CN106406287A - Method and system for vehicle safety state monitoring and early warning - Google Patents
Method and system for vehicle safety state monitoring and early warning Download PDFInfo
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- CN106406287A CN106406287A CN201610982060.7A CN201610982060A CN106406287A CN 106406287 A CN106406287 A CN 106406287A CN 201610982060 A CN201610982060 A CN 201610982060A CN 106406287 A CN106406287 A CN 106406287A
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- 238000010224 classification analysis Methods 0.000 claims description 13
- 239000003921 oil Substances 0.000 claims description 10
- 239000000446 fuel Substances 0.000 claims description 5
- 239000010721 machine oil Substances 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
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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
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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Abstract
The invention relates to the technical filed of vehicle safety monitoring, and provides a method and a system for vehicle safety state monitoring and early warning. The method comprises steps: a vehicle fault information classification state model is pre-generated; vehicle driving state parameters sent by a terminal device arranged on each vehicle are received continuously and in real time; according to the pre-generated vehicle fault information classification state model, the received vehicle driving state parameters are classified and analyzed, and vehicle state parameter classification information is acquired; vehicle fault information corresponding to the vehicle state parameter classification information and the fault happening possibility are acquired, and an early warning instruction is thus generated; and the generated early warning instruction is pushed to the terminal device arranged on the vehicle or an owner user mobile phone terminal, and early warning and reminding are carried out. Thus, advanced early warning on hidden fault of a driving vehicle can be realized, a guiding suggestion for solving the fault problem is provided for the vehicle user and convenience is provided for the vehicle user.
Description
Technical field
The present invention relates to automotive safety monitoring technology field, specially a kind of vehicle safety condition monitoring method for early warning and be
System.
Background technology
With scientific and technological progress and people for trip requirements change, automobile more and more enters into huge numbers of families, walks
Upper road.More and more with vehicle fleet size, road conditions become increasingly complex, and vehicle failure monitoring just becomes to automotive safety
One guarantee travelling.
At present, vehicle failure detection can only detection based on 4S shop it is impossible to accomplish to give warning in advance, can only fault occur after again
Process, this processing mode also is difficult to evaluate the failure problems leading to due to driver's operating habit, or use normal
The failure problems occurring in the time limit.
Content of the invention
In order to overcome the defect of prior art as indicated above, the present inventor has made intensive studies to this, is paying
After a large amount of creative works, thus complete the present invention.
Specifically, the technical problem to be solved is:A kind of vehicle safety condition monitoring method for early warning is provided,
To solve cannot give warning in advance in prior art, can only fault occur after reprocess the technical problem of maintenance.
For solving above-mentioned technical problem, the technical scheme is that:
A kind of vehicle safety condition monitoring method for early warning, methods described comprises the steps:
Previously generate vehicle trouble messages classification state model, described vehicle trouble messages classification state model includes car
Several classification informations of fault and the probability that this fault occurs under each classification information;
Real-time continuous receive the vehicle running state parameter that the terminal unit being arranged on each vehicle sends, described vehicle
Transport condition parameter obtains from vehicle OBD interface;
According to the vehicle trouble messages classification state model previously generating, the vehicle running state parameter receiving is carried out
Classification analysises, obtain described vehicle status parameters classification information;
Obtain the corresponding vehicle trouble messages of described vehicle status parameters classification information and the probability that this fault occurs, and
Alarm command is generated with this;
It is pushed to generating alarm command in the terminal unit being arranged on vehicle or car owner's user mobile phone terminal, carry out pre-
Alert prompting.
As a kind of improved plan, described previously generate vehicle trouble messages classification state model, described vehicle trouble
Information classification state model includes several classification informations of vehicle trouble and this event occurs under each classification information
The step of the probability of barrier specifically includes following step:
Obtain the various vehicle trouble messages of all user's vehicles;
Receive the vehicle running state ginseng that the terminal unit being arranged on user's vehicle of each generation vehicle trouble sends
Number;
Described vehicle running state parameter is carried out with mark of classifying, obtains the vehicle producing corresponding to vehicle trouble and travel shape
The classification information of state parameter, and there is the probability of described vehicle trouble in the parameters stage of vehicle running state parameter;
According to described vehicle trouble, the classification information of vehicle running state parameter and vehicle under each classification information
Fault rate, generates vehicle trouble messages classification state model.
As a kind of improved plan, the acquisition modes of described vehicle trouble messages include terminal unit and detect and automatically
Vehicle trouble messages, the vehicle trouble messages of terminal unit car owner's user feedback and the third party official platform uploading provides
Vehicle trouble messages.
As a kind of improved plan, described vehicle running state parameter includes engine speed, Vehicle Speed, car
Oil consumption, vehicle max-power-output speed, oil pressure, water temperature, engine temperature, tire pressure, machine oil viscosity, fuel efficiency and fault
Code.
Another object of the present invention is to providing a kind of vehicle safety condition monitoring early warning system, described system includes:
Classification state model generation module, is used for previously generating vehicle trouble messages classification state model, described vehicle event
Barrier information classification state model includes several classification informations of vehicle trouble and occurs to be somebody's turn to do under each classification information
The probability of fault;
Vehicle running state parameter continues receiver module, receives, for real-time continuous, the terminal being arranged on each vehicle and sets
The vehicle running state parameter that preparation is sent, described vehicle running state parameter obtains from vehicle OBD interface;
Classification analysises module, for according to the vehicle trouble messages classification state model previously generating, to the car receiving
Transport condition parameter carries out classification analysises, obtains described vehicle status parameters classification information;
Alarm command generation module, for obtain the corresponding vehicle trouble messages of described vehicle status parameters classification information with
And the probability of this fault occurs, and alarm command is generated with this;
Alarm command push prompting module, for by generate alarm command be pushed to the terminal unit being arranged on vehicle or
In car owner's user mobile phone terminal, carry out early warning prompting.
As a kind of improved plan, described classification state model generation module specifically includes:
Vehicle trouble messages acquisition module, for obtaining the various vehicle trouble messages of all user's vehicles;
Vehicle running state parameter receiver module, for receiving on the user's vehicle being arranged on each generation vehicle trouble
The vehicle running state parameter that terminal unit sends;
Classification mark module, for described vehicle running state parameter is carried out with mark of classifying, obtains and produces vehicle trouble
The classification information of corresponding vehicle running state parameter, and there is institute in the parameters stage of vehicle running state parameter
State the probability of vehicle trouble;
Model building module, for according to described vehicle trouble, the classification information of vehicle running state parameter and every
Vehicle fault rate under one classification information, sets up vehicle trouble messages classification state model.
As a kind of improved plan, the acquisition modes of described vehicle trouble messages include terminal unit and detect and automatically
Vehicle trouble messages, the vehicle trouble messages of terminal unit car owner's user feedback and the third party official platform uploading provides
Vehicle trouble messages.
As a kind of improved plan, described vehicle running state parameter includes engine speed, Vehicle Speed, car
Oil consumption, vehicle max-power-output speed, oil pressure, water temperature, engine temperature, tire pressure, machine oil viscosity, fuel efficiency and fault
Code.
After employing technique scheme, the invention has the beneficial effects as follows:
Previously generate vehicle trouble messages classification state model;Real-time continuous receive the terminal being arranged on each vehicle and set
The vehicle running state parameter that preparation is sent;According to the vehicle trouble messages classification state model previously generating, to the car receiving
Transport condition parameter carries out classification analysises, obtains vehicle status parameters classification information;Obtain described vehicle status parameters classification
The corresponding vehicle trouble messages of information and the probability that this fault occurs, and alarm command is generated with this;Alarm command will be generated
It is pushed in the terminal unit being arranged on vehicle or car owner's user mobile phone terminal, carries out early warning prompting, realize to driving vehicle
Giving warning in advance of incipient fault, provides the guiding suggestion solving failure problems, provides facility to vehicle user for vehicle user.
Brief description
Fig. 1 is the flowchart of the vehicle safety condition monitoring method for early warning that the present invention provides;
Fig. 2 is the flowchart previously generating vehicle trouble messages classification state model that the present invention provides;
Fig. 3 is the structured flowchart of the vehicle safety condition monitoring early warning system that the present invention provides.
Specific embodiment
With reference to specific embodiment, the present invention is further described.But the purposes of these exemplary embodiments and mesh
Be only used for enumerate the present invention, not the real protection scope of the present invention is constituted with any type of any restriction, more non-incite somebody to action this
The protection domain of invention is confined to this.
Fig. 1 shows the flowchart of the vehicle safety condition monitoring method for early warning that the present invention provides, and it specifically includes
Following step:
In step S101, previously generate vehicle trouble messages classification state model, described vehicle trouble messages classification shape
States model includes several classification informations of vehicle trouble and the probability that this fault occurs under each classification information.
In step s 102, real-time continuous receive the vehicle running state that the terminal unit being arranged on each vehicle sends
Parameter, described vehicle running state parameter obtains from vehicle OBD interface.
In this step, it is the real-time state of persistence for the acquisition of vehicle running state parameter, for example every 1 second
Gather once, continuous collecting;
This information gathering is to be realized by OBD interface, and then in OBD interface installing terminal equipment, this terminal unit is
It is the various driving boxes matching with vehicle, it is mainly used in obtaining vehicle running state parameter, Ran Houtong by OBD interface
The host-host protocol crossing agreement is uploaded to cloud platform, completes the collection of vehicle running state parameter;
Wherein, vehicle running state parameter includes but is not limited to engine speed, Vehicle Speed, vehicle oil consumption, car
Max-power-output speed, oil pressure, water temperature, engine temperature, tire pressure, machine oil viscosity, fuel efficiency and DTC.
In step s 103, according to the vehicle trouble messages classification state model previously generating, to the vehicle row receiving
Sail state parameter and carry out classification analysises, obtain described vehicle status parameters classification information.
In this step, several vehicle running state parameters persistently receiving are carried out sorting algorithm classification analysises,
Obtain the corresponding classification information of vehicle running state parameter.
In step S104, obtain the corresponding vehicle trouble messages of described vehicle status parameters classification information and occur to be somebody's turn to do
The probability of fault, and alarm command is generated with this.
In this step, alarm command comprises vehicle fault message that may be present and the probability that this fault occurs.Example
As:You are good for * car owner, and your vehicle presently, there are * * * fault, and probability of happening is * * %, woulds you please process in time, thanks.
In step S105, it is pushed to the terminal unit being arranged on vehicle or car owner's user mobile phone by generating alarm command
In terminal, carry out early warning prompting.
In this step, alarm command is pushed on terminal unit or user terminal, reminds car owner user to enter in time
Row fault clearance or inspection or maintenance or maintaining item.
Fig. 2 show provided in an embodiment of the present invention previously generate vehicle trouble messages classify state model realize flow process
Figure, it specifically includes following step:
In step s 201, the various vehicle trouble messages of all user's vehicles are obtained.
In this step, the acquisition modes of vehicle trouble messages including but not limited to terminal unit detects and automatically uploads
Vehicle trouble messages, the vehicle that provides of the vehicle trouble messages of terminal unit car owner's user feedback and third party official platform
Fault message.
In step S202, receive the car that the terminal unit being arranged on user's vehicle of each generation vehicle trouble sends
Transport condition parameter.
Mode in this vehicle running state parameter acquiring mode such as above-mentioned steps S102 is identical, will not be described here.
In step S203, described vehicle running state parameter is carried out with mark of classifying, obtain generation vehicle trouble institute right
The classification information of the vehicle running state parameter answered, and there is described car in the parameters stage of vehicle running state parameter
The probability of fault.
In step S204, according to described vehicle trouble, the classification information of vehicle running state parameter and at each
Vehicle fault rate under classification information, generates vehicle trouble messages classification state model.
In this step, this vehicle trouble messages classification state model unique Russia lattice real-time update, study is perfect in time
Model, with the continuous collection of vehicle running state parameter, the degree of perfection of this vehicle trouble messages classification state model and standard
Really degree is more powerful, will not be described here.
In this embodiment, in above-mentioned steps S202, the quantity of the vehicle running state parameter of collection can be according to actual
Needs are chosen and are arranged, such as 10,000 data, or 100,000 data, the basic number of its effect early stage vehicle classification study
According to it is implemented as:
With terminal unit is installed vehicle as key central, by the fault message of this vehicle and vehicle running state parameter
Carry out coupling association, the vehicle running state parameter belonging to same class fault is divided into an apoplexy due to endogenous wind, then in same class
The vehicle-state corresponding to vehicle running state parameter of different phase is analyzed confirming, confirms vehicle running state parameter
The probability that corresponding vehicle trouble and vehicle break down, then sets up above-mentioned vehicle trouble messages classification state model, deposits
Store up on platform.
In embodiments of the present invention, after having executed above-mentioned steps S103, before step S104, also individual time judgement
Process, that is, when vehicle running state parameter is detected abnormal occurring, will not directly remind user, Er Qiejing in the very first time
Spend a time delay, follow-up continuation carries out classification analysises to the vehicle running state parameter receiving, if or fault shape
State, then execution step S104, otherwise then continue to vehicle running state parameter, continue classification analysises.
In embodiments of the present invention, car owner user is provided with more preferable early warning and safeguards service in order to further, permissible
Arranged as follows:
(1) after collecting vehicle running state parameter, during the analysis of vehicle running state parametric classification, also extra
Form driving habit parameter, this driving habit parameter characterization goes out the poorly efficient custom that driver drives vehicle, is included in above-mentioned early warning
It is pushed to user in instruction in the lump, realize the understanding to user's driving habit and adjustment;
(2) after collecting vehicle running state parameter, during the analysis of vehicle running state parametric classification, also extra
Form vehicle running environment parameter, this vehicle running environment parameter is used for characterizing road conditions that vehicle ought travel for the previous period etc.,
It is included in above-mentioned alarm command and is pushed to user in the lump, play the effect of prompting;
(3) after collecting vehicle running state parameter, during the analysis of vehicle running state parametric classification, also extra
Form maintenance overhaul area information, this maintenance overhaul area information is included in above-mentioned alarm command in the lump, point out user current
Nearest or conveniently vehicle inspection region, so that car owner carries out failture evacuation and maintenance to vehicle.
Above-mentioned be only given several for the content giving warning in advance is played to car owner, will not be described here.
Fig. 3 shows the structured flowchart of the vehicle safety condition monitoring early warning system that the present invention provides, for convenience of description,
In figure only gives the part related to the embodiment of the present invention.
Classification state model generation module 11 is used for previously generating vehicle trouble messages classification state model, described vehicle event
Barrier information classification state model includes several classification informations of vehicle trouble and occurs to be somebody's turn to do under each classification information
The probability of fault;
Vehicle running state parameter continues receiver module 12 and receives, for real-time continuous, the terminal being arranged on each vehicle
The vehicle running state parameter that equipment sends, described vehicle running state parameter obtains from vehicle OBD interface;
Classification analysises module 13 is used for according to the vehicle trouble messages classification state model previously generating, to the car receiving
Transport condition parameter carries out classification analysises, obtains described vehicle status parameters classification information;
Alarm command generation module 14 is used for obtaining the corresponding vehicle trouble messages of described vehicle status parameters classification information
And the probability of this fault occurs, and alarm command is generated with this;
Alarm command pushes prompting module 15 and is used for being pushed to, by generating alarm command, the terminal unit being arranged on vehicle
Or in car owner's user mobile phone terminal, carry out early warning prompting.
Wherein, described classification state model generation module 11 specifically includes:
Vehicle trouble messages acquisition module 16 is used for obtaining the various vehicle trouble messages of all user's vehicles;
Vehicle running state parameter receiver module 17 is used for receiving the user's vehicle being arranged on each and vehicle trouble occurring
Terminal unit send vehicle running state parameter;
Classification mark module 18 is used for carrying out, to described vehicle running state parameter, mark of classifying, and obtains and produces vehicle trouble
The classification information of corresponding vehicle running state parameter, and there is institute in the parameters stage of vehicle running state parameter
State the probability of vehicle trouble;
Model building module 19 is used for according to described vehicle trouble, the classification information of vehicle running state parameter and every
Vehicle fault rate under one classification information, sets up vehicle trouble messages classification state model
Wherein, the implementing as described in above-mentioned embodiment of the method for above-mentioned modules, will not be described here.
In embodiments of the present invention, previously generate vehicle trouble messages classification state model;Real-time continuous receive and are arranged on
The vehicle running state parameter that terminal unit on each vehicle sends;According to the vehicle trouble messages classification state previously generating
Model, carries out classification analysises to the vehicle running state parameter receiving, and obtains vehicle status parameters classification information;Obtain described
The corresponding vehicle trouble messages of vehicle status parameters classification information and the probability that this fault occurs, and early warning is generated with this refer to
Order;It is pushed to generating alarm command in the terminal unit being arranged on vehicle or car owner's user mobile phone terminal, carry out early warning and carry
Wake up, realize driving vehicle incipient fault is given warning in advance, provide, for vehicle user, the guiding suggestion solving failure problems, give
Vehicle user provides facility, also can change the driving habit of user simultaneously, improves the service life of automobile.
It should be appreciated that the purposes of these embodiments is merely to illustrate the present invention and is not intended to limit the protection model of the present invention
Enclose.Additionally, it will also be appreciated that after the technology contents having read the present invention, those skilled in the art can make each to the present invention
Plant and change, change and/or modification, all these equivalent form of value equally falls within the guarantor that the application appended claims are limited
Within the scope of shield.
Claims (8)
1. a kind of vehicle safety condition monitoring method for early warning is it is characterised in that methods described comprises the steps:
Previously generate vehicle trouble messages classification state model, described vehicle trouble messages classification state model includes vehicle event
Several classification informations of barrier and the probability that this fault occurs under each classification information;
Real-time continuous receive the vehicle running state parameter that the terminal unit being arranged on each vehicle sends, and described vehicle travels
State parameter obtains from vehicle OBD interface;
According to the vehicle trouble messages classification state model previously generating, the vehicle running state parameter receiving is classified
Analysis, obtains described vehicle status parameters classification information;
Obtain the corresponding vehicle trouble messages of described vehicle status parameters classification information and the probability that this fault occurs, and with this
Generate alarm command;It is pushed to generating alarm command in the terminal unit being arranged on vehicle or car owner's user mobile phone terminal,
Carry out early warning prompting.
2. automotive safety status monitoring method for early warning according to claim 1 is it is characterised in that described previously generate vehicle
Fault message classification state model, described vehicle trouble messages classification state model includes several classification letters of vehicle trouble
Cease and occur under each classification information the step of the probability of this fault to specifically include following step:
Obtain the various vehicle trouble messages of all user's vehicles;
Receive the vehicle running state parameter that the terminal unit being arranged on user's vehicle of each generation vehicle trouble sends;
Described vehicle running state parameter is carried out with mark of classifying, obtains the vehicle running state ginseng producing corresponding to vehicle trouble
The classification information of number, and there is the probability of described vehicle trouble in the parameters stage of vehicle running state parameter;
According to described vehicle trouble, the classification information of vehicle running state parameter and vehicle trouble under each classification information
Probability of happening, sets up vehicle trouble messages classification state model.
3. vehicle safety condition monitoring method for early warning according to claim 2 is it is characterised in that described vehicle trouble messages
Acquisition modes include vehicle trouble messages, the car of terminal unit car owner's user feedback that terminal unit detects and automatically uploads
The vehicle trouble messages that fault message and third party official platform provide.
4. the vehicle safety condition monitoring method for early warning according to any one of claims 1 to 3 is it is characterised in that described car
Transport condition parameter includes engine speed, Vehicle Speed, vehicle oil consumption, vehicle max-power-output speed, oil pressure, water
Temperature, engine temperature, tire pressure, machine oil viscosity, fuel efficiency and DTC.
5. a kind of vehicle safety condition monitoring early warning system is it is characterised in that described system includes:
Classification state model generation module, is used for previously generating vehicle trouble messages classification state model, described vehicle trouble letter
Breath classification state model includes several classification informations of vehicle trouble and this fault occurs under each classification information
Probability;
Vehicle running state parameter continues receiver module, receives, for real-time continuous, the terminal unit being arranged on each vehicle and sends out
The vehicle running state parameter sent, described vehicle running state parameter obtains from vehicle OBD interface;
Classification analysises module, for according to the vehicle trouble messages classification state model previously generating, to the vehicle row receiving
Sail state parameter and carry out classification analysises, obtain described vehicle status parameters classification information;
Alarm command generation module, for obtaining the corresponding vehicle trouble messages of described vehicle status parameters classification information and sending out
The probability of this fault raw, and alarm command is generated with this;
Alarm command pushes prompting module, for being pushed to the terminal unit being arranged on vehicle or car owner by generating alarm command
In user mobile phone terminal, carry out early warning prompting.
6. automotive safety status monitoring early warning system according to claim 5 is it is characterised in that described classification state model
Generation module specifically includes:
Vehicle trouble messages acquisition module, for obtaining the various vehicle trouble messages of all user's vehicles;
Vehicle running state parameter receiver module, for receiving the terminal being arranged on user's vehicle of each generation vehicle trouble
The vehicle running state parameter that equipment sends;
Classification mark module, for described vehicle running state parameter is carried out with mark of classifying, obtains generation vehicle trouble institute right
The classification information of the vehicle running state parameter answered, and there is described car in the parameters stage of vehicle running state parameter
The probability of fault;
Model building module, for according to described vehicle trouble, the classification information of vehicle running state parameter and at each
Vehicle fault rate under classification information, sets up vehicle trouble messages classification state model.
7. vehicle safety condition monitoring early warning system according to claim 6 is it is characterised in that described vehicle trouble messages
Acquisition modes include vehicle trouble messages, the car of terminal unit car owner's user feedback that terminal unit detects and automatically uploads
The vehicle trouble messages that fault message and third party official platform provide.
8. the vehicle safety condition monitoring early warning system according to any one of claim 5 to 7 is it is characterised in that described car
Transport condition parameter includes engine speed, Vehicle Speed, vehicle oil consumption, vehicle max-power-output speed, oil pressure, water
Temperature, engine temperature, tire pressure, machine oil viscosity, fuel efficiency and DTC.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106828362A (en) * | 2017-02-20 | 2017-06-13 | 北京奇虎科技有限公司 | The safety detecting method and device of automobile information |
| CN106875724A (en) * | 2017-03-20 | 2017-06-20 | 九九九空中救护有限公司 | The processing method of car accident, method and rescue system that rescue service is provided |
| CN106935049A (en) * | 2017-04-27 | 2017-07-07 | 上海博历机械科技有限公司 | A kind of intelligent vehicle early warning system |
| CN107539038A (en) * | 2017-06-06 | 2018-01-05 | 新华三技术有限公司 | A kind of vehicle tyre pressure method for monitoring state and device |
| CN107608270A (en) * | 2017-09-30 | 2018-01-19 | 北京奇虎科技有限公司 | The analysis method and device of automotive performance |
| CN108225781A (en) * | 2017-12-18 | 2018-06-29 | 思建科技有限公司 | A kind of travel condition of vehicle method for early warning, server and car-mounted terminal |
| CN109204195A (en) * | 2018-11-08 | 2019-01-15 | 王超 | A kind of vehicle status data method for real-time monitoring, apparatus and system for Automobile Service |
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| CN110337394A (en) * | 2017-02-23 | 2019-10-15 | 松下知识产权经营株式会社 | Information processing system, information processing method, program and recording medium |
| CN110389572A (en) * | 2018-04-23 | 2019-10-29 | 上海博泰悦臻电子设备制造有限公司 | Vehicle part failure gives warning in advance method, system and server |
| CN110533794A (en) * | 2019-08-30 | 2019-12-03 | 珠海小可乐科技有限公司 | Vehicle risk management method, computer installation and computer readable storage medium |
| CN112328970A (en) * | 2020-11-05 | 2021-02-05 | 深圳壹账通智能科技有限公司 | Accident prediction method and system based on vehicle performance parameters |
| CN112558592A (en) * | 2020-12-25 | 2021-03-26 | 浙江吉利控股集团有限公司 | Vehicle fault prediction method and system and vehicle |
| CN113888775A (en) * | 2020-06-19 | 2022-01-04 | 比亚迪股份有限公司 | Vehicle warning method, server, storage medium, vehicle warning system and vehicle |
| CN115359585A (en) * | 2022-08-24 | 2022-11-18 | 奇瑞汽车股份有限公司 | Method and device for troubleshooting vehicle in advance, vehicle and storage medium |
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