A smart real-time system for autonomous detection and prevention of LPG gas leaks with theoretical validation.

Saved in:
Bibliographic Details
Title: A smart real-time system for autonomous detection and prevention of LPG gas leaks with theoretical validation.
Authors: Hosur, Ravi1 hosuravi@bmsit.in, Noola, Daneshwari A.2 danu.noola@gmail.com, Hiremath, Ananda S.3 hiremath.a@gmail.com, Rati, Arpita4 arpita.h-rati@capgemini.com, Dalawai, Pavitra5 Pavitra.Dalawai@oracle.com, Gornal, Ravichandra6 ravichandra.gornal@e-plato.com, Patil, Reena7 Reena.Patil@fujitsu.com, Patil, Shashidhar B.8 shashidhar.b.patil@gmail.com, Alur, Sunanda9 ssallur@gmail.com
Source: International Journal of Electrical & Computer Engineering (2088-8708). Apr2026, Vol. 16 Issue 2, p766-790. 25p.
Subjects: PID controllers, Gas leakage, Electric power consumption, Autonomous robots, Arduino (Microcontroller)
Abstract: A gas leak sensor usually only sends a warning signal, leading to a delay in treatment and increased danger. The proposed study aims to develop an autonomous liquefied petroleum gas (LPG) gas leak detection system along with containment, using an MQ-5 sensor, Arduino Uno, and a stepper motor-based shut-off valve. The proposed system can detect a gas leak in 2.3 seconds and contain it in 3.1 seconds, with a high accuracy rate of 97.5%. The proposed system also offers a major advantage over other gas leak detection systems that only rely on global system for mobile communication (GSM) or internet of things (IoT) based warning messages by using adaptive control with a proportional-integral-derivative (PID) controller, a Laplace transform model, and exponential gas diffusion analysis. The proposed system also includes a feature to sense a smoke alarm and power failure, along with abnormality detection using artificial intelligence (AI)-based analysis. The proposed system is also efficient in terms of power consumption, with an average power consumption of only 2.1 W. The proposed system thus enhances a shift from passive detection to active containment in a smart system, thereby contributing to the domain of electrical and control engineering. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 192718344
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A smart real-time system for autonomous detection and prevention of LPG gas leaks with theoretical validation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hosur%2C+Ravi%22">Hosur, Ravi</searchLink><relatesTo>1</relatesTo><i> hosuravi@bmsit.in</i><br /><searchLink fieldCode="AR" term="%22Noola%2C+Daneshwari+A%2E%22">Noola, Daneshwari A.</searchLink><relatesTo>2</relatesTo><i> danu.noola@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Hiremath%2C+Ananda+S%2E%22">Hiremath, Ananda S.</searchLink><relatesTo>3</relatesTo><i> hiremath.a@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Rati%2C+Arpita%22">Rati, Arpita</searchLink><relatesTo>4</relatesTo><i> arpita.h-rati@capgemini.com</i><br /><searchLink fieldCode="AR" term="%22Dalawai%2C+Pavitra%22">Dalawai, Pavitra</searchLink><relatesTo>5</relatesTo><i> Pavitra.Dalawai@oracle.com</i><br /><searchLink fieldCode="AR" term="%22Gornal%2C+Ravichandra%22">Gornal, Ravichandra</searchLink><relatesTo>6</relatesTo><i> ravichandra.gornal@e-plato.com</i><br /><searchLink fieldCode="AR" term="%22Patil%2C+Reena%22">Patil, Reena</searchLink><relatesTo>7</relatesTo><i> Reena.Patil@fujitsu.com</i><br /><searchLink fieldCode="AR" term="%22Patil%2C+Shashidhar+B%2E%22">Patil, Shashidhar B.</searchLink><relatesTo>8</relatesTo><i> shashidhar.b.patil@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Alur%2C+Sunanda%22">Alur, Sunanda</searchLink><relatesTo>9</relatesTo><i> ssallur@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Apr2026, Vol. 16 Issue 2, p766-790. 25p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+leakage%22">Gas leakage</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+robots%22">Autonomous robots</searchLink><br /><searchLink fieldCode="DE" term="%22Arduino+%28Microcontroller%29%22">Arduino (Microcontroller)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A gas leak sensor usually only sends a warning signal, leading to a delay in treatment and increased danger. The proposed study aims to develop an autonomous liquefied petroleum gas (LPG) gas leak detection system along with containment, using an MQ-5 sensor, Arduino Uno, and a stepper motor-based shut-off valve. The proposed system can detect a gas leak in 2.3 seconds and contain it in 3.1 seconds, with a high accuracy rate of 97.5%. The proposed system also offers a major advantage over other gas leak detection systems that only rely on global system for mobile communication (GSM) or internet of things (IoT) based warning messages by using adaptive control with a proportional-integral-derivative (PID) controller, a Laplace transform model, and exponential gas diffusion analysis. The proposed system also includes a feature to sense a smoke alarm and power failure, along with abnormality detection using artificial intelligence (AI)-based analysis. The proposed system is also efficient in terms of power consumption, with an average power consumption of only 2.1 W. The proposed system thus enhances a shift from passive detection to active containment in a smart system, thereby contributing to the domain of electrical and control engineering. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192718344
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.11591/ijece.v16i2.pp766-790
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 766
    Subjects:
      – SubjectFull: PID controllers
        Type: general
      – SubjectFull: Gas leakage
        Type: general
      – SubjectFull: Electric power consumption
        Type: general
      – SubjectFull: Autonomous robots
        Type: general
      – SubjectFull: Arduino (Microcontroller)
        Type: general
    Titles:
      – TitleFull: A smart real-time system for autonomous detection and prevention of LPG gas leaks with theoretical validation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hosur, Ravi
      – PersonEntity:
          Name:
            NameFull: Noola, Daneshwari A.
      – PersonEntity:
          Name:
            NameFull: Hiremath, Ananda S.
      – PersonEntity:
          Name:
            NameFull: Rati, Arpita
      – PersonEntity:
          Name:
            NameFull: Dalawai, Pavitra
      – PersonEntity:
          Name:
            NameFull: Gornal, Ravichandra
      – PersonEntity:
          Name:
            NameFull: Patil, Reena
      – PersonEntity:
          Name:
            NameFull: Patil, Shashidhar B.
      – PersonEntity:
          Name:
            NameFull: Alur, Sunanda
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20888708
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708)
              Type: main
ResultId 1