Abstract
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.
Highlights
The data acquisition and processing system has many applications in measurement and control systems
The presented customized NoC is implemented in Field Programmable Gate Arrays (FPGAs) and the results indicate that the area is reduced by 66%, when compared to the general-purpose networks
The multichannel data processing which when designed by an FPGA network control module, will reduce the hardware size and increase in reconfigurability
Summary
The data acquisition and processing system has many applications in measurement and control systems. A low-cost real-time application based on multi-channel Analog Signal Acquisition and Processing (ASAP) system is presented. Speed performance of new components and flexibility inherent of all programmable solutions give many opportunities in the field of digital implementation [12] for industrial control systems It starts with an overview of FPGA technology [13] development followed by a presentation of design methodologies, development tools and relevant CAD environments. Test results showed that the system meets the requirements of automation equipment maintenance, real-time monitoring and reliability It constituted a network of interconnected system on-site intelligent equipment’s, smart on-site equipment and control room devices, which adapts the control system to the intelligent, network-based and decentralized development but the performance and speed of the device is low. The hardware real-time adaptive sampling is the best way to optimize the ADC sampling rate in case of input signals with different bandwidths and reduces the overall sampling rate
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