Intelligent parking management method and system

Abstract

The application relates to the technical field of intelligent parking, in particular to an intelligent parking management method and system. The intelligent parking management method acquires vehicle information, an ordinary parking space idle amount and a charging parking space idle amount in real time through an information acquisition module; if it is identified that a peak period is entered, the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles in the same peak period are analyzed based on historical data; the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles are analyzed based on fusion, the number of charging parking spaces that can be temporarily used as ordinary parking spaces is dynamically calculated; the charging parking spaces are used through the calculation result, and the parking guarantee problem of long-term vehicles in the parking peak period is improved through the temporary occupation mode of the charging parking spaces.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent parking, and particularly relates to an intelligent parking management method and system. BACKGROUND

[0002] With the rapid advancement of global urbanization, the scale of cities is expanding, and the population is continuously gathering in cities. At the same time, as the main means of modern travel, the number of cars is continuously rising at an alarming rate. The superposition of these two trends makes the urban parking problem increasingly prominent, not only bringing many inconveniences to the daily travel of citizens, but also posing a severe challenge to the rational use and efficient management of urban traffic resources. Under this background, intelligent parking management systems have emerged as the times require, becoming a core technical means to alleviate the urban parking dilemma and improve the efficiency of traffic resource utilization.

[0003] The existing intelligent parking management system does indeed play a positive role in parking management to some extent. Most systems can achieve basic vehicle entry registration, quickly and accurately record vehicle information entering the parking lot through license plate recognition, electronic tag reading and other technologies; the parking space guidance function helps drivers conveniently find empty parking spaces with the help of sensors and indicator signs; the billing function automatically calculates parking fees and completes the charging operation according to factors such as parking duration and vehicle type. However, with the increasing complexity of urban traffic environment and the continuous improvement of people's requirements for parking service quality, these basic functions have been difficult to meet the actual needs.

[0004] In many parking lots, the situation of unbound parking spaces is common. For such parking lots, the parking guarantee problem of long-term vehicles in parking peak periods is particularly prominent. In unmanaged parking lots where long-term vehicles are not bound to fixed parking spaces, there are many factors that cause long-term vehicles to have no parking spaces available during peak periods.

[0005] Firstly, there is a lack of effective prediction and resource allocation strategies. Due to the lack of perfect data analysis means and accurate prediction models, parking lot managers cannot accurately know the vehicle flow and demand distribution at different times in advance. The travel patterns of vehicles differ greatly on different days (weekdays, weekends, holidays, etc.) and at different times of the day (morning and evening peak, off-peak, etc.). Due to the inability to accurately grasp these patterns, parking lots are unable to reasonably reserve enough parking spaces for long-term vehicle users in advance during peak parking periods, resulting in unreasonable resource allocation. Long-term vehicle users may find that the parking lot is full of temporary parked vehicles when they urgently need to park.

[0006] Secondly, the squeezing of charging parking spaces on ordinary parking spaces is also an important factor that cannot be ignored. With the rapid development of the new energy vehicle industry, the market share of new energy vehicles is increasing, and the setting of charging parking spaces in parking lots is also gradually increasing. However, there is a dilemma in the use and management of charging parking spaces. On the one hand, in order to guarantee the charging demand of new energy vehicles, it is usually stipulated that non-charging vehicles are not allowed to stop at charging parking spaces. However, during the peak parking period, this regulation makes the already tight parking space resources even more scarce, further compressing the parking space of long-term vehicles. On the other hand, if non-charging vehicles are not restricted from stopping at charging parking spaces, it will lead to the long-term occupation of charging parking spaces by non-charging vehicles, so that new energy vehicles that really need to charge cannot be charged in time, affecting the normal use of new energy vehicles, and violating the original intention of setting charging parking spaces.

[0007] Furthermore, there is a lack of effective control over the size of vehicles. Different types of vehicles, such as small cars, medium-sized SUVs, large buses, and trucks, have large size differences. Large vehicles, especially some large SUVs and trucks, have large body sizes, which may occupy multiple parking spaces, resulting in a decrease in the number of actual parking vehicles. In unattended parking lots, due to the lack of strict restrictions and reasonable guidance on the size of vehicles, some large vehicles are randomly parked, further exacerbating the situation of parking space shortage during the peak parking period. SUMMARY

[0008] In order to improve the parking guarantee problem of long-term vehicles during the peak parking period, the present application provides a smart parking management method and system.

[0009] In the first aspect, the present application provides a smart parking management method and system, which adopts the following technical solution:

[0010] A smart parking management method and system, comprising the following steps:

[0011] Real-time acquisition of vehicle information, ordinary parking space idle quantity and charging parking space idle quantity, the vehicle information including vehicle type, charging type and vehicle size, the vehicle type including electric vehicle and non-electric vehicle, the charging type including temporary vehicle, long-term vehicle and special vehicle;

[0012] If it is identified that the peak period is entered, the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles in the same peak period are analyzed based on historical data;

[0013] Based on the fusion analysis of the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles, the number of charging parking spaces that can be temporarily used as ordinary parking spaces is dynamically calculated;

[0014] acquire the number of long-term vehicles entering during the peak period in real time, and calculate a long-term vehicle entering difference value based on the predicted number of long-term vehicles entering during the peak period;

[0015] if the long-term vehicle entering difference value is greater than the number of idle ordinary parking spaces at present, use the charging parking spaces as temporary ordinary parking spaces; if the number of charging parking spaces used is greater than or equal to the number of charging parking spaces that can be used, or the idle number of charging parking spaces is less than a preset value, stop using the charging parking spaces;

[0016] if the long-term vehicle entering difference value is greater than the number of idle ordinary parking spaces at present and the charging parking spaces are stopped from being used, or the size of the vehicle is greater than a preset value, prohibit the temporary vehicle from entering.

[0017] In one of the embodiments, the method for acquiring the historical average idle number of charging parking spaces comprises:

[0018] based on the historical data, calculate the historical average occupancy rate of charging parking spaces;

[0019] based on the historical average occupancy rate of charging parking spaces and the total number of charging parking spaces, calculate the historical average idle number of charging parking spaces.

[0020] In one of the embodiments, the step of calculating the historical average occupancy rate of charging parking spaces based on the historical data specifically comprises:

[0021] based on the historical data, acquire the actual charging duration of all charging parking spaces corresponding to the same peak period;

[0022] based on the actual charging duration of charging parking spaces, calculate the average charging duration;

[0023] based on the duration of the peak period and the total number of charging parking spaces, calculate the theoretical charging duration of the peak period;

[0024] based on the average charging duration and the theoretical charging duration, calculate the historical average occupancy rate of charging parking spaces.

[0025] In one of the embodiments, the method for acquiring the historical parking gap rate of long-term vehicles comprises:

[0026] based on the historical data, acquire the number of long-term vehicles without parking spaces during the same peak period, which represents the number of long-term vehicles with 0 idle number of ordinary parking spaces when entering;

[0027] acquire the total number of long-term vehicles entering during the same peak period;

[0028] based on the number of long-term vehicles without parking spaces and the total number of long-term vehicles entering, calculate the historical parking gap rate of long-term vehicles.

[0029] In one of the embodiments, the method for acquiring the historical average parking duration of temporary vehicles comprises:

[0030] Based on historical data, the total parking duration of the temporary vehicle entering during the same peak period is obtained;

[0031] The total number of temporary vehicle entries during the same peak period is obtained;

[0032] Based on the total parking duration of the temporary vehicle and the total number of temporary vehicle entries, the historical average parking duration of the temporary vehicle is calculated.

[0033] In one of the embodiments, the step of dynamically calculating the number of available charging parking spaces that can be temporarily used as ordinary parking spaces specifically includes:

[0034] Based on the historical parking gap rate of long-term vehicles, the current parking gap number of long-term vehicles is predicted;

[0035] The current parking gap number of long-term vehicles is fused with the historical average idle number of charging parking spaces, and the number of available charging parking spaces is calculated based on the historical average parking duration of temporary vehicles.

[0036] In one of the embodiments, the step of predicting the current parking gap number of long-term vehicles based on the historical parking gap rate of long-term vehicles specifically includes:

[0037] Based on historical data, the historical total number of entries of long-term vehicles and the historical registration number of long-term vehicles during the same peak period are obtained, and the historical entry proportion of long-term vehicles is calculated;

[0038] The current registration number of long-term vehicles is obtained;

[0039] Based on the historical entry proportion of long-term vehicles and the current registration number of long-term vehicles, the long-term vehicle entry prediction quantity is estimated, and the current parking gap number of long-term vehicles is calculated based on the long-term vehicle entry prediction quantity and the historical parking gap rate of long-term vehicles.

[0040] In one of the embodiments, the calculation formula of the number of available charging parking spaces is:

[0041] ;

[0042] In the formula, M A is the number of available charging parking spaces, M k is the historical average idle number of charging parking spaces, M L is the parking gap number of long-term vehicles, λ is the attenuation coefficient, T T is the historical average parking duration of temporary vehicles, T 高 n is the duration of the nth peak period.

[0043] In one of the embodiments, the calculation formula of the number of available charging parking spaces is:

[0044] ;

[0045] In the formula, M A is the number of chargeable parking spaces, Mk is the historical average number of idle chargeable parking spaces, M L is the number of parking gaps for long-term vehicles, λ is a decay coefficient, T T is the historical average parking duration of temporary vehicles, T 高 n is the duration of the nth peak period, W K and W L are weight coefficients, and W K +W L =1.

[0046] In a second aspect, the application provides a smart parking management method and system, which adopts the following technical solution:

[0047] A smart parking management system comprises:

[0048] An information acquisition module is configured to acquire vehicle information, ordinary parking space idle quantity, and chargeable parking space idle quantity in real time, wherein the vehicle information comprises vehicle type, charging type, and vehicle size, the vehicle type comprises electric vehicles and non-electric vehicles, and the charging type comprises temporary vehicles, long-term vehicles, and special vehicles;

[0049] A data analysis module is configured to determine whether to enter a peak period, and if it is determined that the peak period is entered, to analyze the historical average number of idle chargeable parking spaces, the historical parking gap rate of long-term vehicles, and the historical average parking duration of temporary vehicles based on historical data in the same peak period;

[0050] A parking space calculation module is configured to perform fusion analysis based on the historical average number of idle chargeable parking spaces, the historical parking gap rate of long-term vehicles, and the historical average parking duration of temporary vehicles, and dynamically calculate the number of chargeable parking spaces that can be temporarily used as ordinary parking spaces;

[0051] An entry difference calculation module is configured to acquire the entry quantity of long-term vehicles in the peak period in real time, and calculate the entry difference of long-term vehicles based on the predicted entry quantity of long-term vehicles in the peak period;

[0052] A parking space appropriation control module is configured to appropriate chargeable parking spaces as temporary ordinary parking spaces if the entry difference of long-term vehicles is greater than the number of idle ordinary parking spaces at present, and to stop appropriating chargeable parking spaces if the number of appropriated chargeable parking spaces is greater than or equal to the number of chargeable parking spaces that can be appropriated, or the chargeable parking space idle quantity is less than a preset value;

[0053] A vehicle access control module is configured to prohibit temporary vehicles from entering if the entry difference of long-term vehicles is greater than the number of idle ordinary parking spaces at present and the appropriation of chargeable parking spaces is stopped, or the vehicle size is greater than a preset value.

[0054] In summary, the present application has the following beneficial effects:

[0055] 1. Precise control of large-size vehicles to ensure consistency of parking space data: With the help of precise vehicle size measurement mechanism, large-size vehicles are strictly controlled. During the process of vehicle entry and exit, real-time vehicle size information is obtained, so that the parking lot can accurately master the adaptation of each vehicle entering the parking lot to the parking space, and ensure that the recorded information of vehicles entering and exiting the parking lot is highly unified with the actual occupancy data of the parking space. This not only helps the parking lot to carry out fine management, avoids the waste of space or parking chaos caused by the mismatch of vehicle size and parking space, but also provides accurate data basis for subsequent parking space resource scheduling.

[0056] 2. Intelligent allocation of charging parking spaces to improve long-term vehicle peak parking guarantee: The system real-time tracks the number of long-term vehicles entering the parking lot, and predicts the number of long-term vehicles entering the parking lot during the peak period based on historical data. By accurately calculating the difference between the two, the system can accurately grasp the demand for parking spaces. When the difference is greater than the number of idle ordinary parking spaces, the system will intelligently and dynamically divert charging parking spaces to temporarily change them into ordinary parking spaces for long-term vehicles. This effectively alleviates the parking space shortage dilemma faced by long-term vehicles during the parking peak period, greatly improves the parking guarantee level of long-term vehicle users during the peak period, significantly improves their parking experience, and enhances their satisfaction and loyalty to the parking lot service. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 is the system architecture diagram of the intelligent parking management system of the present embodiment;

[0058] Figure 2 is the flowchart of the intelligent parking management method of the present embodiment.

[0059] In the figure, 10, information acquisition module; 20, data analysis module; 30, parking space calculation module; 40, entry difference calculation module; 50, parking space diversion control module; 60, vehicle access control module; 70, vehicle exit control module. DETAILED DESCRIPTION

[0060] The present application will be further described in detail below in conjunction with the drawings.

[0061] In order to more clearly understand the objects, technical solutions and advantages of the present application, the present application will be described and explained in detail below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those skilled in the art that the present application can be implemented without these details. In some cases, in order to avoid unnecessary description and make aspects of the present application obscure, well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be described in detail. It is obvious for those skilled in the art that various changes can be made to the embodiments disclosed in the present application, and the general principles defined in the present application can be applied to other embodiments and application scenarios without departing from the principles and scope of the present application. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope claimed by the present application.

[0062] It should be noted that the description of the embodiments is used to help understand the present application, but does not constitute a limitation of the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0063] In the description of the present application, the meaning of one or more is one or more, the meaning of multiple is two or more, greater than, less than, more than, etc. are understood as not including the number, above, below, etc. are understood as including the number. If it is described as first, second, it is only used to distinguish technical features for the purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the relationship between the indicated technical features.

[0064] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "exemplary embodiment", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the described specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a combined manner.

[0065] A smart parking management system, as shown in Figure 1 includes an information acquisition module 10, a data analysis module 20, a parking space calculation module 30, an entry difference calculation module 40, a parking space misappropriation control module 50, a vehicle access control module 60 and a vehicle exit control module 70.

[0066] The information acquisition module 10 at least includes a vehicle information acquisition sub-module and a parking space state monitoring sub-module.

[0067] The vehicle information acquisition sub-module is used for acquiring vehicle information, and is at least integrated with a high-definition camera and a laser sensor.

[0068] The high-definition camera is used for scanning a license plate to identify information such as a license plate number and a license plate color, and vehicle type information and a charging type are obtained based on the information obtained by scanning the license plate. The vehicle type includes an electric vehicle and a non-electric vehicle, and the charging type includes a temporary vehicle, a long-term vehicle, and a special vehicle. The long-term vehicle is a license plate for long-term rental such as monthly or yearly rental, and the long-term vehicle is not additionally charged when entering or leaving the parking lot within the rental validity period. The temporary vehicle is a license plate that is charged by timing after entering the parking lot. The special vehicle is a license plate with special information on the license plate, and the special information includes specific characters and letters on the license plate number or a specific license plate color. The special information is pre-recorded in the system, and the special vehicle can enjoy parking discounts or be exempted from parking fees after entering the parking lot.

[0069] The parking space state monitoring sub-module is used for detecting the use of ordinary parking spaces and charging parking spaces. The parking space state monitoring sub-module at least requires to identify the charging condition of the charging parking space, and the identification method can be a combination of the high-definition camera and the charging state of the charging seat, or a pre-set two-dimensional code and the like to collect information and start the charging seat charging input method to obtain.

[0070] The idle amount of the ordinary parking space is calculated based on the total amount of the ordinary parking space, the number of vehicles entering and leaving the parking lot, and the number of vehicles in charging.

[0071] The data analysis module 20 is used for judging whether to enter a peak period, and if it is identified that the peak period is entered, the historical average idle number of the charging parking space, the historical parking gap rate of the long-term vehicle, and the historical average parking time of the temporary vehicle in the same peak period are analyzed based on the historical data.

[0072] The parking space calculation module 30 is used for fusion analysis based on the historical average idle number of the charging parking space, the historical parking gap rate of the long-term vehicle, and the historical average parking time of the temporary vehicle, and dynamically calculates the number of charging parking spaces that can be temporarily used as ordinary parking spaces.

[0073] The entry difference calculation module 40 is used for real-time acquisition of the entry amount of the long-term vehicle in the peak period, and calculation of the entry difference of the long-term vehicle based on the predicted entry amount of the long-term vehicle in the peak period.

[0074] The parking space utilization control module 50 is used for utilizing the charging parking space as a temporary ordinary parking space when the entry difference of the long-term vehicle is greater than the number of idle ordinary parking spaces, and stopping the utilization of the charging parking space when the number of utilized charging parking spaces is greater than or equal to the number of charging parking spaces that can be utilized, or the idle amount of the charging parking space is less than a preset value.

[0075] The vehicle access control module 60 prohibits the temporary vehicle from entering if the long-term vehicle access difference is greater than the number of currently idle ordinary parking spaces and the charging parking space is stopped from being used, or the vehicle size is greater than a preset value.

[0076] The vehicle exit control module 70 includes a high-definition camera, which identifies the vehicle information of the license plate when detecting the vehicle exit and performs a charge calculation. In this regard, the temporary vehicle charge can be reduced or exempted for coupons, merchant discounts, etc.

[0077] The above-mentioned system corresponds to a smart parking management method, which specifically includes the following steps:

[0078] S100, real-time acquisition of vehicle information, ordinary parking space idle amount and charging parking space idle amount, the vehicle information including vehicle type, charge type and vehicle size, the vehicle type including electric vehicle and non-electric vehicle, and the charge type including temporary vehicle, long-term vehicle and special vehicle.

[0079] S200, if the peak period is identified, the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking time of temporary vehicles in the same peak period are analyzed based on historical data.

[0080] Specifically, the method for obtaining the historical average idle number of charging parking spaces includes:

[0081] Step 1: based on historical data, calculate the historical average occupancy rate of charging parking spaces.

[0082] In this embodiment, the charging time is used instead of the occupancy of the parking space to calculate the actual charging demand of the charging parking space, which is used to know the actual charging demand of the charging parking space. This step specifically includes:

[0083] Based on historical data, obtain the actual charging time of all charging parking spaces corresponding to the same peak period;

[0084] Calculate the average charging time based on the actual charging time of the charging parking space;

[0085] Calculate the theoretical charging time of the peak period based on the duration of the peak period and the total number of charging parking spaces;

[0086] Calculate the historical average occupancy rate of charging parking spaces based on the average charging time and the theoretical charging time.

[0087] Specifically, in the acquisition, the data is obtained from the historical data in units of days and forms a plurality of data sets, each data set including charging data of all charging parking spaces in the peak period of the day, so as to obtain the actual charging time of the charging parking space of the day by summing up the data set. Then, the average charging time is obtained by averaging the data in units of days.

[0088] The theoretical charging duration refers to a theoretical value of total charging of all charging parking spaces in a peak period.

[0089] Based on the above settings, the calculation formula of the historical average occupancy rate of the charging parking space is as follows:

[0090] ;

[0091] In the formula, R c is the historical average occupancy rate of the charging parking space, T i c-occ is the charging duration of the charging parking space on the i-th day in the peak period, T total is the duration of the peak period, and M c is the total number of charging parking spaces.

[0092] Step 2: Based on the historical average occupancy rate of the charging parking space and the total number of charging parking spaces, the historical average idle number of the charging parking space is calculated.

[0093] The historical average idle number of the charging parking space needs to be rounded after calculation, so the calculation formula of the historical average idle number of the charging parking space is as follows:

[0094] ;

[0095] In the formula, M k is the historical average idle number of the charging parking space, and floor() is the rounding function.

[0096] The method for obtaining the historical parking gap rate of long-term vehicles includes the following steps:

[0097] Based on historical data, the number of long-term vehicles without parking spaces in the same peak period is obtained, and the number of long-term vehicles without parking spaces represents the number of long-term vehicles whose idle number of ordinary parking spaces is 0 when entering.

[0098] The total number of long-term vehicles entering in the same peak period is obtained.

[0099] Based on the number of long-term vehicles without parking spaces and the total number of long-term vehicles entering, the historical parking gap rate of long-term vehicles is calculated, and the specific calculation formula of the historical parking gap rate of long-term vehicles is as follows:

[0100] ;

[0101] In the formula, R L is the historical parking gap rate of long-term vehicles, M L i is the number of long-term vehicles whose idle number of ordinary parking spaces is 0 when entering on the i-th day in the peak period, M 总 i is the total number of long-term vehicles entering in the peak period on the i-th day.

[0102] The method for obtaining the average parking duration of the temporary vehicle history comprises the following steps:

[0103] Based on the historical data, the total parking duration of the temporary vehicle entering in the same peak period is obtained.

[0104] The total number of temporary vehicles entering in the same peak period is obtained.

[0105] Based on the total parking duration of the temporary vehicle and the total number of temporary vehicles entering, the average parking duration of the temporary vehicle history is calculated, and the calculation formula of the average parking duration of the temporary vehicle history is as follows:

[0106] ;

[0107] In the formula, T t is the average parking duration of the temporary vehicle history, T i is the total parking duration of the temporary vehicle entering in the i-th day in the peak period, and M t is the total number of temporary vehicles entering in the i-th day in the peak period.

[0108] S300, based on the average idle number of the charging parking space history, the historical parking gap rate of the long-term vehicle and the average parking duration of the temporary vehicle history, fusion analysis is performed, and the number of charging parking spaces that can be temporarily used as ordinary parking spaces is dynamically calculated.

[0109] Specifically, in this step, first, the parking gap number of the long-term vehicle at present is predicted based on the historical parking gap rate of the long-term vehicle. Then, the parking gap number of the long-term vehicle at present is fused with the average idle number of the charging parking space history, and finally, the number of charging parking spaces that can be used is obtained through attenuation calculation based on the average parking duration of the temporary vehicle history.

[0110] In the embodiment, the step of predicting the parking gap number of the long-term vehicle at present based on the historical parking gap rate of the long-term vehicle comprises the following steps:

[0111] Based on the historical data, the total number of historical entries of the long-term vehicle in the same peak period and the historical registration number of the long-term vehicle are obtained, and the historical entry proportion of the long-term vehicle is calculated. The historical entry proportion of the long-term vehicle is an average value, so the entry proportion of each day is calculated by the ratio of the total number of historical entries of the long-term vehicle to the historical registration number of the long-term vehicle, and then the average value is obtained by taking the day as a unit to obtain the historical entry proportion of the long-term vehicle.

[0112] Then, the current registration number of the long-term vehicle is obtained.

[0113] Then, based on the historical entry proportion of the long-term vehicle and the current registration number of the long-term vehicle, the product is obtained. It should be noted that in the embodiment, only a prediction method for the long-term vehicle entry prediction quantity is provided, and other methods can also be used to obtain the long-term vehicle entry prediction quantity, such as prediction by a model.

[0114] Finally, the number of parking gaps for the long-term vehicles at present is calculated by the product of the long-term vehicle entry prediction quantity and the long-term vehicle historical parking gap rate.

[0115] The number of movable charging parking spaces has multiple calculation methods according to different fusion methods of the number of parking gaps for the long-term vehicles at present and the historical average idle number of charging parking spaces.

[0116] In one embodiment, the calculation formula of the number of movable charging parking spaces is:

[0117] ;

[0118] In the formula, M is the number of movable charging parking spaces, M is the historical average idle number of charging parking spaces, M is the number of parking gaps for the long-term vehicles at present, λ is a decay coefficient, T is the historical average parking duration of the temporary vehicles, T is the duration of the nth peak period, W and W are weight coefficients, and W + W = 1. A k L T 高 n

[0119] In another embodiment, the calculation formula of the number of movable charging parking spaces is:

[0120] ;

[0121] In the formula, M is the number of movable charging parking spaces, M is the historical average idle number of charging parking spaces, M is the number of parking gaps for the long-term vehicles at present, λ is a decay coefficient, T is the historical average parking duration of the temporary vehicles, T is the duration of the nth peak period, W and W are weight coefficients, and W + W = 1. A L T 高 n K L K L

[0122] S400, the entry quantity of the long-term vehicles in the peak period is acquired in real time, and the entry difference of the long-term vehicles is calculated based on the predicted long-term vehicle entry prediction quantity in the peak period.

[0123] S500, if the entry difference of the long-term vehicles is greater than the number of idle ordinary parking spaces at present, the charging parking spaces are used as temporary ordinary parking spaces; when the number of used charging parking spaces is greater than or equal to the number of movable charging parking spaces, or the idle quantity of the charging parking spaces is less than a preset value, the use of the charging parking spaces is stopped.

[0124] ​​​​​​​​​​​​​S600, if the long-term vehicle entry difference is greater than the number of currently idle normal parking spaces and the charging parking space is stopped from being used, or the vehicle size is greater than a preset value, the temporary vehicle is prohibited from entering.

[0125] The embodiments of the present application are preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A smart parking management method, characterized in that, The method comprises the following steps: Real-time acquisition of vehicle information, general parking space idle quantity and charging parking space idle quantity, wherein the vehicle information comprises vehicle type, charging type and vehicle size, the vehicle type comprises electric vehicle and non-electric vehicle, and the charging type comprises temporary vehicle, long-term vehicle and special vehicle; If it is identified that the peak period is entered, the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles in the same peak period are analyzed based on historical data; Based on the historical average idle number of charging parking spaces, the historical parking gap rate of long-term vehicles and the historical average parking duration of temporary vehicles, fusion analysis is performed to dynamically calculate the number of charging parking spaces that can be temporarily used as general parking spaces, specifically, Based on the historical parking gap rate of long-term vehicles, the parking gap number of long-term vehicles at present is predicted; The parking gap number of long-term vehicles at present and the historical average idle number of charging parking spaces are fused, and the number of charging parking spaces that can be used is calculated based on the historical average parking duration of temporary vehicles. The calculation formula of the number of charging parking spaces that can be used is: ； In the formula, M A is the number of available charging parking spaces, M k is the historical average number of idle charging parking spaces, M L is the number of parking gaps for long-term vehicles, λ is a decay coefficient, T t is the historical average parking duration for temporary vehicles, T 高 n is the duration of the nth peak period; Or, ； In the formula, M A is the number of available charging parking spaces, M k is the historical average number of idle charging parking spaces, M L is the number of parking gaps for long-term vehicles, λ is the decay coefficient, T t is the historical average parking duration for temporary vehicles, T 高 n is the duration of the nth peak period, W K and W L are weight coefficients, and W K +W L =1. Real-time acquisition of the number of long-term vehicles entering the peak period, and calculation of the long-term vehicle entry difference based on the predicted number of long-term vehicles entering the peak period; If the long-term vehicle entry difference is greater than the number of general parking spaces that are idle at present, the charging parking spaces are used as temporary general parking spaces; When the number of charging parking spaces used is greater than or equal to the number of charging parking spaces that can be used, or the charging parking space idle quantity is less than a preset value, the charging parking spaces are stopped from being used; If the long-term vehicle entry difference is greater than the number of general parking spaces that are idle at present and the charging parking spaces are stopped from being used, or the vehicle size is greater than a preset value, the temporary vehicle is prohibited from entering. 2.The intelligent parking management method of claim 1, wherein, The method for obtaining the historical average idle number of charging parking spaces comprises: Based on historical data, the historical average occupancy rate of charging parking spaces is calculated; Based on the historical average occupancy rate of charging parking spaces and the total number of charging parking spaces, the historical average idle number of charging parking spaces is calculated. 3.The intelligent parking management method of claim 2, wherein, The step of calculating the historical average occupancy rate of charging parking spaces based on historical data specifically comprises: Based on historical data, the actual charging duration of all charging parking spaces corresponding to the same peak period is obtained; Based on the actual charging duration of charging parking spaces, the average charging duration is calculated; Based on the duration of the peak period and the total number of charging parking spaces, the theoretical charging duration of the peak period is calculated; Based on the average charging duration and the theoretical charging duration, the historical average occupancy rate of charging parking spaces is calculated. 4.The intelligent parking management method of claim 1, wherein, The method for obtaining the historical parking gap rate of long-term vehicles comprises: Based on historical data, the number of long-term vehicles without parking spaces in the same peak period is obtained, which represents the number of long-term vehicles with 0 idle general parking spaces when entering; The total number of long-term vehicles entering the same peak period is obtained; Based on the number of long-term vehicles without parking spaces and the total number of long-term vehicles entering, the historical parking gap rate of long-term vehicles is calculated.

5. The intelligent parking management method of claim 1, wherein, The method for obtaining the historical average parking duration of temporary vehicles comprises: Based on historical data, the total parking duration of temporary vehicles entering the same peak period is obtained; The total number of temporary vehicles entering the same peak period is obtained; Based on the total parking duration of temporary vehicles and the total number of temporary vehicles entering, the historical average parking duration of temporary vehicles is calculated.

6. The intelligent parking management method of claim 1, wherein, The step of predicting the parking gap number of the long-term vehicle at present based on the long-term vehicle historical parking gap rate specifically comprises the following steps: Based on the historical data, the historical total number of entries of the long-term vehicle and the historical registration number of the long-term vehicle in the same peak period are obtained, and the historical entry proportion of the long-term vehicle is calculated and obtained; The current registration number of the long-term vehicle is obtained; The long-term vehicle entry prediction quantity is estimated based on the historical entry proportion of the long-term vehicle and the current registration number of the long-term vehicle, and the parking gap number of the long-term vehicle at present is calculated by the long-term vehicle entry prediction quantity and the long-term vehicle historical parking gap rate.

7. A smart parking management system, characterized by, For implementing the method as claimed in any one of claims 1-6, comprising: An information acquisition module (10) is configured to acquire vehicle information, general parking space idle quantity and charging parking space idle quantity in real time, wherein the vehicle information comprises vehicle type, charging type and vehicle size, the vehicle type comprises electric vehicle and non-electric vehicle, and the charging type comprises temporary vehicle, long-term vehicle and special vehicle; A data analysis module (20) is configured to determine whether to enter a peak period, and if it is determined that the peak period is entered, to analyze the charging parking space historical average idle number, the long-term vehicle historical parking gap rate and the temporary vehicle historical average parking duration in the same peak period based on historical data; A parking space calculation module (30) is configured to perform fusion analysis based on the charging parking space historical average idle number, the long-term vehicle historical parking gap rate and the temporary vehicle historical average parking duration, and dynamically calculate the number of available charging parking spaces that can be temporarily used as general parking spaces; An entry difference calculation module (40) is configured to acquire the entry quantity of the long-term vehicle in the peak period in real time, and calculate the long-term vehicle entry difference based on the predicted long-term vehicle entry prediction quantity in the peak period; A parking space transfer control module (50) is configured to transfer the charging parking space to be used as temporary general parking space if the long-term vehicle entry difference is greater than the number of general parking spaces that are idle at present; and stop transferring the charging parking space when the number of transferred charging parking spaces is greater than or equal to the number of available charging parking spaces that can be transferred, or the charging parking space idle quantity is less than a preset value; A vehicle access control module (60) is configured to prohibit the temporary vehicle from entering when the long-term vehicle entry difference is greater than the number of general parking spaces that are idle at present and the charging parking space is stopped from being transferred, or the vehicle size is greater than a preset value.

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