CN115495630A

CN115495630A - Vehicle-mounted data processing method, device, equipment and medium

Info

Publication number: CN115495630A
Application number: CN202211176969.5A
Authority: CN
Inventors: 董一江; 姚志伟; 丛伟伦; 王宽; 骆科华
Original assignee: Chongqing Changan Automobile Co Ltd
Current assignee: Chongqing Changan Automobile Co Ltd
Priority date: 2022-09-26
Filing date: 2022-09-26
Publication date: 2022-12-20

Abstract

The invention provides a method, a device, equipment and a medium for processing vehicle-mounted data, which comprises the steps of acquiring a plurality of vehicle-mounted data and vehicle condition information of a vehicle; inquiring a preset screening information table based on the vehicle condition information to obtain a data screening module corresponding to the vehicle condition information, wherein the screening information table comprises a plurality of vehicle condition information and a plurality of corresponding data screening modules; classifying the plurality of vehicle-mounted data to generate vehicle-mounted data sets of a plurality of categories; and respectively screening the vehicle-mounted data sets of multiple categories based on a plurality of preset sub-screening modules in the data screening module to obtain a plurality of effective data sets. The invention can improve the processing efficiency of the vehicle-mounted data, improve the timeliness of data processing and reduce the cost of data processing.

Description

Vehicle-mounted data processing method, device, equipment and medium

Technical Field

The application relates to the technical field of intelligent driving, in particular to a method, a device, equipment and a medium for processing vehicle-mounted data.

Background

With the development of intelligent driving technology, various vehicle-mounted sensors are gradually applied to vehicles and record various vehicle-mounted data. After various vehicle-mounted data are collected and stored by a central control machine of the vehicle, data support can be provided for an intelligent driving system.

At present, the vehicle-mounted data generated by various vehicle-mounted sensors is huge, so that the problems of low processing efficiency, poor processing timeliness and high processing cost of a vehicle data processing system occur.

Disclosure of Invention

In view of the above drawbacks of the prior art, the present invention provides a method, an apparatus, a device and a medium for processing vehicle-mounted data, so as to solve the technical problems of reduced processing efficiency, poor processing timeliness and increased processing cost of the vehicle-mounted data.

The invention provides a processing method of vehicle-mounted data, which comprises the following steps:

acquiring a plurality of vehicle-mounted data and vehicle condition information of a vehicle;

inquiring a preset screening information table based on the vehicle condition information to obtain a data screening module corresponding to the vehicle condition information, wherein the screening information table comprises a plurality of vehicle condition information and a plurality of corresponding data screening modules;

classifying the plurality of vehicle-mounted data to generate a plurality of categories of vehicle-mounted data sets;

respectively screening the vehicle-mounted data sets of multiple categories based on a plurality of preset sub-screening modules in the data screening module to generate a plurality of effective data sets;

a plurality of the valid data sets are aggregated to generate an overall data set.

In an embodiment of the present invention, the step of obtaining the vehicle condition information and the vehicle-mounted data of the vehicle includes:

acquiring vehicle-mounted data of a plurality of vehicle-mounted sensors of a vehicle;

and acquiring vehicle condition information based on the vehicle-mounted data.

In an embodiment of the present invention, the step of classifying the vehicle-mounted data to generate vehicle-mounted data sets of a plurality of categories includes:

classifying the plurality of vehicle-mounted data to generate a plurality of class labels of the vehicle-mounted data;

and respectively summarizing the vehicle-mounted data corresponding to each category label to generate a plurality of categories of vehicle-mounted data sets.

In an embodiment of the present invention, the step of performing a screening process on the vehicle-mounted data sets of the multiple categories to generate multiple valid data sets respectively includes:

acquiring environmental information of a vehicle;

calculating the matching degree of the vehicle-mounted data in each type of vehicle-mounted data set and the environment information;

and screening the vehicle-mounted data in each type of vehicle-mounted data set based on the matching degree to generate a plurality of effective data sets.

In an embodiment of the present invention, the step of obtaining the environmental information of the vehicle includes:

the environmental information is acquired based on-vehicle data of an on-vehicle sensor of the vehicle.

In an embodiment of the invention, each type of the on-board data sets respectively matches with a corresponding sub-screening module.

In an embodiment of the present invention, the step of performing a screening process on the vehicle-mounted data in each type of the vehicle-mounted data sets based on the matching degree to generate a plurality of valid data sets includes:

acquiring vehicle-mounted data with the matching degree larger than a preset matching degree threshold value in each type of vehicle-mounted data set;

and summarizing the vehicle-mounted data with the matching degree larger than the threshold value of the matching degree in each type of vehicle-mounted data set to generate a plurality of effective data sets.

The invention also provides a processing device of vehicle-mounted data, comprising:

the acquisition module is used for acquiring a plurality of vehicle-mounted data and vehicle condition information of the vehicle;

the matching module is used for inquiring a preset screening information table based on the vehicle condition information and acquiring a data screening module corresponding to the vehicle condition information, wherein the screening information table comprises a plurality of vehicle condition information and a plurality of corresponding data screening modules;

the generation module is used for classifying the vehicle-mounted data to generate vehicle-mounted data sets of multiple categories;

the processing module is used for respectively screening the vehicle-mounted data sets of multiple categories based on a plurality of preset sub-screening modules in the data screening module so as to generate a plurality of effective data sets;

a summarization module that summarizes a plurality of the valid data sets to generate a total data set.

The present invention also provides an electronic device, including:

one or more processors;

and a storage device for storing one or more programs, which when executed by the one or more processors, cause the electronic device to implement the processing method of the vehicle-mounted data as described above.

The present invention also provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor of a computer, causes the computer to execute the above-described method for processing vehicle-mounted data.

The invention has the beneficial effects that: aiming at the processing of the vehicle-mounted data, the invention can improve the processing efficiency of the vehicle-mounted data, improve the timeliness of the data processing and reduce the cost of the data processing.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

fig. 1 is a schematic diagram of an implementation environment of a processing method for vehicle-mounted data according to an exemplary embodiment of the present application;

fig. 2 is a flowchart illustrating a method of processing vehicle-mounted data according to an exemplary embodiment of the present application;

FIG. 3 is a flow chart of step S210 in the embodiment shown in FIG. 2 in an exemplary embodiment;

FIG. 4 is a flow chart of step S230 in the embodiment shown in FIG. 2 in an exemplary embodiment;

FIG. 5 is a flow chart of step S240 in the embodiment shown in FIG. 2 in an exemplary embodiment;

FIG. 6 is a flow chart of step S520 in the embodiment shown in FIG. 5 in an exemplary embodiment;

FIG. 7 is a flowchart of step S610 in the embodiment shown in FIG. 6 in an exemplary embodiment;

fig. 8 is a block diagram showing a processing apparatus of vehicle-mounted data according to an exemplary embodiment of the present application;

FIG. 9 illustrates a schematic structural diagram of a computer system suitable for use to implement the electronic device of the embodiments of the subject application.

Detailed Description

Other advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure herein, wherein the embodiments of the present invention are described in detail with reference to the accompanying drawings and preferred embodiments. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.

It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.

In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.

First, with the development of intelligent driving technology, various vehicles are beginning to be equipped with intelligent driving systems. The intelligent driving system is based on various vehicle-mounted sensors, and data support is provided for a controller of the intelligent driving system through data of the vehicle-mounted sensors. For example, sensors such as a vehicle-mounted camera, a millimeter wave radar and a laser radar in the vehicle can collect and process the surrounding environment information of the vehicle, and collected data can be sent to a vehicle controller to assist the vehicle in realizing intelligent driving. It should be noted that, after various vehicle-mounted sensors collect data, when a large amount of vehicle-mounted data is processed, the problem of low processing efficiency occurs.

Based on the above background, the present application provides a method for processing vehicle-mounted data, and fig. 1 is a schematic diagram of an implementation environment of the method for processing vehicle-mounted data according to an exemplary embodiment of the present application. As shown in fig. 1, the server 110 may communicate with the vehicle-mounted terminal 120 through a network, the vehicle-mounted terminal 120 may include various vehicle-mounted cameras, millimeter wave radars, laser radars, and other sensor devices, and the server 110 may obtain vehicle condition information and a plurality of vehicle-mounted data of the vehicle from the vehicle-mounted terminal 120. When a plurality of pieces of vehicle-mounted data are processed, the vehicle-mounted data can be simplified, and the reception of useless data can be blocked, so that the data processing efficiency can be improved. For example, in the case of a vehicle that is parked at a slow speed, the need for identifying an environmental obstacle is high, the need for other data is not high, and unnecessary data can be screened out, and reception of useless data can be blocked, so that valid data can be acquired. Therefore, the processing amount of the vehicle-mounted data can be reduced, and the processing efficiency of the vehicle-mounted data is increased. Therefore, under different vehicle conditions, the server 110 may perform different screening processes on the vehicle-mounted data, and the server 110 may pre-establish corresponding data screening modules under different vehicle condition information, so as to facilitate the screening process of subsequent data.

During actual driving, the server 110 may query a preset screening information table based on the currently acquired vehicle condition information, and may acquire a data screening module corresponding to the current vehicle condition information through the query. The data screening module can be preset with sub-screening modules aiming at different types of vehicle-mounted data. Therefore, the vehicle-mounted data can be classified to generate vehicle-mounted data sets of multiple categories corresponding to different sub-screening modules. So as to screen different types of vehicle-mounted data in a targeted manner. For example, the in-vehicle data regarding the environment view may be classified into one category, and the in-vehicle data regarding the obstacle distance may be classified into one category. And based on the plurality of sub-screening modules, screening processing can be respectively carried out on the vehicle-mounted data sets of a plurality of types, and useless data in each type of vehicle-mounted data set can be blocked, so that a plurality of effective data sets can be generated. Aggregating a plurality of the valid datasets to generate an overall dataset. The vehicle-mounted data volume in the total data set is simplified, so that the subsequent data processing volume can be greatly reduced, and the data processing efficiency is improved. The server 110 may be implemented by an independent server or a server cluster composed of a plurality of servers. The present invention is described in detail below with reference to specific examples.

Referring to fig. 2, fig. 2 is a schematic flow chart of a method for processing vehicle-mounted data according to an embodiment of the present invention, including the following steps,

and step S210, acquiring a plurality of vehicle-mounted data and vehicle condition information of the vehicle.

Step S220, based on the vehicle condition information, querying a preset screening information table to obtain a data screening module corresponding to the vehicle condition information, where the screening information table includes a plurality of vehicle condition information and a plurality of corresponding data screening modules.

And step S230, classifying the plurality of vehicle-mounted data to generate a plurality of categories of vehicle-mounted data sets.

Step S240, based on a plurality of sub-screening modules preset in the data screening module, respectively performing screening processing on the vehicle-mounted data sets of a plurality of categories to obtain a plurality of valid data sets.

And step S250, summarizing the effective data sets to generate a total data set.

In step S210, in order to perform the filtering process on the vehicle-mounted data of the vehicle for different vehicle conditions, the vehicle condition information and the vehicle-mounted data of the vehicle may be acquired first. For example, the driving vehicle condition may be high-speed multi-lane driving with clear lane lines, low-speed country road driving, automatic parking, automatic driving, or other vehicle conditions. The vehicle data may be environment view data, driving speed parameters, distance data of the vehicle from the front vehicle or other data.

It should be noted that the vehicle condition information may be obtained based on vehicle-mounted data, specifically, vehicle speed data is obtained through a vehicle-mounted sensor, such as a vehicle speed sensor, and distance data between a preceding vehicle and a current environment three-dimensional modeling map are obtained through a vehicle-mounted sensor, such as a laser radar. Different vehicle data information may correspond to different vehicle conditions. The server 110 may preset a plurality of vehicle-mounted data corresponding to various vehicle conditions, and establish a corresponding relationship table between the vehicle conditions and the vehicle-mounted data. And inquiring the vehicle conditions corresponding to the vehicle data in the corresponding relation table through the acquired vehicle data, so as to acquire the current vehicle condition information.

For step S220, in order to improve the processing efficiency of a large amount of vehicle-mounted data, when a plurality of pieces of vehicle-mounted data are processed, the vehicle-mounted data may be simplified in advance, and the reception of useless data may be blocked to improve the data processing efficiency. For example, in a case of a vehicle that is parked at a slow speed, the need for identifying an environmental obstacle is high, the need for data such as a static map is not high, and the reception process of useless data can be stopped and only valid data can be received. Therefore, the processing amount of the vehicle-mounted data can be reduced, and the processing efficiency of the vehicle-mounted data is increased. Further, under different vehicle conditions, the server 110 may perform different screening processes on the vehicle-mounted data, and the corresponding data screening modules under different vehicle condition information are pre-established, so as to facilitate the screening processes of subsequent data.

It should be noted that the server may pre-establish a screening information table of each type of vehicle condition and the corresponding data screening module. Through the screening information table, a data screening module corresponding to a certain vehicle condition can be quickly inquired. When the vehicle condition does not exist in the database of the server, the new vehicle condition information can be stored, and a data screening module corresponding to the vehicle condition information is created. The new vehicle condition information and the corresponding data screening module can be updated into the screening information table.

In step S230, in the plurality of vehicle-mounted data under one vehicle condition, because the attributes of the plurality of vehicle-mounted data are different, different screening rules can be adopted when screening the vehicle-mounted data with multiple attributes, so as to improve the accuracy of screening. Therefore, a plurality of sub-screening modules can be preset in the data screening module of each vehicle condition to screen the vehicle-mounted data with different attributes. Specifically, a plurality of pieces of vehicle-mounted data may be classified, and vehicle-mounted data of the same attribute may be set as one vehicle-mounted data set. Each vehicle-mounted data set corresponds to one sub-screening module, and the classification and summarization mode of the vehicle-mounted data can be used for screening each type of vehicle-mounted data set in a targeted manner, so that the screening precision is improved.

As an example, in a plurality of vehicle-mounted sensors, for example, a laser radar may be used for surrounding environment detection and modeling, and a camera may provide a 2D real-time image, so that the environment information may be accurately displayed by matching the 2D image with the environment modeling. The vehicle-mounted data in the laser radar and the vehicle-mounted data of the camera can be set as a type of vehicle-mounted data set. For another example, a speed sensor may detect a speed of the vehicle, and an acceleration sensor may detect real-time acceleration information of the vehicle. Such speed data may be provided as a type of onboard data set. For another example, the temperature and humidity sensor and the light sensor can detect the driving environment, and such data can be set as a type of vehicle data set. Specific vehicle-mounted data in each type of vehicle-mounted data set can be set according to actual processing requirements, and matching with the screening rules of each sub-screening module is guaranteed.

In step S240, specifically, for example, the temperature and humidity sensor and the light sensor are set as a type of vehicle-mounted data set, and when vehicle-mounted data in the type of vehicle-mounted data set is filtered, the filtering may be performed based on the corresponding sub-filtering module. The sub-screening module may preset a screening rule for such vehicle-mounted data sets, for example, screening based on a matching degree of each vehicle-mounted data and a vehicle condition, and for vehicle-mounted data with a matching degree lower than a preset threshold, blocking the vehicle-mounted data from being received.

Furthermore, in the screening rule based on the matching degree, it is necessary to set an accurate condition in the sub-screening module in advance for the corresponding vehicle-mounted data set to perform matching. For example, the data screening module corresponding to the vehicle conditions of the urban road is provided with various sub-screening modules, wherein in the sub-screening module of the vehicle-mounted data set related to the temperature and humidity sensor and the light sensor, the matching degree of the humidity data and the vehicle conditions in rainy days is 60%, the matching degree of the humidity data and the vehicle conditions in sunny days is 20%, and the matching degree of the humidity data and the vehicle conditions in the urban road is 40%. And when the current environment is rainy, the vehicle condition is the urban road vehicle condition in rainy days. When calculating the degree of matching of this humidity data, the degree of matching may be set to P, which may be expressed as P = 60%. And when the current environment is a sunny environment, the vehicle condition is the urban road vehicle condition in sunny days. When calculating the degree of matching of this humidity data, the degree of matching may be set to P, which may be expressed as P =60% a +40% b, where a represents the weight of the degree of matching of the humidity data with the vehicle condition on a clear day to the total degree of matching, and b represents the weight of the degree of matching of the humidity data with the vehicle condition on an urban road to the total degree of matching. After the matching degree of each vehicle-mounted data in the vehicle-mounted data sets such as the temperature and humidity sensor and the light sensor is obtained through calculation, the matching degree of each vehicle-mounted data in the vehicle-mounted data sets can be sorted, and therefore the vehicle-mounted data in the preset range after sorting is selected, and an effective data set is formed. After the vehicle-mounted data sets of multiple categories are respectively screened, multiple effective data sets can be obtained.

For step S250, after the valid data set of the vehicle-mounted data set of each category is acquired, a plurality of valid data sets can be summarized, so that the total data set can be conveniently transmitted to the central control machine in the subsequent process.

It should be noted that the total data set includes a plurality of effective data sets after screening, so that the vehicle-mounted data volume is effectively reduced, and the data processing efficiency is improved.

In an exemplary embodiment, as shown in fig. 3, the process of acquiring a plurality of onboard data and vehicle condition information of the vehicle includes,

and step S310, vehicle-mounted data of a plurality of vehicle-mounted sensors of the vehicle is acquired.

And step S320, acquiring vehicle condition information based on the vehicle-mounted data.

When a large amount of vehicle-mounted data is processed, if all the vehicle-mounted data is received, a large amount of data is likely to block a data processing channel, and thus data processing efficiency is low. In order to simplify the data structure, the vehicle-mounted data can be screened according to different driving conditions, the receiving of invalid data is blocked, a processing channel is released, and the data processing speed is improved. During actual driving, the data required for different vehicle conditions are not the same. For example, in the case of a vehicle that is parked at a slow speed, the need for identifying an environmental obstacle is high, the need for other data is not high, and unnecessary data can be screened out to block reception of useless data, so that valid data can be acquired.

It should be noted that the vehicle condition information may be obtained based on vehicle data, and as an example, the vehicle sensor may be set as a humidity sensor, a laser radar and a camera, the laser radar may obtain a three-dimensional modeling diagram of the current environment, the camera may provide a real-time image of the environment, and the environment information may be accurately displayed by matching the three-dimensional modeling diagram of the environment with the image. The humidity of the current environment can be acquired through the humidity sensor. Based on the environmental information and the environmental humidity, the vehicle condition information can be acquired, for example, when the environmental information shows that the environment is an urban road environment and the environmental humidity is 70%, the vehicle condition at this time can be judged to be the rainy vehicle condition of the urban road.

In an exemplary embodiment, as shown in fig. 4, the classifying a plurality of the on-board data to generate a plurality of categories of on-board data sets includes,

and step S410, classifying the plurality of vehicle-mounted data to generate a plurality of class labels of the vehicle-mounted data.

And step S420, respectively summarizing the vehicle-mounted data corresponding to each category label to generate a plurality of categories of vehicle-mounted data sets.

It should be noted that a plurality of pieces of vehicle-mounted data may be classified, and vehicle-mounted data having the same attribute may be set as one vehicle-mounted data set. Each vehicle-mounted data set corresponds to one sub-screening module, and the classification and summarization mode of the vehicle-mounted data can screen each type of vehicle-mounted data sets in a targeted manner, so that the screening precision is improved.

Specifically, when the vehicle-mounted data is classified, it may be determined that each of the vehicle-mounted data belongs to a certain category label based on a keyword of the vehicle-mounted data. In the database of the server 110, a plurality of category labels may be preset, and a plurality of keywords may be set for each category label. When a certain vehicle-mounted data is classified, a keyword contained in the vehicle-mounted data can be extracted, and a corresponding class label in a database is queried based on the keyword. After the category label of each piece of vehicle-mounted data is obtained through multiple times of inquiry, the vehicle-mounted data under each different category label can be summarized to generate a vehicle-mounted data set under each category label.

In an exemplary embodiment, as shown in fig. 5, the process of filtering the vehicle-mounted data sets of multiple categories to obtain multiple valid data sets includes,

and step S510, calculating the matching degree of each vehicle-mounted data and the vehicle condition information in each type of vehicle-mounted data set.

And S520, screening the vehicle-mounted data in each type of vehicle-mounted data set based on the matching degree to obtain a plurality of effective data sets.

When screening the in-vehicle data, the screening may be performed based on a matching degree between the in-vehicle data and the vehicle condition information. In the screening rule based on the matching degree, the sub-screening module needs to set an accurate condition for the corresponding vehicle-mounted data set in advance for matching. For example, after the current vehicle condition of a certain vehicle is an urban road vehicle condition, and the urban road vehicle condition is identified based on the vehicle-mounted data, the data screening module corresponding to the urban road vehicle condition can be selected for screening, and a plurality of sub-screening modules are preset in the data screening module of the urban road vehicle condition to screen various vehicle-mounted data sets respectively. Screening rules of various vehicle-mounted data sets can be preset in each sub-screening module.

For example, in the sub-screening module of the vehicle-mounted data set related to the temperature and humidity sensor and the light sensor, the matching degree of the humidity data and the vehicle condition in the rainy day is 60%, the matching degree of the humidity data and the vehicle condition in the cloudy day is 40%, the matching degree of the humidity data and the vehicle condition in the sunny day is 20%, and the matching degree of the humidity data and the vehicle condition in the city is 40%. When the current environment is further identified as a rainy environment, the vehicle condition is the urban road vehicle condition in rainy days. When calculating the degree of matching of the humidity data, the degree of matching may be set to P, which may be expressed as P =60 a +40 b, where a represents the weight of the degree of matching of the humidity data with the vehicle condition on the urban road in rainy days to the total degree of matching, and b represents the weight of the degree of matching of the humidity data with the vehicle condition on the urban road in rainy days to the total degree of matching. And when the current environment is a sunny environment, the vehicle condition is the urban road vehicle condition in sunny days. When calculating the degree of matching of this humidity data, the degree of matching may be set to P, which may be expressed as P = 60%. After the matching degree of each piece of vehicle-mounted data in a vehicle-mounted data set of a temperature and humidity sensor and a light sensor is obtained through calculation, the matching degree of each piece of vehicle-mounted data in the vehicle-mounted data set can be sorted, and therefore vehicle-mounted data which are sorted within a preset range are selected to form an effective data set. After the vehicle-mounted data sets of the multiple categories are respectively screened, a plurality of effective data sets can be obtained.

In an exemplary embodiment, as shown in fig. 6, the process of performing a filtering process on the vehicle-mounted data in each type of the vehicle-mounted data set based on the matching degree to obtain a plurality of valid data sets includes,

and step S610, acquiring the vehicle-mounted data with the matching degree larger than a preset matching degree threshold value in each type of vehicle-mounted data set.

And S620, summarizing the vehicle-mounted data with the matching degree larger than the threshold value in each type of vehicle-mounted data set, and generating a plurality of effective data sets.

It should be noted that after the matching degree between each vehicle-mounted data and the vehicle condition information in each type of vehicle-mounted data set is calculated, the vehicle-mounted data with the matching degree greater than the preset threshold value can be selected as valid data. For example, the threshold of the matching degree may be set to 80%, and when the matching degree of certain vehicle-mounted data and the vehicle condition information is 88%, the certain vehicle-mounted data may be used as valid data. When the matching degree of certain vehicle-mounted data and the vehicle condition information is 60%, the vehicle-mounted data can be regarded as invalid data. By blocking the reception of invalid data, the processing amount of vehicle-mounted data can be reduced, and the data processing efficiency is improved. Further, the vehicle-mounted data with the matching degree larger than the threshold value of the matching degree in each type of vehicle-mounted data set can be used as effective data, the effective data in each type of vehicle-mounted data set is summarized, and an effective data set corresponding to each type of vehicle-mounted data set is generated.

In an exemplary embodiment, as shown in fig. 7, in each type of the vehicle-mounted data sets, the process of obtaining vehicle-mounted data with a matching degree greater than a preset threshold value includes,

step S710, in each type of vehicle-mounted data set, judging whether the matching degree of each vehicle-mounted data and the vehicle condition information is larger than a threshold value of the matching degree.

And S720, if the matching degree of certain vehicle-mounted data and the vehicle condition information is greater than the threshold value of the matching degree, acquiring the vehicle-mounted data.

It should be noted that, in each type of the vehicle-mounted data set, vehicle-mounted data with a matching degree greater than a preset matching degree threshold may be acquired as valid data. The threshold matching degree may be set based on matching requirements. And in each type of vehicle-mounted data set, vehicle-mounted data with the matching degree smaller than or equal to a preset matching degree threshold value can be obtained to serve as invalid data. By blocking the reception of invalid data, the processing amount of vehicle-mounted data can be reduced, and the data processing efficiency is improved.

As another example, the valid data may also be obtained based on the degree of match ranking. Specifically, after the matching degree between the vehicle-mounted data in each type of vehicle-mounted data set and the vehicle condition information is calculated, the vehicle-mounted data in each type of vehicle-mounted data set can be sorted based on the matching degree to generate a sorting table, and the higher the matching degree is, the higher the priority is. With this sort list, a plurality of pieces of vehicle-mounted data with higher priorities can be selected as valid data.

Therefore, in the scheme, the processing efficiency of the vehicle-mounted data can be improved, the timeliness of the data processing can be improved, and the cost of the data processing can be reduced.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

In one embodiment, a device for processing vehicle-mounted data is provided, and the device for processing vehicle-mounted data corresponds to the method for processing vehicle-mounted data in the above embodiment one to one. As shown in fig. 8, the device for processing vehicle-mounted data includes an obtaining module 801, a matching module 802, a generating module 803, a processing module 804 and a summarizing module 805,

in one embodiment, the obtaining module 801 is specifically configured to,

and acquiring vehicle condition information based on the vehicle-mounted data.

In one embodiment, the generating module 803 is specifically configured to,

and classifying the plurality of vehicle-mounted data to generate a plurality of class labels of the vehicle-mounted data.

In one embodiment, the processing module 804 is specifically configured to,

and calculating the matching degree of each vehicle-mounted data and the vehicle condition information in each type of vehicle-mounted data set.

And screening the vehicle-mounted data in each type of vehicle-mounted data set based on the matching degree to obtain a plurality of effective data sets.

The processing module 804, in one embodiment, is further configured to,

and acquiring the vehicle-mounted data with the matching degree larger than a preset matching degree threshold in each type of vehicle-mounted data set.

The processing module 804, in one embodiment, is further configured to,

and judging whether the matching degree of each type of vehicle-mounted data and the vehicle condition information is greater than a threshold value of the matching degree or not in each type of vehicle-mounted data set.

And if the matching degree of certain vehicle-mounted data and the vehicle condition information is greater than the threshold value of the matching degree, acquiring the vehicle-mounted data.

It should be noted that the processing apparatus for vehicle-mounted data provided in the foregoing embodiment and the processing method for vehicle-mounted data provided in the foregoing embodiment belong to the same concept, and specific ways for the modules and units to perform operations have been described in detail in the method embodiment, and are not described again here. In practical applications, the road condition refreshing apparatus provided in the above embodiment may distribute the above functions by different functional modules according to requirements, that is, divide the internal structure of the apparatus into different functional modules to complete all or part of the above described functions, which is not limited herein.

An embodiment of the present application further provides an electronic device, including: one or more processors; and a storage device, configured to store one or more programs, which when executed by the one or more processors, cause the electronic device to implement the processing method of the vehicle-mounted data provided in the above-described embodiments.

FIG. 9 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application. It should be noted that the computer system of the electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 9, the computer system includes a Central Processing Unit (CPU) 901, which can perform various appropriate actions and processes, such as performing the method described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for system operation are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other via a bus 904. An Input/Output (I/O) interface 905 is also connected to bus 904.

The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN (Local area network) card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary so that a computer program read out therefrom is mounted into the storage section 908 as necessary.

In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 909 and/or installed from the removable medium 911. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 901.

It should be noted that the computer readable media shown in the embodiments of the present application may be computer readable signal media or computer readable storage media or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

Another aspect of the present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to execute the processing method of the in-vehicle data as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist separately without being incorporated in the electronic device.

Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the processing method of the vehicle-mounted data provided in the above-described embodiments.

The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims

1. A processing method of vehicle-mounted data is characterized by comprising the following steps:

respectively screening the vehicle-mounted data sets of multiple categories based on a plurality of preset sub-screening modules in the data screening module to obtain a plurality of effective data sets;

aggregating a plurality of the valid datasets to generate an overall dataset.

2. The method for processing the vehicle-mounted data according to claim 1, wherein the step of acquiring a plurality of vehicle-mounted data and vehicle condition information of the vehicle includes:

and acquiring vehicle condition information based on the vehicle-mounted data.

3. The method for processing the vehicle-mounted data according to claim 1, wherein the step of classifying the plurality of vehicle-mounted data to generate the plurality of categories of vehicle-mounted data sets comprises:

4. The method according to claim 1, wherein the step of performing a screening process on the vehicle-mounted data sets of multiple categories to obtain multiple valid data sets comprises:

calculating the matching degree of each vehicle-mounted data in each type of vehicle-mounted data set and the vehicle condition information;

5. The vehicle-mounted data processing method according to claim 1, wherein each type of the vehicle-mounted data set is matched with the corresponding sub-screening module.

6. The method according to claim 4, wherein the step of performing a screening process on the vehicle-mounted data in each type of the vehicle-mounted data sets based on the matching degree to obtain a plurality of valid data sets comprises:

7. The vehicle-mounted data processing method according to claim 6, wherein the step of obtaining vehicle-mounted data with a matching degree greater than a preset matching degree threshold in each type of vehicle-mounted data set comprises:

judging whether the matching degree of each type of vehicle-mounted data and the vehicle condition information is greater than a threshold value of the matching degree or not in each type of vehicle-mounted data set;

8. An apparatus for processing vehicle-mounted data, comprising:

the processing module is used for respectively screening the vehicle-mounted data sets of multiple categories based on a plurality of preset sub-screening modules in the data screening module so as to obtain a plurality of effective data sets;

and the summarizing module is used for summarizing the effective data sets to generate a total data set.

9. An electronic device, characterized in that the electronic device comprises:

one or more processors;

storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the method of processing in-vehicle data according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when executed by a processor of a computer, causes the computer to execute the method of processing in-vehicle data according to any one of claims 1 to 7.