Evidence map›Paper›PMID 36904723›Full record

ArticleSensors (Basel, Switzerland)2023

Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency.

Eduardo Hidalgo-Fort, Juan Antonio Gómez-Galán, Ramón González-Carvajal, Pedro Sánchez-Cárdenas, Carlos Clemente-Maya

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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.

Eduardo Hidalgo-FortDepartment of Electronic Engineering, University of Seville, 41092 Seville, Spain.ORCID 0000-0002-2307-0031
Juan Antonio Gómez-GalánDepartment of Electronic Engineering, Computers, and Automation, University of Huelva, 21007 Huelva, Spain.ORCID 0000-0003-1304-8372
Ramón González-CarvajalDepartment of Electronic Engineering, University of Seville, 41092 Seville, Spain.
Pedro Sánchez-CárdenasAtlantic Copper S.L.U. Company, Avda. Francisco Montenegro, s/n, 21001 Huelva, Spain.
Carlos Clemente-MayaAtlantic Copper S.L.U. Company, Avda. Francisco Montenegro, s/n, 21001 Huelva, Spain.

Funding

Technological Corporation of Andalusia 19/1008
6 · The paper itself

Abstract

An industrial wireless monitoring and control system, capable of supporting energy-harvesting devices through smart sensing and network management, designed for improving electro-refinery performance by applying predictive maintenance, is presented. The system is self-powered from bus bars, and features wireless communication and easy-to-access information and alarms. With cell voltage and electrolyte temperature measurements, the system enables real-time cell performance discovery and early reaction to critical production or quality disturbances such as short-circuiting, flow blockages, or electrolyte temperature excursions. Field validation shows an increase in operational performance of 30% (reaching 97%) in the detection of short circuits, which, thanks to a neural network deployed, are detected, on average, 10.5 h earlier compared to the traditional methodology. The developed system is a sustainable IoT solution, being easy to maintain after its deployment, and providing benefits of improved control and operation, increased current efficiency, and decreased maintenance costs.

Indexed as

battery-lessenergy harvestingindustrial wireless monitoringLoRaWANwireless sensor network

Identifiers

PMID36904723
PMCPMC10007097

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read34
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.