Data verification method and system based on block chains

A data verification and blockchain technology, applied in data processing applications, structured data retrieval, database distribution/replication, etc., can solve problems such as inefficiency, time wasting, time wasting, etc., to ensure stability and improve calibration The effect of improving verification efficiency and saving retrieval and verification time

Active Publication Date: 2019-11-19
本无链科技(深圳)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional method of verifying data needs to verify the correctness of the data one by one, which often wastes a lot of time in useless retrieval work, which is inefficient, and now the statistics of transaction data often need to be processed by time and by type. If the data verification range cannot be accurately and effectively determined, a lot of time will be wasted

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  • Data verification method and system based on block chains
  • Data verification method and system based on block chains
  • Data verification method and system based on block chains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Such as image 3 , Figure 4 As shown, in the statistical verification process of Shuangseqiu lottery data, an average of 100 million bets are sold a day, which can be understood as adding 100 million pieces of data a day. If you want to verify whether there is any problem with yesterday’s data, you need to verify 100 million piece of data, which consumes a lot of time. In order to solve this problem, the concept of a chain link is designed, that is, when the last piece of data was generated yesterday, a lock is generated, and the unique identification code of this lock is determined by the unique identification code of the first record and the last record using the identification code Generate module generation.

[0049] After the node reads the lottery transaction data A through the data reading module, it uses the identification code generation module to generate a unique identification code corresponding to the lottery transaction data A. In the subsequent process...

Embodiment 2

[0052] Such as Figure 5As shown, also taking the double-color ball data verification as an example, adding 100 million pieces of data every day, then there are 36.5 billion pieces of data in a year. If the data of last year is verified this year, then 36.5 billion pieces of data need to be checked. Consumption can be huge. In order to solve this problem, the concept of the chain column is designed, which is based on the chain link. Every day's data generates a chain link model data. From the second day onwards, the generation of the unique identification code of the first piece of data every day includes The unique identification code of the previous day’s lock, starting from the next day, the generation of daily locks needs to include not only the unique identification codes of the first and last item of the day, but also the unique identification code of the previous day’s lock, so that Between the daily locks a chain of new dimensions is formed, the so-called stem.

[00...

Embodiment 3

[0056] Such as Figure 6 As shown, regarding the two-dimensional chain, it is a new chain derived from the chain column scenario. The chain column is suitable for the scene where the past data does not change, but the past data may also need to be modified in the mixed scene according to time and business. Then Just can't adopt chain link and chain post, the generation of chain also can't have chain first and then have stem, but needs to be designed to have stem first and then have chain.

[0057] Taking clothing production as an example, different types of clothing will form a stem, such as a chain of autumn clothes, a chain of summer clothes, etc. They form a two-dimensional chain, and the chain of the second dimension linking these multiple chains is used as A stem, the plurality of data groups are regarded as a plurality of chain pillars, the bottom layer of the chain pillars contains locks, and the locks contain unique identification codes, and data stems are formed betwe...

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Abstract

The invention discloses a data verification method and system based on block chains and the method comprises the steps: employing a chain ring, a chain column and a two-dimensional chain model to verify the correctness of data, and employing the two-dimensional chain model to verify the data of a corresponding type when the to-be-verified data has a classification condition; verifying by adoptinga chain column model, namely verifying the correctness of the unique identification code of the last lock catch of the chain column, and verifying the correctness of the unique characteristic codes ofthe lock catches on the chain column stem forwards in sequence; when the correctness of the link data needs to be checked, checking the correctness of the unique identification code of the link lockcatch; generating the unique identification code of the lock catch by the unique identification code of the first record and the unique identification code of the last record. Accurate, rapid and effective data verification can be realized through the design of the chain ring, the chain column and the two-dimensional chain, and the data verification efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of block chains, in particular to a data verification method and system based on block chains. Background technique [0002] Blockchain uses block chain data structure to verify and store data, uses distributed node consensus algorithm to generate and update data, uses cryptography to ensure the security of data transmission and access, and uses smart contracts composed of automated script codes A new distributed infrastructure and computing method to program and manipulate data. [0003] The traditional method of verifying data needs to verify the correctness of the data one by one, which often wastes a lot of time in useless retrieval work, which is inefficient, and now the statistics of transaction data often need to be processed by time and by type. If the data verification range cannot be accurately and effectively determined, a lot of time will be wasted. [0004] Based on this, how to realize data v...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06F16/27G06Q40/04
CPCG06Q40/04
Inventor杨税令
Owner本无链科技(深圳)有限公司