Evidence map›Paper›PMID 39409527›Full record

ArticleSensors (Basel, Switzerland)2024

Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring.

Nicky Andre Prabatama, Mai Lan Nguyen, Pierre Hornych, Stefano Mariani, Jean-Marc Laheurte

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Nicky Andre PrabatamaUniv Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, France.ORCID 0009-0005-7920-7905
Mai Lan NguyenUniv Gustave Eiffel, MAST-LAMES, F-44344 Bouguenais, France.ORCID 0000-0001-8966-5209
Pierre HornychUniv Gustave Eiffel, MAST-LAMES, F-44344 Bouguenais, France.ORCID 0000-0002-8733-9095
Stefano MarianiDepartment of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0001-5111-9800
Jean-Marc LaheurteUniv Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, France.ORCID 0000-0001-8542-6841

Funding

European Union Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie CO-FUND 101034248
6 · The paper itself

Abstract

In this paper, we propose a wireless sensor network for pavement health monitoring exploiting the Zigbee technology. Accelerometers are adopted to measure local accelerations linked to pavement vibrations, which are then converted into displacements by a signal processing algorithm. Each device consists of an on-board unit buried in the roadway and a roadside unit. The on-board unit comprises a microcontroller, an accelerometer and a Zigbee module that transfers acceleration data wirelessly to the roadside unit. The roadside unit consists of a Raspberry Pi, a Zigbee module and a USB Zigbee adapter. Laboratory tests were conducted using a vibration table and with three different accelerometers, to assess the system capability. A typical displacement signal from a five-axle truck was applied to the vibration table with two different displacement peaks, allowing for two different vehicle speeds. The prototyped system was then encapsulated in PVC packaging, deployed and tested in a real-life road situation with a fatigue carousel featuring rotating truck axles. The laboratory and on-road measurements show that displacements can be estimated with an accuracy equivalent to that of a reference sensor.

Indexed as

accelerometerspavement monitoringwireless sensor networkZigbee

Identifiers

PMID39409527
PMCPMC11479258

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.