KR20240056685A - Vehicle rental service provision system - Google Patents

Abstract

The present invention provides a car subscription list that meets the optimal conditions required by the user by comprehensively determining the user's information and usage patterns input from the user terminal, and provides a rental service for the car desired by the user through the provided car subscription list. It relates to a car rental service provision system that provides compensation services for car rental to car owners at the same time.

Description

Vehicle rental service provision system

The present invention relates to a car rental service provision system, and more specifically, to provide detailed information on cars to be rented, provide appropriate compensation corresponding to rental usage patterns for car subscriptions, and activate rental services for car subscriptions. It is about a vehicle rental service provision system.

Recently, the number of users who rent a car for a set period of time or use services such as sharing rather than purchasing a car directly has been increasing, and even though they own a car, they use public transportation, such that idle time takes up a larger proportion of the car's operating time. also exists.

In addition, since taxes and maintenance costs arise when purchasing a vehicle, the number of customers who rent a vehicle is increasing due to the advantage of not incurring additional costs other than gas costs by renting a vehicle.

As the number of customers increases, the information of the car to be rented can be checked in real time through an application using a smartphone that can reflect the detailed information of the car to be rented, and as the number of customers using such applications increases, the market is active. It is happening.

However, although it is possible to check information about the car to be rented regardless of location and time, there is a problem in that it does not recommend cars corresponding to the model year and provides compensation for car rental usage patterns.

Taking the prior art related to the car rental service provision system of the present invention as an example, Patent Document 1: Real-time car reservation/vehicle rental system and service method configures individual rental car companies in each region into one network to determine the region and vehicle type that the user wishes to rent. By searching for and providing a list of companies, the user can select the company and car type, but the problem of not being able to recommend cars corresponding to the model and model year of the car to be rented and providing compensation for car rental usage patterns could not be resolved.

In addition, Patent Document 2 electric vehicle sharing device, system, and electric vehicle sharing method allows rental and return of electric vehicles through a user interface included in the electric vehicle, without the need for separate rental building facilities or dedicated terminal devices. , Electric vehicles can be rented and returned at any charging station configured to communicate with the central management module.

In addition, Patent Document 3's used rental car rental and management system allows customers who need a rental car in special situations such as an accident or a customer who has made a reservation according to personal needs to check vehicle information and select it directly through the customer's terminal.

In addition, Patent Document 4's used car sales system allows customers who wish to purchase a used car to check the vehicle information and select it directly, and after receiving the used car, rents it for a certain period of time through a rental system, allowing the buyer to freely drive and inspect the used car. This allows customers to purchase directly based on reliable information about the condition of the vehicle.

In addition, Patent Document 5, a used car trading system and used car trading method involving vehicle rental, provides a used car trading service with high buyer satisfaction by allowing buyers to check the condition of the vehicle directly and purchase it by test driving the used car to be purchased during the rental period.

Accordingly, there is a need for a car rental service provision system that can have the effect of revitalizing car rental services by recommending cars corresponding to the model and year of the car to be rented, and providing compensation for car rental usage patterns.

Registered Patent Publication No. 10-0075071 (2003.09.22.) Registered Patent Publication No. 10-1182408 (2011.10.27.) Public Patent Publication No. 10-2021-0040547 (2021.04.14.) Public Patent Publication No. 10-2021-0087700 (2021.07.13.) Registered Patent Publication No. 10-1185968 (2012.09.25.)

The purpose of the present invention is to provide a car rental service provision system that recommends cars corresponding to the model and year of the car to be rented, and provides compensation for car rental usage patterns.

Another purpose of the present invention is to provide a car rental service providing system that provides additional information depending on whether the car model to be rented is an internal combustion engine or electric car and recommends a car suitable for the user terminal.

Another purpose of the present invention is to provide a car rental service providing system that collects detailed information about the car by communicating with the internal computer of the car to be rented and displays the latest information at the time of rental.

According to a preferred embodiment of the present invention, the car rental service providing system lists the status information of the car to be rented when a car rental menu is selected, displays the status information of the car selected in the list in detail, and makes the rental decision. a user terminal (10) that sequentially processes the following processes so that reservation and payment can be processed; a manager server 20 that serves as a backend to respond to a car rental request from the user terminal 10 and provides data displayed on the user interface screen of the user terminal 10; A search that supports data retrieval of the manager server 20, sets various information such as car model, model year, and driving distance, searches the DB for car information matching the set information, and provides it to the manager server 20. engine (30); And a compensation module that provides a reward package of points and gift certificates to the user terminal 10 by referring to the menu usage pattern, car selection pattern, and user information collected by the manager server 20 for the user terminal 10 ( 40); and is characterized in that it includes.

In addition, a refueling module 50 that is activated when an internal combustion engine is selected in the vehicle model menu and provides the refueling type and refueling capacity to the manager server 20; and a maintenance module 60 that is activated when an internal combustion engine is selected from the vehicle model menu and provides information on serviced parts and model year to the manager server 20.

In addition, it is characterized by further including a charging module 70 that is activated when the vehicle type is an electric vehicle and collects information about battery capacity and number of charging times from the computer inside the vehicle and provides the information to the manager server 20.

In addition, the car rental system may include a user terminal 10 and an administrator server 20, and is characterized by using Equation 1 to calculate the recommendation score.

[Equation 1]

Recommendation score = Weight 1 × Vehicle model variable evaluation function + Weight 2 × Year variable evaluation function + Weight 3 × Driving distance variable evaluation function

Here, the vehicle model variable evaluation function evaluates the vehicle model variable, the model year variable evaluation function evaluates the model year variable, the driving distance variable evaluation function evaluates the driving distance variable, and the vehicle model variable evaluation function, model year variable evaluation function, and driving distance variable. Logarithmic functions and root functions can be used as evaluation functions.

In addition, the car rental service providing system is characterized by calculating a recommendation score for an internal combustion engine vehicle model using Equation 2.

[Equation 2]

Recommendation score = weight 4 × parts variable evaluation function + weight 5 × fuel variable evaluation function

Here, the part variable evaluation function evaluates the part variable, the refueling variable evaluation function evaluates the refueling variable, and the part variable evaluation function and refueling variable evaluation function may use a logarithmic function or a root function.

The present invention can have the effect of activating rental services for car subscriptions by recommending cars corresponding to the model and year of the car to be rented, and providing compensation for rental usage patterns for car subscriptions.

In addition, the present invention can have the effect of allowing users to rent the car they want by providing additional information depending on whether the car model to be rented is an internal combustion engine or electric car and recommending a car suitable for the user terminal.

In addition, the present invention can have the effect of accurately determining the information of the car to be rented by collecting detailed information of the car by communicating with the internal computer of the car to be rented and displaying the latest information at the time of rental.

Figure 1 is a block diagram showing the configuration of the car rental service provision system of the present invention.
Figure 2 is an example diagram showing the user interface of the car rental service providing system in Figure 1.
Figure 3 is a flowchart showing the car rental operation of the car rental service providing system in Figure 1.
Figure 4 is a block diagram showing the configuration of an internal combustion engine vehicle model of the car rental service providing system in Figure 1.
Figure 5 is an example diagram showing the user interface for an internal combustion engine vehicle model of the car rental service providing system in Figure 1.
Figure 6 is a flow chart showing the car rental operation of the internal combustion engine model of the car rental service providing system in Figure 1.
Figure 7 is a block diagram showing the configuration of electric vehicle models of the car rental service provision system in Figure 1.
Figure 8 is an example diagram showing the user interface of the electric vehicle model of the car rental service providing system in Figure 1.
Figure 9 is a flowchart showing the car rental operation of the electric vehicle model of the car rental service providing system in Figure 1.
Figure 10 is an example diagram illustrating the hardware resources, operating system, operation of the core control unit, and system authentication configuration that grants authority to execute the control unit operation to explain the present invention.
Figure 11 is an example diagram showing the application of a neural network to explain the present invention.
Figure 12 is an example diagram showing the item input configuration of the car rental service providing system in Figure 1.

Hereinafter, a vehicle rental service providing system according to a preferred embodiment of the present invention will be described in detail with reference to the drawings. Below, descriptions of previously known matters are omitted or simplified to clarify the gist of the present invention. The components included in the description of the present invention operate individually or in combination.

Figure 1 is a block diagram showing the configuration of the car rental service providing system of the present invention. Referring to Figure 1, the car car rental system includes a user terminal 10, an administrator server 20, a search engine 30, and a compensation module ( 40).

The user terminal 10 registers as a member of the car rental service providing system, passes system authentication, and uses the rental service for car subscription. The user terminal 10 may be a computer, tablet, or smartphone, and interacts with the car rental service provision system of the manager server 20 and displays a user interface screen. The user terminal 10 displays a car rental menu and car status information on the user interface screen, and displays the corresponding screen according to menu selection. When the rental menu for car subscription is selected, the user terminal 10 lists the status information of the car to be rented, displays the status information of the car selected in the list in detail, and processes reservation and payment when the rental decision is selected. Process the following processes sequentially.

The user terminal 10 agrees to register the car in the system when signing a long-term rental contract, and agrees to the conditions for posting the car in the system when a rental contract that meets certain conditions is requested during use. The manager server 20 exposes the long-term rented car to the user terminal 10 that has registered as a member, stops all matters accompanying the existing rental contract when a rental contract is requested, and connects the user terminal 10 for which the rental contract has been applied. Sign a rental contract. The manager server 20 records and stores the log on the system and stores the log until the rental contract period with the user terminal 10.

The user terminal 10 pre-enters specific conditions such as the user's desired vehicle type, price, region, year, and mileage into the system, and the manager server 20 stores the specific conditions and registers cars that meet the conditions in the system. When notified to the user terminal (10). The user terminal 10 concludes a rental contract for a car that meets the conditions and uses a rental service for car subscription.

The manager server 20 serves as a backend that responds to car rental requests from the user terminal 10 and provides data displayed on the user interface screen of the user terminal 10. The manager server 20 provides menu data that can be provided by the car rental system to the user terminal 10, reads status information of the car to be rented from the DB, and provides it to the user terminal 10. The manager terminal 20 provides data corresponding to the menu selection of the user terminal 10, collects the menu usage pattern, car selection pattern, and user information of the user terminal 10, and selects a car suitable for the user terminal 10. Car rental algorithm is performed to recommend. A machine learning algorithm using a neural network can be used in the car rental algorithm.

The search engine 30 supports data search of the manager server 20, sets various information such as car model, year, and driving distance, and searches the DB for car information matching the set information to the manager server 20. provided to. The search engine 30 is not limited to searching data in the DB, but has a crawling function that accesses an external DB to collect and search necessary data. The crawling function performs external DB access, DB interface, and data search, and collects detailed information on cars to be rented and provides them to the manager server 20. The manager server 20 individually manages car information collected from an external DB and performs various matters such as advance reservations and escrow payments so that rentals can be processed normally.

The compensation module 40 provides a reward package of points and gift certificates to the user terminal 10 by referring to the menu usage pattern, car selection pattern, and user information collected by the manager server 20 for the user terminal 10. The compensation module 40 collects information on the compensation package registered by the administrator, the compensation package registered by the owner of the car to be rented, and the user's preferred compensation package, and performs a compensation algorithm to generate points and gift certificates appropriate for the user terminal 10. Process so that payment can be made. In addition to the compensation package information, the compensation algorithm applies car rental pattern information of the user terminal 10, such as the number of car rentals and rental period of the user terminal 10.

FIG. 2 is an exemplary diagram showing the user interface of the car rental service providing system of FIG. 1. Referring to FIG. 2, the user interface includes a menu bar 21, a car image 22, and car status information 23.

The menu bar 21 may be displayed at the top of the user interface screen to facilitate access to the car rental service of the user terminal 10 when the car rental service of the car rental service providing system is provided. The menu bar 21 facilitates menu access when the user terminal 10 uses car rental services such as rental, installment, and contract. Rental is a car rental, Installment is a menu that sets installment conditions, and Contract is a menu that proceeds with a car rental contract.

The car image 22 displays 2D and 3D images of the car to be rented, and when the car image 22 is selected, a detailed image of the car to be rented is displayed. Detailed images may include exterior images taken from various angles, images of the car's interior, engine room, trunk, and underbody images.

The car status information 23 displays the model, model year, and driving distance of the car to be rented as objective indicators. The vehicle type includes an internal combustion engine and an electric vehicle, the year of production is the year of production, and the distance traveled by the vehicle may be collected from the car's internal computer to the manager server 20 and provided to the user terminal 10. The car's internal computer can provide car status information 23 to the manager server 20 in real time through a communication module. At this time, system authentication is required between the car's internal computer and the manager server 20.

Figure 3 is a flowchart showing the car rental operation of the car rental service providing system in Figure 1. Referring to Figure 3, the car car rental system queries the car model (S101), enters the car model variable (S102), and queries the model year. (S103), enter the year variable (S104), query the driving distance (S105), enter the driving distance variable (S106), and calculate the recommendation score by combining the vehicle model variable, model year variable, and driving distance variable. (S107).

[Equation 1]

Recommendation score = Weight 1 × Vehicle model variable evaluation function + Weight 2 × Year variable evaluation function + Weight 3 × Driving distance variable evaluation function

Here, the vehicle model variable evaluation function evaluates the vehicle model variable, the model year variable evaluation function evaluates the model year variable, the driving distance variable evaluation function evaluates the driving distance variable, and the vehicle model variable evaluation function, model year variable evaluation function, and driving distance variable. Logarithmic functions and root functions can be used as evaluation functions.

The car rental service providing system may be a user terminal 10 or an administrator server 20, and Equation 1 may be used to calculate the recommendation score. The car rental system determines which of the vehicle model variables, year variables, and driving distance variables will be given higher weight for weights 1 to 3 in Equation 1 by determining the menu usage pattern of the user terminal 10, car selection pattern, and user information. It can be decided by taking into account .

The car rental service providing system can create a list of cars to be rented using the recommendation score, and a car to be rented can be selected from the car list displayed on the user terminal 10.

Figure 4 is a block diagram showing the configuration of the internal combustion engine vehicle type of the car rental service providing system in Figure 1. Referring to Figure 4, the internal combustion engine vehicle type configuration includes the user terminal 10, the manager server 20, and the search engine ( 30), in addition to the compensation module 40, it includes a refueling module 50 and a maintenance module 60.

The refueling module 50 is activated when an internal combustion engine is selected in the vehicle model menu and provides the refueling type and refueling capacity to the manager server 20. The refueling module 50 communicates with the vehicle's internal computer to collect data on refueling type and refueling capacity, and provides the collected data to the manager server 20. If the refueling module 50 fails to communicate with the vehicle's internal computer, the manager server 20 provides general data corresponding to the vehicle model and year to the user terminal 10.

The maintenance module 60 is activated when an internal combustion engine is selected from the vehicle model menu and provides information on serviced parts and model year to the manager server 20. The maintenance module 60 communicates with the vehicle's internal computer and the maintenance computer to collect data on parts maintained and their model year, and provides the collected data to the manager server 20. If the maintenance module 60 fails to communicate with the vehicle's internal computer, it attempts to communicate with the maintenance computer, and the manager server 20 provides information collected from the vehicle's internal computer and the maintenance computer to the user terminal 10.

FIG. 5 is an exemplary diagram showing the internal combustion engine vehicle model user interface of the car rental service providing system of FIG. 1. Referring to FIG. 5, the internal combustion engine vehicle model user interface includes maintenance information 24 in addition to the user interface of FIG. 2. .

The maintenance information 24 is activated when the vehicle model is selected as an internal combustion engine, and provides maintenance information on parts and model year. The internal combustion engine vehicle model user interface activates maintenance information 24 and displays it on the user terminal 10, and the user terminal 10 displays maintenance information 24 when the vehicle model is an internal combustion engine, allowing the user to know about the internal combustion engine vehicle model. Assists in checking maintenance information (24).

Figure 6 is a flowchart showing the car rental operation of the internal combustion engine model of the car rental service providing system in Figure 1. Referring to Figure 6, the car car rental system queries whether or not maintenance is performed (S201), inputs the serviced part variables ( S202), query whether to refuel (S203), enter refueling variables (S204), and calculate the recommendation score by combining the parts variables and refueling variables (S107).

[Equation 2]

Recommendation score = weight 4 × parts variable evaluation function + weight 5 × fuel variable evaluation function

Here, the part variable evaluation function evaluates the part variable, the refueling variable evaluation function evaluates the refueling variable, and the part variable evaluation function and refueling variable evaluation function may use a logarithmic function or a root function.

The car rental service providing system may be a user terminal 10 and an administrator server 20, and the car rental service providing system may calculate a recommendation score for an internal combustion engine vehicle model using Equation 2. The car rental service providing system determines which variable among the parts variable and the fuel variable will be given higher weight for weights 4 to 5 in Equation 2 by considering the menu usage pattern of the user terminal 10, car selection pattern, and user information. You can decide.

FIG. 7 is a block diagram showing the configuration of the electric vehicle model of the car rental service providing system in FIG. 1. Referring to FIG. 7, the electric vehicle model configuration includes the user terminal 10, manager server 20, and search engine 30 of FIG. 1. , and includes a charging module 70 in addition to the compensation module 40.

The charging module 70 is activated when the vehicle type is an electric vehicle, and collects information about battery capacity and number of charging times from the computer inside the vehicle and provides it to the manager server 20. The manager server 20 provides information on battery capacity and number of charging collected from the charging module 70 to the user terminal 10.

If the charging module 70 fails to communicate with the computer inside the vehicle, the manager server 20 provides information about the general battery capacity and number of charging times for the electric vehicle model to the user terminal 10.

FIG. 8 is an example diagram showing the electric vehicle model user interface of the car rental service providing system of FIG. 1. Referring to FIG. 8, the electric vehicle model user interface displays charging information 25 in addition to the user interface of FIG. 2.

The charging information 25 is activated when the vehicle type is selected as an electric vehicle, and displays the number of charging times and battery capacity of the electric vehicle. Charging information 25 is collected from the vehicle's internal computer and provided to the user terminal 10. If the user terminal 10 fails to collect charging information 25 from the car's internal computer, it displays general charging information 25.

Figure 9 is a flowchart showing the rental operation for subscription to an electric vehicle model of the car rental service providing system in Figure 1. Referring to Figure 9, the car rental service providing system queries the battery capacity (S301) and inputs the battery capacity variable. (S302), query the number of charging times (S303), input the number of charging variables (S304), and calculate the recommendation score by combining the battery capacity variables and number of charging times (S107).

[Equation 3]

Recommendation score = weight 6 × battery capacity variable evaluation function + weight 7 × charging number variable evaluation function

Here, the battery capacity variable evaluation function evaluates the battery capacity variable, the charging number variable evaluation function evaluates the charging number variable, and the battery capacity variable evaluation function and the charging number variable evaluation function may use a logarithmic function or a root function.

The car rental service providing system can be a user terminal 10 and an administrator server 20, and the car rental service providing system can calculate a recommendation score for an electric vehicle model using Equation 3. The car rental service providing system determines which of the battery capacity variables and charging number variables will be given higher weight for weights 6 to 7 in Equation 3 by using the menu usage pattern, car selection pattern, and user information of the user terminal 10. You can decide by taking this into consideration.

FIG. 10 is an exemplary diagram illustrating hardware resources and an operating system, operations of a core control unit, and a system authentication configuration that grants authority to execute control unit operations for illustrating the present invention. Referring to FIG. 10, the present invention is a processor (1). ), memory (2), input/output device (3), operating system (4), and control unit (5).

The processor (1) is a CPU (Central Processing Unit), GPU (Graphic Processing Unit), FPGA (Field Programmable Gate Array), and NPU (Neural Processing Unit), and the operating system (4) and control unit (5) mounted on the memory (2) ) executes the execution code.

Memory (2) includes permanent mass storage devices such as random access memory (RAM), read only memory (ROM), disk drives, solid state drives (SSD), and flash memory. can do.

The input/output device 3 is an input device, such as a camera, keyboard, microphone, mouse, etc. including an audio sensor and/or image sensor, and an output device such as a display, speaker, haptic feedback device, etc. May include devices.

The operating system 4 may include Windows, Linux, IOS, a virtual machine, a web browser, and an interpreter.

The control unit 5 determines the state based on sensor, key, touch, and mouse input of the input/output device 3 with the support of the operating system 4 and performs operations according to the determined state. The control unit 5 performs job scheduling by timers and threads using parallel execution routines.

The control unit 5 determines the state using the sensor value of the input/output device 3 and performs an algorithm according to the determined state.

Referring to Figure 10, the system authentication configuration includes a terminal 6 including a control unit 5, and an authentication server 7. The terminal 6 may be a user terminal 10.

The terminal 6 duplicates the data channel, receives the key value and biometric information of the terminal 6, and requests user authentication through the first data channel to the authentication server 7, and the terminal 6 receives the generated kit value. It is displayed on the display and transmitted to the authentication server (7).

The terminal 6 inputs the kit value displayed on the display of the terminal 6 and transmits it along with the user information to the authentication server 7 through the second data channel. The terminal 6 requests the authentication server 7 to authenticate the system mounted on the terminal 6 using the kit value and user information. The kit value of the terminal 6 can be generated from computer-specific information, such as the CPU manufacturing number and the Ethernet chip number. The terminal 6 can obtain user information through face recognition using a camera, voice recognition using a microphone, and handwriting recognition using a display, and use it for authentication.

The authentication server 7 receives the kit value from the terminal 6, receives the kit value and user information from the terminal 6 through a duplicated data channel, compares the kit value and the user information of the terminal 6, and By matching, authentication for use of the system of the terminal 6 is processed. The authentication server 7 transmits the authentication result to the terminal 6 to authorize the user's use of the system. Due to the dual data channels of the terminal 6, kit value loss can be minimized.

The authentication server 7 performs history analysis of user information and compares and determines consistency and changes in user information over time. In history analysis, if user information shows consistency, the user's use is permitted; if it shows changes, the user's use is not permitted. By allowing users to use the system when user information shows consistency, security is strengthened to prevent users with altered user information from accessing the system.

The terminal 6, which is a means of authenticating the use of the system, does not connect directly to the system, but forms a bypass route through the authentication server 7, so that the network that makes up the Internet network is composed of an internal network and an external network, and the IP address setting process There is an advantage that the authentication process using the terminal 6 is performed smoothly in this cumbersome time. At this time, the system is mounted on the terminal 6, the terminal 6 becomes an authentication terminal means, and the authentication server 7 becomes an authentication server means.

Figure 11 is an exemplary diagram showing the application of a neural network to explain the present invention, which will be explained with reference to Figure 11.

Neural network learning selects features from time series data collected from input devices such as temperature, altitude, fingerprints, various sensors, images, infrared cameras, and lidar, selects a model through algorithm selection, and repeats through the learning and performance verification process. Model selection is repeated through trial and error. After performance verification is completed, an artificial intelligence model is selected.

The control unit 5 performs a deep learning algorithm using a neural network to determine sensor values, uses training data to learn the neural network, and verifies the neural network performance with test data.

Figure 12 is an example diagram showing the item input configuration of the car rental service providing system in Figure 1. Referring to Figure 12, the item input configuration includes an auto-complete window 910, recommended vocabulary 920, and settings 930. .

When a word or number is entered into an item of the system, the auto-completion window 910 transmits the input word to the system and automatically completes the optimal word, thereby automating the input of the word or number.

The recommended word book 920 displays a recommended list of words or numbers to be entered in the auto-completion window 910, and the recommended words or numbers are displayed according to the total frequency, individual frequency, and quarterly frequency of the settings 930.

Setting 930 is the total frequency of words or numbers entered into the system; Frequency of words or numbers entered by each individual; Frequency of words or numbers by quarter in the yearly trend; and the system lists recommended words or numbers in the recommended word book 920 according to the frequency setting selected in the settings 930 and displays the words or numbers in the auto-completion window 910. Select and enter. Quarterly trends may vary when automotive products exhibit seasonal factors, and in such cases quarterly frequency may have an effect on item entry.

The present invention is not limited to the specific preferred embodiments described above, and various modifications can be made by anyone skilled in the art without departing from the gist of the invention as claimed in the claims. Of course, such changes are within the scope of the claims.

1: Processor 2: Memory
3: Input/output device 4: Operating system
5: Control unit 6: Terminal
7: Authentication server
10: user terminal 20: administrator server
21: Menu Bar 22: Car Image
23: Car status information 24: Maintenance information
25: Charging information 30: Search engine
40: Compensation module 50: Refueling module
60: Maintenance module 70: Charging module

Claims (3)

When the rental menu for car subscription is selected, the status information of the car to be rented is listed, the status information of the car selected from the list is displayed in detail, and when the rental decision is selected, the following processes are sequentially performed to process reservation and payment. a user terminal (10) that displays and provides a user interface screen for processing;
The rented car is exposed to the user terminal registered as a member, all matters accompanying the existing rental contract are suspended when the rental contract is requested, a rental contract is concluded with the user terminal 10 for which the rental contract has been applied, and the corresponding log on the system is A manager server 20 that stores records, acts as a backend to store the log until the rental contract period with the user terminal 10, and provides data displayed on the user interface screen of the user terminal 10;
It further includes a crawling function that accesses an external DB to collect and search necessary data. The crawling function performs external DB access, DB interface, and data search, collects detailed information of the car to be rented, and sends it to the manager server 20. a search engine 30 that provides, sets information including the car model, model year, and driving distance, searches the DB for car information matching the set information, and provides the car information to the manager server 20;
Collects information on the reward package registered by the administrator, the reward package registered by the owner of the car to be rented, and the user's preferred reward package, and the menu usage pattern and car selection pattern collected by the manager server 20 for the user terminal 10. , a compensation module 40 that provides a compensation package of points and gift certificates to the user terminal 10 by referring to user information; and
Receive a kit value from the user terminal 10, receive the kit value and user information from the user terminal through a duplicated data channel, compare the kit value of the user terminal 10 with the user information, and match the user information to the user. Includes an authentication server (7) that processes authentication for system use of the terminal (10),
The manager server 20 is activated when the vehicle model is an electric vehicle, and a charging module 70 collects information on battery capacity and number of charging times from the car's internal computer and provides the information to the manager server 20. In the car rental system for,
The car rental system performs a rental operation for car subscription using the user terminal 10 or the manager server 20,
The rental operation for the car subscription is
Querying the vehicle type and entering vehicle type variables;
Querying the model year and inputting the model year variable;
Querying the driving distance and inputting the driving distance variable; and
Comprising a recommendation score by combining the vehicle type variable, model year variable, and driving distance variable, generating a list of cars to be rented using the calculated recommendation score, and providing the generated car list to the user terminal 10. And
The recommended score for the above car list is
Apply a logarithmic function or root function to the input vehicle model variable, model year variable, and driving distance variable, determine weights 1 to 3 with different weights depending on the menu usage pattern of the user terminal, car selection pattern, and user information, and log [Equation 1] as shown below, which is calculated by sequentially assigning higher weight to any one of the vehicle model variable, model year variable, and driving distance variable to which the function or root function is applied.
[Equation 1]
Recommendation score = Weight 1 × Vehicle model variable evaluation function + Weight 2 × Year variable evaluation function + Weight 3 × Driving distance variable evaluation function
(Here, the vehicle model variable evaluation function evaluates the vehicle model variable, the year variable evaluation function evaluates the model year variable, the driving distance variable evaluation function evaluates the driving distance variable, the vehicle model variable evaluation function, the model year variable evaluation function, and the driving distance Variable evaluation functions include logarithmic functions and root functions.)
When an electric vehicle model is selected from the car list, the car rental system performs a rental operation for subscribing to an electric vehicle model by providing the manager server 20 with information on the electric car collected from the charging module 70 to the user terminal 10. And
The rental operation for car subscription for the above electric vehicle model is
Querying battery capacity and entering battery capacity variables;
Querying the number of charges and entering a number of charges variable; and
Comprising a step of calculating a recommendation score for an electric vehicle model by combining the battery capacity variable and the charging number variable and providing the recommendation score to the user terminal 10;
The recommended scores for the above electric vehicle models are:
Apply a logarithmic function or root function to the battery capacity variable and charging number variable, determine weights 6 to 7 with different weights depending on the menu usage pattern of the user terminal, car selection pattern, and user information, and logarithmic function or root function [Equation 3] as shown below, which is calculated by sequentially assigning higher weight to any one of the applied battery capacity variable and the charging number variable.
[Equation 3]
Recommendation score = weight 6 × battery capacity variable evaluation function + weight 7 × charging number variable evaluation function
(Here, the battery capacity variable evaluation function evaluates the battery capacity variable, the charging number variable evaluation function evaluates the charging number variable, and the battery capacity variable evaluation function and the charging number variable evaluation function use a logarithmic function and a root function. ), including
The user interface provided on the user terminal 10 is
A menu bar 21 where car rental services including rental, installment, and contract are displayed at the top of the user interface screen,
A car image 22 on which one or more of a 2D or 3D image of a car to be rented is displayed and a detailed image of the selected car is displayed;
Car status information (23) is provided by displaying the model, year, and mileage of the car to be rented as indicators, and car status information (23) is provided in real time from the car's internal computer to the manager server (20) through a communication module. ,
A car rental service providing system, characterized in that system authentication is required between the car's internal computer and the manager server (20).
According to claim 1,
The search engine 30 further includes a crawling function that accesses an external DB to collect and search necessary data,
The crawling function is
Performs external DB access, DB interface, and data search, collects detailed information on cars to be rented, and provides them to the manager server 20. The manager server 20 individually manages car information collected from the external DB, A vehicle rental service provision system that includes performing all matters including advance reservation and escrow payment so that the rental can be processed normally.
According to claim 1,
The car rental system further includes an item input configuration,
The above item input configuration is
When a word or number is entered into an item of the system, an autocomplete window 910 that transmits the input word to the system and automatically completes the optimal word to automate the input of the word or number;
A recommended word book (920) that lists and displays recommended words or numbers to be entered in the auto-completion window (910);
It includes the total frequency of words or numbers entered into the system, the frequency of words or numbers entered by each individual, and the frequency of words or numbers by quarter in the annual trend. Depending on the selected frequency setting, recommended words or numbers are added to the recommended word book 920. A car rental service providing system comprising a setting (930) for listing numbers and selecting and entering words or numbers into the auto-completion window (910).

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