Evidence map›Paper›PMID 30862012›Full record

ArticleSensors (Basel, Switzerland)2019

The Development and Field Evaluation of an IoT System of Low-Power Vibration for Bridge Health Monitoring.

Xinlong Tong, Hailu Yang, Linbing Wang, Yinghao Miao

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

4 authors.

Xinlong TongNational Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China. maniga@163.com.ORCID 0000-0001-5203-4198
Hailu YangNational Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China. yanghailu@ustb.edu.cn.ORCID 0000-0002-3188-2013
Linbing WangJoint USTB-Virginia Tech Lab on Multifunctional Materials, USTB, Beijing 100083, China. wangl@vt.edu.
Yinghao MiaoNational Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China. miaoyinghao@ustb.edu.cn.ORCID 0000-0002-5019-7388

Funding

Research and Manufacturing of In-Pavement Piezoelectric Energy Harvester 458256the Science and technology project of Ministry of Transport of the People's Republic of China 2014318791080The state high-tech research and development plans 2014AA110402
6 · The paper itself

Abstract

Bridge safety is important for the safety of vehicles and pedestrians. This paper presents a study on the development of a low-power wireless acceleration sensor and deployment of the sensors on a wireless gateway and cloud platform following the Internet of Things (IoT) protocols for bridge monitoring. The entire system was validated in a field test on the Chijing bridge in Shanghai. Field evaluations indicated that the developed IoT bridge monitoring system could achieve the functions of real-time data acquisition, transmission, storage and analytical processing to synthesize safety information of the bridge. The demonstrated system was promising as a complete, practical, readily available, low-cost IoT system for bridge health monitoring.

Indexed as

VibrationWireless TechnologyAlgorithmsChinaInternetSignal Processing, Computer-AssistedbridgesgatewayInternet of Thingssensors

Identifiers

PMID30862012
PMCPMC6427189

What OpenQuestion holds

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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.