CN104932359B - The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology - Google Patents
The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology Download PDFInfo
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- CN104932359B CN104932359B CN201510289368.9A CN201510289368A CN104932359B CN 104932359 B CN104932359 B CN 104932359B CN 201510289368 A CN201510289368 A CN 201510289368A CN 104932359 B CN104932359 B CN 104932359B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25314—Modular structure, modules
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Abstract
The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology, including data acquisition module, cloud platform calculate center module, CAE setting loss database and output module；The cloud platform calculates center module and is connected respectively with data acquisition module, CAE setting loss database and output module；The present invention solve the setting loss of car damage identification industry not in time, the problems such as clarity is not high, concertedness is poor, transparency is low.
Description
Technical field
The invention belongs to vehicle remote setting loss field, the unmanned setting loss of specifically a kind of vehicle remote based on CAE technology
System and damage identification method.
Background technique
For a long time, insurance company's car damage identification is carried out according to following two modes always: 1. original setting loss modes: client
When vehicle needs to repair because of accident classification, it is necessary first to which vehicle is reached the shop 4S, the shop 4S declaration insurance company setting loss personnel, to scene
The damaged condition of vehicle is identified, while assessing repair cost, the shop 4S starts to repair after price determines, expense is then by protecting
Dangerous company pays.2. being based on Network Video Surveillance: realize that the mode of long-distance video setting loss, this method pass through Network Video Surveillance,
Remote monitoring service is carried out to settlement of insurance claim site in institute of insurance company administrative area and vehicle maintenance point.
With the surge of insurance vehicle, above two setting loss mode exposes more and more problems, when paying for such as setting loss core
Between long, setting loss evaluation process and price is opaque, manpower and material resources are at high cost during constant speed and the intentional insurance fraud of criminal etc..
Summary of the invention
In order to solve the above problems existing in the present technology, the present invention provides a kind of vehicle remotes based on CAE technology
Unmanned loss assessment system and damage identification method, solve the setting loss of car damage identification industry not in time, clarity is not high, concertedness is poor, transparent
Spend the problems such as low.
To achieve the above object, the technical scheme is that the unmanned loss assessment system of vehicle remote based on CAE technology,
Center module, CAE setting loss database and output module are calculated including data acquisition module, cloud platform；The cloud platform calculates
Center module is connected with data acquisition module, CAE setting loss database and output module respectively；
The data acquisition module reads vehicle for acquiring vehicle location in vehicle travel process, attitude signal in real time
Fault diagnosis data records driving behavior and driver's biological property (whether fatigue driving and drunk driving)；
The cloud platform calculates signal parameter of the center module to receive and handle data collecting module collected；Vehicle
When accident occurs, cloud platform calculates the various signal parameters that center module is acquired according to vehicle, is calculated by fuzzy neural network,
Match with CAE setting loss database, completes car damage identification and calculate；
The CAE setting loss database is used to calculate center module cooperation with cloud platform, completes setting loss jointly；
The output module generates long-range setting loss report, record collision time of origin, place, accident responsibility side, nearby
Maintenace point, part injury grade and maintenance price, and long-range setting loss is reported to the client for being sent to insurer and insurance company.
The data acquisition module includes: 3-axis acceleration sensor, three-axis gyroscope, three axle magnetometer, air pressure height
Spend table, GPS sensor, sound transducer, car fault diagnosis device, WIFI hot spot management module, 4G wireless communication module and life
Object medical sensor.
Database is assessed in the CAE setting loss database, including CAE simulation data base and setting loss.
The CAE simulation data base includes peak acceleration characteristic value, the maximum under different automobile types difference collision accident
The information such as stress and strain of angular speed characteristic value, the deflection of key area, components.
Database, the judgement including division and part maintenance cost to part injury grade are assessed in the setting loss.
The unmanned damage identification method of vehicle remote based on CAE technology, is realized based on above system, the specific steps are as follows:
S1: vehicle igniting, this system are started to work；
S2: the signal parameter in data collecting module collected vehicle travel process, the signal parameter be vehicle angular speed,
Acceleration, position, sound, air pressure, real-time vehicle fault diagnosis and driver's biomedicine signals；
S3: cloud platform calculates the signal parameter that center module receives and handles data collecting module collected, and by fuzzy
Neural computing, by the result of calculating and CAE setting loss database matching；
S4: output module generates long-range setting loss report, record collision time of origin, place, accident responsibility side, nearby maintenance
Point, part injury grade and maintenance price, and long-range setting loss is reported to the client for being sent to insurer and insurance company.
The beneficial effects of the present invention are: solve the setting loss of car damage identification industry not in time, clarity is high, concertedness
Difference, the problems such as transparency is low；This system structure is simple, at low cost, setting loss result is accurate.
Detailed description of the invention
The present invention shares 3 width of attached drawing:
Fig. 1 is the structural block diagram of this system；
Fig. 2 is CAE setting loss database structure block diagram；
Fig. 3 is the work flow diagram of this system.
Specific embodiment
Technical scheme of the present invention is further described by 1-3 below by way of examples and with reference to the accompanying drawings.
The unmanned loss assessment system of vehicle remote based on CAE technology, including data acquisition module, cloud platform calculate center die
Block, CAE setting loss database and output module；The cloud platform calculate center module respectively with data acquisition module, CAE setting loss
Database is connected with output module；The data acquisition module is used to acquire the signal parameter in vehicle travel process；It is described
Cloud platform calculate signal parameter of the center module to receive and handle data collecting module collected；The CAE setting loss number
According to Cooley CAE emulation technology, Virtual Test Analysis is carried out for different automobile types, different emergency conditions, is collected in accident process
The various characteristic parameters of vehicle establish perfect CAE setting loss database, and calculate center module cooperation with cloud platform, carry out vehicle
Setting loss matching；The output module generates long-range setting loss report, record collision time of origin, place, nearest maintenace point, accident
Responsible party, part injury grade and maintenance price, and long-range setting loss is reported to the client for being sent to insurer and insurance company.
The data acquisition module, comprising: 3-axis acceleration sensor, three-axis gyroscope, three axle magnetometer, air pressure are high
Spend table, GPS sensor, sound transducer, car fault diagnosis device, WIFI hot spot management module, 4G wireless communication module and life
Object medical sensor；For acquiring the data information in vehicle travel process, cooperation cloud platform calculates center module, completes vehicle
Motion detection, position navigation, driving behavior record, collision accident identification etc..
Database is assessed in the CAE setting loss database, including CAE simulation data base and setting loss.The CAE emulates number
According to library, include the peak acceleration characteristic value under different automobile types difference collision accident, maximum angular rate characteristic value, key area
The information such as stress and strain of deflection, components.The setting loss assessment database is fixed for CAE simulation result and reality
Damage a set of evaluation system that situation is formulated, the judgement including division and part maintenance cost to part injury grade.
The unmanned damage identification method of vehicle remote based on CAE technology, is realized based on above system, the specific steps are as follows:
S1: vehicle igniting, this system are started to work；
S2: the signal parameter in data collecting module collected vehicle travel process, the signal parameter are the real-time event of vehicle
Hinder diagnosis, angular speed, acceleration, position, sound, air pressure and driver's sign state (whether tired, drunk driving)；
S3: cloud platform calculates the signal parameter that center module receives and handles data collecting module collected, and passes through nerve
Network query function assesses database matching with CAE simulation data base and setting loss；
S4: output module generates long-range setting loss report, record collision time of origin, place, accident responsibility side, nearby maintenance
Point, part injury grade and maintenance price, and long-range setting loss is reported to the client for being sent to insurer and insurance company.
The data information transfer and Data Matching being related in the present invention are the common knowledge of those skilled in the art；This hair
The bright damage identification method for being intended to protect connection and this system between modules solves the setting loss of car damage identification industry not in time, clearly
It is clear to spend the problems such as not high, concertedness is poor, transparency is low.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art within the technical scope of the present disclosure, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (1)
1. the unmanned damage identification method of vehicle remote based on CAE technology, which is characterized in that specific step is as follows:
S1: vehicle igniting, this system are started to work；
S2: the signal parameter in data collecting module collected vehicle travel process, the signal parameter are the angular speed of vehicle, accelerate
Degree, position, sound, air pressure, real-time fault diagnosis and driver's sign state；
S3: cloud platform calculates the signal parameter that center module receives and handles data collecting module collected, and passes through fuzzy neural
Network query function assesses database matching with CAE simulation data base and setting loss；
S4: output module generates long-range setting loss report, record collision time of origin, place, accident responsibility side, nearest maintenace point,
Part injury grade and maintenance price, and long-range setting loss is reported to the client for being sent to insurer and insurance company；
The above method is realized in the unmanned loss assessment system of vehicle remote, which includes data acquisition module, cloud platform meter
Calculate center module, CAE setting loss database and output module；The cloud platform calculate center module respectively with data acquisition module
Block, CAE setting loss database are connected with output module；The data acquisition module is for acquiring vehicle position in vehicle travel process
It sets, attitude signal, reads car fault diagnosis data in real time, record driving behavior and driver's biological property；The cloud
Platform calculates signal parameter of the center module to receive and handle data collecting module collected, passes through fuzzy neural network meter
It calculates, matches with CAE setting loss database, complete car damage identification and calculate；The CAE setting loss database is used to and cloud platform meter
Center module cooperation is calculated, completes setting loss jointly；The output module generates long-range setting loss and reports, record collision time of origin,
Place, accident responsibility side, nearest maintenace point, part injury grade and maintenance price, and long-range setting loss report is sent to and is insured
The client of people and insurance company；Database is assessed in the CAE setting loss database, including CAE simulation data base and setting loss；Institute
The CAE simulation data base stated includes peak acceleration characteristic value, the maximum angular rate feature under different automobile types difference collision accident
Value, the stress and strain information of the deflection of key area, components.
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| CN201510289368.9A CN104932359B (en) | 2015-05-29 | 2015-05-29 | The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology |
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| CN201510289368.9A CN104932359B (en) | 2015-05-29 | 2015-05-29 | The unmanned loss assessment system of vehicle remote and damage identification method based on CAE technology |
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