CN109325856A - A kind of accurate method for pushing of vehicle insurance based on Internet of Things big data - Google Patents
A kind of accurate method for pushing of vehicle insurance based on Internet of Things big data Download PDFInfo
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- CN109325856A CN109325856A CN201810996756.4A CN201810996756A CN109325856A CN 109325856 A CN109325856 A CN 109325856A CN 201810996756 A CN201810996756 A CN 201810996756A CN 109325856 A CN109325856 A CN 109325856A
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Abstract
The invention discloses a kind of accurate method for pushing of the vehicle insurance based on Internet of Things big data, and this method includes basic data acquisition, and user base data and vehicle insurance basic data are obtained from Internet of Things by information acquisition module；Users'Data Analysis analyzes the user base data obtained in above-mentioned steps by information analysis module, obtains user base information, and add user tag to the attribute of user, the user base information includes at least customer position information；Data mining, customer position information is extracted from user base information, and data mining is carried out to other people information of being in danger on user location periphery, while the environmental information on user location periphery is excavated, and other people are added to the attribute of user and is in danger label and environmental labels.The present invention is realized and is pushed on the line of vehicle insurance, reduces operation cost, improves the push success rate and profit margin of vehicle insurance.
Description
Technical field
The present invention relates to big data advertisement applications technical field more particularly to a kind of vehicle insurance essences based on Internet of Things big data
Quasi- method for pushing.
Background technique
Internet of Things is exactly the connected internet of object object, and Internet of Things is logical by Intellisense, identification technology and general fit calculation etc.
Believe cognition technology, be widely used in the fusion of network, is also therefore referred to as the world information industry after computer, internet
The third wave of development.The most significant benefit of Internet of Things is exactly that it can greatly extend us and monitors and measure real world
The thing and ability of middle generation.Big data, refer to can not be captured within certain time with conventional software tool, manage and
The data acquisition system of processing is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Magnanimity, high growth rate and diversified information assets.Internet of Things can generate the data of magnanimity during object object is connected,
Various types of data and characteristic or the purpose for being abstracted its versatility in summary Internet of Things are the Internet of Things different for better choice
Network technology is quickly and effectively implemented.Based on the above technology, occur a kind of pushing away for big data precision marketing currently on the market
Pin mode, core concept are to analyze the raw data of Internet of Things fecund, and based on the analysis results, find out optimum distribution pair
As to realize precision marketing.
Vehicle insurance way of promotion in the prior art generally has following several:
1) below-the-line promotion, by the way of distributing leaflets, signposting, online lower directly searching potential customers.This way of promotion needs
Consume a large amount of human and material resources, and effect very little.
2) cooperate with the shop 4S or garage, directly correspond to car owner.This way of promotion needs to make concessions to the shop 4S or garage,
Therefore profit is made thinner.
3) it cooperates, is made concessions in client, to obtain a large amount of client source with large group.Likewise, since interest concessions are given
Client, so profit is diluted.
Based on disadvantage present in above-mentioned way of promotion, it is now desired to which one kind mode that can precisely promote on line drops
Low distribution cost, while improving the success rate of distribution.
Summary of the invention
There are shortcomings for the mode promoted the purpose of the present invention is to solve vehicle insurance in the prior art, need a kind of line
The problem of upper distribution, and the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data proposed.
To achieve the goals above, present invention employs following technical solutions:
A kind of accurate method for pushing of vehicle insurance based on Internet of Things big data, this method include,
S1: basic data acquisition obtains user base data and vehicle insurance basic data by information acquisition module from Internet of Things；
S2: Users'Data Analysis analyzes the user base data obtained in S1 by information analysis module, obtains user
Basic information, and user tag is added to the attribute of user, the user base information includes at least customer position information；
S3: customer position information is extracted in data mining from the user base information of S2, and goes out to other people of user location periphery
Dangerous information carries out data mining, while excavating to the environmental information on user location periphery, and add him to the attribute of user
People is in danger label and environmental labels；
S4: the analysis of vehicle insurance data analyzes the vehicle insurance data obtained in S1 by information analysis module, obtains vehicle insurance basis
Information, and vehicle insurance label is added to the attribute of vehicle insurance；
S5: user tag, other people be in danger label and the environmental labels in S2 and S3 are compared with the vehicle insurance label in S4, really
Determine user tag, the degree of association that other people are in danger between label and environmental labels and vehicle insurance label；
S6: it determines that the degree of association is more than the vehicle insurance label of setting value in S5, and passes through vehicle insurance pushing module for corresponding vehicle insurance information
It is pushed to user.
Preferably, the user base information further include customer consumption information, user's trip information, user's information of vehicles and
User's vehicle insurance information；The customer position information includes near home address, CompanyAddress and home address and CompanyAddress
Commercial circle, for analyzing the geographical location of user；The customer consumption information, including letter is consumed under consumption information and line on line
Breath, for analyzing the consumer behavior and consumption habit of user；User's trip information, for analyzing the traffic path of user；
User's vehicle insurance information, for analyzing insure situation and the information of being in danger of user's vehicle insurance.
Preferably, user's trip information includes driving path and driving duration.
Preferably, user's information of vehicles includes the vehicle annual test information to match with user's vehicle insurance information, and vehicle is protected
Information is supported, vehicle maintenance information determines the failure that vehicle is easy to appear for analyzing the vehicle condition of user.
Preferably, the environmental labels include at least the ambient weather information to match with user location, environment road conditions letter
Breath and environment topography information, for analyze user's nearby vehicle be easy by environment influenced.
Preferably, other people labels that are in danger include at least the information of being in danger of other vehicles to match with user location,
It is in danger the higher insurance kind of the frequency for analyzing other vehicles of user periphery.
Preferably, the user tag includes at least customer consumption label, user goes out row label, user's vehicle insurance label, uses
Family location tags and user's vehicle tag.
Preferably, it is insured amount to include at least price, protection scope, insurance company and vehicle insurance for the vehicle insurance label.
Compared with prior art, the present invention provides a kind of accurate method for pushing of the vehicle insurance based on Internet of Things big data, tools
It is standby following the utility model has the advantages that
1, it is somebody's turn to do the accurate method for pushing of vehicle insurance based on Internet of Things big data, it is available by the collection to user base information
Customer position information, customer consumption information, user's trip information, user's information of vehicles and user's vehicle insurance information are used for analyzing
The geographical location at family, the consumer behavior and consumption habit of user, the traffic path of user, user's vehicle insurance insure situation and go out
Dangerous information, and the vehicle annual test information, vehicle maintenance information and the vehicle maintenance information that match with user's vehicle insurance information, are used for
Analyze user vehicle condition, determine its failure being easy to appear, and match with user location ambient weather information, ring
Border traffic information, environment topography information, for analyze user's nearby vehicle be easy by environment influenced, and and user location
Other people are in danger information on the periphery to match, are in danger the higher insurance kind of the frequency for analyzing other people vehicles of user periphery, by with
Upper information is analyzed, and can be drawn a portrait to user, and is added label, including customer consumption label, user to user
Out row label, user's vehicle insurance label, user location label and user's vehicle tag and other people be in danger label and environmental labels,
Then with vehicle insurance label, i.e. the price of vehicle insurance, protection scope, insurance company and vehicle insurance protection amount compare and analyze, and determines user
Label, the degree of association that other people are in danger between label and environmental labels and vehicle insurance label determine that wherein the degree of association is more than setting value
Vehicle insurance label, and corresponding vehicle insurance information is pushed to by user by vehicle insurance pushing module and is pushed to user, to reach vehicle
The technical effect that danger precisely pushes, the above method for pushing, whole process all operate on line, alleviate the operation cost of insurance company,
The success rate of vehicle insurance push is improved, and then improves profit.
It is not directed to part in the device to be the same as those in the prior art or can be realized by using the prior art, the present invention realizes
It is pushed on the line of vehicle insurance, reduces operation cost, improve the push success rate and profit margin of vehicle insurance.
Detailed description of the invention
Fig. 1 is a kind of accurate method for pushing flow chart of vehicle insurance based on Internet of Things big data proposed by the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
In the description of the present invention, it is to be understood that, term " on ", "lower", "front", "rear", "left", "right", "top",
The orientation or positional relationship of the instructions such as "bottom", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, merely to just
In description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with
Specific orientation construction and operation, therefore be not considered as limiting the invention.
Referring to Fig.1, a kind of accurate method for pushing of vehicle insurance based on Internet of Things big data, this method include,
S1: basic data acquisition obtains user base data and vehicle insurance basic data by information acquisition module from Internet of Things；
S2: Users'Data Analysis analyzes the user base data obtained in S1 by information analysis module, obtains user
Basic information, and user tag is added to the attribute of user, the user base information includes at least customer position information；
S3: customer position information is extracted in data mining from the user base information of S2, and goes out to other people of user location periphery
Dangerous information carries out data mining, while excavating to the environmental information on user location periphery, and add him to the attribute of user
People is in danger label and environmental labels；
S4: the analysis of vehicle insurance data analyzes the vehicle insurance data obtained in S1 by information analysis module, obtains vehicle insurance basis
Information, and vehicle insurance label is added to the attribute of vehicle insurance；
S5: user tag, other people be in danger label and the environmental labels in S2 and S3 are compared with the vehicle insurance label in S4, really
Determine user tag, the degree of association that other people are in danger between label and environmental labels and vehicle insurance label；
S6: it determines that the degree of association is more than the vehicle insurance label of setting value in S5, and passes through vehicle insurance pushing module for corresponding vehicle insurance information
It is pushed to user.
User base information further includes customer consumption information, user's trip information, user's information of vehicles and user's vehicle insurance letter
Breath；The customer position information includes the commercial circle near home address, CompanyAddress and home address and CompanyAddress, is used for
The geographical location of user is analyzed, wherein obtaining for customer position information can be remembered by the information left when payment under user's line
Record, the information record that user leaves in bank outlets' withdrawal, user are recorded using the information that shared device leaves, user's online
When the information that is left using GPS navigation or Beidou navigation of IP address and user record etc., pass through the synthesis point of information above
Analysis, can delimit the scope of activities of user；Customer consumption information, including consumption information under consumption information and line on line, by with
The analysis of upper information, it is possible to determine that the consumption habit and consuming capacity of user；User's trip information can use GPS by user
The information record that navigation or Beidou navigation leave and the information record of the shared trip equipment that uses of user etc. obtain, and lead to
Cross the analysis of information above, it can be deduced that the traffic path of user and travel time, i.e. driving path and driving duration；User's vehicle
Dangerous information includes insure situation and the information of being in danger of user's vehicle insurance, can be obtained by the back-end data of insurance company, by above
The analysis of information can learn insure situation and the insurance kind insured and the insurance kind that do not insure and the user's of user's vehicle
It is in danger the frequency.
User's information of vehicles includes vehicle annual test information, vehicle maintenance information and the vehicle to match with user's vehicle insurance information
Repair message determines the failure that vehicle is easy to appear, and then be added mark to user for analyzing the vehicle condition of user
Label, the failure for determining the situation of its vehicle and easily occurring.
Environmental labels include at least ambient weather information, environment traffic information and the environment topography to match with user location
Information, for analyze user's nearby vehicle be easy by environment influenced, such as the vehicle of heavy rain day topography low laying areas more needs
Vehicle is wanted to paddle danger, also for example, under hot weather, automobile parking is easily in danger dieseling outdoors, needs spontaneous combustion loss danger, also
For example, road is under repair status or in the case that road conditions are crowded, then need scratch dangerous.
Other people include at least the information of being in danger of other vehicles to match with user location at the label that is in danger, for analyzing user
Other vehicles of periphery are in danger the higher insurance kind of the frequency, it can be deduced that the frequency that same accident occurs for vehicle is higher, the convenient danger
Kind.
User tag include at least customer consumption label, user go out row label, user's vehicle insurance label, user location label and
User's vehicle tag.
Vehicle insurance label includes price, and protection scope, insurance company, vehicle insurance is insured amount, can be quick by adding the above label
With user tag, other people are in danger label and environmental labels are compared, determine that user tag, other people are in danger label and environment mark
The degree of association between label and vehicle insurance label determines that wherein the degree of association is more than the vehicle insurance label of setting value, and pushes mould by vehicle insurance
Corresponding vehicle insurance information is pushed to user and is pushed to user by block, to reach the technical effect that vehicle insurance precisely pushes.
In the present invention, by the collection to user base information, available customer position information, customer consumption information,
User's trip information, user's information of vehicles and user's vehicle insurance information, for analyzing the geographical location of user, the consumer behavior of user
And consumption habit, the traffic path of user, insure situation and the information of being in danger of user's vehicle insurance, and with user's vehicle insurance information phase
Matched vehicle annual test information, vehicle maintenance information and vehicle maintenance information determine its appearance for analyzing the vehicle condition of user
The failure easily occurred, and the ambient weather information, environment traffic information, the environment topography information that match with user location are used
In analysis user's nearby vehicle be easy by environment influenced, and the periphery to match with user location other people be in danger information,
For analyze other people vehicles of user periphery be in danger the higher insurance kind of the frequency can be to user by analyzing information above
It draws a portrait, and label is added to user, including customer consumption label, user go out row label, user's vehicle insurance label, user
Location tags and user's vehicle tag and other people be in danger label and environmental labels, then with vehicle insurance label, the i.e. valence of vehicle insurance
Lattice, protection scope, insurance company and vehicle insurance protection amount compare and analyze, and determine that user tag, other people are in danger label and environment mark
The degree of association between label and vehicle insurance label determines that wherein the degree of association is more than the vehicle insurance label of setting value, and pushes mould by vehicle insurance
Corresponding vehicle insurance information is pushed to user and is pushed to user by block, thus reach the technical effect that vehicle insurance precisely pushes, it is above
Method for pushing, whole process all operate on line, alleviate the operation cost of insurance company, improve the success rate of vehicle insurance push, into
And improve profit.
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 in the technical scope disclosed by the present invention, 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 (8)
1. a kind of accurate method for pushing of vehicle insurance based on Internet of Things big data, which is characterized in that
S1: basic data acquisition obtains user base data and vehicle insurance basic data by information acquisition module from Internet of Things；
S2: Users'Data Analysis analyzes the user base data obtained in S1 by information analysis module, obtains user
Basic information, and user tag is added to the attribute of user, the user base information includes at least customer position information；
S3: customer position information is extracted in data mining from the user base information of S2, and goes out to other people of user location periphery
Dangerous information carries out data mining, while excavating to the environmental information on user location periphery, and add him to the attribute of user
People is in danger label and environmental labels；
S4: the analysis of vehicle insurance data analyzes the vehicle insurance data obtained in S1 by information analysis module, obtains vehicle insurance basis
Information, and vehicle insurance label is added to the attribute of vehicle insurance；
S5: user tag, other people be in danger label and the environmental labels in S2 and S3 are compared with the vehicle insurance label in S4, really
Determine user tag, the degree of association that other people are in danger between label and environmental labels and vehicle insurance label；
S6: it determines that the degree of association is more than the vehicle insurance label of setting value in S5, and passes through vehicle insurance pushing module for corresponding vehicle insurance information
It is pushed to user.
2. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 1, which is characterized in that institute
Stating user base information further includes customer consumption information, user's trip information, user's information of vehicles and user's vehicle insurance information；It is described
Customer position information includes the commercial circle near home address, CompanyAddress and home address and CompanyAddress, is used for analyzing
The geographical location at family；The customer consumption information, including consumption information under consumption information and line on line, for analyzing disappearing for user
Take behavior and consumption habit；User's trip information, for analyzing the traffic path of user；User's vehicle insurance information is used
In insure situation and the information of being in danger of analysis user's vehicle insurance.
3. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 2, which is characterized in that institute
Stating user's trip information includes driving path and driving duration.
4. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 2, which is characterized in that institute
Stating user's information of vehicles includes the vehicle annual test information to match with user's vehicle insurance information, vehicle maintenance information, vehicle maintenance letter
Breath determines the failure that vehicle is easy to appear for analyzing the vehicle condition of user.
5. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 1, which is characterized in that institute
It states environmental labels and includes at least ambient weather information, environment traffic information and the environment topography information to match with user location,
For analyze user's nearby vehicle be easy by environment influenced.
6. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 1, which is characterized in that institute
State other people labels that are in danger and include at least the information of being in danger of other vehicles to match with user location, for analyze user periphery its
His vehicle is in danger the higher insurance kind of the frequency.
7. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 1, which is characterized in that institute
It states user tag and goes out row label, user's vehicle insurance label, user location label and user's vehicle including at least customer consumption label, user
Label.
8. the accurate method for pushing of a kind of vehicle insurance based on Internet of Things big data according to claim 1, which is characterized in that institute
It is insured amount including at least the price of vehicle insurance, protection scope, insurance company and vehicle insurance to state vehicle insurance label.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109903173A (en) * | 2019-02-19 | 2019-06-18 | 阿里巴巴集团控股有限公司 | A kind of processing method of insurance business, device, equipment and system |
| CN110619545A (en) * | 2019-09-06 | 2019-12-27 | 中国平安财产保险股份有限公司 | Big data-based vehicle insurance data pushing method, system, equipment and storage medium |
| CN110782357A (en) * | 2019-10-18 | 2020-02-11 | 海腾保险代理有限公司 | Vehicle dangerous species determination method and device, equipment and storage medium |
| CN111028090A (en) * | 2019-11-29 | 2020-04-17 | 泰康保险集团股份有限公司 | Application data processing method and device, electronic equipment and storage medium |
| CN111016781A (en) * | 2019-12-09 | 2020-04-17 | 上海擎感智能科技有限公司 | Vehicle control method, vehicle-mounted terminal and computer storage medium |
| CN112750045A (en) * | 2019-10-30 | 2021-05-04 | 上海博泰悦臻电子设备制造有限公司 | Method, mobile device, and computer-readable storage medium for generating insurance information |
| CN112750323A (en) * | 2019-10-30 | 2021-05-04 | 上海博泰悦臻电子设备制造有限公司 | Management method, apparatus and computer storage medium for vehicle safety |
| CN113553502A (en) * | 2021-07-05 | 2021-10-26 | 上海优咔网络科技有限公司 | Personalized insurance recommendation method based on intelligent travel scene engine |
| CN116777530A (en) * | 2023-08-23 | 2023-09-19 | 山东四季汽车服务有限公司 | Automobile service system based on intelligent recommendation |
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2018
- 2018-08-29 CN CN201810996756.4A patent/CN109325856A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109903173A (en) * | 2019-02-19 | 2019-06-18 | 阿里巴巴集团控股有限公司 | A kind of processing method of insurance business, device, equipment and system |
| CN110619545A (en) * | 2019-09-06 | 2019-12-27 | 中国平安财产保险股份有限公司 | Big data-based vehicle insurance data pushing method, system, equipment and storage medium |
| CN110619545B (en) * | 2019-09-06 | 2023-07-21 | 中国平安财产保险股份有限公司 | Vehicle insurance data pushing method, system, equipment and storage medium based on big data |
| CN110782357A (en) * | 2019-10-18 | 2020-02-11 | 海腾保险代理有限公司 | Vehicle dangerous species determination method and device, equipment and storage medium |
| CN112750045A (en) * | 2019-10-30 | 2021-05-04 | 上海博泰悦臻电子设备制造有限公司 | Method, mobile device, and computer-readable storage medium for generating insurance information |
| CN112750323A (en) * | 2019-10-30 | 2021-05-04 | 上海博泰悦臻电子设备制造有限公司 | Management method, apparatus and computer storage medium for vehicle safety |
| WO2021082276A1 (en) * | 2019-10-30 | 2021-05-06 | 上海博泰悦臻电子设备制造有限公司 | Method for generating insurance information, mobile device, and computer-readable storage medium |
| CN111028090A (en) * | 2019-11-29 | 2020-04-17 | 泰康保险集团股份有限公司 | Application data processing method and device, electronic equipment and storage medium |
| CN111016781A (en) * | 2019-12-09 | 2020-04-17 | 上海擎感智能科技有限公司 | Vehicle control method, vehicle-mounted terminal and computer storage medium |
| CN113553502A (en) * | 2021-07-05 | 2021-10-26 | 上海优咔网络科技有限公司 | Personalized insurance recommendation method based on intelligent travel scene engine |
| CN116777530A (en) * | 2023-08-23 | 2023-09-19 | 山东四季汽车服务有限公司 | Automobile service system based on intelligent recommendation |
| CN116777530B (en) * | 2023-08-23 | 2023-11-07 | 山东四季汽车服务有限公司 | Automobile service system based on intelligent recommendation |
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