Data Acquisition Board for Monitoring and Analysis of Electrical and Non-electrical data on Board of a Vessel

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.

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Development of a distributed hybrid seismic-electrical data acquisition system based on NB-IoT technology

10.5194/gi-2018-51 ◽

2019 ◽

Author(s):

Wenhao Li ◽

Qisheng Zhang ◽

Qimao Zhang ◽

Feng Guo ◽

Shuaiqing Qiao ◽

...

Keyword(s):

Data Acquisition ◽

High Precision ◽

Data Acquisition System ◽

Acquisition System ◽

Geophysical Prospecting ◽

Clock Frequency ◽

Long Distance ◽

Data Acquisition Board ◽

Acquisition Processes ◽

Electrical Data

Abstract. The non-uniqueness 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, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and 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 @ 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 control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and 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.

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LO.CO.MO.DIA: Low Cost Monitoring for Diagnostic Purposes of a Small Scale CHP Plant

10.1115/imece2000-1342 ◽

2000 ◽

Author(s):

Francesco Fantozzi ◽

Umberto Desideri

Keyword(s):

Data Acquisition ◽

Internal Combustion Engines ◽

Low Cost ◽

Small Scale ◽

Combustion Engines ◽

Performance Indexes ◽

Data Acquisition Board ◽

Set Up ◽

The University ◽

Maintenance Personnel

Abstract Small scale Internal Combustion Engines (ICE) powered Combined Heat and Power (CHP) plants are economically convenient when availability and efficiencies are above specified limits. Nevertheless these plants are often run without a monitoring device capable of data storing and trending and of performance evaluation. This paper describes the setting up of a powerful low-cost monitoring system for the CHP plant that powers the School of Engineering of the University of Perugia. Data acquisition is performed by interfacing a Personal Computer (PC) to existing control panels via, serial port, and to a data acquisition board for those variables that are not measured by existing devices. Performance indexes are then calculated via software. Alarms and controls are stored as well to set up a database for diagnostic purposes. The monitoring itself has already shown its troubleshooting capability in interface to maintenance personnel: history trending of variables speeds up the phase of failure identification because it eliminates those possibilities that are negated by cross referencing values of different variables.

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Hybrid Seismic-Electrical Data Acquisition Station Based on Cloud Technology and Green IoT

IEEE Access ◽

10.1109/access.2020.2966510 ◽

2020 ◽

Vol 8 ◽

pp. 31026-31033

Author(s):

Shuaiqing Qiao ◽

Qisheng Zhang ◽

Qimao Zhang ◽

Feng Guo ◽

Wenhao Li

Keyword(s):

Data Acquisition ◽

Cloud Technology ◽

Electrical Data

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TEL62: an integrated trigger and data acquisition board

Journal of Instrumentation ◽

10.1088/1748-0221/7/02/c02046 ◽

2012 ◽

Vol 7 (02) ◽

pp. C02046-C02046 ◽

Cited By ~ 18

Author(s):

B Angelucci ◽

E Pedreschi ◽

M Sozzi ◽

F Spinella

Keyword(s):

Data Acquisition ◽

Data Acquisition Board

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Acquisition of fast transient signals in ICP-MS with enhanced time resolution

Journal of Analytical Atomic Spectrometry ◽

10.1039/c6ja00140h ◽

2016 ◽

Vol 31 (8) ◽

pp. 1688-1692 ◽

Cited By ~ 11

Author(s):

Amy J. Managh ◽

David N. Douglas ◽

K. Makella Cowen ◽

Helen J. Reid ◽

Barry L. Sharp

Keyword(s):

Data Acquisition ◽

Time Resolution ◽

Transient Signals ◽

Data Acquisition Board ◽

Icp Ms ◽

Fast Transient

Improving time resolution in sector-field ICP-MS through use of a plug-in data acquisition board.

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The TrainBuilder ATCA data acquisition board for the European-XFEL

Journal of Instrumentation ◽

10.1088/1748-0221/7/12/c12006 ◽

2012 ◽

Vol 7 (12) ◽

pp. C12006-C12006 ◽

Cited By ~ 1

Author(s):

J Coughlan ◽

C Day ◽

J Edwards ◽

E Freeman ◽

S Galagedera ◽

...

Keyword(s):

Data Acquisition ◽

Data Acquisition Board

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Development of a new distributed hybrid seismic-electrical data acquisition station based on system–on-a-programmable-chip technology

10.5194/gi-2019-12 ◽

2019 ◽

Author(s):

Qisheng Zhang ◽

Wenhao Li ◽

Feng Guo ◽

Zhenzhong Yuan ◽

Shuaiqing Qiao ◽

...

Keyword(s):

Low Power ◽

Data Acquisition ◽

High Precision ◽

Data Transmission ◽

Dynamic Range ◽

Low Voltage ◽

Low Noise ◽

Transmission Protocol ◽

Control Board ◽

Electrical Data

Abstract. In the past few decades, with the continuous advancement of technology, seismic-electrical instruments have developed rapidly. However, complex and harsh exploration environments have put forward higher requirements and severe challenges for traditional geophysical exploration methods and instruments. Therefore, it is extremely urgent to develop new high-precision exploration instruments and data acquisition systems. In this study, a new distributed seismic-electrical hybrid acquisition station is developed using system-on-a-programmable-chip (SoPC) technology. The acquisition station hardware includes an analog board and a main control board. The analog board uses a signal conditioning circuit and a 24-bit analog-to-digital converter (ADS1271) to achieve high-precision data acquisition, while the main control board uses a low-power SoPC chip to enable high-speed stable data transmission. Moreover, the data transmission protocol for the acquisition station was designed, an improved low-voltage differential signaling data transmission technology was independently developed, and a method to enhance the precision of synchronous acquisition was studied in depth. These key technologies, which were developed for the acquisition station, were integrated into the SoPC of the main control board. Testing results indicate that the synchronization precision of the acquisition station is better than 200 ns, and the maximum low-power data transmission speed is 16 Mbps along a 55 m cable. Simultaneously, the developed acquisition station has the advantages of low noise, large dynamic range, low power consumption, etc., and it can achieve high-precision hybrid acquisition of seismic-electrical data.

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