CN115334118A - Automatic wind control method and system for automobile leasing - Google Patents
Automatic wind control method and system for automobile leasing Download PDFInfo
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Abstract
The application provides an automatic automobile leasing wind control method and system, and relates to the technical field of wind control. An automatic wind control method for automobile leasing comprises the following steps: collecting the working state data of the rental car in real time, and calculating state description information matched with the rental car according to the working state data of the car; acquiring user basic information of a car rental user, and determining credit characteristic information corresponding to other users having social interaction with the user; and obtaining target credit characteristic information of the user based on the working state data of the rental car and the credit characteristic information of the car rental user, and determining car rental pneumatic control result information of the user. The risk control can be carried out according to the target credit characteristic information of the automobile leasing user, and the good risk control is achieved, so that the property safety of a company is effectively guaranteed. In addition this application has still provided an automatic wind control system of car lease, includes: the system comprises an automobile state acquisition module, a user information acquisition module and a wind control module.
Description
Technical Field
The application relates to the technical field of wind control, in particular to an automatic wind control method and system for automobile leasing.
Background
With the development of the internet, more and more families and individuals do not require to own automobiles for a long time due to the changes of working environments and labor modes, but use various automobiles in a 'call-to-come' mode, so that service requirements of rental vehicles are provided for automobile rental companies when necessary, and the service requirements become widely accepted and accepted behaviors and choices by the public. Driven by the strong social demand, the automobile leasing market has an unprecedented prosperous scene.
Wind control problems are 'stubborn diseases' in the car rental market all the time, a new travel mode of self-car rental is more and more popular in China, problems of car theft, malicious defaulting of rental money, loss of connection of cars in the rental process and the like are more and more frequent, and a plurality of car rental companies suffer huge losses. In a car rental company, a long rental service is the most important service line, and the biggest characteristic of the long rental service is heavy assets, and how to safely operate a car is the life line of the service. And vehicles are rented to users, the risks are inevitable, once vehicles are stolen and lost, the loss of platforms is huge, and therefore how to make risk control is a core barrier to be built by a taxi company.
Once the risk occurs, the loss of the vehicle is caused, and it is very difficult to compensate the loss again. Therefore, how to detect the risk in advance is that the credit degree and the danger index of the user can be predicted when the user rents the car, the user interception is carried out, and the important significance is brought to a car renting company for stopping the risk as soon as possible. At present, car rental companies mainly adopt some hard rules to control risks, for example, before a car is rented, a credit record or credit score of a user is inquired to see whether bad history exists, the dimension considered in the method is single, the recent condition of the user is not comprehensive only through the credit condition and the historical credit condition, and how to judge the current social circle and interpersonal communication condition of the user cannot be measured. In history, most cases of mortgage vehicles or stolen vehicles are illegal behaviors caused by the recent economic crisis of users; and aiming at the group partnering, the user can not only see the characteristic dimension of the individual, but also can be seen in the whole interaction circle, so that whether the user is at risk or not can be more comprehensively known through the relationship network.
Disclosure of Invention
The application aims to provide an automatic wind control method for automobile leasing, which can carry out risk control according to target credit characteristic information of automobile leasing users and has better risk control to effectively guarantee property safety of companies.
Another object of the present application is to provide an automatic wind control system for car rental, which can operate an automatic wind control method for car rental.
The embodiment of the application is realized as follows:
in a first aspect, an embodiment of the application provides an automatic wind control method for automobile rental, which includes collecting working state data of a rental automobile in real time, and calculating state description information matched with the rental automobile according to the working state data of the automobile; acquiring user basic information of a car rental user, and determining credit characteristic information corresponding to other users having social interaction with the user; and obtaining target credit characteristic information of the user based on the working state data of the rental car and the credit characteristic information of the car rental user, and determining car rental pneumatic control result information of the user.
In some embodiments of the present application, the collecting the operating status data of the rental car in real time, and calculating the status description information matched with the rental car according to the operating status data of the car includes: the amplitude data, the current data and/or the driving state data of the rental car are collected in real time through a car monitoring component arranged on the rental car.
In some embodiments of the present application, the above further includes: the method comprises the steps of obtaining automobile basic information of a rental automobile, screening out a target working state identification model matched with the rental automobile from all working state identification models according to the automobile basic information, inputting working state data into the target working state identification model, and obtaining start-up state description information matched with the rental automobile.
In some embodiments of the application, the obtaining of the user basic information of the car rental user and the determining of the credit feature information corresponding to the other users having social interaction with the user includes: and determining the common friend ratio of the user and other users according to the friend relationship information of the automobile renting user and the user, and determining the interaction frequency ratio of the user and other users according to the interaction relationship information of the user so as to determine the credit characteristic information of the automobile renting user.
In some embodiments of the present application, the obtaining target credit feature information of the user based on the operating state data of the rental car and the credit feature information of the car rental user, and determining the car rental management result information of the user includes: and acquiring the violation information of the automobile driving of the automobile leasing user, and calculating the expense information of the automobile leasing user according to the violation information, the binding duration, the charging mode and the expense standard.
In some embodiments of the present application, the above includes: and when the unprocessed expense of the automobile leasing user reaches a preset threshold value, the start-stop switch of the bound automobile cannot be started.
In some embodiments of the present application, the above further includes: and dynamically monitoring the maintenance cycle of the rental car, and sending maintenance early warning information to a car rental user when the rental car reaches the maintenance time point.
In a second aspect, an embodiment of the application provides an automatic wind control system for automobile rental, which includes an automobile state acquisition module, configured to collect working state data of a rental automobile in real time, and calculate state description information matched with the rental automobile according to the working state data of the automobile;
the system comprises a user information acquisition module, a credit characteristic information acquisition module and a credit characteristic information acquisition module, wherein the user information acquisition module is used for acquiring user basic information of a car rental user and determining credit characteristic information corresponding to other users having social interaction relations with the user;
and the wind control module is used for obtaining target credit characteristic information of the user and determining vehicle leasing wind control result information of the user based on the working state data of the leasing vehicle and the credit characteristic information of the vehicle leasing user.
In some embodiments of the present application, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the system comprises an automobile state acquisition module, a user information acquisition module and a wind control module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method such as any one of the automatic car rental management methods.
Compared with the prior art, the embodiment of the application has at least the following advantages or beneficial effects:
the method comprises the steps that user basic information of a car rental user and working state data of a rental car are obtained, the cost information of the rental car can be obtained in real time through a car networking terminal, the cost information is processed through a car rental platform, when the unprocessed cost of the car rental user reaches a preset threshold value, a remote power-off instruction is automatically triggered, and finally a start-stop switch of the car is controlled to be powered off through the car networking terminal, so that the car cannot be started again after being stopped; therefore, the risk control is better realized for the automobile leasing company, and the property safety of the company is effectively guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic step diagram of an automatic wind control method for automobile rental according to an embodiment of the present application;
fig. 2 is a detailed step diagram of an automatic automobile rental wind control method according to an embodiment of the present application;
fig. 3 is a schematic block diagram of an automatic wind control system for automobile rental according to an embodiment of the present disclosure;
fig. 4 is an electronic device according to an embodiment of the present disclosure.
Icon: 10-an automobile state acquisition module; 20-a user information acquisition module; 30-a wind control module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It should be noted that the term "comprises/comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of an automatic wind control method for car rental according to an embodiment of the present application, which is shown as follows:
step S100, collecting the working state data of the rental car in real time, and calculating state description information matched with the rental car according to the working state data of the car;
in some embodiments, the operating condition data may refer to data synchronously generated during the operation of the rental car, such as temperature data, amplitude data, current data of the rental car, and the like. The driving state description information may refer to state information of a lessee of the rental car performing a production job by operating the rental car, for example, information of a time when the lessee uses the rental car within one week, and the like. The driving state description information may include at least one of: driving rate, driving duration, and driving peak time period in at least one time cell. Wherein, the time unit can be day, week, month, etc. The working state data of the rental car can be collected in real time, and the matched driving state description information is calculated according to the working state data of the rental car.
Step S110, acquiring user basic information of a car rental user, and determining credit characteristic information corresponding to other users having social interaction with the user;
in some embodiments, for each car rental user, determining an affinity between the car rental user and other users based on social interaction information of the car rental user; and determining other users corresponding to the intimacy degree larger than the preset threshold value as other users having social interaction relationship with the automobile leasing user. In a specific implementation, the affinity can be calculated between every two users, and all the users do not need to be determined as other users having social interaction with the automobile leasing user. For each user, the other users corresponding to the affinity greater than the preset threshold value can be determined as the other users having social interaction with the car rental user. That is, the social circle of the user only keeps other users with higher affinity with the car rental user. After other users having social interaction with the car rental user are determined (namely after the social circle of the car rental user is determined), determining the number of bad credit behaviors of each other user having social interaction with the car rental user; and determining first credit characteristic information corresponding to other users having social interaction with the automobile leasing user based on the number and the intimacy of the bad credit behaviors corresponding to each other user. In the embodiment, the first credit characteristic information corresponding to other users having social interaction with the automobile leasing user is determined by the sum of the products of the number of bad credit behaviors corresponding to each other user and the intimacy degree. The poor credit activity includes at least one of a bad-account order, an overdue order, and an asset loss order. The number of bad credit actions includes the sum of the number of bad-account orders, overdue orders, and lost-asset orders.
And step S120, obtaining target credit characteristic information of the user based on the working state data of the rental car and the credit characteristic information of the car rental user, and determining car rental pneumatic control result information of the user.
In some embodiments, the warning condition may refer to an upper limit value of each health measure index value of the rental car. The early warning information may be information displayed to a car rental user of the rental car, and the information is used for warning the car rental user that a certain index or indexes of the rental car reach an early warning condition. The additional service may refer to a service other than the rental service provided to the lessee by the car rental user who rents the car. Specifically, the calculated health work weighing indexes of the rental cars are dynamically monitored to obtain monitoring results, if the health work weighing indexes meet corresponding early warning conditions according to the monitoring results, corresponding early warning information can be generated according to the health work weighing indexes meeting the early warning conditions and provided for car rental users, and the car rental users provide more humanized additional services for renters of the rental cars according to the early warning information.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of an automatic automobile rental wind control method according to an embodiment of the present application, which is shown as follows:
and S200, collecting the amplitude data, the current data and/or the driving state data of the rental car in real time through a car monitoring component arranged on the rental car.
And S210, obtaining automobile basic information of the rental automobile, screening out a target working state identification model matched with the rental automobile from all working state identification models according to the automobile basic information, inputting working state data into the target working state identification model, and obtaining start-up state description information matched with the rental automobile.
Step S220, aiming at the friend relation information of the automobile leasing user and the user, determining the common friend ratio of the user and other users, aiming at each other user, determining the interaction frequency ratio of the user and other users based on the interaction relation information of the user, and accordingly determining the credit characteristic information of the automobile leasing user.
And step S230, acquiring the violation information of the automobile driving of the automobile leasing user, and calculating the charge information of the automobile leasing user according to the violation information, the binding duration, the charging mode and the charge standard.
Step S240, when the unprocessed expense of the automobile leasing user reaches a preset threshold value, the start-stop switch of the bound automobile cannot be started.
And step S250, dynamically monitoring the maintenance cycle of the rental car, and sending maintenance early warning information to the car rental user when the rental car reaches the maintenance time point.
In some embodiments, dynamically monitoring each health work measurement index, and providing matching early warning information to the car rental user of the rental car when it is determined that the monitoring result determines that the early warning condition is satisfied, may include: and dynamically monitoring the maintenance cycle of the rental car, and providing maintenance early warning information for a car rental user when the rental car reaches the maintenance time point.
The maintenance time point may be the latest maintenance time point of the rental car obtained after the rental car is rented by the renter and the maintenance period of the rental car. The maintenance early warning information can be information displayed to the automobile leasing user and is used for warning the automobile leasing user that a certain leasing automobile reaches the latest maintenance time point and needs to be maintained on the leasing automobile. Optionally, the maintenance cycle in the rental car health work measurement index is dynamically monitored, and when the current rental car reaches or is about to reach the maintenance time point, maintenance early warning information matched with the rental car can be generated and provided for the car rental user.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of an automatic wind control system module for car rental according to an embodiment of the present application, which is shown as follows:
the automobile state acquisition module 10 is used for collecting the working state data of the rental automobile in real time and calculating state description information matched with the rental automobile according to the working state data of the automobile;
the user information acquisition module 20 is used for acquiring the user basic information of the automobile leasing user and determining credit characteristic information corresponding to other users having social interaction with the user;
and the wind control module 30 is used for obtaining target credit characteristic information of the user based on the working state data of the rental car and the credit characteristic information of the car rental user and determining the car rental wind control result information of the user.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the method and the system for automatic wind control of automobile leasing provided by the embodiment of the application acquire the user basic information of an automobile leasing user and the working state data of a leasing automobile, acquire the expense information of the leasing automobile in real time through the terminal of the Internet of vehicles, process the expense information through the automobile leasing platform, automatically trigger a remote power-off instruction when the unprocessed expense of the automobile leasing user reaches a preset threshold value, and finally control the power-off of a start-stop switch of the automobile through the terminal of the Internet of vehicles so that the automobile cannot be started again after being stopped; therefore, the risk control is better realized for the automobile leasing company, and the property safety of the company is effectively guaranteed.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An automatic wind control method for automobile leasing is characterized by comprising the following steps:
collecting the working state data of the rental car in real time, and calculating state description information matched with the rental car according to the working state data of the car;
acquiring user basic information of a car rental user, and determining credit characteristic information corresponding to other users having social interaction with the user;
and obtaining target credit characteristic information of the user based on the working state data of the rental car and the credit characteristic information of the car rental user, and determining car rental pneumatic control result information of the user.
2. The automatic wind control method for automobile rental of claim 1, wherein the step of collecting the operating state data of the rental automobile in real time and calculating the state description information matched with the rental automobile according to the operating state data of the automobile comprises the steps of:
the amplitude data, the current data and/or the driving state data of the rental car are collected in real time through a car monitoring component arranged on the rental car.
3. The automatic wind control method for automobile leasing, according to claim 2, characterized by further comprising:
the method comprises the steps of obtaining basic automobile information of a rental automobile, screening out a target working state identification model matched with the rental automobile from all working state identification models according to the basic automobile information, inputting working state data into the target working state identification model, and obtaining start-up state description information matched with the rental automobile.
4. The automatic wind control method for automobile leasing, according to claim 1, wherein the step of obtaining the user basic information of the automobile leasing user and the step of determining the credit feature information corresponding to other users having social interaction with the user comprises the steps of:
and determining the common friend ratio of the user and other users according to the friend relationship information of the automobile renting user and the user, and determining the interaction frequency ratio of the user and other users according to the interaction relationship information of the user so as to determine the credit characteristic information of the automobile renting user.
5. The method of claim 1, wherein the obtaining of the target credit characteristic information of the user based on the operating status data of the rental car and the credit characteristic information of the rental car user, and the determining of the result information of the rental car of the user comprises:
and acquiring the violation information of the automobile driving of the automobile leasing user, and calculating the expense information of the automobile leasing user according to the violation information, the binding duration, the charging mode and the expense standard.
6. The automatic wind control method for automobile leasing, according to claim 5, is characterized by comprising the following steps:
and when the unprocessed expense of the automobile leasing user reaches a preset threshold value, the start-stop switch of the bound automobile cannot be started.
7. The automatic wind control method for automobile leasing of claim 6, further comprising:
and dynamically monitoring the maintenance cycle of the rental car, and sending maintenance early warning information to a car rental user when the rental car reaches the maintenance time point.
8. An automatic wind control system for automobile leasing, comprising:
the automobile state acquisition module is used for collecting the working state data of the rental automobile in real time and calculating state description information matched with the rental automobile according to the working state data of the automobile;
the system comprises a user information acquisition module, a credit characteristic information acquisition module and a credit characteristic information acquisition module, wherein the user information acquisition module is used for acquiring user basic information of a car rental user and determining credit characteristic information corresponding to other users having social interaction relations with the user;
and the wind control module is used for obtaining target credit characteristic information of the user and determining vehicle leasing wind control result information of the user based on the working state data of the leasing vehicle and the credit characteristic information of the vehicle leasing user.
9. The automatic wind control system for automobile leasing, according to claim 8, characterized by comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the system comprises an automobile state acquisition module, a user information acquisition module and a wind control module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210971995.0A CN115334118A (en) | 2022-08-13 | 2022-08-13 | Automatic wind control method and system for automobile leasing |
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| CN202210971995.0A CN115334118A (en) | 2022-08-13 | 2022-08-13 | Automatic wind control method and system for automobile leasing |
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| Country | Link |
|---|---|
| CN (1) | CN115334118A (en) |
-
2022
- 2022-08-13 CN CN202210971995.0A patent/CN115334118A/en active Pending
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Application publication date: 20221111 |