Development of an IoT Structural Monitoring System Applied to a Hypogeal Site.

Alessio De Angelis, Francesco Santoni, Paolo Carbone, Manuela Cecconi, Alessia Vecchietti, Francesco Di Lorenzo

Open access · goldAbstract readLetter

In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

Tilt Sensor with Recalibration Feature Based on MEMS Accelerometer.Sensors (Basel, Switzerland) · 2022
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

6 authors at 1 institution in 1 country.

Alessio De AngelisEngineering Department, University of Perugia, 06125 Perugia, Italy.

Francesco SantoniEngineering Department, University of Perugia, 06125 Perugia, Italy.

Paolo CarboneEngineering Department, University of Perugia, 06125 Perugia, Italy.ORCID 0000-0003-0540-1287

Manuela CecconiEngineering Department, University of Perugia, 06125 Perugia, Italy.ORCID 0000-0003-3353-8248

Alessia VecchiettiEngineering Department, University of Perugia, 06125 Perugia, Italy.

Francesco Di LorenzoPolo Museale dell'Umbria, 06121 Perugia, Italy.

University of Perugia · IT

Funding

Fondazione Cassa di Risparmio di Perugia 2018.0421.021

6 · The paper itself

Abstract

This paper describes the development of a distributed sensing system that can be disseminated in an environment of interest to monitor the vibration of a structure. This low-cost system consists of several sensor nodes and a central receiving node. All nodes are built using off-the-shelf electronic components. Each of the sensor nodes is battery-powered and equipped with a triaxial MEMS accelerometer, a wireless Long Range (LoRa) transceiver module for data transmission, a GPS module used for synchronization, and a microcontroller. The operation of the sensor node is validated by controlled laboratory tests where it is compared to a commercial reference accelerometer. Furthermore, the feasibility and potential benefits of the application of the proposed system to a structure in an archaeological site is investigated. Results show that the proposed sensor node could successfully monitor the vibration at several locations within the site. Therefore, it may be employed to detect the most relevant stresses to the structure, allowing for the identification of risks.

Indexed as

accelerometersInternet-of-Things sensorssensors for cultural heritage monitoringstructural monitoringvibration sensing

Identifiers

PMID33256201

DOI10.3390/s20236769

PMCPMC7730998

OpenAlexW3109475692

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.