Evidence map›Paper›PMID 31357720›Full record

ArticleSensors (Basel, Switzerland)2019

Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant.

Marouane Salhaoui, Antonio Guerrero-González, Mounir Arioua, Francisco J Ortiz, Ahmed El Oualkadi, Carlos Luis Torregrosa

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Architectures for Industrial AIoT Applications.Sensors (Basel, Switzerland) · 2024
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  4. Review
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  11. Sensors (Basel, Switzerland) · 2019
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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.

Marouane SalhaouiDepartment of Automation, Electrical Engineering and Electronic Technology, Universidad Politécnica de Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain.
Antonio Guerrero-GonzálezDepartment of Automation, Electrical Engineering and Electronic Technology, Universidad Politécnica de Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain. antonio.guerrero@upct.es.
Mounir AriouaLaboratory of Information and Communication Technologies (LabTIC), National school of applied sciences of Tangier (ENSATg), Abdelmalek Essaadi University, ENSA Tanger, Route Ziaten, BP 1818, Tanger, Tétouan 93000, Morocco.ORCID 0000-0001-6069-6298
Francisco J OrtizDSIE Research Group, Universidad Politécnica de Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain. francisco.ortiz@upct.es.
Ahmed El OualkadiLaboratory of Information and Communication Technologies (LabTIC), National school of applied sciences of Tangier (ENSATg), Abdelmalek Essaadi University, ENSA Tanger, Route Ziaten, BP 1818, Tanger, Tétouan 93000, Morocco.ORCID 0000-0002-4953-1000
Carlos Luis TorregrosaFRUMECAR S.L., C/Venezuela P.17/10 Polígono Industrial Oeste, 30169 Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing techniques for gathering data over large areas. They are now being used in the industry sector as sensing tools for proactively solving or preventing many issues, besides quantifying production and helping to make decisions. UAVs are a highly consistent technological platform for efficient and cost-effective data collection and event monitoring. The industrial Internet of things (IIoT) sends data from systems that monitor and control the physical world to data processing systems that cloud computing has shown to be important tools for meeting processing requirements. In fog computing, the IoT gateway links different objects to the internet. It can operate as a joint interface for different networks and support different communication protocols. A great deal of effort has been put into developing UAVs and multi-UAV systems. This paper introduces a smart IIoT monitoring and control system based on an unmanned aerial vehicle that uses cloud computing services and exploits fog computing as the bridge between IIoT layers. Its novelty lies in the fact that the UAV is automatically integrated into an industrial control system through an IoT gateway platform, while UAV photos are systematically and instantly computed and analyzed in the cloud. Visual supervision of the plant by drones and cloud services is integrated in real-time into the control loop of the industrial control system. As a proof of concept, the platform was used in a case study in an industrial concrete plant. The results obtained clearly illustrate the feasibility of the proposed platform in providing a reliable and efficient system for UAV remote control to improve product quality and reduce waste. For this, we studied the communication latency between the different IIoT layers in different IoT gateways.

Indexed as

cloud computingconcrete plantdronesend-to-end delayimage recognitionindustry 4.0IoT gatewayIoT protocolsnetwork latencyUAVs

Identifiers

PMID31357720
PMCPMC6695929

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.