9-15 June 2018
Woodlands Conference Center
America/New_York timezone
**** See you at Real Time 2020 ****

A low power DAQ system with high-speed storage for submersible buoy

14 Jun 2018, 14:35
1h 30m
Woodlands Conference Center

Woodlands Conference Center

159 Visitor Center Dr, Williamsburg, VA 23185
Poster presentation Data Acquisition Poster 2


ZhiLei Zhang (University of Science and Technology of China)


Submersible Buoy (SB) is an important apparatus capable of long-term, fixed-point, continuous and multi-directional measurement of acoustic signals and hydrological environment monitoring in the harsh marine environment, providing important information for hydrological environment research, marine organism research and protection.
The SB has long runtimes and recovery cycles, and the entire system is powered by batteries. So, the DAQ system should be as low-power as possible due to the requirement of long-term, stable underwater operation. Meanwhile, the DAQ system also demands large capacity storage because of long runtime and relatively high sampling rate. Owing to the wide distribution of the SB, the DAQ system must ensure high-speed data storage as well as high-speed upload path to the host when retrieving data in order to reduce data collection time and improve the extraction efficiency.
Given all above, this paper proposes a DAQ system, which consists of multi-channel ADCs for hydrophones signal digitization; one Spartan-6 FPGA for data package, capture and compression; SD card for short-term data storage; SSD for long-term data storage along with dual Gigabit Ethernet for data upload. Preliminary test shows that the DAQ system can achieve high-speed data conversion, storage and readout at comparatively low-power.

Country China
Speaker Zhilei Zhang
Institute USTC
Description hardware
Minioral Yes

Primary author

ZhiLei Zhang (University of Science and Technology of China)


Dr Feng Li (Univ.of Sci.&Tech.of CHN (USTC)) Peng Miao (University of Science and Technology of China) Kun Hu (University of Science and Technology of China) Mr Houbing Lu (Univ. of Science & Tech. of China (CN)) Prof. Ge Jin (Univ. of Science & Tech. of China (CN))

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