CN107346565B

CN107346565B - Vehicle data processing method and device and terminal equipment

Info

Publication number: CN107346565B
Application number: CN201610290856.6A
Authority: CN
Inventors: 张稚迅
Original assignee: Zebra Network Technology Co Ltd
Current assignee: Zebra Network Technology Co Ltd
Priority date: 2016-05-04
Filing date: 2016-05-04
Publication date: 2020-09-22
Anticipated expiration: 2036-05-04
Also published as: CN107346565A; TW201741976A; WO2017190595A1

Abstract

The embodiment of the application provides a vehicle data processing method, a vehicle data processing device and terminal equipment, so that a vehicle maintenance suggestion is accurately provided. The method comprises the following steps: determining usage status information of the vehicle from vehicle data, the vehicle data including at least one of: travel track data, vehicle-related data; and determining a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle. Therefore, the method generates a targeted maintenance proposal for the vehicle and improves the accuracy of the proposal.

Description

Vehicle data processing method and device and terminal equipment

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a vehicle data processing method, a vehicle data processing apparatus, and a terminal device.

Background

Vehicles in the narrow sense refer to all artificial devices for human mobility or transportation, such as: bicycles, automobiles, motorcycles, trains, ships, aircraft, and the like. A vehicle is an indispensable part of modern social life, and for example, a user may travel by car, train, plane, or the like. Vehicles are generally composed of a series of components, each of which has a useful life

Vehicle maintenance refers to preventive work for regularly inspecting, cleaning, replenishing, lubricating, adjusting or replacing some parts of a relevant part of a vehicle, and is also called automobile maintenance. The purpose of vehicle maintenance is to keep the vehicle clean and tidy, the technical condition is normal, eliminate hidden danger, prevent failure, slow down the deterioration process, prolong the service life and the like. Therefore, vehicle maintenance is extremely important to the daily driving safety of the vehicle,

vehicle maintenance mainly includes the range of maintenance for engine systems (engines), transmission systems, air conditioning systems, cooling systems, fuel systems, power steering systems, and the like. A common way of vehicle maintenance is to set a maintenance countdown from both mileage/time dimensions to remind the user to perform vehicle maintenance based on the manufacturer-defined accessory life.

However, there is a possibility that the driving behavior of the driver and the actual use condition of the vehicle are different, and maintenance is prompted when maintenance is not necessary, but is not prompted when maintenance is necessary.

Therefore, one technical problem that needs to be urgently solved by those skilled in the art is: a vehicle data processing method and apparatus are provided to improve the accuracy of vehicle maintenance recommendations.

Disclosure of Invention

The technical problem to be solved by the embodiments of the present application is to provide a vehicle data processing method to improve the accuracy of a vehicle maintenance recommendation.

Correspondingly, the embodiment of the application also provides a vehicle data processing device and a terminal device, which are used for ensuring the realization and application of the method.

In order to solve the above problem, an embodiment of the present application discloses a vehicle data processing method, including: determining usage status information of the vehicle from vehicle data, the vehicle data including at least one of: travel track data, vehicle-related data; and determining a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle.

The embodiment of the application also discloses a vehicle data processing device, which comprises: a state determination module for determining usage state information of the vehicle based on vehicle data, the vehicle data including at least one of: travel track data, vehicle-related data; and the maintenance suggestion generation module is used for determining the maintenance suggestion of the accessory of the vehicle according to the use state information and the maintenance configuration information of the vehicle.

The embodiment of the application further discloses a terminal device, which includes: one or more processors; a memory; and one or more modules stored in the memory and configured to be executed by the one or more processors, wherein the one or more modules are configured to perform the method of embodiments of the present application.

The embodiment of the application further discloses a terminal device, which includes: an input device and a processor; the input device is used for receiving vehicle data of a vehicle; the processor, coupled to the input device, is configured to determine the usage state information of the vehicle according to the vehicle data, determine a maintenance recommendation for an accessory of the vehicle according to the usage state information of the vehicle and the maintenance configuration information, the vehicle data including at least one of: travel track data, vehicle-related data.

The embodiment of the application also discloses a control device for a vehicle, which is characterized by comprising: an onboard input device and an onboard processor; an onboard input device for receiving vehicle data for a vehicle; an onboard processor coupled to the onboard input device for determining the vehicle usage status information based on the vehicle data, and determining a maintenance recommendation for an accessory of the vehicle based on the vehicle usage status information and maintenance configuration information, the vehicle data including at least one of: travel track data, vehicle-related data.

The embodiment of the application also discloses a vehicle-mounted internet operating system, including: an input device control unit that controls the in-vehicle input device to receive vehicle data of a vehicle; a maintenance determining unit, which determines the using state information of the vehicle according to the vehicle data, and determines the maintenance suggestion of the accessory of the vehicle according to the using state information of the vehicle and the maintenance configuration information, wherein the vehicle data comprises at least one of the following: travel track data, vehicle-related data; and the output equipment control unit is used for controlling the vehicle-mounted output equipment to output the maintenance suggestion determined by the maintenance determination unit.

Compared with the prior art, the embodiment of the application has the following advantages:

in an embodiment of the application, the vehicle data comprises, in dependence on the vehicle data, at least one of: the method comprises the steps of determining use state information of a vehicle according to travel track data and vehicle related data so as to analyze actual behaviors of the vehicle and determine actual loss conditions of the vehicle, and determining maintenance suggestions of accessories of the vehicle according to the use state information of the vehicle and maintenance configuration information, so that targeted maintenance suggestions for the vehicle are generated, and accuracy of the suggestions is improved.

Drawings

FIG. 1 is a flow chart of steps of an embodiment of a vehicle data processing method of the present application;

FIG. 2 is a flowchart illustrating steps of an embodiment of a method for processing health care configuration information according to the present application;

FIG. 3 is a flow chart of steps of another vehicle data processing method embodiment of the present application;

FIG. 4 is a flow chart of the steps of accessory weight calculation in another vehicle data processing method embodiment of the present application;

FIG. 5 is a block diagram of an embodiment of a vehicle data processing apparatus of the present application;

FIG. 6 is a block diagram of another embodiment of a vehicle data processing apparatus of the present application;

fig. 7 is a schematic hardware structure diagram of a terminal device according to an embodiment of the present application;

fig. 8 is a schematic hardware structure diagram of a terminal device according to another embodiment of the present application;

fig. 9 is a schematic diagram of an in-vehicle internet operating system of the present application.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.

One of the core ideas of the embodiment of the application is to provide a vehicle data processing method and a vehicle data processing device so as to accurately provide a vehicle maintenance suggestion. The method comprises the steps of determining the use state information of the vehicle according to vehicle data, analyzing the actual behavior of the vehicle to determine the actual loss condition of the vehicle, and determining a maintenance suggestion of accessories of the vehicle according to the use state information of the vehicle and maintenance configuration information, so that a targeted maintenance suggestion for the vehicle is generated, and the accuracy of the suggestion is improved.

The vehicle according to the embodiment of the present invention may be any vehicle, and may be other vehicles having corresponding control functions. For the vehicle, for example, an internal combustion engine automobile, an electric automobile, a gas circuit automobile, an oil-gas hybrid automobile, an oil-electricity hybrid automobile, a motorcycle, an electric power-assisted vehicle, an electric balance car, a remote control vehicle, and various modifications are possible; other vehicles with corresponding control functions may be, for example, small aircraft (e.g., unmanned aircraft, manned small aircraft), yachts, and variations thereof.

Example one

Referring to fig. 1, a flowchart illustrating steps of an embodiment of a vehicle data processing method according to the present application is shown, which may specifically include the following steps:

step 102, determining the use state information of the vehicle according to the vehicle data.

And 104, determining a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle.

The maintenance of the vehicle can eliminate hidden troubles, prevent faults, slow down the degradation process, prolong the service life and the like. However, the user of the vehicle often does not know when maintenance is necessary, and therefore, the user of the vehicle needs to be prompted for maintenance in time.

The embodiment presets maintenance configuration information which is used for determining maintenance suggestions of accessories in the vehicle, so that the service life of the accessories of the vehicle is calculated through the maintenance configuration information and corresponding maintenance suggestions are provided. Wherein the fitting comprises a part or a component of the assembly machine.

In this embodiment, vehicle-related vehicle data is collected, the vehicle data including at least one of: the vehicle-mounted navigation system comprises driving track data and vehicle-related data, wherein the driving track data are positioning data of a driving track of a vehicle, for example, the driving track data comprise geographical position data of track points in the driving track, and the positioning data can be acquired by vehicles such as automobiles through a GPS (global positioning system) and the like. The vehicle-related data is various data related to the vehicle, such as data of sensors in the vehicle, traveling weather data, and the like, which affect the vehicle. The vehicle data is then analyzed to determine the usage state information of the vehicle, for example, the vehicle data is used to analyze the vehicle-related information, and the usage state information of the vehicle is determined, and the usage state information of the vehicle is used to describe the wear condition of vehicle accessories, such as the wear of environment to various accessories, the wear of road to accessories, and the like.

And then matching the use state information of the vehicle with the maintenance configuration information, determining the use condition of the accessories in the vehicle, and giving a maintenance suggestion of the accessories. For example, assuming that the brake system of the vehicle is recommended to be repaired every 8 months, while the vehicle of the user is frequently driven in a congested city and the user is accustomed to sudden braking, it is determined that the user needs to repair the brake system within 2 months according to the correspondingly generated use state information and maintenance configuration information, and it is recommended to be repaired every half year thereafter. For another example, assuming that the storage battery (also called storage battery) of the electric bicycle is recommended to be replaced every year, the user uses the electric bicycle to go to work every day, the user charges the storage battery (also called storage battery) of the electric bicycle every night, the charging time is about 10 hours each time, the storage battery is used for about 8 months, the storage capacity is less than 60%, the storage battery of the user is determined to be replaced according to the correspondingly generated use state information and maintenance configuration information, and the charging time of the storage battery is recommended to be not more than 8 hours each time.

In this embodiment, the maintenance configuration information may be configured to correspond to a virtual mathematical model, which is called an accessory life calculation model, and the accessory life calculation model may be used to perform model matching on the vehicle use state information, to determine a maintenance recommendation of the vehicle, that is, the loss of each accessory represented by the vehicle use state information is matched with the maintenance configuration information to determine the use condition of each accessory, whether maintenance is needed, and the like, so as to generate a corresponding maintenance recommendation, where the maintenance recommendation may include a maintenance recommendation of each accessory of the vehicle, for example, maintenance is needed for an oil filter in an automobile, such as battery replacement time of a battery car. The mathematical model may be one or a set of algebraic, differential, integral or statistical equations, and combinations thereof, which quantitatively or qualitatively describe the interrelationship or causal relationship between the system variables. In addition to mathematical models described by equations, there are also models described by other mathematical tools, such as algebra, geometry, topology, mathematical logic, etc. Mathematical models describe the behavior and characteristics of a system rather than the actual structure of the system.

In summary, the use state information of the vehicle is determined according to the vehicle data, so that the actual behavior of the vehicle is analyzed to determine the actual loss condition of the vehicle, and then the maintenance advice of the accessories of the vehicle is determined according to the use state information of the vehicle and the maintenance configuration information, so that the targeted maintenance advice for the vehicle is generated, and the accuracy of the advice is improved.

Example two

On the basis of the above embodiments, the present embodiment discusses in detail the service recommendations for the various vehicle accessories. Wherein the vehicle maintenance recommendation is generated using one or more hardware devices.

In an optional embodiment of the present application, the matching of the use condition analysis and the maintenance advice of the vehicle may be implemented by a cloud device such as a server, or the matching of the use condition analysis and the maintenance advice of the vehicle may be implemented by a terminal device of the vehicle. For example, the vehicle data is uploaded and the maintenance advice is received through the terminal device of the vehicle, which may be an intelligent mobile device, a vehicle-mounted device, or other devices capable of receiving data. The terminal device is configured to receive an input indicative of a vehicle record. The vehicle record comprises vehicle data such as driving track data of a vehicle, how a driver drives, historical accessory maintenance records, the vehicle data are sent to a cloud end through the terminal device, the cloud end analyzes according to the received vehicle data, and advice and alarm information and the like of the vehicle needing maintenance are fed back to the terminal device. The alarm information is used for prompting the maintenance and repair of the vehicle. Therefore, the suggestion that the vehicle needs to be maintained and repaired is sent to the driver by combining the driving habits of users such as car owners and the driving use condition of the vehicle, the driver can be reminded that the vehicle needs to be maintained and repaired in time, and the vehicle can be maintained and repaired as required.

In another optional embodiment of the present application, the terminal device may report the vehicle data to the server, the server performs the usage status analysis based on the vehicle data to determine the usage status information, and then feeds the usage status information of the vehicle back to the terminal device, and the terminal device inputs the usage status information of the vehicle into the maintenance configuration information to obtain corresponding maintenance suggestions, alarm information, and the like, so as to obtain the maintenance suggestions and the alarm information locally in time, thereby facilitating the timely maintenance and repair of the vehicle. Of course, it may also be considered that the terminal device local to the vehicle performs the usage state analysis and the model matching, determines the recommendation of maintenance and repair, the alarm information, and the like, and the embodiment of the present application is not limited thereto.

In an embodiment of the present application, the vehicle data includes: travel track data and vehicle-related data, the vehicle-related data including at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data.

The sensor data includes data of various sensors in the vehicle, wherein the sensors of the vehicle include a gyroscope and fault sensors corresponding to various accessories. The gyroscope is used for analyzing the using behavior of a driver, and the fault sensor is used for identifying whether the corresponding accessory is in fault. The built-in sensor can detect data of the vehicle to generate sensor data in the running process of the vehicle, wherein different sensor data can be obtained according to different vehicles and different built-in sensors.

The weather data is weather related data of a region where the vehicle is located, such as weather data in the driving process of the vehicle, weather can affect vehicle accessories, and weather has a great influence on the service life of the air conditioner filter. The corresponding travel time and the like may be determined based on the travel track data and the like, and then meteorological data such as temperature, rainfall, wind, air quality and the like at the corresponding time may be acquired from the web server.

The usage behavior data is the habitual usage behavior of the driver of the vehicle, for example, the driver often brakes suddenly and the brake system and the tires are affected. Information such as a change in acceleration may be determined by an in-vehicle system, a sensor, and the like, to determine whether a user has performed an action such as hard braking, and to determine whether to use for hard braking based on the frequency of hard braking.

The historical repair and maintenance data is historical repair record data of the vehicle, and may include historical repair data and historical maintenance data, such as repair time, repair items, whether to replace parts, repair time and items of the vehicle, and the like, and the repair record may be obtained through a 4S shop upload or a server of the vehicle, and the like, so as to determine the use and repair status of each part in the vehicle.

The service life influence on the accessories is comprehensively determined based on the vehicle data of various types, and a targeted maintenance suggestion is provided for each vehicle.

The maintenance recommendations are typically determined based on the vehicle usage status information and maintenance configuration information. Thus, the determination of the service recommendation may comprise at least two phases: 1. generating and optimizing maintenance configuration information; 2. service advice submission and feedback.

1. Generation and optimization of maintenance configuration information

In the embodiment of the application, the vehicles comprise various models, such as automobiles, airplanes and the like of various brands and various models, so that for the vehicles of different models, maintenance configuration information corresponding to the vehicles of different models can be configured due to different accessories.

Each vehicle can also have different accessories, for example, the aircraft includes accessories such as wings and landing gear, the automobile includes accessories such as storage battery, tire, engine, etc., and the specific types of the accessories corresponding to different vehicles are also different, so that maintenance configuration information corresponding to the accessories can be configured for each vehicle.

Due to differences of delivery time, purchase time, users, environments and the like, different use conditions of vehicles can be caused, and accessories can be affected differently, namely different use state characteristics can be achieved. For example, if automobiles of the same model run on mountains and roads respectively, the wear conditions of tires are different; the loss of the storage battery is different when the electric automobiles of the same model are frequently used and occasionally used. Thus, it is possible to configure the use status characteristics of each vehicle, which may be characteristics determined based on the use situation, different use status characteristics having different effects on accessories and the like. Corresponding maintenance configuration information may be generated based on the usage status characteristics.

The model, the accessory and the use state characteristics can be combined to obtain corresponding maintenance configuration information, so that the maintenance configuration information comprises maintenance configuration information aiming at different models and different accessories. The maintenance configuration information comprises maintenance configuration information corresponding to different models, different accessories and different use state characteristics.

Referring to fig. 2, a flowchart illustrating steps of an embodiment of a method for processing care configuration information according to the present application is shown, and specifically, the method may include the following steps:

in step 202, vehicle data corresponding to the vehicle is collected.

Feature values of desired vehicle features are extracted from each model of vehicle data, step 204.

In the embodiment of the application, maintenance configuration information can be preset, and when actual matching is carried out, historical data is adopted to optimize the maintenance configuration information in an off-line mode, so that the accuracy of maintenance suggestions is improved.

When the maintenance configuration information is generated and optimized, mass vehicle data can be collected in advance, namely, the vehicle data of various vehicles are collected from the whole network, wherein the vehicle data can be classified according to the types of the vehicles, so that data sets corresponding to the vehicles of various types are obtained or stored in the same data table, database and the like. And then, carrying out feature extraction on the vehicle data of each vehicle according to the model to obtain corresponding vehicle features. The vehicle features include: vehicle essential features and use status features.

For example, a large amount of vehicle data is collected from each vehicle connected to the server, wherein the vehicle data may be divided according to the model number of the vehicle, and for different types of vehicles such as airplanes, internal combustion engines, electric cars, and the like, the vehicle data of the vehicles is divided according to each model number under each type, and feature extraction is performed on the vehicle data, for example, feature extraction is performed on vehicle data collected from N vehicles of the same model.

The basic vehicle characteristics are used for describing basic vehicle information, and the corresponding characteristic values comprise vehicle types, purchase time and the like; the use state characteristics describe the actual use state of the vehicle, such as frequently traveled roads, weather, maintenance conditions, and the like. Thus, the usage status characteristics may include geographic travel characteristics, vehicle maintenance characteristics, environmental travel characteristics, and usage behavior characteristics. The driving geographic characteristic is used for describing the geographic position information of the vehicle, and the corresponding characteristic value comprises the type of a frequently-driven road, the region, whether the road is rugged and the like; the vehicle maintenance characteristic is used for describing historical maintenance information, and corresponding characteristic values comprise whether an overhauled record exists, whether each part is replaced according to time, the replacement time of the part and the like; the driving environment characteristics are used for describing environment information of vehicle driving, and corresponding characteristic values comprise air quality, temperature, air humidity and the like; the use behavior characteristics are used for describing use behavior information of the driver, and the corresponding characteristic values comprise whether the driver likes frequent and sudden braking, whether the single travel distance is less than 8 kilometers and the like.

The use state of the accessories of the vehicle can be determined according to the vehicle characteristics, each vehicle characteristic can correspond to one characteristic label, the use condition of the accessories can be determined by the vehicle characteristic combination of a plurality of characteristic labels, for example, the accessories are oil filters, the vehicle characteristics corresponding to the characteristic labels can comprise use behavior characteristics, driving geographic characteristics and the like, the corresponding characteristic values comprise whether sudden braking is frequent, whether the single-time driving distance is less than 8 kilometers frequently and the like, the accessories are air-conditioning filters, the vehicle characteristics corresponding to the characteristic labels can comprise driving environment characteristics, and the specific characteristic values comprise whether the environment in which the vehicle is located is high in pollution or not.

The maintenance configuration information may then be optimized based on the extracted vehicle characteristics. The maintenance configuration information can be analyzed according to the extracted vehicle characteristics, the accuracy of maintenance configuration information matching is determined through the vehicle characteristics, and the maintenance configuration information is optimized, so that updated maintenance configuration information is obtained. The method specifically comprises the following steps:

and step 206, matching the extracted vehicle characteristics with maintenance configuration information to determine a test suggestion result.

And 208, comparing the test suggestion result with the actual maintenance information, and optimizing the maintenance configuration information according to the comparison result.

The extracted vehicle features and maintenance configuration information are matched to obtain a test suggestion result, in this embodiment, an actual maintenance record of the vehicle may be screened to determine actual maintenance information, then the test suggestion result and the actual maintenance information are compared, and parameters in the maintenance configuration information, such as the weight of each accessory feature tag, are adjusted according to the comparison result, so that the maintenance configuration information is optimized. The maintenance configuration information optimization method includes various manners, such as a logistic regression manner for machine learning, a neural network manner, and the like, which is not limited in the embodiments of the present application.

The actual maintenance records can be screened based on the feedback of the system, the 4S shop and the like during the maintenance of the vehicle and the actual maintenance condition, for example, the maintenance is performed at the standard maintenance time a, but the system feedback actually can prolong the repair for 2 months, so that the maintenance records are inaccurate, and the records can be deleted, thereby screening the accurate actual maintenance records as the actual maintenance information.

For example, when a virtual accessory life calculation model is used, the model may be optimized by performing model training by a logistic regression method, that is, the vehicle characteristics of each vehicle as training data and other vehicles matching the vehicle characteristics, including vehicles having actual maintenance records, may be determined, and the other vehicles may be used as standard data to perform comparison. In the training process, the extracted characteristics of each vehicle can be subjected to statistical model training, namely, the characteristics of each vehicle are input into an accessory life calculation model to be subjected to model matching, and the matching result of each accessory is obtained. And matching the matching result with the actual maintenance records of other vehicles, verifying the weighted value of the service life calculation model of the part according to the matching result, and adjusting the weighted value to optimize the service life calculation model of the part, optimize the service life calculation model of the part and improve the matching accuracy of the service life calculation model of the part.

Therefore, the vehicle data corresponding to the vehicle are collected, the characteristics are extracted to determine the characteristics of the vehicle, and then the maintenance configuration information is determined based on the characteristics of the vehicle, the maintenance configuration information and the actual maintenance information, so that the accuracy of the maintenance configuration information is improved.

Taking a vehicle as an example, the vehicle corresponding maintenance configuration information generation and optimization may be performed as follows:

in an optional embodiment of the present invention, the method further includes a step of generating maintenance configuration information: and generating maintenance configuration information of the use state characteristics according to the use state characteristics of the vehicle and the actual maintenance information.

For the collected vehicle data of the vehicle, vehicle features, namely basic features and use state features of the vehicle, can be extracted from the vehicle data, and for the actual maintenance information, maintenance information of the vehicle in various actual use states can be described, so that the use state features and the actual maintenance information can be matched, maintenance conditions corresponding to various use states are determined, and maintenance configuration information of the use state features is generated. Before the maintenance configuration information is actually used or in the process of using the maintenance configuration information, the actual maintenance information can be continuously collected, and the maintenance configuration information is optimized through the actual maintenance information.

In another optional embodiment of the present invention, the method further includes a step of generating maintenance configuration information: and generating maintenance configuration information of each accessory and the use state characteristics according to the use state characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information.

In determining the maintenance configuration information, different vehicles may have different accessories, and different accessories have different losses in different use states, and different time and methods for maintenance are required, so the maintenance configuration information may also be maintenance configuration information for each accessory, and maintenance configuration information of the accessory in various use states. After the vehicle features of the vehicle are extracted, the accessories corresponding to and matched with the use state features can be determined, the maintenance information of each accessory in the use state features and the actual maintenance information is matched, and the maintenance condition of each accessory in various use states is determined, so that the maintenance configuration information of each accessory and the maintenance configuration information of the accessories in various use states are obtained.

By collecting mass vehicles, the maintenance configuration information can be generated and optimized by adopting the modes of feature extraction, matching and the like, so that accurate maintenance suggestions are provided for the vehicles based on the maintenance configuration information subsequently.

The generation and optimization of the maintenance configuration information can be realized in a cloud server, the cloud server collects vehicle data from other servers and terminal equipment of vehicles, and the maintenance configuration information is generated and optimized through the processing steps. And then, determining the distribution of maintenance configuration information based on the specific processing equipment of the maintenance suggestions, for example, if the server matches the maintenance suggestions, the server stores the maintenance configuration information locally, and if the server matches the maintenance suggestions in the terminal equipment, the server stores the maintenance configuration information and then issues the maintenance configuration information to the terminal equipment.

2. Service advice submission and feedback

Referring to fig. 3, a flowchart illustrating steps of another embodiment of a vehicle data processing method according to the present application is shown, which may specifically include the following steps:

and 302, matching the driving track data with the map data to determine the road information driven by the vehicle.

Vehicle usage status information may be determined based on the collected vehicle data by performing a usage status analysis of the vehicle. Namely, the road information of the vehicle is calculated by adopting the driving track data. The driving track data of the vehicle can be matched with the map data, and the actual road section of each driving track on the map is determined, so that the road information driven by the vehicle is determined, wherein the road information can comprise the name of each road, the type of the road, the driving time, the driving mileage, the flight mileage, the navigation mileage and other data of each road, and the road condition information such as the congestion condition on the road, the vehicle flow speed and the like can be determined as one of the road information when the vehicle passes through the road by combining with the real-time traffic data, the historical traffic data and the like. And the road information is classified and analyzed, and can be classified according to the road type, the information such as the corresponding driving time, the driving times, the driving mileage and the like of each type is determined, and the most frequently-driving road type of the vehicle is determined. The road types include the traffic lane types of vehicles, the types of flight lines of flight tools such as airplanes (such as above the equator, above the ocean), the types of routes of navigation tools such as ships (such as rivers, lakes, seas and the like), and the like.

The driving track data is used for determining driving road information, and different road information, road condition information and the like can have different influences on accessories such as tires, engines and the like of the vehicles.

And step 304, analyzing according to the road information and the vehicle related data, and determining the use state information of the vehicle.

Then, the road type and the vehicle related data are combined to analyze the use state of the vehicle, corresponding features of different vehicle data can be combined to determine the vehicle features, for example, weather corresponding to the travel track data of each time period, real-time traffic data, use information of users and the like are combined to determine the influence of the road on tires, and therefore, the use state information of the vehicle of each accessory is determined through classification analysis of various types of vehicle data.

Wherein, the analyzing is carried out according to the road information and the vehicle related data to determine the using state information of the vehicle, and the method comprises the following steps: extracting vehicle features from the road information and vehicle-associated data; and carrying out classification analysis on the vehicle characteristics according to accessories to generate the use state information of the vehicle corresponding to the accessories of the vehicle.

The road information and the vehicle-related data are subjected to feature extraction, for example, the collected vehicle-related data such as sensor data, meteorological data, use behavior data, historical maintenance data and the like are subjected to feature extraction, the feature value of each vehicle feature is determined, then classification is carried out according to accessories, the vehicle feature corresponding to the feature tag influencing the accessories is determined, and the vehicle features of the category are combined to form the vehicle use state information of the accessories. For example, the accessory is an air conditioner filter, and the vehicle use state information such as that the vehicle is frequently turned on and the vehicle is in a highly polluted environment is determined through analysis of the characteristic data. The replacement time of the air conditioner filter may be shortened when the maintenance advice is subsequently matched.

And step 306, determining the weighted value of the accessory of the vehicle according to the using state information of the vehicle and the feature tag of the accessory of the vehicle.

And 308, determining a maintenance suggestion of the vehicle accessory according to the weighted value and the design life information.

According to the matching of the using state information of the vehicles and the maintenance configuration information, the accessories of the vehicles can be respectively matched to obtain the maintenance suggestions corresponding to all the accessories. The maintenance recommendation of the transportation means can be obtained by matching the transportation means characteristics of the accessories in the use state information with the characteristic tags of the corresponding accessories in the maintenance configuration information, determining the weighted values of the corresponding accessories, then calculating the weighted values and the design life information of the corresponding accessories in the maintenance configuration information aiming at each accessory, determining the maintenance configuration information of the accessories of the transportation means, and finally obtaining the maintenance recommendation of the transportation means. The following substeps may be specifically employed:

referring to FIG. 4, a flow chart of the steps of the accessory weight calculation in another vehicle data processing method embodiment of the present application is presented.

At step 402, a feature tag of an accessory of the vehicle is determined.

And step 404, matching the use state information of the accessories of the vehicle with the corresponding characteristic labels, and determining label scores corresponding to the characteristic labels.

Step 406, calculating a weighted value of the accessory of the vehicle according to the label score of the characteristic label and the weight of the characteristic label.

And step 408, determining maintenance configuration information of the accessories of the vehicle according to the weighted value and the design life information.

In the embodiment of the application, each accessory is configured with at least one characteristic label influencing the service life of the accessory, and the characteristic label is used for describing influence parameters of various characteristics of the accessory, such as a weather corresponding characteristic label, a road corresponding characteristic label and the like, and the characteristic label can correspond to the type of the vehicle data. The weight of each feature tag on the life of the part is preconfigured. In the matching process, the feature labels of the accessories are determined, the vehicle features in the vehicle using state information of the accessories are matched with the corresponding feature labels, and the label scores corresponding to the feature labels are matched according to the feature values of the vehicle features. And then, carrying out weighted calculation on the label score by adopting the weight of the characteristic label, and summing the weighted value of the accessory after the accessory is weighted and calculated corresponding to each characteristic label. And then carrying out matching calculation by using the weighted value and the design life information of the accessory, namely carrying out matching calculation according to the service time of the accessory, the design life information, the weighted value of the current service condition on the service life and the like to obtain the latest recommended service life of the accessory and the maintenance configuration information of the accessory.

And 310, feeding back the maintenance suggestion of the vehicle so as to remind the vehicle maintenance.

After the maintenance suggestion of the vehicle is obtained, the maintenance suggestion can be fed back to the vehicle, so that the maintenance suggestion can remind the vehicle of maintenance, and the service life of the vehicle is prolonged.

In an optional embodiment of the present application, determining a maintenance recommendation for an accessory of the vehicle according to the use state information and the maintenance configuration information of the vehicle includes: and when the using state information of the vehicle comprises accessory fault information, generating maintenance configuration information for overhauling the accessories. The vehicle data comprises sensor data, and the sensor data comprises fault sensor data, so that when the vehicle analysis is carried out to extract vehicle characteristics from the sensor data, whether the characteristic value is a fault characteristic value or not can be determined, if the characteristic value is determined to be the fault characteristic value, accessory fault information is configured in the using state information of the vehicle, therefore, in the process of matching with maintenance configuration information, if the accessory fault information is detected, the accessory is confirmed to be in fault, and the maintenance configuration information for overhauling the accessory can be generated to prompt a driver to maintain in time.

In the embodiment of the application, the maintenance system is influenced by the fault signal to remind a user of maintenance, wherein the sensors configured in different vehicle types are different, and corresponding sensor data can be acquired according to an actual vehicle so as to improve the accuracy of calculation and prompt of maintenance. For example: for the tire pressure, it is assumed that the tire needs to be maintained once after running 10000km, and a maintenance suggestion for tire maintenance is usually generated when the running mileage is determined to be close to 10000km, so as to prompt the user that the tire needs to be maintained. However, if the tire pressure of the vehicle is detected to be problematic through the sensor when the vehicle runs for 5000km, the fault signal is detected, and then the fault information of the accessories can be generated, so that a user can be timely reminded that the tire needs to be maintained, the running safety of the vehicle is ensured, and the service life of the vehicle is prolonged.

In the embodiment of the application, the running track data, the data of each sensor, the information data of terrain, weather, the driving habit of a driver and the like of the vehicle can be collected, so that various vehicle information such as daily running road information of the vehicle can be calculated, and the service condition of the vehicle can be analyzed. And then inputting the use state information into a service life calculation model corresponding to the accessory for weighted calculation, and finally outputting a final recommended maintenance period of the accessory. For example: weather has a great influence on the life of the air conditioner filter. If the standard maintenance period of the air conditioner filter of a certain vehicle type is 6 months, and the use state of the vehicle indicates that the vehicle runs in a high-pollution area daily, the use state information is led into an accessory life calculation model of the air conditioner filter for weighted calculation, and finally the recommended maintenance period of the air conditioner filter of the vehicle is 4 months, so that a user is prompted to maintain in time. For another example: the road has a great influence on the service life of the tire, and the tire of the vehicle is recommended to be repaired once in 6 months, and the vehicle of the user adopts a general tire and frequently runs on a mountain road, so that the vehicle is recommended to be replaced with a tire dedicated to the mountain road, and is recommended to be repaired once every 5 months.

According to the embodiment of the application, big data analysis is carried out by collecting the behavior data of the driver, the daily driving environment of the vehicle, the historical maintenance system and other vehicle data, and a targeted maintenance period suggestion is given, so that the targeted maintenance period suggestion is given according to the maintenance period of the manufacturer preset standard and the driving habits of the vehicle driving personnel and the different driving environments of the vehicle, and the driving safety is guaranteed to a great extent. And the car owner can refer to the accessory state shown when carrying out vehicle maintenance according to the maintenance reminding content to selectively carry out maintenance item selection, the maintenance cost of the vehicle is greatly reduced, and the maintenance as required is realized in the real sense.

The above mentioned service suggestion proposing and feedback related processing can be executed independently by the server or the terminal device, or can be completed interactively by the server and the terminal device. For example, the server determines the use state information of the vehicle, and the terminal device determines the maintenance advice based on the use state information and plays the maintenance advice, thereby even reminding the use user of the vehicle.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.

EXAMPLE III

On the basis of the above embodiments, the embodiment of the present application further provides a vehicle data processing device.

Referring to fig. 5, a block diagram of a vehicle data processing apparatus according to an embodiment of the present application is shown, which may specifically include the following modules:

a state determination module 502 for determining usage state information of the vehicle based on vehicle data, wherein the vehicle data comprises: travel track data and vehicle-related data.

A maintenance suggestion generation module 504, configured to determine a maintenance suggestion for an accessory of the vehicle according to the use state information and the maintenance configuration information of the vehicle.

Referring to fig. 6, a block diagram of another embodiment of a vehicle data processing apparatus according to the present application is shown, which may specifically include the following modules:

an optimization generation module 500, configured to perform feature extraction on vehicle data of each vehicle; and analyzing according to the extracted vehicle characteristics, and optimizing the maintenance configuration information.

A state determination module 502 for determining the usage state information of the vehicle according to the vehicle data.

A feedback module 506 for feeding back the vehicle maintenance recommendation to alert the vehicle maintenance.

Wherein the vehicle data comprises: travel track data and vehicle-related data.

The state determination module 502 includes:

the road matching submodule 5022 is used for matching the driving track data with the map data and determining the road information of the vehicle.

The analysis submodule 5024 is used for analyzing according to the road information and the vehicle related data to determine the use state information of the vehicle.

The analysis submodule 5024 is used for extracting vehicle features from the road information and the vehicle related data; and carrying out classification analysis on the vehicle characteristics according to the accessories of the vehicle, and generating the use state information corresponding to the accessories of the vehicle.

Wherein the vehicle-related data comprises at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data.

Wherein the maintenance configuration information includes: feature labels and design life information for the part.

The maintenance recommendation generation module 504 includes:

the weighting calculation sub-module 5042 is used for determining a weighting value of the accessories of the vehicle according to the using state information of the vehicle and the feature labels of the accessories of the vehicle.

A recommendation determination sub-module 5044 for determining a service recommendation for the vehicle's accessories based on the weighted value and the design life information.

Wherein the weighting calculation sub-module 5042 is configured to determine a feature tag of an accessory of the vehicle; matching the vehicle using state information of the accessories of the vehicle with the corresponding characteristic label, and determining a label score corresponding to the characteristic label; calculating a weighted value for an accessory of the vehicle as a function of the tag score of the feature tag and the weight of the feature tag.

Wherein the optimization generation module 500 includes:

the collection sub-module 5002 is configured to collect vehicle data corresponding to the vehicle.

A feature extraction sub-module 5004 for extracting feature values of required vehicle features from each type of vehicle data.

And the matching sub-module 5006 is configured to match the extracted vehicle features with the maintenance configuration information, and determine a test suggestion result.

A generation sub-module 5008 configured to compare the test suggestion result with the actual maintenance information, and optimize the maintenance configuration information according to the comparison result.

In another optional embodiment of the present application, the maintenance advice generation module is configured to generate maintenance configuration information for repairing the accessory when the usage status information of the vehicle includes accessory failure information.

Wherein the vehicle features include: the system comprises vehicle basic characteristics and using state characteristics, wherein the using state characteristics comprise a driving geographic characteristic, a vehicle maintenance characteristic, a driving environment characteristic and a using behavior characteristic.

In an optional embodiment of the present application, the maintenance configuration information includes maintenance configuration information for different models and different accessories. And the maintenance configuration information comprises maintenance configuration information corresponding to different models, different accessories and different use state characteristics.

The optimization generation module 500 is configured to generate maintenance configuration information of the use state characteristics according to the use state characteristics of the vehicle and the actual maintenance information.

In this embodiment, the optimization generation module may be configured in a cloud device such as a server, and the usage of the vehicle and the matching state determination module of the maintenance advice, the maintenance advice generation module, and the feedback module are configured in the cloud device such as the server, or configured in a terminal device. Taking the server-side implementation as an example, the vehicle data is uploaded and the maintenance advice is received through the terminal device on the vehicle, and the terminal device may be an intelligent mobile device, a vehicle-mounted device, or other devices capable of receiving data. The terminal device is configured to receive an input indicative of a vehicle record. The vehicle record comprises vehicle data such as driving track data of a vehicle, how a driver drives, historical accessory maintenance records, the vehicle data are sent to a cloud end through the terminal device, the cloud end analyzes according to the received vehicle data, and advice and alarm information of maintenance needed by the vehicle are fed back to the terminal device, namely after the maintenance advice of the vehicle is generated, the feedback module 406 feeds back the maintenance advice of the vehicle to the terminal device, so that advice is provided for the driver and the alarm information is output. The alarm information is used for prompting the maintenance and repair of the vehicle. Therefore, the suggestion that the vehicle needs to be maintained and repaired is sent to the driver by combining the driving habits of users such as car owners and the driving use condition of the vehicle, the driver can be reminded that the vehicle needs to be maintained and repaired in time, and the vehicle can be maintained and repaired as required.

In another optional embodiment of the present application, the optimization generation module and the state determination module may be configured in a cloud device such as a server, and the maintenance suggestion generation module and the feedback module may be configured in a terminal device through interaction between the server and the terminal device. The terminal device can report the vehicle data to the server, the server analyzes the use state based on the vehicle data to determine the use state information, then the use state information of the vehicle is fed back to the terminal device, and the terminal device inputs the use state information of the vehicle into maintenance configuration information to obtain corresponding maintenance suggestions, alarm information and the like, so that the maintenance suggestions and the alarm information are obtained locally in time, and the vehicle is maintained and maintained in time. Of course, it may also be considered that the terminal device local to the vehicle performs the usage state analysis and the model matching, determines the recommendation of maintenance and repair, the alarm information, and the like, and the embodiment of the present application is not limited thereto.

In the embodiment of the application, the running track data, the data of each sensor, the information data of terrain, weather, the driving habit of a driver and the like of the vehicle can be collected, so that various vehicle information such as daily running road information of the vehicle can be calculated, and the use state of the vehicle can be analyzed. And then inputting the use state information into a service life calculation model corresponding to the accessory for weighted calculation, and finally outputting a final recommended maintenance period of the accessory. For example: weather has a great influence on the life of the air conditioner filter. If the standard maintenance period of the air conditioner filter of a certain vehicle type is 6 months, and the use state of the vehicle indicates that the vehicle runs in a high-pollution area daily, the use state information is led into an accessory life calculation model of the air conditioner filter for weighted calculation, and finally the recommended maintenance period of the air conditioner filter of the vehicle is 4 months, so that a user is prompted to maintain the air conditioner filter in time

The present embodiment also provides a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a terminal device, the one or more modules may cause the terminal device to execute instructions (instructions) of:

determining usage state information of the vehicle from vehicle data, wherein the vehicle data comprises: travel track data and vehicle-associated data; and determining a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle.

Optionally, determining the usage state information of the vehicle according to the vehicle data includes: matching the driving track data with map data to determine road information of the vehicle; and analyzing according to the road information and the vehicle related data to determine the use state information of the vehicle.

Optionally, analyzing according to the road information and the vehicle-related data to determine the usage state information of the vehicle, including: extracting vehicle features from the road information and vehicle-associated data; and carrying out classification analysis on the vehicle characteristics according to the accessories of the vehicle, and generating the use state information corresponding to the accessories of the vehicle.

Optionally, the vehicle-related data comprises at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data.

Optionally, the maintenance configuration information includes: feature labels and design life information for the part. .

Optionally, determining a maintenance recommendation of each accessory in the vehicle according to the use state information and the maintenance configuration information of the vehicle includes: determining a weighting value of an accessory of the vehicle according to the use state information of the vehicle and the feature tag of the accessory of the vehicle; and determining a maintenance recommendation for the vehicle's accessories based on the weighted value and the design life information.

Optionally, determining a weighting value of the accessory of the vehicle according to the usage state information of the vehicle and the feature tag of the accessory of the vehicle includes: determining a feature tag of an accessory of the vehicle; matching the use state information of the accessories of the vehicle with the corresponding characteristic labels to determine label scores corresponding to the characteristic labels; calculating a weighted value for an accessory of the vehicle as a function of the tag score of the feature tag and the weight of the feature tag.

Optionally, determining a maintenance recommendation of an accessory of the vehicle according to the use state information and the maintenance configuration information of the vehicle includes: and when the using state information of the vehicle comprises accessory fault information, generating maintenance configuration information for overhauling the accessories.

Optionally, the method further includes: carrying out feature extraction on the vehicle data of each vehicle; and analyzing according to the extracted vehicle characteristics, and optimizing the maintenance configuration information.

Optionally, the performing feature extraction on the vehicle data of each vehicle includes: collecting vehicle data corresponding to a mass of vehicles; feature values of required vehicle features are extracted from the vehicle data of each model.

Optionally, the analyzing according to the extracted vehicle features and optimizing the maintenance configuration information include: matching the extracted vehicle characteristics with maintenance configuration information to determine a test suggestion result; and comparing the test suggestion result with the actual maintenance information, and optimizing the maintenance configuration information according to the comparison result.

Optionally, the method further includes: and feeding back the maintenance suggestion of the vehicle so as to remind the vehicle maintenance.

Optionally, the vehicle features include: the system comprises vehicle basic characteristics and using state characteristics, wherein the using state characteristics comprise a driving geographic characteristic, a vehicle maintenance characteristic, a driving environment characteristic and a using behavior characteristic.

Optionally, the maintenance configuration information includes maintenance configuration information for different models and different accessories.

Optionally, the maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, and different use state characteristics.

Optionally, the method further includes a step of generating maintenance configuration information: and generating maintenance configuration information of the use state characteristics according to the use state characteristics of the vehicle and the actual maintenance information.

Optionally, the method further includes a step of generating maintenance configuration information: and generating maintenance configuration information of each accessory and the use state characteristics according to the use state characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information.

Fig. 7 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 7, the terminal device may include an input device 70, a processor 71, an output device 72, a memory 73, and at least one communication bus 74. The communication bus 74 is used to enable communication connections between the elements. The memory 73 may comprise a high speed RAM memory, and may also include a non-volatile memory NVM, such as at least one disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.

Alternatively, the processor 21 may be implemented by, for example, a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 21 is coupled to the input device 20 and the output device 22 through a wired or wireless connection.

Optionally, the input device 20 may include a variety of input devices, such as at least one of a user-oriented user interface, a device-oriented device interface, a software programmable interface, a transceiver, and a vehicle acquisition device. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware plug-in interface (e.g., a USB interface, a serial port, etc.) for data transmission between devices; optionally, the user-facing user interface may be, for example, a user-facing control key, a voice input device for receiving voice input, and a touch sensing device (e.g., a touch screen with a touch sensing function, a touch pad, etc.) for receiving user touch input; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or an input interface of a chip; optionally, the transceiver may be a radio frequency transceiver chip with a communication function, a baseband processing chip, a transceiver antenna, and the like. The acquisition device of the vehicle comprises a plurality of different devices, such as a sensor, a GPS and the like, wherein the sensor comprises a gyroscope and a fault sensor corresponding to each accessory. The gyroscope is used for analyzing the using behavior of a driver, and the fault sensor is used for identifying whether the corresponding accessory is in fault. The built-in sensor can detect data of the vehicle to generate sensor data in the running process of the vehicle, wherein different sensor data can be obtained according to different vehicles and different built-in sensors.

The terminal device in the embodiment of the application is a general terminal device. The terminal device may be, for example, a mobile terminal, a vehicle-mounted terminal, or the like. The mobile terminal or the vehicle-mounted terminal may specifically be a control device for a vehicle, and for an embodiment in which the terminal device is a control device for a vehicle, another embodiment is provided in the present application for description, please refer to the following embodiments, and details are not described here.

In this embodiment, the processor of the terminal device includes a device for executing the optimization generating module, the state determining module, the maintenance suggestion generating module, and the feedback module, and specific functions and technical effects may refer to the foregoing embodiments, which are not described herein again.

The terminal device provided in this embodiment may be configured to execute steps 302 to 310 in the foregoing method embodiment, and the implementation principle and technical effect of the terminal device are similar to those in the foregoing embodiment, and this embodiment is not described herein again.

Fig. 8 is a schematic diagram of a hardware structure of a terminal device according to another embodiment of the present application. FIG. 8 is a specific embodiment of FIG. 7 in an implementation. As shown in fig. 8, the terminal device of the present embodiment includes a processor 21 and a memory 22.

The processor 21 executes the computer program code stored in the memory 22 to implement the vehicle data processing method of fig. 1 to 4 in the above-described embodiment.

The memory 22 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, videos, and so forth. The memory 22 may include a Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

Optionally, the processor 21 is provided in the processing assembly 20. The terminal device may further include: communication component 23, power component 24, multimedia component 25, audio component 26, input/output interface 27, sensor component 28.

The processing component 20 generally controls the overall operation of the terminal device. The processing component 20 may include one or more processors 21 to execute instructions to perform all or part of the steps of the methods of fig. 1-4 described above. Further, the processing component 20 may include one or more modules that facilitate interaction between the processing component 20 and other components. For example, the processing component 20 may include a multimedia module to facilitate interaction between the multimedia component 25 and the processing component 20.

The power supply assembly 24 provides power to the various components of the terminal device. The power components 24 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device.

The multimedia component 25 includes a display screen providing an output interface between the terminal device and the user. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

The audio component 26 is configured to output and/or input audio signals. For example, the audio component 26 may include a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a voice recognition mode. The received audio signal may further be stored in the memory 22 or transmitted via the communication component 23. In some embodiments, the audio assembly 26 also includes a speaker for outputting audio signals.

The input/output interface 27 provides an interface between the processing component 20 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: a volume button, a start button, and a lock button.

The sensor assembly 28 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor assembly 28 may detect the open/closed status of the terminal device, the relative positioning of the assemblies, the presence or absence of user contact with the terminal device. The sensor assembly 28 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. In some embodiments, the sensor assembly 28 may also include an acceleration sensor, a gyroscope sensor, a gravity sensor, or the like.

The communication component 23 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card therein, so that the terminal device may log onto a GPRS network to establish communication with the server via the internet.

From the above, the communication component 23, the audio component 26 and the input/output interface 27 referred to in the embodiment of fig. 8 can be implemented as input devices in the embodiment of fig. 7.

On the basis of the description of the general terminal device of the embodiment shown in fig. 7, the present application also provides a control device for a vehicle, which is a specific implementation manner that the terminal device is used for the vehicle.

Optionally, the control device of the vehicle may be a vehicle-mounted device, a control device attached after the vehicle leaves a factory, or the like.

Specifically, the control device for a vehicle may include: an onboard input device and an onboard processor; optionally, an on-board output device may also be included, as well as other additional devices.

It should be noted that, in the "onboard input device", "onboard output device", and "onboard processor" related to the embodiment of the present application, the onboard input device "," onboard output device ", and" onboard processor "may be carried on a vehicle, or the" onboard input device "," onboard output device ", and" onboard processor "may be carried on an aircraft, or may be carried on other types of vehicles, and the meaning of the" onboard "is not limited in the embodiment of the present application. Taking the vehicle as an example, the onboard input device may be an onboard input device, the onboard processor may be an onboard processor, and the onboard output device may be an onboard output device.

Depending on the type of vehicle installed, the onboard input device may include a variety of input devices, which may include, for example, at least one of a user-oriented onboard user interface, a device-oriented onboard device interface, an onboard programmable interface for software, a transceiver, and a vehicle acquisition device. Optionally, the vehicle-mounted device interface facing the device may be a wired interface (for example, a connection interface with a vehicle event data recorder on a console of the vehicle) for performing data transmission between the devices, or may be a hardware insertion interface (for example, a USB interface, a serial port, or the like) for performing data transmission between the devices; alternatively, the on-vehicle user interface facing the user may be, for example, a steering wheel control key for a vehicle, a central control key for a large-sized vehicle or a small-sized vehicle, a voice input device for receiving voice input (e.g., a microphone disposed on a steering wheel or an operation rudder, a central sound collection device, etc.), and a touch sensing device for receiving touch input of the user (e.g., a touch screen with a touch sensing function, a touch pad, etc.), and the collection device of the vehicle includes various devices such as a sensor, a GPS, etc., wherein the sensor includes a gyroscope and a fault sensor corresponding to each accessory. The gyroscope is used for analyzing the using behavior of a driver, and the fault sensor is used for identifying whether the corresponding accessory is in fault. The built-in sensor can detect data of the vehicle to generate sensor data in the running process of the vehicle, wherein different sensor data can be obtained according to different vehicles and different built-in sensors; optionally, the vehicle-mounted programmable interface of the software may be, for example, an entry in a vehicle control system, which can be edited or modified by a user, such as an input pin interface or an input interface of a large chip or a small chip related in a vehicle; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, and the like, which have a communication function in a vehicle. The onboard input device is configured to receive maintenance configuration information for the vehicle in accordance with the method of the embodiment described above in connection with fig. 1-4. Correspondingly, when the control device for the vehicle is a central control unit or other devices on the vehicle, the vehicle-mounted input device may be a device transmission interface for communicating with various service sources inside the vehicle, and may also be a transceiver having a communication function. The on-board input device is also used to receive various commands triggered by the user. Correspondingly, when the control device for a vehicle is a central control unit or other device on the vehicle, the vehicle-mounted input device may be a steering wheel control key for the vehicle, a central control key for a large vehicle or a small vehicle, a voice input device for receiving voice input, a touch sensing device (e.g., a touch screen with a touch sensing function, a touch pad, etc.) for receiving user touch input by a user, and the like.

Depending on the type of vehicle being installed, the onboard processor may be implemented using various Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), Central Processing Units (CPUs), controllers, micro-controllers, microprocessors, or other electronic components, and may be used to perform the methods described above. The onboard processor is coupled to the onboard input device and the onboard output device via an in-vehicle line or wireless connection. The onboard processor may perform the methods of the embodiments corresponding to fig. 1-4 described above.

Depending on the type of vehicle in which it is installed, the onboard output device may be a transceiver that establishes wireless transmissions with a user's handheld device or the like, or may be various display devices on the vehicle. The display device can be various display devices used in the industry, and can also be a head-up display with a projection function. The onboard output device of the present embodiment may perform the method in the embodiments corresponding to fig. 1 to 4.

An embodiment of the present application further provides a storage medium readable by a processor, where the storage medium stores program instructions, and the program instructions are used to enable the processor to execute the vehicle data processing method described in fig. 1 to 4 in the foregoing embodiments. The processor-readable storage medium is similar to the non-volatile readable storage medium described above and therefore will not be described in detail.

An embodiment of the present application further provides a vehicle-mounted internet operating system, as shown in fig. 9, the vehicle-mounted internet operating system includes:

an input device control unit 902 that controls an in-vehicle input device to receive vehicle data of a vehicle, the vehicle data including at least one of: travel track data, vehicle-related data.

The maintenance determining unit 904 determines the use state information of the vehicle according to the vehicle data, and determines a maintenance recommendation of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information.

And an output device control unit 906 that controls the in-vehicle output device to output the maintenance advice determined by the maintenance determination unit.

Optionally, the maintenance determining unit matches the driving track data with map data to determine road information of the vehicle; and analyzing according to the road information and the vehicle related data to determine the use state information of the vehicle.

Optionally, the maintenance determining unit extracts vehicle characteristics from the road information and the vehicle-related data; and carrying out classification analysis on the vehicle characteristics according to the accessories of the vehicle, and generating the use state information corresponding to the accessories of the vehicle.

Optionally, the vehicle-related data comprises at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data. The maintenance configuration information includes: feature labels and design life information for the part.

Optionally, the maintenance determining unit determines the weighted value of the accessory of the vehicle according to the use state information of the vehicle and the feature tag of the accessory of the vehicle; and determining a maintenance recommendation for the vehicle's accessories based on the weighted value and the design life information.

Optionally, a maintenance determination unit for determining a characteristic tag of an accessory of the vehicle; matching the use state information of the accessories of the vehicle with the corresponding characteristic labels to determine label scores corresponding to the characteristic labels; calculating a weighted value for an accessory of the vehicle as a function of the tag score of the feature tag and the weight of the feature tag.

Optionally, the maintenance determining unit generates maintenance configuration information for repairing the accessory when the use state information of the vehicle includes accessory failure information.

Optionally, the output device control unit controls the vehicle-mounted output device to output the maintenance suggestion of the vehicle fed back by the maintenance determination unit so as to remind the maintenance of the vehicle.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

In a typical configuration, the computer device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a terminal device. As defined herein, computer readable media does not include non-transitory computer readable media (fransitory media), such as modulated data signals and carrier waves.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.

The present application provides a vehicle data processing method and a vehicle data processing apparatus, which are introduced in detail above, and specific examples are applied herein to illustrate the principles and embodiments of the present application, and the descriptions of the above embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A vehicle data processing method, comprising:

determining the use state information of the vehicle according to the vehicle data; the vehicle data includes at least one of: travel track data, vehicle-related data;

determining a maintenance suggestion of an accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle;

wherein determining the use state information of the vehicle according to the vehicle data comprises:

matching the driving track data with map data to determine road information of the vehicle, wherein the road information comprises road names, road types, driving time on each road and driving mileage;

analyzing according to the road information and the vehicle related data to determine the use state information of the vehicle;

the analyzing according to the road information and the vehicle related data to determine the using state information of the vehicle comprises the following steps:

extracting vehicle features from the road information and vehicle-associated data;

and carrying out classification analysis on the vehicle characteristics according to the accessories of the vehicle, and generating the use state information corresponding to the accessories of the vehicle.

2. The method of claim 1, wherein the vehicle-related data comprises at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data.

3. The method of claim 1, wherein the maintenance configuration information comprises: feature labels and design life information for the part.

4. The method of claim 3, wherein determining a maintenance recommendation for each accessory in the vehicle based on the vehicle usage status information and the maintenance configuration information comprises:

determining a weighting value of an accessory of the vehicle according to the use state information of the vehicle and the feature tag of the accessory of the vehicle; and

determining a maintenance recommendation for the vehicle's accessories based on the weighted value and the design life information.

5. The method of claim 4, wherein determining the weighted value of the accessory of the vehicle as a function of the usage state information of the vehicle and the feature tag of the accessory of the vehicle comprises:

determining a feature tag of an accessory of the vehicle;

matching the use state information of the accessories of the vehicle with the corresponding characteristic labels to determine label scores corresponding to the characteristic labels;

calculating a weighted value for an accessory of the vehicle as a function of the tag score of the feature tag and the weight of the feature tag.

6. The method of claim 1, wherein determining a maintenance recommendation for an accessory of the vehicle based on the vehicle usage status information and the maintenance configuration information comprises:

and when the using state information of the vehicle comprises accessory fault information, generating maintenance configuration information for overhauling the accessories.

7. The method of claim 1, further comprising:

and feeding back the maintenance suggestion of the vehicle to remind the maintenance of the vehicle.

8. The method of claim 1, further comprising:

carrying out feature extraction on the vehicle data of each vehicle;

and analyzing according to the extracted vehicle characteristics, and optimizing the maintenance configuration information.

9. The method of claim 8, wherein the feature extracting vehicle data for each vehicle comprises:

collecting vehicle data corresponding to a vehicle;

feature values of required vehicle features are extracted from the vehicle data of each model.

10. The method of claim 8, wherein the analyzing based on the extracted vehicle characteristics to optimize the maintenance configuration information comprises:

matching the extracted vehicle characteristics with maintenance configuration information to determine a test suggestion result;

and comparing the test suggestion result with the actual maintenance information, and optimizing the maintenance configuration information according to the comparison result.

11. The method of claim 1, 8, 9 or 10, wherein the vehicle characteristic comprises: the system comprises vehicle basic characteristics and using state characteristics, wherein the using state characteristics comprise a driving geographic characteristic, a vehicle maintenance characteristic, a driving environment characteristic and a using behavior characteristic.

12. The method of claim 1, wherein the maintenance configuration information includes maintenance configuration information for different models, different accessories.

13. The method of claim 11, wherein the maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, different use status characteristics.

14. The method of claim 13, further comprising the step of generating maintenance configuration information:

and generating maintenance configuration information of the use state characteristics according to the use state characteristics of the vehicle and the actual maintenance information.

15. The method of claim 13, further comprising the step of generating maintenance configuration information:

and generating maintenance configuration information of each accessory and the use state characteristics according to the use state characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information.

16. The method of claim 1,

the server determines the use state information of the vehicle according to the vehicle data; determining a maintenance suggestion of an accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle; or

The terminal equipment determines the use state information of the vehicle according to the vehicle data; and determining a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle.

17. The method of claim 1,

the server determines the use state information of the vehicle according to the vehicle data;

and the terminal equipment determines a maintenance suggestion of the accessory of the vehicle according to the using state information and the maintenance configuration information of the vehicle.

18. A vehicle data processing apparatus, comprising:

a state determination module for determining usage state information of the vehicle from vehicle data, the vehicle data comprising: travel track data and vehicle-associated data;

the maintenance suggestion generation module is used for determining maintenance suggestions of accessories of the transportation means according to the using state information and the maintenance configuration information of the transportation means;

wherein the state determination module comprises:

the road matching submodule is used for matching the driving track data with the map data and determining road information of the vehicle, wherein the road information comprises the names of roads, the types of the roads, the driving time of each road and the driving mileage;

the analysis submodule is used for analyzing according to the road information and the vehicle related data and determining the use state information of the vehicle;

the analysis submodule is used for extracting vehicle characteristics from the road information and the vehicle related data; and carrying out classification analysis on the vehicle characteristics according to the accessories of the vehicle, and generating the use state information corresponding to the accessories of the vehicle.

19. The apparatus of claim 18, wherein the vehicle-related data comprises at least one of: sensor data, meteorological data, usage behavior data, historical repair and maintenance data.

20. The apparatus of claim 18, wherein the maintenance configuration information comprises: feature labels and design life information for the part.

21. The apparatus of claim 20, wherein the maintenance recommendation generation module comprises:

the weighting calculation sub-module is used for determining the weighting value of the accessories of the vehicle according to the use state information of the vehicle and the feature tags of the accessories of the vehicle;

and an advice determination sub-module for determining a maintenance advice for the vehicle accessories based on the weighted values and the design life information.

22. The apparatus of claim 21,

the weighting calculation submodule is used for determining a characteristic label of an accessory of the vehicle; matching the vehicle using state information of the accessories of the vehicle with the corresponding characteristic label, and determining a label score corresponding to the characteristic label; calculating a weighted value for an accessory of the vehicle as a function of the tag score of the feature tag and the weight of the feature tag.

23. The apparatus of claim 18,

and the maintenance suggestion generation module is used for generating maintenance configuration information for overhauling the accessories when the service state information of the vehicle comprises accessory fault information.

24. The apparatus of claim 18, further comprising:

and the feedback module is used for feeding back the maintenance suggestion of the vehicle so as to remind the maintenance of the vehicle.

25. The apparatus of claim 18, further comprising:

the optimization generation module is used for extracting the characteristics of the vehicle data of each vehicle; and analyzing according to the extracted vehicle characteristics, and optimizing the maintenance configuration information.

26. The apparatus of claim 25, wherein the optimization generation module comprises:

the collecting submodule is used for collecting vehicle data corresponding to the vehicles;

and the characteristic extraction sub-module is used for extracting the characteristic value of the required vehicle characteristic from each type of vehicle data.

27. The apparatus of claim 25, wherein the optimization generation module comprises:

the matching submodule is used for matching the extracted vehicle characteristics with maintenance configuration information and determining a test suggestion result;

and the generation submodule is used for comparing the test suggestion result with the actual maintenance information and optimizing the maintenance configuration information according to the comparison result.

28. The apparatus of claim 18, 26 or 27, wherein the vehicle feature comprises: the system comprises vehicle basic characteristics and using state characteristics, wherein the using state characteristics comprise a driving geographic characteristic, a vehicle maintenance characteristic, a driving environment characteristic and a using behavior characteristic.

29. The apparatus of claim 18, wherein the maintenance configuration information includes maintenance configuration information for different models, different accessories.

30. The apparatus of claim 18, wherein the maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, different use status characteristics.

31. The apparatus of claim 30, further comprising:

and the optimization generation module is used for generating maintenance configuration information of the use state characteristics according to the use state characteristics and the actual maintenance information of the vehicle.

32. The apparatus of claim 30, further comprising:

and the optimization generation module is used for generating maintenance configuration information of each accessory and the use state characteristics according to the use state characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information.

33. The apparatus of claim 18, wherein the status determination module and the maintenance recommendation generation module are applied in a server; or, the state determination module and the maintenance suggestion generation module are applied to the terminal equipment.

34. The apparatus of claim 18, wherein the status determination module is applied to a server; the maintenance suggestion generation module is applied to the terminal equipment.

35. A terminal device, comprising:

one or more processors;

a memory; and

one or more modules stored in the memory and configured to be executed by the one or more processors, wherein the one or more modules are configured to perform the method of any of claims 1-17.