scholarly journals A Wide Dynamic Range Neural Data Acquisition System with High-Precision Delta-Sigma ADC and On-Chip EC-PC Spike Processor

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Jian Xu ◽  
Anh Tuan Nguyen ◽  
Tong Wu ◽  
Wenfeng Zhao ◽  
Diu Khue Luu ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Precision ◽  
Dynamic Range ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Wide Dynamic Range ◽  
Neural Data ◽  
Delta Sigma ◽  
On Chip

scholarly journals Development of a distributed hybrid seismic–electrical data acquisition system based on the Narrowband Internet of Things (NB-IoT) technology

2019 ◽  
Vol 8 (2) ◽  
pp. 177-186 ◽  
Author(s):  
Wenhao Li ◽  
Qisheng Zhang ◽  
Qimao Zhang ◽  
Feng Guo ◽  
Shuaiqing Qiao ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
High Precision ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Geophysical Prospecting ◽  
Long Distance ◽  
Data Acquisition Board ◽  
Acquisition Processes ◽  
Electrical Data

Abstract. The ambiguity of geophysical inversions, which is based on a single geophysical method, is a long-standing problem in geophysical exploration. Therefore, multi-method geophysical prospecting has become a popular topic. In multi-method geophysical prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic–electric data acquisition that form the base for multi-method geophysical prospecting techniques have not yet been explored in detail. In this work, we developed a distributed, high-precision, hybrid seismic–electrical data acquisition system using advanced Narrowband Internet of Things (NB-IoT) technology. The system was equipped with a hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array, an advanced RISC machine, and host software. The data acquisition board used an ADS1278 24 bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples per second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz at 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between the control center and the data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and it was functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic–electrical technologies and promote the use of IoT technologies in geophysical instrumentation.

The Interface Design of TMS320C6713 and AD7679

2014 ◽  
Vol 800-801 ◽  
pp. 741-744
Author(s):  
Zhi Dong Wu ◽  
You Zheng Cui ◽  
Di Pan
Keyword(s):  
Data Acquisition ◽  
High Precision ◽  
Software Design ◽  
Interface Design ◽  
High Speed ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Specific Function ◽  
Interface Circuit

In order to meet the demands of the high precision and high speed, the interface design of TMS320C6713 and AD7679 is widely used in data acquisition system. In this paper, the interface design of TMS320C6713 and AD7679 is introduced, including the design of the interface circuit and the software design of the interface. The configuration of every register of McBSP is also expounded, including configuration method and specific function.

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