A charging station parking space management method and system based on license plate recognition

Abstract

The present invention discloses a method and system for managing parking spaces in a charging station based on license plate recognition, the method comprising obtaining vehicle information and a parking path; performing a curvature calculation operation according to the parking path to obtain the curvature of the parking path; performing a stay time calculation operation according to the curvature of the parking path to obtain the vehicle stay time; performing a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score; performing a right of use score calculation operation according to the parking score and the vehicle stay time to obtain a right of use score; performing a parking space allocation operation according to the right of use score and the parking score to allocate a parking space for an incoming vehicle. The method can realize the management of parking spaces in a charging station according to the parking behavior of users, thereby improving the utilization rate of parking spaces.

Description

Technical Field

[0001] The present invention relates to the technical field of parking space management, and in particular to a method and system for managing parking spaces in a charging station based on license plate recognition. Background Art

[0002] At present, with the rapid development of the new energy vehicle market, charging piles, as its important supporting facilities, are continuously expanding in construction scale. As of December 2023, the cumulative number of charging infrastructure nationwide is 8.596 million units, an increase of 65% year-on-year. However, there are many problems with the existing charging pile management system and electric vehicle parking fee charging methods. For example, the phenomenon of electric vehicles being parked randomly is serious. Many car owners fail to leave in time after charging is completed, or occupy charging parking spaces at will, resulting in subsequent vehicles being unable to use charging piles normally. This not only affects the normal operation order of the charging station, but also reduces the efficiency of the use of charging piles, making it impossible to fully utilize charging resources. In addition, the problem of oil car occupation is also becoming increasingly prominent. Since charging parking spaces are set up in public parking lots or specific areas, it is common for oil cars to occupy charging parking spaces. The occupation of oil cars leads to the ineffective use of charging parking space resources, which not only affects the charging experience of new energy vehicle owners, but also reduces the overall utilization rate of charging facilities.

[0003] In one prior art, parking spaces are managed through a charging pile management system, which includes multiple management terminals and servers for receiving order instructions sent by electric vehicles and allocating charging piles and parking spaces for electric vehicles. However, this method requires setting up corresponding management terminal devices for each vehicle. In addition, there is a lack of compatibility between charging piles and management terminals of different brands, which makes it difficult to achieve unified management across platforms and regions, resulting in poor versatility of management terminal devices and inability to quickly and easily allocate charging piles and parking spaces for electric vehicles. In the prior art, ground locks and gates are often used to solve the problem of oil trucks occupying parking spaces, but car owners need to go through cumbersome operating procedures when using ground locks or gates, scanning codes, verifying identities, and waiting for device responses, resulting in long waiting times and poor user experience. At the same time, the existing system cannot monitor the occupancy of parking spaces and the use status of charging piles in real time, making it difficult to provide users with accurate parking space allocation and charging services, and it cannot be dynamically adjusted according to real-time data.

[0004] In summary, the existing technology cannot solve the problem of low parking space utilization caused by random parking of electric vehicles and occupation of parking spaces by gasoline vehicles. Summary of the invention

[0005] The present invention provides a method and system for managing parking spaces at a charging station based on license plate recognition, so as to manage parking spaces at the charging station according to the parking behaviors of users and improve the utilization rate of parking spaces.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a method for managing parking spaces in a charging station based on license plate recognition, comprising:

[0007] Get vehicle information and parking path;

[0008] According to the parking path, a curvature calculation operation is performed to obtain the curvature of the parking path;

[0009] Performing a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time;

[0010] Performing a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score;

[0011] Performing a usage right score calculation operation according to the parking score and the vehicle stay time to obtain a usage right score;

[0012] A parking space allocation operation is performed according to the usage right score and the parking score to allocate a parking space for the incoming vehicle.

[0013] Preferably, in an optional implementation manner, obtaining vehicle information and parking path includes:

[0014] Through the license plate recognition device, which is a camera, the vehicle information extraction operation is performed to obtain the vehicle information;

[0015] According to the vehicle information, a parking path is obtained through a vehicle parking path acquisition operation.

[0016] Preferably, in an optional implementation manner, performing a curvature calculation operation according to the parking path to obtain the curvature of the parking path includes:

[0017] According to the parking path, a position feature point acquisition operation is performed to obtain a position feature point;

[0018] According to the position feature point, a position coordinate point acquisition operation is performed to obtain the position coordinate point;

[0019] According to the position coordinate point, an angle value calculation operation is performed to obtain an angle value;

[0020] Performing a weighted calculation operation according to the angle value to obtain a weighted angle value;

[0021] The curvature of the parking path is calculated according to the weighted angle value to obtain the curvature of the parking path.

[0022] The calculation formula for the angle value calculation operation is as follows:

[0023]

[0024] The calculation formula of the weighted calculation operation is as follows:

[0025]

[0026] The calculation formula for calculating the curvature of the parking path is as follows:

[0027]

[0028] in, Indicates The angle value of the position point, Indicates The projection of a position point on the horizontal ground, Indicates The projection of a position point on the horizontal ground, Indicates The straight-line distance from a location point to the parking space entrance, Represents the weighted angle value; Indicates the curvature of the parking path. Indicates the total number of location points, Represents the fractal dimension of the parking path.

[0029] Preferably, in an optional implementation manner, performing a dwell time calculation operation according to the curvature of the parking path to obtain the vehicle dwell time includes:

[0030] The calculation formula for the residence time calculation operation is as follows:

[0031]

[0032] in, Indicates the vehicle dwell time, Indicates the maximum dwell time corresponding to the curvature of the parking path, Indicates the minimum distance duration between every two curvature values ​​in the vehicle path. Indicates the maximum distance between each two curvature values ​​in the vehicle path. Represents the correction factor.

[0033] Preferably, in an optional implementation, performing a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score includes:

[0034] The calculation formula for the parking score calculation operation is as follows:

[0035]

[0036]

[0037]

[0038]

[0039]

[0040] in, represents the normalized deviation distance, Indicates the positive offset distance between the vehicle and the parking line in the parking space. Indicates the vertical offset distance between the vehicle and the parking line in the parking space. Indicates the maximum deviation distance, represents the parking time deviation coefficient, Indicates parking time. Indicates the average parking time of a parking space. Indicates the operation smoothness coefficient, Indicates the number of turns. Indicates the number of emergency brakes. Indicates the upper limit of the number of turns. Indicates the upper limit of emergency braking times. represents the environmental impact coefficient, represents the surrounding vehicle density, represents the vehicle density when the parking lot is saturated, represents the parking score, Represents the reward coefficient.

[0041] Preferably, in an optional implementation, performing a usage right score calculation operation according to the parking score and the vehicle stay time to obtain the usage right score includes:

[0042] The calculation formula for the right to use score calculation operation is as follows:

[0043]

[0044] in, represents the usage rights score, represents the parking score, Indicates the maximum parking score. Indicates the remaining parking time. represents the total parking time allocated for the first time, represents the parking score adjustment coefficient, Indicates the parking time adjustment factor.

[0045] In a second aspect, the present invention provides a parking space management system for a charging station based on license plate recognition, comprising:

[0046] A data acquisition module, used to obtain vehicle information and parking paths;

[0047] A curvature calculation module, used to perform a curvature calculation operation according to the parking path to obtain the curvature of the parking path;

[0048] A dwell time calculation module, used to perform a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time;

[0049] A parking score calculation module, used to perform a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score;

[0050] A usage right scoring module, configured to perform a usage right scoring calculation operation according to the parking score and the vehicle stay time to obtain a usage right score;

[0051] The parking space allocation module performs a parking space allocation operation according to the usage right score and the parking score to allocate a parking space for an incoming vehicle.

[0052] In a third aspect, the present invention further provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the charging station parking space management method based on license plate recognition as described above is implemented.

[0053] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned charging station parking space management methods based on license plate recognition.

[0054] Compared with the prior art, the present invention has the following beneficial effects: a method and system for managing parking spaces in charging stations based on license plate recognition is provided, and efficient parking space management of charging stations is achieved by comprehensively evaluating vehicle information, curvature of parking paths, and parking deviation distance. The specific technical scheme includes: obtaining vehicle information and parking paths, calculating curvature of parking paths, calculating vehicle dwelling time according to curvature, calculating parking scores in combination with vehicle information and parking paths, and then calculating usage rights scores according to parking scores and dwelling time, and finally allocating parking spaces according to usage rights scores and parking scores. The scientificity and rationality of parking space allocation are improved, and the problems of electric vehicles being parked randomly and oil vehicles occupying spaces can be effectively solved. Through the license plate recognition technology, it is possible to accurately determine whether the vehicle entering the charging parking space is a new energy vehicle, effectively prevent fuel vehicles from occupying the charging parking space, and ensure the reasonable allocation and use of charging resources. At the same time, by comprehensively evaluating the parking behavior of vehicles, the phenomenon of short-term charging and long-term parking of new energy vehicles is avoided, and the turnover rate and utilization efficiency of charging piles are improved. The present invention can monitor the occupancy of parking spaces and the usage status of charging piles in real time, and provide users with accurate parking space allocation and charging services. Compared with the prior art, the present invention does not need to set up a management terminal device for each vehicle, while improving the versatility and convenience of management.

[0055] In summary, the content of the present invention covers a method and system for managing parking spaces in charging stations based on license plate recognition, which aims to achieve efficient and scientific parking space management in charging stations by comprehensively evaluating vehicle information, the curvature of the parking path, and the parking deviation distance. The method first obtains vehicle information and parking paths through a license plate recognition device, and then calculates the curvature of the parking path, and infers the vehicle's stay time based on the curvature. Combining vehicle information and parking paths, the parking score is further calculated, and then the right of use score is obtained based on the parking score and the stay time, and finally the parking space is reasonably allocated to the incoming vehicles based on the right of use score and the parking score. At the system level, the present invention constructs a complete system architecture including modules such as data acquisition, curvature calculation, stay time calculation, parking score calculation, right of use score, and parking space allocation, and automatically executes the above management process. Compared with traditional technologies, the present invention provides accurate services by real-time monitoring of parking spaces and charging pile status, effectively solves the problems of electric vehicles being parked randomly and oil vehicles occupying spaces, and improves the efficiency of charging piles and the rationality of parking space allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flowchart of a method for managing parking spaces in a charging station based on license plate recognition provided by the first embodiment of the present invention;

[0057] Figure 2 It is a structural schematic diagram of a charging station parking space management system based on license plate recognition provided by the second embodiment of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Reference Figure 1 The first embodiment of the present invention provides a method for managing parking spaces in a charging station based on license plate recognition, comprising the following steps:

[0060] S11, obtaining vehicle information and parking path;

[0061] S12, performing a curvature calculation operation according to the parking path to obtain a curvature of the parking path;

[0062] S13, performing a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time;

[0063] S14, performing a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score;

[0064] S15, performing a usage right score calculation operation according to the parking score and the vehicle stay time to obtain a usage right score;

[0065] S16, performing a parking space allocation operation according to the usage right score and the parking score, and allocating a parking space for the incoming vehicle.

[0066] It should be noted that the method first obtains vehicle information and parking path through the license plate recognition device, and then calculates the curvature of the parking path, and calculates the vehicle's stay time based on the curvature. Combining vehicle information and parking path, the parking score is further calculated, and then the use right score is obtained based on the parking score and the stay time. Finally, parking spaces are reasonably allocated to the incoming vehicles based on the use right score and the parking score. Vehicle information is obtained through the license plate recognition device, and the angle value and weighted angle value are calculated using the position feature points and coordinate points to obtain the curvature of the parking path. The calculation of the stay time takes into account the maximum stay time, the minimum and maximum distance duration, and the correction factor, making the prediction of the stay time more accurate. The parking score calculation combines multiple factors such as normalized deviation distance, parking time deviation coefficient, operation fluency coefficient, and environmental impact coefficient to comprehensively evaluate the parking behavior of the vehicle. The use right score combines the parking score and the remaining parking time, and balances them through the adjustment coefficient to ensure the fairness and efficiency of parking space allocation. By comprehensively evaluating the parking behavior of vehicles, the phenomenon of short charging and long parking of new energy vehicles is avoided, and the turnover rate and utilization efficiency of charging piles are improved.

[0067] In step S11, vehicle information and a parking path are obtained, including:

[0068] Through a license plate recognition device, a vehicle information extraction operation is performed to obtain vehicle information;

[0069] According to the vehicle information, through a vehicle parking path acquisition operation, a parking path is obtained.

[0070] It should be noted that in step S11, obtaining vehicle information and a parking path is the basic link of the entire management method. Specifically, this process is achieved with the help of advanced license plate recognition devices. The license plate recognition devices are installed at the entrance of the charging station and key positions in the parking lot. When a vehicle enters the charging station, the device can quickly and accurately capture the license plate information of the vehicle. The license plate information is the unique identifier of the vehicle and contains key data such as the vehicle's registration information, brand, and model. The license plate information is transmitted to the management system. The acquisition of the parking path is completed through a vehicle parking path acquisition operation. This operation involves recording the entire movement trajectory of the vehicle from entering the charging station to finally parking in the parking space. The recording of path data is achieved through multiple high-precision cameras installed in the charging station. These cameras are distributed at different positions in the charging station and can capture the driving images of the vehicle in all directions without dead angles. When a vehicle enters the charging station, the cameras start to track the movement of the vehicle and convert the movement trajectory of the vehicle into a series of coordinate points through image recognition technology. These coordinate points detail every position change of the vehicle in the charging station, including the driving direction, speed of the vehicle, and fine-tuning actions during parking. Through these coordinate points, the system can construct the complete parking path of the vehicle, providing accurate data support for subsequent curvature calculation and parking scoring. To understand this process more clearly, here is a specific example. A new energy vehicle enters the charging station, and the license plate recognition device recognizes the license plate number "Jing A12345" when the vehicle enters. At the same time, the camera network in the charging station starts to track the driving trajectory of the vehicle. The cameras record every position change of the vehicle starting from the entrance, including the right turn at the entrance, speed changes during straight driving, and left and right turn adjustments to position in front of the parking space. These position changes are converted into a series of precise coordinate points to form the parking path of the vehicle. This path not only shows the driving direction and distance of the vehicle but also provides detailed information about the vehicle's parking behavior, such as whether there are sharp turns or sudden brakes. These information is used to evaluate the vehicle's parking behavior and calculate the curvature of the parking path later.

[0071] In step S12, according to the parking path, a curvature calculation operation is performed to obtain the curvature of the parking path, including:

[0072] According to the parking path, a position feature point acquisition operation is performed to obtain a position feature point;

[0073] According to the position feature point, a position coordinate point acquisition operation is performed to obtain the position coordinate point;

[0074] According to the position coordinate point, an angle value calculation operation is performed to obtain an angle value;

[0075] Performing a weighted calculation operation according to the angle value to obtain a weighted angle value;

[0076] The curvature of the parking path is calculated according to the weighted angle value to obtain the curvature of the parking path.

[0077] The calculation formula for the angle value calculation operation is as follows:

[0078]

[0079] The calculation formula of the weighted calculation operation is as follows:

[0080]

[0081] The calculation formula for calculating the curvature of the parking path is as follows:

[0082]

[0083] in, Indicates The angle value of the position point, Indicates The projection of a position point on the horizontal ground, Indicates The projection of a position point on the horizontal ground, Indicates The straight-line distance from a location point to the parking space entrance, Represents the weighted angle value; Indicates the curvature of the parking path. Indicates the total number of location points, Represents the fractal dimension of the parking path.

[0084] It should be noted that in step S12, the curvature calculation operation is performed according to the parking path to obtain the curvature of the parking path, which is achieved based on the vehicle position information recorded in the parking path. The specific process is that the position feature points are first extracted from the parking path. These feature points are key turning points and significant change points on the vehicle's driving trajectory. The extraction of the position feature points is completed by analyzing the coordinate point sequence in the parking path. For example, the distance and angle change between adjacent coordinate points are calculated. When the angle change exceeds a certain threshold, the point is considered to be a position feature point. Exemplarily, the angle change threshold can be set to 15 degrees. Of course, according to different actual applications and user needs, the angle change threshold can also be set to 10 degrees, 20 degrees, etc., and the present invention is not limited to this. Then, according to these position feature points, the corresponding position coordinate points are obtained, and these coordinate points accurately depict the movement trajectory of the vehicle in the charging station. After having the position coordinate points, the system will perform an angle value calculation operation. This operation is completed by calculating the angle between adjacent position coordinate points, that is, the angle value between each two consecutive coordinate points is calculated using the calculation formula of the angle value calculation operation. Then, a weighted calculation operation is performed. Considering that the distance from different locations to the parking space entrance has different effects on the curvature of the parking path, the calculation formula of the weighted calculation operation is introduced for adjustment. In this way, the closer the location point is to the parking space entrance, the greater the weight of its angle value in the curvature calculation. Finally, the curvature of the parking path is calculated based on the weighted angle value. The curvature calculation formula is: ,in Indicates the curvature of the parking path. Indicates the total number of location points, is the fractal dimension of the parking path, which reflects the complexity of the path. The parameter can be set to 1.2. Of course, it depends on the actual application and user needs. The parameter can also be set to 1.5, 1.8, etc., which is not limited in the present invention. Through this series of precise calculations, the system can obtain a numerical value that quantitatively represents the curvature of the vehicle parking path, that is, the curvature of the parking path.

[0085] In step S13, a dwell time calculation operation is performed according to the curvature of the parking path to obtain the vehicle dwell time, including:

[0086] The calculation formula for the residence time calculation operation is as follows:

[0087]

[0088] in, Indicates the vehicle dwell time, Indicates the maximum dwell time corresponding to the curvature of the parking path, Indicates the minimum distance duration between every two curvature values ​​in the vehicle path. Indicates the maximum distance between each two curvature values ​​in the vehicle path. Represents the correction factor.

[0089] It should be noted that in step S13, the dwell time calculation operation is performed according to the curvature of the parking path to obtain the vehicle dwell time, which is achieved based on the relationship between the curvature of the parking path and the driving characteristics of the vehicle. The specific process is that the dwell time of the vehicle is first calculated by using the curvature of the parking path as a quantitative indicator, combined with the driving behavior pattern of the vehicle under different curvature paths. This calculation takes into account multiple key parameters, including the maximum dwell time, the minimum and maximum distance durations, and the correction factor, to ensure that the prediction of the dwell time is more accurate and close to the actual situation. The maximum dwell time refers to the maximum theoretical dwell time of the vehicle under a given curvature of the parking path. This parameter can be obtained based on historical data statistics and experimentally determined. For example, for a path with a high curvature, the maximum dwell time can be set to 30 minutes, while for a relatively straight path, the maximum dwell time can be set to 15 minutes. The minimum distance duration and the maximum distance duration respectively represent the shortest and longest time that the vehicle travels between every two curvature values ​​in the path. These two parameters reflect the changes in the vehicle's driving speed on sections with different curvatures, thereby affecting the calculation of the dwell time. For example, if the distance between two curves is shorter, it only takes 1 minute, while the distance is longer and takes 5 minutes. The correction factor is used to adjust the dwell time calculation results to take into account other factors that affect the dwell time, such as vehicle type, driving habits, weather conditions, etc. For example, for a small electric vehicle, the correction factor can be set to 0.1, while for a large truck, the correction factor can be set to 0.2. Exemplarily, the correction factor It can be set to 0.1. Of course, the correction factor can be set according to the actual application and user needs. It can also be set to 0.05, 0.2, etc., which is not limited in the present invention. It represents the vehicle dwell time, which is obtained by multiplying the maximum dwell time by the ratio of the minimum and maximum distance durations and combining the exponential adjustment of the correction factor.

[0090] It is worth noting that in this way, the system can accurately calculate the vehicle's dwelling time according to the driving characteristics of different vehicles under a specific curvature path, providing a scientific basis for subsequent parking space allocation and management. In practical applications, the parameters can be adjusted according to different scenarios and needs. For example, during peak hours, the maximum dwelling time and correction factor can be appropriately increased to reflect the characteristics of slower vehicle speeds and longer dwelling times during peak hours. During non-peak hours, these parameters can be appropriately reduced to increase the turnover rate of parking spaces. Through these precise calculations and flexible parameter adjustments, the present invention can effectively manage the allocation of parking spaces at charging stations, improve the utilization efficiency of charging piles, and ensure the reasonable parking of vehicles.

[0091] In step S14, a parking score calculation operation is performed according to the vehicle information and the parking path to obtain a parking score, including:

[0092] The calculation formula for the parking score calculation operation is as follows:

[0093]

[0094]

[0095]

[0096]

[0097]

[0098] in, represents the normalized deviation distance, Indicates the positive offset distance between the vehicle and the parking line in the parking space. Indicates the vertical offset distance between the vehicle and the parking line in the parking space. Indicates the maximum deviation distance, represents the parking time deviation coefficient, Indicates parking time. Indicates the average parking time of a parking space. Indicates the operation smoothness coefficient, Indicates the number of turns. Indicates the number of emergency brakes. Indicates the upper limit of the number of turns. Indicates the upper limit of emergency braking times. represents the environmental impact coefficient, represents the surrounding vehicle density, represents the vehicle density when the parking lot is saturated, represents the parking score, Represents the reward coefficient.

[0099] It should be noted that in step S14, based on the vehicle information and the parking path, a parking score calculation operation is performed to obtain a parking score. This process is achieved based on the vehicle's parking behavior and path characteristics. Specifically, the system first calculates multiple factors such as the vehicle's normalized deviation distance, parking time deviation coefficient, operation smoothness coefficient, and environmental impact coefficient by using the vehicle information and the coordinate points in the parking path, and comprehensively evaluates the vehicle's parking behavior. Among them, represents the normalized deviation distance, and the calculation formula is , represents the positive offset distance between the vehicle and the parking line in the parking space, represents the perpendicular offset distance between the vehicle and the parking line in the parking space, represents the maximum deviation distance. This parameter is used to measure the deviation degree of the vehicle from the ideal parking position when parking. By calculating the positive offset distance and the perpendicular offset distance between the vehicle and the parking line in the parking space and normalizing them within the range of the maximum deviation distance, a dimensionless deviation value is obtained. The smaller this value is, the more accurate the vehicle's parking position is. represents the parking time deviation coefficient, represents the parking time used, represents the average parking time of the parking space. The parking time deviation coefficient is used to measure the deviation between the vehicle's parking time and the average parking time. By calculating the ratio of the actual parking time of the vehicle to the average parking time of the parking space, a dimensionless time deviation coefficient is obtained. The smaller this value is, the closer the vehicle's parking time is to the average value, and the higher the parking efficiency is. represents the operation smoothness coefficient, represents the number of steering operations, represents the number of hard braking operations, represents the upper limit of the number of steering operations, represents the upper limit of the number of hard braking operations. The operation smoothness coefficient is used to measure the operation smoothness during the vehicle's parking process. By calculating the number of steering operations and the number of hard braking operations of the vehicle and normalizing them within the range of the upper limit of the number of steering operations and the upper limit of the number of hard braking operations, a dimensionless operation smoothness coefficient is obtained. The larger this value is, the smoother the operation during the vehicle's parking process is. represents the environmental impact coefficient, represents the density of surrounding vehicles, represents the vehicle density when the parking lot is saturated. The environmental impact coefficient is used to measure the impact of the surrounding environment when the vehicle parks. By calculating the ratio of the density of surrounding vehicles to the vehicle density when the parking lot is saturated, a dimensionless environmental impact coefficient is obtained. The smaller this value is, the looser the surrounding environment is when the vehicle parks. Represents the reward coefficient. This parameter is used to reward certain good parking behaviors of the vehicle. For example, if the vehicle performs well during parking, such as accurate parking position and smooth operation, a certain reward score can be given.

[0100] It is worth noting that through these precise calculations, the system can comprehensively evaluate the parking behavior of vehicles and provide a scientific basis for the subsequent allocation and management of parking spaces. For example, during the parking process of a new energy vehicle, the forward offset distance is 0.5 meters, the vertical offset distance is 0.3 meters, the maximum deviation distance is 2 meters, the parking time is 3 minutes, the average parking time is 5 minutes, the number of turns is 2 times, the number of emergency brakes is 1 time, the upper limit of the number of turns is 5 times, the upper limit of the number of emergency brakes is 3 times, the surrounding vehicle density is 0.8, the vehicle density when the parking lot is saturated is 1.0, and the reward coefficient is 0.5. Then the parking score is 61.8. In this way, the system can accurately calculate the parking score according to the parking behavior of different vehicles, providing a scientific basis for the subsequent allocation and management of parking spaces. In practical applications, parameters can be adjusted according to different scenarios and needs. For example, during peak hours, the weights of the operation fluency coefficient and the environmental impact coefficient can be appropriately increased to reflect the characteristics of high vehicle operation complexity and large environmental impact during peak hours. During non-peak hours, the weights of these parameters can be appropriately reduced to improve the turnover rate of parking spaces. Through these precise calculations and flexible parameter adjustments, the allocation of parking spaces at charging stations can be effectively managed, the efficiency of charging piles can be improved, and the reasonable parking of vehicles can be ensured. In addition, the system can also continuously optimize these parameters based on actual operating data to adapt to different parking environments and user needs, further improving system performance.

[0101] In step S15, a usage right score calculation operation is performed according to the parking score and the vehicle stay time to obtain a usage right score, including:

[0102] The calculation formula for the right to use score calculation operation is as follows:

[0103]

[0104] in, represents the usage rights score, represents the parking score, Indicates the maximum parking score. Indicates the remaining parking time. represents the total parking time allocated for the first time, represents the parking score adjustment coefficient, Indicates the parking time adjustment factor.

[0105] It should be noted that, in step S15, a right of use score calculation operation is performed according to the parking score and the vehicle stay time to obtain a right of use score. This process is achieved based on a comprehensive evaluation of the parking score and the vehicle stay time. Specifically, the system first uses the parking score and the vehicle stay time to calculate the right of use score to evaluate the vehicle's right of use of the parking space. The parking score is a comprehensive score of the vehicle's parking behavior, reflecting the accuracy and standardization of the vehicle's parking. The higher the parking score, the more standardized the vehicle's parking behavior. The parking score full score is the highest value of the parking score, which is used to normalize the parking score so that it varies between 0 and 1. The remaining parking time is the remaining parking time of the vehicle in the parking space, reflecting the occupancy of the vehicle in the parking space. The total parking time of the initial allocation is the total parking time when the vehicle is initially allocated, which is used to normalize the remaining parking time so that it varies between 0 and 1. The parking score adjustment coefficient is a coefficient used to adjust the weight of the parking score in the right of use score. The parking time adjustment coefficient is a coefficient used to adjust the weight of the remaining parking time in the right of use score. The role of these two coefficients is to adjust the weight of the parking score and the remaining parking time in the final right of use score. In different application scenarios, the importance of vehicle parking behavior and parking time will vary. For example, in some cases, standardized parking behavior is more critical. At this time, the value of the parking score can be increased to increase the proportion of the parking score in the right of use score. On the contrary, if you pay more attention to the parking time efficiency of the vehicle, that is, you hope that the vehicle can complete charging quickly and release the parking space, then you can increase the value of the parking time adjustment coefficient, so that the remaining parking time occupies a more important position in the score.

[0106] It is worth noting that through these precise calculations, the system can comprehensively evaluate the parking behavior and dwell time of vehicles, providing a scientific basis for the subsequent parking space allocation and management. For example, the parking score of a new energy vehicle is 61.8, the full score of the parking score is 100, the remaining parking time is 10 minutes, the total parking time for the initial allocation is 30 minutes, the parking score adjustment coefficient is 0.6, and the parking time adjustment coefficient is 0.4. Then the right of use score PSI=0.5. In this way, the system can accurately calculate the right of use score according to the parking behavior and dwell time of different vehicles. In practical applications, the parameters can be adjusted according to different scenarios and needs. For example, during peak hours, the weight of the parking score adjustment coefficient can be appropriately increased to reflect the importance of vehicle parking behavior during peak hours. During non-peak hours, the weight of the parking time adjustment coefficient can be appropriately increased to increase the turnover rate of parking spaces. Through these precise calculations and flexible parameter adjustments, the parking space allocation of charging stations can be effectively managed, the utilization efficiency of charging piles can be improved, and the reasonable parking of vehicles can be ensured.

[0107] In step S16, according to the usage right score and the parking score, a parking space allocation operation is performed to allocate a parking space for the incoming vehicle.

[0108] It should be noted that in step S16, the system performs a parking space allocation operation according to the usage right score and the parking score to allocate a parking space for the incoming vehicle. This operation is the final link of the entire management method, aiming to ensure that vehicles can obtain reasonable parking space allocation based on the comprehensive evaluation of their parking behavior and parking time. Specifically, the system uses the usage right score and the parking score calculated in the previous steps to evaluate the demand and priority of each vehicle for the parking space, and then allocates a suitable parking space for the vehicle. The combination of the usage right score and the parking score enables the system to comprehensively consider the parking normativity and parking time efficiency of the vehicle. The parking score reflects the accuracy and normativity of vehicle parking, while the usage right score combines the parking score and the remaining parking time, considering the actual occupancy of the vehicle for the parking space. In this way, the system can ensure that those vehicles with regular parking behavior and reasonable parking time have the right to be preferentially allocated parking spaces. In practical applications, the system can flexibly adjust the parking space allocation strategy according to different scenarios and requirements. For example, during peak hours, the system can preferentially allocate parking spaces to vehicles with higher parking scores to encourage regular parking behavior and reduce the parking time occupancy. During off-peak hours, the system can appropriately relax the standards to increase the turnover rate of parking spaces and ensure the efficient operation of the charging station.

[0109] To facilitate the understanding of the present invention, some preferred embodiments of the present invention will be further described below.

[0110] At present, with the increasing popularity of new energy vehicles, as an important supporting facility, the efficiency and scientific nature of the parking space management of the charging station are crucial for improving the user experience and optimizing resource utilization. The present invention aims to achieve intelligent allocation of the parking spaces of the charging station through a comprehensive evaluation system, ensuring that vehicles can obtain reasonable parking space usage rights according to their parking behavior and parking time.

[0111] Step 1: First, through the license plate recognition devices installed at the entrance and key positions of the charging station, the license plate information of the incoming vehicle is captured, such as "Beijing A12345". This information includes the vehicle's registration information, brand, model, etc., providing basic data for subsequent management. At the same time, with the help of the high-precision cameras distributed in the charging station, the entire driving trajectory of the vehicle from the entrance to the parking space is recorded, converting the movement of the vehicle into a series of coordinate points to construct a complete parking path.

[0112] Step 2: Next, the system analyzes the parking path and extracts location feature points, i.e., key turning points and significant change points on the vehicle's driving trajectory. By calculating the distance and angle change between adjacent coordinate points, the location feature points are identified when the angle change exceeds the preset threshold (15 degrees). Then, the location coordinate points are obtained based on these feature points, and the angle between adjacent location coordinate points is calculated to obtain the angle value. Further, a weighted calculation is performed based on the angle value, considering the distance from different location points to the parking space entrance, to obtain the weighted angle value. Finally, the weighted angle value is used to calculate the curvature of the parking path, which reflects the complexity of the path.

[0113] Step 3: Based on the calculated curvature of the parking path, the system predicts the dwell time. This prediction takes into account multiple key parameters such as the maximum dwell time, the minimum and maximum distance durations, and the correction factor. For example, for a path with a high curvature, the maximum dwell time is set to 30 minutes; while for a straighter path, the maximum dwell time is set to 15 minutes. The estimated dwell time of the vehicle is obtained by multiplying the maximum dwell time by the ratio of the minimum and maximum distance durations, combined with the exponential adjustment of the correction factor.

[0114] Step 4: The system further calculates the parking score based on the vehicle information and parking path. This score combines multiple factors such as normalized deviation distance, parking time deviation coefficient, operation fluency coefficient, and environmental impact coefficient. The forward and vertical offset distances between the vehicle and the parking line in the parking space are calculated and normalized to the maximum deviation distance range to obtain the normalized deviation distance. At the same time, the ratio of parking time to the average parking time in the parking space is calculated to obtain the parking time deviation coefficient. In addition, factors such as the number of vehicle turns and emergency brakes are also considered to evaluate the operation fluency coefficient and the impact of the surrounding vehicle density on parking, and finally the parking score is obtained.

[0115] Step 5: Based on the parking score and the vehicle dwell time, the system calculates the right-of-use score. This score combines the parking score and the remaining parking time, and is balanced by the parking score adjustment factor and the parking time adjustment factor.

[0116] Step 6: The system allocates parking spaces to incoming vehicles based on the usage right score and parking score. This allocation operation ensures that vehicles with standardized parking behavior and reasonable stay time can get priority parking spaces, improves the efficiency of charging piles and the turnover rate of parking spaces, and also encourages good parking behavior and optimizes the overall operational efficiency of the charging station.

[0117] In summary, the present invention proposes a parking space management method for charging stations based on license plate recognition, which aims to optimize the parking space management of charging stations. First, the vehicle information is obtained through the license plate recognition device, and the parking path of the vehicle is recorded by a high-precision camera. Then, the system analyzes the parking path, extracts the location feature points, calculates the path curvature, and then predicts the vehicle's stay time. At the same time, the parking score is calculated and the parking behavior of the vehicle is evaluated by combining the vehicle information and the parking path. Then, based on the parking score and the stay time, the usage right score is calculated to comprehensively evaluate the vehicle's demand for parking spaces. Finally, the system allocates a suitable parking space to the vehicle based on the usage right score and the parking score to ensure the fairness and efficiency of parking space allocation. This method not only improves the utilization efficiency of charging piles, but also optimizes the overall operational efficiency of charging stations by encouraging standardized parking behaviors.

[0118] Reference Figure 2 The second embodiment of the present invention provides a parking space management system for a charging station based on license plate recognition, comprising:

[0119] A data acquisition module, used to obtain vehicle information and parking paths;

[0120] A curvature calculation module, used to perform a curvature calculation operation according to the parking path to obtain the curvature of the parking path;

[0121] A dwell time calculation module, used to perform a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time;

[0122] A parking score calculation module, used to perform a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score;

[0123] A usage right scoring module, configured to perform a usage right scoring calculation operation according to the parking score and the vehicle stay time to obtain a usage right score;

[0124] The parking space allocation module performs a parking space allocation operation according to the usage right score and the parking score to allocate a parking space for an incoming vehicle.

[0125] It should be noted that the charging station parking space management system based on license plate recognition provided in an embodiment of the present invention is used to execute all the process steps of the charging station parking space management method based on license plate recognition in the above embodiment. The working principles and beneficial effects of the two correspond one to one, so they will not be repeated here.

[0126] The embodiment of the present invention also provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a parking space allocation program. When the processor executes the computer program, the steps in the above-mentioned embodiments of the charging station parking space management method based on license plate recognition are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are realized, such as the parking space allocation module.

[0127] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0128] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0129] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0130] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0131] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0132] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0133] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A parking space management method for a charging station based on license plate recognition, characterized in that: Executed by a computer, including: Get vehicle information and parking path, including: By means of a license plate recognition device, a vehicle information extraction operation is performed to obtain vehicle information; and according to the vehicle information, a parking path is obtained by means of a vehicle parking path acquisition operation to obtain a parking path; According to the parking path, a curvature calculation operation is performed to obtain the curvature of the parking path, including: According to the parking path, a position feature point acquisition operation is performed to obtain a position feature point; according to the position feature point, a position coordinate point acquisition operation is performed to obtain a position coordinate point; according to the position coordinate point, an angle value calculation operation is performed to obtain an angle value; according to the angle value, a weighted calculation operation is performed to obtain a weighted angle value; according to the weighted angle value, a parking path curvature calculation is performed to obtain a parking path curvature; Performing a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time; Performing a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score; Performing a usage right score calculation operation according to the parking score and the vehicle stay time to obtain a usage right score; A parking space allocation operation is performed according to the usage right score and the parking score to allocate a parking space for the incoming vehicle.

2. The method for managing parking spaces in charging stations based on license plate recognition according to claim 1, characterized in that: The calculation formula for the angle value calculation operation is as follows: The calculation formula of the weighted calculation operation is as follows: The calculation formula for calculating the curvature of the parking path is as follows: in, Indicates The angle value of the position point, Indicates The projection of a position point on the horizontal ground, Indicates The projection of a position point on the horizontal ground, Indicates The straight-line distance from a location point to the parking space entrance, Represents the weighted angle value; Indicates the curvature of the parking path. Indicates the total number of location points, Represents the fractal dimension of the parking path.

3. The method for managing parking spaces in charging stations based on license plate recognition according to claim 1, characterized in that: According to the curvature of the parking path, a dwell time calculation operation is performed to obtain the vehicle dwell time, including: The calculation formula for the residence time calculation operation is as follows: in, Indicates the vehicle dwell time, Indicates the maximum dwell time corresponding to the curvature of the parking path, Indicates the minimum distance duration between every two curvature values ​​in the vehicle path. Indicates the maximum distance between each two curvature values ​​in the vehicle path. Represents the correction factor.

4. The method for managing parking spaces in charging stations based on license plate recognition according to claim 1, characterized in that: A parking score calculation operation is performed according to the vehicle information and the parking path to obtain a parking score, including: The calculation formula for the parking score calculation operation is as follows: in, represents the normalized deviation distance, Indicates the positive offset distance between the vehicle and the parking line in the parking space. Indicates the vertical offset distance between the vehicle and the parking line in the parking space. Indicates the maximum deviation distance, represents the parking time deviation coefficient, Indicates parking time. Indicates the average parking time of a parking space. Indicates the operation smoothness coefficient, Indicates the number of turns. Indicates the number of emergency brakes. Indicates the upper limit of the number of turns. Indicates the upper limit of emergency braking times. represents the environmental impact coefficient, represents the surrounding vehicle density, represents the vehicle density when the parking lot is saturated, represents the parking score, Represents the reward coefficient.

5. The method for managing parking spaces in charging stations based on license plate recognition according to claim 1, characterized in that: A use right score calculation operation is performed according to the parking score and the vehicle stay time to obtain a use right score, including: The calculation formula for the right to use score calculation operation is as follows: in, represents the usage rights score, represents the parking score, Indicates the maximum parking score. Indicates the remaining parking time. represents the total parking time allocated for the first time, represents the parking score adjustment coefficient, Indicates the parking time adjustment factor.

6. A parking space management system for a charging station based on license plate recognition, used to implement the parking space management method for a charging station based on license plate recognition as described in any one of claims 1 to 5, characterized in that: include: A data acquisition module, used to obtain vehicle information and parking paths; A curvature calculation module, used to perform a curvature calculation operation according to the parking path to obtain the curvature of the parking path; A dwell time calculation module, used to perform a dwell time calculation operation according to the curvature of the parking path to obtain a vehicle dwell time; A parking score calculation module, used to perform a parking score calculation operation according to the vehicle information and the parking path to obtain a parking score; A usage right scoring module, configured to perform a usage right scoring calculation operation according to the parking score and the vehicle stay time to obtain a usage right score; The parking space allocation module performs a parking space allocation operation according to the usage right score and the parking score to allocate a parking space for an incoming vehicle.

7. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for managing parking spaces in a charging station based on license plate recognition as described in any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the charging station parking space management method based on license plate recognition as described in any one of claims 1 to 5.

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