Evidence map›Paper›PMID 35590999›Full record

ReviewSensors (Basel, Switzerland)2022

Recent Advances in Sensors for Fire Detection.

Fawad Khan, Zhiguang Xu, Junling Sun, Fazal Maula Khan, Adnan Ahmed, Yan Zhao

Abstract readReview
In one paragraph

Review 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Fawad KhanCollege of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.
Zhiguang XuChina-Australia Institute for Advanced Materials and Manufacturing, Jiaxing University, Jiaxing 314001, China.
Junling SunShandong Qingdao Petroleum Branch, SINOPEC Sales Co., Ltd., Qingdao 266071, China.
Fazal Maula KhanSchool of Materials Science and Engineering, Beihang University, Beijing 100191, China.
Adnan AhmedCollege of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.
Yan ZhaoCollege of Textile and Clothing Engineering, Soochow University, Suzhou 215123, China.ORCID 0000-0002-2386-2901

Funding

The Key Laboratory of Flame Retardancy Finishing of Textile Materials, CNTAC Q811580421
6 · The paper itself

Abstract

Fire is indeed one of the major contributing factors to fatalities, property damage, and economic disruption. A large number of fire incidents across the world cause devastation beyond measure and description every year. To minimalize their impacts, the implementation of innovative and effective fire early warning technologies is essential. Despite the fact that research publications on fire detection technology have addressed the issue to some extent, fire detection technology still confronts hurdles in decreasing false alerts, improving sensitivity and dynamic responsibility, and providing protection for costly and complicated installations. In this review, we aim to provide a comprehensive analysis of the current futuristic practices in the context of fire detection and monitoring strategies, with an emphasis on the methods of detecting fire through the continuous monitoring of variables, such as temperature, flame, gaseous content, and smoke, along with their respective benefits and drawbacks, measuring standards, and parameter measurement spans. Current research directions and challenges related to the technology of fire detection and future perspectives on fabricating advanced fire sensors are also provided. We hope such a review can provide inspiration for fire sensor research dedicated to the development of advanced fire detection techniques.

Indexed as

GasesSmokeTemperatureGasesSmokefire detectionflamegasheatsensorsmoke

Identifiers

PMID35590999
PMCPMC9100504

What OpenQuestion holds

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LicenceCC BY
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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.