Evidence map›Paper›PMID 30696056›Full record

ArticleSensors (Basel, Switzerland)2019

An Integrated Energy-Efficient Wireless Sensor Node for the Microtremor Survey Method.

Ruyun Tian, Longxu Wang, Xiaohua Zhou, Hao Xu, Jun Lin, Linhang Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

6 authors.

Ruyun TianCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China. tianry18@mails.jlu.edu.cn.
Longxu WangCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China. wanglx17@mails.jlu.edu.cn.
Xiaohua ZhouCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China. zhouxiaohua@jlu.edu.cn.
Hao XuCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China. haoxu17@mails.jlu.edu.cn.
Jun LinCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China. lin_jun@jlu.edu.cn.
Linhang ZhangKey Laboratory of Geophysical Exploration Equipment, Ministry of Education, Jilin University, Changchun 130061, China. linxing@jlu.edu.cn.

Funding

National Natural Science Foundation of China 41204069New Energy Special Project of Jilin Province-University Construction Special Project SXGJSF2017-5Special Projects for Exploration and Exploitation of Deep Earth Resources of China 2018YFC0603204
6 · The paper itself

Abstract

The microtremor survey method (MSM) has the potential to be an important geophysical method for identifying the strata velocity structure and detecting the buried fault structures. However, the existing microtremor exploration equipment has been unable to satisfy the requirements of the MSM, which suffers from low data accuracy, long measurement time, and blind acquisition. In this study, we combined a 2 Hz moving coil geophone with advanced acquisition systems to develop a new integrated energy-efficient wireless sensor node for microtremor exploration. A high-precision AD chip and noise matching technology are used to develop a low-noise design for the sensor node. Dynamic frequency selection technology (DFS) and dynamic power management technology (DPM) are used to design an energy-efficient mode. The data quality monitoring system solves the closed technical flaws between the acquisition systems and the control center via 4G wireless monitoring technologies. According to the results of a series of in situ tests and field measurements, the noise level of the system was 0.7 μV@500 Hz with 0 dB attenuation and 220 mW power consumption of the system in the autonomous data acquisition mode. Therefore, it provides substantial support for the effective data acquisition over long measurement durations in microtremor exploration processes. The applicability of the system is evaluated using field data, according to which the integrated energy-efficient wireless sensor node is convenient and effective for MSM.

Indexed as

4G wireless monitoring systemambient-noise measurementenergy-efficientmicrotremor survey methodstrata velocity structure

Identifiers

PMID30696056
PMCPMC6386848

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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.