基于FPGA SoC的网络控制模块多路数据采集系统

C. Rajasekaran, R. Jeyabharath, P. Veena
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引用次数: 8

摘要

通常,数据采集(DAQ)用于采集来自不同设备的信号,如传感器、换能器、执行器等。数据采集还用于对信号进行分析,对信号进行数字化处理,对不同输入的信号进行采集。数据采集系统的主要缺点是数据存储、硬件大小和远程监控。该系统采用片上系统现场可编程门阵列(SoC-FPGA),以减小硬件和存储器的体积。为了进一步通过以太网/Wi-Fi提供远程监控,网络控制模块(NCM)与数据采集和处理模块集成,用于系统之间的通信。该系统实现了高分辨率,减少了内存,减小了硬件尺寸,实现了快速的远程监控。用于数据采集和信号处理的实时处理。在容错性和可移植性方面,基于全系统可重构性的FPGA是最佳的解决方案,系统可以在不同的配置下重复使用。数据采集控制和后续的数据管理在LabVIEW中实现。利用LabVIEW工具设计和开发了一个四通道数据采集与处理(DAQP)单元。采用美国国家仪器数据采集系统(NIDAQ)和美国国家仪器现场可编程门阵列(NIFPGA)对设计进行了测试和实现,实现了实时处理。这是为了提供高精度,存储和便携性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA SoC Based Multichannel Data Acquisition System with Network Control Module
Normally, Data acquisition (DAQ) is used to acquire the signals from different devices like sensors, transducers, actuators etc. The data acquisition is also used to analyze the signals, digitizing the signals and acquiring the signals from different inputs. The main drawbacks in data acquisition system are data storage, hardware size and remote monitoring. The System-on-Chip Field Programmable Gate Array (SoC-FPGA) is used in the proposed system in the aim to reduce the hardware and memory size. Further to provide remote monitoring with Ethernet/Wi-Fi, the Network Control Module (NCM) is integrated with Data acquisition and processing module for the communication between the systems. This developed system achieves high resolution with memory reduction, reduced hardware size, fast remote monitoring and control. It is used for real time processing in DAQ and signal processing. For fault tolerance and portability, the full system reconfigurability based FPGA acts as the best solution and the system can be reused with different configurations. The control of data acquisition and the subsequent management of data are coded in LabVIEW. LabVIEW tool is used to design and develop a four-channel Data Acquisition and Processing (DAQP) unit. National Instruments Data Acquisition (NIDAQ) and National Instruments Field Programmable Gate Array (NIFPGA) are used to test and implement the design for real time processing. This is designed to provide high accuracy, storage and portability.
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