CN110838047A

CN110838047A - Online taxi appointment driver credit management method and device, server and storage medium

Info

Publication number: CN110838047A
Application number: CN201911082093.6A
Authority: CN
Inventors: 肖春乐
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-11-07
Filing date: 2019-11-07
Publication date: 2020-02-25
Anticipated expiration: 2039-11-07
Also published as: CN110838047B

Abstract

The embodiment of the application discloses a method and a device for managing credit of a car booking driver on a network, a server and a storage medium, wherein the method comprises the following steps: according to the target driver account, feedback information of a completed riding service order submitted by at least one passenger account within a first preset time is acquired in a block chain network, and rating information of the target driver account is determined according to the feedback information; sending the rating information of the target driver account to a consensus node in a block chain network so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message under the condition that the consensus verification is passed; and under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account. The authenticity of the passenger feedback information and the fair validity of the driver's credit information can be ensured.

Description

Online taxi appointment driver credit management method and device, server and storage medium

Technical Field

The application relates to the technical field of communication, in particular to a method and a device for managing credit of a car booking driver on a network, a server and a storage medium.

Background

With the rapid development of the internet, people enjoy the convenience of the internet, and meanwhile, the information security problem in the internet is more and more emphasized. Various online booking platforms appear like spring bamboo shoots, but for the current online booking platforms, supervision of relevant information of a single driver is lacked, particularly for the feedback information of passengers and credit information of the single driver, so that the feedback information of the passengers is lost or tampered, and even the credit score in the credit information of the single driver is unfair.

In view of the above problems, no effective solution has been proposed.

Content of application

The embodiment of the application provides a method and a device for managing the credit of a taxi booking driver, a server and a storage medium, so as to ensure the authenticity of the feedback information of passengers and the fair effectiveness of the credit information of the taxi booking driver.

In a first aspect, a method for managing credit of a car booking driver is provided for an embodiment of the present application, including:

according to a target driver account, obtaining feedback information of a completed riding service order submitted by at least one passenger account within a first preset time in a block chain network, and determining the rating information of the target driver account according to the feedback information;

sending the rating information of the target driver account to a consensus node in a block chain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message under the condition that the consensus verification is passed;

and under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

In a second aspect, a device for managing credit of a car booking driver is provided for an embodiment of the present application, including:

the system comprises a rating unit, a block chain network and a processing unit, wherein the rating unit is used for acquiring feedback information of completed riding service orders submitted by a plurality of passenger accounts within a first preset time in the block chain network according to a target driver account, and determining the rating information of the target driver account according to the feedback information;

the first consensus unit is used for sending the rating information of the target driver account to a consensus node in a block chain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message under the condition that the consensus verification is passed;

and the order pushing unit is used for confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

Optionally, the apparatus further comprises:

the first receiving unit is used for receiving first feedback information of a completed riding service order aiming at the target driver account, which is sent by a first passenger account, and the first feedback information carries a first passenger account signature;

the verification unit is used for acquiring a first passenger account public key in a block chain network according to the first passenger account, and verifying and signing the first passenger account signature according to the first passenger account public key to obtain a first check code;

the verification unit is used for converting the first feedback information into a second verification code by adopting a Hash algorithm, matching the first verification code with the second verification code, and if the first verification code is consistent with the second verification code, determining that the first feedback information is real information;

the second consensus unit is used for sending the first feedback information and the first passenger account signature to a consensus node in the block chain network, so that the consensus node performs consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification is passed;

an uplink unit, configured to add a block including the first feedback information to the blockchain network when it is determined that a ratio of the number of the received common acknowledgement messages to the number of the common acknowledgement nodes reaches a preset common acknowledgement ratio.

Optionally, the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message when the consensus verification passes, where the consensus verification includes:

and the consensus node calculates to obtain the rating verification information of the target driver account according to the feedback information, matches the rating verification information of the target driver account with the rating information of the target driver account, and returns consensus confirmation information if the rating verification information of the target driver account is consistent with the rating information of the target driver account.

The taking service order comprises a taking initial position;

optionally, the order pushing unit, in pushing the riding service order to the target driver account according to the rating information of the target driver account, includes:

the first ride order calculation subunit is used for calculating a first distance between the vehicle position of the target driver account and a ride starting position of the ride service order;

the second order calculation subunit is used for calculating the order value of the target driver account according to the first distance and the rating information of the target driver account;

and the list pushing determining subunit is used for pushing the riding service order to the target driver account if the list pushing value of the target driver account reaches a preset list pushing value threshold.

Optionally, the apparatus further comprises:

the second receiving unit is used for receiving order-grabbing requests sent by a plurality of driver accounts within second preset time, wherein the order-grabbing requests comprise order-grabbing time, the driver accounts and current vehicle positions corresponding to the driver accounts;

and the order distribution unit is used for calculating the order grabbing distance between the riding starting position of the riding service order and the current vehicle position of each driver account, calculating the order grabbing scores of the plurality of driver accounts according to the order grabbing time, the order grabbing distance and the rating information of each driver account, and distributing the riding service order to the driver accounts with the highest order grabbing score, wherein the plurality of driver accounts comprise the target driver account.

The feedback information comprises a plurality of completed taking service orders, each completed taking service order in the plurality of completed taking service orders comprises completed taking driving information and completed taking evaluation information, and the completed taking driving information comprises any one of a completed taking initial position, a completed taking final position and a completed taking time period;

optionally, the rating unit, in determining the rating information of the target driver account according to the feedback information, includes:

the first screening subunit is used for comparing the riding driving information in the riding service orders with the finished riding driving information of each finished riding service order, and screening a plurality of similar finished riding service orders from the plurality of finished riding service orders;

and the first rating calculation subunit is used for calculating the rating information of the target driver account according to the finished riding evaluation information in the similar finished riding service orders.

The feedback information comprises a plurality of completed taking service orders, each completed taking service order in the plurality of completed taking service orders comprises completed taking driving information and completed taking evaluation information, and the completed taking driving information comprises a completed taking route;

the second screening subunit is used for calculating a riding route of the riding service order according to riding driving information in the riding service order, calculating a route coincidence proportion between the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening out a plurality of similar finished riding service orders of which the route coincidence proportion reaches a preset route coincidence proportion threshold value from the plurality of finished riding service orders;

and the second rating calculation subunit calculates the rating information of the target driver account according to the finished riding evaluation information in the similar finished riding service orders.

In a third aspect, a server is provided for an embodiment of the present application, and includes a processor, a memory, and a transceiver, where the processor, the memory, and the transceiver are connected to each other, where the memory is used to store a computer program that supports the electronic device to execute the above-mentioned network taxi appointment driver credit management method, and the computer program includes program instructions; the processor is configured to invoke the program instructions to perform the web taxi appointment driver credit management method as described in one aspect of the embodiments of the application.

In a fourth aspect, a storage medium is provided for embodiments of the present application, the storage medium storing a computer program, the computer program comprising program instructions; the program instructions, when executed by a processor, cause the processor to perform a web taxi appointment driver credit management method as described in an aspect of an embodiment of the application.

In the embodiment of the application, according to a target driver account, feedback information of a completed riding service order submitted by at least one passenger account within a first preset time is acquired in a block chain network, and rating information of the target driver account is determined according to the feedback information; sending the rating information of the target driver account to a consensus node in a block chain network so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message under the condition that the consensus verification is passed; and under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account. This ensures the authenticity of the passenger feedback information and the fair validity of the driver's credit information.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a diagram of one possible system architecture provided by an embodiment of the present application;

FIG. 2 is a flow chart of a method for managing credit of a car booking driver in a network according to an embodiment of the present application;

FIG. 3 is a flow chart illustrating another method for managing taxi appointment driver credit according to an embodiment of the present disclosure;

FIG. 4 is a flow chart illustrating another method for managing taxi appointment driver credit according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a network car booking driver credit management device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the 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.

Please refer to fig. 1, which is a diagram illustrating a possible system architecture for the present application. As shown in fig. 1, the system architecture diagram includes a block chain network, a network appointment driver credit management platform, a terminal where a passenger account is located, and a terminal where a driver account is located, where the block chain network includes a plurality of consensus nodes and a billing node, the terminal where the passenger account is located includes a terminal where a plurality of passenger accounts are located, and a bill where the driver account is located includes a terminal where a plurality of driver accounts are located. After finishing first feedback information of a target driver, which is used for finishing a first passenger account riding service order, a terminal A where a first passenger account is located applies a first passenger account private key to sign the first feedback information to obtain a first passenger account signature, and sends the first feedback information carrying the first passenger account signature to a network car appointment driver credit management platform, the network car appointment driver credit management platform obtains a first passenger account public key in a block chain network according to the first passenger account, checks the first passenger account signature by using the first passenger account public key to obtain a first check code, then calculates the first feedback information by a Hash algorithm to obtain a second check code, matches the first check code with the second check code, if the first check code is consistent with the second check code, generates a block corresponding to the first feedback information according to an intelligent contract, and upload the block to the blockchain network. Then, the network appointment vehicle driver credit management platform acquires feedback information of completed riding service orders aiming at a target driver account submitted by at least one passenger account within a first preset time through a billing node in a block chain network according to the target driver account, determines rating information of the target driver account according to the feedback information, sends the rating information to a consensus node in the block chain network for consensus, calculates a push sheet score of each driver account according to the rating information of a plurality of driver accounts after receiving riding service orders uploaded by the passenger accounts, pushes the riding service orders to the driver accounts with the push sheet scores reaching a preset push sheet score threshold value, and sends a sheet robbing request to the network appointment vehicle driver credit management platform after a terminal of the driver account with the push sheet scores reaching the preset push sheet score threshold value receives the riding service orders, after receiving the order grabbing requests sent by the plurality of driver accounts, the online taxi appointment driver credit management platform calculates order grabbing scores of the plurality of driver accounts according to the rating information of the driver accounts, the order grabbing time and the like, and distributes the riding service orders to the driver accounts with the highest order grabbing scores. The terminal where the passenger account is located can acquire the feedback information of the completed passenger account riding service order of the target driver at any time in the block chain network through the passenger account, the feedback information is stored in the block chain network, and in addition, the rating information of the driver achieves consensus through the consensus nodes in the block chain network, so that the authenticity of the passenger feedback information and the fair effectiveness of the rating information of the driver account can be ensured.

Referring to fig. 2, a flow chart of a method for managing credit of a car booking driver is provided according to an embodiment of the present application. As shown in fig. 2, the method embodiment comprises the following steps:

s201, according to a target driver account, obtaining feedback information of a completed riding service order submitted by at least one passenger account within a first preset time in a block chain network, and determining rating information of the target driver account according to the feedback information.

The first preset time may be a day, a week, or a month, and the specific time is set by the network car booking driver credit management platform, and may be any time period.

In one possible implementation manner, the feedback information includes a plurality of completed taking service orders, each completed taking service order in the plurality of completed taking service orders includes completed taking travel information and completed taking evaluation information, and the completed taking travel information includes any one of a completed taking start position, a completed taking end position and a completed taking time period;

the determining of the rating information of the target driver account according to the feedback information includes:

comparing the riding information in the riding service orders with the finished riding information of each finished riding service order, and screening a plurality of similar finished riding service orders from the plurality of finished riding service orders;

and calculating the rating information of the target driver account according to the finished riding evaluation information in the similar finished riding service orders.

Specifically, after receiving a riding service order sent by a passenger account, the network taxi appointment driver credit management platform screens out a plurality of similar finished riding service orders from the plurality of finished riding service orders according to any one of a riding starting position, a riding ending position and a riding time period of the riding service order, wherein the finished riding starting position or the finished riding ending position or the finished riding time period of each similar finished riding service order is consistent with any one of the riding starting position, the riding ending position and the riding time period of the riding service order, and then calculates and obtains the rating information of a target driver account according to the finished riding service evaluation score and the finished riding service evaluation text in the finished riding evaluation information of the plurality of similar finished riding service orders.

For example, the network appointment vehicle driver credit management platform obtains feedback information of 100 completed riding service orders for the target driver account submitted by at least one passenger account within a week from 10 month 21 to 10 month 27 through a billing node in a block chain network according to the target driver account, then screens 2 completed riding service orders with the same riding starting position as "koyuan north" from the 100 completed riding service orders according to the riding starting position "koyuan north" in the received riding service orders, screens 3 completed riding service orders with the same riding ending position as "transportation bureau" from the remaining 98 completed riding service orders according to the riding ending position "transportation bureau" in the received riding service orders, and screens the remaining 95 completed riding service orders according to the riding time period "5: 30-6: 00" in the received riding service orders 5 similar finished riding service orders which are also 5:30-6:00 in the finished riding time period are screened out, and finally 10 similar finished riding service orders are obtained.

And then, the network appointment driver credit management platform calculates to obtain the rating information of the target driver account according to the completed riding service evaluation score and the completed riding service evaluation character in the completed riding evaluation information of the 10 similar completed riding service orders of the target driver account. Specifically, the rating information of the target driver account may refer to the following manner: determining the score corresponding to the finished riding service evaluation words according to the keywords in the finished riding service evaluation words of each similar finished riding service order, if the bad evaluation keywords of 'harassment, detour, bad attitude and the like' exist in the finished riding service evaluation words, the score corresponding to the finished riding service evaluation character is-5, and good evaluation keywords of good attitude, short riding time and the like exist in the finished riding service evaluation character, the score corresponding to the completed riding service evaluation character is 2, the score corresponding to the completed riding service evaluation character of each similar completed riding service order is added to the completed riding service evaluation score to obtain the service score of each similar completed riding service order, and finally the service scores of 10 similar completed riding service orders are added to obtain the rating information of the target driver account number of 70. The calculation method of the rating information of the target driver account is not limited herein.

In another possible implementation manner, the feedback information includes a plurality of completed taking service orders, each completed taking service order in the plurality of completed taking service orders includes completed taking travel information and completed taking evaluation information, and the completed taking travel information includes a completed taking route;

calculating a riding route of the riding service order according to riding driving information in the riding service order, calculating a riding route of the riding service order and a route coincidence proportion of a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening a plurality of similar finished riding service orders of which the route coincidence proportion reaches a preset route coincidence proportion threshold value from the plurality of finished riding service orders;

The riding information in the riding service order comprises a riding initial position, a riding final position and a riding time period.

For example, the network appointment driver credit management platform obtains feedback information of 20 completed taking service orders for the target driver account submitted by at least one passenger account in a day of 10 months and 27 th through a billing node in a block chain network according to the target driver account, then calculates a taking route a of the taking service order according to a taking starting position, a taking ending position and a taking time period in the received taking service order a, calculates the overlapping length of a completed taking route B and the taking route a in the completed taking service order B in the 20 completed taking service orders, then obtains the ratio of 800 meters of the overlapping length of the completed taking route B and the taking route a to 2000 meters of the total length of the taking route B to obtain the overlapping ratio of 40% of the completed taking service order B to 30% of the overlapping ratio, and compares the overlapping ratio of 40% of the completed taking service order B to 30% of the preset route ratio threshold, obviously, if the route overlapping proportion of the finished taking service order B is 40% greater than the preset route overlapping proportion threshold value 30%, the finished taking service order B is determined to be a similar finished taking service order. Finally, from the 20 completed ride service orders, there were screened B, C and E for 3 similar completed ride service orders, respectively, in the manner described above. Then, the completed riding service evaluation score 70 of the similar completed riding service order B in the 3 similar completed riding service orders is multiplied by the route overlapping proportion of 40% of the similar completed riding service order B to obtain the service score of the similar completed riding service order B as 28, the service scores of the similar completed riding service order C and the similar completed riding service order E are calculated according to the mode and respectively as 32 and 20, and the three service scores corresponding to the similar completed riding service order B, C and E are added to finally obtain the rating information of the target driver account as 80.

And S202, sending the rating information of the target driver account to a consensus node in a block chain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message when the consensus verification is passed.

In one possible implementation manner, the consensus node performs consensus verification on the rating information of the target driver account and returns a consensus confirmation message if the consensus verification passes, including:

For example, the network reduced driver credit management platform sends the rating information 80 of the target driver account obtained in step S201 to 1 consensus node in the block chain network, the consensus node broadcasts the rating information 80 of the target driver account to the other 9 consensus nodes through a broadcast mechanism, then a consensus node D of the 10 consensus nodes obtains feedback information of completed riding service orders for the target driver account submitted by at least one passenger account within a first preset time according to the target driver account, calculates the feedback information by adopting a target driver account rating information calculation method consistent with the network reduced driver credit management platform to obtain the rating verification information D of the target driver account of 80 minutes, matches the rating verification information D of the target driver account of 80 minutes with the rating information 80 minutes of the target driver account, obviously, if the rating verification information D of the target driver account is 80 minutes consistent with the rating information 80 of the target driver account, the consensus node D returns consensus confirmation information to the network car booking driver credit management platform. According to the mode, 8 consensus nodes finally return consensus confirmation information to the network car booking driver credit management platform. After that, step S203 is executed.

And S203, confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

For example, if the preset consensus percentage is 51%, the network appointment vehicle driver credit management platform sends the rating information 80 of the target driver account obtained in step S201 to 100 consensus nodes in the block chain network, and receives that the number of the consensus confirmation information returned by the consensus nodes is 80, the percentage of the consensus confirmation information returned by the consensus nodes is 80%, and is greater than the preset consensus percentage 51%, and it is determined that the rating information 80 of the target driver account is valid.

And then, the online taxi appointment driver credit management platform pushes a riding service order to the target driver account according to the rating information of the target driver account.

In one possible embodiment, the ride service order includes a ride start location;

the pushing of the riding service order to the target driver account according to the rating information of the target driver account comprises:

calculating a first distance between a vehicle position of the target driver account and a riding starting position of the riding service order;

calculating a bill pushing value of the target driver account according to the first distance and the rating information of the target driver account;

and if the single pushing value of the target driver account reaches a preset single pushing value threshold value, pushing the riding service order to the target driver account.

For example, the network-constrained vehicle driver credit management platform compares a first distance 1.5 kilometers between a vehicle position of a target driver account and a taking starting position of a taking service order, namely koyuanbei, with score tables (shown in table 1) corresponding to preset different distances to obtain a distance score of the target driver account of 70 points, calculates the distance score of the target driver account of 70 points and the rating information of 80 points of the target driver account in a weighted average mode according to the distance score and the rating information of 0.4 and 0.6 respectively to obtain a push unit score of (70 x 0.4+80 x 0.6)/2 x 38 of the target driver account, and judges whether the push unit score 38 of the target driver account is greater than or equal to a preset push unit score threshold value of 30, obviously, the push unit score 38 of the target driver account is greater than the preset push unit threshold value of 30, the ride service order is pushed to the target driver account.

Distance (kilometer)	0-1.0	1.0-2.0	2.0-3.0	3.0-4.0	4.0-5.0	……
							Distance score	100-80	80-60	60-40	40-0	0	……

TABLE 1 distance score table corresponding to different distances

In the embodiment of the application, the network appointment vehicle driver credit management platform acquires the feedback information of the completed riding service order of the target driver account in the block chain network, sends the rating information of the target driver account calculated according to the feedback information to the consensus node in the block chain network for consensus of the rating information of the target driver account, and in addition, the block chain has the characteristics of being not falsified and not forged, so that the authenticity of the feedback information of passengers and the fair effectiveness of the rating information of the order taking driver account can be ensured.

Referring to fig. 3, a flow chart of another method for managing the credit of a car booking driver of a network is provided according to an embodiment of the present application. As shown in fig. 3, this method embodiment includes the steps of:

s301, the first passenger account sends first feedback information of the completed riding service order aiming at the target driver account to the online taxi appointment driver credit management platform, and the first feedback information carries a first passenger account signature.

Before the terminal where the first passenger account is located performs step S301, a first key pair may be created by using an asymmetric encryption algorithm; asymmetric encryption algorithms herein may include, but are not limited to: the Elgamal algorithm (an asymmetric encryption algorithm), the Rabin algorithm (an asymmetric encryption algorithm), the Diffie-Hellman algorithm (an asymmetric encryption algorithm), the ECC algorithm (elliptic curve encryption algorithm). Wherein the first key pair comprises a first passenger account public key and a first passenger account private key; the public key of the first passenger account is used for identifying the identity of the first passenger account, and the private key of the first passenger account is used for signing the first feedback information of the terminal where the first passenger account is located. After the first key pair is created, the terminal of the first passenger account can upload the public key of the first passenger account in the first key pair to the blockchain network, and the private key of the first passenger account is kept by the terminal of the first passenger account.

And then, the first passenger account sends first feedback information of the completed riding service order aiming at the target driver account to the online taxi appointment driver credit management platform, and the first feedback information carries a first passenger account signature. And the signature of the first passenger account is obtained by signing the first feedback information by using a private key of the first passenger account at the terminal where the first passenger account is located. Step S302 is then performed.

S302, the online car booking driver credit management platform acquires a public key of the first passenger account number from the accounting node according to the first passenger account number.

Specifically, the network car booking driver credit management platform sends a request for obtaining a public key of a first passenger account number to a bookkeeping node in a block chain network, the request for obtaining the public key of the first passenger account number comprises the first passenger account number, and after receiving the request, the bookkeeping node obtains the public key of the first passenger account number according to the first passenger account number and sends the public key of the first passenger account number to the network car booking driver credit management platform. Step S303 is then performed.

And S303, the network car booking driver credit management platform checks the signature of the first passenger account according to the public key of the first passenger account to obtain a first check code, converts the first feedback information into a second check code by adopting a Hash algorithm, and matches the first check code with the second check code.

The hash algorithm herein includes but is not limited to: the MD4 algorithm, the MD5 algorithm, the SHA-1 algorithm, the SHA-256 algorithm, etc.

Specifically, the online car booking driver credit management platform checks and signs a signature of a first passenger account according to a public key of the first passenger account to obtain a first check code, and can be understood that the first check code is a hash value obtained by performing hash calculation on first feedback information, then the first feedback information is calculated by adopting a hash algorithm to obtain a second check code, the first check code and the second check code are matched, if the first check code is consistent with the second check code, the first feedback information is filled and sent by the first passenger account, and the first feedback information is not tampered, and the first feedback information is confirmed to be real information. Step S304 is then performed.

And S304, under the condition that the first check code is consistent with the second check code, the network car booking driver credit management platform sends the first feedback information and the first passenger account number signature to a consensus node in the block chain network.

S305, the consensus node performs consensus verification on the first feedback information.

In one possible implementation, 1 consensus node in the block chain network broadcasts the first feedback information and the first passenger account signature received in step S304 to the other 9 consensus nodes through a broadcast mechanism, then, each of the 10 consensus nodes obtains a first passenger account public key according to the first passenger account, verifies the first passenger account signature with the first passenger account public key, verifies whether the first feedback information is filled in and sent by the first passenger account, and if the consensus node succeeds in verifying the first passenger account signature, it indicates that the consensus verification passes, step S306 is performed.

And S306, the consensus node returns a first consensus confirmation message to the network car appointment driver credit management platform under the condition that the consensus verification is passed.

S307, when it is determined that the received first consensus information satisfies the predetermined consensus policy, adding the block including the first feedback information to the block chain network.

Specifically, the network car contract driver credit management platform calculates a consensus proportion between the number of the received first consensus confirmation information returned by the consensus nodes and the number of the consensus nodes for consensus verification, judges whether the consensus proportion is larger than or equal to a preset consensus proportion, if the consensus proportion is larger than or equal to the preset consensus proportion, the first feedback information is effective, and then sends the blocks containing the first feedback information to all block chain nodes (all accounting nodes and all consensus nodes) in the block chain network, so that all the blocks containing the first feedback information are stored by all the block chain nodes.

S308, the network car booking driver credit management platform obtains feedback information of completed riding service orders submitted by at least one passenger account within first preset time in the accounting node according to the target driver account, and determines the rating information of the target driver account according to the feedback information.

Specifically, the network car booking driver credit management platform sends a request for obtaining feedback information of completed riding service orders aiming at a target driver account submitted by at least one passenger account within a first preset time to a billing node in the block chain network, and the billing node obtains the feedback information of the completed riding service orders aiming at the target driver account submitted by at least one passenger account within the first preset time according to the target driver account in the request, and sends the feedback information to the network car booking driver credit management platform. And then, the online taxi appointment driver credit management platform determines the rating information of the target driver account according to the feedback information.

Here, for the specific implementation step of determining the rating information of the target driver account by the online car booking driver credit management platform according to the feedback information in step S308, refer to step S201 in the corresponding embodiment of fig. 2, which is not described herein again.

S309, the network car booking driver credit management platform sends the rating information of the target driver account number to a consensus node in the block chain network.

And S310, carrying out consensus verification on the rating information of the target driver account by the consensus node.

And S311, under the condition that the consensus verification is passed, the consensus node returns a second consensus confirmation message to the online car booking driver credit management platform.

And S312, the network car booking driver credit management platform confirms that the rating information of the target driver account is valid under the condition that the received second consensus confirmation message returned by the consensus node meets the preset consensus strategy, and pushes the riding service order to the target driver account according to the rating information of the target driver account.

Here, the specific implementation manner of steps S309 to S312 may refer to the description of steps S202 to S203 in the embodiment corresponding to fig. 2, and is not described herein again.

In the embodiment of the application, after checking feedback information of a completed riding service order aiming at a target driver account submitted by a received passenger account, a network reduced driver credit management platform sends the feedback information to a consensus node in a block chain network for consensus, uploads the feedback information to the block chain network under the condition that a consensus confirmation message returned by the received consensus node meets a preset consensus strategy, then sends the feedback information of the completed riding service order aiming at the target driver account obtained in the block chain network according to the target driver account, and sends the rating information of the target driver account calculated according to the feedback information to the consensus node in the block chain network for consensus on the rating information of the target driver account, and in addition, the block chain has the characteristics of being not falsifiable and not faggable, so that the authenticity of the passenger feedback information and the fair effectiveness of the rating information of the single driver account can be ensured .

Referring to fig. 4, a flow chart of another method for managing the credit of the car booking driver of the online car booking system is provided according to the embodiment of the present application. As shown in fig. 4, this method embodiment includes the steps of:

s401, according to the target driver account, obtaining feedback information of a completed riding service order submitted by at least one passenger account within a first preset time in the block chain network, and determining the rating information of the target driver account according to the feedback information.

S402, sending the rating information of the target driver account to a consensus node in the block chain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message when the consensus verification is passed.

And S403, confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

Here, the specific implementation manner of steps S401 to S403 may refer to the description of steps S201 to S203 in the embodiment corresponding to fig. 2, and is not described herein again.

S404, receiving order grabbing requests sent by a plurality of driver accounts within second preset time, calculating order grabbing scores of the plurality of driver accounts according to the order grabbing time, the order grabbing distance between the riding initial position and the vehicle position of each driver account and the rating information of each driver account, and distributing riding service orders to the driver accounts with the highest order grabbing score.

Specifically, the online taxi appointment driver credit management platform receives order grabbing requests sent by a plurality of driver accounts within second preset time, wherein the order grabbing requests comprise order grabbing time, the driver accounts and current vehicle positions corresponding to the driver accounts;

calculating the order grabbing distance between the riding starting position of the riding service order and the current vehicle position of each driver account, calculating the order grabbing scores of the plurality of driver accounts according to the order grabbing time, the order grabbing distance and the rating information of each driver account, and distributing the riding service order to the driver account with the highest order grabbing score, wherein the plurality of driver accounts comprise the target driver account.

The second preset time may be one minute or two minutes, and the specific time is set by the network car booking driver credit management platform, and may be any time period, which is not limited in the embodiment of the present application.

For example, the network appointment vehicle driver credit management platform receives the order grabbing requests sent by 4 driver accounts in three minutes after pushing the riding service orders to the multiple driver accounts at thirty minutes in the afternoon, wherein the order grabbing requests comprise order grabbing time and the driver accounts, wherein the order grabbing time of the driver accounts A, B, C and D is respectively thirty-one fifths, thirty-three fifths and thirty-two fifths, and the time interval score is determined according to the time interval between the time for pushing the riding service orders and the order grabbing time, for example, if the time interval between the time for pushing the riding service orders and the order grabbing time is within 0-1min, the corresponding time interval score is 100-80 minutes; if the time interval between the time of pushing the bus service order and the time of grabbing the order is within 1-2min, the corresponding time interval score is 80-60 minutes; and if the time interval between the time of pushing the bus service order and the time of grabbing the order is within 2-3min, the corresponding time interval score is 60-40. The driver account numbers A, B, C and D are obtained in the manner described above for time interval scores of 80, 90, 40, and 60, respectively. Then, the vehicle positions of the driver accounts A, B, C and D are respectively compared with the list grabbing distances between the riding start positions in the riding service order of 1 km, 1.5 km, 0.5 km and 2 km and score tables (shown in table 1) corresponding to preset different distances, so that the distance scores of the driver accounts A, B, C and D are respectively 80, 70, 90 and 60, wherein the rating information of the driver accounts A, B, C and D can be respectively calculated through step S401 to be 70, 60, 90 and 80, and finally the list grabbing scores of the driver accounts A, B, C and D are respectively 75, 75 and 60 according to the time interval score, the distance score and the rating information of the driver accounts by respectively calculating the time interval score, the distance score and the rating information of the driver accounts A, B, C and D in a weighting manner according to the time interval score, the distance score and the rating information of the driver accounts of 0.2, 0.3 and 0.5, 69. 80 and 70 points, and obviously, allocating the ride service order to the driver account C when the driver account C has the highest preemption score.

Referring to fig. 5, a schematic structural diagram of a network car booking driver credit management device is provided for an embodiment of the present application. As shown in fig. 5, the network car booking driver credit management apparatus includes a rating unit 501, a first consensus unit 502 and a push order unit 503.

A rating unit 501, configured to obtain, in a block chain network, feedback information of completed riding service orders submitted by multiple passenger accounts within a first preset time according to a target driver account, and determine rating information of the target driver account according to the feedback information;

a first consensus unit 502, configured to send the rating information of the target driver account to a consensus node in a block chain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message when the consensus verification passes;

a push order unit 503, configured to confirm that the rating information of the target driver account is valid when it is confirmed that a ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and push a riding service order to the target driver account according to the rating information of the target driver account.

Optionally, the apparatus further comprises:

a first receiving unit 504, configured to receive first feedback information, which is sent by a first passenger account and is for a completed riding service order of the target driver account, where the first feedback information carries a first passenger account signature;

a signature verification unit 505, configured to obtain a first passenger account public key in a block chain network according to the first passenger account, and verify a signature of the first passenger account according to the first passenger account public key to obtain a first check code;

a checking unit 506, configured to convert the first feedback information into a second check code by using a hash algorithm, match the first check code with the second check code, and determine that the first feedback information is real information if the first check code is identical to the second check code;

a second consensus unit 507, configured to send the first feedback information to a consensus node in the blockchain network, so that the consensus node performs consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification passes;

an uplink unit 508, configured to generate a block corresponding to the first feedback information according to an intelligent contract and add the block to the block chain network when it is determined that the received consensus confirmation message satisfies the preset consensus policy.

Optionally, the performing consensus verification on the rating information of the target driver account by the consensus node, and returning a consensus confirmation message if the consensus verification passes, where the consensus verification includes:

and the consensus node calculates the rating verification information of the target driver account according to the feedback information, matches the rating verification information of the target driver account with the rating information of the target driver account, and returns consensus confirmation information if the rating verification information of the target driver account is consistent with the rating information of the target driver account.

The taking service order comprises a taking initial position;

optionally, the pushing order unit 503 includes, in pushing a riding service order to the target driver account according to the rating information of the target driver account, that:

a first push calculation subunit 5031, configured to calculate a first distance between the vehicle position of the target driver account and a riding start position of the riding service order;

a second list calculation subunit 5032, configured to calculate a list score of the target driver account according to the first distance and the rating information of the target driver account;

the waybill determination subunit 5033 is configured to push the riding service order to the target driver account if the waybill score of the target driver account reaches a preset waybill score threshold.

Optionally, the apparatus further comprises:

a second receiving unit 509, configured to receive a ticket-grabbing request sent by a plurality of driver accounts within a second preset time, where the ticket-grabbing request includes a ticket-grabbing time, the driver account, and a current vehicle position of the corresponding driver account;

an order distribution unit 510, configured to calculate an order grabbing distance between a riding starting position of the riding service order and a current vehicle position of each driver account, calculate order grabbing scores of the multiple driver accounts according to the order grabbing time, the order grabbing distance, and rating information of each driver account, and distribute the riding service order to the driver account with the highest order grabbing score, where the multiple driver accounts include the target driver account.

optionally, the determining, by the rating unit 501, the rating information of the target driver account according to the feedback information includes:

a first screening subunit 5011, configured to compare the taking car driving information in the taking car service orders with the completed taking car driving information of each completed taking car service order, and screen a plurality of similar completed taking car service orders from the plurality of completed taking car service orders;

the first rating calculation subunit 5012 is configured to calculate rating information of the target driver account according to the completed riding evaluation information in the similar completed riding service orders.

The feedback information comprises a plurality of completed taking service orders, each completed taking service order in the plurality of completed taking service orders comprises completed taking travel information and completed taking evaluation information, and the completed taking travel information comprises a completed taking route;

a second screening subunit 5013, configured to calculate a riding route of the riding service order according to riding information in the riding service order, calculate a route coincidence ratio between the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screen out a plurality of similar finished riding service orders from the plurality of finished riding service orders, where the route coincidence ratio reaches a preset route coincidence ratio threshold;

the second rating calculation subunit 5014 calculates rating information of the target driver account according to the completed riding evaluation information in the similar completed riding service orders.

It is understood that the network car booking driver credit management device 500 is used for realizing the steps executed by the network car booking driver credit management platform in the embodiments of fig. 2 to 4. For specific implementation and corresponding advantageous effects of the functional blocks included in the online taxi appointment driver credit management apparatus 500 of fig. 5, reference may be made to the detailed descriptions of the embodiments of fig. 2 to fig. 4, which are not repeated herein.

The online car booking driver credit management apparatus 500 in the embodiment shown in fig. 5 may be implemented by the server 600 shown in fig. 6. Please refer to fig. 6, which provides a schematic structural diagram of a server according to an embodiment of the present application. As shown in fig. 6, the server 600 may include: one or more processors 601, memory 602, and a transceiver 603. The processor 601, the memory 602, and the transceiver 603 are connected by a bus 604. Wherein the transceiver 603 is configured to obtain feedback information of a plurality of passenger accounts or send rating information of a target driver account, and the memory 602 is configured to store a computer program, which includes program instructions; the processor 601 is configured to execute the program instructions stored in the memory 602, and perform the following operations:

according to a target driver account, obtaining feedback information of completed riding service orders submitted by a plurality of passenger accounts within a first preset time in a block chain network, and determining the rating information of the target driver account according to the feedback information;

and confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

Optionally, the processor 601 further specifically performs the following operations:

receiving first feedback information which is sent by a first passenger account and aims at the target driver account and completes a first passenger account riding service order, wherein the first feedback information carries a first passenger account signature;

acquiring a first passenger account public key in a block chain network according to the first passenger account, and verifying and signing the first passenger account signature according to the first passenger account public key to obtain a first check code;

converting the first feedback information into a second check code by adopting a Hash algorithm, matching the first check code with the second check code, and if the first check code is consistent with the second check code, determining that the first feedback information is real information;

sending the first feedback information and the first passenger account signature to a consensus node in the block chain network, so that the consensus node performs consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification is passed;

and adding a block including the first feedback information to the blockchain network when the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio.

The taking service order comprises a taking initial position;

optionally, the processor 601 pushes a riding service order to the target driver account according to the rating information of the target driver account, and specifically performs the following operations:

calculating a first distance between the vehicle position of the target driver account and a riding starting position of the riding service order;

calculating a deduction value of the target driver account according to the first distance and the rating information of the target driver account;

receiving order grabbing requests sent by a plurality of driver accounts within second preset time, wherein the order grabbing requests comprise order grabbing time, the driver accounts and current vehicle positions corresponding to the driver accounts;

optionally, the processor 601 determines the rating information of the target driver account according to the feedback information, and specifically performs the following operations:

comparing the taking car driving information in the taking car service orders with the finished taking car driving information of each finished taking car service order, and screening a plurality of similar finished taking car service orders from the plurality of finished taking car service orders;

calculating a riding route of the riding service order according to riding driving information in the riding service order, calculating a route coincidence proportion between the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening a plurality of similar finished riding service orders of which the route coincidence proportion reaches a preset route coincidence proportion threshold value from the plurality of finished riding service orders;

In an embodiment of the present application, there is further provided a computer storage medium, which can be used for storing computer software instructions for the online car booking driver credit management apparatus in the embodiment shown in fig. 5, and which contains a program designed for the online car booking driver credit management apparatus in the embodiment. The storage medium includes, but is not limited to, flash memory, hard disk, solid state disk.

In an embodiment of the present application, there is also provided a computer program product, which when executed by a computing device, can execute the web taxi appointment driver credit management apparatus designed in the embodiment shown in fig. 5.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

In the present application, "a and/or B" means one of the following cases: a, B, A and B. "at least one of … …" refers to any combination of the listed items or any number of the listed items, e.g., "at least one of A, B and C" refers to one of: any one of seven cases, a, B, C, a and B, B and C, a and C, A, B and C.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The method and the related apparatus provided by the embodiments of the present application are described with reference to the flowchart and/or the structural diagram of the method provided by the embodiments of the present application, and each flow and/or block of the flowchart and/or the structural diagram of the method, and the combination of the flow and/or block in the flowchart and/or the block diagram can be specifically implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block or blocks of the block diagram. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block or blocks of the block diagram. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block or blocks.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A method for managing credit of a car booking driver on a network is characterized by comprising the following steps:

2. The method as claimed in claim 1, wherein before obtaining feedback information of completed riding service orders submitted by a plurality of passenger accounts within a first preset time in a blockchain network according to a target driver account, the method comprises:

receiving first feedback information of a completed riding service order of the target driver account sent by a first passenger account, wherein the first feedback information carries a first passenger account signature;

acquiring a first passenger account public key in a block chain network according to the first passenger account, and checking the signature of the first passenger account according to the first passenger account public key to obtain a first check code;

sending the first feedback information and the first passenger account signature to a consensus node in the block chain network, so that the consensus node performs consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification passes;

and adding the block containing the first feedback information into the block chain network under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio.

3. The method of claim 1, wherein the consensus node performs consensus verification on the rating information of the target driver account and returns a consensus confirmation message if the consensus verification passes, comprising:

4. The method of claim 1, wherein the ride service order comprises a ride starting location;

5. The method of claim 1, wherein the ride service order comprises a ride starting location;

after the riding service order is pushed to the target driver account according to the rating information of the target driver account, the method comprises the following steps:

6. The method of claim 1, wherein the feedback information comprises a plurality of completed ride service orders, each of the plurality of completed ride service orders comprising completed ride travel information and completed ride evaluation information, the completed ride travel information comprising any one of a completed ride start position, a completed ride end position, and a completed ride time period;

7. The method of claim 1, wherein the feedback information comprises a plurality of completed ride service orders, each completed ride service order of the plurality of completed ride service orders comprising completed ride travel information and completed ride evaluation information, the completed ride travel information comprising a completed ride route;

8. A network car booking driver credit management device, comprising:

9. A server, comprising a processor, a memory and a transceiver, wherein the processor, the memory and the transceiver are connected to each other, wherein the transceiver is configured to receive or transmit data, the memory is configured to store program code, and the processor is configured to invoke the program code to perform the network appointment driver credit management method according to any one of claims 1-7.

10. A storage medium, characterized in that the storage medium stores a computer program comprising program instructions; the program instructions, when executed by a processor, cause the processor to perform the network car appointment driver credit management method of any one of claims 1-7.