Supply chain financial system data query optimization method and platform based on block chain

A financial system and data query technology, which is applied in the direction of electronic digital data processing, other database indexing, other database retrieval, etc., can solve the problem of low query efficiency in the financial system, and achieve the effect of alleviating financing difficulties

Pending Publication Date: 2020-05-19
CHINA ZHESHANG BANK
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a blockchain-based supply chain financial system data query optimization method and platform to solve the technical problem of low query efficiency in the existing blockchain-based supply chain financial system

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  • Supply chain financial system data query optimization method and platform based on block chain
  • Supply chain financial system data query optimization method and platform based on block chain
  • Supply chain financial system data query optimization method and platform based on block chain

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Embodiment Construction

[0027] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not intended to limit the present invention.

[0028] Due to the limitations of the current blockchain query performance, the supply chain financial system based on blockchain technology in practical applications uses a relational database as a supplement, which has a great impact on query performance and query flexibility .

[0029] Therefore, an embodiment of the present invention provides a blockchain-based method for optimizing data query in a supply chain financial system. figure 1 It is a schematic diagram of constructing a graph data structure model for business data by taking the account receivable scenario as an example in the method provided by the example of the present invention:

[0030] Obtain the e...

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Abstract

The invention discloses a supply chain financial system data query optimization method and platform based on a block chain. The method comprises the following steps: customer data, product data and product circulation data involved in a supply chain financial system are stored in a block chain; association relationship data between customers, between customers and products and between products areobtained and stored in a graph database; on one hand, the association relationship data can be inquired from the blockchain through the service identifier to ensure the credibility and traceability of the data in the graph database, and on the other hand, the graph database is utilized to calculate and analyze the basic association data by using different graph theory algorithms according to different service requirements to provide an efficient and diversified inquiry function. According to the method, the blockchain provides a primary key query function, and the graph database provides an association relationship query function, so that the flexibility and high efficiency of data query in an actual supply chain scene can be met, and the system data query capability is effectively improved.

Description

technical field [0001] The invention belongs to the fields of computer systems and block chains, and in particular relates to a block chain-based supply chain financial system data query optimization method and platform. Background technique [0002] Blockchain technology is multi-centered, traceable, and cannot be tampered with, and can provide credible and reliable ownership transfer records. "Blockchain + supply chain finance" has become an important solution to help companies alleviate financing difficulties and expensive financing. Program. Applying blockchain technology to the application system of supply chain financial scene design, considering the lack of blockchain query performance, generally chooses additional databases as supplements, and currently the most used ones are relational databases. In the supply chain financial scenario, most of the data involved are multi-level and diverse network structure data such as capital chain, logistics chain, and customer r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2457G06F16/2458G06F16/27G06F16/248G06F16/901
CPCG06F16/2457G06F16/2471G06F16/27G06F16/248G06F16/9024
Inventor 臧铖陈嘉俊钟礼斌张少鹏周林娜
Owner CHINA ZHESHANG BANK
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