CN110706371B

CN110706371B - Block chain-based driving safety management method, system and storage medium

Info

Publication number: CN110706371B
Application number: CN201910989759.XA
Authority: CN
Inventors: 王强
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-10-17
Filing date: 2019-10-17
Publication date: 2022-04-05
Anticipated expiration: 2039-10-17
Also published as: CN110706371A

Abstract

The application discloses a driving safety management method, a driving safety management system and a storage medium based on a block chain, and belongs to the technical field of block chains. The driving data is collected by the data collecting node equipment, the driving data is matched by the data processing node equipment, analyzing a group of driving data through a data analysis model to obtain driving state information, performing chain winding processing, when any node device determines that the driving state information satisfies any sub-condition in the target condition, triggering the intelligent contract corresponding to any sub-condition, generating a driving safety processing result by the intelligent contract, synchronizing to other node equipment, in the process, the driving data of the vehicle can be comprehensively acquired through the data acquisition node equipment, the driving data processing result is linked, the driving safety processing result is automatically generated by the intelligent contract on the block chain based on the data on the chain, the bad driving behaviors can be comprehensively and accurately detected, and effective driving safety management is further realized.

Description

Block chain-based driving safety management method, system and storage medium

Technical Field

The present disclosure relates to the field of blockchain technologies, and in particular, to a method, a system, and a storage medium for managing driving safety based on blockchains.

Background

As the number of motor vehicles increases, adverse driving behaviors are gradually increased, and the adverse driving behaviors are easy to cause traffic accidents and traffic violations, so that the driving safety is seriously influenced. At present, when driving safety management is carried out, violation information of a vehicle is usually collected only by a camera installed on a road, driving data of the vehicle cannot be comprehensively obtained, some bad driving behaviors cannot be captured, and effective driving safety management of the vehicle on the road is difficult to carry out, so that how to obtain complete and accurate driving data is an important research direction at present so as to carry out effective driving safety management on the vehicle.

Disclosure of Invention

The embodiment of the application provides a driving safety management method, a driving safety management system and a storage medium based on a block chain, and can solve the problem that vehicle driving state information is easy to be tampered in the related technology. The technical scheme is as follows:

on one hand, a driving safety management method based on a block chain is provided, and the method comprises the following steps:

the method comprises the steps that a data acquisition node device acquires driving data of a target vehicle and sends the driving data to a data processing node device, wherein the driving data carries a vehicle identifier of the target vehicle;

the data processing node equipment matches the driving data based on the vehicle identification to obtain a group of driving data of the target vehicle;

the data processing node equipment inputs the group of driving data into a data analysis model, and obtains the driving state information of the target vehicle based on the analysis result of the data analysis model;

the data processing node equipment carries out uplink processing on the driving state information;

any node device in the block chain system matches the driving state information with any sub-condition in the target condition, when the driving state information meets any sub-condition in the target condition, an intelligent contract corresponding to any sub-condition is triggered, the intelligent contract generates a driving safety processing result based on the driving state information, and the driving safety processing result is synchronized to each node device in the block chain system.

On one hand, the driving safety management system based on the block chain is provided, and comprises data acquisition node equipment, data processing node equipment and a driving management block chain;

the data acquisition node equipment is used for acquiring driving data of a target vehicle and sending the driving data to the data processing node equipment, wherein the driving data carries a vehicle identifier of the target vehicle;

the data processing node equipment is used for matching the driving data based on the vehicle identification to obtain a group of driving data of the target vehicle; inputting the group of driving data into a data analysis model, and obtaining driving state information of the target vehicle based on an analysis result of the accident analysis model; carrying out uplink processing on the driving state information;

and any node device in the block chain system is used for matching the driving state information with any sub-condition in the target condition, when the driving state information meets any sub-condition in the target condition, triggering an intelligent contract corresponding to any sub-condition, generating a driving safety processing result based on the driving state information by the intelligent contract, and synchronizing the driving safety processing result to each node device in the block chain system.

In one possible implementation, the data processing node device is configured to:

grouping a plurality of pieces of the driving data received in a target period based on the vehicle identification, and grouping the driving data containing the same vehicle identification into one group; a set of driving data is obtained that includes a vehicle identification of the target vehicle.

acquiring any video data in the group of driving data; inputting any video data into the data analysis model, and identifying a target vehicle in any video data by a target tracking model in the data analysis model to obtain a motion track and a motion speed of the target vehicle; and generating running state information of the target vehicle based on the motion trail and the motion speed of the target vehicle.

In one possible implementation, the system further comprises an insurance node device;

the insurance node equipment is used for acquiring insurance data of the target vehicle from the block chain of the block chain system based on the vehicle identification of the target vehicle; adjusting insurance data of the target vehicle based on the driving safety processing result; and storing the adjusted insurance data to the block chain of the block chain system.

In one possible implementation, the data collection node device is configured to:

receiving communication data sent by the target vehicle; acquiring weather information, road information and driving rules of the current position based on the current position information; and taking the communication data, the weather information, the road information and the driving rule as the driving data of the target vehicle.

In one possible implementation, the driving data carries a device identification of the data collection node device.

In one possible implementation, the driving state information includes at least one driving state data, and one driving state data corresponds to one data category.

In one possible implementation, a sub-condition of the target condition includes data restriction information corresponding to the data category.

In one aspect, a computer-readable storage medium is provided, in which at least one program code is stored, and the at least one program code is loaded and executed by a processor to implement the operations performed by the block chain based driving safety management method.

The technical proposal provided by the embodiment of the application acquires the driving data through the data acquisition node equipment, matches the driving data through the data processing node equipment, analyzing a group of driving data through a data analysis model to obtain driving state information, performing chain winding processing, when any node device determines that the driving state information satisfies any sub-condition in the target condition, triggering the intelligent contract corresponding to any sub-condition, generating a driving safety processing result by the intelligent contract, synchronizing to other node equipment, in the process, the driving data of the vehicle can be comprehensively acquired through the data acquisition node equipment, the driving data processing result is linked, the driving safety processing result is automatically generated by the intelligent contract on the block chain based on the data on the chain, the bad driving behaviors can be comprehensively and accurately detected, and effective driving safety management is further realized.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic diagram of an implementation environment of a block chain-based traffic safety management method according to an embodiment of the present application;

fig. 2 is a flowchart of a block chain-based traffic safety management method according to an embodiment of the present application;

fig. 3 is a block chain structure according to an embodiment of the present application;

fig. 4 is a schematic diagram of a process for generating a driving safety processing result according to an embodiment of the present application;

fig. 5 is a schematic diagram of a driving safety management process provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of a block chain-based driving safety management device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic diagram of an implementation environment of a block chain-based driving safety management method according to an embodiment of the present application, and referring to fig. 1, the implementation environment may include multiple computer devices, where the multiple computer devices may be multiple node devices in a block chain system, and any one node device in the block chain system may perform one or more steps of the block chain-based driving safety management method according to the embodiment of the present application. The plurality of computer devices may be a plurality of node devices belonging to the same organization, or may be a plurality of node devices belonging to different organizations. For example, the plurality of computer devices may all belong to a data processing center for processing driving data, or at least one of the plurality of computer devices belongs to the data processing center, at least one of the computer devices belongs to a traffic management organization, at least one of the computer devices belongs to a insurance organization, and of course, there may be at least one of the computer devices belonging to other organizations, such as a vehicle damage assessment organization, a vehicle sales organization, and the like.

The plurality of computer devices may be servers or terminals, which is not specifically limited in this embodiment of the present application.

In order to facilitate understanding of the technical processes of the embodiments of the present application, some terms referred to in the embodiments of the present application are explained below:

block chain (Block chain): the method is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. The blockchain is essentially a decentralized database, which is a string of data blocks associated by cryptography, each data block containing information about a network transaction for verifying the validity (anti-counterfeiting) of the information and generating the next block, each block containing a timestamp and a link to the previous block. In a narrow sense, a blockchain is a distributed ledger of data blocks assembled in a sequential manner into a chain data structure in chronological order and cryptographically secured as non-falsifiable and non-forgeable, i.e. the data in the blockchain will be irreversible once recorded.

Consensus mechanism (Consensus mechanism): the block chain system is a mathematical algorithm for establishing trust and obtaining rights and interests among different nodes. In the block chain system, the verification and confirmation of the transaction can be completed in a short time through the voting of special nodes, and if a plurality of nodes with irrelevant benefits can achieve consensus on a transaction, all the nodes in the system can also achieve consensus on the transaction.

Smart contract (Smart contract): is a computer protocol intended to propagate, validate or execute contracts in an informational manner. Each node in the blockchain system can automatically execute a contract program according to a specific condition, can operate data stored in the chain, and is an important way for a user to interact with the blockchain and realize business logic by using the blockchain. The goal of smart contracts is to provide a secure method over traditional contracts and to reduce other transaction costs associated with the contracts, which allows for trusted transactions that are traceable and irreversible without third parties.

And (3) intelligent driving: the intelligent driving system mainly comprises three links of network navigation, autonomous driving and manual intervention, a plurality of sensors are required to be installed on a vehicle applying the intelligent driving technology, the sensors can obtain relevant visual and auditory information and the like, and a corresponding follow-up system is controlled through cognitive calculation. The network navigation in the intelligent driving technology can solve the problems of where, and where to go, which lane in which road to go, and the like; the autonomous driving is to complete driving behaviors such as lane keeping, overtaking and merging, red light stopping and green light driving, light and whistle interaction and the like under the control of an intelligent system; the manual intervention means that a driver makes corresponding reaction to the actual road condition under a series of prompts of an intelligent system.

Fig. 2 is a flowchart of a driving safety management method based on a blockchain according to an embodiment of the present disclosure, where the driving safety management method may be applied to each node device in the blockchain system, and referring to fig. 2, the embodiment may specifically include the following steps:

201. and the user node equipment stores the basic data of the target vehicle to the driving management block chain.

In a possible implementation manner, the driving management block chain may be a alliance chain, and only authorized node devices may read data in the alliance chain, so that information of vehicle owners and vehicles may be effectively protected.

In this embodiment, the user node device may be a client device used by a user, or may be a server corresponding to the client device. In this embodiment, it is described that the user node device is taken as an example of a server corresponding to the client device, an application program for vehicle information registration may be installed and run on the client device, a user account may be logged in the application program, and a user may associate information of a target vehicle with identity information of the user through the application program. Specifically, a vehicle information registration page may be displayed on the client device, where the registration page may include a vehicle information filling area and a confirmation control, and after the client device detects a trigger operation of a user on the confirmation control, vehicle basic data input by the user in the vehicle information filling area may be acquired, where the vehicle basic data may include a license plate number, a vehicle model number, and the like, and the client device may send the acquired vehicle basic data to a server, that is, the user node device, and the user node device performs a step of storing the vehicle basic data in a block chain. In a possible implementation manner, after receiving the basic data of the target vehicle, the user node device may assign a vehicle identifier to the target vehicle, where one vehicle identifier may be used to uniquely indicate one vehicle, and of course, a license plate number of the target vehicle may also be used as the vehicle identifier of the target vehicle, which is not specifically limited in this embodiment of the present application. The client device may further obtain account information of a currently logged-in user, such as an identity identifier, and add the identity identifier of the user to the vehicle basic data, so as to associate the target vehicle information with the user identity information.

In one possible implementation, the user node device may store basic data of the target vehicle on the train management block chain based on a consensus mechanism. Specifically, each node in the blockchain system has a node identifier corresponding thereto, and each node device in the blockchain system may store node identifiers of other node devices in the blockchain system, so that the generated block is broadcast to the other node devices in the blockchain system according to the node identifiers of the other node devices, and the block is commonly identified by the other node devices. Each node device may maintain a node identifier list as shown in the following table, and store the node name and the node identifier in the node identifier list correspondingly. The node identifier may be an IP (Internet Protocol) address and any other information that can be used to identify the node, and table 1 only illustrates the IP address as an example.

TABLE 1

Node name	Node identification
		Node 1	117.114.151.174
Node 2	117.116.189.145
		…	…
Node N	119.123.789.258

Each node device in the blockchain system may store one identical blockchain. A block chain is composed of a plurality of blocks, fig. 3 is a schematic diagram of a block chain structure provided in the embodiment of the present application, referring to fig. 3, the block chain is composed of a plurality of blocks, a starting block 301 includes a block header and a block main body, the block header stores an input information characteristic value, a version number, a timestamp and a difficulty value, and the block main body stores input information; the next block 302 of the starting block takes the starting block 301 as a parent block, the next block 302 also comprises a block head and a block main body, and the block head stores the input information characteristic value of the current block 303, the block head characteristic value, the version number, the timestamp and the difficulty value of the parent block, and so on, so that the block data stored in each block in the block chain is associated with the block data stored in the parent block, and the security of the input information in the block is ensured.

When each block in the block chain is generated, when the node device where the block chain is located receives input information, the input information is verified, in the embodiment of the application, the input information can be basic data of a target vehicle, including a license plate number, a vehicle model, a purchase record, owner information and the like, after the node device verifies the input information, the input information is stored in a memory pool, a hash tree used for recording the input information is updated, then an update timestamp is updated to the time of receiving the input information, different random numbers are tried, and characteristic value calculation is performed for multiple times, so that the calculated characteristic value can meet the following formula:

SHA256(SHA256(version+prev_merkle_rool+ntime+nbits+x))<TARGET

wherein, SHA256 is a characteristic value algorithm used for calculating a characteristic value; version is version information of the relevant block protocol in the block chain; prev _ hash is a block head characteristic value of a parent block of the current block; merkle _ root is a characteristic value of the input information; ntime is the update time of the update timestamp; nbits is the current difficulty, is a fixed value within a period of time, and is determined again after exceeding a fixed time period; x is a random number; TARGET is a feature threshold, which can be determined from nbits.

Therefore, when the random number meeting the formula is obtained through calculation, the information can be correspondingly stored, and the block head and the block main body are generated to obtain the current block. Then, the node where the block chain is located sends the newly generated current block to other nodes in the block chain system where the block chain is located according to the node identifiers of the other nodes in the block chain system, the other nodes perform consensus on the newly generated current block, the current block can be added to the block chain after passing the consensus, and certainly, if the current block does not pass the consensus, the block uplink operation may not be performed.

It should be noted that the above description of storing the basic data of the target vehicle into the driving management block chain is only an exemplary description of one storage method, and the embodiment of the present application does not limit which storage method is specifically adopted.

202. The data acquisition node equipment acquires driving data of a target vehicle and sends the driving data to the data processing node equipment, and the driving data carries a vehicle identifier of the target vehicle.

In this embodiment, the data collection node device may be used to collect driving data and road condition information of a vehicle, and the data collection node device may be a sensor mounted on the target vehicle, or may also be a data collection device on a road, for example, a monitoring device such as a camera or other information collection devices mounted on any mechanism. The data processing node device may be a server corresponding to a data processing center for processing driving data. The driving data may include position information, driving direction, driving speed, information sent between vehicles, and the like of the target vehicle, and of course, the driving data may also obtain other auxiliary information, such as weather information, road conditions, driving regulations of the position where the target vehicle is located, and the like, which is not specifically limited in this embodiment of the application.

In one possible implementation manner, the target vehicle may be a vehicle equipped with an intelligent driving system, the target vehicle may be equipped with a plurality of sensors, that is, a plurality of data collection node devices, and after detecting that the target vehicle is started, the data collection node devices may monitor the driving state of the target vehicle in real time, for example, the driving speed, direction vector, position information (latitude, longitude, altitude, and the like), lane change information, and the like of the target vehicle, and the data collection node devices may collect the information in real time as driving data of the target vehicle and send the driving data to the data processing node devices. Of course, the target vehicle may also send information to other vehicles based on the intelligent driving system, and the data collection node device may collect information sent or received by the target vehicle, and send the information to the data processing node device as driving data of the target vehicle.

When the data collection node device is a data collection device on a road, the data collection node device can receive communication data sent by the target vehicle, can also obtain weather information, road information and driving rules of the current position based on the current position information, takes the communication data, the weather information, the road information and the driving rules as driving data of the target vehicle, and sends the driving data to the data processing node device.

In the embodiment of the application, the driving data can carry the device identifier of the data acquisition node device, one device identifier can be used for uniquely indicating one data acquisition node device, data tracing can be realized based on the device identifier, and the running state of the device can be conveniently monitored.

203. And the data processing node equipment matches the driving data based on the vehicle identification to obtain a group of driving data of the target vehicle.

In one possible implementation manner, the data processing node device may receive driving data sent by the data acquisition node device, obtain a vehicle identifier in the driving data, group a plurality of pieces of driving data received in a target period based on the vehicle identifier, group driving data including the same vehicle identifier into one group, and obtain one group of driving data including the vehicle identifier of the target vehicle. The target period may be set by a developer, and this is not specifically limited in this embodiment of the application.

In a possible implementation manner, after the data acquisition node device acquires the driving data, the driving data may be sent to the data processing node device in real time, or the acquired driving data may be stored, and after the driving data acquired within a period of time is collected, the driving data is sent to the data processing node device again.

204. The data processing node equipment inputs the group of driving data into a data analysis model, and obtains the driving state information of the target vehicle based on the analysis result of the data analysis model.

In the embodiment of the present application, the driving state information includes at least one driving state data, one driving state data corresponds to one data category, for example, the driving state data may be "109 km/h", the data category corresponding to the driving state data is "vehicle speed", and of course, the driving state data may further include position information of the vehicle, for example, the driving state data may include "109 km/h, and the driving interval is a to B".

In this embodiment of the application, the driving data may include images, videos, and the like, and accordingly, the data analysis model may include an image recognition model and a target tracking model for video analysis, and taking the data analysis model as an example to process video data in the driving data, in one possible implementation, the data processing node device may obtain any video data in the set of driving data, input the any video data into the data analysis model, recognize a target vehicle in the any video data by the target tracking model in the data analysis model to obtain a motion trajectory and a motion speed of the target vehicle, and the data processing node device may generate driving state information of the target vehicle based on the motion trajectory and the motion speed of the target vehicle. The target tracking model may be constructed based on a related filtering algorithm, the target tracking model may predict the size and the position of the target vehicle in a subsequent frame based on the size and the position of the target vehicle in an initial frame of a video, mark the position change of the target vehicle to obtain the motion track of the target vehicle, and may further select a plurality of key road segments in the motion track to mark the vehicle motion speed in each key road segment, for example, the key road segment may be a turning road segment, a crossroad, etc., and the key road segment may be set by a developer. It should be noted that the above description of performing video identification on the application target tracking model is only an exemplary description of a video identification method, and the embodiment of the present application does not limit which video identification method is specifically adopted.

205. And the data processing node equipment carries out uplink processing on the driving state information.

In this embodiment, the data processing node may store the driving state information in the driving management block chain, and the information storage process is the same as the process of storing the basic data of the target vehicle in the block chain in step 201, which is not described herein again.

206. Any node device in the block chain system matches the driving state information with any sub-condition in the target condition, when the driving state information meets any sub-condition in the target condition, an intelligent contract corresponding to any sub-condition is triggered, and the intelligent contract generates a driving safety processing result based on the driving state information.

The target condition may include a plurality of sub-conditions, and one sub-condition may include a data category and data limit information corresponding to the data category, for example, the data category may include "vehicle speed" and "red light running number", and the corresponding data limit information is "greater than 120 km/h" and "greater than 0", respectively.

In a possible implementation manner, different vehicles may correspond to different intelligent contracts, and specifically, after a user completes vehicle information registration, that is, after basic data of a target vehicle is stored in a driving management block chain, the basic data may be synchronized to a node device corresponding to a delivery management entity, and the node device corresponding to the delivery management entity may generate an intelligent contract of the target vehicle based on information such as a model of the target vehicle in the basic data, for example, the intelligent contracts corresponding to a small car and a large truck may be different, and when driving data of the target vehicle meets a triggering condition of the intelligent contract, that is, the target condition, the intelligent contract may be triggered. Certainly, after the intelligent contract is generated, the intelligent contract may also be sent to the client device used by the user, and after the node device corresponding to the delivery management mechanism receives a confirmation instruction of the user on the intelligent contract, the intelligent contract is stored on the block chain.

In the embodiment of the present application, the target condition may include a plurality of sub-conditions, one sub-condition may correspond to one intelligent contract, and when any data in the driving data of the target vehicle satisfies a certain sub-condition, the intelligent contract corresponding to the sub-condition may be triggered. In a possible implementation manner, after the uplink storage of the driving state information is completed, any node device in the block chain system may compare each data in the driving state information with the data restriction information in each sub-condition to detect whether there is an undesirable driving behavior in the current trip, and when any data in the driving state information satisfies any sub-condition, that is, there is an undesirable driving behavior in the current trip, an intelligent contract corresponding to any sub-condition may be triggered to obtain the undesirable driving information in the driving state information, and a driving safety processing result is generated, where the driving state information includes, for example, a "vehicle speed: 120 km/h ", the second target condition includes" vehicle speed: and more than 90 km/h ", the driving safety processing result can be '50% overspeed'.

207. And other node equipment in the block chain system synchronizes the driving safety processing result.

The block chain system may further include node devices corresponding to a traffic management mechanism, a safety mechanism, and the like. Fig. 4 is a schematic diagram of a process of generating a driving safety processing result according to an embodiment of the present application, and referring to fig. 4, a data processing center may receive driving data of a target vehicle, perform driving data matching and data analysis, generate driving state information, store the driving state information in a driving management block chain, when the driving state information satisfies a trigger condition of an intelligent contract, trigger the intelligent contract, generate a driving safety processing result, and synchronize the driving safety processing result to multiple data receiving ends of a traffic management mechanism, a insurance mechanism, and the like.

In a possible implementation manner, after obtaining the driving safety processing result, the insurance node device may adjust the insurance data of the target vehicle based on the driving safety processing result, specifically, the insurance node device may obtain the insurance data of the target vehicle from the block chain of the block chain system based on the vehicle identifier of the target vehicle, adjust the insurance data of the target vehicle based on the driving safety processing result, and store the adjusted insurance data to the block chain of the block chain system. The insurance data may include information such as a vehicle identifier of the target vehicle, an identity of a user to which the target vehicle belongs, and insurance content.

In a possible implementation manner, after the traffic management node device obtains the driving safety processing result, the traffic management node device may perform violation punishment on the target vehicle based on the driving safety processing result, specifically, the traffic management node device may obtain a traffic rule corresponding to a driving road section of the target vehicle from a block chain, compare the traffic rule with the driving safety processing result, perform violation punishment on the target vehicle based on a comparison result, and store violation punishment information to the block chain. In this embodiment, the traffic management mechanism may further adjust the driving level of the user based on the driving safety processing result, in a possible implementation manner, a sensor mounted in the target vehicle may acquire an identity of the driver, for example, a facial image of the user may be acquired, the facial image may be sent to a user node device, the user node device may determine the identity of the driver through a face recognition technology, and of course, the identity of the user may also be determined through a fingerprint recognition technology and the like, which is not specifically limited in this embodiment of the present application, the traffic management node device may acquire the driving level of the driver from a block chain based on the identity of the driver, and then calculate the driving level adjustment value based on the number of the bad driving events included in the driving safety processing result, for example, when the bad driving event is detected, the driving level may be lowered and when an adverse driving event is not detected, the driving level may be raised.

Referring to fig. 5, fig. 5 is a schematic diagram of a driving safety management process provided in an embodiment of the present application, a user may store vehicle information of a target vehicle on a block chain through an application program of a client, during a driving process of the vehicle, the vehicle may send driving data to a data processing center in real time, the data processing center performs driving data matching and driving data analysis, and stores an analysis result in the block chain, when any data in the analysis result meets a trigger condition of an intelligent contract, the intelligent contract may be triggered, the block chain system executes the intelligent contract, and synchronizes an execution result, that is, a driving safety processing result, to node devices corresponding to a traffic management mechanism, an insurance mechanism, and the like, and the node devices corresponding to each mechanism may perform service processing based on the driving safety processing result. In the process, by means of a block chain intelligent contract technology, an intelligent contract is automatically executed when the behavior of a driver reaches a trigger condition by compiling the intelligent contract, so that the characteristics of data and the characteristic that the data cannot be falsified can be synchronized in real time by means of a block chain, and the driving data of the vehicle is prevented from being artificially modified.

All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

Fig. 6 is a schematic structural diagram of a block chain-based driving safety management device according to an embodiment of the present application, and referring to fig. 6, the device includes:

the driving data acquisition module 601 is configured to acquire driving data of a target vehicle, and send the driving data to the data processing node device, where the driving data carries a vehicle identifier of the target vehicle;

a data matching module 602, configured to match the driving data based on the vehicle identifier to obtain a set of driving data of the target vehicle;

a driving state information obtaining module 603, configured to input the set of driving data into a data analysis model, and obtain driving state information of the target vehicle based on an analysis result of the data analysis model;

a storage module 604, configured to perform uplink processing on the driving state information;

and the condition matching module 605 is configured to match the driving state information with any sub-condition in the target condition, and when the driving state information satisfies any sub-condition in the target condition, trigger an intelligent contract corresponding to any sub-condition, where the intelligent contract generates a driving safety processing result based on the driving state information, and synchronizes the driving safety processing result to each node device of the block chain system.

In one possible implementation, the data matching module 602 is configured to:

grouping a plurality of pieces of the driving data received in a target period based on the vehicle identification, and grouping the driving data containing the same vehicle identification into one group;

a set of driving data is obtained that includes a vehicle identification of the target vehicle.

In one possible implementation, the apparatus further includes:

the insurance data acquisition module is used for acquiring insurance data of the target vehicle from the block chain of the block chain system based on the vehicle identification of the target vehicle;

the insurance data adjusting module is used for adjusting the insurance data of the target vehicle based on the driving safety processing result;

and the insurance data storage module is used for storing the adjusted insurance data to the block chain of the block chain system.

In one possible implementation, the driving data acquisition module 601 is configured to:

receiving communication data sent by the target vehicle;

acquiring weather information, road information and driving rules of the current position based on the current position information;

and taking the communication data, the weather information, the road information and the driving rule as the driving data of the target vehicle.

In a possible implementation manner, the driving state information obtaining module 603 is configured to:

the data processing node equipment acquires any video data in the group of driving data;

the data processing node equipment inputs any video data into the data analysis model, and a target tracking model in the data analysis model identifies a target vehicle in any video data to obtain the motion track and the motion speed of the target vehicle;

the data processing node equipment generates running state information of the target vehicle based on the motion trail and the motion speed of the target vehicle.

The device provided by the embodiment of the application acquires the driving data through the data acquisition node equipment, the data processing node equipment matches the driving data, analyzing a group of driving data through a data analysis model to obtain driving state information, performing chain winding processing, when any node device determines that the driving state information satisfies any sub-condition in the target condition, triggering the intelligent contract corresponding to any sub-condition, generating a driving safety processing result by the intelligent contract, synchronizing the driving safety processing result to other node equipment, applying the device, the driving data of the vehicle can be comprehensively acquired through the data acquisition node equipment, the driving data processing result is linked, the driving safety processing result is automatically generated by the intelligent contract on the block chain based on the data on the chain, the bad driving behaviors can be comprehensively and accurately detected, and effective driving safety management is further realized.

It should be noted that: in the driving safety management device based on the block chain according to the embodiment, only the division of the functional modules is illustrated in the driving safety management, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the driving safety management device based on the block chain provided in the above embodiment and the driving safety management method based on the block chain belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

The computer device provided by the above technical solution can be implemented as a terminal or a server, for example, fig. 7 is a schematic structural diagram of a terminal provided in the embodiment of the present application. The terminal 700 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 700 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and so on.

In general, terminal 700 includes: one or more processors 701 and one or more memories 702.

The processor 701 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 701 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 701 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 701 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 701 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 702 may include one or more computer-readable storage media, which may be non-transitory. Memory 702 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 702 is configured to store at least one instruction for execution by the processor 701 to implement the blockchain based driving safety management method provided by the method embodiments of the present application.

In some embodiments, the terminal 700 may further optionally include: a peripheral interface 703 and at least one peripheral. The processor 701, the memory 702, and the peripheral interface 703 may be connected by buses or signal lines. Various peripheral devices may be connected to peripheral interface 703 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 704, a display screen 705, a camera assembly 706, an audio circuit 707, a positioning component 708, and a power source 709.

The peripheral interface 703 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 701 and the memory 702. In some embodiments, processor 701, memory 702, and peripheral interface 703 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 701, the memory 702, and the peripheral interface 703 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 704 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 704 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 704 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 704 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 704 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 704 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display screen 705 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 705 is a touch display screen, the display screen 705 also has the ability to capture touch signals on or over the surface of the display screen 705. The touch signal may be input to the processor 701 as a control signal for processing. At this point, the display 705 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 705 may be one, providing the front panel of the terminal 700; in other embodiments, the display 705 can be at least two, respectively disposed on different surfaces of the terminal 700 or in a folded design; in some embodiments, the display 705 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 700. Even more, the display 705 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The Display 705 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or the like.

The camera assembly 706 is used to capture images or video. Optionally, camera assembly 706 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 706 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuitry 707 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 701 for processing or inputting the electric signals to the radio frequency circuit 704 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 700. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 701 or the radio frequency circuit 704 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 707 may also include a headphone jack.

The positioning component 708 is used to locate the current geographic Location of the terminal 700 for navigation or LBS (Location Based Service).

Power supply 709 is provided to supply power to various components of terminal 700. The power source 709 may be alternating current, direct current, disposable batteries, or rechargeable batteries. When power source 709 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 700 also includes one or more sensors 710. The one or more sensors 710 include, but are not limited to: acceleration sensor 711, gyro sensor 712, pressure sensor 713, fingerprint sensor 714, optical sensor 715, and proximity sensor 716.

The acceleration sensor 711 can detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the terminal 700. For example, the acceleration sensor 711 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 701 may control the display screen 705 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 711. The acceleration sensor 711 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 712 may detect a body direction and a rotation angle of the terminal 700, and the gyro sensor 712 may cooperate with the acceleration sensor 711 to acquire a 3D motion of the terminal 700 by the user. From the data collected by the gyro sensor 712, the processor 701 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 713 may be disposed on a side frame of terminal 700 and/or underneath display 705. When the pressure sensor 713 is disposed on a side frame of the terminal 700, a user's grip signal on the terminal 700 may be detected, and the processor 701 performs right-left hand recognition or shortcut operation according to the grip signal collected by the pressure sensor 713. When the pressure sensor 713 is disposed at a lower layer of the display screen 705, the processor 701 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 705. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The optical sensor 715 is used to collect the ambient light intensity. In one embodiment, the processor 701 may control the display brightness of the display screen 705 based on the ambient light intensity collected by the optical sensor 715. Specifically, when the ambient light intensity is high, the display brightness of the display screen 705 is increased; when the ambient light intensity is low, the display brightness of the display screen 705 is adjusted down. In another embodiment, processor 701 may also dynamically adjust the shooting parameters of camera assembly 706 based on the ambient light intensity collected by optical sensor 715.

A proximity sensor 716, also referred to as a distance sensor, is typically disposed on a front panel of the terminal 700. The proximity sensor 716 is used to collect the distance between the user and the front surface of the terminal 700. In one embodiment, when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal 700 gradually decreases, the processor 701 controls the display 705 to switch from the bright screen state to the dark screen state; when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal 700 is gradually increased, the processor 701 controls the display 705 to switch from the breath-screen state to the bright-screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 7 is not intended to be limiting of terminal 700 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

Fig. 8 is a schematic structural diagram of a server according to an embodiment of the present application, where the server 800 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 801 and one or more memories 802, where at least one program code is stored in the one or more memories 802, and is loaded and executed by the one or more processors 801 to implement the methods provided by the foregoing method embodiments. Of course, the server 800 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input and output, and the server 800 may also include other components for implementing the functions of the device, which are not described herein again.

In an exemplary embodiment, a computer-readable storage medium, such as a memory, including instructions executable by a processor to perform the block chain based driving safety management method in the above embodiments is also provided. For example, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A driving safety management method based on a block chain is characterized by comprising the following steps:

the user node equipment stores the basic data of the target vehicle on the driving management block chain;

the traffic management node equipment generates an intelligent contract of the target vehicle based on the basic data, and stores the intelligent contract on the driving management block chain;

any node equipment in the block chain system matches the driving state information with any sub-condition in the target condition, when the driving state information meets any sub-condition in the target condition, triggering an intelligent contract corresponding to any sub-condition, generating a driving safety processing result based on the driving state information by the intelligent contract corresponding to any sub-condition, synchronizing the driving safety processing result to each node device of the block chain system, after the traffic management node equipment obtains the driving safety processing result, violation punishment is carried out on the target vehicle and the driving grade of a user is adjusted on the basis of the driving safety processing result, and after the insurance node equipment obtains the driving safety processing result, insurance data of the target vehicle is adjusted on the basis of the driving safety processing result.

2. The method of claim 1, wherein the data processing node device matches the driving data based on the vehicle identification, and wherein obtaining a set of driving data for the target vehicle comprises:

the data processing node equipment groups a plurality of pieces of driving data received in a target period based on the vehicle identification, and divides the driving data containing the same vehicle identification into a group;

the data processing node device obtains a set of driving data containing a vehicle identification of the target vehicle.

3. The method of claim 1, wherein the data processing node device inputs the set of driving data into a data analysis model, and obtaining driving state information of the target vehicle based on an analysis result of the data analysis model comprises:

the data processing node equipment inputs any video data into the data analysis model, and a target tracking model in the data analysis model identifies a target vehicle in any video data to obtain a motion track and a motion speed of the target vehicle;

and the data processing node equipment generates running state information of the target vehicle based on the motion trail and the motion speed of the target vehicle.

4. The method of claim 1, wherein after synchronizing the driving safety processing results to the respective node devices of the blockchain system, the method further comprises:

the insurance node equipment acquires insurance data of the target vehicle from a block chain of the block chain system based on the vehicle identification of the target vehicle;

the insurance node equipment adjusts insurance data of the target vehicle based on the driving safety processing result;

and the insurance node equipment stores the adjusted insurance data to the block chain of the block chain system.

5. The method of claim 1, wherein the data collection node device obtaining driving data of a target vehicle comprises:

the data acquisition node equipment receives communication data sent by the target vehicle;

the data acquisition node equipment acquires weather information, road information and driving rules of the current position based on the current position information;

and the data acquisition node equipment takes the communication data, the weather information, the road information and the driving rule as the driving data of the target vehicle.

6. The method of claim 5, wherein the driving data carries a device identification of the data collection node device.

7. The method of claim 1, wherein the driving state information comprises at least one driving state data, one driving state data corresponding to one data category.

8. The method of claim 7, wherein a sub-condition of the target condition comprises data restriction information corresponding to the data category.

9. A driving safety management system based on a block chain is characterized by comprising user node equipment, traffic management node equipment, insurance node equipment, at least one data acquisition node equipment, at least one data processing node equipment and a driving management block chain;

the user node equipment is used for storing basic data of a target vehicle on the driving management block chain;

the traffic management node equipment is used for generating an intelligent contract of the target vehicle based on the basic data and storing the intelligent contract on the driving management block chain;

the data processing node equipment is used for matching the driving data based on the vehicle identification to obtain a group of driving data of the target vehicle; inputting the group of driving data into a data analysis model, and obtaining driving state information of the target vehicle based on an analysis result of the data analysis model; performing uplink processing on the driving state information;

any node device in the block chain system is used for matching the driving state information with any sub-condition in the target condition, when the driving state information meets any sub-condition in the target condition, triggering an intelligent contract corresponding to any sub-condition, generating a driving safety processing result based on the driving state information by the intelligent contract, synchronizing the driving safety processing result to each node device of the block chain system, wherein the traffic management node equipment is further used for performing violation punishment on the target vehicle and adjusting the driving grade of the user based on the driving safety processing result after the driving safety processing result is obtained, and the insurance node equipment, and the safety data processing unit is used for adjusting the insurance data of the target vehicle based on the driving safety processing result after the driving safety processing result is obtained.

10. The system of claim 9, wherein the data processing node device is configured to:

grouping a plurality of pieces of the driving data received in a target period based on the vehicle identifications, and grouping the driving data containing the same vehicle identification into one group; a set of driving data is obtained that includes a vehicle identification of the target vehicle.

11. The system of claim 9, wherein the data processing node device is configured to:

acquiring any video data in the set of driving data; inputting any video data into the data analysis model, and identifying a target vehicle in any video data by a target tracking model in the data analysis model to obtain a motion track and a motion speed of the target vehicle; and generating running state information of the target vehicle based on the motion trail and the motion speed of the target vehicle.

12. The system of claim 9, wherein the insurance node device is configured to:

acquiring insurance data of the target vehicle from a block chain of the block chain system based on the vehicle identification of the target vehicle; adjusting insurance data of the target vehicle based on the driving safety processing result; and storing the adjusted insurance data to the block chain of the block chain system.

13. The system of claim 9, wherein the data collection node device is configured to:

14. The system of claim 9, wherein the driving data carries a device identification of the data collection node device.

15. The system of claim 9, wherein the driving state information comprises at least one driving state data, one driving state data corresponding to one data category.

16. The system of claim 15, wherein a sub-condition of the target condition comprises data restriction information corresponding to a data category.

17. A computer-readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to perform the operations performed by the block chain based driving safety management method according to any one of claims 1 to 8.