipment operating status in the digital twin interface is achieved based on data from intelligent parking space management equipment.

[0045] Preferably, after the above-mentioned device data is mapped in real time in the digital twin interface, when the parking lot cloud system receives the positioning information between the vehicle and the positioning base station, the parking lot manager can selectively track and monitor the entering autonomous vehicle from a third-person perspective based on the digital twin visualization screen, including road driving, avoidance of traffic participants, and automatic parking. At the same time, combined with the vehicle navigation information, the interface displays the planned travel route of the target vehicle in real time.

[0046] Preferably, based on the real-time mapping of the aforementioned device data in the digital twin interface, parking lot managers can view the traffic congestion situation inside the parking lot from both micro and macro perspectives within the digital twin visualization interface. From a macro perspective, they can view the overall road congestion situation inside the parking lot from a bird's-eye view, primarily displayed as lines: red indicates congestion, yellow indicates slight congestion, and green indicates smooth traffic. From a micro perspective, the screen can show the view down to a single intersection within the parking lot, detailed to the road representation, the parking lot building model, and vehicle information within the intersection area. Combining these perspectives with the actual situation, the system supports parking lot managers in real-time operation and traffic flow assurance, historical data review, and simulation analysis.

[0047] Preferably, based on the real-time mapping of the aforementioned device data in the digital twin interface, parking lot managers can interactively control the parking equipment. Clicking the 3D visualization model of the barrier gate system in the digital twin interface allows for real-time control of the barrier gate by using the raise / lower buttons. Clicking the 3D visualization model of the parking information collection device in the digital twin interface displays the monitored screen of the currently selected device, showcasing structured data such as license plate number, vehicle color, and dwell time, thus reducing the risk of human error from text and numbers, such as avoiding opening the wrong barrier. Clicking the 3D visualization model of the intelligent parking space management device in the digital twin interface displays control options for the currently selected parking lock, allowing for raising or lowering, and displaying basic information such as the current parking space number, battery level, and reservation status. By adopting a digital twin-based visualization approach, combined with a 3D interface, parking lot managers can quickly locate all parking equipment, facilitating rapid location of equipment and dispatch of personnel during maintenance, repairs, or emergencies.

[0048] Preferably, based on the real-time mapping of the aforementioned device data in the digital twin interface and its integration with the parking fee management system, parking lot managers can easily view the charging patterns of all currently parked vehicles in the parking lot through 3D visualization. Different colored outlines can be used to display long-term rental vehicles, non-long-term rental vehicles, and off-peak shared vehicles on the parking spaces. Specifically, for non-long-term rental vehicles, parking lot managers can set thresholds. When the parking time of a non-long-term rental vehicle exceeds the set threshold, a pop-up notice will automatically appear on the interface, and the parking location can be quickly located in the 3D visualization interface, facilitating subsequent management. For off-peak shared vehicles, if the parking time exceeds the daily "off-peak period" stipulated by the contracted parking lot, a pop-up notice will automatically appear on the interface, and the parking location can be quickly located in the 3D visualization interface. If necessary, parking lot managers can easily contact the owner to move the vehicle, avoiding impacting the parking of long-term rental vehicles outside of "off-peak periods," thereby improving the efficiency of parking lot management and parking space turnover.

[0049] From a macro perspective, the map comprehensively displays the heat map of parking spaces, internal roads, and entrances / exits. The sides display parking information and revenue percentages for the smart parking lot. Scrolling the mouse wheel or clicking on different areas of the map provides a meso-level view, showing the current parking situation (occupancy / vacancy, reservation status, shared parking during off-peak hours, etc.), the status of smart parking facilities (parking locks raised or lowered, green / red parking detection cameras, guide arrows and numbers on the ceiling-mounted parking guidance screen, and other equipment status). Clicking on a roadside holographic sensing device allows for a more micro-level view within the device's monitoring range, displaying real-time models of vehicles and other traffic participants in the parking garage.

[0050] This method enables real-time monitoring of the operational status of vehicles and intelligent equipment in smart parking lots through digital twin 3D visualization, achieving digital and intelligent management of various parking lot smart facilities. Through comprehensive and refined management and operation, it provides managers with detailed and visualized parking lot operation management, thereby improving the overall management efficiency and level of parking lots, perfecting the public service system of smart parking, and showcasing the image of a smart city. Furthermore, the operation of autonomous valet parking scenarios in smart parking lot construction can accelerate the large-scale deployment of autonomous vehicles in parking lots, promoting the coordinated development of intelligent connected vehicles and smart cities, and facilitating comprehensive urban perception and vehicle-city interconnection.

[0051] Example 2

[0052] This embodiment provides an electronic device, including: one or more processors and a memory, wherein the memory stores one or more programs, the one or more programs including instructions for executing the smart parking visualization method based on digital twins as described in Embodiment 1.

[0053] Example 3

[0054] This embodiment provides a computer-readable storage medium including one or more programs executable by one or more processors of an electronic device, the one or more programs including instructions for performing the smart parking visualization method based on digital twins as described in Embodiment 1.

[0055] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A digital-twin-based intelligent parking lot visualization method, characterized in that, Includes the following steps: The location information of the smart devices preset in the parking lot, as well as the environmental information of the internal and external connecting roads of the parking lot, are obtained. Based on the location information and environmental information, a digital model based on digital twin is established. Sensing data is acquired from pre-installed smart devices in the parking lot, and the sensing data is mapped into the digital model; Based on the configured display settings, matching visual signals are output. These settings include macroscopic view, normal view, and microscopic view configurations. In the macroscopic view configuration, congestion is indicated by color, and the congestion status information for each road in the parking lot is output. In the normal view configuration, parking space status information is output. In the microscopic view configuration, the view information for the selected intersection is output. This view information includes road data, parking lot building data, and vehicle data within the intersection area. If a vehicle is detected entering, the system outputs full-process tracking information, including road travel, traffic participant avoidance, and automatic parking. Based on the vehicle navigation information, it also outputs the planned travel route information for the target vehicle. After selecting a target device or vehicle, the system outputs the target device's status information and a preset list of interactive options. When the target device is a vehicle, the status information includes the license plate number, vehicle color, and dwell time. When the target device is a barrier gate, the interactive option list includes barrier gate raising and barrier gate lowering. When the target device is a parking space intelligent management device, the status information includes the parking lock status and reservation information. The smart devices include: Roadside equipment is used to acquire vehicle-side operating data of vehicles in the parking lot; Parking information collection equipment is used to obtain parking space status information; Parking information display equipment is used to obtain information on currently available parking spaces and dynamic guidance data; The intelligent berth management and control equipment is used to obtain the status information of the ground locks installed in the berths; Parking positioning base station equipment is used to acquire the operating status data of positioning base stations and the coordinate location information of vehicles in the parking lot; The barrier gate equipment is used to obtain barrier gate status information. Under the aforementioned macro-perspective configuration, the displayed content also includes heat map information of entrances and exits, as well as operational receivables information. For vehicles using the same charging model, the same color outline is used for identification. The system determines whether the vehicle is parked in compliance with regulations based on the parking time and charging model. If not, a warning message is issued.

2. The digital-twin-based intelligent parking lot visualization method according to claim 1, characterized in that, The perception data includes one or more of the following: timestamp information, traffic participant category information, traffic participant appearance feature information, traffic participant location information, speed information, and heading information.

3. The digital-twin-based intelligent parking lot visualization method according to claim 1, characterized in that, The environmental information of the parking lot's interior and external connecting roads includes a high-precision map of the parking lot obtained based on CAD drawings, laser point cloud data, and image data.

4. The digital-twin-based intelligent parking lot visualization method according to claim 3, characterized in that, The high-precision map includes one or more of the following: parking lot entrance / exit layer, vehicle parking space layer, road marking layer, road traffic sign layer, positioning and timing device layer, and roadside sensing device layer.

5. The digital-twin-based intelligent parking lot visualization method according to claim 1, characterized in that, The digital model is obtained by modeling the parking lot entrances and exits, road markings, parking spaces, parking lot road traffic signs, parking lot walls, parking lot ancillary safety facilities, positioning and timing equipment, and roadside holographic sensing equipment.

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