Evidence map›Paper›PMID 35684586›Full record

ArticleSensors (Basel, Switzerland)2022

Wireless Kitchen Fire Prevention System Using Electrochemical Carbon Dioxide Gas Sensor for Smart Home.

Soon-Jae Kweon, Jeong-Ho Park, Chong-Ook Park, Hyung-Joun Yoo, Sohmyung Ha

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. 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

5 authors.

Soon-Jae KweonDivision of Engineering, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.ORCID 0000-0003-2580-8543
Jeong-Ho ParkSystem LSI Business, Samsung Electronics Co., Ltd., Hwaseong-si 18448, Korea.
Chong-Ook ParkDepartment of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
Hyung-Joun YooSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
Sohmyung HaDivision of Engineering, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates.ORCID 0000-0003-3589-086X

Funding

Ministry of Education 2021R1A6A3A03043927
6 · The paper itself

Abstract

This paper presents a wireless kitchen fire prevention system that can detect and notify the fire risk caused by gas stoves. The proposed system consists of two modules. The sensor module detects the concentration of carbon dioxide (CO2) near the gas stove and transmits the monitoring results wirelessly. The alarm module, which is placed in other places, receives the data and reminds the user of the stove status. The sensor module uses a cost-efficient electrochemical CO2 sensor and embeds an in situ algorithm that determines the status of the gas stove based on the measured CO2 concentration. For the wireless communication between the modules, on-off keying (OOK) is employed, thereby achieving a longer battery lifetime of the alarm module, low cost, and simple implementation. To increase the lifetime further, a wake-up function based on passive infrared (PIR) sensing is employed in the alarm module. Our system can successfully detect the on state of the stove within 40 s and the off state within 200 s. Thanks to the low-power implementation, in situ algorithm, and wake-up function, the alarm module's expected battery lifetime is extended to about two months.

Indexed as

Carbon DioxideElectric Power SuppliesAlgorithmsCarbon Dioxidecarbon dioxide sensorfire alarmfire safetygas stovemoving averageon-off keyingwireless communication

Identifiers

PMID35684586
PMCPMC9182822

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.