Evidence map›Paper›PMID 38890362›Full record

ArticleScientific reports2024

Wireless and battery-operatable IoT platform for cost-effective detection of fouling in industrial equipment.

Julius Korsimaa, Martin Weber, Petteri Salminen, Joonas Mustonen, Denys Iablonskyi, Edward Hæggström, Arto Klami, Ari Salmi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Julius Korsimaa *Electronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland. julius.korsimaa@helsinki.fi.
Martin Weber *Electronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.
Petteri SalminenElectronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.
Joonas MustonenElectronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.
Denys IablonskyiElectronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.
Edward HæggströmElectronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.
Arto KlamiDepartment of Computer Science, University of Helsinki, Helsinki, Finland.
Ari SalmiElectronics Research Laboratory, Department of Physics, University of Helsinki, Helsinki, Finland.

Funding

Research Council of Finland 324852Research Council of Finland 336020
6 · The paper itself

Abstract

We present a novel internet of things (IoT) sensing platform that uses helical propagation paths of ultrasonic guided waves (UGWs) for structural health monitoring. This wireless sensor network comprises multiple identical sensor units that communicate with a host PC. The units have dedicated hardware to both generate and receive ultrasonic signals, as well as RF signals for use in triggering the sensors. The system was developed for monitoring and sensing pipelines and similar structures in real-time to facilitate interactive sensing. For accurate sensing with a limited number of arbitrarily scattered sensors, we obtain information from all sensor pairs and analyze helical propagation paths in addition to the commonly used shortest paths. UGWs can propagate long distances along the walls of pipelines, and their propagation velocity depends directly on the thickness of the waveguide, and is affected by energy leakage and mass loading. In this paper, we evaluated the network by utilizing it to detect fouling. The network could be adapted for further ultrasonic measurement tasks, e.g., measuring wall thicknesses or monitoring defects with pulse-echo methods.

Identifiers

PMID38890362
PMCPMC11189449

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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.