CN112398907A - Method and related device for driving behavior fidelity data chain based on block chain - Google Patents
Method and related device for driving behavior fidelity data chain based on block chain Download PDFInfo
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Abstract
The embodiment of the application provides a method and a related device for a driving behavior fidelity data chain based on a block chain, which are used for improving the protection on privacy during transmission and reducing the hidden dangers of information leakage, data loss and data tampering. The method in the embodiment of the application comprises the following steps: the vehicle-mounted end acquires the identity information of a driver; the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information; the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data; and the vehicle-mounted terminal uploads the initial data to a message queue through a TCP protocol.
Description
Technical Field
The embodiment of the application relates to the field of data processing, in particular to a driving behavior fidelity data chain method based on a block chain and a related device.
Background
The driving of the motor vehicle needs to be provided with a driver license, so that the level of a student in a driving school can be evaluated to improve the teaching efficiency of a coach in the driving school, and an intelligent system is popularized for the vehicles in the driving school, can monitor the driving behavior data of the student, and generates a corresponding file according to the personal information of the student to improve the teaching efficiency of the coach in the driving school.
In the prior art, a C/S (Client-Server) architecture is adopted for transmission and storage of driving behavior data, and a block chain Server of the architecture directly downloads and stores the driving behavior data uploaded to a message queue from a vehicle side.
Disclosure of Invention
The embodiment of the application provides a method and a related device for a driving behavior fidelity data chain based on a block chain, which are used for improving the protection on privacy during transmission and reducing the hidden dangers of information leakage, data loss and data tampering.
The application provides a method for a motor vehicle driving behavior fidelity data chain based on a block chain, which comprises the following steps:
the vehicle-mounted end acquires the identity information of a driver;
the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
and the vehicle-mounted terminal uploads the initial data to a message queue through a TCP protocol.
Optionally, after the vehicle-mounted terminal stores the target data in a block chain, the method further includes:
the vehicle-mounted end performs offline sampling calculation on the target data to obtain a target result;
the vehicle-mounted terminal judges whether the target result is data matching;
if not, the vehicle-mounted server secondarily synchronizes the target data.
Optionally, after the target data is resynchronized, the method further includes:
and the vehicle-mounted end message informs a process supervision system, so that the process supervision system records the target data by the block chain server through the message notice.
The application provides a method for a motor vehicle driving behavior fidelity data chain based on a block chain, which comprises the following steps:
the block chain server side downloads initial data from the message queue;
the block chain server analyzes the initial data to obtain target data;
and the block chain server stores the target data to a block chain.
Optionally, the analyzing the initial data by the block chain server to obtain the target data includes:
the block chain server analyzes the initial data;
and the block chain server marks a unique identifier for the analyzed initial data to obtain the target data, wherein the unique identifier is used for corresponding to the initial data and the target data.
The third aspect of the present application provides an on-vehicle end, comprising:
the acquiring unit is used for acquiring the identity information of the driver;
the extraction unit is used for extracting driving behavior data matched with the driver identity information through the driver identity information;
an encryption unit for encrypting the driving behavior data,
and the uploading unit is used for uploading the initial data to a message queue through a TCP protocol.
Optionally, the vehicle-mounted terminal further includes:
the calculating unit is used for performing offline sampling calculation on the target data to obtain a target result;
the judging unit is used for judging whether the target result is data matching;
and the synchronization unit is used for secondarily synchronizing the target data when the judgment result is negative.
Optionally, the vehicle-mounted device further includes:
and the message notification unit is used for notifying a process supervision system by a message so that the process supervision system records the target data resynchronized by the blockchain server through the message notification.
A fourth aspect of the present application provides a blockchain server, including:
a downloading unit for downloading initial data from the message queue;
the analysis unit is used for analyzing the initial data to obtain target data;
and the storage unit is used for storing the target data to the block chain.
Optionally, the parsing unit includes:
the analysis module is used for analyzing the initial data;
and the marking module is used for marking a unique identifier for the analyzed initial data to obtain the target data, wherein the unique identifier is used for corresponding to the initial data and the target data.
The fifth aspect of the present application provides an on-vehicle end, comprising:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the processor specifically performs the following operations:
the vehicle-mounted end acquires the identity information of a driver;
the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
and the vehicle-mounted terminal uploads the initial data to a message queue through a TCP protocol.
The sixth aspect of the present application is directed to a blockchain server, including:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the processor specifically performs the following operations:
the block chain server side downloads initial data from the message queue;
the block chain server analyzes the initial data to obtain target data;
and the block chain server stores the target data to a block chain.
According to the technical scheme, the vehicle-mounted end extracts the driving behavior data matched with the driver identity information through the driver identity information, encrypts the data and uploads the encrypted data to the message queue through the TCP, and the transmission mode easily improves the privacy protection during transmission and reduces the hidden dangers of information leakage, data loss and data tampering.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of a method for a block chain-based driving behavior fidelity data chain in the present application;
FIG. 2 is a schematic flow chart illustrating an embodiment of a method for a block chain-based driving behavior fidelity data chain according to the present disclosure;
FIG. 3 is a schematic structural diagram of an embodiment of a vehicle-mounted terminal in the embodiment of the present application;
FIG. 4 is a schematic structural diagram of another embodiment of a vehicle-mounted terminal in the embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a blockchain server in the present application;
fig. 6 is a schematic structural diagram of another embodiment of a blockchain server in the present application;
FIG. 7 is a schematic structural diagram of another embodiment of a vehicle-mounted terminal in the embodiment of the present application;
fig. 8 is a schematic structural diagram of another embodiment of a blockchain server in the present application.
Detailed Description
The embodiment of the application provides a method and a related device for a driving behavior fidelity data chain based on a block chain, which are used for improving the protection on privacy during transmission and reducing the hidden dangers of information leakage, data loss and data tampering.
The technical solutions in the present application will be described in detail and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The driving environment applicable to the driving environment, such as driving school learning, driving qualification test and other conditions needing behavior driving record, can be realized in the application, and the driving school learning is used as a main description condition in the application.
Referring to fig. 1, an embodiment of the present application provides a method for a motor vehicle driving behavior fidelity data chain based on a block chain, including:
101. the vehicle-mounted end acquires the identity information of a driver;
before a driver drives a vehicle, identity information needs to be input into a system of a vehicle-mounted terminal, and after the identity information of the driver is determined to be legal information, the vehicle-mounted terminal can match driving behavior data of the driver with the identity information of the driver.
In practical situations, starting from the start of the vehicle by the driver, the vehicle-mounted end system monitors the behavior of the driver all the time and stores the behavior data of the driver to the local.
102. The vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
and stopping recording the behavior of the driver after the driver puts the automobile out of service, extracting the recorded driving behavior data by the vehicle-mounted end system according to the identity information of the driver, and calibrating the driving behavior data by taking the identity information of the driver as an identifier, so that the system can determine the driving behavior data of the driver through the identity information of the driver.
103. The vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
after the vehicle-mounted terminal extracts the driving behavior data of the driver in step 102, in order to ensure data security, the vehicle-mounted terminal encrypts the driving behavior data including the identity information of the driver before uploading the driving behavior data to the withdrawal and connection server.
In practical situations, the identity information of the trainees in the driving school comprises a license plate number, an identity card number of the trainee, an identity card number of a coach and a social uniform credit number of the driving school, the identifications are configured before the vehicle-mounted terminal is initialized, and the identifications generate unique codes through an MD5(Message-Digest Algorithm) to serve as verification so as to prevent the identifications from being tampered.
104. The vehicle-mounted end uploads the initial data to a message queue through a TCP (transmission control protocol);
the embodiment of the application uses a scheme of using the database in parallel, data with unique identification is simultaneously stored in a block chain server and a vehicle-mounted end database through a message middleware, the data in the block chain server is used as feasibility fidelity, and the data in the vehicle-mounted end database is used as data analysis and real-time query. The message middleware uses a Rockmtmq message queue, and the vehicle-mounted end data uploads data encryption to the Rockmtmq message queue through a TCP protocol.
105. The block chain server side downloads initial data from the message queue;
the blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. The block chain is a serial transaction record (also called a block) which is cryptographically connected in series and protects the content, and each block comprises an encrypted hash of a previous block, a corresponding time stamp and transaction data, so that the block content has the characteristic of being difficult to tamper. The distributed account book connected in series by the block chain can effectively record the transaction by two parties and permanently check the data.
In the embodiment of the application, in order to enable the driving behavior data to achieve the fidelity effect, a message middleware is sent from the vehicle-mounted terminal to the rockmq message queue, and when the blockchain server detects that a new message exists in the rockmq message queue, the new message is downloaded.
106. The block chain server analyzes the initial data to obtain target data;
after the blockchain server obtains new driving behavior data, the blockchain server analyzes the obtained data, and the analyzing process comprises the steps of obtaining encrypted initial data through a message middleware, analyzing the message middleware through a set secret key, and obtaining driver information and the driving behavior data of the driver.
107. And the block chain server stores the target data to a block chain.
After the blockchain server obtains the driver information and the driving behavior data related to the driver through step 106, the blockchain server stores the target data obtained or obtained by the blockchain server into the blockchain.
In the embodiment of the application, the vehicle-mounted end is used for acquiring data and uploading the acquired data to the RockettMq message queue, so that the blockchain server can download the data from the RockettMq message queue, the blockchain server stores the data, and the vehicle-mounted end and the blockchain server both store the data, thereby ensuring the accuracy of the data.
Referring to fig. 2, an embodiment of the present application provides a method for a motor vehicle driving behavior fidelity data chain based on a block chain, including:
201. the vehicle-mounted end acquires the identity information of a driver;
202. the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
203. the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
204. the vehicle-mounted end uploads the initial data to a message queue through a TCP (transmission control protocol);
205. the block chain server side downloads initial data from the message queue;
206. The block chain server analyzes the initial data;
in an actual situation, after the blockchain server acquires the initial data, the blockchain server analyzes the initial data, so that the blockchain server can operate on the initial data, and generally, the operation can only be an adding operation to ensure the authenticity of information.
207. The block chain server side marks a unique identifier for the analyzed initial data to obtain the target data, wherein the unique identifier is used for corresponding to the initial data and the target data;
in order to facilitate information search and extraction, in an actual situation, after the block chain server analyzes the initial data, a unique label is marked on the analyzed initial data according to the driver information in the initial data, and target data are generated.
208. The block chain server stores the target data to a block chain;
step 208 in this embodiment is similar to step 107 in the previous embodiment, and is not repeated here.
209. The vehicle-mounted end performs offline sampling calculation on the target data to obtain a target result;
in an actual situation, the blockchain server receives driving behavior data of the same driver information, in order to ensure the fidelity of data stored in the blockchain server, the vehicle-mounted terminal connects the blockchain server at regular time, and compares target data of the blockchain server with local data to obtain a matched value, wherein the matched value is a target result.
210. The vehicle-mounted terminal judges whether the target result is data matching;
after the target result is obtained in step 209, the vehicle-mounted end compares the calibration value with the target result, and when the target result is greater than the calibration value, the data is not matched, otherwise, when the target result is less than the calibration value, the data is matched.
211. If not, the vehicle-mounted end secondarily synchronizes the target data;
when the data are determined to be mismatched through step 211, the vehicle-mounted terminal uploads the target data to the rockmq message queue again, so that the block chain server synchronizes the target data again.
212. And the vehicle-mounted end message informs a process supervision system, so that the process supervision system records the target data by the block chain server through the message notice.
The vehicle-mounted end sends a message notification to the process supervision system every time the vehicle-mounted end performs offline sampling calculation once to obtain a target result, the process supervision system is used for supervising whether the vehicle-mounted end and the block chain server side perform illegal operation on the driving behavior data or not, and the data safety is improved through third-party supervision, so that the fidelity is improved.
Referring to fig. 3, an embodiment of the present application provides a vehicle-mounted terminal, including:
an obtaining unit 301, configured to obtain driver identity information;
an extracting unit 302, configured to extract driving behavior data matched with the driver identity information through the driver identity information;
an encryption unit 303 for encrypting the driving behavior data,
an uploading unit 304, configured to upload the initial data to a message queue through a TCP protocol.
Referring to fig. 4, an embodiment of the present application provides a block chain server, including:
an obtaining unit 401, configured to obtain driver identity information;
an extracting unit 402, configured to extract driving behavior data matched with the driver identity information through the driver identity information;
an encryption unit 403 for encrypting the driving behavior data,
an uploading unit 404, configured to upload the initial data to a message queue through a TCP protocol.
A calculating unit 405, configured to perform offline sampling calculation on the target data to obtain a target result;
a judging unit 406, configured to judge whether the target result is data matching;
a synchronization unit 407, configured to perform secondary synchronization on the target data when the determination result is negative;
a message notification unit 408, configured to notify a process monitoring system with a message, so that the process monitoring system records the target data resynchronized by the blockchain server through the message notification.
Referring to fig. 5, an embodiment of the present application provides a block chain server, including:
a downloading unit 501, configured to download initial data from a message queue;
an analyzing unit 502, configured to analyze the initial data to obtain target data;
a storage unit 503 is configured to store the target data to the block chain.
Referring to fig. 6, an embodiment of the present application provides another blockchain server, including:
a downloading unit 601, configured to download initial data from a message queue;
an analyzing unit 602, configured to analyze the initial data to obtain target data;
a storage unit 603, configured to store the target data into a block chain;
in this embodiment of the present application, the parsing unit 602 includes:
a parsing module 6021 for parsing the initial data;
a labeling module 6022, configured to label a unique identifier for the analyzed initial data to obtain the target data, where the unique identifier is used to correspond to the initial data and the target data.
In the above embodiments, the functions of the units in fig. 3 to fig. 6 correspond to the steps in the embodiments shown in fig. 1 and fig. 2, and are not described again here.
Referring to fig. 7, an embodiment of the present application provides another vehicle-mounted terminal, including:
a processor 701, a memory 702, an input/output unit 703, a bus 704;
the processor 701 is connected to the memory 702, the input/output unit 703 and the bus 604;
the processor 701 specifically executes the following operations:
the vehicle-mounted end acquires the identity information of a driver;
the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
and the vehicle-mounted terminal uploads the initial data to a message queue through a TCP protocol.
In this embodiment, the specific execution of the processor corresponds to the steps in the embodiments shown in fig. 1 and fig. 2, and is not described herein again.
Referring to fig. 8, an embodiment of the present application provides another blockchain server, including:
a processor 801, a memory 802, an input/output unit 803, a bus 804;
the processor 801 is connected to the memory 802, the input/output unit 803 and the bus 804;
the processor 801 specifically executes the following operations:
the block chain server side downloads initial data from the message queue;
the block chain server analyzes the initial data to obtain target data;
and the block chain server stores the target data to a block chain.
In this embodiment, the specific execution of the processor corresponds to the steps in the embodiments shown in fig. 1 and fig. 2, and is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A method for a motor vehicle driving behavior fidelity data chain based on a blockchain, comprising:
the vehicle-mounted end acquires the identity information of a driver;
the vehicle-mounted terminal extracts driving behavior data matched with the driver identity information through the driver identity information;
the vehicle-mounted terminal encrypts the driving behavior data to obtain initial data;
and the vehicle-mounted terminal uploads the initial data to a message queue through a TCP protocol.
2. The method according to claim 1, wherein after the vehicle-mounted terminal uploads the initial data to a message queue via a TCP protocol, the method further comprises:
the block chain server performs offline sampling calculation on the target data to obtain a target result;
the block chain server side judges whether the target result is data matching;
and if not, secondarily synchronizing the target data by the block chain server.
3. The method of claim 2, wherein after the re-synchronizing the target data, the method further comprises:
and the blockchain server notifies a process supervision system by a message, so that the process supervision system records the target data resynchronized by the blockchain server through the message notification.
4. A method for a motor vehicle driving behavior fidelity data chain based on a blockchain, comprising:
the block chain server side downloads initial data from the message queue;
the block chain server analyzes the initial data to obtain target data;
and the block chain server stores the target data to a block chain.
5. The method of claim 4, wherein the parsing the initial data by the blockchain server to obtain target data comprises:
the block chain server analyzes the initial data;
and the block chain server marks a unique identifier for the analyzed initial data to obtain the target data, wherein the unique identifier is used for corresponding to the initial data and the target data.
6. An on-board terminal, comprising:
the acquiring unit is used for acquiring the identity information of the driver;
the extraction unit is used for extracting driving behavior data matched with the driver identity information through the driver identity information;
an encryption unit for encrypting the driving behavior data,
and the uploading unit is used for uploading the initial data to a message queue through a TCP protocol.
7. The vehicle end of claim 6, further comprising:
the calculating unit is used for performing offline sampling calculation on the target data to obtain a target result;
the judging unit is used for judging whether the target result is data matching;
and the synchronization unit is used for secondarily synchronizing the target data when the judgment result is negative.
8. The vehicle end of claim 7, further comprising:
and the message notification unit is used for notifying a process supervision system by a message so that the process supervision system records the target data resynchronized by the blockchain server through the message notification.
9. A blockchain server, comprising:
a downloading unit for downloading initial data from the message queue;
the analysis unit is used for analyzing the initial data to obtain target data;
and the storage unit is used for storing the target data to the block chain.
10. The blockchain server of claim 9, wherein the parsing unit comprises:
the analysis module is used for analyzing the initial data;
and the marking module is used for marking a unique identifier for the analyzed initial data to obtain the target data, wherein the unique identifier is used for corresponding to the initial data and the target data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535779A (en) * | 2021-07-09 | 2021-10-22 | 南京楔形文智慧科技有限公司 | Information processing system of block chain and network communication device applied to system |
| CN114205109A (en) * | 2021-09-30 | 2022-03-18 | 徐敏 | Internet of vehicles information management method and chip |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171430A (en) * | 2017-12-29 | 2018-06-15 | 深圳市轱辘车联数据技术有限公司 | Data processing method, mobile unit and UBI analysis centers server |
| CN110365928A (en) * | 2019-07-16 | 2019-10-22 | 阿里巴巴集团控股有限公司 | A kind of Driving Test videotape storage means, apparatus and system based on block chain |
| CN111125787A (en) * | 2019-12-27 | 2020-05-08 | 上海共链信息科技有限公司 | Gas inspection data cochain system based on block chain and use method thereof |
| CN111680305A (en) * | 2020-07-31 | 2020-09-18 | 支付宝(杭州)信息技术有限公司 | Data processing method, device and equipment based on block chain |
-
2020
- 2020-10-20 CN CN202011125342.8A patent/CN112398907B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171430A (en) * | 2017-12-29 | 2018-06-15 | 深圳市轱辘车联数据技术有限公司 | Data processing method, mobile unit and UBI analysis centers server |
| CN110365928A (en) * | 2019-07-16 | 2019-10-22 | 阿里巴巴集团控股有限公司 | A kind of Driving Test videotape storage means, apparatus and system based on block chain |
| CN111125787A (en) * | 2019-12-27 | 2020-05-08 | 上海共链信息科技有限公司 | Gas inspection data cochain system based on block chain and use method thereof |
| CN111680305A (en) * | 2020-07-31 | 2020-09-18 | 支付宝(杭州)信息技术有限公司 | Data processing method, device and equipment based on block chain |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535779A (en) * | 2021-07-09 | 2021-10-22 | 南京楔形文智慧科技有限公司 | Information processing system of block chain and network communication device applied to system |
| CN114205109A (en) * | 2021-09-30 | 2022-03-18 | 徐敏 | Internet of vehicles information management method and chip |
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| CN112398907B (en) | 2024-01-12 |
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