CN112102079B - Service data processing method and device, computer equipment and storage medium - Google Patents
Service data processing method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN112102079B CN112102079B CN202010789866.0A CN202010789866A CN112102079B CN 112102079 B CN112102079 B CN 112102079B CN 202010789866 A CN202010789866 A CN 202010789866A CN 112102079 B CN112102079 B CN 112102079B
- Authority
- CN
- China
- Prior art keywords
- transaction
- block
- nodes
- node list
- service data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003860 storage Methods 0.000 title claims abstract description 17
- 238000003672 processing method Methods 0.000 title abstract description 9
- 238000009826 distribution Methods 0.000 claims abstract description 88
- 238000012545 processing Methods 0.000 claims abstract description 50
- 238000000034 method Methods 0.000 claims abstract description 45
- 238000006243 chemical reaction Methods 0.000 claims abstract description 20
- 238000012795 verification Methods 0.000 claims description 44
- 230000000903 blocking effect Effects 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 9
- 238000005304 joining Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 description 7
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000000977 initiatory effect Effects 0.000 description 4
- 230000006855 networking Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 102220352372 c.148T>G Human genes 0.000 description 2
- 238000002790 cross-validation Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000005242 forging Methods 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 102220398908 c.178T>G Human genes 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003999 initiator Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 102200033501 rs387907005 Human genes 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Technology Law (AREA)
- Health & Medical Sciences (AREA)
- Bioethics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Economics (AREA)
- Computing Systems (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a processing method, a processing device, computer equipment and a storage medium of service data, relates to the technical field of blockchains, and is mainly used for improving the efficiency of service data processing and ensuring the fairness and transparency of service accounting. The main method comprises the following steps: acquiring the distribution proportion and the distribution period of each relevant party of the current distribution rule at a preset time point; acquiring service data in the distribution period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period; converting the business data into data total according to a preset conversion rule; and distributing the data total amount to the related parties according to the distribution proportion of the related parties, determining the latest distribution rule as a next distribution rule, and determining the preset time point according to the next distribution rule.
Description
Technical Field
The present invention belongs to the technical field of blockchain, and in particular, relates to a method and apparatus for processing service data, a computer device, and a storage medium.
Background
All kinds of game machine tables in the recreation ground are sourced from different manufacturers and throwing parties, so that a plurality of stakeholders are involved, meanwhile, when the recreation ground distributes accounts for the stakeholders, all data are obtained by relying on the operation of the game machine in the recreation ground, the operation data of the game machine tables can directly influence the interests of all parties, and the public balance distribution is difficult to ensure in the prior art. For example, the internet of things box accessed by the operation of the game machine is easy to be disassembled maliciously, so that the counted game coin data source is inaccurate; in another example, a third party operation system for monitoring operation data of a game field is easy to be technically attacked or artificially tampered due to the characteristics of a centralized system, and lacks a trusted data storage and display platform.
The blockchain has the characteristics of incapability of forging, openness, transparency and the like, and is naturally beneficial to solving the problems, but the existing blockchain technology cannot be directly suitable for a large amount of coin-feed data in the background of the game machine industry because of the characteristics of slow verification of a data uplink consensus mechanism, low node efficiency and the like, so that the blockchain technology cannot be directly applied to the recreation industry.
Disclosure of Invention
The embodiment of the invention provides a processing method, a processing device, computer equipment and a storage medium of service data, and aims to provide a method capable of dividing a large amount of service data, improve the efficiency of service data processing and ensure the fairness and transparency of service account division.
The embodiment of the invention is realized in such a way that the method for processing the service data is applied to a block chain system and comprises the following steps:
acquiring the distribution proportion and the distribution period of each relevant party of the current distribution rule at a preset time point;
Acquiring service data in the distribution period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period;
Converting the business data into data total according to a preset conversion rule;
And distributing the data total amount to the related parties according to the distribution proportion of the related parties, determining the latest distribution rule as a next distribution rule, and determining the preset time point according to the next distribution rule.
The embodiment of the invention also provides a processing device of the service data, which is applied to the block chain system and comprises the following components:
The first acquisition module is used for acquiring the distribution proportion and the distribution period of each related party of the current distribution rule at a preset time point;
the second acquisition module is used for acquiring the service data in the distribution period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period;
The conversion module is used for converting the service data into data total according to a preset conversion rule;
The allocation module is used for allocating the data total amount to the related parties according to the allocation proportion of the related parties;
And the determining module is used for determining the latest allocation rule as a next allocation rule and determining the preset time point according to the next allocation rule.
The embodiment of the invention also provides computer equipment, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer equipment executes the processing method of the service data when the processor runs the computer program.
The embodiment of the invention also provides a storage medium, on which a computer program is stored, which when being executed by a processor, implements the above-mentioned method for processing service data.
The invention provides a processing method, a device, a computer device and a storage medium of service data, wherein the method comprises the steps of firstly, acquiring the distribution proportion and the distribution period of each relevant party of a current distribution rule at a preset time point; then obtaining service data in the distribution period; converting the business data into data total according to a preset conversion rule; and finally, distributing data total for the related party according to the distribution proportion of each related party, determining the latest distribution rule as the next distribution rule, and determining a preset time point according to the next distribution rule. The business data in the invention is verified data through the transaction nodes in the session node list, and the transaction nodes in the session node list are determined according to effective transactions in the distribution period, namely, the business data in the invention is verified and endorsed by different nodes, so that the effect of random cross-verification of transactions can be realized through the invention, the business data can reach consensus on a block chain more quickly, and the agreed business data is distributed and processed according to the distribution rule, namely, the business data is converted into data total and the data total is distributed for related parties, thereby ensuring the public transparency of business accounting and improving the processing efficiency of the business data through the invention.
Drawings
Fig. 1 is a flowchart of a method for processing service data according to an embodiment of the present invention;
Fig. 2 is a flowchart of a method for processing service data in the second embodiment of the present invention;
fig. 3 is a flowchart of a method for processing service data in the third embodiment of the present invention;
fig. 4 is a flowchart of a method for processing service data in the fourth embodiment of the present invention;
fig. 5 is a block diagram of a service data processing device in a fifth embodiment of the present invention;
fig. 6 is a block diagram of a computer device in a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Public chains typically rely on proof of work (PoW) or similar algorithms to create a new block, which essentially relies on solving a complex mathematical problem (mining) to contend for accounting rights, resulting in both wasted resources and inefficiency of transactions. Because of the huge message volume of the industrial Internet of things, a consensus algorithm which does not affect the safety and is efficient enough is needed. In the alliance chain, the existing consensus algorithm cannot meet the requirement of the industrial internet of things, such as a time proof (PoET) algorithm, a block is created by the network and needs to wait for a period of time randomly, and the first node for completing waiting obtains the accounting right. However, as the node scale increases, the cost of the election process between the nodes will increase, so the validity of the election needs to be confirmed by each member node, so the time cost is too high when the node scale is large enough.
At present, various game machine tables in a recreation ground are sourced from different manufacturers and throwing parties, so that a plurality of stakeholders are involved, and meanwhile, when the recreation ground distributes accounts for the stakeholders, all data are obtained by operation of the in-field game machine, the operation data of the game machine tables can directly influence the interests of all parties, and the public balance account distribution is difficult to ensure in the prior art. For example, the internet of things box accessed by the operation of the game machine is easy to be disassembled maliciously, so that the counted game coin data source is inaccurate; in another example, a third party operation system for monitoring operation data of a game field is easy to be technically attacked or artificially tampered due to the characteristics of a centralized system, and lacks a trusted data storage and display platform.
Based on the actual operation requirement of the game machine, the accounting is a requirement of a comparison core, however, the traditional accounting mechanism usually involves a plurality of stakeholders of the amusement equipment, such as a game machine manufacturer, a game machine throwing party, a game place and the like, according to operation data provided by the place, accounting is respectively obtained through accounting by jointly negotiated accounting proportion, and the stakeholders keep questionable attitudes on the authenticity of the operation data provided by the place, so that the practical problems of unclear accounts, ambiguous benefit division and the like are worried to exist more or less.
The blockchain has the characteristics of incapability of forging, openness, transparency and the like, so that the problems are solved, but the existing blockchain technology cannot be directly suitable for a large amount of coin-feed data in the background of the game machine industry because of the characteristics of slow verification, low node efficiency and the like of a data uplink consensus mechanism, so that the blockchain technology cannot be directly used in the recreation industry.
In order to solve the above problems, the present invention provides a method, an apparatus, a computer device and a storage medium for processing service data, wherein the method comprises the steps of firstly obtaining a distribution ratio and a distribution period of each relevant party of a current distribution rule at a preset time point; then obtaining service data in the distribution period; converting the business data into data total according to a preset conversion rule; and finally, distributing data total for the related party according to the distribution proportion of each related party, determining the latest distribution rule as the next distribution rule, and determining a preset time point according to the next distribution rule. The business data in the invention is verified data through the transaction nodes in the session node list, and the transaction nodes in the session node list are determined according to effective transactions in the distribution period, namely, the business data in the invention is verified and endorsed by different nodes, so that the effect of random cross-verification of transactions can be realized through the invention, the business data can reach consensus on a block chain more quickly, and the agreed business data is distributed and processed according to the distribution rule, namely, the business data is converted into data total and the data total is distributed for related parties, thereby ensuring the public transparency of business accounting and improving the processing efficiency of the business data through the invention.
It should be noted that, in the case where the blockchain application described in the present invention is applied in the field of the internet of things (the present embodiment is exemplified by a game machine in the field of the internet of things), the transaction (or the transaction) is still completed using three stages: the initiation phase of the transaction, the verification phase of the transaction and the submission phase of the transaction, respectively. Before describing the details of these three stages in detail, some terms in this embodiment will be described as follows:
A game machine: the system refers to the Internet of things amusement equipment or a box which can collect coin data in amusement scenes and can receive or generate blockchain transactions.
And (3) node: means that can execute the block chain consensus algorithm and read and write the account book, the game machine is always connected to a certain node, and the node processes the coin-freed information from the device.
An administrator: refers to an individual or organization that initializes and maintains the blockchain network (e.g., node admission permissions, etc.).
The related party: in the actual operation of a certain game machine table, game machine manufacturers, game machine throwing parties, recreation ground places and the like which participate in the division of the revenues.
And (3) account separation rules: the intelligent contract is used for executing, the account separating rule is bound with a certain game machine, and the stakeholder of the game machine signs and approves the account separating rule and can be effectively executed.
And (3) a platform: the blockchain platform is constructed based on the blockchain technology and is used for providing functions of game machine equipment management, operation monitoring, income accounting and the like for stakeholders of the equipment.
Example 1
Referring to fig. 1, a method for processing service data in a first embodiment of the present invention is applicable to a blockchain system, and the method specifically includes step S01 and step S04, and the specific contents are as follows:
And S01, acquiring the distribution proportion and the distribution period of each relevant party of the current distribution rule at a preset time point.
In this embodiment, a plurality of allocation rules are stored in the blockchain system, and each time service data is processed, the current allocation rule needs to be determined. Specifically, the current allocation rule and the preset time point are determined after the last allocation, that is, the next allocation rule is determined after the last allocation, and the preset time point is determined according to the next allocation rule and the current allocation time. For example, when the last allocation time is 1 month and 1 day in 2020 and the allocation period is 10 days in the determined next allocation rule, the next allocation time can be determined to be 11 days in 2020, and the service data generated from 1 month and 1 day in 2020 to 10 days in 2020 can be allocated at the preset time point of 11 days in 2020.
It should be noted that, the allocation rule is determined by the relevant party, for example, in the field of game machines, the relevant party is a game machine manufacturer, a game machine throwing party, a casino, and the like, and the embodiment is not limited specifically. Specifically, in order to achieve the purpose of trusted billing, a fair billing scheme approved by all stakeholders needs to be formulated. The accounting scheme only exists as a certain parameter in the blockchain network, and an intelligent contract capable of executing the accounting scheme needs to be deployed first and can be executed after being signed by each stakeholder. The method comprises the following specific steps:
1. A list of stakeholders associated with the allocation rule is collected and all users in the list will become authentication nodes of the smart contract. If in the field of game machines, the stakeholder list comprises verification nodes respectively corresponding to a game machine manufacturer, a game machine throwing party and a recreation ground;
2. the voting generates the allocation rule configuration of a certain party, and the main factors agreed in the rule are the account dividing proportion of each party participating in the account dividing and the account dividing period;
3. the distribution rule is subjected to signature authentication of all stakeholders one by one;
4. The allocation rule configuration confirmed by the joint signature will be submitted to the blockchain system, resulting in an allocation rule address that will be automatically triggered when the execution conditions of the smart contract are reached.
It should be noted that, in this embodiment, before each relevant party makes the allocation rule, it is also necessary to register the relevant party on the blockchain system. For example, all stakeholders of a gaming machine need to first register with the blockchain system before deploying the internet of things network. The current system is preset as three stakeholders: the method comprises the following specific steps of:
1. each stakeholder needs to fill in the data of the stakeholder in the platform, register the stakeholder with the blockchain system and acquire the wallet address on the chain;
2. And generating an identity mark in the Internet of things of the game machine by intelligently closing all the stakeholders, wherein each stakeholder needs to sign the corresponding identity mark.
Step S02, obtaining service data in an allocation period; the traffic data is data validated by a transaction node in the list of session nodes, the transaction node in the list of session nodes being determined from valid transactions within the allocation period.
The service data are data generated by the Internet of things equipment. In this embodiment, the game machine is illustrated by using the internet of things device, and the service data may specifically be slot time, slot number, machine status, etc., which is not specifically limited in the embodiment of the present invention.
In this embodiment, since the service data is data verified by the transaction nodes in the session node list, and the transaction nodes in the session node list are determined according to the effective transactions in the allocation period, that is, the service data in this embodiment is verified and endorsed by different nodes, the effect of random cross-validation of transactions can be achieved by the present invention, so that the service data can reach consensus on the blockchain more quickly, and the processing efficiency of the service data is improved by the present embodiment.
And S03, converting the business data into data total according to a preset conversion rule.
Wherein the preset conversion rules may be written to a database of the blockchain system. After the service data is acquired, the embodiment analyzes the type of the service data, searches the corresponding preset conversion rule from the database according to the type of the service data, and converts the service data into the total data according to the preset conversion rule.
For example, after the service data is analyzed, the service data is determined to belong to the data generated by the game machine a, the conversion rule a corresponding to the game machine a in the database is searched, if the conversion rule is that the number of 10 coins is 1 element, and if the number of coins recorded in the service data is 1000, the 1000 coins of the service data is converted into 100 according to the conversion rule.
And step S04, distributing the data total amount for the related party according to the distribution proportion of each related party, determining the latest distribution rule as the next distribution rule, and determining a preset time point according to the next distribution rule.
In this embodiment, the data total is allocated to the relevant party according to the allocation proportion of each relevant party of the current allocation rule. For example, the allocation proportion of each relevant party recorded in the current allocation rule is: if the total data amount is 1000, the game machine manufacturer can be divided into 200, the game machine throwing party can be divided into 600, and the play field can be divided into 200.
The latest allocation rule is the latest allocation rule of the date recorded in the block chain system, namely the latest allocation rule determined by each relevant party. For example, when the current date is 1 st 2020, there is only one allocation rule a in the blockchain system, the allocation period recorded in the allocation rule a is 20 days, that is, the allocation rule a is used to allocate the total amount of data to the relevant party on 21 st 2020, if the relevant party is reassigned with the allocation rule B, the allocation period in the allocation rule is 10 days, the formulated time is 18 st 2020, that is, the date of the allocation rule B is later than the allocation rule a, the relevant party is allocated with the allocation rule a from 21 st 2020 to 20 st 2020, and the next allocation rule is determined to be the allocation rule B, and the next allocation time is 31 st 2020, that is, the relevant party is allocated with the allocation rule B from 21 st 2020 to 30 st 2020.
The invention provides a processing method of business data, firstly, the distribution proportion and the distribution period of each relevant party of the current distribution rule are obtained at a preset time point; then obtaining service data in the distribution period; converting the business data into data total according to a preset conversion rule; and finally, distributing data total for the related party according to the distribution proportion of each related party, determining the latest distribution rule as the next distribution rule, and determining a preset time point according to the next distribution rule. The business data in the invention is verified data through the transaction nodes in the session node list, and the transaction nodes in the session node list are determined according to effective transactions in the distribution period, namely, the business data in the invention is verified and endorsed by different nodes, so that the effect of random cross-verification of transactions can be realized through the invention, the business data can reach consensus on a block chain more quickly, and the agreed business data is distributed and processed according to the distribution rule, namely, the business data is converted into data total and the data total is distributed for related parties, thereby ensuring the public transparency of business accounting and improving the processing efficiency of the business data through the invention.
Example two
Referring to fig. 2, a method for processing service data in a second embodiment of the present invention may be applied to a blockchain system, and the step of acquiring service data in an allocation period specifically includes steps S10 to S60, and the specific contents are as follows:
step S10, obtaining a block of effective transaction in a preset time period.
The preset time Ts may be specifically set according to actual requirements, for example, ts is 1 minute, 3 minutes, 4 minutes, and the embodiment of the present invention is not specifically limited. It should be noted that, before acquiring the block of the effective transaction within the preset time period, the embodiment of the invention needs to network the internet of things device, and needs to go through the initiation stage of the transaction, the verification stage of the transaction and the submission stage of the transaction. The specific contents are as follows:
When operation starts, the internet of things device (illustrated by a game machine as an example) needs to register with the blockchain network and perform networking according to information given by the blockchain network. The method comprises the following specific steps:
1. The game machine registers to the blockchain network by utilizing the certificate information built in the SDK and a preset blockchain network part node list address, and simultaneously carries the identity identification list information and the account dividing scheme address of the stakeholder;
2. the blockchain network confirms the validity of the certificate, the identity identification list and the account dividing scheme address;
3. the blockchain network issues a connection certificate and corresponding node information to the game machine;
4. the game console initiates an interaction request to the corresponding node by means of the connection certificate;
5. The node verifies the validity of the connection certificate and accepts the interaction request.
Transaction initiation stage
Applications on the internet of things device collect the data that needs to be uplinked and use the SDK to normalize it. The data comprises the collected effective service data and signature information of the service data by the Internet of things equipment. Transaction data is then submitted via the dedicated channel established with the corresponding node. The corresponding node is the Internet of things equipment which is directly used as the node; one is that a plurality of internet of things equipment form the intranet and then are networked through unified transfer equipment (for example, the internet of things equipment is too low in configuration, the calculation power and the storage space of the internet of things equipment can not meet the node operation requirement, and at the moment, the request transfer is carried out by means of a certain equipment in the internet of things).
For example, the game machine reads the coin information of a specific machine position by means of the electronic pulse signal of the coin slot, and the coin information is processed into a standard data format through the SDK. The data includes collected effective business data, such as coin-in time, coin-in quantity, machine state, etc., and signature information of the game machine to the effective business data, and then submits transaction data through a special channel established by the node corresponding to the game machine.
Transaction verification stage
The node firstly carries out signature verification on the received uplink data, namely receives transaction data sent by a source node side, wherein the transaction data comprises signature information; verifying signature information in transaction data; if the verification is passed, determining that the transaction of the source node is a valid transaction. At this point, the data submission request may be denied because the signature is invalid or the device rights are insufficient (e.g., the device is not authorized to submit information to the network, etc.). A validated transaction will get an endorsement of the node and be considered a valid transaction.
For example, the node may first verify the signature of the received uplink data, and may reject the transaction due to invalid credentials or insufficient device rights (e.g., the device is not authorized to submit information to the network, etc.). A validated transaction will get an endorsement of the node and be considered a valid transaction.
Transaction submission stage
The commit phase is entered when OSN (Orderer Service Node) packages a valid transaction for a certain period of time (denoted as Ts) as a block and is determined by the present invention.
Step S20, a session node list is constructed according to the effective transactions in the block, and transaction nodes corresponding to each effective transaction are stored in the session node list.
The transaction node includes a source node and a target node, where the source node and the target node are nodes in the blockchain network, for example, if a certain internet of things device triggers a transaction behavior (or a digital asset circulation behavior), the internet of things device (or a corresponding node thereof) is the source node. Specifically, in this embodiment, after receiving a block of valid transactions within a preset time period, all source nodes and target nodes of valid transactions within the block are obtained, and then a session node list is constructed according to the source nodes and the target nodes.
It should be noted that, in this embodiment, the session node list includes, in addition to the source node and the destination node, a public address of the node, the number of involved transactions, and used parameter information, and the embodiment of the present invention is not limited specifically. The public address refers to an external communication address of the node in the blockchain network, and is generally a certain effective public network IP or intranet IP (if the whole blockchain network adopts overlay networking, the public address may be intranet IP); the parameter information contains personalized information attached by the user as required by the user and can be used for subsequent analysis and processing of the submitted data.
Step S30, if the number of transaction nodes in the session node list is smaller than the preset safety threshold, determining neighbor nodes according to the transaction nodes and adding the neighbor nodes into the session node list so that the number of the transaction nodes in the session node list is larger than or equal to the preset safety threshold.
The preset security threshold may be set according to requirements, specifically may be 100, 200, 300, etc., and the embodiment of the invention is not limited in particular, and the initial security threshold may be set according to actual situations when networking, for example, the network threshold through public network interaction in the whole course may be increased, and when using overlay networking, default 51% setting may be used, where the value range of the threshold is [51,100].
For example, the preset security threshold is 100, the number of nodes in the session node list is 40, then the neighbor nodes of the transaction node need to be added into the session node list, then whether the number of the transaction nodes in the session node list is smaller than 100 is calculated again, if the number of the transaction nodes is smaller than 100, the neighbor nodes added into the neighbor nodes in the member node list are acquired again, then the neighbor nodes confirmed again are added into the session node list until the number of the transaction nodes in the session node list is greater than or equal to 100.
It should be noted that, in order to reduce the efficiency of determining the neighbor node in the subsequent steps, in the case where there is a repetition between the source node and the destination node in the session node list, in one embodiment provided by the present invention, before determining the neighbor node according to the transaction node and adding the neighbor node to the session node list, the method includes: performing deduplication on the source node and the target node; and determining neighbor nodes according to the source node and the target node after the duplication removal, and adding the neighbor nodes into the session node list so that the number of transaction nodes in the session node list is greater than or equal to the preset safety threshold.
In one embodiment provided by the present invention, step S30 determines neighboring nodes according to the transaction node and adds the neighboring nodes to the session node list, so that the number of transaction nodes in the session node list is greater than or equal to the preset security threshold, including:
Step S301, randomly selecting a second preset number of transaction nodes from the session node list.
The second preset number may be set according to actual requirements, for example, the second preset number is set to half of the number of nodes in the session node list, or one third of the number of nodes in the session node list, which is not specifically limited in the embodiment of the present invention.
Step S302, sending a request for joining the session node list to the neighbor nodes of the selected transaction node, so that the neighbor nodes join the session node list until the number of the transaction nodes in the session node list is greater than or equal to a preset security threshold.
Specifically, the selected transaction node requests the neighbor node to join the session node list, and if a certain neighbor node receives requests of a plurality of nodes for initiating the invitation to join the session node list, only one request received earliest is responded. Checking the number of transaction nodes in the session node list, and if the number of transaction nodes is still lower than the preset safety threshold, repeating the steps until the minimum preset safety threshold requirement is met.
And step S40, transmitting the effective transaction in the block to the transaction nodes in the session node list for verification.
Step S50, if the effective transaction in the block is verified to be successful by the transaction nodes with the number larger than or equal to the first preset number, the effective transaction of the block is submitted.
Step S60, obtaining the business data of the effective transaction in the submitted block in the allocation period.
The embodiment of the invention provides a processing method of service data, when the number of transaction nodes in a session node list is insufficient to verify a block, determining neighbor nodes according to the transaction nodes and adding the neighbor nodes into the session node list so that the number of the transaction nodes in the session node list is greater than or equal to a preset safety threshold value, and then verifying the block according to the nodes in the session node list. The invention can realize random cross validation effect of transaction, so that data can form consensus on block chain more quickly, and the processing efficiency of business data is improved.
Example III
Referring to fig. 3, a method for processing service data in a third embodiment of the present invention is shown, and the method for processing service data in the present embodiment is different from the method for processing service data in the second embodiment in that: after sending the valid transactions within the block to the transaction nodes in the list of session nodes for verification, the method further comprises:
step S50A, if it is determined that the effective transaction verification in the block is successful by less than the first preset number of transaction nodes, the creation of the next block is blocked.
Step S50A is a parallel step of step S50, and if it is determined that the effective transaction verification in the block is successful by less than the first preset number of transaction nodes, the creation of the next block is blocked, and the block is operated according to the reason of the block verification failure.
In step S60A, if the block fails early, the valid transaction in the block is added to the next block, and the blocking status of the next block is deleted.
In embodiments of the present invention, if an early failure of a block occurs or sufficient response is not collected to determine if consensus has succeeded, then a valid transaction is added to the next block and the blocking state of the next block is deleted.
In step S70A, if the block fails in the late stage, the block is submitted again, and the blocking state of the next block is deleted after the successful commit.
In the embodiment of the invention, late failure occurs with low probability, generally indicates that enough response is received, but fails in updating the world state, only the block needs to be re-submitted at this time, and the active_blocking state is deleted after the successful submission to allow creation of the next block.
The embodiment of the invention provides a processing method of business data, which is used for blocking the creation of a next block when determining that effective transaction verification in the block is successful by less than a first preset number of transaction nodes, then operating the block according to the failure cause of the block, namely adding the effective transaction in the block into the next block if the block fails early, and deleting the blocking state of the next block; if the block fails in the late stage, the block is submitted again, and the blocking state of the next block is deleted after the successful submission.
Example IV
Referring to fig. 4, a method for processing service data in a fourth embodiment of the present invention is shown, and the method for processing service data in the present embodiment is different from the method for processing service data in the second embodiment in that: the step of transmitting the valid transactions in the block to the transaction nodes in the session node list for verification specifically includes:
Step 401, generating a unique random number for each transaction node in the session node list.
For each node in the list of session nodes it is ensured that it gets a unique random number in the range 1, ls being the length of the list of session nodes.
And step 402, transmitting the valid transactions in the block to a transaction node for security verification.
Specifically, when the valid transaction in the block is submitted to the transaction node for security verification, a randomly generated number (used for marking the present submission when there may be multiple submissions) is submitted at the same time, and the node needs to attach the random number for subsequent comparison when responding to the verification result. When enough responses are collected, the random numbers sent to the nodes are compared with the random numbers given when the nodes respond, and if the random numbers are consistent, the nodes are considered to complete verification on the appointed content. If not, it may be that multiple commit events have occurred and the response of the node needs to be discarded or ignored.
Step 403, detecting whether endorsements of valid transactions corresponding to the unique random number are received within a preset time.
In the embodiment of the invention, the transaction information of each node is sent to the transaction node selected randomly in the last step for transaction verification, the node responsible for verification cannot read the transaction content, the content is encrypted by an initiator, the verification node only verifies the necessary information such as the signature of the node, the validity of the contract and the like, and the endorsement of the node is obtained through the verified transaction.
Step 404, if the endorsement of the valid transaction corresponding to the unique random number is received within the preset time, it is determined that the valid transaction in the block is successfully verified by the transaction node.
In the embodiment provided by the invention, a unique random number is generated for each transaction node in the session node list, the effective transaction in the block is sent to the transaction node for security verification, and if the endorsement of the effective transaction corresponding to the unique random number is received within the preset time, the success of the transaction node in verifying the effective transaction in the block is determined. When the device initiates the transaction information, the local node verifies the transaction information, and the submission of the transaction is immediately rejected because the external attacker cannot provide legal certificates. In order to ensure that no illegal transaction exists in the whole network, a cross random verification mode is adopted, so that an attacker does not know whether the node for verifying the transaction is any node in the network, and cannot pass verification, and the data security is improved through the method and the device.
Example five
In another aspect, referring to fig. 5, a processing apparatus for service data according to a fifth embodiment of the present invention is provided, which may be applied to a blockchain system, where the processing apparatus for service data includes:
A first obtaining module 10, configured to obtain, at a preset time point, a distribution ratio and a distribution period of each relevant party of a current distribution rule;
A second obtaining module 20, configured to obtain service data in the allocation period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period;
a conversion module 30, configured to convert the service data into a total data amount according to a preset conversion rule;
An allocation module 40, configured to allocate the total data amount to the interested party according to the allocation proportion of each interested party;
the determining module 50 is configured to determine the latest allocation rule as a next allocation rule, and determine the preset time point according to the next allocation rule.
Specifically, the second obtaining module 20 includes:
an obtaining module 21, configured to obtain a block of valid transactions within a preset time period;
A construction module 22, configured to construct a session node list according to the valid transactions in the block, where each valid transaction is stored in the session node list with a corresponding transaction node;
a determining module 23, configured to determine a neighboring node according to the transaction node and add the neighboring node to the session node list if the number of the transaction nodes in the session node list is less than a preset security threshold, so that the number of the transaction nodes in the session node list is greater than or equal to the preset security threshold;
a verification module 24, configured to send the valid transactions in the block to the transaction nodes in the session node list for verification;
A submitting module 25, configured to submit the valid transaction of the block if it is determined that the valid transaction in the block is successfully verified by the transaction nodes with the number greater than or equal to the first preset number;
The acquiring module 21 is further configured to acquire service data of the valid transaction in the submitted block in the allocation period.
Specifically, the determining module 23 includes:
A selecting unit 231, configured to randomly select a second preset number of transaction nodes from the session node list;
And the sending unit 232 is configured to send a request for joining a session node list to a neighboring node of the selected transaction node, so that the neighboring node joins the session node list until the number of transaction nodes in the session node list is greater than or equal to the preset security threshold.
Specifically, the verification module 24 includes:
A generating unit 241, configured to generate a unique random number for each transaction node in the session node list;
a verification unit 242, configured to send the valid transaction in the block to the transaction node for security verification;
A detecting unit 243 for detecting whether an endorsement of a valid transaction corresponding to the unique random number is received within a preset time;
A determining unit 244, configured to determine that the valid transaction in the block is successfully verified by the transaction node if an endorsement of the valid transaction corresponding to the unique random number is received within the preset time.
Further, the device further comprises:
a blocking module 60, configured to block creation of a next block if it is determined that the valid transaction in the block is successfully verified by the transaction nodes smaller than the first preset number;
And the processing module 70 is configured to process the block according to the reason of the failure in commit of the block.
Specifically, the processing module 70 includes:
An add-delete unit 71 for adding a valid transaction in the block to the next block and deleting the blocking state of the next block if an early failure of the block occurs;
And a commit and delete unit 72, configured to commit the block again if the late failure of the block occurs, and delete the blocking state of the next block after the successful commit.
The functions or operation steps implemented when the above modules and units are executed are substantially the same as those in the above method embodiments, and are not described herein again.
In summary, the processing device for service data in this embodiment first obtains, at a preset time point, a distribution proportion and a distribution period of each relevant party of a current distribution rule; then obtaining service data in the distribution period; converting the business data into data total according to a preset conversion rule; and finally, distributing data total for the related party according to the distribution proportion of each related party, determining the latest distribution rule as the next distribution rule, and determining a preset time point according to the next distribution rule. The business data in the invention is verified data through the transaction nodes in the session node list, and the transaction nodes in the session node list are determined according to effective transactions in the distribution period, namely, the business data in the invention is verified and endorsed by different nodes, so that the effect of random cross-verification of transactions can be realized through the invention, the business data can reach consensus on a block chain more quickly, and the agreed business data is distributed and processed according to the distribution rule, namely, the business data is converted into data total and the data total is distributed for related parties, thereby ensuring the public transparency of business accounting and improving the processing efficiency of the business data through the invention.
Example six
In another aspect, referring to fig. 6, a computer device according to a fifth embodiment of the present invention includes a processor 10, a memory 20, and a computer program 30 stored in the memory and capable of running on the processor, where the processor 10 executes the method for processing service data described above when running the computer program 30.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor or other data processing chip for executing program code or processing data stored in the memory 20.
The memory 20 includes at least one type of readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 20 may in some embodiments be an internal storage unit of a computer device, such as a hard disk of the computer device. The memory 20 may also be an external storage device of the computer device, such as a plug-in hard disk provided on the computer device, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, in other embodiments. Further, the memory 20 may also include both internal storage units and external storage devices of the computer device. The memory 20 may be used not only for storing application software installed in a computer device and various types of data, but also for temporarily storing data that has been output or is to be output.
Optionally, the computer device may further comprise a user interface, which may comprise a Display (Display), an input unit such as a remote control, physical keys, etc., a network interface, a communication bus, etc., and may further comprise a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device and for displaying a visual user interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), typically used to establish a communication connection between the computer device and other robotics. The communication bus is used to enable connected communication between these components.
It should be noted that the structure shown in fig. 6 does not constitute a limitation of the computer device, and in other embodiments, the computer device may include fewer or more components than shown, or may combine certain components, or may have a different arrangement of components.
In summary, in the computer device in this embodiment, each new block is verified and endorsed by a different node, and when the number of transaction nodes is insufficient to verify the effective transaction in the block, the neighboring nodes of the transaction nodes are added together for verification, so that the effect of random cross-verification of the transaction can be realized by the invention, so that the data can form consensus on the blockchain more quickly, and the processing efficiency of the service data is improved.
The embodiment of the present invention also provides a storage medium on which is stored a computer program 30 for use in the above-mentioned computer device, which when executed by a processor, implements the above-mentioned method of processing service data.
The storage medium may be, but is not limited to, ROM/RAM, magnetic disk, optical disk, etc.
Those of skill in the art will appreciate that the logic and/or steps represented in the flow diagrams or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (7)
1. A method for processing service data, wherein the method is applied to a blockchain system, and the method comprises:
acquiring the distribution proportion and the distribution period of each relevant party of the current distribution rule at a preset time point;
Acquiring service data in the distribution period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period;
Converting the business data into data total according to a preset conversion rule;
Distributing the data total amount to the related parties according to the distribution proportion of the related parties, determining the latest distribution rule as a next distribution rule, and determining the preset time point according to the next distribution rule; the acquiring the service data in the allocation period includes:
acquiring a block of effective transaction within a preset time period;
constructing the session node list according to the effective transactions in the block, wherein the session node list stores transaction nodes corresponding to each effective transaction respectively;
If the number of the transaction nodes in the session node list is smaller than a preset safety threshold, determining neighbor nodes according to the transaction nodes and adding the neighbor nodes into the session node list so that the number of the transaction nodes in the session node list is larger than or equal to the preset safety threshold; comprising the following steps: randomly selecting a second preset number of transaction nodes from the session node list; sending a request for joining a session node list to neighbor nodes of the selected transaction node, so that the neighbor nodes join the session node list until the number of the transaction nodes in the session node list is greater than or equal to the preset security threshold;
Transmitting the valid transactions within the block to the transaction nodes in the session node list for verification, comprising: generating a unique random number for each of the transaction nodes in the list of session nodes; transmitting the effective transactions in the block to the transaction node for security verification; detecting whether endorsements of valid transactions corresponding to the unique random numbers are received within preset time; if endorsements of the effective transactions corresponding to the unique random numbers are received within the preset time, determining that the effective transactions in the blocks are successfully verified by the transaction nodes;
if the fact that the effective transaction in the block is successfully verified by the transaction nodes with the number larger than or equal to the first preset number is determined, submitting the effective transaction of the block;
and acquiring service data of the effective transaction in the submitted block in the allocation period.
2. The method for processing service data according to claim 1, wherein the method further comprises:
if the effective transaction verification in the block is successful by the transaction nodes smaller than the first preset number, the creation of the next block is blocked;
and processing the block according to the reason of the failure of the block submission.
3. The method for processing service data according to claim 2, wherein the processing the block according to the reason of the failure of the block to commit includes:
if the block fails early, adding the valid transaction in the block to the next block, and deleting the blocking state of the next block;
and if the block fails in the late stage, submitting the block again, and deleting the blocking state of the next block after the successful submitting.
4. The method for processing service data according to claim 1, wherein the method further comprises:
Receiving an allocation rule sent by any relevant party, wherein the allocation rule comprises allocation proportion and allocation period of each relevant party;
Detecting whether signature authentication of all the related parties on the distribution rule is received or not;
And if signature authentication of all the related parties on the distribution rule is received, the distribution rule and the writing time are correspondingly written into the blockchain system.
5. An apparatus for processing service data, the apparatus being applied to a blockchain system, the apparatus comprising:
The first acquisition module is used for acquiring the distribution proportion and the distribution period of each related party of the current distribution rule at a preset time point;
the second acquisition module is used for acquiring the service data in the distribution period; the service data is verified by transaction nodes in a session node list, and the transaction nodes in the session node list are determined according to effective transactions in the allocation period;
The conversion module is used for converting the service data into data total according to a preset conversion rule;
The allocation module is used for allocating the data total amount to the related parties according to the allocation proportion of the related parties;
The determining module is used for determining the latest allocation rule as a next allocation rule, and determining the preset time point according to the next allocation rule;
Wherein, the second acquisition module includes:
the acquisition module is used for acquiring the block of the effective transaction in the preset time period;
The construction module is used for constructing a session node list according to the effective transactions in the block, and transaction nodes corresponding to each effective transaction are stored in the session node list;
The determining module is used for determining neighbor nodes according to the transaction nodes and adding the neighbor nodes into the session node list if the number of the transaction nodes in the session node list is smaller than a preset safety threshold value, so that the number of the transaction nodes in the session node list is larger than or equal to the preset safety threshold value; the determining module includes: a selecting unit, configured to randomly select a second preset number of transaction nodes from the session node list; a sending unit, configured to send a request for joining a session node list to a neighboring node of the selected transaction node, so that the neighboring node joins the session node list until the number of transaction nodes in the session node list is greater than or equal to the preset security threshold;
The verification module is used for sending the effective transactions in the block to the transaction nodes in the session node list for verification; the verification module comprises: a generation unit, configured to generate a unique random number for each transaction node in the session node list; the verification unit is used for sending the effective transactions in the block to the transaction node for security verification; the detection unit is used for detecting whether endorsements of valid transactions corresponding to the unique random numbers are received within preset time; the determining unit is used for determining that the valid transaction in the block is successfully verified by the transaction node if the endorsement of the valid transaction corresponding to the unique random number is received within the preset time;
the submitting module is used for submitting the effective transaction of the block if the effective transaction in the block is successfully verified by the transaction nodes with the number larger than or equal to the first preset number;
The acquisition module is further configured to acquire service data of the valid transaction in the submitted block within the allocation period.
6. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer device performing the method of processing traffic data according to any one of claims 1-4 when the computer program is executed by the processor.
7. A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of processing service data according to any of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010789866.0A CN112102079B (en) | 2020-08-07 | 2020-08-07 | Service data processing method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010789866.0A CN112102079B (en) | 2020-08-07 | 2020-08-07 | Service data processing method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112102079A CN112102079A (en) | 2020-12-18 |
| CN112102079B true CN112102079B (en) | 2024-05-17 |
Family
ID=73752729
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010789866.0A Active CN112102079B (en) | 2020-08-07 | 2020-08-07 | Service data processing method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112102079B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113781230A (en) * | 2021-09-24 | 2021-12-10 | 支付宝(杭州)信息技术有限公司 | Transaction processing method and device based on block chain |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109191289A (en) * | 2018-07-18 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of copyright revenue distribution method and device based on block chain |
| CN109493203A (en) * | 2018-09-30 | 2019-03-19 | 咪咕文化科技有限公司 | A kind of data calculate method, apparatus and storage medium |
| WO2019192062A1 (en) * | 2018-04-04 | 2019-10-10 | 上海金丘信息科技股份有限公司 | Dynamic stake consensus method based on trusted members |
| KR20200013206A (en) * | 2018-07-29 | 2020-02-06 | 임장순 | Freight booking system and method based on blockchains |
| CN111008900A (en) * | 2019-12-06 | 2020-04-14 | 腾讯科技（深圳）有限公司 | Data distribution method and device based on intelligent contract |
| CN111406396A (en) * | 2017-11-27 | 2020-07-10 | 区块链控股有限公司 | Computer-implemented systems and methods for data propagation and communication in a network, such as a blockchain network |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030200165A1 (en) * | 2001-10-31 | 2003-10-23 | Nielsen Jens Perch | Method and computer system for administering investments made by an investor |
| US10417217B2 (en) * | 2016-08-05 | 2019-09-17 | Chicago Mercantile Exchange Inc. | Systems and methods for blockchain rule synchronization |
-
2020
- 2020-08-07 CN CN202010789866.0A patent/CN112102079B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111406396A (en) * | 2017-11-27 | 2020-07-10 | 区块链控股有限公司 | Computer-implemented systems and methods for data propagation and communication in a network, such as a blockchain network |
| WO2019192062A1 (en) * | 2018-04-04 | 2019-10-10 | 上海金丘信息科技股份有限公司 | Dynamic stake consensus method based on trusted members |
| CN109191289A (en) * | 2018-07-18 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of copyright revenue distribution method and device based on block chain |
| KR20200013206A (en) * | 2018-07-29 | 2020-02-06 | 임장순 | Freight booking system and method based on blockchains |
| CN109493203A (en) * | 2018-09-30 | 2019-03-19 | 咪咕文化科技有限公司 | A kind of data calculate method, apparatus and storage medium |
| CN111008900A (en) * | 2019-12-06 | 2020-04-14 | 腾讯科技（深圳）有限公司 | Data distribution method and device based on intelligent contract |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112102079A (en) | 2020-12-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110020860B (en) | Cross-chain asset transfer method, system and computer readable storage medium | |
| CN107392608B (en) | Block chain system-based digital asset transaction method and block chain system | |
| EP3779760B1 (en) | Blockchain-based data processing method and apparatus, and electronic device | |
| CN107464106A (en) | The method and system merchandised between block chain main chain and side chain | |
| CN112632629B (en) | Voting management method, device, medium and electronic equipment based on block chain | |
| CN110599173A (en) | Block chain consensus node determination method, device, equipment and storage medium | |
| CN110998631A (en) | Distributed account book technology | |
| CN109544982B (en) | Parking information sharing method and system | |
| CN113256297B (en) | Data processing method, device and equipment based on block chain and readable storage medium | |
| CN110535639A (en) | Block chain assets disposition method and relevant device based on more asset models | |
| Abbade et al. | Blockchain applied to vehicular odometers | |
| CN109993667A (en) | A kind of hotel management method, device and block chain node server | |
| CN110517145B (en) | Data transaction method based on multi-block chain and related equipment | |
| CN109617695A (en) | Voting method, device, electronic equipment and storage medium based on block chain | |
| CN110990790B (en) | Data processing method and equipment | |
| CN112102079B (en) | Service data processing method and device, computer equipment and storage medium | |
| CN113890739B (en) | Cross-blockchain authentication method and device, electronic equipment and medium | |
| KR102317656B1 (en) | Electronic vote record management system based on blockchain | |
| CN112948866A (en) | Data processing method, device and equipment and readable storage medium | |
| CN112102078B (en) | Block chain consensus calculation method, device, computer equipment and storage medium | |
| CN111008835B (en) | Method, apparatus, computer readable storage medium and computer program product for determining a transaction verification node of a blockchain | |
| CN110910091A (en) | Data processing method, device and medium | |
| Antal et al. | Distributed Ledger Technology Review and Decentralized Applications Development Guidelines. Future Internet 2021, 13, 62 | |
| CN110601834A (en) | Consensus method, device, equipment and readable storage medium | |
| CN117061089B (en) | Voting management method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |