Parking space lock and charging pile combined anti-occupation method

Abstract

The invention relates to the field of intelligent traffic systems and new energy automobile charging services, and discloses a parking space lock and charging pile combined anti-occupying method, which comprises the following steps that S1, a small high-resolution camera or sensor is installed beside each parking space of a charging pile, the camera or sensor is connected with a charging pile system in a wireless connection mode, and the camera or sensor is connected with the charging pile system in a wireless connection mode; capturing a parking space image or vehicle position information in real time; and S2, analyzing the captured image or vehicle-mounted sensor data by using an image recognition technology or a license plate recognition technology, and automatically judging the vehicle type and recognizing the license plate number. By combining intelligent management of a parking space lock and a charging pile, an AR navigation technology and cloud platform data analysis, the parking space occupation and charging progress is monitored in real time, the parking and departure experience of a vehicle owner is optimized, and the parking space and charging pile resources are intelligently scheduled, so that the problems of lagging manual management, waste of parking space searching time, inflexible resource scheduling and the like in a traditional system are solved; and the resource utilization rate and the parking lot passing efficiency are greatly improved.

Description

Technical Field

[0001] The present invention relates to the fields of intelligent transportation systems and new energy vehicle charging services, and specifically provides a method for preventing parking space occupation by combining a parking space lock and a charging pile. Background Art

[0002] With the popularization of new energy vehicles, charging piles, as the basic infrastructure for daily use of electric vehicles, are increasing in number and usage demand. However, the utilization efficiency of charging piles is generally low, especially in places where charging facilities are concentrated but the number of parking spaces is limited, such as public parking lots, shopping malls, and residential areas. Currently, traditional charging pile management systems rely on manual inspections, timed control, or static allocation to ensure the reasonable use of parking spaces, but this method often fails to meet the dynamically changing demands in practical applications, resulting in waste of resources. At present, there are several deficiencies in the common charging pile resource management methods.

[0003] Firstly, existing parking space management systems generally use basic sensors or cameras to monitor the occupancy of parking spaces, but the response speed and accuracy of these devices often cannot meet the requirements of complex parking environments. For example, sensors and cameras can only provide basic information on whether a parking space is occupied, and the monitoring of the occupancy time of the parking space is relatively lagged, making it impossible to accurately determine whether the parking space has been occupied by non-compliant vehicles or whether the charging pile is effectively used by an electric vehicle. This causes problems such as owners often being unable to find empty parking spaces and charging piles being misoccupied when parking, resulting in waste of parking lot resources.

[0004] Secondly, the management of the usage situation of charging piles often lacks real-time monitoring and intelligent decision-making. Traditional charging pile systems simply judge the charging status by displaying the charging progress or whether it is fully charged, and cannot effectively monitor whether the owner drives away on time or whether there is a situation where a non-electric vehicle occupies the charging parking space. This management mode leads to over-occupation or retention of charging pile resources, making it impossible for other vehicles in need of charging to use the charging piles in a timely manner, especially during peak hours.

[0005] Furthermore, there is a lack of intelligent linkage between traditional payment systems and the lifting control mechanism of parking space locks. The payment function of most parking lot systems is independent of the parking space management system. After the owner pays the parking fee, the system does not unlock the parking space lock in real time, resulting in the parking space being occupied for too long and affecting the use of other vehicles. In addition, the payment process is usually manual operation, lacking automation and flexibility, which may cause delays in unlocking the parking space after payment, further affecting the turnover of parking lot resources.

[0006] In view of the deficiencies of these existing technologies, the present invention provides an intelligent charging pile resource management method, aiming to improve the utilization efficiency of charging pile resources, optimize parking space management, and enhance the user experience. Summary of the Invention

[0007] In view of the deficiencies of the prior art, the present invention provides a method for preventing occupancy by combining a parking lock with a charging pile, which solves the problems of inaccurate monitoring of parking space occupancy, waste of charging pile resources, poor traffic flow in the parking lot, and lack of intelligence in the linkage between the parking lock control and the payment system in the traditional parking space management system.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for preventing occupancy by combining a parking lock with a charging pile, comprising the following steps: S1. Install a small high-resolution camera or sensor beside each parking space of the charging pile. The camera or sensor is connected to the charging pile system through a wireless connection method to capture the parking space image or vehicle position information in real time; S2. Use image recognition technology or license plate recognition technology to analyze the captured image or in-vehicle sensor data, and automatically judge the vehicle type and identify the license plate number; S3. Upload the vehicle recognition result and parking space occupancy information to the cloud platform and synchronize it in real time with the usage status of the charging pile; S4. Judge whether to activate the lifting of the parking lock according to the parking space occupancy and charging progress. When the charging is completed and the vehicle owner does not move the vehicle in time, the parking lock rises; S5. After the vehicle owner pays the parking fee, the payment system confirms through scan code payment. After the payment is successful, the parking lock automatically descends, and the vehicle owner can drive away from the parking space; S6. Upload the parking space occupancy, charging progress, and payment record information to the cloud in real time through the Internet of Things platform and perform data analysis to optimize the utilization efficiency of parking space management and charging pile resources; S7. Introduce intelligent sensors to monitor the surrounding environment in real time and adjust the parking space management system; S8. When the vehicle owner drives away on time and has not completed charging, the parking space management system automatically reminds the vehicle owner to complete charging as soon as possible to avoid detention by identifying the power status of the charging pile; S9. Combine augmented reality technology to provide real-time navigation for vehicle owners to help vehicle owners quickly locate and guide them to available charging parking spaces; S10. After the vehicle owner completes charging, the system guides the vehicle owner to drive away from the parking space through AR navigation to optimize the traffic flow inside the parking lot.

[0009] Preferably, the parking lock lifting control step in step S4 includes the following steps: S4.1. Judge whether to activate the rising of the parking lock according to the vehicle type; S4.2. When the electric vehicle charging is completed and not moved in time, the parking lock rises and sends a charging completion reminder to the vehicle owner; S4.3. When a fuel vehicle occupies a charging parking space, the parking space lock immediately rises and prompts the vehicle owner to pay the parking fee.

[0010] Preferably, the payment system in step S5 includes the following steps: S5.1. The vehicle owner scans the QR code on the parking space to enter the payment page; S5.2. The vehicle owner confirms the parking duration and charging duration, and completes the payment of the parking fee through the payment platform; S5.3. After the payment is confirmed, the system automatically unlocks the parking space lock and allows the vehicle owner to drive away from the parking space.

[0011] Preferably, step S6 specifically includes the following steps: S6.1. Through the Internet of Things technology, the parking space occupancy status, charging pile status, and vehicle owner payment record information are uploaded to the cloud in real time; S6.2. The cloud platform processes and analyzes the uploaded data in real time, and optimizes the parking space management based on the parking space occupancy data and charging progress; S6.3. According to the data analysis results, the system automatically adjusts the parking space allocation and optimizes the charging pile layout.

[0012] Preferably, the specific methods for the cloud platform to process and analyze the uploaded data in step S6.2 include: S6.21. Analyze the parking space occupancy data to identify the usage frequency of the parking space, idle periods, and vehicle owner parking behavior patterns, and predict future parking space demands; S6.22. Combine the charging progress data to track the usage of the charging piles in real time and optimize the parking space scheduling; S6.23. Based on the analysis results, the cloud platform dynamically adjusts the parking space allocation strategy through intelligent scheduling algorithms and recommends idle parking spaces to vehicle owners; S6.24. Predict the peak periods of charging demand through data analysis, allocate resources in advance, and adjust the working mode of the parking space lock to adapt to different parking space demand patterns.

[0013] Preferably, the lifting and lowering control of the parking space lock in step S4 is remotely controlled by an intelligent scheduling system, and its specific control is through the following steps: Dynamically adjust the activation frequency of the parking space lock according to the parking space usage frequency, vehicle owner parking habits, and charging duration, and reduce the interference of the parking space lock when the parking space is frequently used; Increase the locking intensity of the parking space lock when the parking space usage frequency is low or the parking space has not been used for a long time.

[0014] Preferably, the real-time monitoring of the surrounding environment by the intelligent sensor in step S7 includes the following contents: S7.1. The impact of weather conditions on parking space demand; S7.2, Influence of traffic flow and parking flow on parking space occupancy rate; S7.3, Real-time monitoring and dynamic adjustment of other occupied parking spaces around the charging pile.

[0015] Preferably, the specific steps of S9 are as follows: S9.1, When the vehicle owner drives into the parking area, the parking space management system automatically identifies the current location of the vehicle owner through in-vehicle devices, smartphones or in-vehicle navigation systems, and transmits this information to the cloud platform in real time for processing; S9.2, The cloud platform generates a real-time path guidance for the vehicle owner using AR technology based on the real-time parking space occupancy information of the current parking lot and the location of the vehicle owner. The path guidance will be visually displayed on the intelligent device or in-vehicle navigation screen of the vehicle owner to ensure that the vehicle owner can see the optimal route to the idle charging parking space; S9.3, The parking space management system will intelligently adjust the recommended path according to the dynamic situation of the parking lot, including traffic flow, the number of idle parking spaces and the parking habits of vehicle owners; S9.4, When the vehicle owner approaches an idle parking space, the AR navigation guidance module will automatically highlight the parking space and provide more accurate navigation guidance to ensure that the vehicle owner can quickly and accurately park in the charging parking space; S9.5, If the vehicle owner fails to accurately park in the parking space during the parking process, the parking space management system provides additional auxiliary guidance through the AR screen to help the vehicle owner accurately park in the parking space.

[0016] Preferably, the specific steps of S10 are as follows: S10.1, When the vehicle owner's charging is completed, the system detects the charging status through the charging pile and automatically pushes a prompt message to the intelligent device or in-vehicle device of the vehicle owner, informing the vehicle owner that the charging has been completed and the vehicle owner can prepare to leave the parking space; S10.2, After the parking space management system receives the prompt to leave the parking space from the vehicle owner, it automatically guides the vehicle owner to drive out of the charging parking space through AR navigation; S10.3, The parking space management system calculates and optimizes the departure route according to the real-time traffic flow information of the parking lot. For areas with dense traffic flow, the parking space management system will provide an alternative departure path to avoid traffic congestion for the vehicle owner; S10.4, During the process of the vehicle owner driving away, the AR navigation guidance module will provide real-time traffic flow tips to help the vehicle owner select the best lane and driving speed, further optimizing the traffic fluency inside the parking lot; S10.5, When the vehicle owner completes driving away from the parking space and starts driving, the AR navigation guidance module will automatically cancel the marking of the parking space and update the parking space occupancy status, and notify the system cloud platform to update the parking space data for other vehicle owners to query in real time; S10.6. If the vehicle owner encounters traffic or congestion problems at the parking lot exit during the process of leaving the parking space, the parking space management system can use AR to prompt the vehicle owner to avoid the congested area and provide the vehicle owner with real-time traffic flow information to further optimize the traffic flow management at the entrance and exit of the parking lot.

[0017] Preferably, the parking space management system includes the following modules: Parking space identification and occupancy monitoring module, which is used to monitor the status of each parking space in the parking lot and provide real-time data support for subsequent functions such as parking space guidance, vehicle owner behavior analysis, and parking space scheduling; AR navigation guidance module, which is used to provide path guidance for vehicle owners in the parking lot and optimize the departure path; Cloud platform and data processing module, which is used to process and analyze parking space, charging pile, and vehicle owner behavior data, optimize the allocation of parking spaces and charging resources, and ensure that the AR navigation module obtains real-time and accurate parking space information; Traffic flow monitoring and optimization module, which is used to monitor and analyze the traffic flow in the parking lot in real time and optimize the paths of vehicle owners in the parking lot and the departure routes; Vehicle owner behavior feedback module, which is used to analyze the parking behavior of vehicle owners and provide recommended services according to the personalized needs of vehicle owners; Parking space lock lifting control module, which is used to control the lifting of the parking space lock to prevent the charging pile from being improperly occupied.

[0018] The present invention provides a method for preventing occupation of a parking space lock combined with a charging pile. It has the following beneficial effects: 1. The present invention adopts a combined technical solution of intelligent management of parking space locks and charging piles, achieving the effect of real-time monitoring of parking space occupancy and charging progress. By installing small high-resolution cameras and sensors, parking space information is uploaded to the cloud platform in real time for processing and synchronization, ensuring the efficient utilization of charging pile resources. Compared with the existing solutions that rely solely on manual management or basic equipment monitoring, the present invention solves the problems of poor timeliness and slow response of manual management and improves the intelligent and automated level of resource management.

[0019] 2. The present invention introduces AR navigation technology, achieving the effect of optimizing the parking and departure experience of vehicle owners. Vehicle owners can obtain real-time path guidance through AR technology, quickly find available charging parking spaces and leave smoothly. Compared with traditional parking guidance methods, AR navigation not only provides a more intuitive visual experience but also can dynamically adjust the path according to factors such as real-time traffic flow and parking space occupancy, avoiding the time waste of vehicle owners repeatedly searching for parking spaces in the parking lot and improving the overall traffic efficiency of the parking lot.

[0020] 3. The present invention combines cloud platform data analysis and intelligent scheduling modules, achieving an efficient optimization effect of parking space and charging pile resource scheduling. The system automatically adjusts parking space allocation and charging pile layout based on information such as historical data, vehicle owner behavior, and traffic flow, reducing the phenomenon of idle or over-occupied parking spaces. Compared with the existing parking space management methods that rely on manual or fixed modes, the present invention solves the problems of inflexible resource scheduling and inability to respond to sudden demands in real time, significantly improving the utilization rate of parking spaces and the resource allocation efficiency of charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Please refer to the attached Figure 1 , the embodiments of the present invention provide a method for preventing occupation of a parking lock combined with a charging pile, including the following steps: S1. Install a small high-resolution camera or sensor beside each parking space of the charging pile. The camera or sensor is connected to the charging pile system through a wireless connection method to capture parking space images or vehicle position information in real time; In this embodiment, the installation position of the camera or sensor is generally set above or at the edge of the parking space to facilitate capturing the full view image of the parking space. Usually, the installed camera or sensor needs to have the characteristics of high resolution (for example, 1080p or higher) and high sensitivity to ensure clear shooting of parking space images or accurate capture of vehicle position information under different lighting conditions. The selection of the camera or sensor can be adjusted according to the specific application scenario. For example, in strong light or low light environments, the camera needs to have an automatic exposure adjustment function to ensure image clarity; in rainy, snowy or foggy environments, the sensor can adopt a waterproof and dustproof design and have anti-interference capabilities.

[0024] As an option, the camera or sensor can be connected to the charging pile system through wireless methods such as Wi-Fi or Bluetooth for real-time data transmission. This wireless connection method can achieve remote monitoring and information uploading of the charging pile parking spaces, and at the same time avoid the use of cables, making the installation more convenient and reducing the deployment cost.

[0025] Specifically, the installation angle of the camera should be reasonably designed according to the spatial layout and actual requirements of the parking space. For example, in the case of a single parking space, the shooting angle of the camera can be set from 30° to 60° to cover the entire parking space area. In a multi-parking space environment, multiple cameras can be precisely arranged to achieve comprehensive monitoring of the parking spaces. In some special cases, if the usage environment of the parking space is relatively complex, a ring camera or a camera with a 360-degree panoramic view can be used to enhance the accuracy and breadth of image capture.

[0026] In a possible implementation, the sensor can be selected from ultrasonic sensors, infrared sensors or lidar sensors to assist in image capture work. The ultrasonic sensor can judge the position information of the vehicle through the reflection of sound waves, the infrared sensor can work in low-light environments, and the lidar sensor can achieve more accurate ranging and positioning in complex environments. These sensors are connected to the charging pile system through a data interface, and transmit the detected vehicle position, occupancy status and other data to the central management system in real time to ensure the real-time update of the parking space status.

[0027] Generally, after the parking space image or sensor data is uploaded to the charging pile system, the system will conduct a preliminary analysis of the data through a data processing platform, and further identify key information such as vehicle type and license plate number in combination with subsequent steps. This process provides basic data support for key steps such as subsequent vehicle type judgment, owner reminder, and parking space lock control.

[0028] S2. Use image recognition technology or license plate recognition technology to analyze the captured images or in-vehicle sensor data, and automatically judge the vehicle type and identify the license plate number; In the previous step S1, a small high-resolution camera or sensor has been installed beside each parking space of the charging pile to capture the parking space image or vehicle position information in real time. These real-time acquired images or sensor data provide the basis for the next vehicle recognition and judgment. In order to further realize the intelligent management of the parking space, using image recognition technology or license plate recognition technology to analyze these captured data and automatically judge the vehicle type and identify the license plate number becomes a key link.

[0029] In this embodiment, image recognition technology or license plate recognition technology is applied to process the captured images or sensor data. First, through image recognition technology or license plate recognition technology, the system can accurately identify the type of vehicle (for example, electric vehicle or fuel vehicle) and the license plate number of the vehicle. This step, through the processing of the image or sensor data, will effectively judge whether the parking space is occupied and classify the vehicle type, so as to provide the necessary data support for subsequent functions such as parking space lock control and charging progress monitoring.

[0030] Under normal circumstances, the image data provided by in-vehicle sensors or cameras will be transmitted to an image processing module, which analyzes the images using specialized image recognition or license plate recognition algorithms. In this process, image recognition technology typically involves using convolutional neural networks (CNNs) or other deep learning methods for image feature extraction and classification. In some embodiments, in combination with computer vision technology, the license plate area is first located through a region extraction algorithm (such as YOLO or Faster R-CNN), and then the license plate number is read through a license plate recognition model (such as CRNN) to obtain vehicle information.

[0031] As an option, the identification of vehicle types can be initially distinguished by vehicle appearance features or license plate colors (for example, green license plates indicate electric vehicles, and blue license plates indicate fuel vehicles). In addition, in combination with deep learning models in image recognition technology, such as convolutional neural networks (CNNs), the recognition accuracy can be improved under high noise, complex lighting, or adverse weather conditions. During the license plate recognition process, different character recognition technologies are adopted for different license plate types to further improve the accuracy of license plate numbers.

[0032] Specifically, the image data or sensor data will first be preprocessed to remove noise and enhance the image quality. Then, the system locates the license plate area through image processing algorithms (such as edge detection and image segmentation). For the captured vehicle images, the system will identify the license plate area and extract the license plate number through a trained character recognition model. At this time, the vehicle type and license plate number of the vehicle owner will be accurately recognized and uploaded to the system.

[0033] In a possible implementation, image recognition and license plate recognition technologies can also be combined with other sensor data (such as infrared sensors or lidar sensors) for precise vehicle positioning and determination of parking space occupancy status. The sensor data helps to enhance the stability and accuracy of image recognition in nighttime or low-light environments, ensuring the all-weather operation of the system.

[0034] In this embodiment, the accuracy of image recognition technology is crucial for the accuracy of the system. To improve the accuracy of parking space occupancy determination, the system can also optimize the recognition algorithm by training with historical data. Specifically, in combination with information such as the vehicle owner's behavior pattern and vehicle parking time, the system can further enhance the intelligent level of parking space management. For example, when a vehicle owner frequently parks in certain specific parking spaces, the system can identify the vehicle owner and determine whether to charge for parking or limit the time for raising the parking space lock through preset rules.

[0035] Specifically, the recognition process includes the following technical key points: Image processing: Use deep learning algorithms to extract features from parking space images, and perform multi-level feature analysis on the images through a convolutional neural network (CNN) to achieve high-precision license plate recognition.

[0036] License plate area localization and character recognition: Detect the license plate area through area extraction techniques (such as YOLO), and then use character recognition techniques (such as CRNN) to recognize the license plate number.

[0037] Deep learning model optimization: Use a trained neural network model for license plate recognition, and continuously optimize it in combination with historical data to improve the recognition accuracy and the ability to adapt to different environments.

[0038] In some embodiments, to enhance the robustness of the system, the license plate recognition system can also perform multi-stage processing. First, segment the input image to extract the license plate area; then, use deep learning algorithms to extract the features of the license plate characters, and finally output the license plate number. Through continuous training and optimization, this process enables the system to adapt to license plate recognition under different angles and different lighting conditions.

[0039] For example, use a convolutional neural network (CNN) to extract the features of license plate characters, and finally perform recognition and classification through a fully connected layer. Each character of the license plate can be predicted one by one through the neural network, and finally the license plate number is synthesized. To improve the accuracy, image enhancement techniques such as contrast enhancement and denoising can also be introduced to improve the quality of the image.

[0040] As an extension, the system can also combine the license plate number of the vehicle owner with the historical parking behavior pattern to determine whether it is a frequently used parking space or whether there is a detained vehicle owner, and further realize the dynamic optimal allocation of parking space resources.

[0041] S3. Upload the vehicle recognition result and the parking space occupancy information to the cloud platform and synchronize them in real time with the usage status of the charging pile; in this embodiment, the collected vehicle recognition results (such as license plate number, vehicle type), parking space occupancy information (such as whether it is occupied, parking space usage duration), and the real-time usage status of the charging pile (such as whether the charging is completed) will be uploaded through Internet of Things technology. These information will be stored in the cloud platform for subsequent data analysis and resource scheduling. At the same time, the cloud platform will also feedback the latest status of the charging pile and the parking space occupancy situation to the system in real time through the real-time synchronization function to ensure the real-time and accuracy of the charging pile management.

[0042] Generally, this data is transmitted to the cloud via wireless networks (such as Wi-Fi, 4G, 5G, etc.) to ensure efficient data transmission and low-latency response. In system design, the transmitted data is not limited to the type and license plate number of the vehicle, but also includes parking time, charging progress, parking space occupancy status and other information. The real-time upload and processing of this information can provide the system with more accurate parking space management support.

[0043] As an option, the uploaded data can also be protected by encryption and security protocols to ensure that vehicle information and owner privacy are not leaked. This part can use existing encryption technologies (such as TLS, SSL, etc.) to ensure the security of data during transmission.

[0044] Specifically, the uploaded data will be aggregated, stored and managed in the cloud platform. The cloud platform will update the parking space usage information in real time according to the parking space occupancy status and charging progress, and synchronize the status of the charging piles with the parking space occupancy to provide real-time data support for the intelligent scheduling system. Through this real-time synchronization, the system can accurately determine which parking spaces are occupied, which charging piles are charging, and which charging piles have completed charging and are available for the next car to use.

[0045] In one possible implementation, the cloud platform will also combine historical data, car owners' parking behavior and parking space usage patterns to conduct further data analysis and prediction. For example, by analyzing data such as the frequency of parking space use and the length of time charging piles are occupied, the system can predict parking space demand during certain time periods or at specific locations, and schedule charging pile resources in advance. This data-driven optimization will significantly improve the resource utilization of charging piles and reduce the phenomenon of idle and over-occupied parking spaces.

[0046] In order to improve the response speed and real-time performance of the system, the cloud platform can also delegate some data processing functions to edge devices closer to the charging piles through edge computing. For example, vehicle license plate recognition and parking space occupancy judgment can be completed on local devices instead of uploading large amounts of image data to the cloud. This not only reduces the data burden on the cloud, but also effectively reduces the system's response time and improves user experience.

[0047] In some embodiments, the real-time synchronization function of the cloud platform can also be linked with the owner's smartphone application (APP) to provide the owner with real-time updates on the status of the charging pile. For example, when the owner parks and completes charging, the system can push a notification through the APP to remind the owner to move the vehicle as soon as possible to free up the parking space. In this way, the owner can obtain parking space status and charging progress information at any time, improving the convenience of use and the utilization efficiency of the charging pile.

[0048] In this step, the efficient data synchronization and real-time processing capabilities of the cloud platform provide accurate data support for subsequent steps (such as parking lock control, payment management, etc.). Specifically, the real-time upload of parking occupancy and charging status information ensures that the charging pile management system can promptly respond to the usage of parking spaces, thereby realizing the dynamic lifting and lowering of parking locks, payment reminders for vehicle owners, and intelligent scheduling of charging pile resources.

[0049] S4. Determine whether to activate the lifting and lowering of the parking lock based on the parking occupancy and charging progress. When charging is completed and the vehicle owner fails to move the vehicle in a timely manner, the parking lock rises. In this embodiment, when the charging progress of the charging pile reaches the completion standard and the vehicle owner fails to drive away from the parking space within the specified time, the parking lock will be activated to rise. Specifically, the lifting and lowering control of the parking lock is achieved through an intelligent scheduling system, which makes judgments based on the real-time uploaded charging progress and parking occupancy information. Once it is confirmed that the charging is completed and the vehicle has not been moved, the system will automatically activate the mechanism for the parking lock to rise and remind the vehicle owner to drive away as soon as possible through the notification function to avoid waste of parking space resources.

[0050] Generally, the judgment basis for the rising of the parking lock includes the charging status of the charging pile and the parking occupancy. When the vehicle is in the charging state, the system will continuously track the charging progress and monitor in real time whether the charging is completed. After the charging is completed, the system will judge whether there is a situation where the vehicle owner fails to move the vehicle on time according to the preset time threshold. If the time threshold is exceeded, the parking lock will automatically rise to prevent the continued occupation of this parking space.

[0051] As an option, the system can also adjust the time threshold according to different scenarios. For example, in commercial areas or peak hours, the lifting and lowering operations of the parking lock may be more sensitive, that is, the parking lock will automatically rise within a shorter time after the charging is completed; while in low-usage periods, the time threshold can be extended to avoid excessive interference with vehicle owners.

[0052] In a possible implementation manner, after the parking lock rises, the system will send a notification to the vehicle owner to remind him / her to move the vehicle as soon as possible. This notification can be pushed through the mobile APP, SMS or the charging pile terminal, and the notification content includes information such as the parking lock has risen, parking overtime, and additional fees need to be paid, etc., to ensure that the vehicle owner knows the reason for the rising of the parking lock in a timely manner.

[0053] In this embodiment, the control of the rising of the parking lock is closely combined with the real-time transmission of the charging progress and parking occupancy information. Through the collaborative work of the cloud platform and the intelligent scheduling system, the efficient utilization of charging pile resources is realized. When the charging is completed and the vehicle owner fails to move the vehicle in a timely manner, the automatic rising of the parking lock effectively prevents the waste of parking space resources and provides an intelligent solution for the management of charging piles.

[0054] In another implementation, if the system detects that a non-electric vehicle (such as a fuel vehicle) occupies a charging parking space, the parking space lock will also rise. The system will prompt the vehicle owner to pay the parking fee and unlock the parking space. This mechanism can combine license plate recognition technology and vehicle type judgment technology to identify whether it is a non-electric vehicle. The non-electric vehicle occupying the charging parking space will trigger the parking space lock to rise and require payment of the parking fee, ensuring the reasonable allocation of charging pile resources.

[0055] Specifically, the system makes judgments through the following several data inputs: Parking space occupancy status: Determine whether the parking space is occupied through image recognition and sensor data, and combine vehicle type judgment to determine whether the use of the parking space complies with regulations.

[0056] Charging progress: Real-time synchronize the charging progress through the interface with the charging pile. Once the charging is completed, it will trigger the judgment of the rising of the parking space lock.

[0057] In some embodiments, the system may also dynamically adjust the lifting operation of the parking space lock according to the actual usage situation (such as peak or off-peak periods). Specifically, when the system detects that the demand for charging parking spaces is large, it may shorten the time threshold for the parking space lock to rise after charging is completed, thereby increasing the turnover rate of the use of the parking space.

[0058] S5. After the vehicle owner pays the parking fee, the payment system confirms through code scanning payment. After successful payment, the parking space lock automatically descends, and the vehicle owner can drive away from the parking space; In this embodiment, the payment process is realized through code scanning payment. After the vehicle owner finishes charging and parking, the parking space lock rises, and the vehicle owner scans the code through the two-dimensional code above the parking space for payment. After the payment system receives the vehicle owner's code scanning, it displays the detailed information of the parking fee and charging duration. After the vehicle owner confirms, the vehicle owner makes a payment through a payment platform (such as WeChat Pay, Alipay, etc.). After successful payment, the payment system sends an instruction to the parking space lock control system, and the parking space lock automatically descends, and the vehicle owner can drive away freely.

[0059] Generally, the payment process is closely related to the parking space lock control system. When the parking space lock rises, the vehicle owner enters the payment page by scanning the two-dimensional code on the parking space or using the self-service terminal of the charging pile, and confirms the fee to be paid. These fees include the parking duration and charging time, and the system automatically calculates the fees and displays them to the vehicle owner. After the vehicle owner confirms the payment, the payment system conducts data interaction with the backend charging pile system to ensure the accuracy of the payment amount.

[0060] As an option, the system can provide different payment channels according to the vehicle owner's payment method (such as Alipay, WeChat Pay, etc.). In addition, the payment platform will encrypt the security of the payment to ensure that the vehicle owner's payment information is not leaked and provide record support for subsequent bill management.

[0061] In a possible implementation, the system can also provide additional functions during the payment process, such as coupon or points deduction. For example, after the car owner completes the payment through the payment platform, they can use points or coupons to reduce a part of the parking fee. This method can further enhance the car owner's usage experience and improve user satisfaction.

[0062] In this embodiment, the control signal for unlocking the parking lock is sent by the intelligent scheduling system. The system obtains relevant information about the car owner's payment through its connection with the charging pile and transmits the payment completion signal to the parking lock. After successful payment, the parking lock automatically descends within a few seconds, allowing the car owner to drive away from the parking space smoothly. This process remotely controls the parking lock through the intelligent scheduling system to ensure the reasonable circulation of parking space resources.

[0063] In addition, the operation of the payment system can also be optimized through an automated electronic invoice generation module. After the payment is completed, the system can automatically generate an electronic invoice or payment voucher and send it to the car owner via the mobile APP or email as a proof of the transaction record. This function can improve management efficiency and facilitate the car owner to query the payment history.

[0064] As an extension, the system can also introduce an intelligent scheduling function to adjust the scheduling strategy of the parking space in advance according to the car owner's payment situation and parking space usage requirements. For example, after the car owner makes a payment, if the car owner does not drive away in time, the system can send a reminder message to urge the car owner to move the car as soon as possible within the set time.

[0065] S6. Real-time upload the parking space occupancy, charging progress, and payment record information to the cloud through the Internet of Things platform and conduct data analysis to optimize the utilization efficiency of parking space management and charging pile resources; In this embodiment, the Internet of Things technology uploads the parking space occupancy information, charging progress data, and payment records to the cloud platform in real time through the wireless communication network (such as Wi-Fi, 4G / 5G, etc.) between devices. The cloud platform is not only used to store this information but also responsible for real-time processing and analysis of the uploaded data. The processing ability and data analysis function of the cloud platform ensure the intelligent management of the system and can continuously optimize the utilization efficiency of parking space resources and charging piles.

[0066] Generally, after the data is uploaded to the cloud, the cloud platform will conduct data aggregation, processing, and analysis. The uploaded data includes the parking space occupancy situation, the charging status of the charging pile, the payment completion situation, etc. This data provides information on the usage of charging pile resources and the utilization rate of parking spaces for the system, so that the parking space allocation strategy can be adjusted according to the real-time data, the charging pile layout can be optimized, and the situation of parking space idleness or over-occupation can be avoided. The analysis module of the cloud platform will conduct in-depth analysis of the data from dimensions such as the usage duration of the parking space, the charging completion situation, and the car owner's payment situation to further optimize the resource scheduling of the system.

[0067] As an option, the data analysis performed by the cloud platform after data upload also includes predictions of parking space usage frequency, idle periods, and vehicle owner behavior patterns. These analysis results can help the system better understand the parking space demand trend and make preparations in advance for the allocation of charging pile resources and the control of parking space locks. For example, during peak charging pile usage hours, the system can adjust the allocation of parking spaces in advance to ensure the efficient utilization of charging piles and parking spaces.

[0068] In a possible implementation, based on the analysis of parking space usage patterns, the cloud platform can also implement an intelligent scheduling algorithm. Through big data and machine learning technologies, this algorithm can not only perform real-time scheduling of parking spaces but also predict future parking space demands and allocate resources. The system will automatically adjust the parking space allocation strategy according to the data analysis results, recommend available parking spaces to vehicle owners, reduce the time for vehicle owners to search for parking spaces, and improve the turnover efficiency of charging piles.

[0069] In this embodiment, the results of data analysis can also provide decision-making support for charging pile operators. By analyzing the occupancy of parking spaces and the usage of charging piles, operators can adjust the deployment of charging piles according to different regional demands, further improving the scientificity and rationality of resource allocation.

[0070] As an extension, the system can also optimize the system according to the data analysis results. For example, by predicting vehicle owners' parking and charging habits, the system can dynamically adjust the lifting time of parking space locks. For example, during high-demand periods, the parking space locks may automatically rise to remind vehicle owners to move their vehicles in a timely manner; while during low-demand periods, the lifting of parking space locks may be delayed, thus reducing the disturbance to vehicle owners.

[0071] S7. Introduce intelligent sensors to monitor the surrounding environment in real time and adjust the parking space management system; In this embodiment, the intelligent sensors are integrated into the charging pile system to monitor environmental factors in real time, including external factors such as weather conditions, vehicle flow, and parking flow that affect the use of parking spaces. These sensors can transmit environmental information to the cloud platform through the Internet of Things platform according to the data collected in real time and make necessary adjustments to the parking space management system. For example, the system can adjust the lifting and lowering strategy of parking space locks according to the monitored weather changes or vehicle flow fluctuations, further optimizing the resource allocation of charging piles.

[0072] Generally, the content of environmental monitoring includes but is not limited to the following aspects: Monitoring of weather conditions: The intelligent sensors can detect weather conditions (such as temperature, humidity, precipitation, etc.) in real time and adjust the parking space management according to these factors. For example, in heavy rain or snowy weather, vehicle owners may tend to stay for a longer time, and the system can appropriately extend the activation time of the parking space lock according to the weather conditions.

[0073] Traffic flow and parking flow monitoring: By monitoring the changes in the surrounding traffic flow and parking flow in real time, the system can timely identify the peak and trough periods of charging demand, so as to carry out dynamic resource allocation. When the traffic flow is large, the parking space lock may be lifted in advance, and the vehicle owner will be reminded to move the vehicle as soon as possible to vacate the vacant parking space.

[0074] Dynamic adjustment of the parking spaces around the charging piles: In the case of multiple charging piles being used simultaneously, the intelligent sensors can automatically adjust the parking space allocation according to the actual use of the parking spaces. For example, when multiple parking spaces are occupied, the system can intelligently schedule and preferentially allocate to the electric vehicles that are charging, avoiding the waste of parking spaces.

[0075] As an option, the types of intelligent sensors can include temperature and humidity sensors, infrared sensors, radar sensors, video surveillance sensors, etc. Different types of sensors can efficiently perceive and collect data for different environmental factors, ensuring the precise regulation of the parking space management system.

[0076] Specifically, the intelligent sensors will make real-time adjustments to the parking space management system according to the following conditions: Influence of weather conditions: For example, in heavy rain or cold weather conditions, vehicle owners may tend to park for a long time. The system can detect the weather changes and adjust the lifting and lowering frequency of the parking space lock or extend the standby time of the parking space lock according to the weather information.

[0077] Traffic flow monitoring during peak hours: During peak traffic hours, the parking space management system will automatically increase the activation frequency of the parking space lock to ensure that the charging parking spaces are not occupied by non-electric vehicles, and at the same time remind the vehicle owners to move the vehicle as soon as possible. According to the real-time monitored traffic flow data, the lifting and lowering time of the parking space lock may be more flexible.

[0078] In a possible implementation, the sensor data will be transmitted to the cloud through the Internet of Things platform for real-time processing. The cloud platform analyzes these data and feeds back the results to the parking space management system. At this time, the system makes decisions according to the analysis results and adjusts the working state of the parking space lock. For example, if the traffic flow suddenly increases, the parking space management system will perceive the change in demand in advance and optimize the parking space allocation through the system's scheduling algorithm.

[0079] As an extension, the system can also predict the trends of traffic flow and parking flow through historical data, and optimize the resource allocation strategy based on the prediction results. For example, in some areas where the parking space usage demand is large, the system can allocate the charging pile resources to these high-demand areas in advance, thereby reducing the vacancy rate of parking spaces and improving the turnover efficiency of charging piles.

[0080] S8. When the vehicle owner drives away on time without completing the charging, the parking space management system automatically reminds the vehicle owner to complete the charging as soon as possible to avoid overstaying by identifying the power status of the charging pile.

[0081] In this embodiment, the parking space management system identifies whether there is an incomplete charging situation by monitoring the power status of the charging pile in real time. By integrating with the interface system of the charging pile, the system can obtain the charging status of the current charging pile, including information such as the percentage of power, charging duration, charging start and end times, etc. When the system detects that the charging is incomplete and the vehicle owner has driven away, the parking space management system will automatically send a reminder notice to remind the vehicle owner to return and continue charging to ensure that the vehicle's battery can be fully charged.

[0082] Generally, the power status of the charging pile is provided by the monitoring module of the charging pile itself, and the system judges whether the charging end standard has been reached according to the charging progress. Once the charging progress does not meet the charging standard and the vehicle owner has driven away, the system will actively transmit the power status of the charging pile to the vehicle owner's smartphone APP through the cloud platform or send reminder information by other means (such as text messages, terminal screens, etc.). The system will clearly inform the vehicle owner that the power of their vehicle has not been fully charged and prompt the vehicle owner to return to complete the charging.

[0083] As an option, the system can also predict future possible charging requirements based on the power status of the charging pile and the vehicle owner's parking behavior. For example, the system can predict the vehicle owner's regular charging behavior through historical charging data and optimize the charging time and power of the charging pile in advance to reduce the situation where the vehicle owner leaves early without completing the charging.

[0084] Specifically, when the parking space management system identifies that the vehicle owner has not completed the charging, the following operation steps are taken: Charging pile power monitoring: The system obtains the power status of the charging pile in real time and analyzes whether the charging has been completed. Through the power data fed back by the battery management system (BMS) in the charging pile, the system can calculate whether the current charging progress matches the set charging target.

[0085] Vehicle owner departure detection: Combining the vehicle owner's parking behavior information uploaded in the previous step S3, the system judges whether the vehicle owner has left early. If the system identifies that the charging is incomplete and the vehicle has left the parking space, the system will promptly trigger a reminder to the vehicle owner.

[0086] Automatic reminder function: The system sends reminder information about incomplete charging to the vehicle owner through means such as the smartphone APP, text messages, and the vehicle owner's terminal. The reminder information includes the current power of the vehicle, the remaining charging duration, and the necessity to return to the charging pile.

[0087] In a possible implementation, the system can not only monitor the situation where charging is not completed, but also analyze the charging demand through intelligent algorithms. For example, the system can learn the charging habits of the vehicle owner based on historical data, automatically determine whether the vehicle owner has the tendency to leave earlier than expected, and then dynamically adjust the reminder mechanism. If the system predicts that the charging completion time is approaching, but the vehicle owner does not arrive on time, the system will increase the reminder frequency to ensure that the vehicle owner is aware of the state that the battery is not fully charged.

[0088] In addition, the system can also enable a delayed charging fee mechanism when the vehicle owner leaves the parking space without completing charging. According to the charging time and the vehicle owner's stay time, the system can automatically calculate the additional fee and prompt the vehicle owner to pay. This method not only encourages the vehicle owner to complete charging on time, but also ensures the reasonable utilization of the charging pile resources and reduces the waste of the idle time of the charging pile.

[0089] In some embodiments, the system can also predict the peak charging period based on the usage frequency of the charging pile and the parking flow, and provide dynamic charging position adjustment suggestions when the vehicle owner has not completed charging. If a certain charging pile has a high demand, the system will prompt the vehicle owner to try other available charging piles, so as to alleviate the problem of over-occupation of specific parking spaces.

[0090] S9. Provide real-time navigation for the vehicle owner in combination with augmented reality technology to help the vehicle owner quickly locate and guide to an available charging parking space; In this embodiment, in combination with the technical solutions of the foregoing steps S1, S2, S3, and S4, augmented reality (AR) technology is used to provide real-time navigation for the vehicle owner to help the vehicle owner quickly find an idle charging parking space and guide to the target parking space. Specifically, based on steps such as parking space identification, charging progress monitoring, and parking space management, the system conducts real-time interaction between the vehicle owner's intelligent device (such as a smartphone or an in-vehicle navigation system) and the charging parking spaces and traffic flow information in the parking lot, dynamically calculates the optimal path, and visually displays the navigation information on the screen of the vehicle owner's device through AR navigation technology.

[0091] In this embodiment, the working process of the AR navigation system includes the following technical implementation methods: Real-time data acquisition and path calculation: When the vehicle owner approaches the parking lot, the system obtains the vehicle owner's current position P through the GPS or Bluetooth positioning module of the vehicle owner's intelligent device current .

[0092] The system conducts real-time data exchange with the cloud platform through wireless communication (such as Wi-Fi, Bluetooth, 5G, etc.) to obtain the occupancy status of each parking space in the parking lot and the usage progress of the charging piles.

[0093] Based on the vehicle owner's current position and the idle information of the charging parking spaces, the system calculates the path from P current to the idle parking space P destinationThe optimal path. This path not only considers the shortest distance but also factors such as traffic flow, parking space occupancy, and road width to ensure the smoothness and efficiency of the path.

[0094] Specifically, the path calculation formula is as follows: Among them, P path is the shortest path from the current parking space P current to the target parking space P destination , e i is each edge on the path, and w(e i ) represents the weight of traveling on this edge (such as time, distance, or road conditions). In a dynamic environment, the weight w(e i ) will be adjusted according to real-time data, such as traffic flow and charging pile status.

[0095] Dynamic path adjustment and optimization: During the driving process of the vehicle owner, the system dynamically adjusts the path according to real-time traffic flow, parking space occupancy status, and other environmental factors. At this time, the system uses the dynamic adjustment formula to update the path to cope with possible traffic flow changes or parking space occupancy situations.

[0096] The dynamic path update formula is as follows: Among them, Δ is the weight of dynamic adjustment, which is calculated according to factors such as real-time monitored traffic flow and parking space occupancy status: Δ = αC flow + βO occupancy + γW weather ; Among them: C flow is the real-time traffic flow. The greater the traffic flow, the higher the weight Δ of the path, and the system will avoid guiding the vehicle owner through areas with large traffic flows. O occupancy is the parking space occupancy situation. If the target parking space or the parking spaces on the path are occupied, the weight adjustment will prompt the system to select other available parking spaces. W weather is the weather factor. The system can adjust the path according to weather conditions (such as rain or snow) to enable the vehicle owner to avoid passing through areas that are not suitable for driving.

[0097] AR navigation display and path guidance: After the path calculation is completed, the system generates path guidance through AR technology. The vehicle owner's smart device or in-vehicle navigation system will present the path from the current location to the target parking space on the display screen and update the navigation route between the vehicle owner's location and the target parking space in real time.

[0098] The system overlays path information onto the map of the parking lot and clearly marks the current position of the vehicle owner, the position of the target parking space, and the driving path along the way through AR display. A virtual path line will be shown on the screen of the vehicle owner's device to guide the vehicle owner towards the available parking space.

[0099] Real-time environmental monitoring and feedback: During the vehicle owner's driving process, the AR navigation system will make dynamic adjustments based on real-time traffic flow, road conditions and other data. When the vehicle owner drives to a certain part of the parking lot, if the system detects that a certain section of the road or parking space has changed (such as being occupied or congested), the system will automatically update the path and guide the vehicle owner to choose a new path through AR navigation.

[0100] For example, if there is a traffic jam on the road ahead or the target parking space is occupied, the system will adjust the path to ensure that the vehicle owner can reach the available parking space smoothly. The path update is displayed on the screen of the vehicle owner's device through AR technology to ensure the coherence and accuracy of the path.

[0101] Real-time feedback on parking space occupancy: The AR navigation system is closely integrated with the charging pile management system and the parking space identification module to monitor the usage status of charging piles and parking spaces in real time. When the vehicle owner approaches an available parking space, the system will highlight the parking space and provide precise guidance on the screen of the vehicle owner's device.

[0102] If the parking space is occupied, the system will automatically update the path and recommend other available parking spaces. In this way, the vehicle owner can find an available parking space in the charging pile area, improving the parking and charging efficiency.

[0103] S10. After the vehicle owner finishes charging, the system guides the vehicle owner to drive out of the parking space through AR navigation, optimizing the traffic flow inside the parking lot.

[0104] In this embodiment, combining the technical solutions of the foregoing steps S1 to S9, after the vehicle owner finishes charging, the system continues to provide guidance for the vehicle owner through augmented reality (AR) navigation technology, helping the vehicle owner drive out of the parking space smoothly and optimizing the traffic flow inside the parking lot. Specifically, after the parking space lock is unlocked, the system will provide the vehicle owner with the best departure path through the AR navigation system according to the vehicle owner's real-time position, the traffic conditions inside the parking lot, and other environmental factors, avoiding congestion and improving the traffic efficiency of the parking lot.

[0105] In this embodiment, the process of the AR navigation system continuing to provide the departure path guidance for the vehicle owner after the vehicle owner finishes charging includes the following technical implementation methods: Confirmation of vehicle owner's charging completion: After the vehicle owner finishes charging, the charging pile management system will detect the charging status in real time and judge whether the charging is completed. If the charging is completed and the vehicle owner has not left the parking space, the system will automatically unlock the parking space lock and send a notification to prompt the vehicle owner that they can start driving away.

[0106] The system will monitor in a timely manner according to the owner's behaviors (such as whether staying in the parking space, whether leaving the space overdue, etc.), and transmit the vehicle's departure demand to the AR navigation system.

[0107] Real-time environment monitoring and path calculation: When the vehicle owner is about to leave the parking space, the system obtains the owner's current location through the positioning function of the owner's device (such as GPS or Bluetooth positioning), and identifies the specific location of the parking space where the owner is located and within the parking lot.

[0108] The system collects real-time traffic flow data within the parking lot, including the current vehicle flow, parking flow, occupancy of charging parking spaces, etc., and transmits this data to the cloud platform for processing.

[0109] Based on factors such as the owner's current location, the vehicle flow within the parking lot, and the usage of charging piles, the system calculates the best departure path after the vehicle owner leaves the parking space through path planning algorithms (such as Dijkstra algorithm or A algorithm).

[0110] The path calculation formula is as follows: Among them, P leave is the optimal path from the owner's current parking space to the parking lot exit, e i is each edge on the path, and w(e i ) represents the weight of this path (such as factors like driving time, vehicle flow, traffic signals, etc.).

[0111] Dynamic path adjustment: During the process of the vehicle owner leaving, the system provides real-time feedback on the latest traffic flow information within the parking lot through AR navigation technology. If the vehicle flow is large or there is congestion on a certain path, the system will adjust and update the path in real time to guide the vehicle owner to avoid traffic bottleneck areas.

[0112] This path adjustment takes into account multiple factors, such as the location of the parking lot exit, the availability of surrounding lanes, and the driving speed of the vehicle owner.

[0113] The path update formula is as follows: Among them, Δ is the weight dynamically adjusted according to real-time vehicle flow, road width, and other environmental factors. Specifically: Δ = αC flow + βT traffic + γW weather ; Among them: C flow is the current vehicle flow within the parking lot. Areas with a large vehicle flow will be avoided, and the weight increases, meaning that the path adjustment is more frequent. T traffic is the traffic condition within the parking lot. If there is congestion on certain sections of the road, the system will adjust the vehicle owner's departure path. W weatherIt is the weather condition. Bad weather (such as rainfall or snow accumulation) will affect the driving speed of the vehicle owner, and the system will appropriately extend the path time.

[0114] AR Navigation Path Display and Guidance: After the departure path calculation and adjustment are completed, the AR navigation system will display real-time path information through the vehicle owner's intelligent device (such as a smartphone or in-vehicle navigation system) to help the vehicle owner drive out of the parking space smoothly.

[0115] The AR technology superimposes the vehicle owner's current vehicle position and departure path on the parking lot map and displays it on the screen of the vehicle owner's device in real time. The path display will include the traffic flow ahead, the road section status, and the exit position of the parking lot.

[0116] For example, a virtual path line will be displayed on the screen of the vehicle owner's device, leading from the vehicle owner's current parking space to the exit of the parking lot, and the real-time traffic flow inside the parking lot will be shown through AR technology.

[0117] Traffic Flow Optimization: The system dynamically optimizes the vehicle owner's departure path by real-time monitoring factors such as the traffic flow in the parking lot and the occupancy of parking spaces, to prevent the vehicle owner from encountering traffic congestion or entering a congested area.

[0118] During certain high-demand periods, the system will adjust the path planning according to the predicted traffic flow data to prevent vehicles from stagnating inside the parking lot and ensure that the vehicle owner can drive out of the parking lot smoothly.

[0119] In addition, the system can also analyze the behavior data of other vehicle owners to predict the departure needs of the vehicle owner, make path adjustments in advance, and prompt the vehicle owner to drive out of the parking space quickly through AR navigation.

[0120] Vehicle Owner Feedback and System Optimization: During the vehicle owner's departure process, the system will collect the vehicle owner's feedback information (such as the congestion situation at the parking lot exit, the accuracy of the navigation path, etc.) and optimize the navigation system.

[0121] The system can also analyze the parking and departure behaviors of vehicle owners through historical data to optimize the path planning algorithm, so as to provide more efficient and accurate navigation services for vehicle owners in future use.

[0122] The parking space management system includes the following modules: Parking Space Identification and Occupancy Monitoring Module, which is used to monitor the status of each parking space in the parking lot and provide real-time data support for subsequent functions such as parking space guidance, vehicle owner behavior analysis, and parking space scheduling; AR Navigation Guidance Module, which is used to provide path guidance for vehicle owners in the parking lot and optimize the departure path; A cloud platform and a data processing module, which are used to process and analyze data on parking spaces, charging piles, and vehicle owner behaviors, optimize the allocation of parking spaces and charging resources, and at the same time ensure that the AR navigation module obtains real-time and accurate parking space information; A traffic flow monitoring and optimization module, which is used to monitor and analyze the traffic flow in the parking lot in real time, and optimize the path and departure route of vehicle owners in the parking lot; A vehicle owner behavior feedback module, which is used to analyze the parking behaviors of vehicle owners and provide recommendation services according to the personalized needs of vehicle owners; A parking space lock lifting control module, which is used to control the lifting of the parking space lock to prevent the charging pile from being improperly occupied.

[0123] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for preventing parking space occupation by combining a parking space lock with a charging pile, characterized in that: The following steps are involved: S1. Install a small high-resolution camera or sensor next to each parking space of the charging pile, and the camera or sensor is connected to the charging pile system via a wireless connection to capture parking space images or vehicle location information in real time; S2. Analyze the captured images or vehicle sensor data using image recognition technology or license plate recognition technology to automatically determine the vehicle type and identify the license plate number; S3, upload the vehicle identification results and parking space occupancy information to the cloud platform, and synchronize them with the usage status of the charging pile in real time; S4. Determine whether to start the parking lock lifting according to the parking space occupancy and charging progress. When charging is completed and the owner does not move the car in time, the parking lock is raised; S5. After the car owner pays the parking fee, the payment system confirms the payment by scanning the code. After the payment is successful, the parking lock is automatically lowered and the car owner can leave the parking space; S6. Upload parking space occupancy, charging progress, and payment record information to the cloud in real time through the Internet of Things platform and conduct data analysis to optimize parking space management and the utilization efficiency of charging pile resources; S7. Introduce intelligent sensors to monitor the surrounding environment in real time and adjust the parking management system; S8. When the owner leaves on time but has not completed charging, the parking space management system automatically reminds the owner to complete charging as soon as possible to avoid being stranded by identifying the power status of the charging pile; S9, combined with augmented reality technology to provide real-time navigation for car owners, helping them to quickly locate and guide them to available charging parking spaces; S10. After the car owner completes charging, the system guides the car owner to leave the parking space through AR navigation to optimize the traffic flow inside the parking lot.

2. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The parking lock lifting control step in step S4 includes the following steps: S4.

1. Determine whether to start the parking lock raising according to the vehicle type; S4.

2. When the electric vehicle is fully charged and has not been moved in time, the parking lock is raised and a charging completion reminder is sent to the owner; S4.

3. When a fuel vehicle occupies a charging parking space, the parking lock will immediately rise and prompt the owner to pay the parking fee.

3. A method for preventing parking space occupation by combining a parking space lock with a charging pile according to claim 1, characterized in that: The payment system in step S5 includes the following steps: S5.

1. The car owner scans the QR code on the parking space to enter the payment page; S5.

2. The car owner confirms the parking time and charging time, and completes the parking fee payment through the payment platform; S5.

3. After payment is confirmed, the system automatically unlocks the parking lock, allowing the owner to leave the parking space.

4. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The step S6 specifically comprises the following steps: S6.

1. Use the Internet of Things technology to upload parking space occupancy status, charging pile status, and owner payment record information to the cloud in real time; S6.

2. The cloud platform processes and analyzes the uploaded data in real time and optimizes parking space management based on parking space occupancy data and charging progress; S6.

3. Based on the data analysis results, the system automatically adjusts the parking space allocation and optimizes the layout of charging piles.

5. A method for preventing parking space occupation by combining a parking space lock with a charging pile according to claim 4, characterized in that: The specific method for the cloud platform to process and analyze the uploaded data in real time in step S6.2 includes: S6.

21. Analyze parking space occupancy data to identify parking space usage frequency, idle time periods, and parking behavior patterns of vehicle owners, and predict future parking space demand; S6.

22. Combine charging progress data to track the usage of charging piles in real time and optimize parking space scheduling; S6.

23. Based on the analysis results, the cloud platform dynamically adjusts the parking space allocation strategy through intelligent scheduling algorithms and recommends vacant parking spaces to car owners; S6.

24. Predict the peak period of charging demand through data analysis, allocate resources in advance, and adjust the working mode of the parking lock to adapt to different parking demand patterns.

6. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: In step S4, the parking lock lifting control is remotely controlled by the intelligent dispatching system, which is specifically controlled by the following steps: Dynamically adjust the activation frequency of the parking lock according to the frequency of parking space use, the owner's parking habits and charging time to reduce interference with the parking lock when the parking space is frequently used; When the parking space is used less frequently or has not been used for a long time, the locking strength of the parking lock is increased.

7. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The intelligent sensor monitoring in step S7 monitors the surrounding environment in real time, including the following contents: S7.

1. The impact of weather conditions on parking demand; S7.2, the impact of vehicle flow and parking flow on parking space occupancy; S7.

3. Real-time monitoring and dynamic adjustment of other occupied parking spaces around the charging piles.

8. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The S9 step is specifically as follows: S9.

1. When the car owner enters the parking area, the parking space management system automatically identifies the car owner's current location through the vehicle-mounted device, smart phone or vehicle navigation system, and transmits this information to the cloud platform for processing in real time; S9.

2. The cloud platform uses AR technology to generate real-time route guidance for car owners based on the real-time parking space occupancy information of the current parking lot and the location of the car owner. The route guidance will be visualized on the car owner's smart device or in-car navigation screen to ensure that the car owner can see the optimal route to the vacant charging parking space; S9.

3. The parking space management system will intelligently adjust the recommended route based on the dynamic situation of the parking lot, including the traffic flow, the number of vacant parking spaces and the parking habits of car owners; S9.

4. When the car owner approaches an empty parking space, the AR navigation guidance module will automatically highlight the parking space and provide more precise navigation guidance to ensure that the car owner can park in the charging space quickly and accurately; S9.

5. If the car owner fails to park in the parking space accurately during the parking process, the parking space management system will provide additional auxiliary guidance through the AR screen to help the car owner park in the parking space accurately.

9. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The S10 step is specifically as follows: S10.

1. When the owner's charging is completed, the system detects the charging status through the charging pile and automatically pushes a prompt message to the owner's smart device or in-vehicle device, informing the owner that charging is complete and the owner can prepare to leave the parking space; S10.

2. After the car owner receives the prompt to leave the parking space, the parking space management system automatically guides the car owner to leave the charging parking space through AR navigation; S10.

3. The parking space management system calculates and optimizes the exit route based on the real-time parking lot traffic information. For areas with dense traffic, the parking space management system will provide alternative exit routes to avoid traffic congestion for car owners; S10.

4. When the car owner is leaving the parking lot, the AR navigation guidance module will provide real-time traffic flow prompts to help the car owner choose the best lane and driving speed, further optimizing the traffic flow inside the parking lot; S10.

5. When the car owner leaves the parking space and starts driving, the AR navigation guidance module will automatically cancel the parking space mark, update the parking space occupancy status, and notify the system cloud platform to update the parking space data for other car owners to query in real time; S10.

6. If the car owner encounters traffic or congestion problems at the exit of the parking lot when leaving the parking space, the parking space management system can use AR to prompt the car owner to avoid the congested area and provide the car owner with real-time traffic flow information to further optimize the entrance and exit flow management of the parking lot.

10. A method for preventing parking space occupation by combining a parking lock with a charging pile according to claim 1, characterized in that: The parking space management system includes the following modules: The parking space identification and occupancy monitoring module is used to monitor the status of each parking space in the parking lot and provide real-time data support for subsequent parking space guidance, owner behavior analysis, parking space scheduling and other functions; AR navigation guidance module is used to provide path guidance and exit path optimization for car owners in the parking lot; The cloud platform and data processing module are used to process and analyze parking space, charging pile and owner behavior data, optimize the allocation of parking space and charging resources, and ensure that the AR navigation module obtains real-time and accurate parking space information; Traffic flow monitoring and optimization module, which is used to monitor and analyze the traffic flow in the parking lot in real time and optimize the owner's path and exit route in the parking lot; The car owner behavior feedback module is used to analyze the car owner's parking behavior and provide recommendation services based on the car owner's personalized needs; The parking lock lifting control module is used to control the lifting of the parking lock to prevent the charging pile from being improperly occupied.

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