Evidence map›Paper›PMID 36904744›Full record

ArticleSensors (Basel, Switzerland)2023

The Internet of Things for the Intelligent Management of the Heating of a Swimming Pool by Means of Smart Sensors.

Álvaro de la Puente-Gil, Miguel de Simón-Martín, Alberto González-Martínez, Ana-María Diez-Suárez, Jorge-Juan Blanes-Peiró

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Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Álvaro de la Puente-GilEnergy Resources' Smart Management (ERESMA) Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Universidad de León, 24071 León, Spain.ORCID 0000-0002-5053-7856
Miguel de Simón-MartínEnergy Resources' Smart Management (ERESMA) Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Universidad de León, 24071 León, Spain.ORCID 0000-0003-0330-3966
Alberto González-MartínezEnergy Resources' Smart Management (ERESMA) Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Universidad de León, 24071 León, Spain.ORCID 0000-0002-6706-9569
Ana-María Diez-SuárezEnergy Resources' Smart Management (ERESMA) Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Universidad de León, 24071 León, Spain.ORCID 0000-0002-3141-4041
Jorge-Juan Blanes-PeiróEnergy Resources' Smart Management (ERESMA) Research Group, Escuela Superior y Técnica de Ingenieros de Minas, Universidad de León, 24071 León, Spain.ORCID 0000-0003-3646-9671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By using various smart sensors integrated in a global domotic system, a proper solar thermal management is executed. The goal is to properly manage solar energy for heating swimming pool using various devices installed at home. Swimming pools are a necessity in many communities. In summer, they are a source of refreshment. However, maintaining a swimming pool at an optimal temperature can be a challenge even in the summer months. The use of the Internet of Things in homes has enabled proper management of solar thermal energy, thus significantly improving the quality of life by making homes more comfortable and safer without using additional resources. The houses built today have several smart devices that manage to optimize the energy consumption of the house. The solutions proposed in this study to improve energy efficiency in swimming pool facilities include the installation of solar collectors to heat swimming pool water more efficiently. The installation of smart actuation devices (to efficiently control energy consumption of a pool facility via different processes) together with sensors that provide valuable information on energy consumption in the different processes of a pool facility, can optimize energy consumption thus reducing overall consumption (by 90%) and economic cost (by more than 40%). Together, these solutions can help to significantly reduce energy consumption and economic costs and extrapolate it to different processes of similar characteristics in the rest of the society.

Indexed as

intelligent managementinternet of thingspower consumptionsmart sensors

Identifiers

PMID36904744
PMCPMC10007068

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read38
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.