WO2017190595A1 - Procédé, appareil et dispositif terminal de traitement de données de véhicule - Google Patents

Procédé, appareil et dispositif terminal de traitement de données de véhicule Download PDF

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Publication number
WO2017190595A1
WO2017190595A1 PCT/CN2017/081379 CN2017081379W WO2017190595A1 WO 2017190595 A1 WO2017190595 A1 WO 2017190595A1 CN 2017081379 W CN2017081379 W CN 2017081379W WO 2017190595 A1 WO2017190595 A1 WO 2017190595A1
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WIPO (PCT)
Prior art keywords
vehicle
maintenance
data
information
accessory
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PCT/CN2017/081379
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English (en)
Chinese (zh)
Inventor
张稚迅
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斑马网络技术有限公司
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Publication of WO2017190595A1 publication Critical patent/WO2017190595A1/fr

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/006—Indicating maintenance
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G07C5/085—Registering performance data using electronic data carriers

Definitions

  • the present application relates to the field of data processing technologies, and in particular, to a vehicle data processing method, a vehicle data processing device, and a terminal device.
  • 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 people's social life. For example, users can travel by car, train, plane, etc. Vehicles are usually made up of a number of components, each with a certain service 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.
  • 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.
  • Vehicle maintenance mainly includes maintenance ranges for engine systems (engines), transmission systems, air conditioning systems, cooling systems, fuel systems, power steering systems, and the like.
  • the usual way to maintain a vehicle is to set a maintenance countdown from the mileage/time dimension to remind the user of vehicle maintenance based on the manufacturer's defined accessory life.
  • the technical problem to be solved by the embodiments of the present application is to provide a vehicle data processing method to improve the accuracy of vehicle maintenance suggestions.
  • the embodiment of the present application further provides a vehicle data processing device and a terminal device, which are used to Ensure the implementation and application of the above methods.
  • the embodiment of the present application discloses a vehicle data processing method, including: determining usage state information of the vehicle according to vehicle data, where the vehicle data includes at least one of: driving track data. And vehicle associated data; 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 present application further discloses a vehicle data processing apparatus, including: a state determining module, configured to determine usage state information of the vehicle according to the vehicle data, where the vehicle data includes at least one of: driving The trajectory data and the vehicle associated data; the maintenance suggestion generating module is configured to determine a maintenance suggestion of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information.
  • a state determining module configured to determine usage state information of the vehicle according to the vehicle data, where the vehicle data includes at least one of: driving The trajectory data and the vehicle associated data
  • the maintenance suggestion generating module is configured to determine a maintenance suggestion of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information.
  • the embodiment of the present application further discloses a terminal device, including: one or more processors; a memory; and one or more modules, wherein the one or more modules are stored in the memory and configured to be Executing by one or more processors, wherein the one or more modules are configured to perform the methods described in the embodiments of the present application.
  • the embodiment of the present application further discloses a terminal device, including: an input device and a processor; the input device is configured to receive vehicle data of the vehicle; and the processor is coupled to the input device for Determining, by the vehicle data, usage status information of the vehicle, determining a maintenance suggestion of the accessory of the vehicle according to the use status information of the vehicle and the maintenance configuration information, where the vehicle data includes at least the following One: driving track data, vehicle related data.
  • the embodiment of the present application further discloses a control device for a vehicle, including: an onboard input device, an onboard processor; an onboard input device for receiving vehicle data of the vehicle; an onboard processor, coupled And the onboard input device is configured to determine usage status information of the vehicle according to the vehicle data, and determine an accessory of the vehicle according to the usage status information of the vehicle and the maintenance configuration information.
  • the maintenance suggestion, the vehicle data includes at least one of: driving track data, vehicle associated data.
  • the embodiment of the present application further discloses an in-vehicle Internet operating system, including: an input device control unit that controls the in-vehicle input device to receive vehicle data of the vehicle; and a maintenance determining unit that determines 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 data including at least one of: driving track data, vehicle associated data; And an output device control unit that controls the vehicle-mounted output device to output the maintenance suggestion determined by the maintenance determining unit.
  • the embodiments of the present application include the following advantages:
  • the vehicle data includes at least one of the following: driving Trajectory data, vehicle associated data, determining usage status information of the vehicle, thereby analyzing actual behavior of the vehicle to determine actual loss of the vehicle, and determining the location according to the usage status information and maintenance configuration information of the vehicle Maintenance recommendations for the accessories of the vehicle are generated to generate targeted maintenance recommendations for the vehicle and to improve the accuracy of the recommendations.
  • FIG. 1 is a flow chart showing the steps of an embodiment of a vehicle data processing method of the present application
  • FIG. 2 is a flow chart showing the steps of an embodiment of a method for processing maintenance configuration information according to the present application
  • FIG. 3 is a flow chart showing the steps of another embodiment of the vehicle data processing method of the present application.
  • 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 application.
  • FIG. 5 is a structural block diagram of an embodiment of a vehicle data processing apparatus of the present application.
  • FIG. 6 is a structural block diagram of another embodiment of a vehicle data processing apparatus of the present application.
  • FIG. 7 is a schematic structural diagram of hardware of a terminal device according to an embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of hardware of a terminal device according to another embodiment of the present disclosure.
  • FIG. 9 is a schematic diagram of an in-vehicle Internet operating system of the present application.
  • One of the core concepts of the embodiments of the present application is to provide a vehicle data processing method and apparatus to accurately present vehicle maintenance suggestions. Determining the usage status information of the vehicle according to the vehicle data, 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 to generate targeted maintenance recommendations for the vehicle and to improve the accuracy of the 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.
  • vehicles for example, internal combustion engine vehicles, electric vehicles, pneumatic vehicles, hybrid vehicles, hybrid electric vehicles, motorcycles, electric bicycles, electric balance vehicles, remote control vehicles, and various types of deformation; other vehicles with corresponding control functions
  • it may be a small aircraft (for example, an unmanned aerial vehicle, a small manned aircraft), a yacht, and various deformations.
  • FIG. 1 a flow chart of steps of an embodiment of a vehicle data processing method of the present application 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.
  • users of vehicles often do not know when maintenance is needed, so it is necessary to promptly prompt the user of the vehicle for maintenance.
  • the embodiment presets maintenance configuration information for determining maintenance suggestions for the accessories in the vehicle, thereby calculating the life of the vehicle accessories through the maintenance configuration information and proposing corresponding maintenance suggestions.
  • the accessories include parts and components of the assembly machine.
  • vehicle related vehicle data is collected, and the vehicle data includes at least one of: driving trajectory data, vehicle associated data, wherein the driving trajectory data is positioning data of a vehicle driving trajectory, for example
  • the geographical location data including the respective track points in the traveling track can be acquired by a vehicle such as a car through GPS or the like.
  • the vehicle associated data is various data related to the vehicle, such as data of sensors in the vehicle, travel weather data, and the like, which affect various data of the vehicle.
  • the vehicle data is then analyzed to determine usage status information of the vehicle, for example, using vehicle data to analyze the vehicle related information of the vehicle, determining 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, and so on.
  • 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.
  • the braking system of the vehicle is recommended to be inspected every eight months, and the user's vehicle is often traveling in a congested city, and the user is accustomed to sudden braking
  • the corresponding state information and maintenance configuration information are determined.
  • the user needs to overhaul the brake system within 2 months and it is recommended to check it once every six months.
  • 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, each charging time is about 10 hours.
  • the battery has been used for about 8 months, and the storage capacity is less than 60%.
  • the corresponding use status information and maintenance configuration information it is determined that the user's battery should be replaced, and it is recommended that the battery not exceed 8 charge time per charge. hour.
  • the maintenance configuration information may be configured to adopt a virtual mathematical model, which is called a component life calculation.
  • the model may use the accessory life calculation model to model match the vehicle usage status information, determine the maintenance suggestion of the vehicle, that is, the loss of each accessory characterized by the vehicle usage status information, and match the maintenance configuration information to determine each
  • 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 relationship or causal relationship between the variables of the system is quantitatively or qualitatively described.
  • 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.
  • determining the usage status information of the vehicle according to the vehicle data thereby analyzing the actual behavior of the vehicle, determining the actual loss condition 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 are generated to generate targeted maintenance recommendations for the vehicle and to improve the accuracy of the recommendations.
  • 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 generated by one or more hardware devices.
  • 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 implemented by the terminal device of the vehicle.
  • a cloud device such as a server
  • the vehicle data is uploaded by the terminal device of the vehicle and the maintenance proposal is received.
  • 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 data such as driving trajectory data of the vehicle, how the driver is driving, historical accessory maintenance and repair records, and the vehicle data is transmitted to the cloud through the terminal device, and the cloud receives the traffic according to the received
  • vehicle data is analyzed, and the terminal device is fed back with suggestions for maintenance and repair of the vehicle, 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.
  • 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.
  • 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 uses the vehicle usage status.
  • the information is fed back to the terminal device, and the terminal device inputs the vehicle use status information into the maintenance configuration information to obtain corresponding maintenance and maintenance suggestions and alarm information, thereby obtaining maintenance suggestions and alarm information in time, so as to facilitate timely maintenance and maintenance.
  • Transportation it is also possible to consider the use state analysis and model matching in the 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 application.
  • the vehicle data includes: driving trajectory data and vehicle associated data
  • the vehicle associated data 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 sensors of the vehicle include a gyroscope and a fault sensor corresponding to each component.
  • the gyroscope is used to analyze the driver's usage behavior
  • the fault sensor is used to identify whether the corresponding accessory has failed.
  • the built-in sensor detects its own data to generate sensor data. Depending on the vehicle, the built-in sensor can obtain different sensor data.
  • Meteorological data is meteorological data of the vehicle's location. 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.
  • the corresponding travel time and the like may be determined based on the travel trajectory data or the like, and then weather data corresponding to the time, such as temperature, rainfall, wind power, and air quality, may be acquired from the network server.
  • the usage behavior data is a customary usage behavior of the driver of the vehicle, for example, the driver often has a sudden braking that affects the braking system and the tire.
  • Information such as changes in acceleration can be determined by the in-vehicle system and sensors, etc., thereby determining whether the user performs a 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 data of the vehicle history, which can include historical maintenance data and historical maintenance data, such as vehicle maintenance time, maintenance items, replacement parts, maintenance time and items, etc., which can be uploaded by 4S shop or vehicle.
  • the server or the like obtains a maintenance record to determine the use and maintenance status of each component in the vehicle.
  • the maintenance advice 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.
  • the vehicle includes various models, such as automobiles and airplanes of various brands and models, so that for different types of vehicles, since the accessories are different, the maintenance of different types of vehicles can be configured. Configuration information.
  • Each vehicle can also have different accessories.
  • 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.
  • each vehicle 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.
  • 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 conservation configuration information can be generated based on the usage status features.
  • the above models, accessories, and usage status features can be combined to obtain corresponding maintenance configuration information, so that the maintenance configuration information includes 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.
  • the method may include the following steps:
  • Step 202 Collect vehicle data corresponding to the vehicle.
  • Step 204 extracting feature values of the required vehicle features from each model of vehicle data.
  • 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.
  • a large amount of vehicle data may be collected in advance, that is, vehicle data of various vehicles is collected from the entire network, wherein the vehicle data may be classified according to the model number, thereby obtaining each
  • the data sets corresponding to the models of the vehicles are stored in the same data table, database, and the like.
  • the vehicle data of each vehicle is extracted according to the model to obtain corresponding vehicle characteristics.
  • Vehicle features include: vehicle basic features and usage status features.
  • 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, and different types of vehicles such as airplanes, internal combustion engines, and electric vehicles are classified according to various models of each type.
  • Vehicle data of the vehicle feature extraction of the vehicle data, for example, collecting vehicle data from N vehicles 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 characteristic values include the vehicle type, the purchase time, and the like; the user uses the state feature to describe the actual use state of the vehicle, such as the road, weather, maintenance, etc. that are frequently driven.
  • the usage status features may include driving geographic features, vehicle maintenance features, driving environment characteristics, and usage behavior characteristics.
  • the driving geographic feature is used to describe geographic location information of the vehicle travel, the corresponding characteristic value includes the type of road that is frequently driven, the area, whether the road is rough or the like, and the vehicle maintenance feature is used to describe the historical maintenance and repair information, and the corresponding characteristic value includes whether Have overhaul records, whether the accessories are replaced on time, the replacement time of the parts, etc.; the driving environment characteristics are used to describe the environmental information of the vehicle, and the corresponding characteristic values include air quality, temperature, air humidity, etc.; Driver's usage behavior information, the corresponding characteristic values include whether the driver likes frequent braking, whether the single trip distance is less than 8 kilometers.
  • the state of use of the accessory of the vehicle may be determined according to the characteristics of the vehicle, each vehicle feature may correspond to one feature tag, and the usage of the accessory may be determined by a combination of vehicle features of the plurality of feature tags, for example, the accessory is an oil filter
  • the vehicle characteristics corresponding to the feature tag may include a usage behavior feature, a driving geographic feature, etc., and the corresponding feature value includes 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 corresponds to
  • the vehicle characteristics may include driving environment characteristics, and specific characteristic values include whether the environment in which the vehicle is located is highly polluted or the like.
  • the analysis 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.
  • 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.
  • 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.
  • optimization 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 application.
  • 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 be delayed 2 If the repair is repeated for a month, the maintenance record is inaccurate and the record can be deleted to filter An accurate actual maintenance record is taken as actual maintenance information.
  • model training can be performed by a logistic regression method to optimize the model, thereby determining vehicle characteristics of each vehicle as training data, and other vehicles that match the vehicle characteristics.
  • the other vehicle includes a vehicle with an actual maintenance record, and other vehicles are used as standard data to perform the comparison.
  • 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.
  • 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, and the accessory life calculation model is optimized.
  • the vehicle characteristics are determined by collecting the vehicle data corresponding to the vehicle, and then the vehicle configuration is determined based on the vehicle characteristics, the maintenance configuration information and the actual maintenance information, and the accuracy of the maintenance configuration information is improved.
  • the generation and optimization of the maintenance configuration information corresponding to the vehicle may be as follows:
  • the method further includes the step of generating the 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 vehicle characteristics that is, the basic characteristics and the use state characteristics of the vehicle
  • the maintenance information of the vehicle in various actual use states may be described for the actual maintenance information, so the usage status may be used.
  • the feature is matched with the actual maintenance information to determine the maintenance conditions corresponding to the various usage states, and the maintenance configuration information of the usage state feature is generated.
  • the actual maintenance information can be continuously collected, and the maintenance configuration information is optimized through the actual maintenance information.
  • the method further includes the step of generating the maintenance configuration information: generating maintenance configuration information of each accessory and the use state feature according to the use state feature of the vehicle and the maintenance information of each accessory in the actual maintenance information.
  • the maintenance configuration information may also be maintenance configuration information for 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 in various use states. Thereby, the maintenance configuration information of each accessory and the maintenance configuration information of the accessory in various use states are obtained.
  • 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 foregoing maintenance configuration information may be implemented in a server in the cloud, and the cloud server collects vehicle data from other servers and terminal devices of the vehicle, and generates and optimizes maintenance configuration information through the foregoing processing steps. 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 stores the maintenance configuration. After the information is sent, the maintenance configuration information is also sent to the terminal device.
  • FIG. 3 a flow chart of the steps of another embodiment of the vehicle data processing method of the present application 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.
  • a usage status analysis of the vehicle may be performed to determine vehicle usage status information. That is, the road information of the vehicle is calculated using the travel track data.
  • the driving trajectory data of the vehicle can be matched with the map data, and the actual road section of each driving trajectory on the map is determined, thereby determining the road information that the vehicle travels, and the road information may include the name of each road, the road type, Data such as travel time, mileage, flight mileage, and nautical miles of each road, and combined with real-time traffic data, historical traffic data, etc., can determine the road congestion, vehicle flow rate, etc. when the vehicle passes the road. Information as one of the road information.
  • 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.). .
  • the road information for traveling is determined by the travel track data, and different road information, road condition information, and the like may have different effects on the tires, engines, and the like of the vehicle.
  • Step 304 Perform analysis according to the road information and the vehicle associated data to determine usage state information of the vehicle.
  • the road type and the vehicle association data 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 trajectory data of each time period is determined to correspond to the weather, real-time 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 use of the vehicle for each accessory by classifying and analyzing various types of vehicle data. status information.
  • the determining, according to the road information and the vehicle association data, the usage state information of the vehicle comprising: extracting a vehicle feature from the road information and the vehicle association data; 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 associated data for example, feature extraction of collected vehicle related data such as sensor data, weather data, usage behavior data, historical maintenance data, etc., to determine feature values of each vehicle feature.
  • the components 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 vehicle features of the category are combined to constitute the vehicle use state information of the accessory.
  • the accessory is an air conditioner filter that determines the vehicle usage status information by analysis of the feature data, such as the vehicle often turning on the air conditioner and the vehicle 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 state 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.
  • 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.
  • 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 the weighting value and the maintenance configuration information are used for each accessory.
  • 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.
  • the following sub-steps can be used:
  • FIG. 4 a flow chart of the steps of calculating the weighting value of the accessory in another embodiment of the vehicle data processing method of the present application is given.
  • Step 402 determining a feature tag of the accessory of the vehicle.
  • Step 404 Match usage state information of the accessory of the vehicle with a corresponding feature tag, and 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.
  • At least one feature label affecting the life of the accessory is configured for each accessory, and 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., the feature tag It can correspond to the type of vehicle data. Pre-configure the weight of each feature tag's impact on the life of the accessory.
  • the feature tag is determined for the accessory, the vehicle feature in the vehicle use state 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.
  • 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 weighted value of the accessory. Then use the weighted value of the accessory and the design life information to perform 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 for the accessory.
  • Step 310 feeding back maintenance suggestions of the vehicle to remind the vehicle maintenance.
  • the maintenance advice of the vehicle can be fed back, so that the maintenance suggestion can remind the vehicle to improve the service life of the vehicle.
  • determining a maintenance suggestion of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information including: when the use state information of the vehicle includes accessory fault information And generating maintenance configuration information for repairing the accessory.
  • the vehicle data includes sensor data, and the sensor data includes fault sensor data, so when the vehicle analysis is performed to extract the vehicle feature from the sensor data, it may be determined whether the feature value is a fault feature value, and if the fault feature value is determined Configuring accessory fault information in the usage status information of the vehicle, so that if the accessory fault information is detected during the matching with the maintenance configuration information, it is confirmed that the accessory is faulty, and the maintenance of the accessory can be generated. Configuration information to prompt the driver to repair in time.
  • the maintenance system is notified by the fault signal to remind the user to perform maintenance.
  • the sensors of different models are different, and the corresponding sensor data can be obtained according to the actual vehicle to improve the calculation of the maintenance and the accuracy of the prompt.
  • the maintenance advice for tire maintenance is generated when the mileage is determined to be close to 10000km, prompting the user's tire to be maintained.
  • the tire pressure of the vehicle is detected by the sensor, and the fault information of the accessory can be generated after detecting the fault signal, thereby promptly reminding the user that the tire needs maintenance, ensuring safe driving and improving the vehicle. Vehicle life.
  • the travel track data of the vehicle, the sensor data, and the information data 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 travel road information of the vehicle as traffic.
  • the tool performs a usage analysis. Then use the status information to enter the life of the accessory
  • the weighting calculation is performed in the calculation model, 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 usage 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 in time.
  • the road has a great impact on the service life of the tire.
  • the tire of the vehicle is recommended to be repaired once in 6 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. It is inspected every 5 months.
  • the embodiment of the present application analyzes the behavior data of the driver, the daily driving environment of the vehicle, and the maintenance data of the historical maintenance, and performs the big data analysis, and gives a targeted maintenance cycle suggestion, so that the maintenance cycle can be based on the manufacturer's preset standard.
  • the recommendations of the targeted maintenance cycle are given, which greatly guarantees the driving safety.
  • 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 related maintenance and the related processing of the feedback may be performed independently by the server or the terminal device, or may be completed by the server and the terminal device.
  • the usage status information of the vehicle is determined, for example, by the server, and the maintenance advice is determined by the terminal device based on the usage status information and the maintenance advice is played, so that the user of the vehicle is reminded even if the user is used.
  • the embodiment of the present application further provides a vehicle data processing apparatus.
  • FIG. 5 a structural block diagram of an embodiment of a vehicle data processing apparatus of the present application is shown, which may specifically include the following modules:
  • the state determining module 502 is configured to determine usage state information of the vehicle according to the vehicle data, where the vehicle data includes: driving track data and vehicle associated data.
  • the maintenance suggestion generation module 504 is configured to determine a maintenance suggestion of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information.
  • determining the usage status information of the vehicle according to the vehicle data thereby analyzing the actual behavior of the vehicle, determining the actual loss condition 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 are generated to generate targeted maintenance recommendations for the vehicle and to improve the accuracy of the recommendations.
  • FIG. 6 a structural block diagram of another embodiment of a vehicle data processing apparatus of the present application is shown, which may specifically include the following modules:
  • the optimization generation module 500 is configured to perform feature extraction on vehicle data of each vehicle; perform analysis according to the extracted vehicle characteristics to optimize the maintenance configuration information.
  • 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 state 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 data includes: travel track data and vehicle associated data.
  • the status determining module 502 includes:
  • the road matching sub-module 5022 is configured to match the driving track data and the map data to determine road information that the vehicle travels.
  • the analysis sub-module 5024 is configured to perform analysis according to the road information and the vehicle associated data to determine usage state information of the vehicle.
  • the analysis sub-module 5024 is configured to extract a vehicle feature from the road information and the vehicle associated data; perform classification analysis on the vehicle feature according to the accessory of the vehicle, and generate an accessory corresponding to the vehicle Usage status information.
  • the vehicle associated data includes at least one of the following: sensor data, weather data, usage behavior data, and historical maintenance data.
  • the maintenance configuration information includes: a feature tag of the accessory and design life information.
  • the maintenance suggestion generating module 504 includes:
  • the weighting calculation sub-module 5042 is 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; The vehicle use state 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; the traffic is calculated according to the tag score of the feature tag and the weight of the feature tag The weighted value of the tool's accessories.
  • the optimization generation module 500 includes:
  • the collection sub-module 5002 is configured to collect vehicle data corresponding to the vehicle.
  • a feature extraction sub-module 5004 is configured to extract feature values of desired vehicle features from each type of vehicle data.
  • the matching sub-module 5006 is configured to match the extracted vehicle features and maintenance configuration information to determine a test suggestion result.
  • the generating submodule 5008 is configured to compare the test suggestion result with the actual maintenance information, and optimize the maintenance configuration information according to the comparison result.
  • 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.
  • 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.
  • the maintenance configuration information includes 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.
  • the optimization generating module 500 is configured to generate maintenance configuration information of the usage state feature according to the usage state feature of the vehicle and the actual maintenance information.
  • the optimization generation module may be configured in a cloud device such as a server, and the usage status determination module, the maintenance suggestion generation module, and the feedback module of the vehicle usage and the maintenance proposal are configured in a cloud device such as a server. Or configured in the terminal device.
  • the terminal devices may be smart mobile devices, in-vehicle devices, and other devices capable of receiving data.
  • the terminal device is for receiving an input indicating a vehicle record.
  • the vehicle record includes vehicle data such as driving trajectory data of the vehicle, how the driver is driving, historical accessory maintenance and repair records, and the vehicle data is transmitted to the cloud through the terminal device, and the cloud receives the traffic according to the received
  • vehicle data is analyzed, and the terminal device is fed back a suggestion that the vehicle needs maintenance and repair, and alarm information, etc., that is, after generating the maintenance suggestion of the vehicle, the feedback module 406 feeds back the maintenance suggestion of the vehicle to the terminal device, thereby giving the driver Provide advice and output alarm information. This alarm message is used to prompt the vehicle Maintenance required.
  • 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.
  • 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 suggestion generation module and the feedback module are configured on 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, and then feeds the vehicle usage status information to the terminal device, where the terminal device inputs the vehicle usage status information. Get the corresponding maintenance and repair suggestions and alarm information in the maintenance configuration information, so that the maintenance suggestions and alarm information can be obtained locally in time to facilitate timely maintenance and maintenance of the vehicle.
  • the maintenance system is notified by the fault signal to remind the user to perform maintenance.
  • the sensors of different models are different, and the corresponding sensor data can be obtained according to the actual vehicle to improve the calculation of the maintenance and the accuracy of the prompt.
  • the maintenance advice for tire maintenance is generated when the mileage is determined to be close to 10000km, prompting the user's tire to be maintained.
  • the tire pressure of the vehicle is detected by the sensor, and the fault information of the accessory can be generated after detecting the fault signal, thereby promptly reminding the user that the tire needs maintenance, ensuring safe driving and improving the vehicle. Vehicle life.
  • the travel track data of the vehicle, the sensor data, and the information data 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 travel road information of the vehicle as traffic.
  • the tool performs a usage status analysis.
  • the usage status information is then 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.
  • 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 usage 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. Weighted calculation, the final recommended air conditioning filter maintenance cycle of this car is 4 months, prompting the user to maintain
  • the embodiment of the present application analyzes the behavior data of the driver, the daily driving environment of the vehicle, and the maintenance data of the historical maintenance, and performs the big data analysis, and gives a targeted maintenance cycle suggestion, so that the maintenance cycle can be based on the manufacturer's preset standard.
  • the recommendations of the targeted maintenance cycle are given, which greatly guarantees the driving safety.
  • the owner of the car is based on the maintenance reminder When carrying out vehicle maintenance, you can refer to the status of the accessories displayed to selectively select maintenance items, greatly reduce the maintenance cost of the vehicle, and truly maintain 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 Instructions (instructions) that perform the following steps:
  • Determining the usage status information of the vehicle according to the vehicle data comprises: driving track data and vehicle associated data; determining the according to the use status information of the vehicle and the maintenance configuration information Maintenance advice for the accessories of the vehicle.
  • determining the usage status information of the vehicle according to the vehicle data including: matching the driving trajectory data and the map data, determining road information that the vehicle travels; and according to the road information and the traffic
  • the tool associates data for analysis to determine usage status information for the vehicle.
  • analyzing, according to the road information and the vehicle association data, determining usage state information of the vehicle including: extracting a vehicle feature from the road information and the vehicle association data;
  • the accessory analyzes the vehicle features to generate usage status information corresponding to the accessories of the vehicle.
  • the vehicle association data includes at least one of the following: sensor data, weather data, usage behavior data, and historical maintenance data.
  • the maintenance configuration information includes: a feature tag of the accessory and design life information.
  • determining, according to the usage status information of the vehicle and the maintenance configuration information, a maintenance suggestion for each accessory in the vehicle including: according to the usage status information of the vehicle and the feature of the accessory of the vehicle a label determining a weighting value of the accessory of the vehicle; and determining a maintenance recommendation for the accessory of the vehicle based on the weighting value and design life information.
  • determining a weighting value of the accessory of the vehicle according to the usage state information of the vehicle and the feature tag of the accessory of the vehicle 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 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.
  • determining, according to the usage status information of the vehicle and the maintenance configuration information, a maintenance suggestion of the accessory of the vehicle including: when the usage status information of the vehicle includes accessory failure information, generating the Maintenance configuration information for accessories to be overhauled.
  • 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.
  • performing feature extraction on the vehicle data of each vehicle includes: collecting vehicle data corresponding to the mass vehicle; and extracting feature values of the required vehicle features from each model of vehicle data.
  • the analyzing, according to the extracted vehicle characteristics, optimizing the maintenance configuration information comprising: matching the extracted vehicle features and maintenance configuration information, and determining a test recommendation result;
  • the proposed result is compared with the actual maintenance information, and the maintenance configuration information is optimized according to the comparison result.
  • the method further includes: feeding back maintenance suggestions of the vehicle to remind the vehicle maintenance.
  • 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.
  • the maintenance configuration information includes 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.
  • 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.
  • the step of generating the maintenance configuration information includes: generating maintenance configuration information of each accessory and the usage state feature according to the usage state characteristic of the vehicle and the maintenance information of each accessory in the actual maintenance information.
  • FIG. 7 is a schematic structural diagram of hardware of a terminal device according to an embodiment of the present disclosure.
  • 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 a communication connection between components.
  • Memory 73 may include high speed RAM memory, and may also include non-volatile memory NVM, such as at least one disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiments.
  • 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 programmable logic.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • DSP digital signal processor
  • DSPD digital signal processing device
  • programmable logic A device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component is implemented that is coupled to the input device 20 and the output device 22 by a wired or wireless connection.
  • PLD field programmable gate array
  • controller microcontroller, microprocessor or other electronic component is implemented that is coupled to the input device 20 and the output device 22 by a wired or wireless connection.
  • the input device 20 may include multiple input devices, for example, at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a transceiver, and a collection device of a vehicle.
  • the device-oriented device interface may be used for data transmission between the device and the device.
  • the line interface may also be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between the device and the device;
  • the user-oriented user interface may be, for example, a user-oriented control button, for a voice input device that receives voice input and a touch sensing device that receives a user's touch input (eg, a touch screen with a touch sensing function, a touch pad, etc.); optionally, the programmable interface of the above software may be, for example, edited or modified by a user.
  • the entry of the program such as the input pin interface or the input interface of the chip; optionally, the transceiver may be a radio frequency transceiver chip with a 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 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.
  • the built-in sensor detects its own data to generate sensor data. Depending on the vehicle, the built-in sensor can obtain different sensor data.
  • the terminal device in the embodiment of the present application is a general terminal device.
  • the terminal device can be, for example, a mobile terminal, an in-vehicle terminal or the like.
  • the mobile terminal or the vehicle-mounted terminal may specifically be a control device for a vehicle.
  • the terminal device is a control device for a vehicle
  • the present application provides another embodiment for introduction. Embodiments are not described in detail herein.
  • the processor of the terminal device includes means for performing the above-mentioned optimization generation module, state determination module, maintenance suggestion generation module, and feedback module.
  • the specific functions and technical effects may be referred to the above embodiments, and Let me repeat.
  • the terminal device provided in this embodiment may be used to perform the step 302 to the step 310 in the foregoing method embodiment.
  • the implementation principle and the technical effect are similar to those in the foregoing embodiment, and details are not described herein again.
  • FIG. 8 is a schematic structural diagram of hardware of a terminal device according to another embodiment of the present disclosure.
  • Figure 8 is a specific embodiment of the implementation of Figure 7.
  • 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 data 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 storage.
  • 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.
  • processing component 20 can include one or more modules to facilitate interaction between component 20 and other components.
  • 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 various components of the terminal device.
  • Power component 24 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal devices.
  • the multimedia component 25 includes a display screen between the terminal device and the user that provides an output interface.
  • the display screen can include a liquid crystal display (LCD) and a touch panel (TP). If the display includes a touch panel, the display 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 touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding 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.
  • 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 may be further stored in memory 22 or transmitted via communication component 23.
  • audio component 26 also includes a speaker for outputting an audio signal.
  • the input/output interface 27 provides an interface between the processing component 20 and the peripheral interface module, which 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.
  • Sensor assembly 28 includes one or more sensors for providing status assessment of various aspects to the terminal device.
  • sensor component 28 can detect the open/closed 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.
  • Sensor assembly 28 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • the sensor assembly 28 can also include an accelerometer sensor, 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.
  • 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 and establish communication with the server through the Internet.
  • the communication component 23, the audio component 26 and the input/output interface 27 involved in the embodiment of Fig. 8 can be implemented as an input device in the embodiment of Fig. 7.
  • the present application further provides a control device for a vehicle, which is a specific implementation manner of the terminal device for the vehicle.
  • control device of the vehicle may be a vehicle equipment, an additional control device after the vehicle leaves the factory, and the like.
  • control device for the vehicle may include: an onboard input device, an onboard processor; and optionally, an onboard output device and other additional devices.
  • the airborne in the "airborne input device”, “airborne output device”, and “airborne processor” may be an “vehicle input device” carried on a vehicle
  • “Vehicle output device” and “vehicle processor” may also be “onboard input device”, “onboard output device”, “onboard processor” carried on the aircraft, or may be carried on other types of vehicles.
  • the above apparatus does not limit the meaning of "airborne” in the embodiment of the present application.
  • the onboard input device may be an in-vehicle input device
  • the onboard processor may be an onboard processor
  • 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, for example, may include a user-oriented in-vehicle user interface, a device-oriented in-vehicle device interface, an in-vehicle programmable interface of software, a transceiver At least one of the collection devices of the vehicle.
  • 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.
  • the user-oriented vehicle user interface may be, for example, a steering wheel control button for a vehicle, for a large vehicle or a small vehicle.
  • the collecting device of the vehicle includes a plurality of different devices, such as a sensor, a GPS, etc., wherein the sensor comprises 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.
  • the built-in sensor detects its own data to generate sensor data.
  • the built-in sensor can acquire different sensor data.
  • the on-board programmable interface of the above software can be used, for example. It is an entry in the vehicle control system that can be edited or modified by the user, such as an input pin interface or an input interface of a large or small chip involved in the vehicle; optionally, the above transceiver may be a radio frequency having a communication function in the vehicle. Transceiver chip, baseband processing chip, and transceiver antenna.
  • the onboard input device is configured to receive maintenance configuration information of the vehicle.
  • the in-vehicle input device may be a device transmission interface that communicates with various service sources inside the vehicle, and may also have a communication function. Transceiver.
  • the onboard input device is also operative to receive various commands triggered by the user.
  • 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 (such as a touch screen with a touch sensing function, a touchpad, etc.) for receiving a user's touch input.
  • 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 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.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • FPGA field programmable gate array
  • CPU central processing unit
  • controller microcontroller, microprocessor or other electronic component implementation and used to perform the above methods.
  • the onboard processor is coupled to the onboard input device and the onboard output device via 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 can be various display devices used in the industry, or can be a head up display with 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 present application further provides a processor readable storage medium.
  • the storage medium stores program instructions for causing a processor to execute the vehicle data processing method described in FIG. 1 to FIG. 4 in the foregoing embodiment.
  • the processor readable storage medium is similar to the nonvolatile readable storage medium described above and therefore will not be described again.
  • the embodiment of the present application further provides an in-vehicle Internet operating system.
  • the in-vehicle Internet operating system includes:
  • the input device control unit 902 controls the in-vehicle input device to receive vehicle data of the vehicle, the vehicle data including at least one of: driving track data, vehicle associated data.
  • the maintenance determining unit 904 determines usage state information of the vehicle according to the vehicle data, and determines a maintenance suggestion of the accessory of the vehicle according to the use state information of the vehicle and the maintenance configuration information.
  • the output device control unit 906 controls the vehicle-mounted output device to output the maintenance suggestion determined by the maintenance determining unit.
  • the maintenance determining unit matches the driving trajectory data and the map data, determines road information that the vehicle travels, and analyzes according to the road information and the vehicle associated data to determine the use of the vehicle. status information.
  • the maintenance determining unit extracts vehicle features from the road information and the vehicle associated data; classifies and analyzes the vehicle features according to the accessories of the vehicle, and generates the accessories of the vehicle. Corresponding usage status information.
  • the vehicle association data includes at least one of the following: sensor data, weather data, usage behavior data, and historical maintenance data.
  • the maintenance configuration information includes: a feature tag of the accessory and design life information.
  • the maintenance determining unit determines 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; and, according to the weighting value and the design life information Determining maintenance recommendations for the accessories of the vehicle.
  • the maintenance determining unit determines a feature tag of the accessory of the vehicle; and uses the usage state 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.
  • the maintenance determining unit generates maintenance configuration information for repairing the accessory when the usage status information of the vehicle includes accessory failure information.
  • the output device control unit controls the vehicle-mounted output device to output the maintenance suggestion of the vehicle fed back by the maintenance determining unit to remind the maintenance of the vehicle.
  • the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.
  • embodiments of the embodiments of the present application can be provided as a method, apparatus, or computer program product. Therefore, the embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, embodiments of the present application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • the computer device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, Program module or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by the terminal device.
  • computer readable media does not include non-persistent computer readable media, such as modulated data signals and carrier waves.
  • Embodiments of the present application are described with reference to flowcharts and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG.
  • These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing terminal device to produce a machine such that instructions are executed by a processor of a computer or other programmable data processing terminal device
  • Means are provided for implementing the functions specified in one or more of the flow or in one or more blocks of the flow chart.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the instruction device implements the functions specified in one or more blocks of the flowchart or in a flow or block of the flowchart.

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  • Traffic Control Systems (AREA)

Abstract

L'invention porte sur un procédé, un appareil et un dispositif terminal de traitement de données de véhicule, utilisés pour fournir des suggestions d'entretien de véhicule précises. Le procédé consiste : sur la base de données de véhicule, à déterminer des informations d'état d'utilisation du véhicule (102), les données de véhicule comprenant des données de trajectoire de conduite et/ou des données associées au véhicule; et, sur la base des informations d'état d'utilisation du véhicule et d'informations de configuration d'entretien, à déterminer des suggestions d'entretien pour les parties du véhicule (104). Des suggestions d'entretien ciblées pour le véhicule sont ainsi générées, améliorant la précision des suggestions.
PCT/CN2017/081379 2016-05-04 2017-04-21 Procédé, appareil et dispositif terminal de traitement de données de véhicule WO2017190595A1 (fr)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111445044A (zh) * 2020-04-02 2020-07-24 北京航空航天大学杭州创新研究院 工业机器人智能维护处理方法和装置
WO2020183368A1 (fr) * 2019-03-11 2020-09-17 Dometic Sweden Ab Système d'analyse prédictive pour véhicule récréatif
US10832261B1 (en) 2016-10-28 2020-11-10 State Farm Mutual Automobile Insurance Company Driver profiles based upon driving behavior with passengers
CN112906742A (zh) * 2021-01-19 2021-06-04 重庆邮电大学 基于5g+v2x移动终端及高精度地图的二轮车识别系统与方法
USD947699S1 (en) 2019-03-11 2022-04-05 Dometic Sweden Ab Controller

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI645387B (zh) * 2017-12-08 2018-12-21 中華電信股份有限公司 交通旅行時間預測之系統與方法
CN107977896A (zh) * 2017-12-21 2018-05-01 江西爱驰亿维实业有限公司 车辆保险费的核算方法及装置
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CN112036581B (zh) * 2019-05-15 2024-03-26 上海杰之能软件科技有限公司 交通工具空调系统的性能检测方法及装置、存储介质、终端
CN110667524B (zh) * 2019-09-30 2021-09-03 浙江鸿泉电子科技有限公司 一种车辆维护方法及云端服务器
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CN113011852A (zh) * 2021-03-25 2021-06-22 深圳市元征科技股份有限公司 车辆保养提醒方法、装置、车载设备及存储介质

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102120455A (zh) * 2010-01-08 2011-07-13 福特全球技术公司 车辆保养提示系统和车辆保养提示方法
CN102542514A (zh) * 2010-12-31 2012-07-04 上海博泰悦臻电子设备制造有限公司 车辆维护处理方法及装置
CN103253189A (zh) * 2013-04-19 2013-08-21 麦特汽车服务股份有限公司 一种基于云服务的车辆保养提醒方法及其车载终端装置
US20130332023A1 (en) * 2012-06-12 2013-12-12 Service Solutions U.S. Llc Method and Apparatus for Tracking, Scheduling, and Reminding about Maintenance Status
CN103703479A (zh) * 2013-02-28 2014-04-02 观致汽车有限公司 车辆养护提醒方法、装置
CN105270293A (zh) * 2015-06-24 2016-01-27 广州爱亿信息科技有限公司 一种基于云服务的车辆保养提醒方法及其车载终端装置
CN105313806A (zh) * 2014-08-05 2016-02-10 麦恩电子有限公司 车辆保养提醒
CN105404273A (zh) * 2015-11-25 2016-03-16 湖北航天技术研究院特种车辆技术中心 一种用于车辆维修的方法及手持终端

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1912942A (zh) * 2005-08-09 2007-02-14 行毅科技股份有限公司 车辆服务系统及其定期保养里程的回传方法
US20100023201A1 (en) * 2008-07-24 2010-01-28 David Scott Kinney Method and apparatus for obtaining vehicle data
CN201587391U (zh) * 2009-12-17 2010-09-22 南京航空航天大学 一种自动导航车保养与维修提示指导装置
CN101776523B (zh) * 2009-12-17 2012-01-25 南京航空航天大学 一种自动导航车保养与维修提示指导装置

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102120455A (zh) * 2010-01-08 2011-07-13 福特全球技术公司 车辆保养提示系统和车辆保养提示方法
CN102542514A (zh) * 2010-12-31 2012-07-04 上海博泰悦臻电子设备制造有限公司 车辆维护处理方法及装置
US20130332023A1 (en) * 2012-06-12 2013-12-12 Service Solutions U.S. Llc Method and Apparatus for Tracking, Scheduling, and Reminding about Maintenance Status
CN103703479A (zh) * 2013-02-28 2014-04-02 观致汽车有限公司 车辆养护提醒方法、装置
CN103253189A (zh) * 2013-04-19 2013-08-21 麦特汽车服务股份有限公司 一种基于云服务的车辆保养提醒方法及其车载终端装置
CN105313806A (zh) * 2014-08-05 2016-02-10 麦恩电子有限公司 车辆保养提醒
CN105270293A (zh) * 2015-06-24 2016-01-27 广州爱亿信息科技有限公司 一种基于云服务的车辆保养提醒方法及其车载终端装置
CN105404273A (zh) * 2015-11-25 2016-03-16 湖北航天技术研究院特种车辆技术中心 一种用于车辆维修的方法及手持终端

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10832261B1 (en) 2016-10-28 2020-11-10 State Farm Mutual Automobile Insurance Company Driver profiles based upon driving behavior with passengers
US11037177B1 (en) 2016-10-28 2021-06-15 State Farm Mutual Automobile Insurance Company Vehicle component identification using driver profiles
US11875366B2 (en) 2016-10-28 2024-01-16 State Farm Mutual Automobile Insurance Company Vehicle identification using driver profiles
WO2020183368A1 (fr) * 2019-03-11 2020-09-17 Dometic Sweden Ab Système d'analyse prédictive pour véhicule récréatif
USD947699S1 (en) 2019-03-11 2022-04-05 Dometic Sweden Ab Controller
US20220148352A1 (en) * 2019-03-11 2022-05-12 Dometic Sweden Ab Predictive Analysis System for Recreational Vehicle
USD1013546S1 (en) 2019-03-11 2024-02-06 Dometic Sweden Ab Controller
CN111445044A (zh) * 2020-04-02 2020-07-24 北京航空航天大学杭州创新研究院 工业机器人智能维护处理方法和装置
CN112906742A (zh) * 2021-01-19 2021-06-04 重庆邮电大学 基于5g+v2x移动终端及高精度地图的二轮车识别系统与方法
CN112906742B (zh) * 2021-01-19 2023-03-28 重庆邮电大学 基于5g+v2x移动终端及高精度地图的二轮车识别系统与方法

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