Evidence map›Paper›PMID 32825365›Full record

ArticleSensors (Basel, Switzerland)2020

An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study.

Vlastimil Slaný, Adam Lučanský, Petr Koudelka, Jan Mareček, Eva Krčálová, Radek Martínek

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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. IoT-Enabled Smart Cities: Evolution and Outlook.Sensors (Basel, Switzerland) · 2021
    Review
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.

Vlastimil SlanýDepartment of Agricultural, Food and Environmental Engineering, Mendel Univerzity in Brno, 61300 Brno, Czech Republic.ORCID 0000-0001-9727-0848
Adam LučanskýDepartment of Agricultural, Food and Environmental Engineering, Mendel Univerzity in Brno, 61300 Brno, Czech Republic.
Petr KoudelkaDepartment of Agricultural, Food and Environmental Engineering, Mendel Univerzity in Brno, 61300 Brno, Czech Republic.
Jan MarečekDepartment of Agricultural, Food and Environmental Engineering, Mendel Univerzity in Brno, 61300 Brno, Czech Republic.
Eva KrčálováDepartment of Agricultural, Food and Environmental Engineering, Mendel Univerzity in Brno, 61300 Brno, Czech Republic.
Radek MartínekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava-Poruba, Czech Republic.ORCID 0000-0003-2054-143X

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy SP2020/156
6 · The paper itself

Abstract

This pilot study focuses on the design, implementation, optimization and verification of a novel solution of smart measuring of water consumption and crisis detection leading to a smart water management platform. The system implemented consists of a modular IoT platform based on a PCB (Printed Circuit Board) design using the M2.COM standard, a LoraWAN modem and a LoraWAN gateway based on the Raspberry Pi platform. The prototype is modular, low-cost, low-power, low-complex and it fully reflects the requirements of strategic technological concepts of Smart City and Industry 4.0, i.e., data integration, interoperability, (I)IoT, etc. The study was produced in cooperation with M.I.S Protivanov and VODARENSKA AKCIOVA SPOLECNOST, a.s. (industry partners distributing drinking water in the Olomouc and South-Moravian regions) to depict the current situation in the Czech Republic, characterized by extreme weather fluctuations and increasingly frequent periods of drought. These drinking water distributors are also constantly placing new demands on these smart solutions. These requirements include, above all, reliability of data transmission, modularity and, last but not least, low cost. However, smart water management (water consumption, distribution, system identification, equipment maintenance, etc.) is becoming an important topic worldwide. The functionality of the system was first verified in laboratory conditions and, then, in real operation. The study also includes checking signal propagation in the municipal area of the village of Zdarna, where the radius of the proposed measuring system was tested. A laboratory test with simulation of water leakage is also part of this work. Subsequently, the system was tested in a residential unit by means of water leakage detection using the MNF method (minimum night flow); the detection success rate was 95%.

Indexed as

LoRaWANmodularitysmart meteringsmart waterwater management

Identifiers

PMID32825365
PMCPMC7547382

What OpenQuestion holds

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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.