Multi-factor dynamic parking charging method and system, electronic equipment and storage medium

Abstract

The invention provides a multi-factor dynamic parking charging method and system, electronic equipment and a storage medium, and belongs to the technical field of parking charging, and the method comprises the steps: determining a dynamic unit price corresponding to each charging period of a target vehicle based on a charging unit price corresponding to a parking lot and a charging coefficient corresponding to each charging period of the target vehicle; the billing cycle is obtained based on division of a parking time period of the target vehicle in the parking lot, and the parking time period comprises a charging time period and / or a parking time period; determining the parking fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to each charging period of the target vehicle and the duration of each charging period; the charging coefficient is determined based on the influence coefficient values of a plurality of influence factors in each charging period, and the influence factors are factors influencing the parking fee of the parking lot. According to the multi-factor dynamic parking charging method and system, the electronic equipment and the storage medium provided by the invention, the use efficiency of the parking lot of the charging station can be improved, and the user experience is enhanced.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of parking charging, and more specifically, relates to a multi-factor dynamic parking charging method and system, electronic equipment, and storage medium. Background Art

[0002] With the popularity of electric vehicles, more and more users choose to charge in parking lots with charging piles. The management efficiency and service quality directly affect the charging experience of electric vehicle users and the efficiency of parking lot use. However, the billing method of existing parking lots is relatively simple, which cannot maximize the use of parking spaces and affects the user experience. Summary of the invention

[0003] The purpose of the present disclosure is to provide a multi-factor dynamic parking billing method and system, electronic equipment, and storage medium to improve the utilization efficiency of charging station parking lots and enhance user experience.

[0004] In a first aspect of an embodiment of the present disclosure, a multi-factor dynamic parking charging method is provided, comprising: Determine the dynamic unit price corresponding to the target vehicle in each billing period based on the billing unit price corresponding to the parking lot and the billing coefficient corresponding to the target vehicle in each billing period; Determine the stay fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to the target vehicle in each billing cycle and the duration of each billing cycle; The billing period is obtained based on the target vehicle's stay period in the parking lot, and the stay period includes a charging period and / or a parking period; The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each charging period, and the influence factors are factors that affect the stay fee of the parking lot.

[0005] A second aspect of the embodiments of the present disclosure provides a multi-factor dynamic parking fee charging system, including: A dynamic unit price calculation module, used to determine the dynamic unit price corresponding to the target vehicle in each billing period based on the billing unit price corresponding to the parking lot and the billing coefficient corresponding to the target vehicle in each billing period; A parking fee calculation module, used to determine the stay fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to the target vehicle in each billing cycle and the duration of each billing cycle; The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each charging period, and the influence factors are factors that affect the stay fee of the parking lot.

[0006] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above-mentioned multi-factor dynamic parking billing method when executing the computer program.

[0007] According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the multi-factor dynamic parking billing method are implemented.

[0008] The multi-factor dynamic parking fee charging method and system, electronic device, and storage medium provided by the embodiments of the present disclosure have the following beneficial effects: The disclosed embodiment divides the vehicle's stay period in the parking lot into two categories: parking period and charging period, and each period is divided into multiple billing periods. On this basis, the disclosed embodiment can calculate the billing coefficient in each billing period based on the impact coefficient value of the impact factor in each billing period, so as to dynamically adjust the unit price in different time periods and different billing periods, and charge the vehicle's stay in the parking lot based on the dynamically adjusted unit price.

[0009] The scheme of the embodiment of the present disclosure is set in this way because the inventor of the present disclosure has analyzed and found that the reason for the low efficiency of parking lot use is that the existing parking lot charging system does not distinguish between charging time and parking time when calculating the parking fee, which causes users to continue to occupy parking spaces after charging is completed, thereby affecting the efficiency of parking lot use. Therefore, the inventor of the present disclosure first divides the parking time period of the vehicle in the parking lot, so as to set different charging unit prices for different types of time periods, thereby guiding users to leave the parking lot as soon as possible after charging is completed.

[0010] On this basis, the disclosed embodiment not only distinguishes between charging periods and parking periods, but also introduces a dynamic unit price mechanism in each small billing cycle, which can not only make parking charges more reasonable and accurate, but also further enhance the guiding role of the billing price on users, thereby further improving the utilization efficiency of the parking lot and ensuring the overall user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1A flowchart of a multi-factor dynamic parking fee charging method provided in an embodiment of the present disclosure; Figure 2 A flowchart of charging a vehicle in a parking lot provided by an embodiment of the present disclosure; Figure 3 A structural block diagram of a multi-factor dynamic parking fee charging system provided by an embodiment of the present disclosure; Figure 4 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0013] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0014] In order to make the purpose, technical solutions and advantages of the present disclosure more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0015] Please refer to Figure 1 , Figure 1 A flowchart of a multi-factor dynamic parking fee charging method provided in an embodiment of the present disclosure is provided, and the method includes: S101: Determine a dynamic unit price corresponding to a target vehicle in each billing period based on a billing unit price corresponding to the parking lot and a billing coefficient corresponding to the target vehicle in each billing period. The billing period is obtained based on the stay period of the target vehicle in the parking lot, and the stay period includes a charging period and / or a parking period.

[0016] In this embodiment, the existing charging station parking lot can provide both charging services and parking services for users' vehicles, but the billing method for vehicles in the parking lot is relatively simple, charging fees are charged during the charging period, and parking fees are charged during the non-charging period. When vehicles in vacant parking spaces are only parked but not charged, they will occupy the position of vehicles that need to be charged, making it difficult to achieve effective use of parking spaces. Based on this, this embodiment provides a multi-factor dynamic parking billing method that can realize the dynamic calculation of parking unit prices, and the specific method is as follows: First, obtain the corresponding billing unit price of the parking lot, which includes the charging unit price and / or the parking unit price. The charging unit price and the parking unit price can be set manually or determined by a machine learning model. For example, in this embodiment, the machine learning model can be trained based on the historical data of the parking lot (parking space turnover rate in different time periods, user charging behavior, etc.) to obtain a trained prediction model. The historical data of the parking lot within a specific time period is input into the trained prediction model to obtain the charging unit price or the parking unit price. Among them, the machine learning model can be a recurrent neural network model, a convolutional neural network, a multi-layer perceptron, etc.

[0017] Secondly, obtain the billing coefficient corresponding to the target vehicle in each billing cycle. The target vehicle is a vehicle in the parking lot. Among them, the billing cycle is obtained based on the target vehicle's stay period in the parking lot, and the aforementioned stay period includes a charging period and / or a parking period. In this embodiment, all stay periods can be divided according to preset time intervals. For example, when the target vehicle is only parked in the parking lot, the stay period is the parking period, and the parking period is divided into hours / minutes as a period to obtain N1 parking billing cycles. When the target vehicle is both parked and charged in the parking lot, the stay period is a parking period and a charging period. The parking period is divided into hours / minutes as a period to obtain N2 parking billing cycles, and the charging period is divided into hours / minutes as a period to obtain N3 charging billing cycles.

[0018] Finally, each billing cycle (including parking billing cycle and charging billing cycle) has a corresponding billing coefficient. In this embodiment, the billing unit price corresponding to the parking lot is multiplied by the billing coefficient corresponding to the target vehicle in each billing cycle to obtain the dynamic unit price corresponding to the target vehicle in each billing cycle. In this embodiment, the dynamic unit price in each billing cycle can be the same or different. In this embodiment, the unit price can be set in a dynamic acquisition mode, so that the parking lot can increase the billing unit price when there are few parking spaces, thereby urging vehicles that only park but do not charge to leave the parking lot as soon as possible, release parking spaces, and improve the utilization rate of parking spaces.

[0019] S102: Determine the parking fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to each billing cycle and the duration of each billing cycle. The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each billing cycle, and the influence factor is a factor that affects the parking fee of the parking lot.

[0020] In this embodiment, the billing coefficient corresponding to each billing cycle can be determined based on the influence coefficient value of multiple influencing factors in each billing cycle. Among them, the influencing factor is a factor that affects the parking fee of the parking lot. The influencing factors may include charging time, charging degree, parking fee time, charging pile type, the proportion of free parking spaces in the parking lot, weather characteristics, vehicle parking time period, etc. Among them, weather characteristics can be automatically obtained through IoT sensors or external data sources (such as meteorological API, traffic data platform). For example, the multi-factor dynamic parking billing system automatically connects to the meteorological service interface to obtain real-time weather data. Other influencing factors can be directly obtained through the multi-factor dynamic parking billing system. Among them, the multi-factor dynamic parking billing system is the system used by the method of this application. The parking fee time refers to the fee charged for parking the target vehicle in the parking lot (excluding free parking time and charging time). The charging pile type may include AC charging piles and DC charging piles. The impact coefficient value can be pre-set or automatically calculated and generated according to the real-time situation of the parking lot. For example, if the influencing factor is the charging duration, the influencing coefficient range of the influencing factor is [0.5, 1.5], and the influencing coefficient value of the influencing factor in the pth billing cycle may be 1.2.

[0021] In this embodiment, after determining the dynamic unit price corresponding to each billing cycle of the target vehicle and the duration of each billing cycle, the two can be multiplied to obtain the parking fee of the target vehicle in the parking lot. This method of charging the vehicle's parking in the parking lot based on the dynamically adjusted unit price not only makes the charging method more flexible, but also enhances the guiding role of the charging price on users, thereby further improving the use efficiency of the parking lot and ensuring the overall user experience.

[0022] In this embodiment, when the target vehicle enters the parking lot, the multi-factor dynamic parking charging system starts timing, and when the target vehicle exits the parking lot, the system ends timing. During the whole process, the system can count the total parking time, charging time, free parking time, and paid parking time of the target vehicle. Among them, the billing unit price corresponding to the parking lot may include the charging unit price and the parking fee unit price, and the billing cycle may be one minute. If the target vehicle is both charged and charged for parking in the parking lot, the dynamic unit price may be the charging dynamic unit price per minute when charging; and the dynamic unit price may be the parking dynamic unit price per minute when parking. In this embodiment, the charging dynamic unit price can be determined according to the charging unit price and the billing coefficient corresponding to multiple influencing factors, and the parking dynamic unit price can be determined according to the parking fee unit price and the billing coefficient corresponding to multiple influencing factors. In this embodiment, the stay fee of the target vehicle in the parking lot can be obtained by accumulating the charging fee per minute (the product of the charging dynamic unit price and the billing cycle) and the parking fee per minute (the product of the parking dynamic unit price and the billing cycle). When the vehicle finishes charging and parking and leaves the parking lot, the smart device at the entrance of the parking lot displays the total cost, and the target vehicle can make contactless payments and automatically deduct the fees.

[0023] It can be concluded from the above that the disclosed embodiment divides the vehicle's stay period in the parking lot into two categories: parking period and charging period, and each period is divided into multiple billing periods. On this basis, the disclosed embodiment can calculate the billing coefficient in each billing period based on the impact coefficient value of the impact factor in each billing period, thereby dynamically adjusting the unit price in different time periods and different billing periods, and charging the vehicle's stay in the parking lot based on the dynamically adjusted unit price.

[0024] The scheme of the embodiment of the present disclosure is set in this way because the inventor of the present disclosure has analyzed and found that the reason for the low efficiency of parking lot use is that the existing parking lot charging system does not distinguish between charging time and parking time when calculating the parking fee, which causes users to continue to occupy parking spaces after charging is completed, thereby affecting the efficiency of parking lot use. Therefore, the inventor of the present disclosure first divides the parking time period of the vehicle in the parking lot, so as to set different charging unit prices for different types of time periods, thereby guiding users to leave the parking lot as soon as possible after charging is completed.

[0025] On this basis, the disclosed embodiment not only distinguishes between charging periods and parking periods, but also introduces a dynamic unit price mechanism in each small billing cycle, which can not only make parking charges more reasonable and accurate, but also further enhance the guiding role of the billing price on users, thereby further improving the utilization efficiency of the parking lot and ensuring the overall user experience.

[0026] In one embodiment of the present disclosure, determining a charging coefficient based on the influence coefficient values ​​of multiple influence factors in each charging period includes: In each billing cycle, the influence coefficient values ​​of each influencing factor in each category are integrated and calculated to obtain the comprehensive influence coefficient corresponding to each category of influencing factors in each billing cycle; the category of each influencing factor is related to the degree of influence of the influencing factor on the stay fee; The comprehensive impact coefficient corresponding to each type of impact factor is weighted to obtain the billing coefficient.

[0027] In this embodiment, there are many influencing factors, and the category of each influencing factor can be determined according to the degree of influence of each influencing factor on the stay fee. For example, the influencing factors are divided into two categories, one is the core influencing factor, and the other is the auxiliary influencing factor; wherein the degree of influence of the core influencing factor on the stay fee is greater than the degree of influence of the auxiliary influencing factor on the stay fee. In each billing cycle, this embodiment performs a fusion calculation on the influence coefficient values ​​of each influencing factor in each category of influencing factors to obtain the comprehensive influence coefficient corresponding to each category of influencing factors in each billing cycle. The fusion calculation method of the influence coefficient values ​​of each influencing factor in each category of influencing factors can be the same or different. For example, the comprehensive influence coefficient in the core influencing factor category can be obtained by multiplying the influence coefficient values ​​of each core influencing factor, and the comprehensive influence coefficient in the auxiliary influencing factor category can be obtained by weighted summation based on the influence coefficient values ​​of each core influencing factor.

[0028] In this embodiment, after determining the comprehensive influence coefficient corresponding to each type of influencing factor, the comprehensive influence coefficient corresponding to each type of influencing factor can be weighted to obtain a charging coefficient. Because different types of influencing factors have different effects on the final result, a weight is assigned to the comprehensive influence coefficient corresponding to each type of influencing factor, and each comprehensive influence coefficient is multiplied by its weight and then added to obtain the charging coefficient, which can flexibly adjust the influence of the core influencing factor and the auxiliary influencing factor on the dynamic unit price.

[0029] From the above, it can be concluded that the disclosed embodiment classifies multiple influencing factors according to the degree of influence on the parking fee of the target vehicle, and can accurately determine the effect of different factors on the parking fee. In addition, the disclosed embodiment integrates the coefficient values ​​of each type of influencing factor to obtain a comprehensive influencing coefficient, and then weights the comprehensive influencing coefficient, which can highlight the importance of the core influencing factor, make the billing coefficient more scientific and reasonable, and finally make the calculation of the parking fee more in line with the actual business scenario, and improve the accuracy and rationality of the billing.

[0030] In one embodiment of the present disclosure, determining a charging coefficient based on the influence coefficient values ​​of multiple influence factors in each charging period includes: The first comprehensive coefficient is determined based on the product of the influence coefficient values ​​of the first influence factor in each billing cycle; the first influence factor is an influence factor among multiple influence factors whose influence degree on the stay fee is greater than a preset influence degree value; The influence coefficient value of the second influence factor in each billing cycle is weighted to obtain a second comprehensive coefficient; the second influence factor is an influence factor among the multiple influence factors whose influence degree on the stay fee is less than or equal to a preset influence degree value; The first comprehensive coefficient and the second comprehensive coefficient are weighted to obtain a charging coefficient.

[0031] In this embodiment, the first comprehensive coefficient can also be obtained by weighted average calculation of the influence coefficient value of the first influence factor in each billing cycle, or calculated using a fuzzy logic algorithm based on the influence coefficient value of the first influence factor in each billing cycle. Among them, the first way can be: assigning a weight to each first influence factor, and obtaining the first comprehensive coefficient by weighted summing multiple first influence factors.

[0032] In this embodiment, the first influencing factor is an influencing factor among multiple influencing factors whose influence on the stay fee is greater than a preset influence value. The first influencing factor may be a core influencing factor, such as the proportion of vacant parking spaces in a parking lot, the parking fee duration, the vehicle type, etc. The preset influence value may be set based on historical experience. The first comprehensive coefficient is determined based on the product of the influence coefficient values ​​of the first influencing factor in each billing cycle, which may include: The first comprehensive coefficient is calculated according to the first formula, which is:

[0033] in, is the first comprehensive coefficient, n is the number of core impact factors, is the coefficient corresponding to the ith core impact factor.

[0034] In this embodiment, the second influencing factor is an influencing factor whose influence on the parking fee is less than or equal to a preset influence value among multiple influencing factors. The second influencing factor may be an auxiliary influencing factor, such as weather characteristics, vehicle parking time period, etc. The influence coefficient value of the second influencing factor in each billing cycle is weighted to obtain a second comprehensive coefficient, which may include: The second comprehensive coefficient is calculated according to the second formula, which is:

[0035] in, is the second comprehensive coefficient, m is the number of auxiliary influencing factors, For each auxiliary impact factor The corresponding weight, For each auxiliary impact factor The corresponding coefficient.

[0036] In this embodiment, weighted processing is performed on the first comprehensive coefficient and the second comprehensive coefficient to obtain a charging coefficient, which may include: The charging coefficient is calculated according to the third formula, which is:

[0037] in, Indicates the billing factor. represents the first comprehensive coefficient, represents the second comprehensive coefficient, represents the weight of the second comprehensive coefficient, It is an adjustable parameter with a value range of 0 to 1. Parking lot managers can flexibly adjust the impact of core influencing factors and auxiliary influencing factors on parking fees according to actual operating conditions, which enhances the adaptability and operability of the formula.

[0038] In this embodiment, the first comprehensive coefficient is calculated by multiplication, which can highlight the synergy between the core influencing factors. When multiple core influencing factors tend to increase or decrease the stay fee, the final first comprehensive coefficient will change significantly. The second comprehensive coefficient can relatively smoothly integrate the effects of the auxiliary influencing factors through weighted summation, avoiding excessive fluctuations of a single auxiliary influencing factor on the final second comprehensive coefficient. Therefore, this embodiment clearly distinguishes between core influencing factors and auxiliary influencing factors, and adopts different calculation methods for different types of factors, which can not only highlight the role of key factors, but also smoothly handle the influence of secondary factors. The combination of the product calculation of the core influencing factors and the weighted summation of the auxiliary influencing factors ensures a sensitive response to the key factors while avoiding excessive instability of the stay fee due to fluctuations of individual factors, thereby improving the stability and reliability of the system.

[0039] In one embodiment of the present disclosure, the stay period includes the parking period, and the multiple influencing factors include the vehicle type and the proportion of free parking spaces in the parking lot; the multi-factor dynamic parking charging method also includes: In response to the number of vacant parking spaces decreasing at a rate greater than a preset rate value, or the charging coefficient of the target vehicle during the parking period being greater than the pre-designed charging coefficient, the impact coefficient value corresponding to the vehicle type and / or the impact coefficient value corresponding to the proportion of vacant parking spaces is increased, so as to increase the dynamic unit price of the target vehicle during the parking period.

[0040] In this embodiment, if the ratio of the decrease in the number of free parking spaces is greater than the preset ratio value or the charging coefficient of the target vehicle during the parking period is greater than the pre-designed charging coefficient, it indicates that the number of free parking spaces in the parking lot is showing a downward trend. This embodiment can increase the dynamic unit price of the target vehicle during the parking period through three processing methods, thereby urging non-new energy vehicles to leave the parking lot as soon as possible. The first method is to increase the impact coefficient value corresponding to non-new energy vehicles and increase the impact coefficient value corresponding to the proportion of free parking spaces at the same time; the second method is to only increase the impact coefficient value corresponding to non-new energy vehicles; the third method is to increase the impact coefficient value corresponding to the proportion of free parking spaces. Based on this method, this embodiment can allow non-new energy vehicles to temporarily occupy parking spaces when there are sufficient free parking spaces. When parking spaces are tight, by increasing the dynamic unit price of the target vehicle during the parking period, non-new energy vehicles can be effectively urged to leave the parking lot as soon as possible, thereby improving the parking space utilization rate of the parking lot and reducing invalid occupation.

[0041] In one embodiment of the present disclosure, the vehicle types include new energy vehicles and non-new energy vehicles, and the influence coefficient value corresponding to the new energy vehicle is smaller than the influence coefficient value corresponding to the non-new energy vehicle.

[0042] In this embodiment, the vehicle types include new energy vehicles and non-new energy vehicles, and the impact coefficient value corresponding to the new energy vehicle is smaller than the impact coefficient value corresponding to the non-new energy vehicle. Among them, the impact coefficient value corresponding to the new energy vehicle is relatively small, for example, the value of the coefficient can be 0.9; the impact coefficient value corresponding to the non-new energy vehicle is relatively large, for example, the value of the coefficient can be 1.1. Because the impact coefficient value corresponding to the non-new energy vehicle is relatively large, when there are few vacant parking spaces, the dynamic unit price of the non-new energy vehicle can be quickly increased, thereby effectively urging the non-new energy vehicle to leave the parking lot as soon as possible, improving the utilization rate of the parking lot, and reducing invalid parking spaces.

[0043] In one embodiment of the present disclosure, the dwell period includes a parking period, and the plurality of influencing factors include a vehicle type; The multi-factor dynamic parking pricing method also includes: In response to the number of free parking spaces being less than a preset number, the influence coefficient value corresponding to the vehicle type is increased.

[0044] In this embodiment, the number of vacant parking spaces may be compared with a preset number. When the number of vacant parking spaces is less than the preset number, the impact coefficient value corresponding to the non-new energy vehicle is increased.

[0045] The judgment conditions of the present embodiment are different from those of the previous embodiment. The present embodiment compares the number of free parking spaces with a preset number, emphasizing the number of free parking spaces; while the previous embodiment compares the decrease ratio of the number of free parking spaces with a preset ratio value, emphasizing the change trend of the number of free parking spaces. In addition, the increase ratio of the impact coefficient value corresponding to non-new energy vehicles in the present embodiment can be greater than the increase ratio of the impact coefficient value corresponding to non-new energy vehicles in the previous embodiment. Although the judgment conditions of the present embodiment are different from those of the previous embodiment, and the increase ratio of the impact coefficient value corresponding to non-new energy vehicles is also different, the ultimate purpose is the same, that is, this can achieve the beneficial effect of effectively urging non-new energy vehicles to leave the parking lot as soon as possible, improve the utilization rate of parking spaces in the parking lot, and reduce invalid occupation.

[0046] In one embodiment of the present disclosure, the stay period includes a parking period, and the multi-factor dynamic parking charging method further includes: In response to the charging coefficient of the target vehicle during the parking period being less than or equal to the pre-designed charging coefficient, first indication information is generated; the first indication information is used to instruct the smart device at the entrance of the parking lot to update the vehicle parking indication information.

[0047] In this embodiment, the pre-designed fee coefficient can be set manually or predicted by a machine model based on the historical data of the parking lot. The first indication information is used to instruct the smart device at the entrance of the parking lot to update the vehicle parking indication information. The vehicle parking indication information can be "non-new energy vehicles can enter the parking lot for temporary parking". The information can be displayed by the smart device in text or prompted by voice.

[0048] That is to say, in this embodiment, when the billing coefficient of the target vehicle during the parking period is less than or equal to the pre-designed billing coefficient, it means that the utilization rate of the vacant parking spaces in the parking lot is low. At this time, non-energy vehicles can be allowed to enter, increasing the utilization efficiency of the parking lot and facilitating the rational use of resources.

[0049] In one embodiment of the present disclosure, reference may be made to Figure 2 , Figure 2 The charging process of the target vehicle from entering the parking lot to leaving the parking lot is given.

[0050] In this embodiment, the charging process of the target vehicle from entering the parking lot to leaving the parking lot can be: The target vehicle enters the parking lot, and the smart device at the entrance of the parking lot (such as a gate) identifies the license plate number and sends the license plate number to the multi-factor dynamic parking billing system. The system can determine whether the target vehicle is a new energy vehicle based on the license plate number, and add a sign to the target vehicle to count the types and corresponding quantities of vehicles in the parking lot. After the user parks the target vehicle in an empty parking space, he can scan the code through the APP to charge and bind the license plate number. At the same time, the multi-factor dynamic parking billing system begins to count the total parking time, charging time, charging degree, free parking time, parking fee charging time, etc. The multi-factor dynamic parking billing system begins to configure the factors affecting charging, and dynamically calculates the charging time coefficient, charging degree coefficient, parking fee charging time coefficient, charging pile type coefficient, etc. The multi-factor dynamic parking billing system will also configure the factors affecting the calculation of parking fees, dynamically calculate the idle parking space ratio coefficient, vehicle parking time period coefficient, manually set weather characteristics, configure the parking system coefficient threshold (pre-designed charging coefficient), parking fee basic unit price (i.e. charging unit price), etc. When the target vehicle leaves the parking lot, the system calculates the total cost of charging and parking fees based on the above parameters, and the user scans the code to pay or pays by ETC. If the system determines that the charging coefficient of the target vehicle during the parking period is less than or equal to the pre-designed charging coefficient, the smart device at the entrance of the parking lot will be controlled to give text or voice prompts, and non-new energy vehicles can also park temporarily.

[0051] In this embodiment, when a vehicle enters a parking lot, RFID (radio frequency identification) technology or ETC equipment can also be used to identify the vehicle's identity instead of camera identification. For example, an RFID tag or ETC device is installed on the vehicle, and the parking lot entrance obtains vehicle information through a reader. When the vehicle leaves the parking lot, the smart device can also integrate biometric payment (such as face recognition, fingerprint payment) or digital currency payment instead of scanning code or ETC payment. For example, a biometric device is set at the exit of the parking lot, and users are automatically deducted through facial recognition.

[0052] In summary, the embodiments of the present disclosure can provide users with a more fair and reasonable parking fee calculation method, avoiding additional fees caused by long-term occupation of parking spaces. The present disclosure also comprehensively considers multiple factors such as the charging time of new energy vehicles, parking time, and real-time occupancy of parking lots, making the parking fee calculation more scientific and fair.

[0053] Corresponding to the multi-factor dynamic parking charging method of the above embodiment, Figure 3 This is a structural block diagram of a multi-factor dynamic parking fee charging system provided by an embodiment of the present disclosure. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. Figure 3 The multi-factor dynamic parking fee calculation system 20 includes: a dynamic unit price calculation module 21 and a parking fee calculation module 22.

[0054] The dynamic unit price calculation module 21 is used to determine the dynamic unit price corresponding to the target vehicle in each billing period based on the billing unit price corresponding to the parking lot and the billing coefficient corresponding to the target vehicle in each billing period; The parking fee calculation module 22 is used to determine the parking fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to each billing cycle of the target vehicle and the duration of each billing cycle; The billing cycle is obtained based on the target vehicle's stay period in the parking lot, and the stay period includes a charging period and / or a parking period; The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each charging cycle, and the influence factors are factors that affect the parking fee of the parking lot.

[0055] In one embodiment of the present disclosure, the parking fee calculation module 22 is specifically used to: In each billing cycle, the influence coefficient values ​​of each influencing factor in each category are integrated and calculated to obtain the comprehensive influence coefficient corresponding to each category of influencing factors in each billing cycle; the category of each influencing factor is related to the degree of influence of the influencing factor on the stay fee; The comprehensive impact coefficient corresponding to each type of impact factor is weighted to obtain the billing coefficient.

[0056] In one embodiment of the present disclosure, the parking fee calculation module 22 is specifically used to: The first comprehensive coefficient is determined based on the product of the influence coefficient values ​​of the first influence factor in each billing cycle; the first influence factor is an influence factor among multiple influence factors whose influence degree on the stay fee is greater than a preset influence degree value; The influence coefficient value of the second influence factor in each billing cycle is weighted to obtain a second comprehensive coefficient; the second influence factor is an influence factor among the multiple influence factors whose influence degree on the stay fee is less than or equal to a preset influence degree value; The first comprehensive coefficient and the second comprehensive coefficient are weighted to obtain a charging coefficient.

[0057] In one embodiment of the present disclosure, the stay period includes a parking period, and the plurality of influencing factors include vehicle type, a proportion of free parking spaces in the parking lot; The dynamic unit price calculation module 21 is specifically used for: In response to the number of vacant parking spaces decreasing at a rate greater than a preset rate value, or the charging coefficient of the target vehicle during the parking period being greater than the pre-designed charging coefficient, the impact coefficient value corresponding to the vehicle type and / or the impact coefficient value corresponding to the proportion of vacant parking spaces is increased, so as to increase the dynamic unit price of the target vehicle during the parking period.

[0058] In one embodiment of the present disclosure, the vehicle types include new energy vehicles and non-new energy vehicles, and the influence coefficient value corresponding to the new energy vehicle is smaller than the influence coefficient value corresponding to the non-new energy vehicle.

[0059] In one embodiment of the present disclosure, the dwell period includes a parking period, and the plurality of influencing factors include a vehicle type; The dynamic unit price calculation module 21 is specifically used for: In response to the number of free parking spaces being less than a preset number, the influence coefficient value corresponding to the vehicle type is increased.

[0060] In one embodiment of the present disclosure, the stay period includes a parking period.

[0061] The multi-factor dynamic parking fee system 20 also includes an instruction generation module; The instruction generation module is used to generate first indication information in response to the charging coefficient of the target vehicle during the parking period being less than or equal to the pre-designed charging coefficient; the first indication information is used to instruct the smart device at the entrance of the parking lot to update the vehicle parking indication information.

[0062] See also Figure 4 , Figure 4 A schematic block diagram of an electronic device provided by an embodiment of the present disclosure. Figure 4 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303 and one or more memories 304. The processors 301, input devices 302, output devices 303 and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned device embodiments, such as Figure 3 The functions of the dynamic unit price calculation module 21 and the parking fee calculation module 22 are shown.

[0063] It should be understood that in the embodiment of the present disclosure, the processor 301 may be a central processing unit (CPU), and the processor may also be 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 the processor may also be any conventional processor, etc.

[0064] The input device 302 may include a touch panel, a fingerprint collection sensor (for collecting the user's fingerprint information and fingerprint direction information), a microphone, etc., and the output device 303 may include a display (LCD, etc.), a speaker, etc.

[0065] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0066] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present disclosure can execute the implementation methods described in the first and second embodiments of the multi-factor dynamic parking billing method provided in the embodiments of the present disclosure, and can also execute the implementation methods of the electronic device described in the embodiments of the present disclosure, which will not be repeated here.

[0067] In another embodiment of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by the processor, all or part of the processes in the above-mentioned embodiment method are implemented, and the computer program can also be completed by instructing the relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, 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, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic 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, etc.

[0068] The computer-readable storage medium may be an internal storage unit of the electronic device of any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Furthermore, the computer-readable storage medium may also include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

[0069] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.

[0070] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0071] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or it can be an electrical, mechanical or other form of connection.

[0072] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present disclosure.

[0073] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0074] The above are only specific embodiments of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present disclosure, and these modifications or replacements should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A multi-factor dynamic parking fee charging method, characterized in that: include: Determine the dynamic unit price corresponding to the target vehicle in each billing period based on the billing unit price corresponding to the parking lot and the billing coefficient corresponding to the target vehicle in each billing period; Determine the stay fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to the target vehicle in each billing cycle and the duration of each billing cycle; The billing period is obtained based on the target vehicle's stay period in the parking lot, and the stay period includes a charging period and / or a parking period; The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each charging period, and the influence factors are factors that affect the stay fee of the parking lot.

2. The multi-factor dynamic parking fee charging method according to claim 1, characterized in that: Determining the charging coefficient based on the influence coefficient values ​​of multiple influence factors in each charging period includes: In each billing cycle, the influence coefficient values ​​of each influencing factor in each category of influencing factors are integrated and calculated to obtain the comprehensive influence coefficient corresponding to each category of influencing factors in each billing cycle; the category of each influencing factor is related to the degree of influence of the influencing factor on the stay fee; The comprehensive influence coefficient corresponding to each type of influence factor is weighted to obtain the billing coefficient.

3. The multi-factor dynamic parking fee charging method according to claim 1, characterized in that: Determining the charging coefficient based on the influence coefficient values ​​of multiple influence factors in each charging period includes: The first comprehensive coefficient is determined based on the product of the influence coefficient values ​​of the first influence factor in each billing cycle; the first influence factor is an influence factor among the multiple influence factors whose influence on the stay fee is greater than a preset influence value; The influence coefficient value of the second influence factor in each billing cycle is weighted to obtain a second comprehensive coefficient; the second influence factor is an influence factor among the multiple influence factors whose influence degree on the stay fee is less than or equal to the preset influence degree value; The first comprehensive coefficient and the second comprehensive coefficient are weighted to obtain a billing coefficient.

4. The multi-factor dynamic parking fee charging method according to claim 1, characterized in that: The stay period includes the parking period, and the multiple influencing factors include vehicle type and the proportion of free parking spaces in the parking lot; The multi-factor dynamic parking charging method also includes: In response to the number of vacant parking spaces decreasing at a rate greater than a preset rate value, or the charging coefficient of the target vehicle during the parking period being greater than a pre-designed charging coefficient, the impact coefficient value corresponding to the vehicle type and / or the impact coefficient value corresponding to the proportion of vacant parking spaces is increased, so that the dynamic unit price of the target vehicle during the parking period increases.

5. The multi-factor dynamic parking fee charging method according to claim 4, characterized in that: The vehicle types include new energy vehicles and non-new energy vehicles, and the impact coefficient value corresponding to the new energy vehicle is smaller than the impact coefficient value corresponding to the non-new energy vehicle.

6. The multi-factor dynamic parking fee charging method according to claim 1, characterized in that: The stay period includes the parking period, and the plurality of influencing factors include vehicle type; The multi-factor dynamic parking charging method also includes: In response to the number of free parking spaces being less than a preset number, the influence coefficient value corresponding to the vehicle type is increased.

7. The multi-factor dynamic parking fee charging method according to claim 1, characterized in that: The stay period includes the parking period, and the multi-factor dynamic parking charging method further includes: In response to the charging coefficient of the target vehicle during the parking period being less than or equal to the pre-designed charging coefficient, first indication information is generated; the first indication information is used to instruct the smart device at the entrance of the parking lot to update the vehicle parking indication information.

8. A multi-factor dynamic parking fee system, characterized in that: include: A dynamic unit price calculation module, used to determine the dynamic unit price corresponding to the target vehicle in each billing period based on the billing unit price corresponding to the parking lot and the billing coefficient corresponding to the target vehicle in each billing period; A parking fee calculation module, used to determine the stay fee of the target vehicle in the parking lot based on the dynamic unit price corresponding to the target vehicle in each billing cycle and the duration of each billing cycle; The billing period is obtained based on the target vehicle's stay period in the parking lot, and the stay period includes a charging period and / or a parking period; The charging coefficient is determined based on the influence coefficient values ​​of multiple influence factors in each charging period, and the influence factors are factors that affect the stay fee of the parking lot.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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