CN-122023004-A - Method, device, equipment and medium for monitoring resource transaction

CN122023004ACN 122023004 ACN122023004 ACN 122023004ACN-122023004-A

Abstract

The invention discloses a method, a device, equipment and a medium for monitoring resource transactions, and relates to the technical field of financial science and technology. The method comprises the steps of obtaining resource quotation data provided by an intermediate party and historical transaction data provided by a transaction platform party, wherein the resource quotation data comprise target resource description data, initial quotation data and asset credential data of the intermediate party, verifying qualification of the intermediate party according to the asset credential data in the resource quotation data, performing abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, determining target quotation data according to a qualification verification result and an abnormal fluctuation verification result, forming a resource transaction request based on the target quotation data, and reporting the resource transaction request to a blockchain layer so that the blockchain layer carries out transaction processing according to the resource transaction request. By the technical scheme, near-real-time pricing updating can be realized, and the efficiency and accuracy of the pricing process are improved.

Inventors

CHEN LINGXIAO

Assignees

中国工商银行股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260213

Claims (10)

1. A method for monitoring a resource transaction, comprising: The method comprises the steps of obtaining resource quotation data and historical transaction data, wherein the resource quotation data is provided by an intermediate party and comprises target resource description data, initial quotation data and asset credential data of the intermediate party, and the historical transaction data is provided by a transaction platform party and is historical transaction data associated with target resources; Verifying the qualification of the intermediate party according to the asset credential data in the resource quotation data, performing abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, and determining target quotation data corresponding to the initial quotation data in the resource quotation data according to a qualification verification result and an abnormal fluctuation verification result; And forming a resource transaction request based on the target quotation data, and reporting the resource transaction request to a blockchain layer so that the blockchain layer carries out transaction processing according to the resource transaction request.
2. The method of claim 1, wherein said performing abnormal fluctuation verification on said initial offer data and said historical transaction data based on said target resource description data comprises: Cooperatively calculating a first consistency score corresponding to the historical transaction data and a second consistency score corresponding to the initial quotation data according to the target resource description data; Performing confidence calculation on the historical transaction data based on a preset abnormal volatility quantization algorithm and the first consistency score, and determining a first confidence score corresponding to the historical transaction data; and carrying out confidence calculation on the initial quotation data based on a preset abnormal fluctuation quantization algorithm and the second consistency score, and determining a second confidence score corresponding to the initial quotation data.
3. The method of claim 2, wherein the cooperatively calculating a first consistency score corresponding to the historical transaction data and a second consistency score corresponding to the initial bid data from the target resource description data comprises: carrying out fluctuation consistency verification on the historical transaction data according to the target resource description data and the initial quotation data under a secure multiparty computing protocol, and determining a first consistency score corresponding to the historical transaction data; And carrying out fluctuation consistency verification on the initial quotation data according to the target resource description data and the historical transaction data under a secure multiparty computing protocol, and determining a second consistency score corresponding to the initial quotation data.
4. The method of claim 2, wherein the performing a confidence calculation on the historical transaction data based on a preset abnormal volatility quantization algorithm and the first consistency score, determining a first confidence score corresponding to the historical transaction data, comprises: performing weight analysis on the historical transaction data based on a preset Bayesian detection algorithm to obtain a first reputation weight corresponding to the historical transaction data; comprehensively processing the first consistency score and the first reputation weight to obtain a first confidence score corresponding to the historical transaction data; Correspondingly, the calculating the confidence coefficient of the initial quotation data based on the preset abnormal fluctuation quantization algorithm and the second consistency score, and determining the second confidence coefficient score corresponding to the initial quotation data, includes: Performing weight analysis on the initial quotation data based on a preset Bayesian detection algorithm to obtain a second reputation weight corresponding to the initial quotation data; and comprehensively processing the second consistency score and the second reputation weight to obtain a second confidence score corresponding to the initial quotation data.
5. The method according to claim 1, wherein determining target bid data corresponding to initial bid data in the resource bid data according to a qualification verification result and an abnormal fluctuation verification result comprises: Judging whether to start a target quotation data generation flow or not according to a preset target quotation start rule to obtain a judging result; And carrying out data screening on the historical transaction data and the initial quotation data based on the judging result, the abnormal fluctuation verification result and a preset weighted median algorithm, and determining target quotation data corresponding to the initial quotation data in the resource quotation data.
6. The method of claim 5, wherein the data filtering the historical transaction data and the initial bid data based on the determination result, the abnormal fluctuation verification result, and a preset weighted median algorithm, and determining target bid data corresponding to the initial bid data in the resource bid data comprises: determining a first adjustment weight corresponding to the historical transaction data and a second adjustment weight corresponding to the initial quotation data based on the judging result, the abnormal fluctuation verification result and the standard mortgage quantity set; And screening target quotation data corresponding to initial quotation data in the resource quotation data meeting a preset weighted median algorithm from the historical transaction data and the initial quotation data based on the first adjustment weight and the second adjustment weight.
7. A monitoring device for a resource transaction, comprising: The system comprises a data acquisition module, a transaction platform side, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring resource quotation data and historical transaction data, the resource quotation data is provided by an intermediate side and comprises target resource description data, initial quotation data and asset credential data of the intermediate side, and the historical transaction data is provided by the transaction platform side and is historical transaction data associated with target resources; The quotation generating module is used for verifying the qualification of the intermediate party according to the asset credential data in the resource quotation data, carrying out abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, and determining target quotation data corresponding to the initial quotation data in the resource quotation data according to a qualification verification result and an abnormal fluctuation verification result; And the transaction request module is used for forming a resource transaction request based on the target quotation data and reporting the resource transaction request to the blockchain layer so that the blockchain layer carries out transaction processing according to the resource transaction request.
8. An electronic device, the electronic device comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of monitoring resource transactions of any one of claims 1-6.
9. A computer readable storage medium storing computer instructions for causing a processor to perform the method of monitoring a resource transaction according to any one of claims 1-6.
10. A computer program product comprising a computer program which, when executed by a processor, implements a method of monitoring a resource transaction according to any of claims 1-6.

Description

Method, device, equipment and medium for monitoring resource transaction Technical Field The present invention relates to the technical field of financial science and technology, and in particular, to a method, an apparatus, a device, and a medium for monitoring resource transactions. Background With the deep convergence of blockchain technology and decentralised finance, on-chain transactions of real world assets have become an important trend to remodel financial market infrastructure. Therefore, the construction of a dynamic pricing predictor system capable of safely, reliably and efficiently mapping the under-chain values onto chains is a foundation for guaranteeing the stability and risk resistance of a financial system. In the prior art, real world assets are often priced using traditional prophetic machine architecture. However, in a real world asset scenario, the existing predictors generally suffer from single data source dependency and under-chain validation failure due to the inability of the data provider to provide data authenticity and integrity to be validated through simple application programming interface calls. Second, the secondary market liquidity is greatly compromised by the significant delay introduced by the need for the traditional predictive framework to wait for an acknowledgement by the under-chain authority. In addition, the existing predictor architecture generally adopts simple mean value calculation to process heterogeneous data, and the simple mean value calculation can introduce significant distortion, so that the accuracy of pricing results is reduced. Therefore, how to price real world assets in real time on the premise of protecting business privacy and participant safety, and improving pricing efficiency and accuracy are the problems to be solved at present. Disclosure of Invention The invention provides a method, a device, equipment and a medium for monitoring resource transaction, which can solve the problem that the pricing efficiency and the verification reliability of real world assets are difficult to be compatible. According to an aspect of the present invention, there is provided a method for monitoring a resource transaction, including: The method comprises the steps of obtaining resource quotation data and historical transaction data, wherein the resource quotation data is provided by an intermediate party and comprises target resource description data, initial quotation data and asset credential data of the intermediate party, and the historical transaction data is provided by a transaction platform party and is historical transaction data associated with target resources; Verifying the qualification of the intermediate party according to the asset credential data in the resource quotation data, performing abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, and determining target quotation data corresponding to the initial quotation data in the resource quotation data according to a qualification verification result and an abnormal fluctuation verification result; And forming a resource transaction request based on the target quotation data, and reporting the resource transaction request to a blockchain layer so that the blockchain layer carries out transaction processing according to the resource transaction request. According to another aspect of the present invention, there is provided a monitoring apparatus for resource transactions, comprising: The system comprises a data acquisition module, a transaction platform side, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring resource quotation data and historical transaction data, the resource quotation data is provided by an intermediate side and comprises target resource description data, initial quotation data and asset credential data of the intermediate side, and the historical transaction data is provided by the transaction platform side and is historical transaction data associated with target resources; The quotation generating module is used for verifying the qualification of the intermediate party according to the asset credential data in the resource quotation data, carrying out abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, and determining target quotation data corresponding to the initial quotation data in the resource quotation data according to a qualification verification result and an abnormal fluctuation verification result; And the transaction request module is used for forming a resource transaction request based on the target quotation data and reporting the resource transaction request to the blockchain layer so that the blockchain layer carries out transaction processing according to the resource transaction request. Accordin