CN117319440A

CN117319440A - Data acquisition and analysis method and system based on Internet of vehicles

Info

Publication number: CN117319440A
Application number: CN202311258833.3A
Authority: CN
Inventors: 张�成; 王琳; 钟天奇
Original assignee: Shenzhen Douples Technology Co ltd
Current assignee: Shenzhen Douples Technology Co ltd
Priority date: 2023-09-26
Filing date: 2023-09-26
Publication date: 2023-12-29
Anticipated expiration: 2043-09-26
Also published as: CN117319440B

Abstract

The invention provides a data acquisition and analysis method and system based on the Internet of vehicles, wherein the method comprises the following steps: the method comprises the steps of crawling a target driving standard based on big data, determining data acquisition tasks for different types of vehicles based on the target driving standard, and carrying out protocol conversion on the data acquisition tasks to obtain task files; the method comprises the steps that a task file is issued to a vehicle-mounted terminal of a corresponding vehicle based on the Internet of vehicles, the vehicle-mounted terminal is controlled to collect driving data of the vehicle according to the task file, and the collected driving data are fed back to a management terminal in real time; and determining a driving state evaluation index based on the management terminal according to the target driving standard, and analyzing the obtained driving data based on the driving state evaluation index to obtain the real-time running state of each vehicle. The real-time running state of each vehicle is accurately and reliably acquired, so that corresponding management operation is conveniently performed when different vehicles are abnormal, and the driving safety of the vehicles is ensured.

Description

Data acquisition and analysis method and system based on Internet of vehicles

Technical Field

The invention relates to the technical field of data processing, in particular to a data acquisition and analysis method and system based on the Internet of vehicles.

Background

At present, with the continuous development of automobile technology, the structure of automobiles is more and more complex, the functions are more and more, and the operation data of different projects on the automobiles are collected and analyzed through the Internet of vehicles, so that the operation state of the automobiles is conveniently monitored in real time, and the effective management of automobile information is also facilitated;

however, in the prior art, when the vehicle operation data is collected through the internet of vehicles, the types of data to be collected are mostly fixed, namely, the types of the data to be collected are set in advance, the collected types of the vehicle operation data cannot be adjusted in real time according to analysis requirements, and the vehicle operation data are more and more diversified due to more and more functions of the vehicles, and also the collection of the vehicle operation data is more and more difficult, meanwhile, the collection of the vehicle operation data and the analysis of the vehicle operation data are not combined in the prior art, so that the analysis efficiency of the vehicle operation data is greatly reduced, human participation is mostly adopted, the analysis accuracy of the vehicle operation data is reduced, and the management effect of the vehicles is affected;

therefore, in order to overcome the defects, the invention provides a data acquisition and analysis method and system based on the Internet of vehicles.

Disclosure of Invention

The invention provides a data acquisition and analysis method and system based on the Internet of vehicles, which are used for accurately and effectively acquiring driving data of vehicles according to the data acquisition task by determining the data acquisition task of the vehicles, converting the acquisition task into task files and transmitting the task files to corresponding vehicle-mounted terminals, so that the vehicle-mounted terminals are controlled to accurately and effectively acquire the driving data of the vehicles according to the data acquisition task, reliable data support is provided for vehicle running state analysis, finally, the acquired driving data are fed back to a management terminal in real time, the driving data are analyzed through the management terminal, the real-time running states of the vehicles are accurately and reliably acquired, corresponding management operations are conveniently carried out when different vehicles are abnormal, and the driving safety of the vehicles is ensured.

The invention provides a data acquisition and analysis method based on the Internet of vehicles, which is characterized by comprising the following steps:

step 1: the method comprises the steps of crawling a target driving standard based on big data, determining data acquisition tasks for different types of vehicles based on the target driving standard, and carrying out protocol conversion on the data acquisition tasks to obtain task files;

step 2: the method comprises the steps that a task file is issued to a vehicle-mounted terminal of a corresponding vehicle based on the Internet of vehicles, the vehicle-mounted terminal is controlled to collect driving data of the vehicle according to the task file, and the collected driving data are fed back to a management terminal in real time;

Step 3: and determining a driving state evaluation index based on the management terminal according to the target driving standard, and analyzing the obtained driving data based on the driving state evaluation index to obtain the real-time running state of each vehicle.

Preferably, in step 1, a target driving standard is crawled based on big data, and a data acquisition task for different types of vehicles is determined based on the target driving standard, which comprises the following steps:

acquiring target attributes of vehicles to be acquired, determining class labels of the vehicles to be acquired based on the target attributes, and crawling target driving standards corresponding to different class vehicle types according to big data based on the class labels;

analyzing the target driving standard, determining corresponding supervision item sets of different types of vehicle types in the driving process, and analyzing each supervision item in the supervision item sets to obtain corresponding operation characteristics of each supervision item;

and determining data acquisition modes and acquisition frequencies of different supervision projects based on the operation characteristics, and summarizing the data acquisition modes and the acquisition frequencies of different supervision projects in different types of vehicle types to obtain data acquisition tasks of different types of vehicles.

Preferably, a data acquisition and analysis method based on internet of vehicles determines data acquisition modes and acquisition frequencies of different supervision projects based on operation characteristics, and the method comprises the following steps:

acquiring the acquired data acquisition modes, analyzing the data acquisition modes, and acquiring target execution steps corresponding to different data acquisition modes;

extracting execution logic and execution parameters of the target execution step, performing simulation in a computer based on the execution logic and the execution parameters, and acquiring a data simulation acquisition result of each data acquisition mode on a corresponding supervision project based on the simulation result;

and performing difference comparison on the data simulation acquisition result and the expected acquisition result, judging that the data acquisition mode is qualified when the difference value is smaller than a preset difference threshold, otherwise, judging that the data acquisition mode is unqualified, and correcting the data acquisition mode based on the difference comparison result until the difference value is smaller than the preset difference threshold.

Preferably, in step 1, a protocol conversion is performed on a data acquisition task to obtain a task file, which includes:

acquiring the obtained data acquisition tasks, determining the target number of the data acquisition tasks, and constructing task conversion threads for each data acquisition task based on the target number;

Acquiring the identification formats of different types of vehicle types on data, determining corresponding coding rules based on the identification formats, simultaneously analyzing a data acquisition task, extracting target task parameters in the data acquisition task, and performing coding conversion on the target task parameters based on task conversion threads and the corresponding coding rules to obtain target codes corresponding to the data acquisition task;

acquiring configuration information of vehicle-mounted terminals of different types of vehicles, determining readable file parameters corresponding to the different vehicle-mounted terminals based on the configuration information, and defining a standard file frame based on the readable file parameters;

and uniformly formatting the target codes corresponding to the acquired tasks based on the readable file parameters, and filling the uniformly formatted target codes into a standard file frame to obtain the corresponding task files.

Preferably, in step 2, a task file is issued to a vehicle-mounted terminal of a corresponding vehicle based on the internet of vehicles, which includes:

acquiring the obtained task files and the number of the vehicle-mounted terminals, synchronously constructing a distributed transmission link between the management terminal and the vehicle-mounted terminals based on the number of the vehicle-mounted terminals, and marking the distributed transmission link for the first time based on the identity information of the vehicle-mounted terminals;

Extracting a second mark in the task file, matching the first mark with the second mark, and determining corresponding target transmission links of different task files in the distributed transmission links based on a matching result;

and uploading the task file to a transmission queue in a corresponding target transmission link, determining a target vehicle needing to acquire vehicle operation data at the same moment based on the data acquisition aging value, and controlling the target transmission link corresponding to the target vehicle to synchronously transmit the task file to a vehicle-mounted terminal of the corresponding vehicle based on the transmission queue.

Preferably, in step 2, a vehicle-mounted terminal is controlled to collect driving data of a vehicle according to a task file, and the collected driving data is fed back to a management terminal in real time, which comprises the following steps:

acquiring an obtained task file, analyzing the task file, and determining data acquisition items of driving data of different types of vehicles and data acquisition periods corresponding to the different data acquisition items;

configuring a preset always generator based on a data acquisition period, generating a periodic trigger instruction based on a configuration result, and controlling a vehicle-mounted terminal to acquire driving data corresponding to different data acquisition items in a vehicle at the current moment according to a task file based on the periodic trigger instruction;

Determining driving data corresponding to different data acquisition items in the same vehicle based on the acquisition result, and summarizing the driving data corresponding to the different data acquisition items in the same vehicle to obtain an initial message;

extracting data characteristics of driving data corresponding to different data acquisition items, generating data catalogues of the driving data corresponding to the different data acquisition items based on the data characteristics, and adding the data catalogues in an initial message to obtain a basic message;

meanwhile, a class label is determined based on the type of the current vehicle, the basic message is marked on the basis of the class label, a target message is obtained based on a marking result, meanwhile, the target messages of different vehicles are summarized and compressed based on a preset gateway, a driving data feedback packet is obtained, and the obtained driving data feedback packet is fed back to the management terminal in real time based on a wireless transmission link.

Preferably, a data acquisition and analysis method based on internet of vehicles feeds back the obtained driving data feedback packet to a management terminal in real time based on a wireless transmission link, and the method comprises the following steps:

acquiring a received driving data feedback packet, decompressing the driving data feedback packet, and obtaining driving data corresponding to different vehicles;

Clustering the driving data of different data acquisition projects in different vehicles to obtain isolated sample data in the different data acquisition projects, and cleaning the isolated sample data by matching target data cleaning rules from a preset data cleaning rule base based on the data structure characteristics of the isolated sample data;

extracting adjacent data value of the isolated sample data based on the cleaning result, determining a theoretical value interval corresponding to the isolated sample data based on the adjacent data value, determining a data value change trend based on a target value of driving data of a current data acquisition project, determining an ideal value of the position data of the isolated sample data from the theoretical value interval based on the data value change trend, and replacing an original value of the isolated sample book based on the ideal value.

Preferably, in step 3, a driving state evaluation index is determined based on a management terminal according to a target driving standard, and the obtained driving data is analyzed based on the driving state evaluation index to obtain a real-time running state of each vehicle, which comprises the following steps:

the method comprises the steps of obtaining a target driving standard and a standard road condition corresponding to the target driving standard, extracting road characteristics of the standard road condition and standard characteristics of the target driving standard, and determining an objective function between the road condition and the target driving standard based on the road characteristics and the standard characteristics;

Acquiring a target road condition of a current road section of a vehicle, and analyzing the target road condition based on a target function to obtain a corrected driving standard corresponding to the current road section;

analyzing the corrected driving standard to obtain initial driving state evaluation indexes corresponding to different supervision projects in different types of vehicles, determining quantized values and target weights of the initial driving state evaluation indexes based on historical driving states in a server, and carrying out association binding on the quantized values and the target weights and the corresponding initial driving state evaluation indexes to obtain final driving state evaluation indexes;

constructing a driving state evaluation system based on driving state evaluation indexes, analyzing the obtained driving data based on the driving state evaluation system, extracting characteristic parameters of the driving data corresponding to different supervision projects in different types of vehicles, and correcting the characteristic parameters based on target road conditions of the road section where the vehicle is currently located to obtain a real-time running state curve of the current vehicle in the road section where the vehicle is currently located;

meanwhile, acquiring a reference running state curve of the vehicle on the current road section based on the corrected running standard, performing superposition display on the real-time running state curve and the reference running state curve in the same two-dimensional coordinate system, and determining amplitude difference values of the real-time running state curve and the reference running state curve at different moments based on superposition display results;

And determining the number of time points when the amplitude difference value is not in the preset allowable range, and obtaining the real-time running states of different supervision projects of different types of vehicles based on the number of time points and the difference value between the amplitude difference value and the preset allowable range.

Preferably, a data acquisition and analysis method based on internet of vehicles obtains real-time running states of different supervision projects of different types of vehicles, including:

acquiring the real-time running states of different supervision projects of different types of vehicles, and extracting target time information corresponding to the different real-time running states;

a target record template is called from a preset record template library, and the supervision items, the real-time running state and the corresponding target time information are recorded and stored in the target record template;

meanwhile, determining a device identification position for controlling the supervision project according to the supervision project and the real-time running state based on the record storage result, determining a target state of the device to be controlled based on the device identification position and the real-time running state, and determining a control strategy of the device to be controlled based on the target state;

and issuing a control strategy to the corresponding vehicle-mounted terminal, and controlling the device to be controlled to perform state adjustment based on the vehicle-mounted terminal.

The invention provides a data acquisition and analysis system based on the Internet of vehicles, which comprises:

the file determining module is used for crawling the target driving standard based on the big data, determining data acquisition tasks of different types of vehicles based on the target driving standard, and carrying out protocol conversion on the data acquisition tasks to obtain task files;

the data acquisition module is used for transmitting the task file to the vehicle-mounted terminal of the corresponding vehicle based on the Internet of vehicles, controlling the vehicle-mounted terminal to acquire the driving data of the vehicle according to the task file, and feeding the acquired driving data back to the management terminal in real time;

the data analysis module is used for determining driving state evaluation indexes according to target driving standards based on the management terminal, and analyzing the obtained driving data based on the driving state evaluation indexes to obtain real-time running states of all vehicles.

Compared with the prior art, the invention has the following beneficial effects:

1. the vehicle data acquisition task is determined, the acquisition task is converted into a task file and then transmitted to the corresponding vehicle-mounted terminal, the vehicle-mounted terminal is controlled to accurately and effectively acquire the vehicle driving data according to the data acquisition task, reliable data support is provided for vehicle running state analysis, finally, the acquired driving data are fed back to the management terminal in real time, the real-time running states of the vehicles are accurately and reliably acquired through the management terminal for analysis, corresponding management operation is conveniently carried out when different vehicles are abnormal, and the driving safety of the vehicles is guaranteed.

2. The method comprises the steps of analyzing the obtained task file, accurately and effectively determining data acquisition items and data acquisition periods of driving data of different types of vehicles, configuring a preset clock generator through the data acquisition periods, effectively acquiring the driving data of different types of vehicles within a certain time, finally summarizing the driving data corresponding to the different data acquisition items of the same vehicle, marking the summarized message through a class label of the type of the vehicle, accurately and effectively acquiring the driving data finally required, summarizing, compressing and feeding back target messages corresponding to different vehicles to a management terminal, accurately and effectively acquiring and receiving the driving data, providing reliable data support for vehicle driving state analysis, guaranteeing the accuracy of vehicle driving state analysis, facilitating corresponding management operation when different vehicles are abnormal, and guaranteeing the driving safety of the vehicle.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

The technical scheme of the invention is further described in detail through the drawings and the embodiments.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

FIG. 1 is a flow chart of a data acquisition and analysis method based on the Internet of vehicles in an embodiment of the invention;

FIG. 2 is a flowchart of step 1 in a data acquisition and analysis method based on Internet of vehicles according to an embodiment of the present invention;

fig. 3 is a block diagram of a data acquisition and analysis system based on internet of vehicles in an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.

Example 1:

the embodiment provides a data acquisition and analysis method based on the internet of vehicles, as shown in fig. 1, including:

In this embodiment, the target driving standard refers to a safety standard corresponding to driving of different types of vehicles on a road, for example, the highest speed, the highest load value, the safe following distance and the like of driving, where the different types of vehicles may be trucks, sedans and the like, and the target driving standards corresponding to the different types of vehicles are different.

In this embodiment, the data collection task is used to characterize the data types collected when data collection is performed on different types of vehicles, the amount of data collected, and the like.

In this embodiment, the protocol conversion refers to converting an obtained data acquisition task into a file that can be identified by the vehicle-mounted terminal, so as to facilitate effective acquisition of driving data of the vehicle, where the task file is a file obtained after the data acquisition task is subjected to protocol conversion.

In this embodiment, the driving data refers to data generated during the driving of different types of vehicles on the road, and may specifically include driving data, vehicle body data, and the like.

In this embodiment, the driving state evaluation index refers to a basis for analyzing and evaluating driving states of different types of vehicles according to driving data, and is determined according to corresponding target driving standards.

In this embodiment, the real-time running state refers to a good running condition of each vehicle on a road, or the like.

The beneficial effects of the technical scheme are as follows: the vehicle data acquisition task is determined, the acquisition task is converted into a task file and then transmitted to the corresponding vehicle-mounted terminal, the vehicle-mounted terminal is controlled to accurately and effectively acquire the vehicle driving data according to the data acquisition task, reliable data support is provided for vehicle running state analysis, finally, the acquired driving data are fed back to the management terminal in real time, the real-time running states of the vehicles are accurately and reliably acquired through the management terminal for analysis, corresponding management operation is conveniently carried out when different vehicles are abnormal, and the driving safety of the vehicles is guaranteed.

Example 2:

on the basis of embodiment 1, the present embodiment provides a data acquisition and analysis method based on internet of vehicles, as shown in fig. 2, in step 1, a target driving standard is crawled based on big data, and data acquisition tasks for different types of vehicles are determined based on the target driving standard, including:

step 101: acquiring target attributes of vehicles to be acquired, determining class labels of the vehicles to be acquired based on the target attributes, and crawling target driving standards corresponding to different class vehicle types according to big data based on the class labels;

step 102: analyzing the target driving standard, determining corresponding supervision item sets of different types of vehicle types in the driving process, and analyzing each supervision item in the supervision item sets to obtain corresponding operation characteristics of each supervision item;

step 103: and determining data acquisition modes and acquisition frequencies of different supervision projects based on the operation characteristics, and summarizing the data acquisition modes and the acquisition frequencies of different supervision projects in different types of vehicle types to obtain data acquisition tasks of different types of vehicles.

In this embodiment, the target attribute refers to a parameter capable of characterizing the vehicle type of the vehicle to be collected.

In this embodiment, the category label refers to a marker symbol capable of characterizing the type of vehicle to be collected.

In this embodiment, the supervision item set refers to all items for supervising different types of vehicle types, and may be, for example, a vehicle running speed, a vehicle device working state, and a running completion.

In this embodiment, the operation characteristics refer to the manner in which different supervision items are embodied in the vehicle during the running of the vehicle, the corresponding generation conditions, and the like.

The beneficial effects of the technical scheme are as follows: the target attribute of the vehicle to be acquired is analyzed, the type label of the vehicle is locked, so that the corresponding target driving standard is convenient to climb according to each big data of the type label, the driving standard is analyzed, the type of the data to be acquired, the acquisition mode and the acquisition frequency are locked, the data acquisition task is formulated accurately and reliably, and the driving data of different types of vehicles can be acquired accurately and effectively according to the data acquisition task.

Example 3:

on the basis of embodiment 2, the embodiment provides a data acquisition and analysis method based on the internet of vehicles, which determines data acquisition modes and acquisition frequencies of different supervision projects based on operation characteristics, and comprises the following steps:

In this embodiment, the target execution step refers to a specific data acquisition mode or acquisition strategy included in the data acquisition mode.

In this embodiment, the execution logic is configured to characterize the sequence of execution steps of different targets, so as to facilitate verification of feasibility of the data acquisition mode.

In this embodiment, the execution parameters refer to specific execution degrees corresponding to the target execution steps, that is, specific collection amounts and collection time points when the driving data are collected.

In this embodiment, the preset collection result is known in advance, and is characterized by a data collection result obtained after data collection is performed on the corresponding supervision item in a data collection manner in theory.

In this embodiment, the preset difference threshold is set in advance, and is a standard for measuring whether the difference value between the data simulation acquisition result and the expected acquisition result is in an allowable range, and is adjustable according to the actual situation.

The beneficial effects of the technical scheme are as follows: the acquired data acquisition mode is analyzed to accurately determine the execution logic and the execution parameters corresponding to the target execution step and the target execution step included in the data acquisition mode, then the computer simulates the data acquisition effect of the data acquisition mode according to the execution logic and the execution parameters, and the simulation result is compared with the expected acquisition result in a difference mode, so that the qualification of the data acquisition mode corresponding to different supervision projects is accurately and effectively checked, the acquisition accuracy of the driving data of different types of vehicles is ensured, and the accuracy of the driving state analysis of the different types of vehicles is also improved.

Example 4:

on the basis of embodiment 1, the present embodiment provides a data acquisition and analysis method based on internet of vehicles, in step 1, protocol conversion is performed on a data acquisition task to obtain a task file, including:

In this embodiment, the target number refers to the number of obtained data acquisition tasks, so that a corresponding number of task conversion threads are conveniently constructed, where the task conversion threads are conversion processes for converting the data acquisition tasks into corresponding task files.

In this embodiment, the encoding rule is determined according to the recognition formats of the data of different types of vehicle types, so as to convert the data acquisition task into an encoding form that can be effectively recognized by the vehicle-mounted terminals of the different types of vehicle types.

In this embodiment, the target task parameter refers to a data segment in the data acquisition task that can characterize a specific acquisition requirement.

In this embodiment, the target code refers to a format in which the corresponding code content obtained by performing code conversion on the target task parameter according to the task conversion thread and the coding rule can be identified by the vehicle-mounted terminal.

In this embodiment, the configuration information refers to parameters that can characterize the structure of the vehicle-mounted terminal and the manner of reading the data.

In this embodiment, the readable file parameter refers to a file type that can be read by the in-vehicle terminal.

In this embodiment, the standard file frame refers to making a file template according to the parameters of the pluggable file, so that the target codes are convenient to collect in the file template, and the task file is obtained.

In this embodiment, unified formatting refers to converting a target code corresponding to a data acquisition task into a unified format, so as to facilitate canonical presentation in a standard file frame.

The beneficial effects of the technical scheme are as follows: by analyzing the obtained data acquisition tasks, the corresponding task conversion threads are configured, so that the data acquisition tasks are converted into corresponding task files through the task conversion threads and the data identification formats of the vehicle-mounted terminals, the accuracy of the data acquisition task conversion is ensured, the efficiency and accuracy of the vehicle-mounted terminals in identifying the task files are also improved, and the efficiency and accuracy of the vehicle-mounted terminals in acquiring the driving data through the Internet of vehicles are ensured.

Example 5:

on the basis of embodiment 1, the present embodiment provides a data acquisition and analysis method based on the internet of vehicles, in step 2, a task file is issued to a vehicle-mounted terminal of a corresponding vehicle based on the internet of vehicles, including:

In this embodiment, the distributed transmission link means that transmission links between the mobile phone and the management terminal are respectively constructed, that is, communication between different mobile phones and the management terminal is not affected by other mobile phones.

In this embodiment, the first marking refers to marking different transmission links in the distributed transmission links according to identity information of the vehicle-mounted terminal, so as to determine specific transmission links corresponding to different vehicle-mounted terminals.

In this embodiment, the second flag refers to a corresponding vehicle-mounted terminal marked in the task file, so as to determine a transmission link corresponding to the task file.

In this embodiment, the target transmission link refers to a specific transmission link corresponding to the task file.

In this embodiment, the data acquisition aging value refers to the time requirement of acquiring the driving data of different types of vehicles, for example, the corresponding driving data needs to be acquired within one minute.

In this embodiment, the target vehicle refers to a vehicle that needs to perform synchronous data acquisition at the same time.

The beneficial effects of the technical scheme are as follows: the number of the task files and the vehicle-mounted terminals is determined, so that the distributed transmission links are accurately and effectively constructed, and the task files are issued to the corresponding vehicle-mounted terminals through the constructed distributed transmission links by determining the corresponding relation among the vehicle-mounted terminals, the transmission links and the task files, so that the corresponding vehicle-mounted terminals can be conveniently controlled to accurately and effectively acquire driving data according to data acquisition tasks.

Example 6:

on the basis of embodiment 1, the present embodiment provides a data acquisition and analysis method based on internet of vehicles, in step 2, a vehicle-mounted terminal is controlled to acquire driving data of vehicles according to task files, and the acquired driving data is fed back to a management terminal in real time, including:

In this embodiment, the data collection items refer to the kinds of data collection required for different types of vehicles.

In this embodiment, the data acquisition period refers to a time interval for acquiring driving data corresponding to different data acquisition projects, so as to ensure effective acquisition of the driving data according to the data acquisition task.

In this embodiment, the preset clock generator is set in advance, and is used for generating a periodic trigger signal according to the configuration result.

In this embodiment, the periodic triggering instruction refers to a data acquisition instruction generated by a preset clock generator according to a configuration result of a data acquisition period, so that the vehicle-mounted terminal is convenient to control to acquire driving data.

In this embodiment, the initial message refers to all driving data of the vehicle obtained by summarizing driving data corresponding to different data acquisition items of the same vehicle.

In this embodiment, the data features refer to a value range corresponding to the driving data, a corresponding data structure, and the like.

In this embodiment, the data directory refers to index titles corresponding to different driving data generated according to data features, so that the data conditions of the different driving data can be recorded in an initial message conveniently, and normalization of data acquisition is facilitated.

In this embodiment, the basic message refers to a message obtained by adding the obtained data target to the corresponding initial message.

In this embodiment, the target message refers to a final message obtained after marking the obtained basic message according to the category label, that is, all driving data corresponding to different vehicles are collected.

In this embodiment, the preset gateway is set in advance, and is used for summarizing target messages of different vehicles.

In this embodiment, the driving data feedback packet refers to a data packet obtained by summarizing and compressing target messages of different vehicles through a preset gateway, and can be directly fed back.

The beneficial effects of the technical scheme are as follows: the method comprises the steps of analyzing the obtained task file, accurately and effectively determining data acquisition items and data acquisition periods of driving data of different types of vehicles, configuring a preset clock generator through the data acquisition periods, effectively acquiring the driving data of different types of vehicles within a certain time, finally summarizing the driving data corresponding to the different data acquisition items of the same vehicle, marking the summarized message through a class label of the type of the vehicle, accurately and effectively acquiring the driving data finally required, summarizing, compressing and feeding back target messages corresponding to different vehicles to a management terminal, accurately and effectively acquiring and receiving the driving data, providing reliable data support for vehicle driving state analysis, guaranteeing the accuracy of vehicle driving state analysis, facilitating corresponding management operation when different vehicles are abnormal, and guaranteeing the driving safety of the vehicle.

Example 7:

on the basis of embodiment 6, the present embodiment provides a data acquisition and analysis method based on internet of vehicles, and the real-time feedback of the obtained driving data feedback packet to the management terminal based on the wireless transmission link, including:

In this embodiment, the isolated sample data refers to at least one data with a value of the driving data deviating from the average value too much in different data collection projects.

In this embodiment, the data structure features refer to association relationships, interaction relationships, and the like between isolated sample data and other normal data.

In this embodiment, the preset data cleansing rule base is set in advance, and is used for storing different data cleansing rules.

In this embodiment, the target data cleansing rule refers to a rule suitable for cleansing the current isolated sample data.

In this embodiment, the theoretical value interval refers to a range where isolated sample data should be valued, which is determined according to neighboring data, and specifically may be a corresponding range of values determined according to neighboring data and an average value of the neighboring data and the neighboring data.

In this embodiment, the ideal value refers to a final value corresponding to isolated sample data determined from the theoretical value interval.

The beneficial effects of the technical scheme are as follows: the method comprises the steps of decompressing and clustering received driving data feedback packets to accurately and effectively determine isolated sample data in the driving data, matching corresponding target data cleaning rules from a preset data cleaning rule base according to data structure characteristics of the isolated sample data to effectively clean the isolated sample data through the target data cleaning rules, and finally, determining a data value change trend according to adjacent data values of the isolated sample data and target values of the driving data to replace original values of the isolated sample data, so that the effectiveness of the finally obtained driving data is guaranteed, and the accuracy of driving state analysis of a vehicle is also guaranteed.

Example 8:

on the basis of embodiment 1, the present embodiment provides a data acquisition and analysis method based on internet of vehicles, in step 3, a driving state evaluation index is determined based on a management terminal according to a target driving standard, and the obtained driving data is analyzed based on the driving state evaluation index, so as to obtain a real-time running state of each vehicle, including:

In this embodiment, the standard road condition refers to a road condition corresponding to the target driving standard, for example, the road condition corresponding to the target driving standard is a straight line, and the road is four lanes.

In this embodiment, the road characteristics refer to specific road parameters corresponding to standard road conditions, including the number of road turns, the turning angle, the road width, the gradient, and the like.

In this embodiment, the normative features refer to driving behaviors defined by the target driving standard, such as the maximum vehicle speed, the turning maximum vehicle speed, the safe following distance, and the like.

In this embodiment, the objective function is used to characterize the interaction relationship between the target driving standard and the road condition, so as to facilitate determining the corresponding driving standard according to the road condition.

In this embodiment, the target road condition refers to a road condition corresponding to a road section where the current road section is located.

In this embodiment, the corrected driving standard refers to a driving standard applicable to a current road section obtained after correcting the target driving standard according to the target road condition of the road section where the vehicle is currently located.

In this embodiment, the initial driving state evaluation index refers to no specific limit amount, but simply knows the index type.

In this embodiment, the historical driving states are known and stored in the server, and are used for determining quantized values and target weights of the initial driving state evaluation indexes, specifically, the quantized values are obtained by analyzing the historical driving states of different vehicles under different road conditions and driving standards, wherein the quantized values are specific limiting values corresponding to each initial driving state evaluation, for example, the vehicle speed of a road section where the vehicle is currently located cannot exceed 80km/h, and the target weights are used for representing the importance degree of the different driving state evaluation indexes when the driving state evaluation is performed, and the larger the quantized values are, the higher the acting degree is.

In this embodiment, the characteristic parameters refer to specific values corresponding to different driving data, types of data included, and the like.

In this embodiment, the real-time running state curve refers to converting the obtained characteristic parameters into corresponding curves, so as to represent the running state change conditions of the vehicle at different moments.

In this embodiment, the reference running state curve refers to a standard running state corresponding to the vehicle under the corrected running standard, so that the real-time running state curve and the reference running state curve can be compared conveniently, and whether the running state of the vehicle is abnormal or not can be judged conveniently.

In this embodiment, the amplitude difference refers to a value difference corresponding to the real-time running state curve and the reference running state curve at the same time.

In this embodiment, the preset allowable range is set in advance, and the reference for measuring the allowable range is adjustable.

The beneficial effects of the technical scheme are as follows: the method comprises the steps of determining standard road conditions corresponding to target driving standards, effectively determining target functions between road conditions and the target driving standards according to road characteristics of the standard road conditions and standard characteristics of the target driving standards, analyzing the target road conditions of a road section where a vehicle is currently located through the target functions, locking corrected driving standards corresponding to the road section where the vehicle is currently located, accurately and reliably determining driving state evaluation indexes based on the corrected driving standards and historical driving states, finally analyzing obtained driving data through the determined driving state evaluation indexes, comparing analysis results with a reference driving state curve, accurately and effectively determining real-time driving states of different supervision projects of different types of vehicles, guaranteeing accuracy of real-time driving state analysis of the vehicles, facilitating corresponding management operations when different vehicles are abnormal, and guaranteeing driving safety of the vehicles.

Example 9:

on the basis of embodiment 8, the embodiment provides a data acquisition and analysis method based on the internet of vehicles, which obtains real-time running states of different supervision projects of different types of vehicles, comprising:

In this embodiment, the target time information refers to specific time conditions corresponding to different real-time running states.

In this embodiment, the preset record template library is set in advance, and is used for storing different record templates.

In this embodiment, the target recording template refers to a template suitable for recording the information to be recorded currently.

In this embodiment, the device identification bit is a device for characterizing a specific device that needs to control the vehicle in the regulatory project, i.e. a device that needs to adjust the operating state.

In this embodiment, the target state refers to the current operating condition of the device to be controlled in the vehicle.

The beneficial effects of the technical scheme are as follows: the obtained real-time running states of different supervision projects of different types of vehicles, corresponding target time information and supervision projects are recorded, so that the real-time running states of the different types of vehicles are effectively recorded, a management terminal is convenient to perform corresponding data query, and secondly, when the real-time running states of the vehicles are abnormal, effective adjustment is performed on devices to be controlled of the vehicles according to the recording results, and the running safety of the vehicles is guaranteed.

Example 10:

the embodiment provides a data acquisition and analysis system based on internet of vehicles, as shown in fig. 3, including:

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims

1. The data acquisition and analysis method based on the Internet of vehicles is characterized by comprising the following steps of:

2. The method for collecting and analyzing data based on internet of vehicles according to claim 1, wherein in step 1, based on big data crawling target driving standard, determining data collecting tasks for different types of vehicles based on the target driving standard comprises:

3. The method for collecting and analyzing data based on the internet of vehicles according to claim 2, wherein determining the data collecting modes and the collecting frequencies for different supervision projects based on the operation characteristics comprises:

4. The method for acquiring and analyzing data based on the internet of vehicles according to claim 1, wherein in step 1, protocol conversion is performed on a data acquisition task to obtain a task file, comprising:

5. The method for acquiring and analyzing data based on the internet of vehicles according to claim 1, wherein in step 2, the task file is issued to the vehicle-mounted terminal of the corresponding vehicle based on the internet of vehicles, comprising:

6. The method for acquiring and analyzing data based on the internet of vehicles according to claim 1, wherein in step 2, the vehicle-mounted terminal is controlled to acquire driving data of the vehicle according to the task file, and the acquired driving data is fed back to the management terminal in real time, and the method comprises the following steps:

7. The data acquisition and analysis method based on the internet of vehicles according to claim 6, wherein feeding back the obtained driving data feedback packet to the management terminal in real time based on the wireless transmission link comprises:

8. The method for acquiring and analyzing data based on the internet of vehicles according to claim 1, wherein in step 3, a driving state evaluation index is determined based on a management terminal according to a target driving standard, and the obtained driving data is analyzed based on the driving state evaluation index to obtain a real-time running state of each vehicle, and the method comprises the following steps:

9. The method for acquiring and analyzing data based on the internet of vehicles according to claim 8, wherein obtaining real-time running states of different supervision projects of different types of vehicles comprises:

10. The data acquisition and analysis system based on the Internet of vehicles is characterized by comprising: