Evidence map›Paper›PMID 38276403›Full record

ArticleSensors (Basel, Switzerland)2024

IIoT Low-Cost ZigBee-Based WSN Implementation for Enhanced Production Efficiency in a Solar Protection Curtains Manufacturing Workshop.

Hicham Klaina, Imanol Picallo, Peio Lopez-Iturri, Aitor Biurrun, Ana V Alejos, Leyre Azpilicueta, Abián B Socorro-Leránoz, Francisco Falcone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Hicham KlainaElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0001-7404-6413
Imanol PicalloElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0003-2109-4731
Peio Lopez-IturriElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0001-8411-1928
Aitor BiurrunElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.
Ana V AlejosSignal and Communications Theory Department, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0003-3426-2909
Leyre AzpilicuetaElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0002-3821-0105
Abián B Socorro-LeránozElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0003-4843-9023
Francisco FalconeElectric, Electronic and Communication Engineering Department, Public University of Navarre, 31006 Pamplona, Spain.ORCID 0000-0002-4911-9753

Funding

Ministerio de Ciencia e Innovación PID2021-127409OB-C31
6 · The paper itself

Abstract

Nowadays, the Industry 4.0 concept and the Industrial Internet of Things (IIoT) are considered essential for the implementation of automated manufacturing processes across various industrial settings. In this regard, wireless sensor networks (WSN) are crucial due to their inherent mobility, easy deployment and maintenance, scalability, and low power consumption, among other benefits. In this context, the presented paper proposes an optimized and low-cost WSN based on ZigBee communication technology for the monitoring of a real manufacturing facility. The company designs and manufactures solar protection curtains and aims to integrate the deployed WSN into the Enterprise Resource Planning (ERP) system in order to optimize their production processes and enhance production efficiency and cost estimation capabilities. To achieve this, radio propagation measurements and 3D ray launching simulations were conducted to characterize the wireless channel behavior and facilitate the development of an optimized WSN system that can operate in the complex industrial environment presented and validated through on-site wireless channel measurements, as well as interference analysis. Then, a low-cost WSN was implemented and deployed to acquire real-time data from different machinery and workstations, which will be integrated into the ERP system. Multiple data streams have been collected and processed from the shop floor of the factory by means of the prototype wireless nodes implemented. This integration will enable the company to optimize its production processes, fabricate products more efficiently, and enhance its cost estimation capabilities. Moreover, the proposed system provides a scalable platform, enabling the integration of new sensors as well as information processing capabilities.

Indexed as

3D ray launchingautomationindustrial internet of thingsIndustry 4.0manufacturing processwireless channelwireless sensor networks

Identifiers

PMID38276403
PMCPMC10818594

What OpenQuestion holds

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Registered trials

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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.