16-channel high-precision synchronous data acquisition system based on multi-parameter model

By deeply coupling multi-parameter model-driven, adaptive scheduling, closed-loop compensation, and collaborative optimization, the hardware synchronization limitations of multi-channel data acquisition systems are solved, achieving high-precision, low-cost, and flexible data acquisition, and improving system performance and adaptability.

CN121596797APending Publication Date: 2026-03-03NANYANG INST OF TECH
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Patent Information

Application Number
CN202511808709.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-03
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing multi-channel data acquisition systems are limited by hardware synchronization schemes, resulting in high costs, poor scalability, insufficient dynamic error compensation, lack of collaborative optimization between channels, and inability to adaptively adjust parameter configurations, leading to a decline in synchronization accuracy and data quality.

Method used

A 16-channel high-precision synchronous data acquisition system based on a multi-parameter model is adopted. Through the deep coupling of the multi-parameter model driving module, the adaptive channel scheduling module, the closed-loop calibration and compensation module, and the collaborative synchronization optimization module, dynamic optimization and adaptive adjustment are achieved, and a collaborative mechanism and closed-loop feedback loop between channels are established.

Benefits of technology

It significantly improves synchronization accuracy and data quality, reduces hardware costs, enhances system flexibility and long-term stability, and achieves a non-linear growth effect of 1+1>2.

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Abstract

The invention discloses a 16-channel high-precision synchronous data acquisition system based on a multi-parameter model, which belongs to the technical field of data acquisition and comprises a multi-parameter model driving module, a self-adaptive channel scheduling module, a closed-loop calibration compensation module and a collaborative synchronous optimization module. The multi-parameter model driving module establishes a multi-dimensional optimization model fusing the sampling rate, the channel load and the error trend to output optimization parameters; the adaptive channel scheduling module performs real-time quality evaluation and dynamic resource allocation according to the optimization parameters to generate a scheduling instruction; the closed-loop calibration compensation module monitors a synchronization error in real time and calculates a compensation parameter; the collaborative synchronous optimization module realizes inter-channel parameter sharing and collaborative control to generate a synchronous control signal, and feeds back an optimization result to the multi-parameter model driving module to form a closed loop, and through deep coupling and closed loop feedback of the four modules, high-precision synchronization of multi-channel data acquisition is realized, and the synchronization precision reaches + / -35ns.
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