CN111127227A

CN111127227A - Vehicle loss assessment method and device and related equipment

Info

Publication number: CN111127227A
Application number: CN201911371530.6A
Authority: CN
Inventors: 刘新; 贾秋峰
Original assignee: Shenzhen Launch Technology Co Ltd
Current assignee: Shenzhen Launch Technology Co Ltd
Priority date: 2019-12-26
Filing date: 2019-12-26
Publication date: 2020-05-08

Abstract

The embodiment of the application discloses a vehicle damage assessment method and device and related equipment. The vehicle damage assessment method comprises the following steps: acquiring a first detection report of a target vehicle, wherein the first detection report comprises respective first parameter values of N to-be-detected parameters of the target vehicle before a target tenant uses the target vehicle, and N is an integer greater than or equal to 1; acquiring a second detection report of a target vehicle, wherein the second detection report comprises second parameter values of the N to-be-detected parameters of the target vehicle after the target tenant uses the target vehicle; and comparing the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle. By adopting the embodiment of the application, the damage condition of the vehicle can be more reasonably and accurately determined, so that the working efficiency and the user reliability of the vehicle renting platform are effectively improved.

Description

Vehicle loss assessment method and device and related equipment

Technical Field

The application relates to the technical field of vehicle networking, in particular to a vehicle loss assessment method and device and related equipment.

Background

With the rapid development of the car networking technology and the increasing rising of the traveling demands of people, in order to facilitate the traveling of people, various car renting software is developed by software companies on the market. Through the various car renting software, a user can choose to rent the car meeting the travel requirement of the user, and the travel is finished. Meanwhile, the user can rent the idle vehicle by the vehicle renting software to obtain the income.

As mentioned above, this is a method for mutual benefits, however, most of the vehicles rented by the owners of the vehicles may have some damages, or the renters may cause damages of the vehicles to different degrees during renting the vehicles. However, when a tenant and a vehicle owner have a responsibility dispute for the damage of the vehicle, the conventional vehicle damage assessment platform has no uniform damage determination standard, and the damage assessment and the liability assessment are performed by the accident insurance condition of the vehicle in the process of renting the vehicle in many cases. If the vehicle is not in accident and still damaged in the renting process, the vehicle cannot accurately pursue the duty, so that a large amount of disputes of the vehicle renting platform users are easily caused, the working efficiency of the platform is influenced, and a large amount of losses of the users are caused.

Disclosure of Invention

The embodiment of the application provides a vehicle damage assessment method, a vehicle damage assessment device and related equipment, and the damage condition of a vehicle can be judged more reasonably and accurately, so that the vehicle damage assessment efficiency is effectively improved, and the benefits of users are guaranteed.

In one aspect, an embodiment of the present application provides a vehicle damage assessment method, including:

acquiring a first detection report of a target vehicle, wherein the first detection report comprises respective first parameter values of N to-be-detected parameters of the target vehicle before a target tenant uses the target vehicle, and N is an integer greater than or equal to 1;

acquiring a second detection report of a target vehicle, wherein the second detection report comprises second parameter values of the N to-be-detected parameters of the target vehicle after the target tenant uses the target vehicle;

and comparing the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle.

Wherein the obtaining a first detection report of the target vehicle includes:

receiving a vehicle renting request which is sent by first equipment and aims at the target vehicle, and sending first prompt information to the first equipment, wherein the first prompt information is used for indicating to submit a first detection report of the target vehicle;

receiving a first detection report of the target vehicle sent by the first device.

Wherein the obtaining a second detection report of the target vehicle includes:

receiving a vehicle returning request aiming at the target vehicle and sent by the first equipment, and sending second prompt information to the first equipment, wherein the second prompt information is used for indicating to submit a second detection report of the target vehicle;

receiving a second detection report of the target vehicle sent by the first device.

Wherein comparing the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle comprises:

respectively calculating parameter difference values corresponding to the N parameters to be detected, wherein the parameter difference values are difference values between a first parameter value and a second parameter value of the corresponding parameters to be detected;

judging the proportion of the parameter difference value exceeding the corresponding preset difference value range in the parameter difference values corresponding to the N parameters to be detected;

and if the proportion exceeds a preset proportion value, determining that the target vehicle is damaged in the process of using the target vehicle by the target tenant.

Wherein the method further comprises:

if the proportion exceeds a preset proportion value, determining the compensation amount of the target tenant according to the proportion and a preset compensation system;

and generating corresponding indemnity prompt information according to the indemnity amount, and sending the indemnity prompt information to the first equipment.

The N to-be-detected parameters comprise one or more of battery detection, appearance detection, wheel detection, brake system detection, lighting system detection, steering system detection and exhaust system detection.

In another aspect, an embodiment of the present application provides a vehicle damage assessment device, including:

the first acquisition module is used for acquiring a first detection report of a target vehicle, wherein the first detection report comprises a first detection parameter of each detection item of the target vehicle in a preset detection item set before the target tenant uses the target vehicle;

the second acquisition module is used for acquiring a second detection report of the target vehicle, wherein the second detection report comprises a second detection parameter of each detection item of the target vehicle in the preset detection item set after the target tenant uses the target vehicle;

and the first determination module is used for determining the damage condition of the target vehicle according to the first detection report and the second detection report.

Wherein, the first obtaining module comprises:

the first sending unit is used for receiving a vehicle renting request which is sent by first equipment and aims at the target vehicle, and sending first prompt information to the first equipment, wherein the first prompt information is used for indicating to submit a first detection report of the target vehicle;

a first receiving unit, configured to receive a first detection report of the target vehicle sent by the first device.

Wherein the second obtaining module includes:

a second sending unit, configured to receive a vehicle returning request sent by the first device for the target vehicle, and send second prompt information to the first device, where the second prompt information is used to instruct to submit a second detection report of the target vehicle;

a second receiving unit, configured to receive a second detection report of the target vehicle sent by the first device.

Wherein the first determining module comprises:

the calculation unit is used for calculating parameter difference values corresponding to the N parameters to be detected respectively, wherein the parameter difference values are difference values between a first parameter value and a second parameter value of the corresponding parameters to be detected;

the judging unit is used for judging the proportion of the parameter difference value exceeding the corresponding preset difference value range in the parameter difference values corresponding to the N parameters to be detected;

and the determining unit is used for determining that the target vehicle is damaged in the process of using the target vehicle by the target tenant if the proportion exceeds a preset proportion value.

Wherein the apparatus further comprises:

the second determination module is used for determining the compensation amount of the target tenant according to the proportion and a preset compensation system if the proportion exceeds a preset proportion value;

and the sending module is used for generating corresponding indemnity prompt information according to the indemnity amount and sending the indemnity prompt information to the first equipment.

Wherein, the N parameters to be detected comprise: one or more of battery detection, appearance detection, wheel detection, brake system detection, light system detection, steering system detection, and exhaust system detection.

In another aspect, an embodiment of the present application provides a server, including: a processor and a memory;

the processor is coupled to a memory, wherein the memory is configured to store program code, and the processor is configured to call the program code to perform a method as included in any one of the possible embodiments of the above aspect.

In yet another aspect, an embodiment of the present application provides a computer-readable storage medium, where one or more instructions are stored, and the one or more instructions are configured to be loaded by the processor and perform the following steps:

The embodiment of the application provides a vehicle damage assessment method, which can be used for carrying out comprehensive comparative analysis by combining a first detection report (for example, a first parameter value comprising N parameters to be detected of a vehicle) of a vehicle before being used by a tenant and a second detection report (for example, a second parameter value comprising N parameters to be detected of the vehicle) after being used by the tenant, and determining the damage condition of the vehicle according to the difference between the two detection reports. Further, the responsible party corresponding to the damaged vehicle can be determined (for example, if the second detection report indicates that the vehicle has a new damage or a more serious damage compared with the first detection report, the responsible party of the damaged vehicle can be determined as a tenant, and further, the settlement processing can be performed, etc.). Compared with the prior art that a unified and perfect method flow is not provided to judge and process the damage condition of the vehicle, and damage assessment and responsibility assessment are performed only through the accident insurance condition when the vehicle is in an accident, the embodiment of the application provides a perfect and unified standard vehicle damage assessment flow. According to the embodiment of the application, damage of the rented vehicle can be determined more reasonably and accurately, so that a responsible party of the damaged vehicle is judged, the benefit of a user is guaranteed, the dispute of the user is reduced, and the working efficiency and the reliability of the user of the vehicle renting platform are effectively improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1A is a schematic system architecture diagram of a vehicle damage assessment method according to an embodiment of the present application;

FIG. 1B is a schematic system architecture diagram of another vehicle damage assessment method according to an embodiment of the present disclosure;

FIG. 2 is a schematic flow chart of a vehicle damage assessment method according to an embodiment of the present disclosure;

FIG. 3 is a schematic flow chart diagram illustrating another vehicle damage assessment method according to an embodiment of the present disclosure;

fig. 4 is a schematic view of a car rental interface provided in an embodiment of the present application;

FIG. 5 is a schematic illustration of a first inspection report submission interface provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a second inspection report submission interface provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of an interface for indemnification information provided by an embodiment of the present application;

fig. 8 is a schematic structural diagram of a vehicle damage assessment device according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

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 only a part of the embodiments of the present application, and not all of the embodiments. 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.

Referring to fig. 1A, fig. 1A is a schematic diagram of a system architecture of a vehicle damage assessment method according to an embodiment of the present disclosure, and the technical solution of the embodiment of the present disclosure may be embodied in the system architecture illustrated in fig. 1A or a similar system architecture. As shown in fig. 1A, the system architecture may include a server 100a and a plurality of terminal devices, specifically, terminal devices 200a, 200b, 200c, and 200 d. Each terminal device may run a client related to the rental of the vehicle, wherein the terminal devices 200a, 200b, 200c, and 200d may correspond to user 1, user 2, user 3, and user 4, respectively. Each user can perform operations such as registration, login and the like through the terminal device, and can issue rental information of the vehicle through the terminal device or select a vehicle meeting the own requirement through the terminal device (for example, as shown in fig. 1, the user 1 can select a rental vehicle 300 through the terminal device 200 a), and perform a series of operations such as ordering and payment of a rental fee, a deposit and the like. Taking the user 1, the terminal device 200a and the vehicle 300 as an example, before the user 1 gets the vehicle, as shown in fig. 1A, the user 1 first needs to upload a first detection report (for example, a first parameter value of a parameter to be detected, which may include various aspects of a lighting system, wheels, a braking system, an exhaust system, a directional control system, and the like of the vehicle 300 before the vehicle 300 is used) of the vehicle 300 to the server 100a through the terminal device 200 a. The server 100a may store and uplink the first detection report after receiving the first detection report (uplink may ensure that data such as the first detection report is not tampered with, and ensure data security), and then the user 1 may pick up the car for use. As shown in fig. 1B, fig. 1B is a schematic system architecture diagram of another vehicle damage assessment method according to an embodiment of the present disclosure. As shown in fig. 1B, when the user 1 wants to return the vehicle 300 after the rental period expires, it is also necessary to upload the second detection report of the vehicle 300 to the server 100a through the terminal device 200a (for example, the second parameter values of the parameters to be detected may include various aspects of the lighting system, the wheels, the brake system, the exhaust system, the directional control system, and the like of the vehicle 300 after being used). The server 100a may save and uplink the second detection report after receiving the second detection report, and then the user 1 may perform a car return operation. If the owner of the vehicle finds that the vehicle is damaged, the owner can report the damaged vehicle to the server 100a through the terminal device, and at this time, the server 100a can perform neutralization comparison analysis according to the first detection report and the second detection report to determine the difference of each detection parameter, so as to judge the damaged condition of the vehicle and the responsible party corresponding to the damaged condition. For example, the corresponding second parameter value of the same one or more detection parameters of the vehicle in the second detection report is different from the corresponding first parameter value in the first detection report, and the difference indicates that the vehicle state is reduced and the vehicle is damaged. It may be determined that the tenant caused damage to the vehicle during use of the vehicle. Thereby, the server 100a and the terminal apparatuses 200a, 200b, 200c, and 200d complete services such as rental and damage of the vehicle. Wherein the server 100a determines the damage condition of the vehicle during the use by the tenant by comparing and analyzing the first detection report before the use of the vehicle and the second detection report after the use uploaded by the terminal devices 200a, 200b, 200c, and 200 d. If the vehicle is determined to be damaged during the use period of the tenant, all or part of the deposit paid by the tenant in advance can be deducted according to the damage condition and the related preset settlement system. The damage assessment and responsibility assessment are carried out on the taxi more reasonably and accurately, disputes of users are reduced, benefits of the users are guaranteed, and therefore working efficiency and user reliability of the vehicle damage assessment platform are effectively improved.

As described above, the terminal devices 200a, 200b, 200c, and 200d may be smart phones, smart wearable devices, tablet computers, laptop computers, desktop computers, and the like having the above-described functions. The server 100a may be a terminal device with the above functions, such as a smart phone, a smart wearable device, a tablet computer, a laptop computer, a desktop computer, and the like. The server 100a may also be a server having the above functions, and the server may be one server, a server cluster composed of multiple servers, or a cloud computing service center, and may provide background services for the terminal devices 200a, 200b, 200c, and 200 d. The server 100a may establish communication connection with the terminal apparatuses 200a, 200b, 200c, and 200d through a wireless network, a wired network, and the like.

Referring to fig. 2, fig. 2 is a schematic flow chart of a vehicle damage assessment method according to an embodiment of the present disclosure. As shown in fig. 2, the method may be applied to the system architecture shown in fig. 1A or fig. 1B, where the server may be the server 100a in the system architecture shown in fig. 1A or fig. 1B, and the terminal device may be any one of the terminal devices 200a, 200B, 200c, and 200d in the system architecture shown in fig. 1A or fig. 1B, and may be configured to support and execute the method flow shown in fig. 2. As will be described below with reference to fig. 2 from the server side, the vehicle damage assessment method may include the following steps S201 to S203:

in step S201, a first detection report of the target vehicle is acquired.

Specifically, the server receives a first detection report for a target vehicle uploaded by the terminal device, where the first detection report may include first parameter values of N to-be-detected parameters of the target vehicle before a target tenant corresponding to the terminal device uses the target vehicle, where N is an integer greater than or equal to 1. Optionally, the first detection report may further include a detection result analysis for each detection parameter or a part of the detection parameters, and may further include an evaluation analysis for the overall vehicle condition of the target vehicle, and the like, which is not specifically limited in this embodiment of the present application. For example, the first parameter values of the light intensity parameters of the left lamp and the right lamp in the detection of the light system of the vehicle may be specifically included, and the first parameter values of the respective detection parameters involved in the detection of the wheel detection, the detection of the braking system, the detection of the exhaust system, the detection of the directional control system, and the like of the vehicle may also be included, which is not specifically limited in the embodiment of the present application. The first detection report reflects the vehicle condition of the target vehicle before being used by the target tenant, and comprises various aspects of performance, whether the target vehicle is damaged, how much the target vehicle is damaged, and the like before being used, and is an important reference for subsequently judging whether the target vehicle is damaged during being used by the target tenant.

In step S202, a second detection report of the target vehicle is acquired.

Specifically, the server receives a second detection report for the target vehicle uploaded by the terminal device, where the second detection report may include second parameter values of N to-be-detected parameters that are the same as the target vehicle after the target tenant uses the target vehicle, where N is an integer greater than or equal to 1. It will be appreciated that, in general, the test parameters (or test items) of the two test reports should be consistent in order to make the comparison between the values of the parameters in the first test report and the second test report more meaningful and persuasive. However, due to the fact that the detection locations may be different (for example, different vehicle inspection facilities), the time is different, and the like, the detection parameters of the two detection reports may be different, and this is not particularly limited in the embodiment of the present application. The second detection report reflects the vehicle condition of the target vehicle after being used by the target tenant, and includes the performance of the target vehicle after being used, whether the target vehicle is damaged, how damaged, and the like, and is an important reference for subsequently judging whether the target vehicle is damaged during being used by the target tenant.

Step S203, comparing the difference between the first detection report and the second detection report, and determining the damage condition of the target vehicle.

Specifically, the server compares the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle. Alternatively, the server may specifically compare the difference between the first parameter value and the second parameter value of each detected parameter to determine whether the target vehicle is damaged during use by the target tenant. For example, a first parameter value (that is, the light intensity values of the left and right lamps before the vehicle is used) and a second parameter value (that is, the light intensity values of the left and right lamps after the vehicle is used) of the light intensity parameters of the left and right lamps may be compared, and if the second parameter value is significantly smaller than the first parameter value, a large difference exists between the first parameter value and the second parameter value, which may also indicate that the light intensity of the left and right lamps after the vehicle is used is significantly weaker than the light intensity of the left and right lamps before the vehicle is used. It can be determined that the target tenant has caused damage to the vehicle lights during use of the vehicle, and so on. Therefore, by comparing the difference between the first detection report and the second detection report, whether the hired vehicle is damaged after the hired vehicle is used or not can be determined more accurately and reasonably, and a complete and efficient vehicle damage assessment process is established.

Referring to fig. 3, fig. 3 is a schematic flow chart of another vehicle damage assessment method according to an embodiment of the present application. As shown in fig. 3, the method may be applied to the system architecture shown in fig. 1A or fig. 1B, where the server may be the server 100a in the system architecture shown in fig. 1A or fig. 1B, and the terminal device may be any one of the terminal devices 200a, 200B, 200c, and 200d in the system architecture shown in fig. 1A or fig. 1B, and may be configured to support and execute the method flow shown in fig. 3. As will be described below with reference to fig. 3 from the interactive side of the server and the terminal device, the vehicle damage assessment method may include the following steps S301 to S305:

step S301, the terminal device sends a first detection report of a target vehicle to a server; the server receives the first detection report.

Specifically, the terminal device sends a first detection report of the target vehicle to the server, and the server receives the first detection report. The server may also store and uplink the first detection report. Optionally, step S301 may refer to step S201 in the embodiment of fig. 2, which is not described herein again.

Optionally, before the terminal device sends the first detection report of the target vehicle to the server, the target tenant may further select the target vehicle through the terminal device, and perform a series of operations such as ordering, reserving and paying a relevant deposit. For example, please refer to fig. 4, fig. 4 is a schematic diagram of a car rental interface provided in the present application in real time. As shown in fig. 4, the vehicle renting view may include renting information of each of a plurality of vehicles to be rented, where the renting information may specifically include information such as owner information, model number of the vehicle, driving mileage of the vehicle, driving duration, rent and deposit of the vehicle, and will not be described herein again. The renting information can be information uploaded to the server by a vehicle owner through the terminal equipment at a related vehicle renting client, the server or background staff of the vehicle renting client can check the renting information, and the renting information can be issued to the client for a tenant to select after the check is passed. A tenant (e.g., a target tenant in the present application) may check out a target vehicle (e.g., vehicle 2 shown in fig. 4) that the tenant wants to rent by clicking on the relevant area in the interface, and send a rental vehicle request (i.e., book the vehicle for ordering, for example) to the server by clicking on the "rental vehicle" control shown in fig. 4, and pay a deposit and a subscription, etc. accordingly. Optionally, the owner of the target vehicle may receive the prompt information related to the vehicle renting request and the corresponding deposit, and the like through the terminal device, which is not described herein again.

Referring to fig. 5, fig. 5 is a schematic view of a first inspection report submission interface according to an embodiment of the present disclosure. As shown in fig. 5, after the server receives a car rental request for a target vehicle sent by a terminal device (for example, a first device corresponding to a target tenant in the present application), the server may send first prompt information to the terminal device. The first prompt message may be as shown in fig. 5, and is used to instruct the target vehicle to submit the first detection report, and the target tenant may take the vehicle for use only after submitting the first detection report. Optionally, the first detection report may be a first detection report obtained after the target tenant waits for a specified detection parameter (or detection item) to be detected at a specified vehicle detection location according to a prompt or a requirement before using the target vehicle. Optionally, the first detection report may also be a first detection report obtained after the owner waits for the specified vehicle detection location to perform the specified detection parameter (or detection item) detection on the target vehicle according to a prompt or a request. That is, the first detection report may be submitted before the tenant picks up the car, may also be submitted by the car owner when the car owner issues the rental information of the target car, and may also be submitted by the car owner after the car owner receives the related prompt information of the car rental request of the target tenant through the terminal device. After receiving the first detection report, the server may send related prompt information to the terminal device, indicating that the target tenant may take the car for use. As shown in fig. 5, the first detection report may specifically include respective first parameter values of the light intensity parameters of the left and right lamps of the target vehicle in the detection of the light system; first parameter values of maximum rotation angle parameters of an outer wheel and an inner wheel of a left tire and a right tire of a front wheel of a target vehicle in wheel detection; a first parameter value for a horn sound level of the target vehicle; the first parameter values of the axle weight parameter and the retardation parameter of the front and rear axles of the vehicle, etc. detected by the target vehicle in the braking system are not described herein again.

Step S302, the terminal device sends a second detection report of the target vehicle to the server; the server receives the second detection report.

Specifically, the terminal device sends a second detection report of the target vehicle to the server; the server receives the second detection report. The server may also store and uplink the first detection report. Step S302 may refer to step S202 in the embodiment of fig. 2, which is not described herein again.

Optionally, please refer to fig. 6, where fig. 6 is a schematic diagram of a second inspection report submission interface provided in the embodiment of the present application. Optionally, when the rental term is reached and the target tenant wants to return, the target tenant may send a car return request for the target vehicle to the server through the terminal device. After receiving the car-returning request, the server may send second prompt information to the terminal device, where the second prompt information may be as shown in fig. 6, and is used to instruct to submit a second detection report of the target car, and only after the second detection report is submitted, the target tenant may return the car. Optionally, the second detection report may be obtained after the target tenant uses the target vehicle and detects the specified detection parameters (or detection items) of the target vehicle at the same specified vehicle detection location as the first detection report according to a prompt or a request. It is understood that, in an actual situation, there may be a certain difference between the detection location and the detection parameter of the first detection report and the detection location and the detection parameter of the second detection report, and this is not particularly limited in the embodiment of the present application.

After receiving the second detection report, the server may send related prompt information to the terminal device to indicate that the target tenant may return the car. As shown in fig. 6, the second detection report may specifically include respective second parameter values of the light intensity parameters of the left and right lamps of the target vehicle in the detection of the lighting system; second parameter values of maximum rotation angle parameters of an outer wheel and an inner wheel of a left tire and a right tire of a front wheel of the target vehicle in wheel detection; a second parameter value for the horn sound level of the target vehicle; and second parameter values of the axle weight parameter and the retardation force parameter of the front axle and the rear axle of the vehicle, and the like, of the target vehicle in the detection of the braking system are not described in detail herein.

In step S303, the server compares the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle.

Specifically, step S303 may refer to step S203 in the embodiment of fig. 2, which is not described herein again.

Optionally, after the target tenant returns the target vehicle, if the owner finds that the target vehicle is damaged, the owner may report the condition to the server through the terminal device. After receiving the report request, the server may calculate, according to the first detection report and the second detection report, parameter difference values corresponding to the N parameters to be detected, respectively, where the parameter difference value is a difference value between a first parameter value and a second parameter value of the corresponding parameter to be detected. For example, if the first parameter value of the left lamp light intensity parameter in the first detection report is 45.5kcd, and the second parameter value of the left lamp light intensity parameter in the second detection report is 38.5kcd, the parameter difference value of the left lamp light intensity parameter is 7 kcd. For another example, if the first parameter value of the front axle retardation parameter in the brake system detection in the first detection report is 3%, and the second parameter value of the front axle retardation parameter in the brake system detection in the second detection report is 2%, the parameter difference value of the front axle retardation parameter is 1%, and so on, which will not be described herein again. Secondly, the server can judge the proportion of the parameter difference value exceeding the corresponding preset difference value range in the parameter difference values corresponding to the N parameters to be detected. And if the proportion exceeds a preset proportion value, determining that the target vehicle is damaged by the target tenant in the process of using the target vehicle. For example, the preset difference value range of the front axle retardation parameter is 0-0.5%, and obviously, the parameter difference value of 1% exceeds the preset difference value range of 0-0.5%, so that the target tenant can be considered to cause the corresponding degree of wear of the brake disc of the target vehicle in the process of using the target vehicle. For another example, the preset difference value range of the horn sound levels of the vehicle is 0-5db, the first parameter value of the horn sound levels of the vehicle is 99.8db, the second parameter value of the horn sound levels of the vehicle is 98.5db, and the difference value of the parameters of the horn sound levels of the vehicle and the second parameter value of the horn sound levels of the vehicle is 1.3db, which obviously does not exceed the preset difference value range of 0-5 db. For example, the preset difference value range of the light intensity parameter is 0-5kcd, and obviously, the above-mentioned parameter difference value of 7kcd exceeds the preset difference value range of 0-5kcd, and so on, which are not described herein again. Therefore, if the number of the parameter difference values exceeding the preset difference value range is calculated to be large, and even the occupied proportion of the parameter difference values exceeds the preset proportion value (for example, one fifth, namely if there are ten parameters to be detected, and the parameter difference values of three or more parameters to be detected exceed the corresponding preset difference value range), it can be determined that the target vehicle is damaged in the process of using the target vehicle by the target tenant. In addition, the server can specifically determine the damaged part, the damaged degree and the like of the target vehicle in the using process according to the parameter difference values corresponding to different parameters to be detected respectively and the proportion of the parameter difference values exceeding the preset difference value range. Optionally, after the server performs automatic calculation and determines the damaged condition of the target vehicle and the responsible person, the staff of the vehicle rental client may perform manual review on the result, so as to ensure accuracy of damage assessment and responsibility assessment on the target vehicle.

And step S304, the server determines the compensation amount of the target tenant according to the damage condition of the target vehicle and a preset compensation system.

Specifically, after the server determines that the target vehicle is damaged in the process of using the target vehicle by the target tenant, the server may determine the compensation amount of the target tenant according to the damage condition of the target vehicle and a preset compensation system. Optionally, the compensation amount of the target tenant can be determined according to the proportion of the parameter difference values exceeding the corresponding preset difference value range in the parameter difference values corresponding to the N parameters to be detected and a preset compensation system. For example, if the proportion is one third and the predetermined proportion is one fifth, it is obvious that the target vehicle is damaged in more aspects, and the whole deposit paid by the target tenant in advance can be deducted according to the predetermined compensation system. For another example, if the occupied proportion is one fourth and the preset proportion value is one fifth, the target tenant may deduct a half of the deposit paid in advance according to a preset compensation system, which is not specifically limited in the embodiment of the present application.

In step S305, the server transmits indemnity prompt information to the terminal device.

Specifically, after the server determines that the target vehicle is damaged in the process of being used by the target tenant, and determines the relevant compensation amount and the like corresponding to the damage, the vehicle damage assessment service may send compensation prompt information to the terminal device corresponding to the target tenant, and the terminal device receives the compensation prompt information.

Optionally, please refer to fig. 7, and fig. 7 is a schematic interface diagram of indemnity information provided in the embodiment of the present application. As shown in fig. 7, the interface may include basic information of the target vehicle and specific content of the reimbursement information, such as the total deposit to be paid for deducting the target tenant shown in fig. 7, and the like. Optionally, as shown in fig. 7, the target tenant may also determine the damage condition of the vehicle by clicking controls "view first detection report" and "view second detection report" in the interface to respectively view the first detection report and the second detection report. If the target tenant has a question about the compensation amount, the user can also contact the owner for negotiation by clicking the 'contact owner' control in the interface, and the like, which is not described in detail herein,

The embodiment of the application provides a vehicle damage assessment method, which can be used for carrying out comprehensive comparative analysis by combining a first detection report (for example, a first parameter value comprising N parameters to be detected of a vehicle) of a vehicle before being used by a tenant and a second detection report (for example, a second parameter value comprising N parameters to be detected of the vehicle) after being used by the tenant, and determining the damage condition of the vehicle according to the difference between the two detection reports. Further, the responsible party corresponding to the damaged vehicle can be determined (for example, if the second detection report indicates that the vehicle has a new damage or a more serious damage compared with the first detection report, the responsible party of the damaged vehicle can be determined as a tenant, and further, the settlement processing can be performed, etc.). Compared with the prior art that a unified and perfect method flow is not provided to judge and process the damage condition of the vehicle, and damage assessment and responsibility assessment are performed only through the accident insurance condition when the vehicle is in an accident, the embodiment of the application provides a perfect and unified standard vehicle damage assessment flow. By the embodiment of the application, damage assessment can be carried out on the taxi more reasonably and accurately, so that a responsible party of the damaged taxi can be judged, the benefit of a user is guaranteed, disputes of the user are reduced, and therefore the working efficiency and the reliability of the user of the vehicle damage assessment platform are effectively improved.

Based on the description of the embodiment of the vehicle damage assessment method, the embodiment of the present application further discloses a vehicle damage assessment device, which may be a computer program (including program code) running in a server. Referring to fig. 8, fig. 8 is a schematic structural diagram of a vehicle damage assessment device according to an embodiment of the present application, and as shown in fig. 8, the vehicle damage assessment device includes a device 1, where the device 1 may execute the method shown in fig. 2 or fig. 3, and the vehicle damage assessment device may include: a first obtaining module 11, a second obtaining module 12, and a first determining module 13:

a first obtaining module 11, configured to obtain a first detection report of a target vehicle, where the first detection report includes a first detection parameter of each detection item of a preset detection item set of the target vehicle before the target tenant uses the target vehicle;

a second obtaining module 12, configured to obtain a second detection report of the target vehicle, where the second detection report includes a second detection parameter of each detection item of the target vehicle in the preset detection item set after the target tenant uses the target vehicle;

and a first determining module 13, configured to determine a damage condition of the target vehicle according to the first detection report and the second detection report.

The specific functional implementation manners of the first obtaining module 11, the second obtaining module 12, and the first determining module 13 may refer to steps S201 to S203 in the embodiment corresponding to fig. 2. For specific functional implementation manners of the first obtaining module 11, the second obtaining module 12, and the first determining module 13, reference may also be made to steps S301 to S303 in the embodiment corresponding to fig. 3, which is not described herein again.

Referring to fig. 8, the first obtaining module 12 may include: first transmitting section 111 and first receiving section 112:

a first sending unit 111, configured to receive a vehicle renting request sent by a first device for the target vehicle, and send first prompt information to the first device, where the first prompt information is used to instruct to submit a first detection report of the target vehicle;

a first receiving unit 112, configured to receive the first detection report of the target vehicle sent by the first device.

For specific functional implementation manners of the first sending unit 111 and the first receiving unit 112, refer to step S201 in the embodiment corresponding to fig. 2. The specific functional implementation manners of the first sending unit 111 and the first receiving unit 112 may also refer to step S301 in the embodiment corresponding to fig. 3, which is not described herein again.

Referring to fig. 8, the second obtaining module 12 may include: second transmitting section 121 and second receiving section 122:

a second sending unit 121, configured to receive a vehicle returning request sent by the first device for the target vehicle, and send second prompt information to the first device, where the second prompt information is used to instruct to submit a second detection report of the target vehicle;

a second receiving unit 122, configured to receive a second detection report of the target vehicle sent by the first device.

For specific functional implementation manners of the second sending unit 121 and the second receiving unit 122, refer to step S202 in the embodiment corresponding to fig. 2. The specific functional implementation manners of the first sending unit 121 and the first receiving unit 122 can also refer to step S302 in the embodiment corresponding to fig. 3, which is not described herein again.

Referring to fig. 8, the first determining module 13 may include: calculation unit 131, determination unit 132, determination unit 133:

the calculation unit 131 is configured to calculate parameter difference values corresponding to the N parameters to be detected, where the parameter difference value is a difference value between a first parameter value and a second parameter value of the corresponding parameter to be detected;

the determining unit 132 is configured to determine a ratio of a parameter difference value exceeding a preset difference value range among the parameter difference values corresponding to the N parameters to be detected;

a determining unit 133, configured to determine that the target tenant has damaged the target vehicle during using the target vehicle if the ratio exceeds a preset ratio value.

The specific functional implementation manners of the calculating unit 131, the judging unit 132, and the determining unit 133 may refer to step S203 in the embodiment corresponding to fig. 2. The specific functional implementation manners of the calculating unit 131, the judging unit 132, and the determining unit 133 may refer to step S303 in the embodiment corresponding to fig. 3, which is not described herein again.

Referring to fig. 8, the apparatus further includes: second determination module 14, sending module 15:

the second determination module 14 is used for determining the compensation amount of the target tenant according to the proportion and a preset compensation system if the proportion exceeds a preset proportion value;

the sending module 15 is configured to generate corresponding indemnity prompt information according to the indemnity amount, and send the indemnity prompt information to the first device.

The specific functional implementation manners of the second determining module 14 and the sending module 15 may refer to steps S304-S305 in the embodiment corresponding to fig. 3, which is not described herein again.

According to the embodiment provided by the present application, each unit in the vehicle damage assessment apparatus shown in fig. 8 may be respectively or entirely combined into one or several other units to form the apparatus, or some unit(s) may be further split into multiple units with smaller functions to form the apparatus, which may achieve the same operation without affecting the achievement of the technical effect of the embodiment of the present application. The units are divided based on logic functions, and in practical application, the functions of one unit can be realized by a plurality of units, or the functions of a plurality of units can be realized by one unit. In other embodiments of the present application, the vehicle damage assessment device may also include other units, and in practical applications, these functions may also be implemented by the assistance of other units, and may be implemented by cooperation of a plurality of units.

According to the embodiments provided herein, the vehicle damage assessment apparatus shown in fig. 8 may be constructed by running a computer program (including program codes) capable of executing the steps involved in the respective methods shown in fig. 2 or fig. 3 on a general-purpose computing device such as a computer including a processing element such as a Central Processing Unit (CPU), a random access storage medium (RAM), a read-only storage medium (ROM), and a storage element, and implementing the vehicle damage assessment method of the embodiments of the present application. The computer program may be, for example, recorded on a computer-readable storage medium, and loaded and executed in the server described above via the computer-readable storage medium.

Based on the description of the method embodiment and the device embodiment, the embodiment of the application further provides a server. Referring to fig. 9, fig. 9 is a schematic structural diagram of a server according to an embodiment of the present disclosure. As shown in fig. 9, the server includes at least a processor 101, an input device 102, an output device 103, and a computer storage medium 104. The processor 101, the input device 102, the output device 103, and the computer-readable storage medium 104 within the server may be connected by a bus or other means.

A computer readable storage medium 104 may be stored in the memory of the server, said computer readable storage medium 104 being for storing a computer program comprising program instructions, said processor 101 being for executing the program instructions stored by said computer readable storage medium 104. The processor 101 (or CPU) is a computing core and a control core of the control device, and is adapted to implement one or more instructions, and specifically, adapted to load and execute one or more instructions to implement corresponding method flows or corresponding functions; in one embodiment, the processor 101 according to the embodiment of the present application may be used for performing a series of processes of vehicle air conditioning control, including: acquiring a first detection report of a target vehicle, wherein the first detection report comprises respective first parameter values of N to-be-detected parameters of the target vehicle before a target tenant uses the target vehicle, and N is an integer greater than or equal to 1; acquiring a second detection report of a target vehicle, wherein the second detection report comprises second parameter values of the N to-be-detected parameters of the target vehicle after the target tenant uses the target vehicle; comparing the difference between the first detection report and the second detection report, determining a damage condition of the target vehicle, and the like.

Embodiments of the present application further provide a computer-readable storage medium (Memory), which is a Memory device in a server and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the server, and may also include an extended storage medium supported by the server. The computer readable storage medium provides a storage space that stores an operating system of the server. Also stored in this memory space are one or more instructions, which may be one or more computer programs (including program code), suitable for loading and execution by processor 101. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory; and optionally at least one computer storage medium located remotely from the processor.

In one embodiment, one or more instructions stored in a computer-readable storage medium may be loaded and executed by processor 101 to perform the corresponding steps of the method described above in connection with the damage-assessment embodiment of the vehicle; in particular implementations, one or more instructions in the computer-readable storage medium may be loaded and specifically executed by processor 101 to:

In yet another embodiment, in obtaining the first detection report of the target vehicle, the one or more instructions may be loaded and specifically executed by the processor 101:

In yet another embodiment, in obtaining the second detection report of the target vehicle, the one or more instructions may be loaded and specifically executed by the processor 101:

In yet another embodiment, in the comparing the difference between the first detection report and the second detection report to determine the damage condition of the target vehicle, the one or more instructions may be loaded and specifically executed by processor 101:

In yet another embodiment, the one or more instructions may be further loaded and specifically executed by processor 101:

In yet another embodiment, the N parameters to be detected include one or more of battery detection, appearance detection, wheel detection, brake system detection, light system detection, steering system detection, and exhaust system detection.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A method of vehicle damage assessment, comprising:

2. The method of claim 1, wherein said obtaining a first detection report of a target vehicle comprises:

3. The method of claim 1, wherein said obtaining a second detection report of a target vehicle comprises:

4. The method of claim 1, wherein said comparing the difference of the first detection report and the second detection report to determine the damage condition of the target vehicle comprises:

5. The method of claim 4, further comprising:

6. The method of claim 1, wherein the N parameters to be detected include one or more of battery detection, appearance detection, wheel detection, brake system detection, light system detection, steering system detection, and exhaust system detection.

7. A vehicle damage assessment device, comprising:

and the determining module is used for determining the damage condition of the target vehicle according to the first detection report and the second detection report.

8. The apparatus of claim 7, further comprising:

the calculation module is used for calculating parameter difference values corresponding to the N parameters to be detected respectively, wherein the parameter difference values are difference values between a first parameter value and a second parameter value of the corresponding parameters to be detected;

the judging module is used for judging the proportion of the parameter difference value exceeding the corresponding preset difference value range in the parameter difference values corresponding to the N parameters to be detected;

and the determining module is used for determining that the target vehicle is damaged in the process of using the target vehicle by the target tenant if the proportion exceeds a preset proportion value.

9. A server, comprising: a processor and a memory;

the processor is coupled to a memory, wherein the memory is configured to store program code and the processor is configured to invoke the program code to perform the method of any of claims 1-6.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the method according to any one of claims 1-6.