CN-122020662-A - Data flow management and optimization system and method integrating AI trusted data space

CN122020662ACN 122020662 ACN122020662 ACN 122020662ACN-122020662-A

Abstract

The invention relates to the technical field of data management and circulation, in particular to a data circulation management and optimization system and method integrating an AI trusted data space, which solves the problems of insufficient data value release and low compliance adaptation efficiency caused by the lack of intelligent collaborative optimization and dynamic trust management on a circulation full link due to the fact that a data circulation scheme focuses on single-point privacy protection or static transaction, and comprises a trusted data core layer, an AI driving optimization layer and an application interface layer, wherein the trusted data core layer is used for carrying out asset packaging on data participating in circulation, carrying out unified identity authentication and access control based on distributed digital identity DID and carrying out evidence storage audit on the circulation full link based on a block chain. The invention realizes the cooperative enhancement of data circulation in two dimensions of safety, reliability and intelligence and high efficiency by embedding the intelligent evaluation, matching and planning capabilities into the trusted base formed by unified identity and strategy execution and full-link certificate storage.

Inventors

YANG FAN
WAN ZHAOYANG
WANG FENGRONG
LI JINHE
SUN XUELIAN
XU CHENGYI
Cui Qiongxiang
CHEN SHUYANG
FAN CHUNLIN
HE CHUNXIA

Assignees

中德高路科技(云南)股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (9)

1. The data flow management and optimization system integrating the AI trusted data space is characterized by comprising a trusted data core layer, an AI driving optimization layer and an application interface layer; The trusted data core layer is used for carrying out asset packaging on data participating in circulation, carrying out unified identity authentication and access control based on distributed digital identity DID, and carrying out evidence storage audit on a circulation full link based on a blockchain; The AI driving optimization layer is coupled with the trusted data core layer and is used for intelligently evaluating, matching and scheduling the data circulation process in the trusted data core layer based on an artificial intelligent model; The application interface layer is used for providing a standardized interface for calling the trusted data core layer and the AI driving optimization layer service to the outside.
2. The system for managing and optimizing data flow in a converged AI trusted data space of claim 1, wherein the AI-driven optimization layer includes an intelligent data quality assessment and pricing model, a supply and demand intelligent matching and recommendation module, a dynamic flow path optimization module, and a compliance automation check and early warning module, The intelligent data quality assessment and pricing model is used for dynamically generating a data quality score and a circulation reference price through a machine learning model based on multidimensional characteristics of data; the intelligent matching and recommending module is used for matching the demand description of the demand party with the asset data of the data provider through natural language processing and semantic vector retrieval, and outputting a recommending scheme.
3. The system for managing and optimizing data flow in a fused AI trusted data space according to claim 2, wherein the dynamic flow path optimizing module is configured to model a data flow task as an optimizing problem, and to utilize an optimizing algorithm to plan an optimal privacy computing task execution path and a resource scheduling policy based on a real-time resource state and constraint conditions; And the compliance automatic checking and early warning module is used for comparing the data circulation strategy with a preset rule knowledge base in real time and identifying potential compliance risks to send out early warning.
4. A data flow management and optimization method of a data flow management and optimization system incorporating AI trusted data space as claimed in any one of claims 1-3, comprising the steps of: s1, data is subjected to asset and trusted access, and a data provider completes data asset packaging and access through the trusted data core layer; s2, intelligent demand release and matching, wherein a data demand party releases circulation demands through the application interface layer, and intelligent matching and scheme recommendation are performed by the AI driving optimization layer; S3, generating negotiation and intelligent contract, and starting a circulation task in the trusted data core layer according to the intelligent contract after the negotiation is agreed; s4, planning and executing an AI optimized flow path, and planning and driving an optimal flow path by the AI driving optimization layer; S5, overall process monitoring, certification and dynamic tuning, wherein in the execution process of the step S5, the system continuously monitors performance indexes and compliance states, and an AI optimizer can finely tune calculation parameters or paths according to real-time feedback, and all key steps and results are certification and chained; And S6, result delivery, settlement and feedback are closed, the result is delivered after the task is completed, the settlement is completed, and feedback data are used for optimizing the model of the AI driving optimization layer.
5. The method for data flow management and optimization of a data flow management and optimization system for merging AI trusted data spaces of claim 4, wherein said intelligent matching and scheme recommendation in step S2 further comprises the steps of: S2.1, carrying out semantic analysis on natural language description of a demand party by utilizing natural language processing and knowledge graph technology to generate a structured query intention; s2.2, vector similarity calculation is carried out on the query intention and the data asset catalogue, and data assets with high matching degree are retrieved; And S2.3, generating a recommended scheme containing one or more data source combinations by integrating the data quality, the price and the applicable scene information.
6. The method for data flow management and optimization of a data flow management and optimization system that merges AI trusted data space of claim 4, wherein the flow path planning and execution in step S4 further comprises the steps of: S4.1, selecting one or more privacy computing technology combinations according to the type of the circulation task, the data use strategy and the resource condition of the participating nodes; S4.2, solving the optimal task topology and scheduling sequence by taking at least one of task completion efficiency, resource consumption cost and privacy protection strength as an optimization target; and S4.3, dynamically adjusting calculation parameters or communication strategies according to real-time performance feedback in task execution.
7. The method for data flow management and optimization of a system for data flow management and optimization of AI-trusted data space as claimed in claim 4, wherein in step S5, performance index and compliance status data are continuously collected during execution of a flow task and fed back to the AI-driven optimization layer for real-time fine-tuning of the task parameters being executed.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, characterized in that the processor implements the steps of the method according to any of claims 4 to 7 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 4 to 7.

Description

Data flow management and optimization system and method integrating AI trusted data space Technical Field The invention relates to the technical field of data management and circulation, in particular to a data circulation management and optimization system and method integrating an AI trusted data space. Background The data space is used as a novel technical framework for supporting the trusted sharing and collaborative computing of data, and aims to construct a safe and controllable data circulation environment among mutually-untrusted participants through unified rules, standards and technical components. The existing data circulation scheme focuses on single-point privacy protection or static transaction, lacks intelligent collaborative optimization and dynamic trust management on circulation full links, causes insufficient data value release and low compliance adaptation efficiency, and therefore does not meet the existing requirements, and a data circulation management and optimization system and method integrating AI trusted data space are provided. Disclosure of Invention The invention aims to provide a data circulation management and optimization system and method for fusing an AI trusted data space, so as to solve the problems of insufficient data value release, low compliance and adaptation efficiency and the like caused by the lack of intelligent collaborative optimization and dynamic trust management on a circulation full link because a data circulation scheme provided in the background art focuses on single-point privacy protection or static transaction. The data flow management and optimization system and method integrating the AI trusted data space comprises a trusted data core layer, an AI driving optimization layer and an application interface layer; The trusted data core layer is used for carrying out asset packaging on data participating in circulation, carrying out unified identity authentication and access control based on distributed digital identity DID, and carrying out evidence storage audit on a circulation full link based on a blockchain; The AI driving optimization layer is coupled with the trusted data core layer and is used for intelligently evaluating, matching and scheduling the data circulation process in the trusted data core layer based on an artificial intelligent model; The application interface layer is used for providing a standardized interface for calling the trusted data core layer and the AI driving optimization layer service to the outside. Preferably, the AI-driven optimization layer comprises an intelligent data quality assessment and pricing model, a supply and demand intelligent matching and recommending module, a dynamic flow path optimization module and a compliance automation check and early warning module, The intelligent data quality assessment and pricing model is used for dynamically generating a data quality score and a circulation reference price through a machine learning model based on multidimensional characteristics of data; the intelligent matching and recommending module is used for matching the demand description of the demand party with the asset data of the data provider through natural language processing and semantic vector retrieval, and outputting a recommending scheme. Preferably, the dynamic flow path optimizing module is configured to model a data flow task as an optimizing problem, and plan an optimal privacy computing task execution path and a resource scheduling policy by using an optimizing algorithm based on a real-time resource state and a constraint condition; And the compliance automatic checking and early warning module is used for comparing the data circulation strategy with a preset rule knowledge base in real time and identifying potential compliance risks to send out early warning. A data flow management and optimization method of a data flow management and optimization system integrating AI trusted data space comprises the following steps: s1, data is subjected to asset and trusted access, and a data provider completes data asset packaging and access through the trusted data core layer; s2, intelligent demand release and matching, wherein a data demand party releases circulation demands through the application interface layer, and intelligent matching and scheme recommendation are performed by the AI driving optimization layer; S3, generating negotiation and intelligent contract, and starting a circulation task in the trusted data core layer according to the intelligent contract after the negotiation is agreed; s4, planning and executing an AI optimized flow path, and planning and driving an optimal flow path by the AI driving optimization layer; S5, overall process monitoring, certification and dynamic tuning, wherein in the execution process of the step S5, the system continuously monitors performance indexes and compliance states, and an AI optimizer can finely tune calculation parameters or paths according to real-ti