Parking package price calculation method and device, computer device, and storage medium

Abstract

The application discloses a parking package price calculation method and device, computer equipment and a storage medium, and realizes the method, which comprises the following steps: obtaining parking records of a target parking lot, wherein the parking records comprise date types and parking data; calculating the prices of each time period based on the date types and the parking data; calculating a parking package reference fee based on the parking fees of each time period and a multi-time period coefficient; and calculating a final selling price of the parking package based on the package reference fee and a sales coefficient. In the embodiment of the application, the prices of each parking time period are determined according to parking occupancy, date types, parking fluctuation and the like, the price of each time period is calculated separately, thereby forming a package price, the package price can be dynamically adjusted according to time and parking conditions, thereby improving parking fee income, realizing intelligent management, and improving user experience to a certain extent.

Description

Technical Field

[0001] This invention relates to the field of parking management technology, and in particular to a method, apparatus, computer equipment, and storage medium for calculating parking package prices. Background Technology

[0002] To increase parking revenue, simplify parking fee collection, and improve management efficiency, existing parking lots have launched parking packages, such as monthly and annual passes. Parking users can use the purchased packages to enjoy parking benefits or offset parking fees.

[0003] However, the prices of existing parking packages are fixed, such as monthly passes. The price of each monthly pass is fixed and will not be dynamically adjusted. For example, the cost of parking during peak hours or off-peak hours is the same, which creates a bad experience for users who often park during off-peak hours. Furthermore, as the management of parking packages becomes more refined, the demand for increasing parking fee revenue from platforms and parking lot management companies is becoming increasingly strong. Summary of the Invention

[0004] Therefore, it is necessary to provide a parking package price calculation method, device, computer equipment, and storage medium to address the above-mentioned technical problems and solve at least one of the problems existing in the prior art.

[0005] Obtain the parking records of the target parking lot, including the date type and parking data;

[0006] Calculate the price for each time period based on the date type and the parking data;

[0007] The base price for the parking package is calculated based on the parking fees for each time period and the multi-time period coefficient.

[0008] The final price of the parking package is calculated based on the base price of the package and the sales coefficient.

[0009] In one embodiment, calculating the price for each time period based on the date type and the parking data includes:

[0010] Based on the date type, determine the date type coefficient and the parking period length;

[0011] Based on the parking data, determine the time-period price coefficient;

[0012] Obtain the monthly pass price corresponding to the target parking lot;

[0013] The price for each time period is calculated based on the date type coefficient, the parking time period length, the time period price coefficient, and the monthly pass price.

[0014] In one embodiment, determining the date type coefficient and parking period length based on the date type includes:

[0015] The parking time slots in the parking package are divided based on the date type, and the parking time slot includes the length of the parking time slot;

[0016] Based on the date type, the date type coefficient is determined according to preset rules.

[0017] In one embodiment, determining the time-based price coefficient based on the parking data includes:

[0018] Based on the parking data, determine the parking space occupancy rate or the number of parking spaces in the parking lot for each parking time period;

[0019] Determine whether the parking space occupancy rate or the number of parking spaces in the parking lot is greater than a preset threshold;

[0020] If the parking space occupancy rate or the number of parking spaces in the parking lot is greater than a preset threshold, then the time period price coefficient is determined based on the highest parking space occupancy rate or the highest number of parking spaces in the parking lot during the corresponding parking period.

[0021] If the parking space occupancy rate is less than or equal to the preset threshold, the time period price coefficient is determined based on the average parking space occupancy rate or the number of parking spaces in the parking lot during the corresponding parking period.

[0022] In one embodiment, the number of parking spaces in the parking lot includes the maximum number of parking spaces in the parking lot or the minimum number of parking spaces in the parking lot, and determining whether the parking space occupancy rate is greater than a preset threshold includes:

[0023] Determine whether the highest parking space occupancy rate or the highest number of parking spaces in the parking lot is greater than a first preset threshold; or

[0024] Determine whether the minimum parking space occupancy rate or the minimum number of parking spaces in the parking lot is greater than a second preset threshold.

[0025] In one embodiment, the multi-time period coefficients are obtained in the following manner:

[0026] Determine the time-period price coefficient corresponding to each of the aforementioned parking time periods;

[0027] Calculate the variance of the time-period price coefficients corresponding to all the parking time periods, and determine the multi-time period coefficients based on the variance.

[0028] In one embodiment, the sales coefficient is obtained as follows:

[0029] Determine the remaining sales time for the parking package, and determine the number of days coefficient based on the remaining sales time;

[0030] Determine the quantity and total amount of the parking packages sold, and determine the inventory coefficient based on the quantity and total amount sold;

[0031] The sales coefficient is determined based on the number of days coefficient and the inventory coefficient.

[0032] Secondly, a parking package price calculation device is provided, comprising:

[0033] A parking record acquisition unit is used to acquire parking records of a target parking lot, wherein the parking records include date type and parking data;

[0034] The parking fee calculation unit is used to calculate the price for each time period based on the date type and the parking data;

[0035] The parking package base fee calculation unit is used to calculate the parking package base fee based on the parking fees for each time period and the multi-time period coefficient.

[0036] The parking package final price calculation unit is used to calculate the final price of the parking package based on the package base fee and the sales coefficient.

[0037] Thirdly, a computer device is provided, including a memory and a processor, the memory storing a computer program, characterized in that, when the computer program is executed by the processor, the processor causes the processor to perform the parking package price calculation method as described above.

[0038] Fourthly, a computer-readable storage medium is provided, storing a computer program, characterized in that, when the computer program is executed by a processor, the processor performs the parking package price calculation method as described above.

[0039] The aforementioned parking package price calculation method, device, computer equipment, and storage medium, implemented as follows, include: acquiring parking records of a target parking lot, the parking records including date type and parking data; calculating the price for each time period based on the date type and the parking data; calculating the base price for the parking package based on the parking fees for each time period and a multi-time period coefficient; and calculating the final selling price of the parking package based on the base price and a sales coefficient. In this embodiment, the price for each parking time period is determined by factors such as parking occupancy, date type, and parking fluctuations. The price for each time period is calculated separately to form a package price. This package price can be dynamically adjusted according to different times and parking conditions, transforming from the original extensive and subjective pricing to refined pricing, thereby increasing parking fee revenue, achieving intelligent management, and improving user experience to a certain extent. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart illustrating a parking package price calculation method according to an embodiment of the present invention;

[0042] Figure 2 This is a schematic diagram of a parking package price calculation device according to an embodiment of the present invention;

[0043] Figure 3 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] In one embodiment, such as Figure 1 As shown, a method for calculating parking package prices is provided, including the following steps:

[0046] In step S110, the parking records of the target parking lot are obtained, including the date type and parking data;

[0047] In this embodiment of the application, the parking records of the target parking lot can be obtained through the management system of the target parking lot. The parking records may include data such as the number of parked vehicles, the number of available parking spaces, the type of vehicle parking date, and the parking status.

[0048] The date type can include weekdays, non-weekdays, peak periods, off-peak periods, etc.

[0049] The parking data may include information such as parking space occupancy, parking fluctuations, and the number of vehicles parked.

[0050] In step S120, the price for each time period is calculated based on the date type and parking data;

[0051] The price during this period may include parking fees, charging fees, and resource occupancy fees.

[0052] In this embodiment of the application, the price for each time period can be calculated using the following formula:

[0053] Time-based price = Date type coefficient * Time-based length / 24 * Monthly pass price * Time-based price coefficient;

[0054] Specifically, parking time slots for parking packages can be categorized based on date type, such as weekdays and non-working days. A date type coefficient is then determined based on the date type; for example, the coefficient for weekdays could be 0.7, and for non-working days, it could be 0.3. The monthly pass price for the target parking lot can then be obtained, and the time slot coefficient can be calculated based on parking space occupancy and vehicle fluctuations. These factors are then substituted into the aforementioned calculation formula to arrive at the price for that time slot.

[0055] The monthly pass price can be obtained from the target parking lot management system or through platform analysis. For example, the price of the monthly pass with the highest number of vehicles renewing each month can be used as the monthly pass price.

[0056] In step S130, the base fee for the parking package is calculated based on the price for each time period and the multi-time period coefficient;

[0057] In this embodiment of the application, after obtaining the prices for each time period, the multi-time period coefficient can be determined based on the coefficients for all time periods, and then the base fee for the parking package can be calculated based on the following calculation formula:

[0058] Package base price = (∑ time period price) * multi-time period coefficient;

[0059] The prices for each time period are summed and then multiplied by the multi-time period coefficient to obtain the base price of the package. In this application, the price for each time period within the package is calculated first, and then the base price of the package is determined based on the combination of time periods within the package.

[0060] In step S140, the final price of the parking package is calculated based on the base price of the package and the sales coefficient.

[0061] In this embodiment of the application, after determining the base price of the package, the final selling price of the package is calculated based on the current sales situation of the parking package. The final selling price of the package can be calculated using the following formula:

[0062] Final package price = Package base price * Sales coefficient;

[0063] The sales coefficient is determined by the remaining time, sold quantity, and total inventory of the parking package. This coefficient is then multiplied by the base price of the package to arrive at the final selling price. This allows for adjustments to the package price based on the remaining time and inventory levels, shifting from a haphazard, subjective pricing approach to a more refined pricing strategy.

[0064] This application provides a method for calculating parking package prices. The method includes: acquiring parking records from a target parking lot, whereby the parking records include date type and parking data; calculating prices for each time period based on the date type and parking data; calculating a base fee for the parking package based on the prices for each time period and multi-time period coefficients; and calculating the final selling price of the parking package based on the base fee and a sales coefficient. In this application, the price for each parking time period is determined by factors such as parking occupancy, date type, and parking fluctuations. The price for each time period is calculated separately to form a package price. This package price can be dynamically adjusted according to different times and parking conditions, transforming from the original extensive and subjective pricing to refined pricing. This can increase parking fee revenue, achieve intelligent management, and improve user experience to a certain extent.

[0065] In one embodiment of this application, the price for each time period is calculated based on the date type and parking data, including:

[0066] Based on the date type, determine the date type coefficient and the parking period length;

[0067] Determine the time-based price coefficient based on parking data;

[0068] Get the monthly pass price for the target parking lot;

[0069] The price for each time period is calculated based on the date type coefficient, parking time period length, time period price coefficient, and monthly pass price.

[0070] Specifically, the date type is obtained, such as weekdays, non-working days, etc. Then, the parking time slots for the parking package are divided based on this date type. Different date types correspond to different parking time slots, and a date type coefficient can be determined. For example, the date type coefficient for weekdays can be 0.7, and for non-working days, it can be 0.3. Then, based on the parking time slots divided by the date type, the time slot length can be determined. This time slot length equals the number of hours from the start time to the end time. For example, if the start time is 9:00 AM and the end time is 11:00 AM, the time slot length is 2 hours. The monthly pass price can be provided by the parking lot management or determined through platform analysis. For example, the price of the monthly pass with the highest number of renewals at the target parking lot each month can be used as the monthly pass price. Then, based on parking data, the number of vehicles or parking space occupancy rate in the target parking lot is determined. The price coefficient for each time slot is calculated according to preset calculation rules, and then the price for each time slot is determined based on the following calculation formula.

[0071] Time-based price = Date type coefficient * Time-based length / 24 * Monthly pass price * Time-based price coefficient;

[0072] In one embodiment of this application, determining the date type coefficient and parking period length based on the date type includes:

[0073] The parking time slots in the parking package are divided based on the date type, and the parking time slot includes the length of the parking time slot;

[0074] Based on the date type, the date type coefficient is determined according to preset rules.

[0075] Specifically, the date type is obtained, such as weekday, non-working day, or other date types. Then, the parking time slots for the parking package are divided based on the date type. Different date types correspond to different parking time slots, which can include multiple slots. For example, weekday parking time slots could be from 9:00 AM to 12:00 PM, or from 2:00 PM to 6:00 PM, etc. Based on these divided parking time slots, the length of each time slot can be determined. The length of each time slot is equal to the number of hours from the start time to the end time. For example, if the start time is 9:00 AM and the end time is 11:00 AM, then the length of the time slot is 2 hours.

[0076] Furthermore, a date type coefficient can be determined based on the date type. For example, the date type coefficient for a working day can be 0.7, and the date type coefficient for a non-working day can be 0.3.

[0077] In this embodiment of the application, determining the time-based price coefficient based on parking data includes:

[0078] Based on parking data, determine the parking space occupancy rate or the number of parking spaces in the parking lot for each parking period.

[0079] Determine whether the parking space occupancy rate or the number of parking spaces in the parking lot is greater than a preset threshold;

[0080] If the parking space occupancy rate or the number of parking spaces in the parking lot exceeds the preset threshold, the time period price coefficient will be determined based on the highest parking space occupancy rate or the highest number of parking spaces in the parking lot during the corresponding parking period.

[0081] If the parking space occupancy rate is less than or equal to the preset threshold, the time period price coefficient is determined based on the parking space occupancy rate or the average number of parking spaces in the parking lot during the corresponding parking period.

[0082] The parking data may include the number of vehicles in the parking lot and the occupancy rate of parking spaces.

[0083] Specifically, a mapping relationship can be established between the number of vehicles in the target parking lot or the occupancy rate of the parking space and the time-based price coefficient, for example:

[0084] When the number of vehicles in the venue is 1-99, the corresponding time period coefficient is 0.8; when the number of vehicles in the venue is 100-150, the corresponding time period coefficient is 1.0; when the number of vehicles in the venue is 151 or more, the corresponding time period coefficient is 1.1.

[0085] When the parking space occupancy rate is [0%-30%], the corresponding time period coefficient is 0.8; when the parking space occupancy rate is [30%-60%], the coefficient is 1.0; when the parking space occupancy rate is [60%-100%], the corresponding time period coefficient is 1.1.

[0086] Based on the parking time periods defined by date type, the occupancy rate of the target parking lot within each time period is determined using the parking data. Then, it is determined whether the occupancy rate exceeds a preset threshold. If so, the time period price coefficient is determined based on the highest occupancy rate within the corresponding parking time period; otherwise, the time period price coefficient is determined based on the average occupancy rate within the corresponding parking time period. Specifically, the time period price coefficient corresponding to different numbers of vehicles can be determined according to a pre-configured mapping relationship between the number of vehicles in the target parking lot and the time period price coefficient corresponding to the occupancy rate. Similarly, based on the parking data, the number of vehicles in the parking lot can also be obtained. If the number of vehicles in the parking lot exceeds a preset threshold, the time period price coefficient can be determined based on the highest number of vehicles in the corresponding parking time period; otherwise, the time period price coefficient is determined based on the average number of vehicles in the parking lot within the corresponding parking time period.

[0087] Specifically, when the parking space occupancy rate is greater than the preset threshold, or the number of vehicles in the parking lot is greater than the preset threshold, it can be considered that the parking fluctuation is large at this time. Therefore, the corresponding time period coefficient can be determined by the highest parking space occupancy rate or the highest number of vehicles in the parking lot during this period. When the parking space occupancy rate is less than or equal to the preset threshold, or the number of vehicles in the parking lot is less than or equal to the preset threshold, it can be considered that the parking fluctuation is small at this time. Therefore, the corresponding time period price coefficient can be determined by the average parking space occupancy rate during this period.

[0088] Furthermore, the parking space occupancy rate includes the highest parking space occupancy rate and the lowest parking space occupancy rate, and the number of parking spaces in the parking lot includes the highest number of parking spaces in the parking lot or the lowest number of parking spaces in the parking lot. Determining whether the parking space occupancy rate exceeds a preset threshold includes:

[0089] Determine whether the maximum parking space occupancy rate or the maximum number of parking spaces in the parking lot exceeds a first preset threshold; or

[0090] Determine whether the minimum parking space occupancy rate or the minimum number of parking spaces in the parking lot is greater than the second preset threshold.

[0091] Specifically, the parking space occupancy rate may include the highest parking space occupancy rate and the lowest parking space occupancy rate. For example, when the highest parking space occupancy rate is greater than a first preset threshold, such as 60%, the time-period price coefficient can be determined based on the highest parking space occupancy rate within the corresponding parking period; otherwise, the time-period price coefficient is determined based on the average of the lowest parking space occupancy rates within the corresponding parking period. Alternatively, when the lowest parking space occupancy rate is greater than the first preset threshold, such as 30%, the time-period price coefficient can be determined based on the highest parking space occupancy rate within the corresponding parking period; otherwise, the time-period price coefficient is determined based on the average of the parking space occupancy rates within the corresponding parking period.

[0092] Similarly, the minimum or maximum number of vehicles in the target parking lot during each time period can be obtained. For example, if the maximum number of vehicles in the parking lot is greater than a first preset threshold, such as more than 100 vehicles, the time period price coefficient can be determined based on the maximum number of vehicles in the parking lot during the corresponding parking period; otherwise, the time period price coefficient can be determined based on the average number of vehicles in the parking lot during the corresponding parking period. Alternatively, if the minimum number of vehicles in the parking lot is greater than a second preset threshold, such as more than 50 vehicles, the time period price coefficient can be determined based on the maximum number of vehicles in the parking lot during the corresponding parking period; otherwise, the time period price coefficient can be determined based on the average number of vehicles in the parking lot during the corresponding parking period.

[0093] In one embodiment of this application, the multi-time period coefficient is obtained in the following manner:

[0094] Determine the time-based price coefficient for each parking period;

[0095] Calculate the variance of the time-period price coefficient for all parking time periods, and determine the multi-time period coefficient based on the variance.

[0096] Specifically, a mapping relationship between the variance of the coefficients for all time periods and the coefficients for multiple time periods can be preset first. For example, variance: [0-0.3], multi-time period coefficient is 0.8; [0.3-0.6], multi-time period coefficient is 1.0; [0.6 and above], multi-time period coefficient is 1.1. Then, the variance of the price coefficients for all time periods can be calculated, and based on this variance, the corresponding multi-time period coefficients can be determined from the above mapping relationship.

[0097] In one embodiment of this application, the sales coefficient is obtained in the following manner:

[0098] Determine the remaining sales time for the parking package, and based on the remaining sales time, determine the number of days coefficient;

[0099] Determine the number and total quantity of parking packages sold, and based on the number and total quantity sold, determine the inventory coefficient;

[0100] The sales coefficient is determined based on the days coefficient and the inventory coefficient.

[0101] Specifically, the remaining sales time of the available time slots for the parking package can be used as a reference. The number of remaining sales time days = package start time - current date. The number of days can be used as a reference to determine the number of days. For example, if the number of days is [0-3], the corresponding number of days is 1; if the number of days is [4-10], the corresponding number of days is 0.9; and if the number of days is [11 and above], the corresponding number of days is 1.2.

[0102] The inventory coefficient can be determined based on the sold quantity divided by the total inventory. For example, the sold quantity and total inventory can be obtained from the parking lot management. For instance, a sold quantity / total inventory ratio of [0-0.3] corresponds to an inventory coefficient of 0.8; a sold quantity / total inventory ratio of (0.3-0.6) corresponds to an inventory coefficient of 1.0; and a sold quantity / total inventory ratio of [0.6 and above] corresponds to an inventory coefficient of 1.2. From the above, the corresponding days coefficient and inventory coefficient can be obtained. Then, based on the following calculation formula, the sales coefficient can be determined:

[0103] Sales coefficient = Days coefficient * Inventory coefficient;

[0104] The sales coefficient is obtained by multiplying the number of days coefficient and the inventory coefficient. The final price of the package is then calculated based on this sales coefficient. The price for each time period can be determined according to parking occupancy, date type, and parking fluctuations, thus forming the package price. This represents a shift from the previous extensive and subjective pricing model to refined pricing.

[0105] In this embodiment, the price for each parking time period is determined by factors such as parking occupancy, date type, and parking fluctuation. The price for each time period is calculated separately to form a package price. This package price can be dynamically adjusted according to different times and parking conditions, transforming the original extensive and subjective pricing into refined pricing. This can increase parking fee revenue, achieve intelligent management, and improve the user experience to a certain extent.

[0106] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0107] In one embodiment, a parking package price calculation device is provided, which corresponds one-to-one with the parking package price calculation method described in the above embodiments. For example... Figure 2 As shown, the parking package price calculation device includes a parking record acquisition unit 10, a parking fee calculation unit 20, a parking package base fee calculation unit 30, and a parking package final price calculation unit 40. Detailed descriptions of each functional module are as follows:

[0108] The parking record acquisition unit 10 is used to acquire the parking records of the target parking lot. The parking records include date type and parking data.

[0109] The parking fee calculation unit 20 is used to calculate the price for each time period based on the date type and parking data;

[0110] The parking package base fee calculation unit 30 is used to calculate the parking package base fee based on the price of each time period and the multi-time period coefficient;

[0111] The final price calculation unit 40 for parking packages is used to calculate the final price of the parking package based on the base price of the package and the sales coefficient.

[0112] In one embodiment of this application, the parking fee calculation unit 20 is further configured to:

[0113] Based on the date type, determine the date type coefficient and the parking period length;

[0114] Determine the time-based price coefficient based on parking data;

[0115] Get the monthly pass price for the target parking lot;

[0116] The price for each time period is calculated based on the date type coefficient, parking time period length, time period price coefficient, and monthly pass price.

[0117] In one embodiment of this application, the parking fee calculation unit 20 is further configured to:

[0118] The parking time slots in the parking package are divided based on the date type, and the parking time slot includes the length of the parking time slot;

[0119] Based on the date type, the date type coefficient is determined according to preset rules.

[0120] In one embodiment of this application, the parking fee calculation unit 20 is further configured to:

[0121] Based on parking data, determine the parking space occupancy rate or the number of parking spaces in the parking lot for each parking period.

[0122] Determine whether the parking space occupancy rate or the number of parking spaces in the parking lot exceeds a preset threshold;

[0123] If the parking space occupancy rate or the number of parking spaces in the parking lot exceeds the preset threshold, the time period price coefficient will be determined based on the highest parking space occupancy rate or the highest number of parking spaces in the parking lot during the corresponding parking period.

[0124] If the parking space occupancy rate is less than or equal to the preset threshold, the time period price coefficient is determined based on the parking space occupancy rate or the average number of parking spaces in the parking lot during the corresponding parking period.

[0125] In one embodiment of this application, the parking space occupancy rate includes the highest parking space occupancy rate and the lowest parking space occupancy rate, and the number of parking spaces in the parking lot includes the highest number of parking spaces in the parking lot or the lowest number of parking spaces in the parking lot. The parking fee calculation unit 20 is further used for:

[0126] Determine whether the maximum parking space occupancy rate or the maximum number of parking spaces in the parking lot exceeds a first preset threshold; or

[0127] Determine whether the minimum parking space occupancy rate or the minimum number of parking spaces in the parking lot is greater than the second preset threshold.

[0128] In one embodiment of this application, the multi-time period coefficients are obtained in the following manner:

[0129] Determine the time-based price coefficient for each parking period;

[0130] Calculate the variance of the time-period price coefficient for all parking time periods, and determine the multi-time period coefficient based on the variance.

[0131] In one embodiment of this application, the sales coefficient is obtained in the following manner:

[0132] Determine the remaining sales time for the parking package, and based on the remaining sales time, determine the number of days coefficient;

[0133] Determine the number and total quantity of parking packages sold, and based on the number and total quantity sold, determine the inventory coefficient;

[0134] The sales coefficient is determined based on the days coefficient and the inventory coefficient.

[0135] In this embodiment, the price for each parking time period is determined by factors such as parking occupancy, date type, and parking fluctuation. The price for each time period is calculated separately to form a package price. This package price can be dynamically adjusted according to different times and parking conditions, transforming the original extensive and subjective pricing into refined pricing. This can increase parking fee revenue, achieve intelligent management, and improve the user experience to a certain extent.

[0136] Specific limitations regarding the parking package price calculation device can be found in the limitations on the parking package price calculation method described above, and will not be repeated here. Each module in the aforementioned parking package price calculation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0137] In one embodiment, a computer device is provided, which may be a terminal device, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium storing computer-readable instructions. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer-readable instructions implement a parking package price calculation method. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0138] In this application embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, it implements the steps of the parking package price calculation method described above.

[0139] In one embodiment of the application, a readable storage medium is provided, which stores computer-readable instructions that, when executed by a processor, implement the steps of the parking package price calculation method described above.

[0140] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0141] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0142] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for calculating parking package prices, characterized in that, The method includes: Obtain the parking records of the target parking lot, including date type and parking data; The parking time slots in the parking package are divided based on the date type, and the length of each parking time slot is determined; a date type coefficient is determined according to preset rules; a time slot price coefficient is determined based on the parking data; and the price of each time slot is calculated based on the date type coefficient, parking time slot length, time slot price coefficient, and the monthly pass price corresponding to the target parking lot. Based on the prices for each time period and the multi-time period coefficients, calculate the base cost of the parking package; The final price of the parking package is calculated based on the base price of the package and the sales coefficient.

2. The parking package price calculation method as described in claim 1, characterized in that, The process of determining the time-period price coefficient based on the parking data includes: Based on the parking data, determine the parking space occupancy rate or the number of parking spaces in the parking lot for each parking time period; Determine whether the parking space occupancy rate or the number of parking spaces in the parking lot is greater than a preset threshold; If the parking space occupancy rate or the number of parking spaces in the parking lot is greater than a preset threshold, then the time period price coefficient is determined based on the highest parking space occupancy rate or the highest number of parking spaces in the parking lot during the corresponding parking period. If the parking space occupancy rate is less than or equal to the preset threshold, the time period price coefficient is determined based on the average parking space occupancy rate or the number of parking spaces in the parking lot during the corresponding parking period.

3. The parking package price calculation method as described in claim 2, characterized in that, The parking space occupancy rate includes the highest parking space occupancy rate and the lowest parking space occupancy rate. The number of parking spaces in the parking lot includes the highest number of parking spaces in the parking lot or the lowest number of parking spaces in the parking lot. Determining whether the parking space occupancy rate is greater than a preset threshold includes: Determine whether the highest parking space occupancy rate or the highest number of parking spaces in the parking lot is greater than a first preset threshold; or Determine whether the minimum parking space occupancy rate or the minimum number of parking spaces in the parking lot is greater than a second preset threshold.

4. The parking package price calculation method as described in claim 1, characterized in that, The multi-time coefficients are obtained in the following way: Determine the time-period price coefficient corresponding to each of the aforementioned parking time periods; Calculate the variance of the time-period price coefficients corresponding to all the parking time periods, and determine the multi-time period coefficients based on the variance.

5. The parking package price calculation method as described in claim 1, characterized in that, The sales coefficient is obtained in the following way: Determine the remaining sales time for the parking package, and determine the number of days coefficient based on the remaining sales time; Determine the quantity and total amount of the parking packages sold, and determine the inventory coefficient based on the quantity and total amount sold; The sales coefficient is determined based on the number of days coefficient and the inventory coefficient.

6. A parking package price calculation device, characterized in that, The device includes: A parking record acquisition unit is used to acquire parking records of a target parking lot, wherein the parking records include date type and parking data; The parking fee calculation unit is used to divide the parking time periods in the parking package based on the date type and determine the length of the parking time period; determine the date type coefficient according to preset rules; determine the time period price coefficient based on the parking data; and calculate the price of each time period based on the date type coefficient, the parking time period length, the time period price coefficient, and the monthly card price corresponding to the target parking lot. The parking package base fee calculation unit is used to calculate the parking package base fee based on the parking fees for each time period and the multi-time period coefficient. The parking package final price calculation unit is used to calculate the final price of the parking package based on the package base fee and the sales coefficient.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is executed by the processor, the processor performs the parking package price calculation method as described in any one of claims 1-5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the processor performs the parking package price calculation method as described in any one of claims 1-5.

Images