Evidence map›Paper›PMID 42817471›Full record

ArticleSensors (Basel, Switzerland)2026

PROMETEO: Infrastructure Remote-Control and Geophysical Monitoring System of the INGV Osservatorio Vesuviano.

Aldo Benincasa, Antonio Caputo, Francesco Liguoro, Giovanni Scarpato, Massimo Orazi, Roberto Manzo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aldo BenincasaIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0003-0723-9607
Antonio CaputoIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0002-4990-1913
Francesco LiguoroIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0002-8758-623X
Giovanni ScarpatoIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0003-3048-5283
Massimo OraziIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0003-2772-2989
Roberto ManzoIstituto Nazionale di Geofisica e Vulcanologia (INGV), Osservatorio Vesuviano, 80124 Napoli, Italy.ORCID 0000-0003-4144-1104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous operation of the geophysical monitoring networks managed by the Istituto Nazionale di Geofisica e Vulcanologia (INGV)-Osservatorio Vesuviano relies on the reliability of a highly distributed infrastructure deployed in active volcanic areas. In these contexts, failures affecting power supply, environmental control, or communication systems may lead to interruptions in data transmission and consequent loss of scientific observations. This work presents PROMETEO, an integrated remote-control and infrastructure monitoring system designed to supervise heterogeneous monitoring stations through a multiparametric sensing approach. The system combines distributed sensors and intelligent edge devices for the acquisition of electrical, environmental, and connectivity-related parameters, including battery voltage, load current, cabinet temperature, signal quality, and network reachability. Data are collected and integrated in real time through standard Internet of Things (IoT) and industrial communication protocols, namely Message Queuing Telemetry Transport (MQTT), Simple Network Management Protocol (SNMP), and MODBUS, and centralized within the open-source Home Assistant platform. This architecture enables the fusion of heterogeneous sensor measurements into a unified supervisory framework for real-time visualization, alarm generation, historical storage, and trend analysis. The results show that the multiparametric correlation of sensor data significantly improves diagnostic capability, allowing rapid discrimination between power-related anomalies and communication failures, particularly in remote mobile stations. By reducing diagnostic uncertainty and limiting unnecessary field interventions, PROMETEO enhances the operational resilience of geophysical monitoring infrastructures and supports preventive and predictive maintenance strategies. The proposed system demonstrates how a scalable multiparametric sensing architecture can strengthen the reliability and continuity of monitoring networks operating in complex environmental conditions.

Indexed as

infrastructure monitoringIoT monitoringsensor networks

Identifiers

PMID42817471
PMCPMC13611512

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.