Evidence map›Paper›PMID 34202463›Full record

ArticleSensors (Basel, Switzerland)2021

A Seismic Data Acquisition System Based on Wireless Network Transmission.

Yanxia Huang, Junlei Song, Wenqin Mo, Kaifeng Dong, Xiangning Wu, Jianyi Peng, Fang Jin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yanxia HuangSchool of Computer Science, China University of Geosciences, Wuhan 430074, China.
Junlei SongSchool of Automation, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-7737-0315
Wenqin MoSchool of Automation, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-1332-5229
Kaifeng DongSchool of Automation, China University of Geosciences, Wuhan 430074, China.
Xiangning WuSchool of Computer Science, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-0887-0698
Jianyi PengSchool of Computer Science, China University of Geosciences, Wuhan 430074, China.
Fang JinSchool of Automation, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-0774-788X
Ministry of Education of the People's Republic of China · CNChina University of Geosciences · CN

Funding

Hubei Science and Technology Pillar Program Project of China NO. 2014BEC073Project 211 B17040
6 · The paper itself

Abstract

A seismic data acquisition system based on wireless network transmission is designed to improve the low-frequency response and low sensitivity of the existing acquisition system. The system comprises of a piezoelectric transducer, a high-resolution data acquisition system, and a wireless communication module. A seismic piezoelectric transducer based on a piezoelectric simply supported beam using PMN-PT is proposed. High sensitivity is obtained by using a new piezoelectric material PMN-PT, and a simply supported beam matching with the PMN-PT wafer is designed, which can provide a good low-frequency response. The data acquisition system includes an electronic circuit for charge conversion, filtering, and amplification, an FPGA, and a 24-bit analog-to-digital converter (ADC). The wireless communication was based on the ZigBee modules and the WiFi modules. The experimental results show that the application of the piezoelectric simply supported beam based on PMN-PT can effectively improve the sensitivity of the piezoelectric accelerometer by more than 190%, compared with the traditional PZT material. At low frequencies, the fidelity of the PMN-PT piezoelectric simply supported beam is better than that of a traditional central compressed model, which is an effective expansion of the bandwidth to the low-frequency region. The charge conversion, filtering, amplification, and digitization of the output signal of the piezoelectric transducer are processed and, finally, are wirelessly transmitted to the monitoring centre, achieving the design of a seismic data acquisition system based on wireless transmission.

Indexed as

FPGApiezoelectric accelerometerPMN-PTPZTseismic acquisition

Identifiers

PMID34202463
PMCPMC8272099
OpenAlexW3174339523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.