Evidence map›Paper›PMID 31623218›Full record

ArticleSensors (Basel, Switzerland)2019

System of Sensors and Actuators for the Production of Water Used in the Manufacture of Medicines.

Fabricio Roosevelt Melo da Silva, Diego Antonio de Moura Fonsêca, Werbet Luiz Almeida da Silva, Elmer Rolando Llanos Villarreal, German Alberto Echaiz Espinoza, Andrés Ortiz Salazar

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. 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.

Fabricio Roosevelt Melo da SilvaDepartment of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil. fabricio@dca.ufrn.br.ORCID 0000-0001-7515-0730
Diego Antonio de Moura FonsêcaDepartment of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil. diegomoura@dca.ufrn.br.ORCID 0000-0003-0895-3300
Werbet Luiz Almeida da SilvaDepartment of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil. werbethluizz@hotmail.com.ORCID 0000-0001-7197-6957
Elmer Rolando Llanos VillarrealDepartment of Natural Sciences, Mathematics, and Statistics, Federal Rural University of Semi-arid (DCME-UFERSA), Mossoró 59625-900, Brazil. elmerllanos@ufersa.edu.br.ORCID 0000-0002-3059-3340
German Alberto Echaiz EspinozaAutomation and Control Department, School of Electronical Engineering, National University of San Agustín de Arequipa (UNSA), Arequipa 04002, Peru. gechaiz@unsa.edu.pe.ORCID 0000-0001-7013-1696
Andrés Ortiz SalazarDepartment of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil. andres@dca.ufrn.br.ORCID 0000-0001-5650-3668

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 002Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Universidade Federal do Rio Grande do Norte 003
6 · The paper itself

Abstract

This paper presents the development and implementation of a centralized industrial network for an automatic purified water production system used in the pharmaceutical industry. This implementation is part of a project to adapt an industrial plant to cope with advances in industrial technology to achieve the level of Industry 4.0. The adequacy of the instruments and the interconnection of the controllers made it possible to monitor the process steps by transforming a manual plant, with discontinuous production into an automated plant, improving the efficiency and quality of the produced water. The development of a supervisory system provides the operator with a panoramic view of the process, informing in real-time the behavior of the variables in the process steps, as well as storing data, event history and alarms. This system also prevented the collection of erroneous or manipulated data, making the process more transparent and reliable. Accordingly, we have been able to tailor this water treatment plant to operate within the minimum requirements required by the regulator.

Indexed as

AutomationWater PurificationDrug IndustryHumansWaterWaterautomationconductivitymedicines manufacturingMODBUSpurified waterSCADAsensors

Identifiers

PMID31623218
PMCPMC6832464

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.