TW201741976A - Vehicle data processing method, apparatus, and terminal device - Google Patents

Abstract

A vehicle data processing method, apparatus, and terminal device, used for providing accurate vehicle maintenance suggestions. The method comprises: on the basis of vehicle data, determining usage state information of the vehicle, the vehicle data comprising at least one of the following: driving trajectory data and vehicle associated data; and, on the basis of the usage state information of the vehicle and maintenance configuration information, determining maintenance suggestions for the parts of the vehicle. Targeted maintenance suggestions for the vehicle are thereby generated, improving the accuracy of the suggestions.

Description

Vehicle data processing method, device and terminal device

The present invention relates to the field of data processing technology, and in particular to a vehicle data processing method, a vehicle data processing device, and a terminal device.

In the narrow sense, vehicles refer to all man-made devices used for human transportation or transportation, such as bicycles, cars, motorcycles, trains, boats and aircraft. Vehicles are an indispensable part of modern social life. For example, users can travel by car, train, plane, etc. Vehicles are usually made up of a number of columns, each with a certain life.

Vehicle maintenance is the preventive work of inspecting, cleaning, replenishing, lubricating, adjusting or replacing certain parts of the vehicle during the specified period, also known as vehicle maintenance. The purpose of vehicle maintenance is to keep the vehicle clean and tidy, to keep the technical situation normal, to eliminate hidden dangers, to prevent malfunctions, to slow down the deterioration process, and to extend the service life. Therefore, vehicle maintenance is important for the daily driving safety of the vehicle. The vehicle maintenance mainly includes the engine system (engine) and the gearbox. Maintenance range for systems, air conditioning systems, cooling systems, fuel systems, power steering systems, etc. The usual way to maintain the vehicle is to set the maintenance countdown from the mileage/time dimension to remind the user to perform vehicle maintenance based on the manufacturer-defined accessory life.

However, different drivers' driving behaviors and actual use of the vehicle are different, and it is likely that there is a problem that prompts maintenance when maintenance is not required, and does not prompt when maintenance is required.

Therefore, a technical problem that needs to be solved urgently by those skilled in the art is to propose a method and device for processing vehicle data to improve the accuracy of vehicle maintenance suggestions.

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

Correspondingly, the embodiment of the invention further provides a vehicle data processing device and a terminal device for ensuring implementation and application of the above method.

In order to solve the above problem, an embodiment of the present invention discloses a method for processing a vehicle data, including: determining usage status information of the vehicle according to the vehicle data, where the vehicle data includes at least one of the following: a travel track data, Vehicle related information; determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information.

The embodiment of the invention further discloses a vehicle data processing device, The method includes: a status determining module, configured to determine usage status information of the vehicle according to the vehicle data, where the vehicle information includes at least one of: driving track data, vehicle related data, and a maintenance suggestion generating module, And determining, according to the usage status information of the vehicle and the maintenance configuration information, a maintenance suggestion of the accessory of the vehicle.

The embodiment of the invention further discloses a terminal device, comprising: one or more processors; a memory; and one or more modules, wherein the one or more modules are stored in the memory and configured Executing by the one or more processors, wherein the one or more modules are configured to perform the method of the embodiments of the present invention.

The embodiment of the invention further discloses a terminal device, comprising: an input device and a processor; the input device is configured to receive vehicle information of the vehicle; and the processor is coupled to the input device for Determining the usage status information of the vehicle, determining the maintenance recommendation of the accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, where the vehicle information includes at least the following One: driving track data, vehicle related information.

The embodiment of the invention further discloses a control device for a vehicle, comprising: an onboard input device, an onboard processor; an onboard input device for receiving vehicle information of the vehicle; and an onboard processor; And coupled to the onboard input device, configured to determine usage status information of the vehicle according to the vehicle data, and determine the vehicle according to the usage status information of the vehicle and the maintenance configuration information. The maintenance proposal of the accessory, the vehicle information includes at least one of the following: Trajectory data, vehicle related data.

The embodiment of the invention further discloses an in-vehicle internetwork system, comprising: an input device control unit, controlling the vehicle input device to receive vehicle information of the vehicle; and a maintenance determining unit, determining the vehicle according to the vehicle data Using the status information, and determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, the vehicle information includes at least one of the following: the travel track data, the vehicle related information And an output device control unit that controls the onboard output device to output a maintenance suggestion determined by the maintenance determination unit.

Compared with the prior art, the embodiment of the present invention includes the following advantages: in the embodiment of the present invention, the vehicle data includes at least one of: driving track data, vehicle related information, and determining the vehicle according to the vehicle data. Using the status information to analyze the actual behavior of the vehicle to determine the actual loss of the vehicle, and then determining the maintenance suggestions for the accessories of the vehicle based on the usage status information of the vehicle and the maintenance configuration information, thereby generating a pair Targeted maintenance recommendations for vehicles to improve the accuracy of recommendations.

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500‧‧‧Optimized production module

502‧‧‧Status determination module

504‧‧‧Maintenance recommendation generation module

5002‧‧‧Collection submodule

5004‧‧‧Feature Extraction Sub-module

5006‧‧‧ matching submodule

5008‧‧‧Generating submodules

5022‧‧‧Road matching sub-module

5024‧‧‧Analysis submodule

506‧‧‧Reward module

70‧‧‧Input equipment

71‧‧‧ Processor

72‧‧‧Output equipment

73‧‧‧ memory

74‧‧‧Communication bus

20‧‧‧Processing components

21‧‧‧ Processor

22‧‧‧ memory

23‧‧‧Communication components

24‧‧‧Power components

25‧‧‧Multimedia components

26‧‧‧ Audio components

27‧‧‧Input/Output Interface

28‧‧‧Sensor components

902‧‧‧Input device control unit

904‧‧‧Maintenance determination unit

906‧‧‧Output device control unit

1 is a flow chart of steps of an embodiment of a vehicle data processing method according to the present invention; FIG. 2 is a flow chart of steps of an embodiment of a method for processing maintenance information according to the present invention; 3 is a flow chart showing the steps of another embodiment of the vehicle data processing method of the present invention; FIG. 4 is a flow chart showing the steps of calculating the weighting value of the accessory in another embodiment of the vehicle data processing method of the present invention; FIG. 6 is a structural block diagram of another embodiment of a vehicle data processing apparatus according to the present invention; FIG. 7 is a hardware structure of a terminal apparatus according to an embodiment of the present invention; FIG. 8 is a schematic diagram of a hardware structure of a terminal device according to another embodiment of the present invention; and FIG. 9 is a schematic diagram of an in-vehicle internetwork system of the present invention.

The present invention will be further described in detail with reference to the accompanying drawings and specific embodiments.

One of the core concepts of the embodiments of the present invention is to provide a method and apparatus for processing vehicle data to accurately present vehicle maintenance suggestions. Determining the usage status information of the vehicle according to the vehicle information, thereby analyzing the actual behavior of the vehicle, determining the actual loss condition of the vehicle, and determining the vehicle according to the usage status information of the vehicle and the maintenance configuration information. Maintenance advice for the accessories, resulting in a Targeted maintenance recommendations for vehicles to improve the accuracy of recommendations.

The vehicle according to the embodiment of the present invention may be any vehicle, and may also be other vehicles having corresponding control functions. For the vehicle, for example, an internal combustion engine vehicle, an electric vehicle, a pneumatic vehicle, an oil and gas hybrid vehicle, a hybrid electric vehicle, a motorcycle, an electric bicycle, an electric balance vehicle, a remote control vehicle, and various deformations; other vehicles having corresponding control functions, for example It can be a small aircraft (for example, an unmanned aerial vehicle, a small manned aircraft), a yacht, and various deformations.

Embodiment 1

Referring to FIG. 1 , a flow chart of steps of an embodiment of a vehicle data processing method of the present invention is shown, which may specifically include the following steps:

Step 102: Determine usage status information of the vehicle according to the vehicle data.

Step 104: Determine maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information.

Vehicle maintenance can eliminate hidden dangers, prevent malfunctions, slow down the deterioration process, and extend the life cycle. However, users of vehicles often do not know when maintenance is needed, so it is necessary to promptly remind the user of the vehicle.

In this embodiment, the maintenance configuration information is preset, and the maintenance configuration information is used to determine maintenance suggestions for the accessories in the vehicle, thereby calculating the life of the vehicle accessories by using the maintenance configuration information and proposing corresponding maintenance suggestions. The accessories include parts and components of the assembly machine.

In this embodiment, vehicle related vehicle data is collected, and the vehicle data includes at least one of: driving track data, vehicle related data, wherein the driving track data is positioning information of a vehicle driving track, for example, The geographical location data including the track points in the travel track can be acquired by a vehicle or the like by means of GPS or the like. Vehicle-related data is various materials related to vehicles, such as sensors in vehicles, weather data, and other materials that affect vehicles. And then analyzing the vehicle data to determine the usage status information of the vehicle, for example, using the vehicle data to analyze the vehicle related information, determining the usage status information of the vehicle, and using the vehicle. Information is used to describe the loss of vehicle accessories, such as the loss of the environment to various accessories, the loss of road to accessories.

Then, the usage status information of the vehicle and the maintenance configuration information are matched to determine the usage of the accessories in the vehicle, and the maintenance suggestions for the accessories are given. For example, suppose that the vehicle's brake system is recommended to be repaired every 8 months, and the user's vehicle is often driven in a congested city, and the user is accustomed to sudden braking, based on the corresponding usage status information and maintenance configuration information. The user needs to overhaul the brake system within 2 months and it is recommended to check it once every six months. For example, suppose that the battery (also called battery) of the electric bicycle is recommended to be replaced once a year. The user uses the electric bicycle to go to work every day. The user charges the battery (also called the battery) of the electric bicycle every night. The charging time is 10 After about an hour, the battery has been used for about 8 months, and the storage capacity is less than 60%. The generated usage status information and maintenance configuration information determine that the user's battery should be replaced with a battery, and it is recommended that the battery be charged for no more than 8 hours per charge.

In this embodiment, the maintenance configuration information can be configured to adopt a virtual mathematical model, which is called a component life calculation model, and the accessory life calculation model can be used to model the vehicle usage status information to determine the maintenance suggestion of the vehicle, that is, The loss of each accessory characterized by the vehicle usage status information is matched with the maintenance configuration information to determine the usage of each accessory, whether maintenance is required, etc., and corresponding maintenance suggestions are generated, which may include various accessories of the vehicle. Maintenance advice, such as maintenance of the oil filter in a car, such as the battery replacement time of a battery car. The mathematical model may be one or a set of algebraic equations, differential equations, difference equations, integral equations or statistical equations and combinations thereof, by which the quantitative or qualitative description of the relationship or causal relationship between the variables of the system is described. . In addition to the mathematical models described by equations, there are models described by other mathematical tools such as algebra, geometry, topology, mathematical logic, and so on. The mathematical model describes the behavior and characteristics of the system rather than the actual structure of the system.

In summary, determining the usage status information of the vehicle according to the vehicle information, thereby analyzing the actual behavior of the vehicle to determine the actual loss of the vehicle, and determining the location according to the usage status information and the maintenance configuration information of the vehicle. Maintenance recommendations for the accessories of the vehicle, resulting in targeted maintenance advice for the vehicle and improved accuracy of the recommendations.

Embodiment 2

Based on the above embodiments, the present embodiment discusses maintenance recommendations for various components of the vehicle in detail. Among them, the maintenance of the vehicle is recommended to be produced by one or more hardware devices.

In an optional embodiment of the present invention, the usage analysis of the vehicle and the matching of the maintenance suggestions may be implemented by a cloud device such as a server, or the usage analysis of the vehicle and the matching of the maintenance suggestions may be performed by the terminal device of the vehicle. achieve. For example, by implementing a cloud device such as a server, the terminal device of the vehicle uploads the vehicle data and receives the maintenance suggestion, and the terminal device may be a smart mobile device, an in-vehicle device, and other devices capable of receiving data. The terminal device is for receiving an input indicating a vehicle record. The vehicle record includes vehicle information such as the trajectory data of the vehicle, how the driver is driving, historical maintenance and repair records of the accessory, and the vehicle data is sent to the cloud by the terminal device, and the cloud receives the received data. The vehicle data is analyzed, and the terminal equipment is provided with suggestions for maintenance and repair, as well as alarm information, etc., that is, after the maintenance suggestion of the vehicle is generated, the maintenance suggestion of the vehicle is fed back to the terminal device, thereby providing advice to the driver. And output alarm information. This alarm message is used to indicate the maintenance and repair required by the vehicle. Therefore, by combining the driving habits of the user, such as the owner of the vehicle, and the driving usage of the vehicle, the driver is required to provide maintenance and repair suggestions, and the driver can be reminded that the vehicle needs timely maintenance and repair, and maintenance and repair are performed as needed.

In another optional embodiment of the present invention, the terminal device may report the vehicle data to the server, and the server determines the usage status information based on the usage status analysis of the vehicle data, and then returns the vehicle usage status information to the terminal. The device inputs the vehicle usage status information into the maintenance configuration information by the terminal device to obtain corresponding maintenance and maintenance suggestions and alarm information, so as to obtain maintenance suggestions and alarm information in time, so as to facilitate timely maintenance and maintenance of the vehicle. Of course, it is also possible to consider the use state analysis and model matching in the local terminal device of the vehicle, and to determine the maintenance and repair suggestions and the alarm information, which are not limited in the embodiment of the present invention.

In the embodiment of the present invention, the vehicle information includes: driving track data and vehicle related information, and the vehicle related information includes at least one of the following: sensor data, weather data, usage behavior data, and historical maintenance data.

The sensor data includes data of various sensors in the vehicle, wherein the sensor of the vehicle includes a gyroscope and a fault sensor corresponding to each component. The gyroscope is used to analyze the driver's usage behavior, and the fault sensor is used to identify whether the corresponding accessory has failed. During the operation of the vehicle, the built-in sensor detects its own data and generates sensor data. Depending on the vehicle, the built-in sensor can obtain different sensor data.

Meteorological data is meteorological data of the location of the vehicle. For example, meteorological data during the driving process of the vehicle, weather will have an impact on the vehicle accessories, such as the weather has a great impact on the life of the air conditioning filter. can The corresponding travel time is determined based on the travel track data, etc., and then meteorological data such as temperature, rainfall, wind power, and air quality are obtained from the network server.

The use of behavioral data is a customary use behavior of the driver of the vehicle, for example, the driver often has a sudden braking that affects the braking system and the tire. The information such as the change in acceleration can be determined by the in-vehicle system, the sensor, or the like, thereby determining whether the user performs the behavior such as sudden braking, and determining whether to frequently brake the brake based on the frequency of the sudden braking.

Historical maintenance data is the maintenance record of the history of the vehicle. It can include historical maintenance data and historical maintenance materials, such as vehicle maintenance time, maintenance items, replacement parts, maintenance time and projects, etc., which can be uploaded by 4S shop or The server's server or the like obtains a maintenance record to determine the use and maintenance status of each accessory in the vehicle.

Therefore, based on the above-mentioned various types of vehicle data, the life effects of each component are comprehensively determined, and each vehicle is provided with targeted maintenance suggestions.

When making maintenance recommendations, it is usually determined based on the usage status information and maintenance configuration information of the vehicle. Therefore, the determination of the maintenance proposal can include at least two phases: 1. generation and optimization of maintenance configuration information; 2. presentation and feedback of maintenance suggestions.

1. Generation and optimization of maintenance configuration information

In the embodiment of the present invention, the vehicle includes various models, such as cars and airplanes of various brands and models, so as to target different types of vehicles. Due to the different accessories, it is possible to configure the maintenance configuration information for different types of vehicles.

Each vehicle can also have different accessories. For example, the aircraft includes accessories such as a wing and a landing gear. The automobile includes accessories such as a battery, a tire, an engine, and the like, and the specific types of the corresponding accessories of different vehicles are also different, so that the vehicle can be configured. Maintenance configuration information corresponding to the accessory.

Due to the difference between the factory time, the purchase time, the user, the environment, etc., the vehicles may have different usage conditions, which may have different effects on the accessories, that is, have different usage state characteristics. For example, the same type of car, driving on mountain roads and highways, the tire wear will be different; the same type of electric car, often used and occasionally used, the battery loss will be different. Thus, the usage state characteristics of each vehicle can be configured, which can be characteristics determined based on usage conditions, and different usage state characteristics can have different effects on accessories and the like. Corresponding maintenance configuration information can be generated based on the usage status characteristics.

The above models, accessories, and usage status features can be combined to obtain corresponding maintenance configuration information, thereby maintaining configuration information including maintenance configuration information for different models and different accessories. The maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, and different usage state characteristics.

Referring to FIG. 2, a flow chart of the steps of the embodiment of the maintenance configuration information processing method of the present invention is shown, which may specifically include the following steps:

Step 202: Collect vehicle information corresponding to the vehicle.

Step 204, extracting the required intersection from each type of vehicle data. The feature value of the tool feature.

In the embodiment of the present invention, the maintenance configuration information may be preset, and when the actual matching is performed, the maintenance configuration information is optimized by using the historical data in an offline manner, thereby improving the accuracy of the maintenance recommendation.

Among them, when generating and optimizing the maintenance configuration information, a huge amount of vehicle data can be collected in advance, that is, vehicle information of various vehicles is collected from the whole network, wherein the vehicle data can be classified according to the model number thereof, thereby Obtain data collections corresponding to various types of vehicles or store them in the same data sheet, database, and so on. Then, the vehicle data of each vehicle is extracted according to the model, and the corresponding vehicle characteristics are obtained. Vehicle features include: vehicle basic features and usage status features.

For example, a large amount of vehicle data is collected from various vehicles connected to the server, wherein the vehicle type can be divided according to the model of the vehicle. For different types of vehicles such as airplanes, internal combustion engines, and electric vehicles, The model divides the vehicle's vehicle information and extracts the vehicle data. For example, the vehicle data is collected from the N models of the same model for feature extraction.

The basic characteristics of the vehicle are used to describe the basic information of the vehicle, and the corresponding feature values include the vehicle type, the purchase time, and the like; the user of the state feature is used to describe the actual use state of the vehicle, such as roads, weather, maintenance conditions, etc. that are frequently driven. Thus, the usage status features may include driving geographic features, vehicle maintenance features, driving environment characteristics, and usage behavior characteristics. Driving geographic features are used to describe the geographic location of the vehicle Location information, corresponding feature values include the type of roads that are frequently driven, areas, whether the roads are rugged, etc.; vehicle maintenance features are used to describe historical maintenance and repair information, and the corresponding feature values include whether there has been overhaul records, and whether the accessories are replaced on schedule. The replacement time of the accessory, etc.; the driving environment feature is used to describe the environmental information of the vehicle driving, and the corresponding characteristic values include air quality, temperature, air humidity, etc.; the usage behavior feature is used to describe the driver's usage behavior information, and the corresponding feature value Including whether the driver likes frequent braking, whether the single trip distance is less than 8 kilometers.

The usage status of the accessories of the vehicle may be determined according to the characteristics of the vehicle, and each vehicle feature may correspond to one feature label, and the usage of the accessories may be determined by a combination of vehicle characteristics of the plurality of feature labels, for example, the accessories are oil filtering. The vehicle characteristics corresponding to the feature tag may include usage behavior characteristics, driving geographic features, and the like, and the corresponding feature values include whether the vehicle is frequently braked, whether the vehicle is often traveled for less than 8 kilometers, and the accessory is an air conditioner filter, and the feature tag Corresponding vehicle features may include driving environment characteristics, and specific feature values include whether the environment in which the vehicle is located is highly contaminated or the like.

The maintenance configuration information can then be optimized based on the extracted vehicle characteristics. That is, the analysis can be performed according to the extracted vehicle characteristics, the accuracy of the maintenance configuration information matching is determined by the vehicle characteristics, and the maintenance configuration information is optimized, thereby obtaining updated maintenance configuration information. Specifically, the following steps are included:

Step 206: Match the extracted vehicle features and maintenance configuration information to determine a test recommendation result.

Step 208: Compare the test recommendation result with the actual maintenance information, and optimize the maintenance configuration information according to the comparison result.

Matching the extracted vehicle features and maintenance configuration information to obtain test recommendation results. In this embodiment, the actual maintenance records of the vehicle may be screened to determine actual maintenance information, and then the test recommendation results and actual maintenance information. For comparison, the parameters in the maintenance configuration information, such as the weight of each accessory feature tag, are adjusted according to the comparison result, thereby optimizing the maintenance configuration information. There are various ways to optimize the maintenance configuration information, such as a logical regression method of the machine learning, a neural network method, and the like, which are not limited in the embodiment of the present invention.

Among them, the screening of the actual maintenance records can be based on the feedback of the system and the 4S shop for the maintenance of the vehicle during maintenance and the actual maintenance situation, for example, the maintenance is carried out for the standard maintenance time, but the system feedback can actually delay 2 If the repair is repeated for a month, the maintenance record is inaccurate and the record can be deleted to screen out the actual actual maintenance record as actual maintenance information.

For example, when a virtual accessory life calculation model is employed, model training can be performed by a logistic regression method to optimize the model, thereby determining vehicle characteristics of each vehicle as training materials, and matching with the vehicle characteristics. Other vehicles, including vehicles with actual maintenance records, use other vehicles as standard materials to perform comparisons. In the training process, the extracted vehicle features can be first trained in statistical model, that is, each vehicle feature is input into the accessory life calculation model to perform model matching, and the matching result of each accessory is obtained. Will The matching result is matched with the actual maintenance records of other vehicles, and then the weighting value of the accessory life calculation model is verified according to the matching result, and the weighting value is adjusted to optimize the life calculation model of the accessory to optimize the life of the accessory. Calculate the model and improve the accuracy of the matching of the life of the accessory calculation model.

Thereby, the feature extraction is performed to determine the vehicle characteristics by collecting the vehicle data corresponding to the vehicle, and then the maintenance configuration information is determined based on the vehicle characteristics, the maintenance configuration information, and the actual maintenance information, thereby improving the accuracy of the maintenance configuration information.

Taking the vehicle as an example, the generation and optimization of the maintenance configuration information corresponding to the vehicle may be as follows: In an optional embodiment of the present invention, the step of generating the maintenance configuration information is further included: according to the state of use of the vehicle and the actual maintenance Information, generating maintenance configuration information of the usage status feature.

For the vehicle data of the collected vehicle, the vehicle characteristics, that is, the basic characteristics and the use state characteristics of the vehicle, may be extracted from the vehicle data, and the maintenance information of the vehicle in various actual use states may be described for the actual maintenance information, so that the use state characteristics may be used. Matching with the actual maintenance information to determine the maintenance conditions corresponding to the various usage states, and generating maintenance configuration information of the usage state features. In the process of actually using the maintenance configuration information, or in the process of using the maintenance configuration information, the actual maintenance information can be continuously collected, and the maintenance configuration information can be optimized by the actual maintenance information.

In another optional embodiment of the present invention, the maintenance configuration information is further included Steps of generating: According to the state of use characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information, the maintenance configuration information of each accessory and the use state feature is generated.

When determining the maintenance configuration information, different vehicles may have different accessories, and different accessories have different losses in different use states, and the time and method for curing are different, so the maintenance configuration information may also be the maintenance configuration information of each accessory. And the maintenance configuration information of the accessories in various use states. After extracting the vehicle characteristics of the vehicle, it is possible to determine the matching accessories corresponding to each use state feature, and match the use state characteristics with the maintenance information of each accessory in the actual maintenance information to determine the maintenance condition of each accessory under various use states, thereby Get the maintenance configuration information of each accessory, and the maintenance configuration information of the accessories under various usage conditions.

By collecting a large number of vehicles, feature extraction, matching, etc. can be used to generate and optimize the maintenance configuration information, so as to provide accurate maintenance suggestions for the vehicle based on the maintenance configuration information.

The generation and optimization of the above-mentioned maintenance configuration information can be implemented in a cloud server, and the cloud server collects vehicle data from other servers and vehicle terminal devices, and the above processing steps are generated and optimized. Maintenance configuration information. Then, the specific processing device based on the maintenance suggestion determines the allocation of the maintenance configuration information. For example, if the server matches the maintenance suggestion, the server stores the maintenance configuration information locally. If the maintenance proposal is matched in the terminal device, the server is storing. After the configuration information is saved, the maintenance configuration information is also sent to the terminal device.

2. Proposal and feedback of maintenance suggestions

Referring to FIG. 3, a flow chart of steps of another embodiment of a vehicle data processing method of the present invention is shown, which may specifically include the following steps:

Step 302: Match the driving track data and the map data to determine road information that the vehicle travels.

Based on the collected vehicle data, the state of use of the vehicle can be analyzed to determine the vehicle usage status information. That is, the road information of the vehicle is calculated by using the travel track data. The driving track data of the vehicle can be matched with the map data to determine the actual road section of each driving track on the map, thereby determining the road information of the vehicle, the road information may include the name of each road, the road type, In the travel time, mileage, flight mileage, sailing nautical miles and other information of each road, and combined with real-time traffic data, historical traffic data, etc., it can be determined that the traffic condition, the vehicle flow rate, etc. of the road when the vehicle passes the road Information as one of the road information. And the road information is classified and analyzed, and the road type can be classified, the time, the number of times, the mileage and the like of each type are determined, and the road type most frequently traveled by the vehicle is determined. The type of road includes the type of driving of the vehicle, as well as the type of flight path of the aircraft such as the aircraft (such as over the equator, over the ocean, etc.), as well as the type of route of the navigation tools such as ships (such as rivers, rivers, lakes, seas, etc.). .

Among them, the road information of the road is determined by the trajectory data, and different road information and road condition information may have different effects on the tires, engines and other accessories of the vehicle.

Step 304: Perform analysis according to the road information and the vehicle related data to determine the usage status information of the vehicle.

Then, the road type and the vehicle related information are combined to perform the analysis of the vehicle use state, and the different vehicle data corresponding features can be combined to determine the vehicle characteristics, for example, the travel track data of each time period is determined to correspond to the weather, and the instant traffic The data, the user's usage information, and the like are combined to determine the influence of the road on the tire, thereby determining the usage status information of the vehicle of each accessory by classifying and analyzing various types of vehicle materials.

The determining, according to the road information and the vehicle related information, determining the usage status information of the vehicle, comprising: extracting a vehicle feature from the road information and the vehicle related information; and performing the vehicle feature according to the accessory The classification analysis generates usage status information of the vehicle corresponding to the accessory of the vehicle.

Feature extraction of road information and vehicle related data, for example, feature extraction of collected vehicle related data such as sensor data, meteorological data, usage behavior data, historical maintenance data, etc., to determine characteristics of each vehicle feature The values are then sorted according to the accessories, and the feature tags that affect the accessory are determined to correspond to the vehicle features, and the various vehicle features of the category are combined to form the vehicle usage status information for the accessory. For example, the accessory is an air conditioner filter, and the vehicle usage status information is determined by analysis of the feature data, such as the vehicle often turning on the air conditioner and the vehicle is in a highly polluted environment. The replacement of the air conditioner filter may be shortened when subsequent maintenance recommendations are matched.

Step 306: Determine a weighting value of the accessory of the vehicle according to the usage status information of the vehicle and the feature tag of the accessory of the vehicle.

Step 308, determining maintenance suggestions for the accessories of the vehicle according to the weighting value and the design life information.

According to the vehicle usage status information, the maintenance configuration information can be matched, and the accessories of the vehicle can be separately matched to obtain the maintenance suggestions corresponding to each accessory. Wherein, the vehicle feature of the accessory in the status information may be matched with the feature tag of the corresponding accessory in the maintenance configuration information to determine the weighting value of the corresponding accessory, and then for each accessory, the weighting value and the maintenance configuration information are The design life information of the corresponding accessory is calculated, the maintenance configuration information of the accessory of the vehicle is determined, and the maintenance suggestion of the vehicle is finally obtained. Specifically, the following sub-steps may be adopted: Referring to FIG. 4, a flow chart of steps of calculating the weighting value of the accessory in another embodiment of the vehicle data processing method of the present invention is given.

Step 402, determining a feature tag of the accessory of the vehicle.

Step 404: Matching the usage status information of the accessory of the vehicle with the corresponding feature tag to determine a tag score corresponding to the feature tag.

Step 406: Calculate a weighting value of the accessory of the vehicle according to the label score of the feature tag and the weight of the feature tag.

Step 408: Determine maintenance configuration information of the accessory of the vehicle according to the weighting value and design life information.

In the embodiment of the present invention, at least one component is configured for each accessory to affect the configuration. A feature tag of a piece of life, the feature tag is used to describe an influence parameter of each feature of the accessory, for example, a weather corresponding feature tag, a road corresponding feature tag, etc., and the feature tag may correspond to a type of vehicle profile. Pre-configure the weight of each feature tag's impact on the life of the accessory. In the matching process, the feature tag is determined for the accessory, the vehicle feature in the vehicle usage status information of the accessory is matched with the corresponding feature tag, and the tag score corresponding to the feature tag is matched according to the feature value of the vehicle feature. Then, the weight of the feature tag is used to perform weighting calculation on the tag score, and the accessory is weighted and calculated by weighting each feature tag to obtain a weight value of the accessory. Then, the weighting value of the accessory and the design life information are used for matching calculation, that is, according to the matching time of the accessory, the design life information, and the weighting value of the existing use condition to the life effect, the latest recommended service life of the accessory is obtained. And the maintenance configuration information of the accessory.

Step 310: Repay the maintenance suggestion of the vehicle to remind the vehicle maintenance.

After obtaining the maintenance advice of the vehicle, the maintenance advice of the vehicle can be returned, so that the maintenance suggestion can be used to remind the vehicle to improve the service life of the vehicle.

In an optional embodiment of the present invention, determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, including: when the usage status information of the vehicle includes accessory failure information , generating maintenance configuration information for repairing the accessory. The vehicle data includes sensor data, and the sensor data includes fault sensor data, so the vehicle is analyzed from the sensor data. When extracting the vehicle feature, it may be determined whether the feature value is a fault feature value, and if it is determined to be a fault feature value, the accessory fault information is configured in the usage state information of the vehicle, so as to match the maintenance configuration information, If the accessory failure information is detected, it is confirmed that the accessory is faulty, and maintenance configuration information for repairing the accessory may be generated to prompt the driver to perform timely maintenance.

In the embodiment of the present invention, the maintenance system is used to notify the user to perform maintenance by the fault signal, wherein the sensors of different models are different, and the corresponding sensor data can be obtained according to the actual vehicle to improve the maintenance calculation, The accuracy of the prompt. For example, for tire tire pressure, it is assumed that the tire needs to be serviced once after 10,000km of travel, usually when it is determined that the mileage is close to 10000km, it is recommended to maintain the tire maintenance, prompting the user's tire to be maintained. However, if the vehicle detects that the tire pressure of the vehicle is problematic when the vehicle travels for 5000 km, the accessory fault information may be generated after detecting the fault signal, thereby promptly reminding the user that the tire needs maintenance and ensuring the vehicle. Drive safely and improve the service life of the vehicle.

In the embodiment of the present invention, the vehicle trajectory data, the sensor data, and the information such as the terrain, the weather, the driving habits of the driver, and the like can be collected, thereby calculating various vehicle information such as the daily road information of the vehicle. The vehicle is analyzed for usage. Then, the status information is input into the life calculation model corresponding to the accessory for weight calculation, and finally the final recommended maintenance period of the accessory is output. For example, weather has a large impact on the life of air conditioning filters. If a certain type of air conditioner filter The standard maintenance period is 6 months. The vehicle usage status indicates that the vehicle is driving in a highly polluted area on a daily basis. The usage status information is imported into the air conditioning filter's accessory life calculation model to calculate the weight. The recommended air conditioning filter has a maintenance period of 4 months, prompting the user to perform maintenance. Another example: the road has a great impact on the service life of the tire. The tire of the vehicle is recommended to be repaired once every six months. The user's vehicle uses ordinary tires and often travels in the mountain road. Therefore, it is recommended that the vehicle be replaced with tires for mountain roads, and It is recommended to check every 5 months.

The embodiment of the invention collects the driver's behavior data, the daily driving environment of the vehicle and the historical maintenance and maintenance of the vehicle materials for large data analysis, and provides targeted maintenance cycle suggestions, thereby enabling maintenance based on the manufacturer's preset standards. The cycle, combined with the driving habits of the driving personnel and the different driving environment, gives a targeted maintenance cycle suggestion, which greatly guarantees the driving safety. And the owner can choose the maintenance item selection according to the state of the accessories displayed according to the maintenance reminder content, greatly reducing the maintenance cost of the vehicle, and truly maintaining the maintenance on demand.

Wherein, the above-mentioned maintenance proposal proposal and feedback related processing may be performed independently by the server or the terminal device, or may be performed by the server and the terminal device. For example, the server determines the usage status information of the vehicle, and the terminal device determines the maintenance suggestion based on the use status information and plays the maintenance suggestion, so that the user of the vehicle is reminded even if the user is used.

It should be noted that, for the method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should It is to be understood that the embodiments of the present invention are not limited by the described order of acts, as some steps may be performed in other sequences or concurrently in accordance with the embodiments of the present invention. In the following, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

Embodiment 3

Based on the foregoing embodiments, an embodiment of the present invention further provides a vehicle data processing apparatus.

Referring to FIG. 5, a block diagram of an embodiment of a vehicle data processing apparatus according to the present invention is shown. Specifically, the system may include a module: a status determining module 502, configured to determine a usage status of the vehicle according to the vehicle data. Information, wherein the vehicle information includes: travel track data and vehicle related information.

The maintenance suggestion generation module 504 is configured to determine a maintenance suggestion of the accessory of the vehicle according to the use status information of the vehicle and the maintenance configuration information.

In summary, determining the usage status information of the vehicle according to the vehicle information, thereby analyzing the actual behavior of the vehicle to determine the actual loss of the vehicle, and determining the location according to the usage status information and the maintenance configuration information of the vehicle. Maintenance recommendations for the accessories of the vehicle, resulting in targeted maintenance advice for the vehicle and improved accuracy of the recommendations.

Referring to Figure 6, another vehicle data processing of the present invention is shown The block diagram of the device embodiment may specifically include the following modules: an optimization generating module 500 for performing feature extraction on vehicle data of each vehicle; analyzing according to the extracted vehicle characteristics, and performing the maintenance Configure information for optimization.

The status determining module 502 is configured to determine usage status information of the vehicle according to the vehicle data.

The maintenance suggestion generation module 504 is configured to determine a maintenance suggestion of the accessory of the vehicle according to the use status information of the vehicle and the maintenance configuration information.

The feedback module 506 is configured to feed back maintenance suggestions of the vehicle to remind the maintenance of the vehicle.

The vehicle information includes: driving track data and vehicle related data.

The state determination module 502 includes a road matching sub-module 5022 for matching the travel track data and the map data to determine road information of the vehicle.

The analysis sub-module 5024 is configured to perform analysis according to the road information and the vehicle related data, and determine the usage status information of the vehicle.

The analysis sub-module 5024 is configured to extract vehicle features from the road information and the vehicle-related data; perform classification analysis on the vehicle features according to the accessories of the vehicle, to generate accessories of the vehicle Corresponding usage status information.

The vehicle related information includes at least one of the following: sensor data, meteorological data, usage behavior data, historical maintenance and repair resources material.

The maintenance configuration information includes: a feature tag of the accessory and design life information.

The maintenance suggestion generating module 504 includes: a weighting calculation sub-module 5042, configured to determine 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 .

A sub-module 5044 is suggested for determining a maintenance recommendation for the accessory of the vehicle based on the weighting value and design life information.

The weighting calculation sub-module 5042 is configured to determine a feature label of the accessory of the vehicle, and the vehicle usage status information of the accessory of the vehicle is matched with the corresponding feature tag to determine that the feature tag corresponds to a tag score; calculating a weight value of the accessory of the vehicle based on a tag score of the feature tag and a weight of the feature tag.

The optimization generation module 500 includes a collection sub-module 5002 for collecting vehicle information corresponding to the vehicle.

A feature extraction sub-module 5004 is configured to extract feature values of desired vehicle features from each type of vehicle profile.

The matching sub-module 5006 is configured to match the extracted vehicle features and maintenance configuration information to determine a test recommendation result.

And generating a sub-module 5008, configured to compare the test recommendation result with the actual maintenance information, and enter the maintenance configuration information according to the comparison result Line optimization.

In another optional embodiment of the present invention, the maintenance suggestion generating module is configured to generate maintenance configuration information for repairing the accessory when the usage status information of the vehicle includes accessory fault information.

Wherein the vehicle features include: a vehicle basic feature and a use state feature, the use state feature including a travel geographic feature, a vehicle maintenance feature, a driving environment feature, and a usage behavior feature.

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

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

In the embodiment of the present invention, the optimization generation module may be disposed in a cloud device such as a server, and the usage status of the vehicle and the matching state determination module, the maintenance suggestion generation module, and the feedback module It is configured in a cloud device such as a server or configured in a terminal device. Taking the server side implementation as an example, the terminal device can upload the vehicle information and receive the maintenance suggestion, and the terminal device can be a smart mobile device, an in-vehicle device, and other devices capable of receiving data. The terminal device is for receiving an input indicating a vehicle record. The vehicle record includes vehicle information such as the trajectory of the vehicle, how the driver is driving, historical maintenance and repair records, by the terminal device The vehicle data is sent to the cloud, and the cloud analyzes the received vehicle data according to the received vehicle information, and gives feedback to the terminal device on the need for maintenance and repair of the vehicle, and alarm information, that is, after generating maintenance suggestions for the vehicle, the feedback mode is sent back. Group 406 feeds back the vehicle's maintenance recommendations to the terminal device to provide advice to the driver and output alarm information. This alarm message is used to indicate the maintenance and repair required by the vehicle. Therefore, by combining the driving habits of the user, such as the owner of the vehicle, and the driving usage of the vehicle, the driver is required to provide maintenance and repair suggestions, and the driver can be reminded that the vehicle needs timely maintenance and repair, and maintenance and repair are performed as needed.

In another optional embodiment of the present invention, the interaction between the server and the terminal device may be implemented, for example, the optimization generation module and the state determination module are configured in a cloud device such as a server, and the maintenance proposal is generated. The group and the feedback module are configured in the terminal device. The terminal device may report the vehicle data to the server, and the server determines the usage status information based on the vehicle status analysis, and then returns the vehicle usage status information to the terminal device, and the terminal device uses the vehicle. The status information is input into the maintenance configuration information to obtain the corresponding maintenance and repair suggestions and alarm information, so that the maintenance suggestions and alarm information can be obtained locally in time to facilitate timely maintenance and maintenance of the vehicle. Of course, it is also possible to consider the use state analysis and model matching in the local terminal device of the vehicle, and to determine the maintenance and repair suggestions and the alarm information, which are not limited in the embodiment of the present invention.

In the embodiment of the present invention, the maintenance system is used to notify the user to perform maintenance by the fault signal, wherein the sensors of different models are different, and the corresponding sensor data can be obtained according to the actual vehicle to improve the maintenance. The accuracy of calculations and prompts. For example, for tire tire pressure, it is assumed that the tire needs to be serviced once after 10,000km of travel, usually when it is determined that the mileage is close to 10000km, it is recommended to maintain the tire maintenance, prompting the user's tire to be maintained. However, if the vehicle detects that the tire pressure of the vehicle is problematic when the vehicle travels for 5000 km, the accessory fault information may be generated after detecting the fault signal, thereby promptly reminding the user that the tire needs maintenance and ensuring the vehicle. Drive safely and improve the service life of the vehicle.

In the embodiment of the present invention, the vehicle trajectory data, the sensor data, and the information such as the terrain, the weather, the driving habits of the driver, and the like can be collected, thereby calculating various vehicle information such as the daily road information of the vehicle. The vehicle is analyzed for usage status. Then, the status information is input into the life calculation model corresponding to the accessory for weight calculation, and finally the final recommended maintenance period of the accessory is output. For example, weather has a large impact on the life of air conditioning filters. If the standard maintenance period of the air conditioner filter of a certain model is 6 months, the vehicle use status indicates that the vehicle is driving in a highly polluted area on a daily basis, and the usage status information is imported into the accessory life calculation model of the air conditioner filter. The weighting calculation finally concluded that the recommended air conditioning filter maintenance period for this vehicle was 4 months, prompting the user to perform maintenance.

The embodiment of the invention collects the driver's behavior data, the daily driving environment of the vehicle and the historical maintenance and maintenance of the vehicle materials for large data analysis, and provides targeted maintenance cycle suggestions, thereby enabling maintenance based on the manufacturer's preset standards. Cycle, combined with driving habits of people driving vehicles The environment in which the habits and vehicles are driven is different, and the recommendations for the targeted maintenance cycle are given, which greatly guarantees the safety of driving. And the owner can choose the maintenance item selection according to the state of the accessories displayed according to the maintenance reminder content, greatly reducing the maintenance cost of the vehicle, and truly maintaining the maintenance on demand.

The embodiment further provides a non-volatile readable storage medium, where the storage medium stores one or more programs, and when the one or more modules are applied to the terminal device, the terminal device can be An instruction to perform the following steps: determining usage status information of the vehicle according to the vehicle information, where the vehicle information includes: driving track data and vehicle related information; according to the usage state of the vehicle Information and maintenance configuration information to determine maintenance recommendations for the accessories of the vehicle.

Optionally, determining the usage status information of the vehicle according to the vehicle information, including: matching the driving track data and the map data, determining road information of the vehicle traveling; and according to the road information and traffic The tool associated data is analyzed to determine usage status information of the vehicle.

Optionally, determining, according to the road information and the vehicle related information, the usage status information of the vehicle, including: extracting a vehicle feature from the road information and the vehicle related information; The accessory analyzes the vehicle features to generate usage status information corresponding to the accessories of the vehicle.

Optionally, the vehicle related information includes at least one of the following: Sensor data, meteorological data, usage behavior data, historical maintenance data.

Optionally, the maintenance configuration information includes: a feature tag of the accessory and design life information.

Optionally, determining, according to the usage status information of the vehicle and the maintenance configuration information, the maintenance suggestions of each component in the vehicle, including: according to the usage status information of the vehicle and the characteristics of the accessory of the vehicle a tag determining a weighting value of the accessory of the vehicle; and determining a maintenance suggestion for the accessory of the vehicle based on the weighting value and design life information.

Optionally, determining a weighting value of the accessory of the vehicle according to the usage status information of the vehicle and the feature tag of the accessory of the vehicle, including: determining a feature tag of the accessory of the vehicle; The usage status information of the accessory of the vehicle is matched with the corresponding feature tag, and the tag score corresponding to the feature tag is determined; and the vehicle score is calculated according to the tag score of the feature tag and the weight of the feature tag. The weighted value of the accessory.

Optionally, determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, including: when the usage status information of the vehicle includes accessory failure information, generating the Maintenance configuration information for accessories to be overhauled.

Optionally, the method further includes: performing feature extraction on the vehicle data of each vehicle; and performing optimization according to the extracted vehicle characteristics to optimize the maintenance configuration information.

Optionally, the extracting the vehicle data of each vehicle comprises: collecting vehicle data corresponding to the huge amount of vehicles; and extracting characteristic values of the required vehicle features from each type of vehicle data.

Optionally, the analyzing, according to the extracted vehicle characteristics, to optimize the maintenance configuration information, including: matching the extracted vehicle features and maintenance configuration information, and determining a test recommendation result; The test recommendation results are compared with the actual maintenance information, and the maintenance configuration information is optimized according to the comparison result.

Optionally, the method further includes: feeding back maintenance suggestions of the vehicle to remind the vehicle maintenance.

Optionally, the vehicle features include: a vehicle basic feature and a use state feature, the use state feature including a travel geographic feature, a vehicle maintenance feature, a driving environment feature, and a usage behavior feature.

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 usage state characteristics.

Optionally, the step of generating the maintenance configuration information is further generated: generating maintenance configuration information of the usage status feature according to the usage state characteristic of the vehicle and the actual maintenance information.

Optionally, the step of generating the maintenance configuration information is: generating maintenance configuration information of each accessory and the usage status feature according to the usage status characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information.

FIG. 7 is a schematic structural diagram of a hardware structure of a terminal device according to an embodiment of the present invention. 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. Communication bus 74 is used to implement communication connections between components. The memory 73 may include a high speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory. The memory 73 may store various programs for performing various processing functions and implementing the method of the embodiment. step.

Optionally, the processor 21 can be, for example, a central processing unit (CPU), an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), and a programmable program. Designed by a logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic component coupled to the input device 20 by a wired or wireless connection And output device 22.

Optionally, the input device 20 may include multiple input devices, for example, at least a user-facing user interface, a device-oriented device interface, a software-programmable interface, a transceiver, and a vehicle acquisition device. One. Optionally, the device-oriented device interface may be a wired interface for data transmission between the device and the device, or a hardware insertion interface (for example, a USB interface or a serial port) for data transmission between the device and the device. Optionally, the user-oriented user interface can be, for example, a user-oriented control button, a voice input device for receiving voice input, and a user receiving user touch input. The touch sensing device (for example, a touch screen with a touch sensing function, a touch panel, etc.); optionally, the programmable interface of the software may be, for example, an input for the user to edit or modify the program, such as a chip. The input pin interface or the input interface, etc.; optionally, the transceiver may be a radio frequency transceiver chip with communication function, a baseband processing chip, and a transceiver antenna. The collection device of the vehicle includes a plurality of different 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 to analyze the driver's usage behavior, and the fault sensor is used to identify whether the corresponding accessory has failed. During the operation of the vehicle, the built-in sensor detects its own data and generates sensor data. Depending on the vehicle, the built-in sensor can obtain different sensor data.

The terminal device in the embodiment of the present invention is a universal terminal device. The terminal device can be, for example, a mobile terminal, an in-vehicle terminal or the like. The mobile terminal or the in-vehicle terminal may specifically be a control device for a vehicle. For the embodiment in which the terminal device is a control device for a vehicle, the present invention provides another embodiment for introduction. Embodiments are not described in detail herein.

In this embodiment, the processor of the terminal device includes means for executing the optimization generation module, the state determination module, the maintenance suggestion generation module, and the feedback module, and the specific functions and technical effects refer to the above embodiment. That's it, so I won't go into details here.

The terminal device provided in this embodiment may be used to perform step 302 to step 310 in the foregoing method embodiment, and the implementation principle and technical effects thereof are as follows. The embodiments are similar, and the details are not described herein again.

FIG. 8 is a schematic structural diagram of a hardware structure of a terminal device according to another embodiment of the present invention. Figure 8 is a specific embodiment of the implementation of Figure 7. As shown in FIG. 8, the terminal device of this 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 FIGS. 1 to 4 in the above embodiment.

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

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

Processing component 20 typically controls the overall operation of the terminal device. 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 Figures 1-4 above. In addition, processing component 20 may include one or more modules to facilitate interaction between component 20 and other components. For example, processing component 20 can include a multimedia module to facilitate interaction between multimedia component 25 and processing component 20.

Power component 24 provides power to the various components of the terminal device. The power component 24 can include a power management system, one or more power sources, and He is involved in generating, managing, and distributing power related components for end devices.

The multimedia component 25 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen can include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor can sense not only the boundary of the touch or slide action, but also the duration and pressure associated with the touch or slide operation.

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

The input/output interface 27 provides an interface between the processing component 20 and the peripheral interface module, and the peripheral interface module may be a click wheel, a button, or the like. These buttons may include, but are not limited to, a volume button, a start button, and a lock button.

The sensor element 28 includes one or more sensors for providing status assessment of various aspects to the terminal device. For example, sensor element 28 can detect the on/off state of the terminal device, the relative positioning of the components, and the presence or absence of contact of the user with the terminal device. The sensor element 28 can include a proximity sensor configured to have no physical contact When detecting the presence of nearby objects. In some embodiments, the sensor element 28 can also include an accelerometer, a gyroscope sensor, a gravity sensor, and the like.

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

As can be seen from the above, the communication element 23, the audio element 26 and the input/output interface 27 in the embodiment of Fig. 8 can be implemented as an input device in the embodiment of Fig. 7.

Based on the description of the universal terminal device of the embodiment shown in FIG. 7, the present invention further provides a control device for a vehicle, which is a specific implementation manner of the terminal device for the vehicle.

Optionally, the control device of the vehicle may be a vehicle equipment, an additional control device after the vehicle leaves the factory, and the like.

Specifically, the control device for the vehicle may include: an onboard input device, an onboard processor; and optionally, an onboard output device and other additional devices.

It should be noted that the airborne in the "airborne input device", "airborne output device", and "airborne processor" according to the embodiments of the present invention may be an "vehicle input device" carried on a vehicle, "Car-mounted output device" and "vehicle processor" can also be "airborne input devices" carried on the aircraft. The "airborne output device" and the "airborne processor" may also be devices carried on other types of vehicles. The meaning of the "airborne" is not limited in the embodiment of the present invention. For example, the onboard input device may be an in-vehicle input device, the onboard processor may be an onboard processor, or the onboard output device may be an onboard output device.

The above-described in-vehicle input device may include various input devices depending on the type of vehicle installed, and may include, for example, a user-oriented in-vehicle user interface, a device-oriented in-vehicle device interface, a software in-vehicle programmable interface, and a transceiver. At least one of a collection device of a letter machine and a vehicle. Optionally, the device-oriented in-vehicle device interface may be a wired interface for data transmission between the device and the device (for example, a connection interface with a driving recorder on a center console of the vehicle), or may be used for the device. a hardware insertion interface (for example, a USB interface, a serial port, etc.) for data transmission between the device; optionally, the user-oriented in-vehicle user interface may be, for example, a steering wheel control button for a vehicle, for a large vehicle or A central control button for a small vehicle, a voice input device for receiving voice input (for example, a microphone placed on a steering wheel or a steering rudder, a central sound collection device, etc.), and a user receiving touch of a user's touch input A sensing device (such as a touch screen with a touch sensing function, a touch panel, etc.), the collecting device of the vehicle includes a plurality of different devices, such as a sensor, a GPS, etc., wherein the sensor includes a gyroscope and each The fault sensor corresponding to the accessory. The gyroscope is used to analyze the driver's usage behavior, and the fault sensor is used to identify whether the corresponding accessory has failed. During the operation of the vehicle, the built-in sensor detects its own data and generates sensor data. Depending on the vehicle, different sensors can be used to obtain different sensor data. Alternatively, the on-board programmable interface of the software can be edited or modified by the user in the vehicle control system. The input port, for example, the input pin interface or the input interface of the large and small chips in the vehicle; optionally, the transceiver may be a radio frequency transceiver chip with a communication function in the vehicle, a baseband processing chip, and a transceiver antenna. . According to the method in the embodiment corresponding to FIG. 1 to FIG. 4 above, the onboard input device is configured to receive maintenance configuration information of the vehicle. Correspondingly, when the control device for the vehicle is a central control unit or other device on the vehicle, the in-vehicle input device may be a device transmission interface that communicates with various service sources inside the vehicle, or may have a communication function. Transceiver. The onboard input device is also operative to receive various commands triggered by the user. Correspondingly, when the control device for the vehicle is a central control unit or other device on the vehicle, the onboard input device may be a steering wheel control button for the vehicle, a central control button for a large vehicle or a small vehicle. A voice input device for receiving voice input and a touch sensing device for receiving a user's touch input (for example, a touch screen with a touch sensing function, a touch panel, etc.).

The onboard processor can use various application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices, depending on the type of vehicle being installed. (PLD), field programmable gate array (FPGA), central processing unit (CPU), controller, microcontroller, microprocessor or other electronic component implementation and used to perform the above methods. on The onboard processor is coupled to the onboard input device and the onboard output device by an in-vehicle line or wireless connection. The above-described onboard processor can perform the method in the embodiment corresponding to the above-described FIGS. 1 to 4.

The above-described onboard output device may be a transceiver that establishes wireless transmission with a user's handheld device or the like, or may be various display devices on the vehicle, depending on the type of vehicle installed. The display device may be various display devices used in the industry, or may be a head up display having a projection function. The airborne output device of this embodiment can perform the method in the embodiment corresponding to FIG. 1 to FIG. 4 described above.

The embodiment of the invention further provides a processor readable storage medium, wherein 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 FIG. 4 in the above embodiment. The processor readable storage medium is similar to the non-volatile readable storage medium described above and therefore will not be described again.

The embodiment of the present invention further provides an in-vehicle internetwork system. As shown in FIG. 9, the in-vehicle internetwork system includes: an input device control unit 902, and controls an in-vehicle input device to receive vehicle information of the vehicle, the traffic. The tool information includes at least one of the following: travel track data, vehicle related data.

The maintenance determining unit 904 determines the usage status information of the vehicle according to the vehicle information, and determines a maintenance suggestion of the accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information.

An output device control unit 906 that controls the onboard output device to output the Maintenance recommendations determined by the maintenance determination unit.

Optionally, the maintenance determining unit matches the driving track data and the map data to determine road information that the vehicle travels; and analyzes the road information and the vehicle related data to determine the use of the vehicle. Status information.

Optionally, the maintenance determining unit extracts a vehicle feature from the road information and the vehicle related information; and classifies and analyzes the vehicle feature according to the accessory of the vehicle to generate a corresponding component of the vehicle Use status information.

Optionally, the vehicle related information includes at least one of the following: sensor data, weather data, usage behavior data, and historical maintenance data. The maintenance configuration information includes: feature tags of the accessory and design life information.

Optionally, the maintenance determining unit determines a weighting value of the accessory of the vehicle according to the usage status information of the vehicle and the feature label of the accessory of the vehicle; and, according to the weighting value and the design life information Determining maintenance recommendations for the accessories of the vehicle.

Optionally, the maintenance determining unit determines a feature tag of the accessory of the vehicle; and uses the usage status information of the accessory of the vehicle to match the corresponding feature tag, and determines a tag score corresponding to the feature tag; A tag score of the feature tag and a weight of the feature tag are calculated, and a weight value of the accessory of the vehicle is calculated.

Optionally, the maintenance determining unit generates an maintenance of the accessory when the usage status information of the vehicle includes accessory failure information. Protection configuration information.

Optionally, the output device control unit controls the vehicle-mounted output device to output the maintenance suggestion of the vehicle that is returned by the maintenance determining unit to remind the maintenance of the vehicle.

For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

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

Those skilled in the art will appreciate that embodiments of the embodiments of the invention may be provided as a method, apparatus, or computer program product. Thus, embodiments of the invention may take the form of a complete hardware embodiment, a full software embodiment, or an embodiment combining soft and hardware aspects. Moreover, embodiments of the present invention may employ computer program products implemented on one or more computer usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) including computer usable code. form.

In a typical configuration, the computer device includes one or more processors (CPUs), input/output interfaces, a network interface, and memory. The memory may include non-permanent memory, random access memory (RAM) and/or non-volatile memory in computer readable media 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 permanent and non-permanent, removable and non-removable media can be implemented by any method or technology Save. Information can be computer readable instructions, data structures, modules of programs, or other materials. 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), and other types of random access memory (RAM). Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM only, digitally versatile A compact disc (DVD) or other optical storage, magnetic cassette, magnetic tape storage or other magnetic storage device or any other non-transportable medium can be used to store information that can be accessed by the terminal device. As defined herein, computer readable media does not include non-persistent computer readable media, such as modulated data signals and carrier waves.

Embodiments of the invention are described with reference to flowchart illustrations and/or block diagrams of a method, a terminal device (system), and a computer program product according to an embodiment of the invention. It will be understood that each flow and/or block of the flowcharts and/or <RTIgt; These computer program instructions can be provided to a general purpose computer, a special purpose computer, an embedded processor or other programmable data processing terminal device processor to generate a machine for processing a terminal device processor by computer or other programmable data The executed instructions produce means for implementing the functions specified in one or more flows of the flowchart or in a block or blocks of the flowchart.

These computer program instructions can also be stored in computer readable memory that can boot a computer or other programmable data processing terminal device to work in a specific manner. The instructions stored in the computer readable memory are generated to include an article of manufacture of the instruction device, the instruction device being implemented in one or more blocks of a flow or a flow and/or a block diagram of the flowchart Features.

These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device to perform a series of operational steps on a computer or other programmable terminal device to produce computer-implemented processing for use on a computer or other programmable computer. The instructions executed on the design terminal device provide steps for implementing the functions specified in one or more flows of the flowchart or in a block or blocks of the flowchart.

While the preferred embodiment of the present invention has been described, those skilled in the art can make further changes and modifications to these embodiments once they are aware of the basic progressive concepts. Therefore, the scope of the appended claims is intended to be construed as a

Finally, it should also be noted that in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities. There is any such actual relationship or order between operations. Furthermore, the terms "comprising," "comprising," or "includes" or "include" or "the" Other elements that are included, or include elements inherent to such a process, method, article, or terminal device. In the absence of more restrictions, elements defined by the phrase "including one..." are not excluded from the inclusion of the elements. There are additional identical elements in the process, method, article or terminal device.

The vehicle data processing method and a vehicle data processing device provided by the present invention are described in detail above. The principles and implementation manners of the present invention are described in the following. The description of the above embodiments is only used. To help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in specific embodiments and application scopes. The content should not be construed as limiting the invention.

Claims (48)

A vehicle data processing method includes: determining usage status information of the vehicle according to vehicle data; the vehicle data includes at least one of: driving track data, vehicle related data; Use the status information and the maintenance configuration information to determine maintenance recommendations for the accessories of the vehicle. The method of claim 1, wherein determining the usage status information of the vehicle according to the vehicle data comprises: matching the driving track data and the map data to determine that the vehicle is traveling. Road information; analyzing the road information and the vehicle related information to determine the usage status information of the vehicle. The method of claim 2, wherein the determining, according to the road information and the vehicle related data, the usage status information of the vehicle, including: from the road information and the vehicle related information. Extracting vehicle features; classifying and analyzing the vehicle features according to the accessories of the vehicle, and generating usage status information corresponding to the accessories of the vehicle. The method of any one of claims 1 to 3, wherein the vehicle-related material includes at least one of the following: sensor data, weather data, usage behavior data, historical maintenance and repair resources material. The method of claim 1, wherein the maintenance configuration information comprises: a feature tag of the accessory and design life information. The method of claim 5, wherein the maintenance suggestion of each accessory in the vehicle is determined according to the use status information of the vehicle and the maintenance configuration information, including: according to the use status of the vehicle Information and a feature tag of the accessory of the vehicle, determining a weighting value of the accessory of the vehicle; and determining a maintenance suggestion for the accessory of the vehicle based on the weighting value and design life information. The method of claim 6, wherein determining the weighting value of the accessory of the vehicle according to the usage status information of the vehicle and the feature tag of the accessory of the vehicle comprises: determining the a feature tag of the accessory of the vehicle; matching the usage status information of the accessory of the vehicle with the corresponding feature tag, determining a tag score corresponding to the feature tag; and determining a tag score and the feature according to the feature tag The weight of the tag, the weighting value of the accessory of the vehicle is calculated. The method of claim 1, wherein the maintenance recommendation of the accessory of the vehicle is determined according to the usage status information of the vehicle and the maintenance configuration information, including: when the usage status information of the vehicle When the accessory failure information is included, a maintenance configuration information for repairing the accessory is generated. The method of claim 1, further comprising: feeding back a maintenance suggestion of the vehicle to alert the maintenance of the vehicle. The method of claim 1, further comprising: performing feature extraction on vehicle data of each vehicle; and performing optimization according to the extracted vehicle characteristics to optimize the maintenance configuration information. The method of claim 10, wherein the extracting the vehicle data of each vehicle comprises: collecting vehicle information corresponding to the vehicle; extracting required data from each type of vehicle Characteristic values of the vehicle characteristics. The method of claim 10, wherein the analyzing the extracted vehicle characteristics to optimize the maintenance configuration information comprises: extracting the extracted vehicle characteristics and maintenance configuration information Matching is performed to determine a test suggestion result; the test suggestion result is compared with actual maintenance information, and the maintenance configuration information is optimized according to the comparison result. The method of claim 3, 10, 11 or 12, wherein the vehicle feature comprises: a vehicle basic feature and a use state feature, the use state feature comprising a driving geographic feature, Tool maintenance features, driving environment characteristics and usage behavior characteristics. The method of claim 1, wherein the maintenance configuration information includes maintenance configuration information for different models and different accessories. The method of claim 13, wherein the maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, and different usage state characteristics. The method of claim 15 , further comprising the step of generating maintenance configuration information: generating maintenance configuration information of the usage status feature according to the usage state characteristic of the vehicle and the actual maintenance information. The method of claim 15, further comprising the step of generating maintenance configuration information: generating maintenance configurations of each accessory and usage status characteristics according to the use status characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information News. The method of claim 1, wherein the server determines the usage status information of the vehicle according to the vehicle information; and determines the vehicle according to the usage status information of the vehicle and the maintenance configuration information. The maintenance suggestion of the accessory; or the terminal device determines the use status information of the vehicle according to the vehicle information; and determines the maintenance suggestion of the accessory of the vehicle according to the use status information of the vehicle and the maintenance configuration information. According to the method of claim 1, wherein The server determines the usage status information of the vehicle according to the vehicle information; and the terminal device determines the maintenance recommendation of the accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information. A vehicle data processing device includes: a state determining module, configured to determine usage state information of the vehicle according to the vehicle data, where the vehicle data includes: driving track data and vehicle related information; And a module, configured to determine a maintenance suggestion of the accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information. The device of claim 20, wherein the state determining module comprises: a road matching sub-module, configured to match the driving track data and the map data to determine the driving of the vehicle The road information; the analysis sub-module is configured to perform analysis according to the road information and the vehicle-related data, and determine the usage status information of the vehicle. The device of claim 21, wherein the analysis sub-module is configured to extract a vehicle feature from the road information and the vehicle-related data; and the traffic is in accordance with the accessory of the vehicle The tool features are classified and analyzed to generate usage status information corresponding to the accessories of the vehicle. The apparatus of any one of claims 20 to 22, wherein the vehicle-related material comprises at least one of the following: Sensor data, meteorological data, usage behavior data, historical maintenance data. The device of claim 20, wherein the maintenance configuration information comprises: a feature tag of the accessory and design life information. The device of claim 24, wherein the maintenance suggestion generation module comprises: a weighting calculation sub-module for using the state information of the vehicle and the characteristics of the accessory of the vehicle a tag determining a weighting value of the accessory of the vehicle; and a determination sub-module for determining a maintenance suggestion for the accessory of the vehicle based on the weighting value and design life information. The device of claim 25, wherein the weighting calculation sub-module is configured to determine a feature tag of the accessory of the vehicle; and the vehicle usage status information and corresponding use of the accessory of the vehicle The feature tag is matched, and the tag score corresponding to the feature tag is determined; and the weight value of the accessory of the vehicle is calculated according to the tag score of the feature tag and the weight of the feature tag. The device according to claim 20, wherein the maintenance suggestion generating module is configured to generate maintenance configuration information for repairing the accessory when the use state information of the vehicle includes accessory fault information. . The device of claim 20, further comprising: a feedback module for feeding back maintenance suggestions of the vehicle, to Remind the maintenance of the vehicle. The device of claim 20, further comprising: an optimization generating module for performing feature extraction on vehicle data of each vehicle; analyzing according to the extracted vehicle characteristics, Maintenance configuration information is optimized. The device of claim 29, wherein the optimization generation module comprises: a collection sub-module for collecting vehicle data corresponding to the vehicle; and a feature extraction sub-module for The characteristic values of the required vehicle features are extracted for each type of vehicle data. The device of claim 29, wherein the optimization generation module comprises: a matching sub-module for matching the extracted vehicle features and maintenance configuration information to determine test recommendations As a result, a sub-module is generated for comparing the test recommendation result with the actual maintenance information, and optimizing the maintenance configuration information according to the comparison result. The device of claim 22, 20, 30 or 31, wherein the vehicle feature comprises: a vehicle basic feature and a use state feature, the use state feature comprising a travel geographic feature, a vehicle maintenance feature , driving environment characteristics and usage behavior characteristics. According to the device of claim 20, wherein The maintenance configuration information includes maintenance configuration information for different models and different accessories. The device according to claim 20, wherein the maintenance configuration information includes maintenance configuration information corresponding to different models, different accessories, and different usage state characteristics. The device according to claim 34, further comprising: an optimization generating module, configured to generate maintenance configuration information of the usage state feature according to the usage state characteristic of the vehicle and the actual maintenance information. The device according to claim 34, further comprising: an optimization generating module, configured to generate each component and use state characteristics according to the use state characteristics of the vehicle and the maintenance information of each accessory in the actual maintenance information. Maintenance configuration information. The device according to claim 20, wherein the state determination module and the maintenance suggestion generation module are applied to the server; or the state determination module and the maintenance suggestion generation module are applied to the terminal device in. The method of claim 20, wherein the state determination module is applied to a server; and the maintenance suggestion generation module is applied to the terminal device. A terminal device comprising: one or more processors; a memory; and One or more modules, the one or more modules being stored in the memory and configured to be executed by the one or more processors, wherein the one or more modules are configured for The method of any one of the above claims 1 to 19. A terminal device, comprising: an input device and a processor; the input device is configured to receive vehicle information of the vehicle; the processor is coupled to the input device, and configured to use the vehicle data according to the vehicle Determining the usage status information of the vehicle, determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, wherein the vehicle information includes at least one of the following: driving Track data, vehicle related data. The terminal device of claim 40, further comprising: an output device; the output device coupled to the processor, for outputting the accessory of the vehicle determined by the processor Maintenance advice. The terminal device of claim 41, wherein the input device comprises at least one of a software programmable interface, a transceiver, and a vehicle acquisition device. The terminal device according to any one of the preceding claims, wherein the processor is further configured to perform the method of any one of the above-mentioned claims. The terminal device of claim 43, wherein the input device further comprises: a user interface and a face facing the user The device interface to the device; the output device includes: a user interface for the user, and a device interface for the device. A control device for a vehicle, comprising: an onboard input device, an onboard processor; an onboard input device for receiving vehicle information of the vehicle; and an onboard processor coupled to the onboard input device Determining, according to the vehicle information, determining usage status information of the vehicle, and determining maintenance suggestions for the accessories of the vehicle according to the usage status information of the vehicle and the maintenance configuration information, where The vehicle information includes at least one of the following: travel track data, vehicle related information. The control device of claim 45, wherein the onboard input device comprises at least one of a software programmable interface, a transceiver, and a vehicle acquisition device. The control device according to claim 45, wherein the on-board processor is further configured to perform the method of any one of the above-mentioned claims. An in-vehicle internetwork system includes: an input device control unit that controls a vehicle input device to receive vehicle information of a vehicle, wherein the vehicle data includes at least one of: a travel track data, a vehicle associated data, and a maintenance Determining a unit, determining, according to the vehicle information, usage status information of the vehicle, and determining maintenance of an accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information It is recommended that the output device control unit controls the onboard output device to output the maintenance suggestion determined by the maintenance determining unit.