Evidence map›Paper›PMID 34884097›Full record

ArticleSensors (Basel, Switzerland)2021

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement.

Adrian I Petrariu, Eugen Coca, Alexandru Lavric

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

3 authors.

Adrian I PetrariuComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-6188-5610
Eugen CocaComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-9667-6245
Alexandru LavricComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0001-7734-4854

Funding

Integrated Center for research, development and innovation in Advanced Materials, Nanotech-nologies, and Distributed Systems for fabrication and control (MANSiD) 671/09.04.2015Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI, within PNCDI III PN-III-P2-2.1-PTE-2019-0642
6 · The paper itself

Abstract

Electric power infrastructure has revolutionized our world and our way of living has completely changed. The necessary amount of energy is increasing faster than we realize. In these conditions, the grid is forced to run against its limitations, resulting in more frequent blackouts. Thus, urgent solutions need to be found to meet this greater and greater energy demand. By using the internet of things infrastructure, we can remotely manage distribution points, receiving data that can predict any future failure points on the grid. In this work, we present the design of a fully reconfigurable wireless sensor node that can sense the smart grid environment. The proposed prototype uses a modular developed hardware platform that can be easily integrated into the smart grid concept in a scalable manner and collects data using the LoRaWAN communication protocol. The designed architecture was tested for a period of 6 months, revealing the feasibility and scalability of the system, and opening new directions in the remote failure prediction of low voltage/medium voltage switchgears on the electric grid.

Indexed as

LoRaWANpartial dischargepredictive maintenancescalabilitysmart grid

Identifiers

PMID34884097
PMCPMC8662425

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.