Credit data storage method and device, computer equipment and storage medium

Abstract

The invention discloses a credit data storage method, a credit data storage device, computer equipment and a storage medium. The method comprises the steps of newly constructing a block when detectingthat credit information is transferred to a block chain, and writing the credit information into the newly constructed block to obtain a current block chain; if a credit query request is detected, sending the credit query request to each block of the current block chain; enabling each block in the current block chain to correspondingly execute a smart contract for the credit query request to obtain an execution result, and sending the execution result to another newly constructed block; verifying the newly constructed block through each block in the current block chain to judge whether the newly constructed block conforms to an endorsement strategy; and if the newly constructed block conforms to the endorsement strategy, adding the another newly constructed block into the current block chain. With the method, the effects that the data size of the collected credit information is large, the correlation is relatively high and the data cannot be tampered are implemented, and the accuracyof the credit information is guaranteed.

Description

technical field [0001] The present application relates to the technical field of credit information systems, and in particular to a credit information data storage method, device, computer equipment, and storage medium. Background technique [0002] At present, although a large number of enterprises try to obtain a large amount of user information from various dimensions, from the perspective of credit investigation, these data still have the following problems: [0003] 1) Insufficient data volume: The larger the data volume, the higher the value that can be obtained, but there is a lower limit for the effective value generated by the data, and the data volume below the lower limit cannot generate effective value; [0004] 2) Poor correlation: The most core data is often the most sensitive. In today's highly privacy-sensitive world, users do not want to expose too much data to third parties, so the effective components of the data obtained by enterprises are actually very f...

AI Technical Summary

Problems solved by technology

[0006] The present application provides a credit data storage method, device, computer equipment and storage medium, aiming to solve the problems of insufficient data volume, poor correlation and insufficient timeliness of credit data in the prior art

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