CN105389864A - Method for extracting automobile UBI (usage based insurance) messages - Google Patents
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Abstract
The invention discloses a data extracting method based on automobile UBI (usage based insurance), and belongs to the field of automobile UBI systems. The method includes the steps of automobile UBI data aggregation, gathering, preprocessing, the processing flow, cloud computing, data mining and the like. The method is achieved based on terminal-tube-cloud frameworks of Internet of vehicle (IOV). A vehicle-mounted smart perception terminal acquires all dynamic and static messages of an automobile through a CAN bus and an OBD II; the intelligently-perceived data messages are transmitted to an automobile message platform of the cloud framework in real time through the ubiquitous communication technology; a cloud terminal monitors and judges the operational state of the automobile by analyzing and computing mass data around the automobile message aggregation, computing, dispatching, monitoring and management, the behavior of a driver is analyzed, and software services are provided for automobile insurance, intelligent transportation, vehicle networking and the like.
Description
Technical field
The invention belongs to automobile UBI insurance system field.
Background technology
Tradition vehicle insurance serves primarily in the procedure Claims Resolution of car accident, seldom for driver provides individual value-added service.Because the driving habits of driver cannot be understood by insurance company, personalized car therefore cannot be provided to protect service for different driving users.
Compare with traditional vehicle insurance, automobile UBI (UsageBasedInsurance) has attracted the extensive concern of the industries such as automobile, insurance, internet in recent years.UBI utilizes car networking technology to obtain the running data of car owner, to the data analysis such as driving habits, driving behavior, distance travelled of car owner, judge the level of security of driver, giving different premiums to the car owner of different level of security preferential, is a kind of car insurance of differentiation rate.The rate of this differentiation is based upon on the basis to the detection of consumer behaviour, from the concern concern of model data being transferred to vehicle data, driving behavior data in the past.Obtain abundant vehicle data information and driving behavior information by car networking, and to large data analysis, excavate the valuable information be hidden among mass data, for client provides the service of differentiation fare.
UBI is a kind of New-safety of large data age, its theoretical foundation is that should to obtain premium preferential for the safer driver of driving behavior performance, premium depends on actual driving time, place, the considering of concrete drive manner or these indexs, and therefore it is otherwise known as " just paying premium during driving ", " for your drive manner pays premium " or " vehicle insurance based on mileage ".
Summary of the invention
The object of the invention is to utilize car networking technology to extract vehicle insurance UBI information, by data computational analysis and the excavation in high in the clouds, the information such as timely understanding vehicle condition, driving behavior and driving habits, and formulate differentiation UBI premium according to these information, be the additional value-added services that consumer self and family provide safety and ensure.
For achieving the above object, the present invention adopts following technical scheme:
A method for automobile UBI information extraction, is characterized in that: comprise the steps:
Step 1: by all dynamic and static state information of intelligent vehicle-carried perception terminal collection vehicle, and judge whether vehicle starts, and is, performs step 2, otherwise await orders;
Step 2: intelligent vehicle-carried perception terminal equipment obtains all dynamic pickup information and the static sensor information of vehicle by CAN, OBDII, utilizes intelligent algorithm to carry out to described all dynamic pickup information and static sensor information the UBI data that comprehensive descision analyzes vehicle; Described UBI data comprise the real-time road condition information of vehicle, path data information, distance travelled information, fuel consumption information, driving behavior information and equipment operating information, and described driving behavior information and equipment operating information comprise hypervelocity, suddenly to accelerate, suddenly slow down, take a sudden turn, collide, bring to a halt, terminal device inserts, terminal device is extracted, vehicle sparking prepares to start and information flame-out after vehicle parking;
Described distance travelled information: read vehicle information data by intelligent vehicle-carried perception terminal, obtain total kilometres, the total kilometrage difference of LAP is then the distance travelled of this section; Or calculate distance travelled by gps data;
Described fuel consumption information: read information of vehicles air flow amount by intelligent vehicle-carried perception terminal, air-distributor pressure, the value of engine speed and intake air temperature, obtains oil consumption by special algorithm;
Described anxious acceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, speed difference---the positive that one larger is had between twice speed of a motor vehicle sampling, divided by the time interval of sampling, for accekeration now, if accekeration just in time meets the peak acceleration threshold value of setting, just start to calculate this anxious acceleration process, if and only if when the acceleration time exceedes certain value, just can activate this function, when accekeration is less than peak acceleration threshold value a period of time, will terminate to calculate anxious accelerator, now report anxious acceleration behavior;
Described anxious deceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, speed difference---the negative value that one larger is had between twice speed of a motor vehicle sampling, divided by the time interval of sampling, for deceleration value now, if slow down the maximum deceleration threshold value read to be worth and just in time meet setting, just start to calculate this anxious retarded velocity process, if and only if when exceeding certain value deceleration time, just can activate this function, when deceleration value is less than maximum deceleration threshold value a period of time, will terminate to calculate anxious moderating process, now report anxious deceleration behavior;
Described zig zag: calculated by the speed of a motor vehicle obtained in the angle value of GPS and OBDII data, an angle is had when car is turned time, if the angle of at this moment turning and the speed of a motor vehicle are to a setting value, calculation is that the process of a zig zag starts, if this behavior continues for some time, calculates and now has an action of taking a sudden turn, the angle turned in midway and the speed of a motor vehicle can not reach setting value a period of time, if exceed this period, then judge zig zag procedure ends, and report zig zag behavior;
Step 3: when vehicle is in startup, driving, parking process, intelligent vehicle-carried perception terminal judges whether to upload the car machine gateway of UBI data to the information of vehicles platform of cloud framework according to the frequency of specifying, and is perform step 4, otherwise awaits orders;
Step 4: the data after dissection process are passed to SSGW according to the form of specifying after carrying out dissection process according to related protocol to described UBI data by described car machine gateway---state gateway;
Step 5: described SSGW---state gateway is resolved further these data that it receives and assembles, and is stored in database D ataBase by the data of finally assembling;
Step 6: calculate UBI rate by UBI rate computing method;
Step 7: carry out the process of differentiation premium;
Step 8: operation management system OMP regularly calculates described UBI data, assemble, gather and be stored in the list of specifying;
Step 9: operation operator, by described operation management system OMP, checks UBI data detail and statistical information.
The method of described a kind of automobile UBI information extraction is based on IOV---the end-pipe of InternetofVehicle-cloud framework realizes.
Described intelligent vehicle-carried perception terminal is inserted into vehicle OBDII interface, and read all multidate informations and the static information of vehicle, described all multidate informations and static information comprise the data message of OBD, GPS, G-Sensor.
The method of a kind of automobile UBI of the present invention information extraction, change traditional car and protect pattern, direct-detection and assessment driving safety key factor, but not bring the rule to risk is understood to reform by the index that traditional declaration form uses, reduce the compensation cost of insurance company; Allow consumer obtain more just and can better control self premium car protect product; Be convenient to the management of supervision department to road safety, contribute in strengthening road safety, redemption life and environmental protection, for the additional value-added services that consumer self and family provide safety and ensure, reform regular for insurance company brings brand-new risk simultaneously, reduce the compensation cost of insurance company.
Accompanying drawing explanation
Fig. 1 is based on the UBI system chart of IOV;
Fig. 2 high in the clouds UBI data process diagram;
Fig. 3 automobile UBI data flowchart.
Embodiment
As shown in Figure 1: the method for a kind of automobile UBI of the present invention information extraction, at IOV---basis realizes the end-pipe-cloud framework of InternetofVehicle, intelligent vehicle-carried perception terminal is inserted into vehicle OBDII interface, reads all multidate informations and the static information of vehicle.Described all multidate informations and static information comprise the data message of OBD, GPS, G-Sensor.The main data gathered have OBD at present, GPS, the data message of G-Sensor is obtained by intelligent vehicle-carried perception terminal, GPS and G-Sensor can integrate with intelligent vehicle-carried perception terminal, the vehicle data information relevant to driving behavior read out is sent to the information of vehicles platform of cloud framework by the gsm module in car-mounted terminal by Ubiquitous Network, the information of vehicles platform of cloud framework receives and stores the data reported, the data message relevant to vehicle insurance is excavated from a large amount of vehicle data information, energy consumption of vehicles is calculated to these data analysis, the vehicle condition information such as fault, the driving behavior of car owner and driving habits, mileage etc., and response or propelling movement analysis result are to cell phone platform.Based on the vehicle data information that the information of vehicles platform of cloud framework is excavated, personalized premium value-added service is formulated in the driving behavior for different level of securitys.
Described intelligent vehicle-carried perception terminal equipment obtains all dynamic pickup information and the static sensor information of vehicle by CAN, OBDII, utilizes intelligent algorithm to carry out to described all dynamic pickup information and static sensor information the UBI data that comprehensive descision analyzes vehicle; Described UBI data comprise the real-time road condition information of vehicle, path data information, distance travelled information, fuel consumption information, some special driving behavior information of user and equipment operating information, and described driving behavior information and equipment operating information comprise hypervelocity, suddenly to accelerate, suddenly slow down, take a sudden turn, collide, bring to a halt, equipment inserts (terminal device insertions), vehicle arrangement extracts (terminal device is extracted), vehicle ignition (vehicle sparking prepares to start), flame-out (stopping working after vehicle parking); For hypervelocity, anxious to accelerate, suddenly to slow down, take a sudden turn, collide, the rule of this six classes event of bringing to a halt judges, car machine does not need to pass judgment on team then according to the definition of current actual measurement situation; Collide, bring to a halt, urgency slows down this three classes event, the easy duplicate reports time, need clear and definite judge rule and define.
When vehicle is in startup, driving, parking process, intelligent vehicle-carried perception terminal judges whether to upload the car machine gateway of UBI data to the information of vehicles platform of cloud framework according to the frequency of specifying, after described car machine gateway carries out dissection process according to related protocol to described UBI data as shown in Figure 2, according to the form of specifying, the data after dissection process are passed to SSGW (state gateway); Described SSGW (state gateway) resolves further these data received and assembles, and the data of finally assembling is stored in database D ataBase (DB); UBI rate is calculated by UBI rate computing method; Carry out differentiation premium process operation management system OMP regularly to calculate described UBI data, assemble, gather and be stored in the list of specifying; Operation operator, by described operation management system OMP, checks UBI data detail and statistical information.
After automobile starting, automobile can the information of various sensors of automatic registration of vehicle, when intelligent vehicle-carried perception terminal equipment is connected with OBDII interface, the intelligent information of intelligent vehicle-carried perception terminal collection and acquisition vehicle, perception is carried out to driving conditions and environment, utilize CAN (controller local area network) bus can the static multidate information of perception vehicle, the information such as oil consumption statistics as accurate in vehicle, battery electric quantity, precisely distance travelled statistics simultaneously.All information of vehicle are sent to high in the clouds, high in the clouds calculates and data mining these data analysis, due to the diversity of vehicle, the complicacy of equipment working environment, data just can not reach unified quality standard, high in the clouds processes the data of different available rates, and be worth, by SaaS (namely software serve) cloud computing mode, for vehicle insurance provides service from the accuracy that these data produce.
Its concrete steps are as shown in Figure 3:
Comprise the steps:
Step 1: by all multidate informations and the static information of intelligent vehicle-carried perception terminal collection vehicle, and judge whether vehicle starts, and is, performs step 2, otherwise await orders;
Step 2: intelligent vehicle-carried perception terminal equipment obtains all dynamic pickup information and the static sensor information of vehicle by CAN, OBDII, utilizes intelligent algorithm to carry out to described all dynamic pickup information and static sensor information the UBI data that comprehensive descision analyzes vehicle; Described UBI data comprise the real-time road condition information of vehicle, path data information, distance travelled information, fuel consumption information, driving behavior information and equipment operating information, and described driving behavior information and equipment operating information comprise hypervelocity, suddenly to accelerate, suddenly slow down, take a sudden turn, collide, bring to a halt, terminal device inserts, terminal device is extracted, vehicle sparking prepares to start and information flame-out after vehicle parking;
Described distance travelled information: read vehicle information data by intelligent vehicle-carried perception terminal, obtain total kilometres, the total kilometrage difference of LAP is then the distance travelled of this section; Or calculate distance travelled by gps data;
Described fuel consumption information: the value being read information of vehicles air flow amount, air-distributor pressure, engine speed and intake air temperature by intelligent vehicle-carried perception terminal, obtains oil consumption by special algorithm;
Described anxious acceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, the speed difference (positive) that one larger is had between twice speed of a motor vehicle sampling, divided by the time interval of sampling, for accekeration now, if accekeration just in time meets the peak acceleration threshold value of setting, just start to calculate this anxious acceleration process, if and only if when the acceleration time exceedes certain value, just can activate this function, when accekeration is less than peak acceleration threshold value a period of time, will terminate to calculate anxious accelerator, now report anxious acceleration behavior;
Described anxious deceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, the speed difference (negative value) that one larger is had between twice speed of a motor vehicle sampling, divided by the time interval of sampling, for deceleration value now, if slow down the maximum deceleration threshold value read to be worth and just in time meet setting, just start to calculate this anxious retarded velocity process, if and only if when exceeding certain value deceleration time, just can activate this function, when deceleration value is less than maximum deceleration threshold value a period of time, will terminate to calculate anxious moderating process, now report anxious deceleration behavior;
Described zig zag: calculated by the speed of a motor vehicle obtained in the angle value of GPS and OBDII data, an angle is had when car is turned time, if the angle of at this moment turning and the speed of a motor vehicle are to a setting value, calculation is that the process of a zig zag starts, if this behavior continues for some time, calculates and now has an action of taking a sudden turn, the angle turned in midway and the speed of a motor vehicle can not reach setting value a period of time, if exceed this period, then judge zig zag procedure ends, and report zig zag behavior;
Step 3: when vehicle is in startup, driving, parking process, intelligent vehicle-carried perception terminal judges whether to upload the car machine gateway of UBI data to the information of vehicles platform of cloud framework according to the frequency of specifying, and is perform step 4, otherwise awaits orders;
Step 4: the data after dissection process are passed to SSGW (state gateway) according to the form of specifying after carrying out dissection process according to related protocol to described UBI data by described car machine gateway;
Step 5: described SSGW (state gateway) resolves further these data that it receives and assembles, and the data of finally assembling are stored in database D ataBase (DB);
Step 6: calculate UBI rate by UBI rate computing method;
Step 7: carry out the process of differentiation premium;
Step 8: operation management system OMP regularly calculates described UBI data, assemble, gather and be stored in the list of specifying;
Step 9: operation operator, by described operation management system OMP, checks UBI data detail and statistical information.
Claims (3)
1. a method for automobile UBI information extraction, is characterized in that: comprise the steps:
Step 1: by all dynamic and static state information of intelligent vehicle-carried perception terminal collection vehicle, and judge whether vehicle starts, and is, performs step 2, otherwise await orders;
Step 2: intelligent vehicle-carried perception terminal equipment obtains all dynamic pickup information and the static sensor information of vehicle by CAN, OBDII, utilizes intelligent algorithm to carry out to described all dynamic pickup information and static sensor information the UBI data that comprehensive descision analyzes vehicle; Described UBI data comprise the real-time road condition information of vehicle, path data information, distance travelled information, fuel consumption information, driving behavior information and equipment operating information, and described driving behavior information and equipment operating information comprise hypervelocity, suddenly to accelerate, suddenly slow down, take a sudden turn, collide, bring to a halt, terminal device inserts, terminal device is extracted, vehicle sparking prepares to start and information flame-out after vehicle parking;
Described distance travelled information: read vehicle information data by intelligent vehicle-carried perception terminal, obtain total kilometres, the total kilometrage difference of LAP is then the distance travelled of this section; Or calculate distance travelled by gps data;
Described fuel consumption information: the value being read information of vehicles air flow amount, air-distributor pressure, engine speed and intake air temperature by intelligent vehicle-carried perception terminal, obtains oil consumption by special algorithm;
Described anxious acceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, a speed difference is had between twice speed of a motor vehicle sampling---positive, divided by the time interval of sampling, for accekeration now, if accekeration just in time meets the peak acceleration threshold value of setting, just start to calculate this anxious acceleration process, if and only if when the acceleration time exceedes certain value, just can activate this function, when accekeration is less than peak acceleration threshold value a period of time, will terminate to calculate anxious accelerator, now report anxious acceleration behavior;
Described anxious deceleration: calculated by the speed of a motor vehicle gathered in the data of OBDII, a speed difference is had between twice speed of a motor vehicle sampling---negative value, divided by the time interval of sampling, for deceleration value now, if slow down the maximum deceleration threshold value read to be worth and just in time meet setting, just start to calculate this anxious retarded velocity process, if and only if when exceeding certain value deceleration time, just can activate this function, when deceleration value is less than maximum deceleration threshold value a period of time, will terminate to calculate anxious moderating process, now report anxious deceleration behavior;
Described zig zag: calculated by the speed of a motor vehicle obtained in the angle value of GPS and OBDII data, an angle is had when car is turned time, if the angle of at this moment turning and the speed of a motor vehicle have arrived setting value, calculation is that the process of a zig zag starts, if this behavior continues for some time, calculate and now have an action of taking a sudden turn, if exceed this period, then judge zig zag procedure ends, and report zig zag behavior;
Step 3: when vehicle is in startup, driving, parking process, intelligent vehicle-carried perception terminal judges whether to upload the car machine gateway of UBI data to the information of vehicles platform of cloud framework according to the frequency of specifying, and is perform step 4, otherwise awaits orders;
Step 4: the data after dissection process are passed to SSGW according to the form of specifying after carrying out dissection process to described UBI data by described car machine gateway---state gateway;
Step 5: described SSGW---state gateway is resolved further its data received and assembles, and is stored in database D ataBase by the data of finally assembling;
Step 6: calculate UBI rate by UBI rate computing method;
Step 7: carry out the process of differentiation premium;
Step 8: operation management system OMP regularly calculates described UBI data, assemble, gather and be stored in the list of specifying;
Step 9: operation operator, by described operation management system OMP, checks UBI data detail and statistical information.
2. the method for a kind of automobile UBI as claimed in claim 1 information extraction, is characterized in that: the method for described a kind of automobile UBI information extraction is based on IOV---the end-pipe of InternetofVehicle-cloud framework realizes.
3. the method for a kind of automobile UBI as claimed in claim 1 information extraction, it is characterized in that: described intelligent vehicle-carried perception terminal is inserted into vehicle OBDII interface, read all multidate informations and the static information of vehicle, described all multidate informations and static information comprise the data message of OBD, GPS, G-Sensor.
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Application publication date: 20160309 |