CN106056451A - Vehicle OBD sensor-based remote unmanned loss assessment system - Google Patents
Vehicle OBD sensor-based remote unmanned loss assessment system Download PDFInfo
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- CN106056451A CN106056451A CN201610364313.4A CN201610364313A CN106056451A CN 106056451 A CN106056451 A CN 106056451A CN 201610364313 A CN201610364313 A CN 201610364313A CN 106056451 A CN106056451 A CN 106056451A
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Abstract
The invention relates to a vehicle OBD sensor-based remote unmanned loss assessment system. The vehicle OBD sensor-based remote unmanned loss assessment system includes an accident prediction module, a sensor, a cloud platform, a mobile phone APP, a reverse vehicle model, a collision construction simulation model, a collision simulation analysis module, a remote loss assessment model, a loss assessment list, a collision test module, a system database and a loss assessment database; the sensor carries out data exchange with the accident prediction module and the cloud platform; the cloud platform carries out data exchange with the remote loss assessment model and the mobile phone APP; the collision construction simulation model carries out data exchange with the reverse vehicle model, the collision simulation analysis module and the collision test module; the collision simulation analysis module carries out data exchange with the remote loss assessment model and the system database; and the remote loss assessment model carries out data exchange with the loss assessment list. The system has the advantages of high precision, high loss assessment efficiency and uniform loss assessment standards. With the system adopted, loss assessment costs can be greatly decreased, and the satisfaction of customers is high.
Description
Technical field
The present invention relates to long-range unmanned setting loss field, a kind of long-range unmanned setting loss based on vehicle OBD sensor
System.
Background technology
The recoverable amount of automobile is gradually increasing every year at present, and the constantly planning of road traffic makes the travel speed of vehicle have
Being promoted, the incidence rate of vehicle accident is also increasing, and the Claims Resolution flow process main after colliding again of automobile is: be in danger--reporting a case to the security authorities--
Survey that----verifying prices,--core damage--core compensation--pays, and wherein setting loss is that the professional sent according to insurance company is to scene in setting loss
After reconnoitring, carry out on-the-spot preliminary setting loss according to the position vestige of loss and degree, or directly arrive repair shop, 4S shop,
Setting loss is gone at setting loss center.This not only consumes substantial amounts of manpower and materials, and wants the specialty of setting loss person during setting loss
Asking higher, can not avoid having some automotive interior parts during setting loss completely cannot judge.
After colliding due to vehicle, vehicle self can produce various deformation and damage, but only enters by rule of thumb by setting loss person
Act therefore car damage identification, there is a lot of subjectivitys and the probability of associating insurance fraud.Additionally, tradition setting loss is for accident vehicle setting loss
Accuracy need to carry out vehicle and disassemble, this also adds additional the expense of settlement of insurance claim.At present, market has based on vehicle thing
Therefore the loss assessment system taken pictures, but there is forgery and shoot the problems such as unclear in image.
Summary of the invention
In order to solve the problems referred to above that prior art exists, it is provided that a kind of based on vehicle OBD sensor the most unmanned
Loss assessment system, on the one hand solves setting loss person and carries out the subjectivity of setting loss and reduce the probability of associating insurance fraud；On the other hand can keep away
Exempt from the expense of disassembling of accident vehicle, thus be greatly promoted and protecting satisfaction and the standardization of accident insurance Claims Resolution of client, can be big
The big probability solving insurance fraud.
For achieving the above object, the technical scheme is that long-range unmanned setting loss system based on vehicle OBD sensor
System, including: accident anticipation module, sensor, cloud platform, mobile phone A PP, reverse auto model, set up collision simulation model, collision
Simulation analysis module, long-range setting loss model, setting loss list, impact test module, system database and setting loss data base；Described sensing
It is mutual that device carries out data stream respectively with accident anticipation module, cloud platform, described cloud platform also with long-range setting loss model, mobile phone A PP
Carry out data stream mutual, set up collision simulation model and analyze module, impact test mould with reverse auto model, collision simulation respectively
It is mutual that block carries out data stream, and collision simulation is analyzed module and also carried out data stream with long-range setting loss model, system database alternately, far
It is mutual that journey setting loss model also carries out data stream with setting loss list, setting loss data base respectively with system database, long-range setting loss model and
It is mutual that setting loss list carries out data stream.
Concrete, described sensor is onboard sensor equipment, carries out transmission and the collection of data, it is thus achieved that when accident occurs
Vehicle 3-axis acceleration, three axis angular rates, accident vehicle speed, time of casualty, accident spot, accident voice data and thing
Therefore view data.
Concrete, reverse auto model, disassemble including vehicle, vehicle scan, the information such as reverse auto model welding.
Concrete, set up collision simulation model, including automatically clearing up model module, automatic grid division module, automatically belonging to
Property sets up module, AutoLink sets up module, automatically contact definition module, automatic material definition module.
Concrete, collision simulation analyzes module, including collision thing module, impact velocity module, impact environment module, solves
Algorithms selection module, task submit module, automatic calculation module, emulation data processing module, automatic setting loss module to.
More specifically, long-range setting loss model, including data categorization module, data processing module, filtration module, feature extraction
Module, intelligent algorithm module, collision detection module, industrial and mineral judge module, impairment scale judge module.
More specifically, setting loss list, including part price storehouse, maintenance man-hours storehouse, maintenance program storehouse and Claims Resolution scheme base.
More specifically, impact test module, including vehicle refitting, collision thing processing installation, autopilot facility, collision examination
Test data acquisition, sport car data acquisition.
As more specifically, system database, including vehicle CAD design model library, vehicle CAE simulation model library, collision
Object model storehouse, emulation industrial and mineral storehouse, simulation result storehouse, emulation data process storehouse, emulation setting loss storehouse, simulated environment storehouse, setting loss
Data base, including long-range setting loss model training, all data test, verified, the feature including data classification, extracted, accident
The setting loss data such as setting loss rank.
As more specifically, long-range setting loss model is based on SVM, random forest, neutral net etc. without supervision, half prison
Superintend and direct, supervise artificial intellectual learning method, carry out the training of long-range setting loss model, survey by the big data of the collision simulation of accident reproduction
Examination, check.
Due to the fact that the above technical method of employing, it is possible to obtain following technique effect: on the one hand solve setting loss person
Carry out the subjectivity of setting loss and reduce the probability of associating insurance fraud；On the other hand the expense of disassembling of accident vehicle can be avoided, thus greatly
It is lifted at greatly satisfaction and the standardization of accident insurance Claims Resolution protecting client, can significantly solve the probability of insurance fraud.
Native system setting loss precision is high, the most comprehensively, setting loss efficiency is high, make setting loss disbursement be substantially reduced, setting loss standard
Unified, CSAT height.
Accompanying drawing explanation
The present invention has accompanying drawing 1 width:
Fig. 1 is long-range unmanned loss assessment system based on vehicle OBD sensor.
Detailed description of the invention
For making the purpose of embodiments of the invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is carried out the most complete description:
Embodiment 1
Long-range unmanned loss assessment system based on vehicle OBD sensor, including:
Accident anticipation module, judges doubtful accident, determines whether vehicle crashes.
Sensor, for 195D sensor, carries out transmission and the collection of data, it is thus achieved that accident occur time vehicle three axles add
Speed, three axis angular rates, accident vehicle speed, time of casualty, accident spot, accident voice data and accident image data.One
Aspect can carry out automatic setting loss by the long-range setting loss model of cloud platform；On the other hand collected data can be the completeest
Kind long-range setting loss model.
The accident information that cloud platform, collision information sensor transmissions come and the transmission of mobile phone A PP come combines, and is transferred to
Remotely setting loss model.
Mobile phone A PP, is reported a case to the security authorities by mobile phone A PP.
Reverse auto model, disassembles including vehicle, vehicle scan, the information such as reverse auto model welding.
Setting up collision simulation model, including automatically clearing up model module, automatic grid division module, automatic attribute set up mould
Block, AutoLink are set up module, are automatically contacted definition module, automatic material definition module.
Collision simulation analyzes module, including collision thing module, impact velocity module, impact environment module, derivation algorithm choosing
Select module, task submission module, automatic calculation module, emulation data processing module, automatic setting loss module.
Remotely setting loss model, including data categorization module, data processing module, filtration module, characteristic extracting module, artificial
Intelligent algorithm module, collision detection module, industrial and mineral judge module, impairment scale judge module.Remotely setting loss model be based on
SVM, random forest, neutral net etc. without supervision, semi-supervised, supervise artificial intellectual learning method, touching by accident reproduction
Hit and emulate big data and carry out the training of long-range setting loss model, test, check.
Setting loss list, including part price storehouse, maintenance man-hours storehouse, maintenance program storehouse and Claims Resolution scheme base.
Impact test module, including vehicle refitting, collision thing processing installation, autopilot facility, impact test data acquisition
Collection, sport car data acquisition.
System database, including vehicle CAD design model library, vehicle CAE simulation model library, collision object model storehouse, emulation
Industrial and mineral storehouse, simulation result storehouse, emulation data process storehouse, emulation setting loss storehouse, simulated environment storehouse.This data base is based on emulation
Carry out lot of accident Sample Establishing to obtain, because having only to carry out OBD data for the accident of each vehicle just may know that car
Damage and the setting loss of car load；
Setting loss data base, long-range setting loss model training, all data test, verified, including data classification, the spy of extraction
Levy, the setting loss data such as the setting loss rank of accident.
Embodiment 2
In order to realize setting loss procedure, standardization, set up the application middleware towards insurance company, in encapsulation network environment
Various resources, and to integrated platform provide interface, use setting loss Web service form encapsulation setting loss application middleware, pass through
Setting loss workflow composing each single functional realiey and service；Setting loss job stream of network realizes based on setting loss Web service
Information sharing and application integrated, on final setting loss integrated platform, setting loss service is provided in a transparent manner, comprises Claims Resolution side
Case and maintenance analysis service, and allow insurance company and insured's dynamic registration, nullify and manage respective resource and service, it is achieved
Setting loss procedure, standardization.
Described accident anticipation module, sensor, cloud platform, mobile phone A PP, reverse auto model, set up collision simulation mould
Type, collision simulation analyze module, long-range setting loss model, setting loss list, impact test module, system database and setting loss data base's
Various resources, by network infrastructure middleware TomCade, JBoss build resource discovery, describe, register, position, distribute,
Resource information obtains, updates and information issue.Application middleware, is car damage identification data base each accident and emulation formed
Plant Resource Encapsulation and virtualize the standardized module meeting setting loss Web service and setting loss, by various distributions, the Resource Encapsulation of isomery
For meeting the setting loss Web service of service resource framework, dynamic workflow and the functional module of integrated platform unified standard.Setting loss
Web service needs according to setting loss Web service standard and technology, will be packaged into the various resource modules of setting loss application middleware
It is configured to concrete setting loss Web service.Setting loss workflow and user can pass through the various data resources of service call bottom,
These setting loss Web service layer include system database, Claims Resolution scheme base, maintenance program storehouse, the view data set up by emulation
Various resources and the services such as matching module and view data identification module: Task matching and scheduling service, Project Management Service, number
According to service, Information Push Service, knowledge services, subscriber management service, monitoring service, Claims Resolution service, site service, service of simulation
With display result service etc..
The step of long-range unmanned loss assessment system based on vehicle OBD sensor is:
1), after first accident occurs, collision vehicle uploads data to cloud platform automatically by sensor；
2) accident car owner carries out reporting a case to the security authorities by insurance mobile phone A PP and relevant information uploads cloud platform；
3) after insurance company receives the information of reporting a case to the security authorities, from cloud platform obtain car accident data, including traffic injury time,
Place and accident conditions；
4) by long-range setting loss model, data base appraises and decides with car damage identification, thus obtain intuitively, quickly, effectively,
Standardized accident setting loss；
5) according to accident setting loss information, native system combines Claims Resolution scheme, maintenance program can automatically generate setting loss list；
6), after insurance company can carry out the revising of price according to location difference, final payout schedule is produced；Payout schedule can
In conjunction with the maintenance program system of native system, give the insured and keep in repair suggestion.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art in the technical scope of present disclosure, according to technical scheme and
Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.
Claims (10)
1. long-range unmanned loss assessment system based on vehicle OBD sensor, including: accident anticipation module, sensor, cloud platform, hands
Machine APP, reverse auto model, set up collision simulation model, collision simulation analyze module, long-range setting loss model, setting loss list, collision
Tentative module, system database and setting loss data base；Described sensor carries out data stream with accident anticipation module, cloud platform respectively
Alternately, it is mutual that described cloud platform also carries out data stream with long-range setting loss model, mobile phone A PP, set up collision simulation model respectively with
It is mutual that reverse auto model, collision simulation analyze module, impact test module carries out data stream, collision simulation analyze module also with
Remotely setting loss model, system database carry out data stream alternately, and it is mutual that long-range setting loss model also carries out data stream with setting loss list, fixed
It is mutual that damage data base carries out data stream with system database, long-range setting loss model and setting loss list respectively.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that described
Sensor is onboard sensor equipment, carries out transmission and the collection of data, it is thus achieved that accident occur time vehicle 3-axis acceleration,
Three axis angular rates, accident vehicle speed, time of casualty, accident spot, accident voice data and accident image data.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that reverse
Auto model, disassembles including vehicle, vehicle scan, the information such as reverse auto model welding.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that set up
Collision simulation model, including automatically clearing up model module, automatic grid division module, automatic attribute set up module, AutoLink
Set up module, automatically contact definition module, automatic material definition module.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that collision
Simulation analysis module, selects module, task to carry including collision thing module, impact velocity module, impact environment module, derivation algorithm
Hand over module, automatic calculation module, emulation data processing module, automatic setting loss module.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that remotely
Setting loss model, including data categorization module, data processing module, filtration module, characteristic extracting module, intelligent algorithm mould
Block, collision detection module, industrial and mineral judge module, impairment scale judge module.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that setting loss
Single, including part price storehouse, maintenance man-hours storehouse, maintenance program storehouse and Claims Resolution scheme base.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that collision
Tentative module, including vehicle refitting, collision thing processing installation, autopilot facility, impact test data acquisition, sport car data acquisition
Collection.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that system
Data base, including vehicle CAD design model library, vehicle CAE simulation model library, collision object model storehouse, emulation industrial and mineral storehouse, emulation meter
Calculate results repository, emulation data process storehouse, emulation setting loss storehouse, simulated environment storehouse.
Long-range unmanned loss assessment system based on vehicle OBD sensor the most according to claim 1, it is characterised in that remotely
Setting loss model be based on SVM, random forest, neutral net etc. without supervision, semi-supervised, supervise artificial intellectual learning method, logical
The big data of collision simulation crossing accident reproduction carry out the training of long-range setting loss model, test, check.
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| CN201610364313.4A CN106056451A (en) | 2016-05-27 | 2016-05-27 | Vehicle OBD sensor-based remote unmanned loss assessment system |
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| CN201610364313.4A CN106056451A (en) | 2016-05-27 | 2016-05-27 | Vehicle OBD sensor-based remote unmanned loss assessment system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108257024A (en) * | 2017-04-14 | 2018-07-06 | 平安科技（深圳）有限公司 | A kind of Claims Resolution case treating method and apparatus |
| CN109671006A (en) * | 2018-11-22 | 2019-04-23 | 斑马网络技术有限公司 | Traffic accident treatment method, apparatus and storage medium |
| US10789786B2 (en) | 2017-04-11 | 2020-09-29 | Alibaba Group Holding Limited | Picture-based vehicle loss assessment |
| US10817956B2 (en) | 2017-04-11 | 2020-10-27 | Alibaba Group Holding Limited | Image-based vehicle damage determining method and apparatus, and electronic device |
| US11544914B2 (en) | 2021-02-18 | 2023-01-03 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
| WO2024000754A1 (en) * | 2022-06-30 | 2024-01-04 | 青岛海尔科技有限公司 | Sensing event reporting method and apparatus, storage medium, and electronic apparatus |
| US11971953B2 (en) | 2021-02-02 | 2024-04-30 | Inait Sa | Machine annotation of photographic images |
| US11983836B2 (en) | 2021-02-18 | 2024-05-14 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US10789786B2 (en) | 2017-04-11 | 2020-09-29 | Alibaba Group Holding Limited | Picture-based vehicle loss assessment |
| US10817956B2 (en) | 2017-04-11 | 2020-10-27 | Alibaba Group Holding Limited | Image-based vehicle damage determining method and apparatus, and electronic device |
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| US11971953B2 (en) | 2021-02-02 | 2024-04-30 | Inait Sa | Machine annotation of photographic images |
| US11544914B2 (en) | 2021-02-18 | 2023-01-03 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
| US11983836B2 (en) | 2021-02-18 | 2024-05-14 | Inait Sa | Annotation of 3D models with signs of use visible in 2D images |
| WO2024000754A1 (en) * | 2022-06-30 | 2024-01-04 | 青岛海尔科技有限公司 | Sensing event reporting method and apparatus, storage medium, and electronic apparatus |
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Application publication date: 20161026 |