Hardware-agnostic framework for general-purpose data acquisition systems

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-08-04 DOI:10.1016/j.measurement.2025.118528

Grzegorz Korcyl , Maciej Bakalarek , Paweł Moskal

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引用次数: 0

Abstract

Modern data acquisition systems in physics experiments of various scales rely heavily on precise time synchronization of electronic components used for digitizing analog signals generated by detectors. Scientific collaborations often develop custom, in-house solutions designed for particular use cases that form ecosystems of compatible hardware platforms, protocols, and standards.

In this work, we present and evaluate a set of gateware and software components that enable the implementation of complete data acquisition systems with synchronization, data transport, and control functionalities over multi-gigabit transceivers. The components can be organized to form a logical system structure, including the master, data concentrators, and endpoint modules, on virtually any hardware platform equipped with a Field-Programmable Gate Array with an exposed transceiver. The system allows for a rapid deployment of complete measurement systems with facilitated integration of new elements on both commercially available and custom-designed platforms.

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通用数据采集系统的硬件无关框架

现代物理实验数据采集系统在很大程度上依赖于探测器产生的模拟信号数字化电子元件的精确时间同步。科学合作经常开发定制的内部解决方案，这些解决方案是为形成兼容硬件平台、协议和标准的生态系统的特定用例而设计的。在这项工作中，我们提出并评估了一组网关软件和软件组件，这些组件能够实现具有同步、数据传输和控制功能的完整数据采集系统。这些组件可以组织成一个逻辑系统结构，包括主模块、数据集中器和端点模块，几乎可以在任何硬件平台上使用带有外露收发器的现场可编程门阵列。该系统允许快速部署完整的测量系统，并在商业可用和定制设计的平台上促进新元件的集成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.