Test equipment data synchronization processing method and system

By building a port data association graph and causal relationship model, and optimizing data synchronization strategy using graph neural network and self-attention mechanism, the problem of unstable data synchronization accuracy of multi-port test equipment is solved, high-precision data synchronization and fusion are achieved, and the intelligence level of test equipment is improved.

CN119892286AActive Publication Date: 2025-04-25SHENZHEN MICROTEST AUTOMATION CO LTD
3 Cites 8 Cited by

Patent Information

Application Number
CN202510355074.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-25
Publication Date
2025-04-25
Estimated Expiration
2045-03-25

AI Technical Summary

Technical Problem

Existing multi-port testing equipment lacks adaptive optimization capabilities in data synchronization strategies, resulting in unstable data alignment accuracy and difficulty in dynamically adjusting synchronization strategies, affecting the accuracy of data fusion and subsequent analysis.

Method used

By constructing a port data association graph, determining the connection relationship between ports based on the time-varying adjacency matrix, using the graph neural network to extract port data characterization, and optimizing the data synchronization strategy; building a causal relationship model, analyzing the influencing factors of data synchronization error, identifying the propagation path of data deviation between ports, calculating the data drift amount, and optimizing the synchronization window based on causal inference to correct data drift; time alignment of port data is constructed, a unified time scale is used, and modal key information is extracted based on feature encoding, and cross-modal data association is determined using a self-attention mechanism to optimize feature matching between ports.

Benefits of technology

It realizes dynamic adjustment of data synchronization parameters, reduces data drift errors, improves high-precision synchronous alignment and fusion of port data, improves data consistency, provides high-quality data input for data analysis, abnormal detection and prediction of test equipment, and improves the stability and intelligence level of test equipment.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a test equipment data synchronization processing method and system, particularly relates to the technical field of data synchronization, and is used for solving the problem of insufficient adaptive optimization of data synchronization. The method comprises the following steps: constructing a port data association graph, optimizing a connection relationship between ports based on a time-varying adjacency matrix, extracting port data representation by using a graph neural network, optimizing a data synchronization strategy, analyzing influence factors of a data synchronization error based on a causal relationship model, identifying a propagation path of data deviation between the ports, and calculating a data drift amount. The method comprises the following steps: optimizing a synchronization window by using causal inference, correcting data drift, constructing a unified time scale, extracting modal information based on feature coding, modeling cross-modal data association by using a self-attention mechanism, optimizing feature matching between ports, improving the precision of data fusion, and realizing high-precision synchronous alignment and fusion of port data. And higher-quality data input is provided for data analysis and anomaly detection of test equipment.
Need to check novelty before this filing date? Find Prior Art