Intelligent charging cabinet-based lease management platform and system

Abstract

The invention discloses a lease management platform and system based on an intelligent charging cabinet, and relates to the technical field of lease management analysis, and the lease management platform comprises the intelligent charging cabinet which comprises a plurality of battery storage units; the terminal equipment is used for responding to the leasing signal corresponding to the target user and acquiring the position information and the battery information corresponding to each intelligent charging cabinet; the processing module is used for analyzing the position information and the battery information corresponding to each intelligent charging cabinet, dividing a selection priority for each intelligent charging cabinet according to an analysis result, determining an optimal charging cabinet based on the selection priority of each intelligent charging cabinet, and performing battery leasing according to the optimal charging cabinet; the judgment module is used for comparing the lease fee with the actual payment fee corresponding to the target user and formulating a management strategy according to a comparison result; and the response module is used for executing the management strategy and outputting a payment abnormal signal to terminal equipment corresponding to the target user. The method has the effect of improving the leasing efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of rental management analysis, and in particular to a rental management platform and system based on smart charging cabinets. Background Art

[0002] With the popularity of electric vehicles (such as electric bicycles, electric scooters, etc.), battery management and maintenance has become an important issue. Electric vehicles rely on rechargeable batteries for power, and the demand for charging and replacing these batteries is increasing. The traditional battery rental model usually relies on manual operation. Users need to rent batteries manually and return them after use, which may lead to low battery power and poor health during the rental process, affecting the user experience. In order to improve the efficiency of battery rental management, smart charging cabinets are gradually being used in battery rental scenarios as a new type of equipment. Smart charging cabinets can automatically store, charge and manage batteries, and users can realize self-service rental and return of batteries by scanning codes and other methods.

[0003] In the related technologies, most smart charging cabinet systems only have simple charging and storage functions, and lack refined management of battery rental details. For example, the system cannot monitor the battery usage, rental time, battery health status, etc. in real time, resulting in the inability of managers to handle the battery damage, loss or return in time. There is room for improvement. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a rental management platform and system based on smart charging cabinets.

[0005] In a first aspect, the present application provides a rental management system based on a smart charging cabinet, including: An intelligent charging cabinet, comprising a plurality of battery storage units, each of which is provided with a charging interface for storing batteries; The terminal device is used to respond to the rental signal corresponding to the target user and obtain the location information and battery information corresponding to each smart charging cabinet; A processing module, used to analyze the location information and battery information corresponding to each smart charging cabinet, and classify the selection priority of each smart charging cabinet according to the analysis result, and then determine the optimal charging cabinet based on the selection priority of each smart charging cabinet, and rent batteries according to the optimal charging cabinet; The judgment module is used to obtain the usage information corresponding to the battery rental, confirm the rental fee, and then compare the rental fee with the actual payment fee corresponding to the target user, and formulate a management strategy based on the comparison results; The response module is used to execute the management strategy and output a payment exception signal to the terminal device corresponding to the target user.

[0006] Preferably, the battery information corresponding to each smart charging cabinet includes the number of available batteries, the average battery power and the battery health assessment coefficient corresponding to each smart charging cabinet; The usage information corresponding to the battery rental includes rental duration information and battery usage information.

[0007] Preferably, the location information and battery information corresponding to each smart charging cabinet are analyzed, specifically including: The current location information of the target user is collected in real time through the terminal device corresponding to the target user, and then the latitude and longitude coordinate information corresponding to the target user is confirmed. ; Confirm the location information of each smart charging cabinet and extract the longitude and latitude coordinate information of each smart charging cabinet ,in, Indicates the number corresponding to each smart charging cabinet; By formula , confirm the location evaluation coefficients of the target users and each smart charging cabinet ,in, is the radius of the Earth, It is indicated as the preset reference maximum distance; Obtain the battery information corresponding to each smart charging cabinet, and extract the number of available batteries corresponding to each smart charging cabinet from the battery information , Average battery charge and battery health assessment factor ; By formula , confirm the battery status evaluation coefficient corresponding to each smart charging cabinet ,in, Respectively represented as preset weight coefficients; The location evaluation coefficients of the target users and each smart charging cabinet Battery status evaluation coefficient corresponding to each smart charging cabinet Substitute into the formula , calculate the comprehensive evaluation coefficient corresponding to each smart charging cabinet ,in, They are respectively represented as preset weight coefficients.

[0008] Preferably, the selection priorities of the smart charging cabinets are divided according to the analysis results, and then the optimal charging cabinet is determined based on the selection priorities of the smart charging cabinets, which specifically includes: Confirm the comprehensive evaluation coefficient corresponding to each smart charging cabinet, and arrange the comprehensive evaluation coefficients corresponding to each smart charging cabinet in descending order, and then prioritize the smart charging cabinets according to the results of the descending order; According to the selection priorities corresponding to the smart charging cabinets, the smart charging cabinet with the highest selection priority is determined, and the smart charging cabinet is set as the optimal charging cabinet.

[0009] Preferably, the usage information corresponding to the battery rental is obtained to confirm the rental fee, which specifically includes: Obtain usage information corresponding to the battery rental, and extract the rental duration from the usage information corresponding to the battery rental and battery usage ; Extract the cost rate corresponding to the preset unit rental time from the cloud database Cost rate corresponding to unit battery usage ; By formula , confirm the rental fee corresponding to the battery rental ,in, Expressed as a preset base fee; The rental fee corresponding to the battery rental The actual payment costs corresponding to the target users Calculate the difference and confirm the cost difference ; If the cost difference , then the rental fee is deemed to be compliant; If the cost difference , then it is determined that there is a difference in rental costs and further management is required.

[0010] Preferably, the process of obtaining the battery health assessment coefficient corresponding to each smart charging cabinet specifically includes: Obtain battery health indicator information corresponding to each battery in the smart charging cabinet, wherein the battery health indicator information includes charge and discharge times information, remaining capacity information, internal resistance information, temperature information and charging speed information; The battery health index information corresponding to each battery in the smart charging cabinet is normalized, and then the formula , confirm the battery health assessment coefficient corresponding to each battery in the smart charging cabinet ; in, Indicates the number of each battery in the smart charging cabinet. , They are respectively represented by the numbers in the smart charging cabinet The normalized processing function corresponding to the number of battery charge and discharge times, remaining capacity, internal resistance, temperature, and charging speed, Expressed as a preset weight coefficient; By formula , confirm the battery health assessment coefficient corresponding to the smart charging cabinet ,in, It is expressed as the number of batteries corresponding to the smart charging cabinet. Expressed as The weight coefficient corresponding to each battery.

[0011] Preferably, after obtaining the usage information corresponding to the battery rental and confirming the rental fee, it also includes: Acquire the return operation corresponding to the target user when returning the leased battery, and input the return operation into a preset return operation processing model, thereby determining the target user's corresponding irregular return behavior, and when the target user has irregular return behavior, mark the target user once; Get the number of marks corresponding to the target user , and the number of marks corresponding to the target user The preset marking threshold interval Make a comparison; If the target user's corresponding number of marks , then there is no need to output a warning signal to the target user; If the target user's corresponding number of marks In When the target user is in between, a warning signal needs to be output to the target user; If the target user's corresponding number of marks , then you need to take action against the target user.

[0012] In a second aspect, the present application provides a rental management platform based on a smart charging cabinet, comprising a processor and a memory for storing a computer program that can be run on the processor, wherein the processor, when running the computer program, executes any one of the above-mentioned rental management systems based on a smart charging cabinet.

[0013] In a third aspect, the present application provides a computer-readable storage medium storing instructions. When the instructions are executed on a computer, the computer executes any one of the above-mentioned rental management systems based on smart charging cabinets.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: 1. The present invention provides a rental management system based on smart charging cabinets, which analyzes the location information and battery information corresponding to each smart charging cabinet, determines the selection priority, and determines the optimal charging cabinet based on the selection priority, and then rents the battery according to the optimal charging cabinet, thereby ensuring that the user can rent the battery with the closest distance and the best battery status, reducing the time and energy of the user in finding the charging cabinet, and obtains the usage information corresponding to the battery rental to determine the rental fee, and then compares the rental fee with the actual payment fee corresponding to the target user, and formulates a management strategy based on the comparison result, thereby effectively enhancing the user's trust in the rental management system, improving the reliability and fairness of the rental management system, and effectively improving the user's rental experience; 2. By analyzing the batteries in the smart charging cabinet, potential battery problems can be discovered in a timely manner, thereby avoiding battery failure during use, and helping managers optimize battery use and maintenance strategies, extending battery life, and reducing operating costs. For users, the battery rental system based on the health assessment coefficient can provide more reliable battery services, thereby reducing the inconvenience caused by battery failure or performance degradation, thereby effectively improving the user's rental experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a system diagram of rental management of smart charging cabinets based on an embodiment of the present application. DETAILED DESCRIPTION

[0017] The following is combined with Figure 1 This application is described in further detail.

[0018] Example An embodiment of the present application discloses a rental management system based on a smart charging cabinet.

[0019] Reference Figure 1 , a rental management system based on smart charging cabinets, including: An intelligent charging cabinet, comprising a plurality of battery storage units, each of which is provided with a charging interface for storing batteries; The terminal device is used to respond to the rental signal corresponding to the target user and obtain the location information and battery information corresponding to each smart charging cabinet; A processing module, used to analyze the location information and battery information corresponding to each smart charging cabinet, and classify the selection priority of each smart charging cabinet according to the analysis result, and then determine the optimal charging cabinet based on the selection priority of each smart charging cabinet, and rent batteries according to the optimal charging cabinet; The judgment module is used to obtain the usage information corresponding to the battery rental, confirm the rental fee, and then compare the rental fee with the actual payment fee corresponding to the target user, and formulate a management strategy based on the comparison results; The response module is used to execute the management strategy and output a payment exception signal to the terminal device corresponding to the target user.

[0020] Furthermore, the battery information corresponding to each smart charging cabinet includes the number of available batteries, the average battery power and the battery health assessment coefficient corresponding to each smart charging cabinet; The usage information corresponding to the battery rental includes rental duration information and battery usage information.

[0021] It should be noted that the location information and battery information corresponding to each smart charging cabinet are analyzed, including: The current location information of the target user is collected in real time through the terminal device corresponding to the target user, and then the latitude and longitude coordinate information corresponding to the target user is confirmed. ; Confirm the location information of each smart charging cabinet and extract the longitude and latitude coordinate information of each smart charging cabinet ,in, Indicates the number corresponding to each smart charging cabinet; By formula , confirm the location evaluation coefficients of the target users and each smart charging cabinet ,in, is the radius of the Earth, It is indicated as the preset reference maximum distance; Obtain the battery information corresponding to each smart charging cabinet, and extract the number of available batteries corresponding to each smart charging cabinet from the battery information , Average battery charge and battery health assessment factor ; By formula , confirm the battery status evaluation coefficient corresponding to each smart charging cabinet ,in, Respectively represented as preset weight coefficients; The location evaluation coefficients of the target users and each smart charging cabinet Battery status evaluation coefficient corresponding to each smart charging cabinet Substitute into the formula , calculate the comprehensive evaluation coefficient corresponding to each smart charging cabinet ,in, They are respectively represented as preset weight coefficients.

[0022] Furthermore, the selection priorities of the smart charging cabinets are divided according to the analysis results, and then the optimal charging cabinet is determined based on the selection priorities of the smart charging cabinets, which specifically includes: Confirm the comprehensive evaluation coefficient corresponding to each smart charging cabinet, and arrange the comprehensive evaluation coefficients corresponding to each smart charging cabinet in descending order, and then prioritize the smart charging cabinets according to the results of the descending order; According to the selection priorities corresponding to the smart charging cabinets, the smart charging cabinet with the highest selection priority is determined, and the smart charging cabinet is set as the optimal charging cabinet.

[0023] Specifically, in an embodiment of the present application, if there are multiple smart charging cabinets with the same comprehensive evaluation coefficient, the optimal charging cabinet is further confirmed according to additional rules preset by the system. The preset additional rules include but are not limited to giving priority to the charging cabinet with the smallest location evaluation coefficient or giving priority to the charging cabinet with a higher battery status evaluation coefficient.

[0024] It should be noted that obtaining the usage information corresponding to the battery rental and confirming the rental fee specifically includes: Obtain usage information corresponding to the battery rental, and extract the rental duration from the usage information corresponding to the battery rental and battery usage ; Extract the cost rate corresponding to the preset unit rental time from the cloud database Cost rate corresponding to unit battery usage ; By formula , confirm the rental fee corresponding to the battery rental ,in, Expressed as a preset base fee; The rental fee corresponding to the battery rental The actual payment costs corresponding to the target users Calculate the difference and confirm the cost difference ; If the cost difference , then the rental fee is deemed to be compliant; If the cost difference , then it is determined that there is a difference in rental costs and further management is required.

[0025] Specifically, in an embodiment of the present application, when it is determined that there is a difference in the rental fee and further management is required, priority is given to checking whether the billing rules are correctly applied, including basic fees, time-based billing rates, electricity-based billing rates, etc., and ensuring that the above rules are consistent with the agreement reached when the user rents. Secondly, the rental duration record and battery usage record are checked. The rental duration record is set to check whether the start time and return time of the lease are accurately recorded. If the record is incorrect, the system should adjust the rental duration; the battery usage record is set to check whether the initial power of the battery and the remaining power at the time of return are accurately recorded. If the record is incorrect, the system should adjust the battery usage and recalculate the fee.

[0026] It should be noted that the process of obtaining the battery health assessment coefficient corresponding to each smart charging cabinet specifically includes: Obtain battery health indicator information corresponding to each battery in the smart charging cabinet, wherein the battery health indicator information includes charge and discharge times information, remaining capacity information, internal resistance information, temperature information and charging speed information; The battery health index information corresponding to each battery in the smart charging cabinet is normalized, and then the formula , confirm the battery health assessment coefficient corresponding to each battery in the smart charging cabinet ; in, Indicates the number of each battery in the smart charging cabinet. , They are respectively represented by the numbers in the smart charging cabinet The normalized processing function corresponding to the number of battery charge and discharge times, remaining capacity, internal resistance, temperature, and charging speed, Expressed as a preset weight coefficient; By formula , confirm the battery health assessment coefficient corresponding to the smart charging cabinet ,in, It is expressed as the number of batteries corresponding to the smart charging cabinet. Expressed as The weight coefficient corresponding to each battery.

[0027] Specifically, the battery health indicator information corresponding to each battery in the smart charging cabinet can be obtained in real time through a preset sensor or monitoring system; Normalized processing function corresponding to the number of charge and discharge times , Expressed as The number of charge and discharge times corresponding to a battery, It indicates the preset maximum number of charge and discharge times. That is, when the charge and discharge times exceed the preset maximum number of charge and discharge times, the corresponding health status of the battery will significantly decline. Normalization function corresponding to the remaining capacity ,in, Expressed as The remaining capacity of the battery. Expressed as the rated capacity of the battery, The closer it is to 1, the greater the remaining capacity of the battery and the better the health of the battery; Normalized processing function corresponding to internal resistance , Expressed as The internal resistance of the battery is It is expressed as the maximum internal resistance of the preset battery under aging condition. It is expressed as the preset minimum internal resistance of the battery in a healthy state. The closer it is to 1, the smaller the internal resistance of the battery is, and the better the health of the battery is; Normalization function corresponding to temperature , Expressed as The actual temperature corresponding to the battery, It is expressed as the optimal operating temperature corresponding to the battery. It is expressed as the standard deviation of temperature, that is, the closer the actual temperature of the battery is to the optimal operating temperature of the battery, the better the health of the battery; Normalized processing function corresponding to charging speed , Expressed as The charging speed of the battery. They represent the maximum charging speed and minimum charging speed of the battery respectively. The closer it is to 1, the better the battery health is.

[0028] Through the above technical solution, the health assessment coefficient of the battery can be confirmed by the battery's charge and discharge times information, remaining capacity information, internal resistance information, temperature information and charging speed information to more comprehensively and accurately reflect the real health status of the battery. The charge and discharge times can reveal the battery's service life process, and the remaining capacity directly reflects the current availability of the battery; the change in internal resistance can reveal the degree of battery aging, while temperature and charging speed are important environmental and operational factors that affect battery performance and life. Through comprehensive analysis of the above factors, the system can timely discover potential battery problems, such as capacity attenuation, excessive internal resistance or overheating, so as to avoid battery failure during use, and can help managers optimize battery use and maintenance strategies, extend battery life, and reduce operating costs. For users, the battery rental system based on the health assessment coefficient can provide more reliable battery services, reduce the inconvenience caused by battery failure or performance degradation, and improve user experience.

[0029] Furthermore, obtaining the usage information corresponding to the battery rental and confirming the rental fee also includes: Acquire the return operation corresponding to the target user when returning the leased battery, and input the return operation into a preset return operation processing model, thereby determining the target user's corresponding irregular return behavior, and when the target user has irregular return behavior, mark the target user once; Get the number of marks corresponding to the target user , and the number of marks corresponding to the target user The preset marking threshold interval Make a comparison; If the target user's corresponding number of marks , then there is no need to output a warning signal to the target user; If the target user's corresponding number of marks In When the target user is in between, a warning signal needs to be output to the target user; If the target user's corresponding number of marks , then you need to take action against the target user.

[0030] Specifically, the preset return operation processing model is generated through machine learning and neural network models. Non-standard return behaviors include physical damage, timed return, wrong return location, etc. In the embodiment of the present application, the processing measures taken against the target user include but are not limited to fines or temporary account suspension.

[0031] An embodiment of the present invention provides a rental management platform based on a smart charging cabinet, comprising at least one processor, a memory and at least one network interface. The various components in the rental management platform are coupled together through a bus system. It can be understood that the bus system is used to realize the connection and communication between these components. In addition to the data bus, the bus system also includes a power bus, a control bus and a status signal bus.

[0032] The memory in the embodiment of the present invention is used to store various types of data to support the operation of the rental management platform. Examples of such data include: any computer program used to operate on the rental management platform.

[0033] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0034] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0035] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A rental management system based on smart charging cabinets, characterized in that: include: An intelligent charging cabinet, comprising a plurality of battery storage units, each of which is provided with a charging interface for storing batteries; The terminal device is used to respond to the rental signal corresponding to the target user and obtain the location information and battery information corresponding to each smart charging cabinet; A processing module, used to analyze the location information and battery information corresponding to each smart charging cabinet, and classify the selection priority of each smart charging cabinet according to the analysis result, and then determine the optimal charging cabinet based on the selection priority of each smart charging cabinet, and rent batteries according to the optimal charging cabinet; The judgment module is used to obtain the usage information corresponding to the battery rental, confirm the rental fee, and then compare the rental fee with the actual payment fee corresponding to the target user, and formulate a management strategy based on the comparison results; The response module is used to execute the management strategy and output a payment exception signal to the terminal device corresponding to the target user.

2. According to claim 1, a rental management system based on a smart charging cabinet is characterized in that: The battery information corresponding to each smart charging cabinet includes the number of available batteries, the average battery power and the battery health assessment coefficient corresponding to each smart charging cabinet; The usage information corresponding to the battery rental includes rental duration information and battery usage information.

3. According to claim 2, a rental management system based on a smart charging cabinet is characterized in that: Analyze the location information and battery information of each smart charging cabinet, including: The current location information of the target user is collected in real time through the terminal device corresponding to the target user, and then the latitude and longitude coordinate information corresponding to the target user is confirmed. ; Confirm the location information of each smart charging cabinet and extract the longitude and latitude coordinate information of each smart charging cabinet ,in, Indicates the number corresponding to each smart charging cabinet; By formula , confirm the location evaluation coefficients of the target users and each smart charging cabinet ,in, is the radius of the Earth, It is indicated as the preset reference maximum distance; Obtain the battery information corresponding to each smart charging cabinet, and extract the number of available batteries corresponding to each smart charging cabinet from the battery information , Average battery charge and battery health assessment factor ; By formula , confirm the battery status evaluation coefficient corresponding to each smart charging cabinet ,in, Respectively represented as preset weight coefficients; The location evaluation coefficients of the target users and each smart charging cabinet Battery status evaluation coefficient corresponding to each smart charging cabinet Substitute into the formula , calculate the comprehensive evaluation coefficient corresponding to each smart charging cabinet ,in, They are respectively represented as preset weight coefficients.

4. According to claim 3, a rental management system based on a smart charging cabinet is characterized in that: According to the analysis results, the selection priorities of each smart charging cabinet are divided, and then the optimal charging cabinet is determined based on the selection priorities of each smart charging cabinet, including: Confirm the comprehensive evaluation coefficient corresponding to each smart charging cabinet, and arrange the comprehensive evaluation coefficients corresponding to each smart charging cabinet in descending order, and then prioritize the smart charging cabinets according to the results of the descending order; According to the selection priorities corresponding to the smart charging cabinets, the smart charging cabinet with the highest selection priority is determined, and the smart charging cabinet is set as the optimal charging cabinet.

5. According to claim 2, a rental management system based on a smart charging cabinet is characterized in that: Obtain usage information corresponding to battery rental and confirm the rental fee, including: Obtain usage information corresponding to the battery rental, and extract the rental duration from the usage information corresponding to the battery rental and battery usage ; Extract the cost rate corresponding to the preset unit rental time from the cloud database Cost rate corresponding to unit battery usage ; By formula , confirm the rental fee corresponding to the battery rental ,in, Expressed as a preset base fee; The rental fee corresponding to the battery rental The actual payment costs corresponding to the target users Calculate the difference and confirm the cost difference ; If the cost difference , then the rental fee is deemed to be compliant; If the cost difference , then it is determined that there is a difference in rental costs and further management is required.

6. According to claim 3, a rental management system based on a smart charging cabinet is characterized in that: The process of obtaining the battery health assessment coefficient corresponding to each smart charging cabinet includes: Obtain battery health indicator information corresponding to each battery in the smart charging cabinet, wherein the battery health indicator information includes charge and discharge times information, remaining capacity information, internal resistance information, temperature information and charging speed information; The battery health index information corresponding to each battery in the smart charging cabinet is normalized, and then the formula , confirm the battery health assessment coefficient corresponding to each battery in the smart charging cabinet ; in, Indicates the number of each battery in the smart charging cabinet. , They are respectively represented by the numbers in the smart charging cabinet The normalized processing function corresponding to the number of battery charge and discharge times, remaining capacity, internal resistance, temperature, and charging speed, Expressed as a preset weight coefficient; By formula , confirm the battery health assessment coefficient corresponding to the smart charging cabinet ,in, Indicates the number of batteries corresponding to the smart charging cabinet. Expressed as The weight coefficient corresponding to each battery.

7. According to claim 1, a rental management system based on a smart charging cabinet is characterized in that: Obtain the usage information corresponding to the battery rental. After confirming the rental fee, it also includes: Acquire the return operation corresponding to the target user when returning the leased battery, and input the return operation into a preset return operation processing model, thereby determining the target user's corresponding irregular return behavior, and when the target user has irregular return behavior, mark the target user once; Get the number of marks corresponding to the target user , and the number of marks corresponding to the target user The preset marking threshold interval Make a comparison; If the target user's corresponding number of marks , then there is no need to output a warning signal to the target user; If the target user's corresponding number of marks In When the target user is in between, a warning signal needs to be output to the target user; If the target user's corresponding number of marks , then you need to take action against the target user.

8. A rental management platform based on smart charging cabinets, characterized in that: It includes a processor and a memory for storing a computer program that can be run on the processor, wherein the processor, when running the computer program, executes a rental management system based on a smart charging cabinet as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a rental management system based on a smart charging cabinet as described in any one of claims 1 to 7.

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