Design and Implementation of an Ultra-Low-Power Hazardous Gas Monitoring System.

Hongyu Liu, Yuchen Wang, Jiankang Yu, Shuqing Wang, Huijuan Chen

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Hongyu LiuSchool of Safety Engineering, Huludao Campus, Liaoning Technical University, Huludao 125100, China.

Yuchen WangSchool of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China.

Jiankang YuSchool of Safety Engineering, Huludao Campus, Liaoning Technical University, Huludao 125100, China.

Shuqing WangSchool of Safety Engineering, Huludao Campus, Liaoning Technical University, Huludao 125100, China.

Huijuan ChenSchool of Safety Engineering, Huludao Campus, Liaoning Technical University, Huludao 125100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to effectively monitor harmful gas leakage, this paper presents the design of an ultra-low-power IoT-based harmful gas monitoring system. The system is equipped with a custom-designed, low-power microcontroller motherboard, carefully selected low-power sensors, and high-efficiency, low-power communication modules. In addition, the system optimizes data acquisition and processing algorithms to segment gases of different concentrations. While ensuring real-time data acquisition and transmission, it achieves extremely low power consumption. By controlling the concentration of harmful gases and current for sensor performance testing, the experiment has shown that when the concentration of carbon monoxide reaches 500 ppm and methane reaches 2000 ppm, the system will trigger an alarm and upload relevant information; the sensor can detect and respond to the harmful gases within 60 s; and the system's operating current fluctuation range remains within 0.5 mA, with an average power consumption much lower than that of other devices.

Indexed as

hazardous gas monitoringinternet of thingssensor systemsultra-low power consumption

Identifiers

PMID40285148

DOI10.3390/s25082458

PMCPMC12030948

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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.