Parking lot income calculation method, device and equipment and computer readable storage medium

Abstract

The invention discloses a parking lot income calculation method, device and equipment and a computer readable storage medium, and relates to the technical field of parking operation. The method comprises the steps that at least one kind of preset parking plan information of a target parking lot is acquired, the parking plan information at least comprises a plan type, plan data, identical to the plan type, of other parking lots are acquired from a database, and demand data of the plan type is obtained; according to the demand data and the number of package types which can be provided by the target parking lot, determining convertible customer data corresponding to the package types; and obtaining convertible customer data corresponding to the plurality of package types of the target parking lot to calculate package income data of the target parking lot. Therefore, the historical parking lot demands of other parking lots are utilized to analyze the target parking lot package demand data, and the convertible customer data of different package types are obtained, so that the expected income condition after the target parking lot opens the cooperation of the parking package is calculated, and the calculation accuracy is improved.

Description

Technical Field

[0001] This invention relates to the field of parking operation technology, and in particular to a method, apparatus, equipment and computer-readable storage medium for calculating parking lot revenue. Background Technology

[0002] In order to attract parking users with different needs, improve parking space utilization, and increase parking lot revenue, more and more parking lots are launching various parking packages to attract users.

[0003] Currently, parking lots can only configure the types of packages and the number of packages for each type based on their management experience. This configuration method often leads to unreasonable package types and numbers during actual sales, resulting in some packages being oversupplied while others are undersupplied. Therefore, providing a method that allows parking lots to calculate package revenue in advance to help them adjust package configurations is very meaningful for improving parking lot revenue. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to overcome the shortcomings of the prior art and provide a parking lot revenue calculation method, apparatus, device and computer-readable storage medium for calculating the current parking lot package revenue by analyzing the historical parking lot demand data of parking lots that meet the requirements in the parking lot database.

[0005] This invention provides the following technical solution: In a first aspect, the present invention proposes a method for calculating parking lot revenue, comprising: Obtain information on at least one preset parking package at the target parking lot, wherein the parking package information includes at least a package type; retrieve package data of other parking lots with the same package type from the database; and derive demand data for the package type. Based on the demand data and the number of package types available at the target parking lot, determine the convertible customer data corresponding to each package type; Obtain convertible customer data corresponding to multiple package types of the target parking lot, and calculate the package revenue data of the target parking lot.

[0006] In one embodiment, retrieving package data from the database that are the same type as the package from other parking lots includes: Based on the address information of the target parking lot, other corresponding parking lots within a preset surrounding area are obtained, and historical parking orders are retrieved from the other parking lots. Based on the historical parking orders, obtain the package data of the same package type.

[0007] In one embodiment, obtaining the demand data for the package type includes: Based on the package data, obtain the number of parking demanders for other parking lots during multiple preset time periods; Based on the number of parking demanders and the number of corresponding package types provided during each preset time period, the demand data for the package types for multiple preset time periods of the other parking lots are determined.

[0008] In one embodiment, determining the convertible customer data corresponding to the package type based on the demand data and the number of package types available at the target parking lot includes: Calculate the conversion rate of the package type for each of the other parking lots, and obtain the overall conversion rate of the package type; Based on the demand data for the package type and the overall conversion rate, determine the convertible customer data corresponding to the package type.

[0009] In one embodiment, calculating the conversion rate of the package type corresponding to the other parking lots includes: Based on at least one parameter, such as the package type, parking lot business type, distance conversion coefficient, and city characteristics, calculate the corresponding conversion rate for each of the other parking lots for the package type.

[0010] In one embodiment, obtaining convertible customer data corresponding to multiple package types of the target parking lot, in order to calculate the package revenue data of the target parking lot, includes: Based on the convertible customer data of each package type preset by the target parking lot, the revenue of each package type is calculated separately; The revenue from each of the aforementioned package types is summed to obtain the package revenue data for the target parking lot.

[0011] In one embodiment, the method further includes: Based on the total number of available parking spaces in the target parking lot, the number of available spaces for each package type is adjusted, and at least one package combination is derived based on the adjusted number of available spaces for each package type and the convertible customer data for each package type. Calculate the revenue data for each package combination separately, and then recommend the package combination with the highest revenue.

[0012] Secondly, the present invention provides a parking lot revenue calculation device, comprising: The acquisition module is used to acquire at least one preset parking package information of the target parking lot. The parking package information includes at least a package type. It also acquires package data of other parking lots with the same package type from the database to obtain demand data for the package type. The determination module is used to determine the convertible customer data corresponding to the package type based on the demand data and the number of package types available at the target parking lot; The calculation module is used to obtain convertible customer data corresponding to multiple package types of the target parking lot, so as to calculate the package revenue data of the target parking lot.

[0013] Thirdly, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the parking lot revenue calculation method as described in the first aspect.

[0014] Fourthly, a computer-readable storage medium storing a computer program that, when executed by a processor, implements the parking lot revenue calculation method as described in the first aspect.

[0015] This invention discloses a parking lot revenue calculation method, apparatus, equipment, and computer-readable storage medium. The method involves acquiring at least one pre-set parking package information for a target parking lot, where the parking package information includes at least a package type. It then retrieves package data of the same type from other parking lots in a database to derive demand data for that package type. Based on the demand data and the number of package types available at the target parking lot, it determines the convertible customer data corresponding to each package type. Finally, it acquires convertible customer data corresponding to multiple package types at the target parking lot to calculate the package revenue data for that parking lot. By analyzing the historical demand data of other parking lots to understand the target parking lot's package demand data, convertible customer data for different package types is obtained, thereby predicting the expected revenue of the target parking lot after implementing the parking package, improving the accuracy of the prediction. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope of protection of the present invention. In the various drawings, similar components are numbered similarly.

[0017] Figure 1 This embodiment shows a schematic diagram of the first process of the parking lot revenue calculation method. Figure 2 This embodiment shows a second flowchart illustrating the parking lot revenue calculation method proposed in this example; Figure 3 A schematic diagram of the division of the cooperative parking area proposed in this embodiment is shown; Figure 4 The diagram illustrates the third step of the parking lot revenue calculation method proposed in this embodiment; Figure 5 The fourth flowchart of the parking lot revenue calculation method proposed in this embodiment is shown; Figure 6 The fifth flowchart of the parking lot revenue calculation method proposed in this embodiment is shown; Figure 7 The sixth flowchart of the parking lot revenue calculation method proposed in this embodiment is shown; Figure 8 A schematic diagram of the parking lot revenue calculation device proposed in this embodiment is shown.

[0018] Explanation of reference numerals in the attached diagram: 800 - Parking lot revenue calculation device; 801 - Acquisition module; 802 - Determination module; 803 - Calculation module. Detailed Implementation

[0019] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0020] The components of the embodiments of the invention described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0021] In the following, the terms “comprising,” “having,” and their cognates, which may be used in various embodiments of the invention, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as excluding, firstly, the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations thereof.

[0022] Furthermore, the terms "first," "second," and "third" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0023] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the invention pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be interpreted as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of the invention.

[0024] Example 1 This disclosure provides a method for calculating parking lot revenue, which is used to estimate the package revenue of a target parking lot by analyzing parking lot demand data collected in a database.

[0025] Please see Figure 1 The method for calculating the parking lot revenue includes steps S101 to S103, and each step is explained in detail below.

[0026] Step S101: Obtain at least one parking package information preset by the target parking lot. The parking package information includes at least a package type. Obtain package data of other parking lots with the same package type from the database to obtain the demand data of the package type.

[0027] In this embodiment, information on at least one preset parking package from the target parking lot is obtained. This parking package information includes, but is not limited to, package type. Package data for other parking lots with the same type as the target package is retrieved from a database to obtain demand data for that package type. This demand data can be used as reference data for the target parking lot's demand under that parking package. These other parking lots can be those that have partnered with the parking package. Partnered parking lots have the advantage of more complete, accurate, and timely data sources compared to non-partnered parking lots. Analyzing the data from partnered parking lots will more accurately determine the demand data for the package. Thus, by analyzing the demand data from partnered parking lots, package combinations can be recommended to non-partnered parking lots, attracting them to become partnered parking lots. It is understood that, as long as reliable data is available, data from non-partnered parking lots can also be used to determine the demand data for packages. Package types include, but are not limited to, daytime monthly passes, all-day monthly passes, nighttime monthly passes, parking duration packages, and parking frequency packages.

[0028] Step S102: Determine the convertible customer data corresponding to the package type based on the demand data and the number of package types available at the target parking lot.

[0029] In this embodiment, the convertible customer data corresponding to each package type is determined by combining demand data and the number of package types available at the target parking lot. Convertible customer data reflects customers from other parking lots who might be attracted to the target parking lot's parking packages.

[0030] Step S103: Determine the corresponding convertible customer data for each of the multiple package types of the target parking lot, and calculate the package revenue data of the target parking lot.

[0031] In this embodiment, the convertible customer data corresponding to each different package type of the target parking lot is determined, and the package revenue data of the target parking lot is calculated by combining the convertible customer data corresponding to multiple package types, thereby realizing the calculation of the target parking lot's parking package revenue by analyzing historical parking lot data.

[0032] Please see Figure 2 In one specific embodiment, step S101 includes steps S201 to S202, and each step is described in detail below.

[0033] Step S1011: Based on the address information of the target parking lot, obtain other corresponding parking lots within a preset surrounding area, and retrieve historical parking orders from the other parking lots.

[0034] In this embodiment, other parking lots within a preset surrounding area are obtained based on the address information of the target parking lot, and historical parking orders in other parking lots are obtained as the basis for demand analysis data.

[0035] It should be noted that the preset surrounding area can be a geographical area. For example, please refer to [link to relevant documentation]. Figure 3 If the target parking lot is a non-cooperative parking lot, within a pre-defined range around the non-cooperative parking lot P, identify other cooperative parking lots that require the pre-defined parking package.

[0036] Step S1012: Obtain package data of the same package type based on the historical parking orders.

[0037] In this embodiment, package data with the same package type is obtained from historical parking orders. For example, if the package type is a daytime monthly pass, package data related to the daytime monthly pass is obtained from historical parking orders.

[0038] Please see Figure 4 In one specific embodiment, step S101 includes steps S401 to S402, and each step is described in detail below.

[0039] Step S401: Obtain the number of parking demanders for other parking lots during multiple preset time periods based on the package data.

[0040] In this embodiment, the number of parking demanders at other parking lots during multiple preset time periods is obtained based on package data. Please refer to [link to relevant documentation]. Figure 4If the preset time period is daytime, the daytime demand for parking lot P001 is 56 and the daytime demand for parking lot P003 is 88.

[0041] Step S402: Based on the number of people requiring parking during each preset time period and the number of packages offered for each preset time period, determine the demand data for the package type for multiple preset time periods of the other parking lots.

[0042] In this embodiment, for each preset time period, the number of people requiring parking during the corresponding parking period and the number of packages offered are combined to obtain the demand data for the package type from other parking lots during that preset time period.

[0043] For example, if the number of people needing parking is greater than or equal to the number of packages available for the corresponding package type, then the demand data for that package type during the preset time period is the number of packages available; if the number of people needing parking is less than the number of packages available for the corresponding package type, then the demand data for that package type during the preset time period is the number of people needing parking.

[0044] Please see Figure 5 In one specific embodiment, step S102 includes steps S1021 to S1022, and each step is described in detail below.

[0045] Step S1021: Calculate the conversion rate of the package type corresponding to the other parking lots respectively, and obtain the overall conversion rate of the package type.

[0046] In this embodiment, the conversion rate of the package types corresponding to other parking lots is calculated separately, the parking lot demand that the parking lot can cover within a specified range is analyzed, and the conversion rates of each other parking lot are weighted and summed to obtain the comprehensive conversion rate of the package types. The comprehensive conversion rate is related to factors such as the type of parking lot, distance, and city.

[0047] Step S1022: Determine the convertible customer data corresponding to the package type based on the demand data of the package type and the overall conversion rate.

[0048] In this embodiment, the demand data for each package type and the overall conversion rate are multiplied to determine the convertible customer data corresponding to each package type.

[0049] In one specific embodiment, step S1021 includes: calculating the conversion rate of the corresponding package type for each of the other parking lots based on at least one parameter, such as the package type, parking lot business type, distance conversion coefficient, and city characteristics.

[0050] In this embodiment, the conversion rate of each other parking lot's corresponding package type is calculated based on at least one parameter: package type, parking lot business type, distance conversion coefficient, and city characteristics. This improves the accuracy of the parking lot demand conversion rate through a configurable method. Specifically, the higher the cost-effectiveness of the package type, the higher the conversion rate; the better the parking lot business type, the higher the conversion rate; the higher the distance conversion coefficient, the higher the conversion rate; and the better the city characteristics, the higher the conversion rate.

[0051] Please see Figure 6 In one specific embodiment, step S103 includes steps S1031 to S1033, and each step is described in detail below.

[0052] Step S1031: Calculate the revenue for each package type based on the convertible customer data of each package type preset by the target parking lot.

[0053] In this embodiment, the convertible customer data for each package type preset by the target parking lot are multiplied by the corresponding package unit price to calculate the revenue for each package type.

[0054] Step S1032: Sum the revenue of each package type to obtain the package revenue data of the target parking lot.

[0055] In this embodiment, the revenue from each package type is summed, and the sum of the revenue is used as the package revenue data for the target parking lot.

[0056] Please see Figure 7 In one specific embodiment, the method further includes steps S701 to S702, which are described in detail below.

[0057] Step S701: Adjust the available number of each package type according to the total number of available parking spaces in the target parking lot, and derive at least one package combination based on the adjusted available number of each package type and the convertible customer data of each package type.

[0058] In this embodiment, the available number of each package type is adjusted according to the total number of available parking spaces in the target parking lot to ensure that the available number of each package type can be met under the actual parking space supply capacity. Thus, at least one package combination is derived based on the adjusted available number of each package type and the convertible customer data of each package type.

[0059] As an example, it is determined whether the number of available parking spaces for a particular package type is less than or equal to the parking space supply data, in order to analyze whether the actual number of parking spaces available can meet the number of available parking spaces for a particular package type.

[0060] If the number of available spaces for a package type is less than or equal to the parking space supply data, then the parking space supply data can satisfy the number of available spaces for the package type, and the number of available spaces for the current package type can be directly taken as the maximum number of available spaces for the package type.

[0061] If the number of available spaces for a package type is greater than the parking space supply data, then the parking space supply data cannot meet the number of available spaces for the package type. Therefore, the parking space supply data is taken as the maximum number of available spaces for the package type.

[0062] Furthermore, by combining the number of available packages for each adjusted package type with the convertible customer data for each package type, at least one package combination is obtained. The customer data for each package type differs within each package combination.

[0063] Step S702: Calculate the revenue data for each package combination and recommend the package combination with the highest revenue.

[0064] In this embodiment, the revenue data of each package combination is calculated separately, the package combination with the highest revenue is obtained, and the package combination is recommended to the parking lot operator, so that the parking lot operator can operate the parking lot according to the package combination to increase the parking lot revenue.

[0065] The parking lot revenue calculation method proposed in this embodiment obtains information on at least one preset parking package for the target parking lot. This parking package information includes at least one package type. It retrieves package data for other parking lots with the same package type from a database to derive demand data for that package type. Based on the demand data and the number of package types available from the target parking lot, it determines the convertible customer data corresponding to each package type. It then obtains convertible customer data corresponding to multiple package types from the target parking lot to calculate the package revenue data for that parking lot. In this way, by analyzing the target parking lot's package demand data using historical parking lot demand data from other parking lots, convertible customer data for different package types is obtained, thereby predicting the expected revenue of the target parking lot after implementing the parking package, improving the accuracy of the prediction.

[0066] Example 2 Furthermore, this disclosure provides a parking lot revenue calculation device 800, please refer to [link to relevant documentation]. Figure 8 ,include: The acquisition module 801 is used to acquire at least one parking package information preset by the target parking lot. The parking package information includes at least a package type. It also acquires package data of other parking lots with the same package type from the database and obtains demand data of the package type. The determination module 802 is used to determine the convertible customer data corresponding to the package type based on the demand data and the number of package types that the target parking lot can provide; The calculation module 803 is used to obtain convertible customer data corresponding to multiple package types of the target parking lot, so as to calculate the package revenue data of the target parking lot.

[0067] Optionally, the acquisition module 801 is further configured to acquire other parking lots within a preset range around the target parking lot based on the address information of the target parking lot, acquire historical parking orders from the other parking lots, and acquire package data of the same package type based on the historical parking orders.

[0068] In one embodiment, the acquisition module 801 is further configured to acquire the number of parking demanders for the other parking lots during multiple preset time periods based on the package data; and determine the demand data for the package type for the other parking lots during multiple preset time periods based on the number of parking demanders for each preset time period and the number of packages offered for each package type.

[0069] In one embodiment, the determining module 802 is further configured to calculate the conversion rate of the package type corresponding to the other parking lots respectively, and obtain the comprehensive conversion rate of the package type; and determine the convertible customer data corresponding to the package type based on the demand data of the package type and the comprehensive conversion rate.

[0070] In one embodiment, the determining module 802 is further configured to calculate the conversion rate of the corresponding package type for each of the other parking lots based on at least one parameter, namely, package type, parking lot business type, distance conversion coefficient, and city characteristics.

[0071] In one embodiment, the calculation module 803 is further configured to calculate the revenue of each package type based on the convertible customer data of each package type preset by the target parking lot; and sum the revenue of each package type to obtain the package revenue data of the target parking lot.

[0072] In one embodiment, a processing module is also included, which is further configured to adjust the number of available spaces for each package type based on the total number of available parking spaces in the target parking lot, and to derive at least one package combination based on the adjusted number of available spaces for each package type and the convertible customer data for each package type; calculate the package revenue data for each package combination, and recommend the package combination with the highest revenue.

[0073] The apparatus provided in this embodiment can execute the steps of the parking lot revenue calculation method provided in Embodiment 1. To avoid repetition, it will not be described again.

[0074] The parking lot revenue calculation device proposed in this embodiment acquires at least one preset parking package information of the target parking lot. The parking package information includes at least a package type. It retrieves package data of the same type from other parking lots in the database to obtain demand data for the package type. Based on the demand data and the number of package types that the target parking lot can provide, it determines the convertible customer data corresponding to the package type. It acquires convertible customer data corresponding to multiple package types of the target parking lot to calculate the package revenue data of the target parking lot. In this way, by using the historical parking lot demand analysis of other parking lots to analyze the package demand data of the target parking lot, it obtains convertible customer data for different package types, thereby predicting the expected revenue of the target parking lot after cooperating with the parking package, improving the accuracy of the prediction.

[0075] Example 3 Furthermore, this disclosure provides a computer device including a memory and a processor. The memory stores a computer program, which, when executed by the processor, implements the parking lot revenue calculation method described in Embodiment 1.

[0076] The device provided in this embodiment can execute the steps of the parking lot revenue calculation method provided in Embodiment 1. To avoid repetition, it will not be described again.

[0077] Example 4 This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the parking lot revenue calculation method described in Embodiment 1.

[0078] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0079] The computer-readable storage medium provided in this embodiment can implement the parking lot revenue calculation method provided in Embodiment 1. To avoid repetition, it will not be described again here.

[0080] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0081] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0082] The above-described embodiments are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A parking lot revenue calculation method characterized by comprising: The method comprises the following steps: acquiring at least one parking package information preset by a target parking lot, wherein the parking package information at least comprises a package type, acquiring package data of other parking lots with the same package type from a database, and deriving demand data of the package type; determining convertible customer data corresponding to the package type according to the demand data and a number of the package type that can be provided by the target parking lot; acquiring convertible customer data corresponding to a plurality of package types of the target parking lot respectively, so as to calculate package income data of the target parking lot.

2. The parking-revenue calculating method according to claim 1, wherein The step of acquiring package data of other parking lots with the same package type from a database comprises the following steps: acquiring corresponding other parking lots within a preset range according to address information of the target parking lot, and acquiring historical parking orders from the other parking lots; acquiring package data of the same package type according to the historical parking orders.

3. The parking-revenue calculating method according to claim 2, wherein The step of deriving demand data of the package type comprises the following steps: acquiring a number of people who park at each preset time period according to the package data of the other parking lots; determining demand data of the package type of the other parking lots at a plurality of preset time periods according to the number of people who park at each parking time period and the number of provided package types corresponding to each preset time period.

4. The parking-revenue calculating method according to claim 3, wherein The step of determining convertible customer data corresponding to the package type according to the demand data and the number of the package type that can be provided by the target parking lot comprises the following steps: calculating a conversion rate of the package type of the other parking lots respectively, and deriving a comprehensive conversion rate of the package type; determining convertible customer data corresponding to the package type according to the demand data of the package type and the comprehensive conversion rate.

5. The parking-revenue calculating method according to claim 4, wherein The step of calculating a conversion rate of the package type of each parking lot in the other parking lots respectively comprises the following steps: calculating a conversion rate of the package type of each parking lot in the other parking lots respectively according to at least one parameter of the package type, a parking lot format, a distance conversion coefficient and city characteristics.

6. The parking revenue calculation method according to any one of claims 1 to 5, characterized in that, The step of acquiring convertible customer data corresponding to a plurality of package types of the target parking lot respectively, so as to calculate package income data of the target parking lot comprises the following steps: calculating an income of each package type respectively according to convertible customer data of each package type preset by the target parking lot; summing up the incomes of each package type, and deriving package income data of the target parking lot.

7. The method of claim 6, wherein, The method further comprises the following steps: adjusting a number of provided package types of each package type according to a total number of parking spaces of the target parking lot, deriving at least one package combination according to the adjusted number of provided package types of each package type and the convertible customer data of each package type; calculating package income data of each package combination respectively, and deriving a package combination with the highest income for recommendation.

8. A parking revenue calculation device, characterized by comprising: The device comprises: an acquisition module, configured to acquire at least one parking package information preset by a target parking lot, wherein the parking package information at least comprises a package type, acquire package data of other parking lots with the same package type from a database, and derive demand data of the package type; a determination module, configured to determine convertible customer data corresponding to the package type according to the demand data and a number of the package type that can be provided by the target parking lot; and a calculation module, configured to acquire convertible customer data corresponding to a plurality of package types of the target parking lot respectively, so as to calculate package income data of the target parking lot. A calculating module is configured to acquire convertible customer data corresponding to a plurality of package types of the target parking lot, so as to calculate package income data of the target parking lot.

9. A computer device, comprising: The parking lot income calculation method comprises a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to implement the parking lot income calculation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is stored in the memory and is executed by the processor to implement the parking lot income calculation method according to any one of claims 1 to 7.

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